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Co-location

Weavers Way food coop is receiving $1 million in state aid for its Germantown expansion – The Philadelphia Inquirer

The popular Northwest Philadelphia Weavers Way food cooperative announced this week that it received a $1 million Redevelopment Assistance Capital Program (RACP) grant for the construction of a new location in Germantown.

The grant would cover about a sixth of the construction costs, which remain subject to unpredictable material and labor costs at this point in the pandemic.

We knew going into this that we would need extraordinary funding because its a really tough time to be doing this kind of work, said Kathleen Casey, head of development with Weavers Way.

The RACP funds come on top of $500,000 secured from the Neighborhood Economic Development Grant Program, which is distributed by the municipal Commerce Department and funded by City Council President Darrell L. Clarkes Neighborhood Preservation Initiative (NPI).

Weavers Way also received $200,000 from the nonprofit Reinvestment Fund, and $50,000 from another state grant that is administered by the Food Trust, also a nonprofit. The rest of the funds are largely coming from micro-loans and gifts from co-op members.

State Rep. Chris Rabb (D., Phila.) was instrumental in securing the RACP money for the cooperatives expansion. Although the new location is not in his district, the Chestnut Hill and Mount Airy Weavers Way locations are.

Weavers Way is one of the oldest co-ops in the nation [and] I believe their footprint should be expanded wherever there is need, Rabb said.

Weavers Way was founded in 1973 in Mount Airy and since expanded to Chestnut Hill and a suburban location in Ambler. Casey says that Germantown is home to their fourth largest cluster of members, after the neighborhoods where stores are physically located. It will also be well placed to serve residents of East Falls.

These [customers] are people who are shopping in Mount Airy, which is at capacity. Its bursting at the seams, Casey said. The Mount Airy location is also not a very accessible store. So a lot of members might go as far as Ambler or Chestnut Hill because of access issues if they cant use the stairs.

The Germantown store will be about 6,000 square feet, larger than the two other Philadelphia locations. It will provide 45 high-quality jobs, according to a Commerce Department document explaining the $500,000 NPI grant.

Casey said Germantown is also a strong expansion opportunity because of the unusual level of residential construction in the neighborhood, which saw a surge of real estate interest during the pandemic.

Theres a lot of developers that have been coming in, and theres going to be an influx of new residents in what is already a relatively high populated area of Germantown, Casey said. We believe theres going to be a pretty sizable population base to serve.

Construction is expected to begin early next year. The building, at 328-32 W. Chelten Ave., formerly housed an Acme grocery store but was repurposed for a social services agency. Renovations are expected to be completed next autumn.

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Weavers Way food coop is receiving $1 million in state aid for its Germantown expansion - The Philadelphia Inquirer

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Co-location

First combined police and fire stations for Gloucestershire announced – the two locations – Gloucestershire Live

Police officers will be based at two fire stations in Gloucestershire in a bid to improve working between emergency services. It means Newent and Winchcombe fire stations will see police officers starting and finishing their shifts at the new hubs.

Policing teams would go out on patrol from the bases whether that is on foot or in vehicles, returning for meal breaks. The idea is to tackle issues such as anti-social behaviour and road safety in the local communties.

Teams could also use the building for pre-arranged appointments or meetings with the public and other agencies. They can also serve as bases for local Special Constables and Volunteer Police Community Support Officers which the Police and Crime Commissioner and Constabulary are working to expand.

Read more: Cheltenham Remembrance Day 2022 - Key times and events

Deputy Police and Crime Commissioner (DPCC) Nick Evans, made the announcement at Gloucestershire County Councils Fire and Rescue Scrutiny Committee on Friday. He said: This is a huge step forward in working together with our colleagues in the County Council and GFRS to make our county Safer.

Our Police and Crime Commissioner Chris Nelson promised to expand the visibility and presence of police in more of our communities, particularly rural areas, by making better use of publically-owned buildings, and collaborating with the fire service. This shows we mean business and are delivering on that promise.

Work has already begun to look at other areas where it makes operational sense for similar collaborations to take place, adding to the existing footprint of police buildings. With regular and volunteer officers working from these new stations, there will be a very visible operational impact that will be felt by our communities.

Cllr Dave Norman, cabinet member with responsibility for the Fire and Rescue Service, said: I fully support collaboration between our fire and rescue service and police partners. I am pleased to see that the feasibility has been scrutinised appropriately and that Newent and Winchcombe Community Fire Stations are able to provide a base for the police officers to operate out of collaboratively whilst continuing to provide valuable community services.

The co-location will be at no additional cost to Gloucestershire County Council. It is important we maintain high quality, accessible services whilst ensuring value for money for the residents of Newent and Winchcombe.

Mark Preece, chief fire officer at Gloucestershire Fire and Rescue Service, said: We have a very close working relationship with Gloucestershire Police and are extremely pleased that they will move in to our Community Fire Stations in Newent and Winchcombe with us. We looked at six of our stations across the county with both Newent and Winchcombes feasibility to co-locate successful. We currently have the Ambulance Service based at some of our community fire stations and this is a further step in our commitment to blue light collaboration.

We will always seek out opportunities to collaborate with other Blue Light Services to provide the best possible service to our communities.

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First combined police and fire stations for Gloucestershire announced - the two locations - Gloucestershire Live

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Co-location

Barclays slashes staff in UK equities business – The TRADE – The TRADE News

Barclays Investment Bank has made a number of job cuts to its London equities team this week, according to several people familiar with the matter.Matthew Rogers, managing director and EMEA head of high-touch sales trading, has left the bank; as has Neil McKay, head of European event-driven trading. William Fu, an equities trader, has also left, as has Max Tilley, a director in e-trading.

Robin Wiseman, head of quantamental data science, is also believed to have departed, according to confidential sources. One of the departures confirmed to The TRADE, under condition of anonymity, that the job cuts took place with immediate effect yesterday, 7 November.

Barclays declined to comment. Rogers, Wu and Wiseman didnt immediately respond to a request for comment, McKay and Tilley declined to comment.

The cuts represent a modest headcount reduction and do not signal a change in strategy for the bank, another person said. Instead, the goal is to dynamically refocus the businesson areas with the highest opportunity.

