cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Application of Regression Analysis in Advanced Research: A Case Study on Predicting Salary Based on Age
Creators: name: Ho, Mony
Publisher: name: Zenodo
Year: 2023
Subjects: Regression Analysis
Employee Age
Employee Salary
Linear Regression
Hypothesis Testing

description: Regression analysis is a powerful statistical method used to explore relationships between variables and predict outcomes based on these relationships. This study focuses on examining the effect of employee age on their salary using linear regression analysis. The analysis was performed on a dataset consisting of 20 employees, where employee age served as the independent variable and employee salary as the dependent variable. The results indicated a statistically significant positive relationship between employee age and salary, with a regression equation of Y = 498.784 + 50.116X + e, where Y represents salary and X represents age. The coefficient of determination (R²) was found to be 0.496, suggesting that 49.6% of the variation in salary can be explained by age. While age plays a crucial role in salary determination, the study also highlighted the importance of incorporating other factors such as experience, job function or education level for more accurate predictions. This research demonstrates the practical application of regression analysis in human resources and salary prediction, providing valuable insights for organizations looking to optimize compensation strategies.
sj-pdf-1-tam-10.1177_1758835920971416 – Supplemental material for A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study
Creators: name: Zhang, Fan
name: Zhong, Lian-Zhen
name: Zhao, Xun
name: Dong, Di
name: Yao, Ji-Jin
name: Wang, Si-Yang
name: Liu, Ye
name: Zhu, Ding
name: Wang, Yin
name: Wang, Guo-Jie
name: Wang, Yi-Ming
name: Li, Dan
name: Wei, Jiang
name: Tian, Jie
name: Shan, Hong
Publisher: name: SAGE Journals
Year: 2020
Subjects: Oncology and Carcinogenesis not elsewhere classified
Aged Health Care
Pharmacology and Pharmaceutical Sciences not elsewhere classified
Respiratory Diseases

description: Supplemental material, sj-pdf-1-tam-10.1177_1758835920971416 for A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma: a multi-cohort study by Fan Zhang, Lian-Zhen Zhong, Xun Zhao, Di Dong, Ji-Jin Yao, Si-Yang Wang, Ye Liu, Ding Zhu, Yin Wang, Guo-Jie Wang, Yi-Ming Wang, Dan Li, Jiang Wei, Jie Tian and Hong Shan in Therapeutic Advances in Medical Oncology
Takeover performance prediction model considering cognitive load: analysis of subjective and objective factors
Creators: name: Ge, Huimin
name: Wu, Peitong
name: Dong, Lei
name: OuYang, Ning
name: Chen, Jie
name: Chen, Jiajia
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Physiology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy

description: This paper aims to explore the effects of different cognitive loads on driver eye movement and ECG, and construct the BP (Back Propagation) neural network prediction model of driver takeover performance optimized by genetic algorithm (GA). In this paper, the simulation software UC-win/road was used to construct the highway driving scene, and the N-back tasks of different difficulty were selected to set different levels of cognitive load for testing. Using the driver eye movement data and ECG data collected during the test, combined with the NASA-TLX load scale collected after the driving simulation test, the subjective and objective data were analyzed. We determined the cognitive load level of drivers under different cognitive tasks based on the K-means clustering algorithm. We selected the significant objective indicators that affect the cognitive load of drivers, constructed a takeover performance prediction model based on BP neural network, and verified the effectiveness. Compared with the BP prediction model, the GA-BP prediction model established in this paper has different degrees of improvement in each evaluation index under different time window lengths. Among them, the improvement effect is the most obvious under the length of 10s time window, the accuracy rate is increased by 5.51%, the recall rate is increased by 7.08%, the accuracy rate is increased by 6.19%, and the F1 score is increased by 9.71%. The findings indicate that as the difficulty of the cognitive sub-task escalates, the driver’s tension increases and the cognitive load increases. The GA-BP prediction model established in this paper has higher prediction accuracy.
Analysis method for factors influencing pelvis rotation of Hybrid III and THOR dummies during frontal impact
Creators: name: Azuma, Toshiharu
name: Zhao, Yuqing
name: Mizuno, Koji
name: Nagasaka, Kei
name: Suzuki, Takahiro
name: Masuda, Idemitsu
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Biophysics
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Developmental Biology
subject: Cancer
subject: Mental Health

