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The San José Bike Party (SJBP) is a diverse collective of cyclists gathering for monthly group rides around the urban centre of San José, California. By leveraging social networking platforms, the SJBP announces a route and theme just prior to the ride each month. We argue that organizing, producing, and participating in these rides constitute a political act which can help to promote civic engagement and collective action. Further, we explored the way in which collective action can be fostered via social media. Through analysis of semi-structured individual interviews, focus-group interviews, moving methodologies and field observations derived from researcher participation in SJBP events, we articulate the complexities of contested and negotiated meanings of the use of technology, social media and activism assigned to the event by participants, yielding these themes: Critical Analysis of Social Media's Influence, Political Expressions in the SJBP and Prefigurative Politics in the SJBP. [ABSTRACT FROM AUTHOR]

Genomic breeding programs have been paramount in improving the rates of genetic progress of productive efficiency traits in livestock. Such improvement has been accompanied by the intensification of production systems, use of a wider range of precision technologies in routine management practices, and high-throughput phenotyping. Simultaneously, a greater public awareness of animal welfare has influenced livestock producers to place more emphasis on welfare relative to production traits. Therefore, management practices and breeding technologies in livestock have been developed in recent years to enhance animal welfare. In particular, genomic selection can be used to improve livestock social behavior, resilience to disease and other stress factors, and ease habituation to production system changes. The main requirements for including novel behavioral and welfare traits in genomic breeding schemes are: (1) to identify traits that represent the biological mechanisms of the industry breeding goals; (2) the availability of individual phenotypic records measured on a large number of animals (ideally with genomic information); (3) the derived traits are heritable, biologically meaningful, repeatable, and (ideally) not highly correlated with other traits already included in the selection indexes; and (4) genomic information is available for a large number of individuals (or genetically close individuals) with phenotypic records. In this review, we (1) describe a potential route for development of novel welfare indicator traits (using ideal phenotypes) for both genetic and genomic selection schemes; (2) summarize key indicator variables of livestock behavior and welfare, including a detailed assessment of thermal stress in livestock; (3) describe the primary statistical and bioinformatic methods available for large-scale data analyses of animal welfare; and (4) identify major advancements, challenges, and opportunities to generate high-throughput and large-scale datasets to enable genetic and genomic selection for improved welfare in livestock. A wide variety of novel welfare indicator traits can be derived from information captured by modern technology such as sensors, automatic feeding systems, milking robots, activity monitors, video cameras, and indirect biomarkers at the cellular and physiological levels. The development of novel traits coupled with genomic selection schemes for improved welfare in livestock can be feasible and optimized based on recently developed (or developing) technologies. Efficient implementation of genetic and genomic selection for improved animal welfare also requires the integration of a multitude of scientific fields such as cell and molecular biology, neuroscience, immunology, stress physiology, computer science, engineering, quantitative genomics, and bioinformatics. [ABSTRACT FROM AUTHOR]

Genetic improvement of livestock productivity has resulted in greater production of metabolic heat and potentially greater susceptibility to heat stress. Various studies have demonstrated that there is genetic variability for heat tolerance and genetic selection for more heat tolerant individuals is possible. The rate of genetic progress tends to be greater when genomic information is incorporated into the analyses as more accurate breeding values can be obtained for young individuals. Therefore, this study aimed (1) to evaluate the predictive ability of genomic breeding values for heat tolerance based on routinely recorded traits, and (2) to investigate the genetic background of heat tolerance based on single‐step genome‐wide association studies for economically important traits related to body composition, growth and reproduction in Large White pigs. Pedigree information was available for 265,943 animals and genotypes for 8686 animals. The studied traits included ultrasound backfat thickness (BFT), ultrasound muscle depth (MDP), piglet weaning weight (WW), off‐test weight (OTW), interval between farrowing (IBF), total number of piglets born (TNB), number of piglets born alive (NBA), number of piglets born dead (NBD), number of piglets weaned (WN) and weaning‐to‐estrus interval (IWE). The number of phenotypic records ranged from 6059 (WN) to 172,984 (TNB). Single‐step genomic reaction norm predictions were used to calculate the genomic estimated breeding values for each individual. Predictions of breeding values for the validation population individuals were compared between datasets containing phenotypic records measured in the whole range of temperatures (WR) and datasets containing only phenotypic records measured when the weather station temperature was above 10°C (10C) or 15°C (15C), to evaluate the usefulness of these datasets that may better reflect the within‐barn temperature. The use of homogeneous or heterogeneous residual variance was found to be trait‐dependent, where homogeneous variance presented the best fit for MDP, BFT, OTW, TNB, NBA, WN and IBF, while the other traits (WW and IWE) had better fit with heterogeneous variance. The average prediction accuracy, dispersion and bias values considering all traits for WR were 0.36 ± 0.05, −0.07 ± 0.13 and 0.76 ± 0.10, respectively; for 10C were 0.39 ± 0.02, −0.05 ± 0.07 and 0.81 ± 0.05, respectively; and for 15C were 0.32 ± 0.05, −0.05 ± 0.11 and 0.84 ± 0.10, respectively. Based on the studied traits, using phenotypic records collected when the outside temperature (from public weather stations) was above 10°C provided better predictions for most of the traits. Forty‐three and 62 candidate genomic regions were associated with the intercept (overall performance level) and slope term (specific biological mechanisms related to environmental sensitivity), respectively. Our results contribute to improve genomic predictions using existing datasets and better understand the genetic background of heat tolerance in pigs. Furthermore, the genomic regions and candidate genes identified will contribute to future genomic studies and breeding applications. [ABSTRACT FROM AUTHOR]