The job cuts are in line with similar moves made by competitors, several of which have reduced headcount due to market conditions. Barclays increased headcount by 5% in 2022 across the corporate and investment bank, added the source.Barclays is not alone in trimming headcount. It was reported last month that Goldman Sachs is planning to implement a round of job cuts that could result in hundreds of dismissals. Citi this week also slashed staff, cutting dozens of jobs across its investment banking division. Wall Street rival Morgan Stanley is also expected to start a fresh round of job cuts globally in the coming weeks, according to a report from Reuters.

The moves come ahead of the annual bonus season.Barclays announced third-quarter results last month and posted a profit on strong bond trading revenue. The lender posted net profit of 1.5 billion, beating analyst expectations. However, the bank was also last month hit with a $2 million fine by the Financial Industry Regulatory Authority (FINRA) for best execution violations.

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Barclays slashes staff in UK equities business - The TRADE - The TRADE News

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Lennar, Icon reveal site of 3D-printed neighborhood near Austin – The Business Journals

Lennar, Icon reveal site of 3D-printed neighborhood near Austin  The Business Journals

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Lennar, Icon reveal site of 3D-printed neighborhood near Austin - The Business Journals

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Co-location

Influenza A virus reassortment in mammals gives rise to genetically distinct within-host subpopulations – Nature.com

Ethical considerations

All the animal experiments were conducted in accordance with the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. The studies were conducted under animal biosafety level 2 containment and approved by the IACUC of Emory University (DAR-2002738-ELMNTS-A) for guinea pig (Cavia porcellus), the IACUC of the University of Georgia (AUP A2015 06-026-Y3-A5) for ferret (Mustela putorius furo) and the IACUC of Kansas State University (protocol #4120) for swine (Sus scrofa). The animals were humanely euthanized following guidelines approved by the American Veterinary Medical Association.

MadinDarby canine kidney (MDCK) cells, a gift from Dr. Robert Webster, St Jude Childrens Research Hospital, Memphis, TN to D.R.P were used for all experiments. A seed stock of MDCK cells at passage 23 was subsequently amplified and maintained in Minimal Essential Medium (Gibco) supplemented with 10% fetal bovine serum (FBS; Atlanta Biologicals) and Normocin (Invivogen). 293T cells (ATCC, CRL-3216) were maintained in Dulbeccos Minimal Essential Medium (Gibco) supplemented with 10% FBS and PS. All cells were cultured at 37C and 5% CO2 in a humidified incubator. The cell lines were not authenticated. All cell lines were tested monthly for mycoplasma contamination while in use. The medium for the culture of IAV in MDCK cells (virus medium) was prepared by supplementing the basal medium for the relevant cell type with 4.3% BSA and Normocin.

Viruses used in this study were derived from influenza A/Netherlands/602/2009 (H1N1) virus (NL09) and were generated by reverse genetics51,52,53. In brief, 293T cells transfected with reverse genetics plasmids 1624h previously were co-cultured with MDCK cells at 37C for 4048h. Recovered virus was propagated in MDCK cells at a low multiplicity of infection to generate working stocks. Titration of stocks and experimental samples was carried out by plaque assay in MDCK cells. Silent mutations were introduced into each segment of the VAR virus by site-directed mutagenesis of reverse genetics plasmids. The specific changes introduced into the VAR virus were reported previously24,31. NL09 VAR virus was engineered to contain a 6XHIS epitope tag plus a GGGS linker at the amino (N) terminus of the HA protein following the signal peptide. NL09 WT virus carries an HA epitope tag plus a GGGS linker inserted at the N terminus of the HA protein31. For animal challenges, 1:1 mixture of NL09 WT and VAR viruses was prepared using methods described previously24. This mixture was validated in cell culture by quantifying cells positive for HIS and HA tags following infection of MDCK cells, revealing an empirically determined ratio of 0.95:1 (WT:VAR). The same mixture was used for all experiments reported herein.

Replication of NL09, NL09 WT, and NL09 VAR viruses was determined in triplicate culture wells. MDCK cells in 6 well dishes were inoculated at an MOI of 0.05 PFU/cell in PBS. After 1h incubation at 37C, inoculum was removed, cells were washed 3x with PBS, 2mL virus medium was added to cells, and dishes were returned to 37C. A 120 ul volume of culture medium was sampled at the indicated times points and stored at 80C. Viral titers were determined by plaque assay on MDCK cells.

Female, Hartley strain guinea pigs weighing 250350g were obtained from Charles River Laboratories and housed by Emory University Department of Animal Resources. Before intranasal inoculation and nasal washing, the guinea pigs were anaesthetized with 30mgkg1 ketamine and 4mgkg1 xylazine by intramuscular injection. The GPID50 of the NL09 virus was previously determined to be 1101 PFU32. To evaluate reassortment kinetics in guinea pigs, groups of six animals were infected with 1103 PFU (1102 ID50) or 1106 PFU (1105 ID50) of the NL09 WT/VAR virus mixtures. Virus inoculum was given intranasally in a 300l volume of PBS. Nasal washes were performed on days 16 post-inoculation and titered by plaque assay. Viral genotyping was performed on samples collected on days 1, 2, and 3 or 4 for each guinea pig. Day 3 was used for animals receiving the higher dose since the virus is cleared rapidly in this system and shedding has ceased by day 4.

Female ferrets, 20-weeks-old, from Triple F Farms (Gillett, PA) were used. All ferrets were seronegative by anti-nucleoprotein (anti-NP) influenza virus enzyme-linked immunosorbent assay, Swine Influenza Virus Ab Test, (IDEXX, Westbrook, ME) prior to infection. Five days prior to experimentation, ferrets were sedated, and a subcutaneous transponder (Bio Medic Data Systems, Seaford, Delaware) was implanted to identify each animal and provide temperature readings. Anesthetics were applied via intramuscular injection with ketamine (20mgkg1) and xylazine (1mgkg1). Infections were performed via intranasal inoculation of 1mL of virus diluted in PBS. Ferret nasal washes were carried out as follows. Ferrets were anesthetized and 1ml of PBS administered to the nose was used to induce sneezing. Expelled fluid was collected into Petri dishes and samples were collected in an additional volume of 1mL PBS. Infected ferrets were monitored daily for clinical signs, temperature, and weight loss. Ferrets were euthanized by intravenous injection of 1ml of Beuthanasia-D diluted 1:1 with DI water (Merck, Madison, NJ).