description: In vehicle frontal impacts, pelvis rotation is a crucial factor in submarining, where the lap belt slips off the pelvis and intrudes into the abdomen. Submarining can occur even when the lap belt engages the pelvis due to pelvis rotation. This study aims to establish an analytical method to evaluate the forces and moments acting on the pelvis of dummies during frontal impacts and to identify factors influencing pelvis rotation. Finite element simulations were conducted using dummies (Hybrid III 50 M, 5 F, and THOR 50 M, 5 F) restrained with a 3-point standard seat belt in the rear seat during a frontal impact at 50 km/h. The pelvis of the dummy was divided into anatomical regions. Based on Euler’s equation, moments around the pelvis’s center of gravity (COG) were calculated based on contact forces in each pelvis region and joint force (lumbar spine and hip joint). The angular acceleration and moment of the pelvis were consistent with Euler’s equations, confirming the accuracy of this moment calculation method. Factors promoting rearward pelvis rotation included femur force, lap belt force, and lumbar spine force, while factors reducing pelvis rearward rotation included lumbar spine bending moment and seat cushion force. These factors varied among dummies due to differences in pelvis shape and lumbar spine stiffness. The rearward rotation of the pelvis in the Hybrid III was small because the lap belt path was close to the pelvis COG; in the THOR, however, rearward rotation was greater because the lap belt path was further from the pelvis COG, and the ischium force reducing the rearward rotation was smaller. This study proposes an analytical approach to understanding pelvis rotation in dummies. This method allows for evaluating various factors influencing pelvis rotation over time, including dummy design and restraint systems, to prevent pelvis rearward rotation and submarining.
sj-pdf-1-tam-10.1177_1758835920977155 – Supplemental material for Failure patterns and outcomes of dose escalation of stereotactic body radiotherapy for locally advanced pancreatic cancer: a multicenter cohort study
Creators: name: Zhu, Xiaofei
name: Cao, Yangsen
name: Su, Tingshi
name: Zhu, Xixu
name: Ju, Xiaoping
name: Zhao, Xianzhi
name: Jiang, Lingong
name: Ye, Yusheng
name: Cao, Fei
name: Qing, Shuiwang
name: Zhang, Huojun
Publisher: name: SAGE Journals
Year: 2020
Subjects: Oncology and Carcinogenesis not elsewhere classified
Aged Health Care
Pharmacology and Pharmaceutical Sciences not elsewhere classified
Respiratory Diseases

description: Supplemental material, sj-pdf-1-tam-10.1177_1758835920977155 for Failure patterns and outcomes of dose escalation of stereotactic body radiotherapy for locally advanced pancreatic cancer: a multicenter cohort study by Xiaofei Zhu, Yangsen Cao, Tingshi Su, Xixu Zhu, Xiaoping Ju, Xianzhi Zhao, Lingong Jiang, Yusheng Ye, Fei Cao, Shuiwang Qing and Huojun Zhang in Therapeutic Advances in Medical Oncology
Salivary Antibody Responses to Potentially Waterborne and Environmentally Transmitted Infections Among Two Tribal Nations in the Southwest United States
Creators: name: Kowalcyk, Megan
name: Cochran, Wesley
name: Styles, Jennifer
name: Griffin, Shannon M.
name: Mistry, Jatin H.
name: Wade, Timothy J.
name: Kobylanski, Jason
name: Sams, Elizabeth
name: Hudgens, Edward
name: Augustine, Swinburne A. J.
name: Ward, Honorine
name: Egorov, Andrey
Publisher: name: Springer Nature
Year: 2024

description:
Purpose Tribal Nations disproportionately lack access to safe drinking water and can be adversely affected by other water quality and environmental concerns. Such conditions could lead to an increase in the transmission of waterborne, environmental and hygiene related infections. We collected saliva samples from attendees at two Tribal Nation annual festivals and tested them for salivary immunoglobulin G (IgG) responses to selected common infections using an in-house multiplex immunoassay. Antibody responses were compared to responses from a previously conducted study in the midwestern United States.