Breeding programs have substantially improved productive and reproductive efficiency in worldwide swine populations. However, increased performance is often accompanied by reduced climatic resilience due to greater metabolic heat production. Genomic selection is an effective tool for alleviating the negative effects of heat stress, but it requires traits that effectively capture the physiological, behavioral, and morphological mechanisms regulating the heat stress response. In this presentation we will first describe the genetic background of heat tolerance based on routinely recorded phenotypes and climatic variables obtained from public-weather-station databases. There are clear genotype-by-environment interactions across environmental conditions and the definition of the critical periods for quantifying the environmental gradient directly impacts the accuracy of genomic prediction of breeding values for heat tolerance. Secondly, we will describe the genetic background of various behavioral, physiological, and morphological indicators of heat stress in maternal line pigs, including automatically recorded vaginal temperature, skin temperature measured in different body locations and times of the day, respiration rate, panting score, body condition score, hair cortisol, hair density, and ear area. We will also present recently developed indicators of climatic resilience based on variability metrics of longitudinal measurements of automatically recorded body temperature in lactating sows. These traits are heritable and can be successfully included in genomic breeding programs. Furthermore, we will discuss the transgenerational effects of heat stress in maternal-line pigs from quantitative and molecular perspectives, including an epigenomic analyses of in utero heat stress that identified over 200 genomic regions that are differentially methylated in in utero heat stressed pigs and provide results from a comprehensive biological validation study based on in-depth phenotyping of genetically divergent animals. We will also discuss key challenges and opportunities for breeding for improved climatic resilience in pigs. In summary, we will: 1) provide a comprehensive description of the environmental-gradient variables and critical periods fitted in genomic evaluations of heat tolerance; 2) describe the genetic background of various indicators of heat tolerance and climatic resilience; 3) present the accuracies of genomic predictions for each indicator trait; 5) describe key results from biological validation studies; and, 6) make recommendations for the implementation of genomic selection for improved heat tolerance in pigs [ABSTRACT FROM AUTHOR]

Gestating sows are particularly sensitive to heat stress due to their large mass and greater metabolic heat production associated with increased reproductive organ and fetal development. Unfortunately, the heat stress sensitivity of gestating sows has increased over the past decades due to genetic and genomic advances that have improved litter sizes and reproductive efficiency. When combined with the greater frequency and severity of heat waves and high temperatures, it is likely that reproductive issues associated with heat stress exposure will continue to be a concern for the swine industry. It is well understood that high temperatures pose a challenge to gestating sows and their developing offspring. Research from 50 to 60 yr ago demonstrated that heat exposure results in a decrease in viable embryos and an increase in embryonic mortality, particularly when gestating sows are subjected to heat stress in the first trimester. Additionally, late gestation heat stress exposure can increase the rate of stillborn piglets and reduce the total number of liveborn piglets. Although the reasons for these losses are multifactorial, the direct influence of maternal body temperature and total stress load on the intrauterine environment can play a significant role during these critical stages. For offspring that survive to birth, prospects for a healthy, productive, and stress-free life are at risk due to the long-lasting effects of in utero heat stress, which include greater postnatal stress sensitivity and decreased productivity. Therefore, understanding and mitigating gestational heat stress in pigs is of great importance to ensure the sustainability and profitability of swine production. [ABSTRACT FROM AUTHOR]