For determination of ferret ID50, six groups of four ferrets each were inoculated with increasing doses of the NL09 WT/VAR virus mixture (1100.1 PFU, 1100 PFU, 1101 PFU, 1102 PFU, 1103 PFU, and 1104 PFU). Nasal washes were collected daily for up to 6 days and titrated for viral shedding by plaque assay. The ferret ID50 was determined based on results obtained on day 2 and found to be equivalent to 3.2102 PFU.

For analysis of reassortment frequency and detection of viral antigen in tissues, ferrets were inoculated with 3.2104 PFU (1102 ID50) or 3.2107 PFU (1105 ID50). After infections, nasal washes were collected daily for up to 6 days and titrated by plaque assay. Viral genotyping was performed on samples collected on days 1, 3, and 5 for each ferret. Necropsies were performed on days 14 for the collection of nasal turbinate and lung tissues. A single lung lobe (the left caudal lobe) was sampled from each ferret. Tissue sections collected for virology were disrupted in 1mL of sterile PBS using the TissueLyser LT (Qiagen, Germantown, MD) at 30Hz for 5min twice, in microcentrifuge tubes with 3mm Tungsten Carbide Beads (Qiagen, St. Louis, MO). Supernatants were clarified by centrifugation and frozen at 80C until viral titration. For histology, tissues were submerged in 10% buffered formalin (Sigma Aldrich, St. Louis, MO) and stored at room temperature until evaluation.

The pig study was conducted at the Large Animal Research Center (a biosafety level 2+ facility) at Kansas State University in accordance with the Guide for the Care and Use of Agricultural Animals in Research and Teaching of the U.S. Department of Agriculture. To determine virus reassortment and viral antigen in tissues, 18 4-week-old influenza H1 and H3 subtype virus- and porcine reproductive and respiratory syndrome virus-seronegative gender-mixed crossbred pigs were randomly allocated into groups. Each pig was inoculated with 2106 PFU of NL09 WT/VAR mixture through both intranasal and intratracheal routes (106 PFU was administered in a 1ml volume by each of these two routes) under anesthesia as described previously54. Clinical signs for all experimental pigs were monitored daily throughout the experiment. Nasal swabs were collected at 1-, 3-, 5-, and 7-days post infection from each pig. Three infected pigs were euthanized at 3-, 5-, and 7-days post infection. During necropsy, nasal turbinate, trachea, and lung tissues from seven lobes collected from each pig were frozen at 80C for virus isolation and fixed in 10% buffered formalin for IHC examination.

Reassortment frequencies were evaluated by genotyping 21 clonal viral isolates per sample as described previously50. This analysis was applied to guinea pig nasal washes, ferret nasal washes, swine nasal swabs, ferret tissue homogenates, and swine tissue homogenates. Time points to be examined were chosen based on positivity in all animals in a treatment group. Thus, nasal wash samples from days 1, 2, 3, or 4 were evaluated from guinea pigs while samples from days 1, 3, and 5 were evaluated for swine and ferrets. Ferret tissues collected on days 1, 2, 3, and 4 and swine tissues collected on days 3 and 5 were analyzed.

Briefly, plaque assays were performed on MDCK cells in 10cm dishes to isolate virus clones. Serological pipettes (1ml) were used to collect agar plugs into 160l PBS. Using a ZR-96 viral RNA kit (Zymo), RNA was extracted from the agar plugs and eluted in 40l nuclease-free water (Invitrogen). Reverse transcription was performed using Maxima reverse transcriptase (RT; ThermoFisher) according to the manufacturers protocol. The resulting cDNA was diluted 1:4 in nuclease-free water and each cDNA was combined with segment-specific primers (Supplementary Data3)24,31 designed to amplify a region of approximately 100 base pairs. The amplicon for each segment contains the site of the single nucleotide change in the VAR virus. Quantitative PCR was performed with Precision Melt Supermix (Bio-Rad) using a CFX384 Touch Real-Time PCR Detection System (Bio-Rad). Quantitative PCR data was collected using CFX Manager Software v2.1 (Bio-Rad). Template amplification was followed by high-resolution melt analysis to differentiate the WT and VAR amplicons55. Precision Melt Analysis software v1.2 (Bio-Rad) was used to determine the parental origin of each gene segment based on the melting properties of the cDNA amplicons relative to WT and VAR controls. Each plaque was assigned a genotype based on the combination of WT and VAR genome segments, with two variants on each of eight segments allowing for 256 potential genotypes.

Tissue samples from nasal turbinates of ferrets, the right caudal lung lobe of ferrets, and all seven lung lobes of swine were fixed in 10% neutral buffered formalin for at least 24h before being embedded in paraffin. Nasal turbinates were decalcified prior to being embedded in paraffin. Sections from all the tissues were cut and slides were prepared. The tissues were deparaffinized by warming the slides at 60C on a slide warmer for 45min followed by immersion in xylenes (Sigma) for 25min. The slides were then immersed in 100% ethanol for 10min, 95% ethanol for 10min, and 70% ethanol for 5min. The slides were then washed by placing them in deionized water for 1h. Antigen retrieval was performed by steaming the slides in 10mM citric acid, pH 6.0 for 45min, followed by washing in tap water and 1 PBS (Corning) for 5min. The WT and VAR viruses were detected in the tissues using a mouse anti-HA Alexa Fluor 488 (Invitrogen catalog number A-21287; clone 16B12; 1:50 dilution) and mouse anti His Alexa Fluor 555 (Invitrogen catalog number MA1-135-A555; clone 4E3D10H2/E3; 1:50 dilution) while epithelial cell borders were stained using rabbit anti-Na+K+ ATPase Alexa Fluor 647 (Abcam catalog number 198367; clone EP1845Y; 1:100 dilution) at 4C overnight. Slides were washed three times in 1 PBS (Corning) and once in deionized water to remove excess antibody. The slides were mounted onto glass coverslips using ProLong Diamond Anti Fade mounting media (ThermoFisher). The images were acquired using an Olympus FV1000 Confocal Microscope at 60 magnification under an oil immersion objective. The specificity of the antibodies was confirmed by infecting MDCK cells with either the NL09 WT, NL09 VAR, or both viruses for 24h. The cells were fixed using 4% paraformaldehyde (Alfa Aesar) and stained for HA and His tags using the antibodies as described above (Supplementary Fig.9).