Methods We collected and tested 531 samples from Tribal Nation sites and used data on 453 previously analyzed samples from the Midwest site. Logistic and linear regression models were used to model a binary classification of seropositivity and the intensity of the antibody response, respectively.


Results Seroprevalence of chronic infections (Helicobacter pylori and Toxoplasma gondii) were generally consistent with estimates from population-based studies. Compared to the Midwest site, one of the Tribal Nation sites had consistently higher median antibody responses to several noroviruses. The Tribal Nation sites had a lower seroprevalence of hepatitis E virus antibodies. At the Tribal Nation sites, farm residents had higher antibody responses to Cryptosporidium spp., bottled water consumption was associated with lower responses to Cryptosporidium spp., animal contact was associated with T. gondii seropositivity, and recent diarrhea was associated with higher norovirus antibody responses. Helicobacter pylori seropositivity was associated with reduced odds of reporting allergies.


Conclusion This study demonstrated the application of a multiplex salivary immunoassay in Tribal Nations to provide insights regarding selected common pathogens which are transmitted through different transmission pathways including person-to-person contacts, contaminated food, soil and drinking water.
Additional file 1 of Determinants and consequences of employer-provided training program resilience post-Covid-19
Creators: name: Caves, Katherine M.
name: McDonald, Patrick
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 1
Investigating temporal trends in risk factors related to injury severity of crashes with pedestrians in urban areas
Creators: name: Silva, Mateus Nogueira
name: Gomes, Marcos José Timbó Lima
name: Cunto, Flávio José Craveiro
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Science Policy

description: The implementation of road safety policy in urban areas can potentially change the severity profile of crashes, as well as how risk factors influence crash severity. In this sense, this study aims to empirically evaluate possible changes in the severity profile of crashes with pedestrians and in the influence of risk factors for pedestrian injuries after the efforts of the Decade of Action for Road Safety in the city of Fortaleza, Brazil. This was done using data from crashes with pedestrians between 2009 and 2019; divided into three periods. Two categorical modeling analyses were performed using the mixed logit modeling approach, including sociodemographic, environmental, vehicle, road type, and traffic control device factors. In the first analysis, a single model was estimated, and time (period) was included as an explanatory variable; in the second one, models were estimated for each period. According to temporal analysis, a reduction was evident in the severity profile of crashes with pedestrians over the decade of action. In general, the safety interventions seemed to have little or no impact on pedestrian gender, young pedestrians (up to 15 years old), crashes at night, crashes during weekends and crossings near traffic lights. Regarding crashes on arterial roads, the results suggest an increase in the marginal effects for fatal crashes after the decade of action, while other variables, such as heavy vehicles and expressways, showed positive marginal effects in all periods, indicating that the direction of their effect did not change. This is a potential indication that the overall safety impact of policies during the decade were not effective for these types of crashes. It was possible to identify considerable reduction in the marginal effects for older pedestrians (60+) for both severe and fatal crashes. Although it is not possible to claim that this change comes from specific actions or controlled factors, the results presented here indicate an improvement in road safety for these users, in line with the goals of the Safe Systems Approach and the Decade of Action for Road Safety to reduce severe and fatal traffic injuries.
Corporate Privacy Policy Changes during PRISM and the Rise of Surveillance Capitalism
Creators: name: Kumar, Priya
Publisher: name: Digital Repository at the University of Maryland
Year: 2017
Subjects: Internet companies
PRISM
privacy policies
surveillance capitalism
targeted advertising
transparent citizen