Heat stress is a critical challenge to swine productivity and welfare that causes economic losses and endangers food security. As temperatures continue to increase in most pig producing regions, the effects of heat stress on pig production will become more apparent. The detrimental effects of postnatal heat stress on pig performance and welfare are well-defined. Furthermore, data on the effects of in utero heat stress in pigs describes lifelong production and welfare deficits that may be transgenerational. Despite its economic implications and transgenerational effects, heat stress mitigation strategies remain underexplored. Genomic selection offers a promising avenue for addressing swine heat stress, targeting resilient swine phenotypes to minimize adverse outcomes. However, challenges persist in integrating thermotolerance traits with traditional performance metrics, as improved thermotolerance is often unfavorably correlated with production traits. Therefore, effective selection strategies require balancing productive efficiency with climatic resilience and animal welfare breeding goals. As climate change continues to intensify the frequency and severity of heat stress, innovative approaches that prioritize resilience and adaptability are needed to safeguard swine productivity and welfare. [ABSTRACT FROM AUTHOR]

In utero heat stress (IUHS) has long-term negative-effects on pigs during postnatal life. Specifically, IUHS pigs display greater stress responses following weaning and transport and have reduced growth performance among other issues. Although efforts have been made to mitigate IUHS through management and nutrition, the use of genomic selection to improve heat stress tolerance (TOL) in gestating sows and reduce the impacts of IUHS on developing offspring has not been extensively studied. Therefore, the study objective was to determine whether genomic selection for TOL or heat stress sensitivity (SEN) in F1 gilts would impact the postnatal growth performance of IUHS piglets following weaning and transport. We hypothesized that IUHS piglets derived from TOL gilts would have improved growth performance relative to IUHS piglets derived from SEN gilts, but that overall, IUHS piglets would have reduced growth performance when compared with IUTN piglets following weaning and transport. Twenty-eight TOL (n = 15) and SEN (n = 13) pregnant gilts were exposed to either thermoneutral (TN; 17 to 20ºC; n = 7 TOL and 6 SEN) or heat stress (HS; cycling 26 to 36ºC; n = 8 TOL and 7 SEN) conditions from d 6 to 70 of gestation, and then all gilts were exposed to TN conditions until farrowing. At weaning, mixed sex piglets were selected from each litter resulting in the following treatment combinations: TOL+ in utero thermoneutral (IUTN; n = 60), TOL+IUHS (n = 60), SEN+IUTN (n = 59), and SEN+IUHS (n = 58). Piglets were then transported for 12 h to simulate commercial conditions and then group housed in 40 nursery pens (n = 6 pigs/pen) for 5 wk. All pigs were fed a standard nursery diet containing primarily corn and soybean meal and feed and water were provided ad libitum. Body weights (BW) and feed disappearance were measured on d 1, 7, 14, 21, 28, and 35 post-weaning and transport and used to calculate average daily gain (ADG), average daily feed intake (ADFI), and Gain:Feed. Data were analyzed in R using a generalized linear mixed model with pen as the experimental unit for ADFI and Gain:Feed, and individual piglet was the experimental unit for BW and ADG. Overall, IUHS piglets had a reduction (P < 0.01) in ADG (6.3%), Gain:Feed (4.4%), and final BW (2.5%) when compared with IUTN piglets. Additionally, TOL piglets had an overall improvement (P < 0.01) in ADG (6.0%), ADFI (13.6%), and final BW (3.9%), but a decrease in Gain:Feed (5.8%) when compared with SEN piglets. No genomic by in utero treatment effects were observed with any comparison. In conclusion, IUHS had a negative impact and selection for TOL had a generally positive impact on postnatal growth performance, but genomic selection for TOL or SEN did not interact with IUHS or IUTN in the F1 generation. [ABSTRACT FROM AUTHOR]