For morphological analysis via IHC, the slides were pre-treated in pH 9.0 buffer at 110C for 15min. Blocking was performed using hydrogen peroxide for 20min followed by PowerBlock (BioGenex) for 5min. Slides were washed with PBS thrice and NP antigen was detected using a goat anti-influenza NP polyclonal antibody (abcam catalog number ab155877; 1:1000 dilution) for 1h. Slides were washed thrice with PBS to remove excess antibody and incubated with a rabbit anti-goat biotinylated IgG (Vector laboratories catalog number BA-5000; 1:5000 dilution) for 10min. After washing, 4Plus Alkaline Phosphatase Label (BioCare Medical) was added for 10min. The antigen signal was detected by incubating the slides in Chromogen IP Warp Red stain (BioCare Medical) for 10min. Haematoxylin counterstaining was performed post-antigen staining.

Figures were generated using Python 3 v3.1056 and the packages matplotlib v3.6.057, NumPy v1.23.358, pandas v1.5.059, and seaborn v0.12.060. Simulations were conducted in Python 3 v3.10.

Here a viral genotype is defined as a unique combination of the eight IAV segments, where each segment is derived from either the variant or wild-type parental virus; therefore, there are 28 possible unique genotypes, with two parental genotypes and 254 reassortant genotypes. For any given sample, the frequency of each unique genotype can be calculated by dividing the number of appearances each unique genotype has in the sample by the total number of clonal isolates obtained for that sample.

Understanding the distribution of unique genotypes involves using both unweighted and weighted genotype frequency statistics. Genotype richness ((S)) does not incorporate genotype frequency and is given by the number of unique genotypes in a sample. Given our sample size of 21 plaque isolates, genotype richness, or the number of distinct genotypes detected in a sample, can range from a minimum of 1 (a single genotype is detected 21 times) to a maximum of 21 (21 unique genotypes detected).

Diversity was measured using the ShannonWeiner index (H), which considers both richness and evenness in the frequency with which genotypes are detected. In our dataset, diversity can range from 0 to 3.04. ShannonWiener diversity was calculated as:

$$H=-mathop{sum }limits_{i=1}^{S}({p}_{i} * {ln}{p}_{i})$$

(1)

where (S) is genotype richness and ({p}_{i}) is the frequency of unique genotype (i) in the sample (6).

To address whether evaluating 21 plaques per sample for this analysis was sufficient to yield robust results on genotype diversity, we used a computational simulation to test the sensitivity of the measured diversity values to the number of plaques sampled. In these simulations, we calculated the diversity present in samples generated by randomly picking n (out of the possible 21) plaques without replacement. At each sampling effort n, we simulated 1000 samples, with plaque replacement between samples. The results typically show that diversity values increase as n increases, with values asymptoting as n approaches 21, suggesting that further increases in n would not greatly change results and validating the use of 21 plaques (Supplementary Fig.10).

To evaluate the extent to which the spatial dynamics of viral reassortment and propagation shape the overall richness and diversity in a host, we sought to compare the observed richness and diversity at each anatomical site to that which would be expected if virus moves freely among anatomical locations. Thus, to simulate free mixing within the host, we randomly shuffled observed viral genotypes among all sites in a given animal. The average richness and ShannonWiener index of the simulated viral populations at each site were then calculated. The 5th and 95th percentiles for the simulated distribution of each animal were calculated and compared to the observed richness and diversity for each of the anatomical sites. If a sites observed richness and diversity fell below the 5th percentile or above the 95th percentile, then a barrier to the influx or efflux of reassortant genotypes from or to the other sites is suggested.

The dissimilarity between populations can be measured by beta diversity. For this study, we evaluated beta diversity from a richness perspective, focusing on dissimilarity in the unique genotypes detected and excluding consideration of their frequency. This approach was used to de-emphasize the effects of WT and VAR parental genotypes, which were likely seeded into all anatomical locations at the time of inoculation. We calculate the beta diversity by treating the viral genotypes in two lobes as two distinct populations:

$$beta=frac{{S}_{1+2}}{frac{1}{2}({S}_{1}+{S}_{2})}$$

(2)

where ({S}_{1+2}) is the richness of a hypothetical population composed of pooling the viral genotypes of the two lobes while (frac{1}{2}({S}_{1}+{S}_{2})) represents the mean richness of the lobes (7). The beta diversity of a single comparison can be normalized so that it ranges from zero to one:

$${{BD}}^{{prime} }=frac{{BD}-1}{{{BD}}_{{max }}-1}{beta }_{n}$$

(3)

where ({{BD}}_{{max }}) is the beta diversity calculated by assuming that there are no viral genotypes shared by both lobes (7). A ({{BD}}^{{prime} }{beta }_{n}) closer to one indicates that the lobes viral populations are more dissimilar while a ({{BD}}^{{prime} }{beta }_{n}) closer to zero suggests that the lobes have similar unique viral genotypes and overall viral richness. A ({{BD}}^{{prime} }) ({beta }_{n})of zero occurs when all unique genotypes present in one lobe are also present in the other.

To address whether evaluating 21 plaques per sample for this analysis was sufficient to yield robust results on beta diversity, we again used computational simulations. These simulations were designed to test the sensitivity of beta diversity values to the number of plaques sampled. In these simulations, we again generated plaque data subsets by randomly picking n (out of the possible 21) plaques without replacement. At each sampling effort n, we simulated 1000 samples, with plaque replacement between samples. Beta diversity values were then calculated based on these data subsets, at a given n. The results typically show that ({beta }_{n})values tend to stabilize as n approaches 21, suggesting that further increases in n would not greatly change results and validating the use of 21 plaques (Supplementary Fig.10). In a subset of cases that involve the nasal sample of Pig 5, however, the relationship between ({beta }_{n}) and n is less stable. In sharp contrast to most other samples from Pig 5, the nasal site showed 20WT parental isolates and one VAR parental isolate. The lung tissues had no WT parental genotypes detected. As a result, each successive plaque draw from the nasal sample increases the probability of detecting the VAR virus and therefore detecting a commonality between the nasal tract and any of the lung lobes. Thus, in situations where two tissue sites have a single, relatively rare genotype in common, the number of plaques sampled has a strong impact on ({beta }_{n}) outcomes.