description: Disclosure of the NSA’s PRISM program demonstrated that Internet companies have become prime targets of government surveillance. But what role do companies themselves play in putting users’ privacy at risk? By comparing the changes in the privacy policies of ten companies—the nine in PRISM plus Twitter—I seek to understand how users’ privacy shifted. Specifically, I study how company practices surrounding the life cycle of user information (e.g. collection, use, sharing, and retention) shifted between the times when companies joined PRISM and when PRISM news broke. A qualitative analysis of the changes in the privacy policies suggests that company disclosure of tracking for advertising purposes increased. I draw on business scholar Shoshana Zuboff’s conceptualization of “surveillance capitalism” and legal scholar Joel Reidenberg’s “transparent citizen” to explain the implications such changes hold for users’ privacy. These findings underscore why public debates about post-Snowden privacy rights cannot ignore the role that companies play in legitimizing surveillance activities under the auspices of creating market value.
Biased Allosteric Modulator of Neurotensin Receptor 1 Reduces Ethanol Drinking and Responses to Ethanol Administration in Rodents
Creators: name: Alvarez-Pamir, Ali
name: Companion, Michel A.
name: Murray, Jackson G.
name: Besheer, Joyce
name: Wykoff, Luke A.
name: Gereau, Graydon B.
name: Jackson, Michael R.
name: Zhou, Diana
name: McElligott, Zoe A.
name: Olson, Steven H.
name: Vetreno, Ryan P.
name: Barak, Lawrence S.
name: Tyler, Ryan E.
name: Slosky, Lauren M.
name: Campbell, Jeffrey
name: Van Voorhies, Kalynn
Publisher: name: Elsevier
Year: 2024

description:
Alcohol use disorders (AUDs) impose an enormous societal and financial burden, and world-wide, alcohol misuse is the 7th leading cause of premature death[1]. Despite this, there are currently only 3 FDA approved pharmacological approaches for the treatment of AUDs in the United States. The neurotensin (Nts) system has long been implicated in modulating behaviors associated with alcohol misuse. Recently, a novel compound, SBI-553, that biases the action of Nts receptor 1 (NTSR1) activation, has shown promise in preclinical models of psychostimulant use. Here we investigate the efficacy of this compound to alter ethanol-mediated behaviors in a comprehensive battery of experiments assessing ethanol consumption, behavioral responses to ethanol, physiological sensitivity to ethanol, and ethanol metabolism. Additionally, we investigated behavior in avoidance and cognitive assays to monitor potential side effects of SBI-553. We find that SBI-553 reduces ethanol consumption in mice without altering avoidance behavior or novel object recognition. We also observe sex-dependent differences in physiological responses to sequential ethanol injections in mice. In rats, we show that SBI-553 attenuates sensitivity to the interoceptive effects of ethanol (using a Pavlovian drug discrimination task). Our data suggest that targeting NTSR1 signaling may be promising to attenuate alcohol misuse, and adds to a body of literature that suggests NTSR1 may be a common downstream target involved in the psychoactive effects of multiple reinforcing substances.
FIGURE S1. - Supplemental material for Longitudinal Implications of Social Integration for Age and Gender Differences in Late-Life Physical Functioning
Creators: name: Toyama, Masahiro
name: Fuller, Heather R.
name: Jonix Owino
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine

description: Supplemental material, FIGURE S1., for Longitudinal Implications of Social Integration for Age and Gender Differences in Late-Life Physical Functioning by Masahiro Toyama, Heather R. Fuller and Jonix Owino in The International Journal of Aging and Human Development
Toward systematic finite element reconstructions of accidents involving vulnerable road users
Creators: name: Lindgren, Natalia
name: Huang, Qi
name: Yuan, Qiantailang
name: Lin, Miao
name: Wang, Peng
name: Pipkorn, Bengt
name: Kleiven, Svein
name: Li, Xiaogai
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Biochemistry
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mental Health

description: To combat the global fatality rates among vulnerable road users (VRUs), prioritizing research on head injury mechanisms and human tolerance levels in vehicle-to-VRU traffic collisions is imperative. A foundational step for VRU injury prevention is often to create virtual reconstructions of real-world collisions. Thus, efficient and trustworthy reconstruction tools are needed to make use of recent advances in accident data collection routines and Finite Element (FE) human body modeling. In this study, a comprehensive and streamlined reconstruction methodology, starting from a video-recorded accident, has been developed. The workflow, that includes state-of-the-art tools for personalization of human body models (HBMs) and vehicles, was evaluated and demonstrated through 20 real-world VRU collision cases. The FE models successfully replicated the vehicle damage that was observed in on-scene photographs of the post-impact vehicle, as well as impact kinematics captured in dash cam or surveillance recordings. The findings highlight how video evidence can considerably narrow down the number of plausible impact scenarios and raise the credibility of virtual reconstructions of real-world VRU collision events. More importantly, this study demonstrates how, with an efficient and systematic methodology, FE might be feasible also for large-scale VRU accident datasets.
Leveraging a comprehensive unbiased RNAseq database to characterize human monocyte-derived macrophage gene expression profiles within commonly employed in vitro polarization methods
Creators: name: Smyth, Timothy
name: Hickman, Elise
name: Rager, Julia E.
name: Payton, Alexis
name: Jaspers, Ilona
Publisher: name: Springer Nature
Year: 2024