The maternal response to heat stress (HS) has detrimental effects on swine offspring in the form of in utero heat stress (IUHS). Long-term effects of IUHS include reduced postnatal growth performance and lean muscle deposition. As such, developing mitigation strategies that reduce IUHS is essential to maximize economic return. Therefore, the study objective was to investigate whether genomic selection for HS tolerance (TOL) or HS sensitivity (SEN) would impact the postnatal growth of IUHS and in utero thermoneutral (IUTN) pigs from birth to market. We hypothesized that the IUHS pigs born to TOL dams would have improved growth relative to IUHS pigs born to SEN dams, but overall, IUHS pigs would have reduced growth compared with IUTN pigs. Pregnant gilts (n = 15 TOL and 13 SEN) were exposed to thermoneutral (TN; 17-20ºC; n = 7 TOL and 6 SEN) or heat stress (HS; cycling 26 to 36ºC; n = 8 TOL and 7 SEN) conditions from d 6 to 70 of gestation, and then all gilts were exposed to TN conditions until farrowing. Thirtysix offspring (barrows) were selected to represent each possible treatment combination: TOL+IUTN (n = 9), TOL+IUHS (n = 9), SEN+IUTN (n = 9), and SEN+IUHS (n = 9). Barrows were group-housed and fed a corn-soybean based diet that was provided with water ad libitum. Body weight (BW) of all barrows was measured at d 1, 21, 28, 35, 42, 49, 56, 84, 105, 126, 147, 168, and 189 of life to evaluate growth from birth (d 1) to market (d 189). Data were analyzed using the PROC GLIMMIX procedure of SAS with pig as the experimental unit and random effects being pen and litter. Body weights for each treatment group were fitted to a generalized Michaelis-Menten (GMM) function using the Nonlinear MIXED procedure of SAS with pig specific random effects for mature BW. On d 1, 126, and 168, IUHS pigs tended to have reduced BW (P < 0.10; 1.19 ± 0.07, 58.37 ± 4.94, 91.18 ± 7.26 kg, respectively) when compared with IUTN pigs (1.32 ± 0.07, 68.95 ± 4.94, 106.25 ± 7.26 kg, respectively). Overall, final BW was reduced (P = 0.04) for IUHS (111.08 ± 7.91 kg versus IUTN (128.79 ± 7.91 kg) pigs, and estimated days to a market weight of 125 kg tended to be greater (P = 0.06) for IUHS (219.8 ± 10.8 d) versus IUTN (188.1 ± 10.21 d) barrows. The GMM model predicted that IUHS+TOL and IUTN+TOL barrows had different shaped BW growth curves with decreased age to achieve one-half of their predicted mature BW than IUHS+SEN and IUTN+SEN barrows. In conclusion, IUHS resulted in reduced growth rates overall; however, TOL improved some aspects of growth [ABSTRACT FROM AUTHOR]

This article is an editorial that discusses the circulation of heavy ions and their role in regulating the dynamics of near-Earth plasma. The research in this field has gained attention in recent years, with studies focusing on the composition of ions, their sources and sinks, and how they affect magnetospheric processes. The editorial synthesizes insights from five recent papers, which cover topics such as ion upflow during aurora events, atmospheric loss cone for energetic particles, magnetospheric mass density, nitrogen ion observations, and the dynamics of ion fluxes in turbulent magnetotail dipolarizations. These studies highlight the complexity and significance of heavy ions in understanding Earth's space environment and have implications in solar, ionospheric, and magnetospheric physics. [Extracted from the article]

Background: With an overarching goal of increasing diversity and inclusion in biomedical sciences, the National Research Mentoring Network (NRMN) developed a web-based national mentoring platform (MyNRMN) that seeks to connect mentors and mentees to support the persistence of underrepresented minorities in the biomedical sciences. As of May 15, 2024, the MyNRMN platform, which provides mentoring, networking, and professional development tools, has facilitated more than 12,100 unique mentoring connections between faculty, students, and researchers in the biomedical domain., Objective: This study aimed to examine the large-scale mentoring connections facilitated by our web-based platform between students (mentees) and faculty (mentors) across institutional and geographic boundaries. Using an innovative graph database, we analyzed diverse mentoring connections between mentors and mentees across demographic characteristics in the biomedical sciences., Methods: Through the MyNRMN platform, we observed profile data and analyzed mentoring connections made between students and faculty across institutional boundaries by race, ethnicity, gender, institution type, and educational attainment between July 1, 2016, and May 31, 2021., Results: In total, there were 15,024 connections with 2222 mentees and 1652 mentors across 1625 institutions contributing data. Female mentees participated in the highest number of connections (3996/6108, 65%), whereas female mentors participated in 58% (5206/8916) of the connections. Black mentees made up 38% (2297/6108) of the connections, whereas White mentors participated in 56% (5036/8916) of the connections. Mentees were predominately from institutions classified as Research 1 (R1; doctoral universities-very high research activity) and historically Black colleges and universities (556/2222, 25% and 307/2222, 14%, respectively), whereas 31% (504/1652) of mentors were from R1 institutions., Conclusions: To date, the utility of mentoring connections across institutions throughout the United States and how mentors and mentees are connected is unknown. This study examined these connections and the diversity of these connections using an extensive web-based mentoring network., (©Toufeeq Ahmed Syed, Erika L Thompson, Zainab Latif, Jay Johnson, Damaris Javier, Katie Stinson, Gabrielle Saleh, Jamboor K Vishwanatha. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.06.2024.)