To simulate free mixing between two lobes, we randomly shuffled the genotypes between each of the 28 pairwise combinations among pig tissues and the single ferret lung-NT combination and computed the ({{BD}}^{{prime} }{beta }_{n}) for each comparison. Free mixing for all combinations was simulated 1000 times. We reasoned that if compartmentalization was present in the observed dataset, then the dissimilarity values would fall at the high end of the simulated distribution (>95th percentile).

Percentiles were calculated using the percentileofscore method from the SciPy package v1.9.159. Paired t tests and ANOVA tests were performed using the ttest_rel method and the f_oneway method respectively from the SciPy Package v1.9.159.

Further information on research design is available in theNature Portfolio Reporting Summary linked to this article.

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Influenza A virus reassortment in mammals gives rise to genetically distinct within-host subpopulations - Nature.com

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Co-location

Outlook on the Data Center Colocation Global Market to 2026 – Featuring China Telecom, CoreSight Realty and CyrusOne Among Others – PRNewswire

DUBLIN, Jan. 19, 2022 /PRNewswire/ -- The "Data Center Colocation Market By Type, By Enterprise Size, By End-Users, And By Regions - Global & Regional Industry Perspective, Comprehensive Analysis, and Forecast 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.

The global data center colocation market was about USD 39.56 Billion in 2020, with sales value projected to hit around USD 67.98 Billion by the end of 2026 and expected to register an excellent 15.6% CAGR during 2021-2026.

Data center colocations or simply carrier hotels are often referred to as the locational-based services that offer a retail-based approach for users in terms of equipment, space, and the technical bandwidth that is often required for these services. Additionally, these data centers often contain the space that can integrate spacing, cooling, and the groundwork that is required for storage, server, and networking equipment. The pivotal factors for the growth in the global data center colocation market are increasing demand for IT-based infrastructure and needs coupled with decreasing costs of IT expenditure to name a few.

Additionally, factors pertaining to decreasing costs of data centers coupled with a rising trend of business practices becoming more codependent on data centers are expected to blow the outlook for the global data center colocation market during the forecast duration. Increasing demand from social media platforms and over-the-top platforms during the COVID-19 pandemic will further boost the sales of the global data center colocation market during the forecast period.

Top Market Players

The key market participants for the global data center colocation market are Global Switch, NaviSite, NTT Communications, Inc., Telehouse, Interixon Holding N.V., Fabros Communications, Inc., Dupont, and American Telephone & Telegraph, Inc., and Zayo Group Holdings, Inc., to name a few.

Market Dynamics

On the basis of type, the global data center colocation market can be segmented into retail and wholesale. The segment pertaining to retail is expected to occupy the largest market share during the advent of the forecast owing to a range of flexible measures in its functionality coupled with increased integration measures for small-scale businesses due to a smaller flow of data streams to name a few.

On the basis of end-users, the global data center colocation market can be divided into retail, BSFI, IT & Telecom, healthcare, media & entertainment, and others. The segment pertaining to IT & telecom is expected to witness the largest market share during the advent of the forecast owing to a surge of mobile internet users coupled with a productive cycle of continuous development in the sector to name a few.

North America to Flourish During the Forecast Period on a Global Overview

North America is expected to witness the largest market share during the advent of the forecast owing to the rising presence of the key market players in the region coupled with an increasing number of cloud service providers to name a few.

Additionally, an increasing number of SMEs incorporating data centers in their functioning coupled with rising e-commerce sales are expected to boost the increase in the footprint of the data center colocation market during the forecast period. The increasing rate of investment from retailers in building strong IT infrastructures is further expected to increase revenue opportunities for the data center colocation market during the forecast period.

Key Topics Covered:

Chapter 1 Executive Summary1.1. Introduction of Data Center Colocation1.2. Global Data Center Colocation Market, 2019 & 2026 (USD Billion)1.3. Global Data Center Colocation Market, 2016 - 2026 (USD Billion)1.4. Global Data Center Colocation Market Absolute Revenue Opportunity, 2016 - 2026 (USD Billion)1.5. Global Data Center Colocation Market Incremental Revenue Opportunity, 2020 - 2026 (USD Billion)

Chapter 2 Data Center Colocation Market - Type Analysis2.1. Global Data Center Colocation Market - Type Overview2.2. Global Data Center Colocation Market Share, by Type, 2019 & 2026 (USD Billion)2.3. Retail2.3.1. Global Retail Data Center Colocation Market, 2016 - 2026 (USD Billion)2.4. Wholesale2.4.1. Global Wholesale Data Center Colocation Market, 2016 - 2026 (USD Billion)

Chapter 3 Data Center Colocation Market - Enterprise Size Analysis3.1. Global Data Center Colocation Market - Enterprise Size Overview3.2. Global Data Center Colocation Market Share, by Enterprise Size, 2019 & 2026 (USD Billion)3.3. SMEs3.3.1. Global SMEs Data Center Colocation Market, 2016 - 2026 (USD Billion)3.4. Large Scale Enterprises3.4.1. Global Large Scale Enterprises Data Center Colocation Market, 2016 - 2026 (USD Billion)

Chapter 4 Data Center Colocation Market - End-Users Analysis4.1. Global Data Center Colocation Market - End-Users Overview4.2. Global Data Center Colocation Market Share, by End-Users, 2019 & 2026 (USD Billion)4.3. Retail4.3.1. Global Retail Data Center Colocation Market, 2016 - 2026 (USD Billion)4.4. BSFI4.4.1. Global BSFI Data Center Colocation Market, 2016 - 2026 (USD Billion)4.5. IT & Telecom4.5.1. Global IT & Telecom Data Center Colocation Market, 2016 - 2026 (USD Billion)4.6. Healthcare4.6.1. Global Healthcare Data Center Colocation Market, 2016 - 2026 (USD Billion)4.7. Media & Entertainment4.7.1. Global Media & Entertainment Data Center Colocation Market, 2016 - 2026 (USD Billion)4.8. Others4.8.1. Global Others Data Center Colocation Market, 2016 - 2026 (USD Billion)