description:
Macrophages are pivotal innate immune cells which exhibit high phenotypic plasticity and can exist in different polarization states dependent on exposure to external stimuli. Numerous methods have been employed to simulate macrophage polarization states to test their function in vitro. However, limited research has explored whether these polarization methods yield comparable populations beyond key gene, cytokine, and cell surface marker expression. Here, we employ an unbiased comprehensive analysis using data organized through the all RNA-seq and ChIP-seq sample and signature search (ARCHS4) database, which compiles all RNAseq data deposited into the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA). In silico analyses were carried out demonstrating that commonly employed macrophage polarization methods generate distinct gene expression profiles in macrophage subsets that remained poorly described until now. Our analyses confirm existing knowledge on broad macrophage polarization, while expanding nuanced differences between M2a and M2c subsets, suggesting non-interchangeable stimuli for M2a polarization. Furthermore, we characterize divergent gene expression patterns in M1 macrophages following standard polarization protocols, indicating significant subset distinctions. Consequently, equivalence cannot be assumed among polarization regimens for in vitro macrophage studies, particularly in simulating diverse pathogen responses.
Additional file 6 of KRAS is a molecular determinant of platinum responsiveness in glioblastoma
Creators: name: Zuchegna, Candida
name: Leone, Stefano
name: Romano, Antonella
name: Porcellini, Antonio
name: Messina, Samantha
Publisher: name: figshare
Year: 2024
Subjects: Biophysics
Biochemistry
Cell Biology
Molecular Biology
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Cancer
Hematology

description: Additional file 6.
The value of a statistical life in the context of road safety: a new value transfer approach
Creators: name: Wijnen, Wim
name: Dahdah, Said
name: Pkhikidze, Nino
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Plant Biology

description: The value of a statistical life (VSL) is a key input for cost-benefit analysis (CBA) in the context of road safety and for calculations of the socio-economic costs of road crashes. However, many countries, especially low- and middle-income countries (LMIC), lack country-specific VSL estimates. To address this, value transfer is often used, where VSL estimates from other countries are adapted to local situations to estimate the VSL in the countries with no VSL estimates. This paper presents new guidance for VSL value transfer in the context of road safety. A unit value transfer approach is applied, which implies that a base VSL is determined and used to estimate the VSL in other countries. We collected VSL estimates from 32 countries worldwide to determine base VSLs for both high-income countries (HIC) and LMIC. According to the literature, the VSL is strongly correlated with income per capita. Therefore, income elasticities from the literature are applied to account for the impact of per capita income on the VSL. The resulting VSL transfer functions are VSL = 0.404*(Y/5,726)1.2 for LMIC and VSL = 3.206*(Y/42,087)0.8 for HIC, where VSL is the VSL in million USD and Y is the Gross National Income per capita (USD, 2020 prices). The VSL ranges from approximately 22,000 USD to 1.1 million USD in LMIC and from 1.2 million USD to 4.8 million USD in HIC. We recommend applying this VSL transfer approach for cost-benefit analysis and road crash costing in countries lacking appropriate country-specific VSL. Moreover, this study highlights that, despite the growing interest in LMIC in research on VSL, the number of studies in these countries is still limited, emphasizing the need for more VSL studies. Finally, developing transfer functions for non-fatal injuries is recommended, which is an essential input for CBA as well.
Empirical Sandwich Variance Estimator for Iterated Conditional Expectation g‐Computation
Creators: name: Zivich, Paul N.
name: Shook‐Sa, Bonnie E.
name: Ross, Rachael K.
name: Cole, Stephen R.
name: Edwards, Jessie K.
Publisher: name: Wiley
Year: 2024