Many age-progressive diseases are accompanied by (and likely caused by) the presence of protein aggregation in affected tissues. Protein aggregates are conjoined by complex protein-protein interactions, which remain poorly understood. Knowledge of the proteins that comprise aggregates, and their adherent interfaces, can be useful to identify therapeutic targets to treat or prevent pathology, and to discover small molecules for disease interventions. We present web-based software to evaluate and rank influential proteins and protein-protein interactions based on graph modelling of the cross linked aggregate interactome. We have used two network-graph-based techniques: Leave-One-Vertex-Out (LOVO) and Leave-One-Edge-Out (LOEO), each followed by dimension reduction and calculation of influential vertices and edges using Principal Components Analysis (PCA) implemented as an R program. This method enables researchers to quickly and accurately determine influential proteins and protein-protein interactions present in their aggregate interactome data., (© 2024 Biomedical Informatics.)

QuizTime is an innovative, asynchronous, spaced learning platform that provides just-in-time learning to increase knowledge and retention. QuizTime was created in 2015, and since then, its effectiveness has been tested and studied across multiple healthcare learning interventions. This paper describes the importance of spaced learning in knowledge acquisition and retention, and the motivation behind the creation of the innovative QuizTime platform. We demonstrate the usefulness of this platform, as shown by multiple case studies using QuizTime, to increase and engage medical students, residents, physicians and health care providers with new quizzes and interventions., (©2023 AMIA - All rights reserved.)

Continuous methionine restriction (MR) is one of only a few dietary interventions known to dramatically extend mammalian healthspan. For example, continuously methionine-restricted rodents show less age-related pathology and are up to 45% longer-lived than controls. Intriguingly, MR is feasible for humans, andanumberofstudieshavesuggestedthatmethionine-restrictedindividualsmayreceivesimilarhealthspan benefits as rodents. However, long-term adherence to a continuously methionine-restricted diet is likely to be challenging (or even undesirable) for many individuals. To address this, we previously developed an intermittent version of MR (IMR) and demonstrated that it confers nearly identical metabolic health benefits to mice as the continuous intervention, despite having a relatively short interventional period (i.e., only three days per week). We also observed that female mice undergoing IMR show a more pronounced amelioration of diet-induced dysglycemia than continuously methionine-restricted counterparts, while male mice undergoing IMR retain more lean body mass as compared with continuously methionine-restricted controls. Prompted by such findings, we sought to determine other ways in which IMR might compare favorably with continuous MR. While it is known that continuous MR has deleterious effects on bone in mice, including loss of both trabecular and cortical bone, we considered that mice undergoing IMR might retain more bone mass. Here, we report that, as compared with continuous MR, IMR results in a preservation of both trabecular and cortical bone, as well as a dramatic reduction in the accumulation of marrow fat. Consistent with such findings, mechanical testing revealed that the bones of intermittently methionine-restricted mice are significantly stronger than those of mice subjected to the continuous intervention. Finally, static histomorphometric analyses suggest that IMR likely results in more bone mass than that produced by continuous MR, primarily by increasing the number of osteoblasts. Together, our results demonstrate that the more practicable intermittent form of MR not only confers similar metabolic health benefits to the continuous intervention but does so without markedly deleterious effects on either the amount or strength of bone. These data provide further support for the use of IMR in humans., Competing Interests: Declaration of Interests The authors declare no competing conflicts of interest.

The 17 th Workshop on Recent Issues in Bioanalysis (17 th WRIB) took place in Orlando, FL, USA on June 19-23, 2023. Over 1000 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 17 th WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.Moreover, in-depth workshops on "EU IVDR 2017/746 Implementation and impact for the Global Biomarker Community: How to Comply with this NEW Regulation" and on "US FDA/OSIS Remote Regulatory Assessments (RRAs)" were the special features of the 17 th edition.As in previous years, WRIB continued to gather a wide diversity of international, industry opinion leaders and regulatory authority experts working on both small and large molecules as well as gene, cell therapies and vaccines to facilitate sharing and discussions focused on improving quality, increasing regulatory compliance, and achieving scientific excellence on bioanalytical issues.This 2023 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2023 edition of this comprehensive White Paper has been divided into three parts for editorial reasons.This publication covers the recommendations on Mass Spectrometry Assays, Regulated Bioanalysis/BMV (Part 1A) and Regulatory Inputs (Part 1B). Part 2 (Biomarkers, IVD/CDx, LBA and Cell-Based Assays) and Part 3 (Gene Therapy, Cell therapy, Vaccines and Biotherapeutics Immunogenicity) are published in volume 16 of Bioanalysis, issues 7 and 8 (2024), respectively.