Chapter 5 Data Center Colocation Market - Regional Analysis

Chapter 6 Data Center Colocation Market - Competitive Landscape6.1. Competitor Market Share - Revenue6.2. Market Concentration Rate Analysis, Top 3 and Top 5 Players6.3. Strategic Developments6.3.1. Acquisitions and Mergers6.3.2. New Products6.3.3. Research & Development Activities

Chapter 7 Company Profiles7.1. China Telecom Corp Ltd7.1.1. Company Overview7.1.2. Product/Service Portfolio7.1.3. China Telecom Corp Ltd Sales, Revenue, and Gross Margin7.1.4. China Telecom Corp Ltd Revenue and Growth Rate7.1.5. China Telecom Corp Ltd Market Share7.1.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.2. CoreSite Realty Corp7.2.1. Company Overview7.2.2. Product/Service Portfolio7.2.3. CoreSite Realty Corp Sales, Revenue, and Gross Margin7.2.4. CoreSite Realty Corp Revenue and Growth Rate7.2.5. CoreSite Realty Corp Market Share7.2.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.3. CyrusOne Inc7.3.1. Company Overview7.3.2. Product/Service Portfolio7.3.3. CyrusOne Inc Sales, Revenue, and Gross Margin7.3.4. CyrusOne Inc Revenue and Growth Rate7.3.5. CyrusOne Inc Market Share7.3.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.4. Cyxtera Technologies Inc7.4.1. Company Overview7.4.2. Product/Service Portfolio7.4.3. Cyxtera Technologies Inc Sales, Revenue, and Gross Margin7.4.4. Cyxtera Technologies Inc Revenue and Growth Rate7.4.5. Cyxtera Technologies Inc Market Share7.4.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.5. Digital Realty Trust Inc7.5.1. Company Overview7.5.2. Product/Service Portfolio7.5.3. Digital Realty Trust Inc Sales, Revenue, and Gross Margin7.5.4. Digital Realty Trust Inc Revenue and Growth Rate7.5.5. Digital Realty Trust Inc Market Share7.5.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.6. Equinix Inc7.6.1. Company Overview7.6.2. Product/Service Portfolio7.6.3. Equinix Inc Sales, Revenue, and Gross Margin7.6.4. Equinix Inc Revenue and Growth Rate7.6.5. Equinix Inc Market Share7.6.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.7. Global Switch7.7.1. Company Overview7.7.2. Product/Service Portfolio7.7.3. Global Switch Sales, Revenue, and Gross Margin7.7.4. Global Switch Revenue and Growth Rate7.7.5. Global Switch Market Share7.7.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.8. NaviSite7.8.1. Company Overview7.8.2. Product/Service Portfolio7.8.3. NaviSite Sales, Revenue, and Gross Margin7.8.4. NaviSite Revenue and Growth Rate7.8.5. NaviSite Market Share7.8.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.9. NTT Communications Inc7.9.1. Company Overview7.9.2. Product/Service Portfolio7.9.3. NTT Communications Inc Sales, Revenue, and Gross Margin7.9.4. NTT Communications Inc Revenue and Growth Rate7.9.5. NTT Communications Inc Market Share7.9.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.10. Telehouse7.10.1. Company Overview7.10.2. Product/Service Portfolio7.10.3. Telehouse Sales, Revenue, and Gross Margin7.10.4. Telehouse Revenue and Growth Rate7.10.5. Telehouse Market Share7.10.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.11. Interixon Holding N.V7.11.1. Company Overview7.11.2. Product/Service Portfolio7.11.3. Interixon Holding N.V Sales, Revenue, and Gross Margin7.11.4. Interixon Holding N.V Revenue and Growth Rate7.11.5. Interixon Holding N.V Market Share7.11.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.12. Fabros Communications Inc7.12.1. Company Overview7.12.2. Product/Service Portfolio7.12.3. Fabros Communications Inc Sales, Revenue, and Gross Margin7.12.4. Fabros Communications Inc Revenue and Growth Rate7.12.5. Fabros Communications Inc Market Share7.12.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.13. Dupont and American Telephone & Telegraph Inc7.13.1. Company Overview7.13.2. Product/Service Portfolio7.13.3. Dupont and American Telephone & Telegraph Inc Sales, Revenue, and Gross Margin7.13.4. Dupont and American Telephone & Telegraph Inc Revenue and Growth Rate7.13.5. Dupont and American Telephone & Telegraph Inc Market Share7.13.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations7.14. Zayo Group Holdings Inc7.14.1. Company Overview7.14.2. Product/Service Portfolio7.14.3. Zayo Group Holdings Inc Sales, Revenue, and Gross Margin7.14.4. Zayo Group Holdings Inc Revenue and Growth Rate7.14.5. Zayo Group Holdings Inc Market Share7.14.6. Recent Initiatives, Funding/VC Activities, and Technological Innovations

Chapter 8 Data Center Colocation - Industry Analysis

Chapter 9 Industrial Chain, Sourcing Strategy, and Downstream Buyers

Chapter 10 Marketing Strategy Analysis

Chapter 11 Report Conclusion & Key Insights

Chapter 12 Research Approach & Methodology

For more information about this report visit https://www.researchandmarkets.com/r/in1ku6

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Research and Markets Laura Wood, Senior Manager [emailprotected]

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Outlook on the Data Center Colocation Global Market to 2026 - Featuring China Telecom, CoreSight Realty and CyrusOne Among Others - PRNewswire

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Co-location

Springfield coffee house to close south-side spot 2 months short of one-year anniversary – The State Journal-Register

Jan. 30is Grateful Coffee Co.'s final day of operation at 1370 Toronto Road.

The locally-owned coffee house is closing two months shy of its first anniversary but owners say this only marks an end for the south side-address, not the business brand.

We arent getting the foot traffic we needed, said Brandon Austin, who co-owns the business with his wife, Cana. The people who were coming were fantastic, incredibly kind. There just werent enough to make it at that location.

But were considering alternate locations where either there isnt coffee already there or the traffic is.

Last year: Owners of new Springfield coffee shop want it to be more than a mocha spot

Austin said they are turning their attention to brick-and-mortar sites on the citys retail centers on the west side and North Dirksen Parkway. Other considerations, he added, could be operating a food truck or selling roasted coffee beans to a local third-party retailer using the Grateful Coffee Co. label.

Austin did not have a timeframe on how soon the Grateful Coffee Co. name might return in any of these capacities.

Grateful Coffee Co. opened in the former Three Twigs Bakerysite last April on the heels of the local bakery striking out westward itself. The newly-christened Three Twigs Bakery & Bistro operates at 3429 Freedom Drive in Parkway Pointe Shopping Center.

Several businesses have attempted to establish the Toronto Road address as a stop for south side commuters to pick up a cup of joe. Free Press Coffee Houseopened at the site in 2017, but just lasted a year. Three Twigs called the spot home for two years.

Natalie Morris can be reached at 737-7254 or by email at natalie.sjr@gmail.com.

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Springfield coffee house to close south-side spot 2 months short of one-year anniversary - The State Journal-Register

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Co-location

TeraGo to Divest Cloud and Colocation Business Lines to Hut 8 Mining Corp. – Yahoo Finance

Strategic Divestiture Positions TeraGo to Focus on its 5G Private Networking Business

TORONTO, Jan. 20, 2022 /CNW/ - TeraGo Inc. ("TeraGo" or the "Company") (TSX: TGO) (www.terago.ca), announced today it has entered into a definitive agreement to sell its cloud and colocation business lines to a subsidiary of Hut 8 Mining Corp. (Nasdaq: HUT) (TSX: HUT) ("Hut 8") for an aggregate consideration of Cdn.$30 million payable in cash upon completion of the transaction.

Under the agreement, Hut 8 is acquiring TeraGo's cloud and colocation customers, employees, certain other contracts, intellectual property rights, and other assets related to its cloud and colocation business lines. The company's senior executives and employees that are part of TeraGo's fixed wireless access and 5G business line will remain with TeraGo. Additionally, in order to ensure the smooth operation and transfer of the cloud and colocation business lines, TeraGo will provide support and transition services over the next few months.

"TeraGo is uniquely positioned in Canada with our broad customer base for wireless services and our extensive millimeter wave spectrum licenses; this transaction will enable us to focus on leveraging these assets in our move to become Canada's leading provider of mmWave 5G private networks for businesses," said TeraGo's CEO Matthew Gerber. "We see the need for 5G private networks accelerating in the next few years as manufacturers, distributors, transportation companies and other industries seek to leverage the benefits of ultra-fast, ultra-low latency, private and secure communications to improve operational efficiencies and lower costs. We also believe that we found a great partner in Hut 8 as it has the capabilities to support our cloud and colocation customers for the long term, and provides opportunities for our two companies to deliver services to each other's customers going forward."

Story continues

The transaction is expected to close in the first quarter of 2022.

Advisors

DH Capital is serving as financial advisor to TeraGo and InHaus Legal LLP & Norton Rose Fulbright Canada LLP are acting as its legal counsel.

About TeraGoTeraGo owns a national spectrum portfolio of exclusive 24 GHz and 38 GHz wide-area spectrum licences including 2,120 MHz of spectrum across Canada's 6 largest cities. TeraGo provides businesses across Canada with cloud, colocation and connectivity services. TeraGo manages over 3,000 cloud workloads, operates five data centres in the Greater Toronto Area, the Greater Vancouver Area, and Kelowna, and owns and manages its own IP network. The Company serves business customers in major markets across Canada including Toronto, Montreal, Calgary, Edmonton, Vancouver, Ottawa and Winnipeg. For more information about TeraGo, please visit http://www.terago.ca.

Forward-Looking Statements

This news release includes certain forward-looking statements. By their nature, forward-looking statements are subject to numerous risks and uncertainties, some of which are beyond TeraGo's control. The completion of the proposed transaction with Hut 8 is subject to certain terms and conditions which TeraGo believes to be customary. Such terms and conditions may not be satisfied or obtained in accordance with their terms, in which case the proposed transaction could be modified or terminated, as applicable. Other forward-looking statements may include but are not limited to statements regarding the timing for closing of the proposed transaction, as well as statements regarding the further developing our 5G Fixed Wireless Access program, consistently executing across all fronts of the business, success in providing Canadian enterprises with managed services and the 5G fixed wireless trials being conducted by the Company. All such statements constitute "forward-looking information" as defined under, applicable Canadian securities laws. Any statements contained herein that are not statements of historical facts constitute forward-looking information. The forward-looking statements reflect the Company's views with respect to future events and is subject to risks, uncertainties and assumptions, including those risks set forth in the "Risk Factors" sections in the annual MD&A of the Company for the year ended December 31, 2020 and the MD&A of the Company for the three and nine months ended September 30, 2021, each available on http://www.sedar.com under the Company's corporate profile. Factors that could cause actual results or events to differ materially include the inability to consistently achieve sales growth across all lines of TeraGo's business including managed services, inability to complete successful 5G technical trials, the impacts and restrictions caused by the COVID-19 pandemic are prolonged which may further delay customer trials and/or cause a negative impact on future financial results of the Company, TeraGo's Pandemic Response Plan may not mitigate all impacts of COVID-19, the results of the 5G trials not being satisfactory to TeraGo or any of its technology partners, regulatory requirements may delay or inhibit the trial, the economic viability of any potential services that may result from the trial, the ability for TeraGo to further finance and support any new market opportunities that may present itself, and industry competitors who may have superior technology or are quicker to take advantage of 5G technology. Accordingly, readers should not place undue reliance on forward-looking statements as several factors could cause actual future results, conditions, actions or events to differ materially from the targets, expectations, estimates or intentions expressed with the forward-looking statements. Except as may be required by applicable Canadian securities laws, TeraGo does not intend, and disclaims any obligation, to update or revise any forward-looking statements whether in words, oral or written as a result of new information, future events or otherwise.

SOURCE TeraGo Inc.

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View original content: http://www.newswire.ca/en/releases/archive/January2022/20/c9600.html

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TeraGo to Divest Cloud and Colocation Business Lines to Hut 8 Mining Corp. - Yahoo Finance

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On a growth spurt of its own, vertical farming startup Fifth Season announces second farm location, new leadership hires – Pittsburgh Business Times

On a growth spurt of its own, vertical farming startup Fifth Season announces second farm location, new leadership hires  Pittsburgh Business Times

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On a growth spurt of its own, vertical farming startup Fifth Season announces second farm location, new leadership hires - Pittsburgh Business Times

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Co-location

8 Best 5G Stocks to Buy in 2022 – WTOP

Here are eight stocks benefiting from the 5G boom. In the past few years, 5G has transitioned from a trendy

Here are eight stocks benefiting from the 5G boom.

In the past few years, 5G has transitioned from a trendy tech buzzword to one of the largest near-term growth trends on Wall Street. Wireless providers are rolling out 5G networks all over the world. These next-generation networks allow for faster, higher-quality internet connections; greater global connectivity; increased capacity for advanced connected software applications; and less latency for users. Multinational telecom company Ericsson estimates that there will be 4.4 billion 5G subscribers by the end of 2027 thanks to network expansions in China and North America and new 5G-enabled device launches. Here are eight of Bank of Americas top 5G stocks to buy.

Verizon Communications Inc. (ticker: VZ)

When it comes to 5G winners, network carriers are at the top of the list. Verizon recently said its 5G network will cover 100 million people in more than 1,700 cities by the end of January 2022. The company may need to revise that estimate after it agreed on Jan. 18 to pause its 5G rollout plans near some U.S. airports, but that hiccup affects a small portion of its service area. Analyst David Barden says Verizon has the most defensible customer base and the most profitable business of any of the big three U.S. wireless providers. Barden says asset divestments have improved the companys balance sheet, and Verizon shares also pay a 4.8% dividend. Bank of America has a buy rating and a $64 price target for VZ stock, which closed at $53.50 on Jan. 19.

Digital Realty Trust Inc. (DLR)

Digital Realty Trust is Bardens top 5G data center stock pick for 2022. Barden says Digital Realtys exposure to emerging growth markets in Africa, Asia and India will help the company outperform peers in 2022 and beyond. Digital Realty recently announced plans to acquire a 55% stake in African data center provider Teraco Data Environments Pty. Ltd. for about $1.73 billion, and Barden says Teraco will give Digital Realty a dominant footprint in a high growth market. Barden says Digital Realty has also successfully navigated rising power prices in recent quarters. Bank of America has a buy rating and a $190 price target for DRT, which closed at $154.93 on Jan. 19.

Equinix Inc. (EQIX)

Equinix is the worlds largest data center operator. Barden says Equinixs September acquisition of GPX India Pvt. Ltd. will help the company tap into the growing South Asian market. In November, Equinix announced a partnership with Dish Network Corp. (DISH) to provide connectivity infrastructure for Dishs 5G network. Barden says network-neutral co-location will drive growth for Equinix thanks to its unique market positioning. He says the stock is undervalued given the companys strong and highly visible growth outlook and the stickiness of its current business. Bank of America has a buy rating and an $865 price target for EQIX stock, which closed at $730.49 on Jan. 19.

SBA Communications Corp. (SBAC)

SBA Communications operates 5G wireless communications towers and is Bardens top 2022 stock pick among tower operators. Barden says carriers will spend aggressively to expand their 5G networks this year, which is great news for tower operators. SBA generates more than 80% of its revenue from the U.S. market, making it better positioned for the 2022 5G ramp-up than other international tower companies. In addition, Barden says SBA is relatively insulated from regulatory headwinds, rising interest rates and the ongoing pandemic and has best-in-class assets. Bank of America has a buy rating and a $365 price target for SBAC stock, which closed at $321.23 on Jan. 19.

Ciena Corp. (CIEN)

Ciena is one of analyst Tal Lianis top 5G network infrastructure picks for 2022. Liani says Cienas revenue growth will increase from 2.5% in 2021 to 12% in 2022 thanks in part to booming bandwidth demand from the telecom sector. Liani says Ciena is the best investment in optical networking. Amazon.com Inc. (AMZN), Meta Platforms Inc. (FB), Alphabet Inc. (GOOG, GOOGL) and Microsoft Corp. (MSFT) accounted for more than $1 billion of Cienas orders in 2021, and the company expects aggressive spending from web-scalers in the next few years. Bank of America has a buy rating and a $91 price target for CIEN stock, which closed at $68.21 on Jan. 19.

F5 Inc. (FFIV)

F5 is Lianis other top 5G network infrastructure stock pick. He says F5 has multiple catalysts that could potentially drive revenue growth acceleration this year, including aggressive data center investments and an uptick in software revenue stemming from three-year contract renewals. Liani says F5s impressive growth numbers are a testament to its successful transition from hardware sales to software sales. In addition, F5 is expanding its security portfolio, and recent acquisition Threat Stack Inc. should add about $15 million in fiscal 2022 revenue. Bank of America has a buy rating and a $285 price target for FFIV stock, which closed at $222.80 on Jan. 19.

American Tower Corp. (AMT)

American Tower is a specialized real estate investment trust that owns a portfolio of wireless communications towers. Barden says towers are a critical and stable part of the wireless network infrastructure, making stocks such as AMT excellent long-term investments. American Tower has also been expanding its holdings into the data center market. Wireless subscriber and usage growth are tail winds for AMT, and Barden says the company has the most conservative balance sheet among its peers. On top of that, AMT shares pay a 2.2% dividend. Bank of America has a buy rating and a $315 price target for AMT stock, which closed at $249 on Jan. 19.

Marvell Technology Inc. (MRVL)

Marvell Technology is a semiconductor company that serves the data storage, communications and consumer markets. Analyst Vivek Arya says Marvells 5G network opportunity is still in the early stages and projects that the companys annual 5G revenue run rate will increase from less than $600 million in late 2021 to $800 million by the end of 2022. Arya says Marvells stock trades at a valuation premium to its semiconductor peers, but that premium is more than justified by the companys best-in-class 33% compound annual earnings growth rate. Bank of America has a buy rating and a $115 price target for MRVL stock, which closed at $76.89 on Jan. 19.

8 best 5G stocks to buy in 2022:

Verizon Communications Inc. (VZ)

Digital Realty Trust Inc. (DLR)

Equinix Inc. (EQIX)

SBA Communications Corp. (SBAC)

Ciena Corp. (CIEN)

F5 Inc. (FFIV)

American Tower Corp. (AMT)

Marvell Technology Inc. (MRVL)

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8 Best 5G Stocks to Buy in 2022 originally appeared on usnews.com

Update 01/20/22: This story was previously published at an earlier date and has been updated with new information.

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8 Best 5G Stocks to Buy in 2022 - WTOP