description:
Iterated conditional expectation (ICE) g-computation is an estimation approach for addressing time-varying confounding for both longitudinal and time-to-event data. Unlike other g-computation implementations, ICE avoids the need to specify models for each time-varying covariate. For variance estimation, previous work has suggested the bootstrap. However, bootstrapping can be computationally intense. Here, we present ICE g-computation as a set of stacked estimating equations. Therefore, the variance for the ICE g-computation estimator can be consistently estimated using the empirical sandwich variance estimator. Performance of the variance estimator was evaluated empirically with a simulation study. The proposed approach is also demonstrated with an illustrative example on the effect of cigarette smoking on the prevalence of hypertension. In the simulation study, the empirical sandwich variance estimator appropriately estimated the variance. When comparing runtimes between the sandwich variance estimator and the bootstrap for the applied example, the sandwich estimator was substantially faster, even when bootstraps were run in parallel. The empirical sandwich variance estimator is a viable option for variance estimation with ICE g-computation.
Giardia antagonizes beneficial functions of indigenous and therapeutic intestinal bacteria during protein deficiency.
Creators: name: Fodor, Anthony A
name: Carroll, Ian M
name: Xiao, Jamie
name: Ngobeni-Nyambi, Renay
name: Henrique Quintela, Pedro
name: Walsh, Kenneth
name: Awoniyi, Muyiwa
name: Bhatt, Aadra P
name: Coskuner, Deniz
name: Azcarate-Peril, M Andrea
name: Sun, Shan
name: Hansen, Brenna
name: Feijoli Santiago, Verônica
name: Gulati, Ajay S
name: Swann, Jonathan
name: Bartelt, Luther A
name: Arnold, Jason W
Publisher: name: Taylor & Francis
Year: 2024

description:
Undernutrition in children commonly disrupts the structure and function of the small intestinal microbial community, leading to enteropathies, compromised metabolic health, and impaired growth and development. The mechanisms by which diet and microbes mediate the balance between commensal and pathogenic intestinal flora remain elusive. In a murine model of undernutrition, we investigated the direct interactions Giardia lamblia, a prevalent small intestinal pathogen, on indigenous microbiota and specifically on Lactobacillus strains known for their mucosal and growth homeostatic properties. Our research reveals that Giardia colonization shifts the balance of lactic acid bacteria, causing a relative decrease in Lactobacillus spp. and an increase in Bifidobacterium spp. This alteration corresponds with a decrease in multiple indicators of mucosal and nutritional homeostasis. Additionally, protein-deficient conditions coupled with Giardia infection exacerbate the rise of primary bile acids and susceptibility to bile acid-induced intestinal barrier damage. In epithelial cell monolayers, Lactobacillus spp. mitigated bile acid-induced permeability, showing strain-dependent protective effects. In vivo, L. plantarum, either alone or within a Lactobacillus spp consortium, facilitated growth in protein-deficient mice, an effect attenuated by Giardia, despite not inhibiting Lactobacillus colonization. These results highlight Giardia's potential role as a disruptor of probiotic functional activity, underscoring the imperative for further research into the complex interactions between parasites and bacteria under conditions of nutritional deficiency.
Prediction of urban medical emergencies using machine learning models based on spatial and temporal variables
Creators: name: Rivera, Frans Guillermo Taboada
name: Salas, Miller
name: Romo-Bucheli, David
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: This study aims to develop and evaluate a prediction model for medical emergencies in an urban setting, specifically in the Bucaramanga metropolitan area located in Colombia. Accurate forecasting of emergencies could potentially enhance preparedness and optimize resource allocation of the medical emergency services, improving response times, preventing injuries in the population, and reducing mortality and morbidity rates. Automatic prediction of emergencies is carried out using a random forest model that uses sliding window techniques and integrates temporal variables to forecast emergency events. Feature vectors incorporate spatial locations (via geocoding), meteorological data, road conditions, demographic information, and road traffic statistics. The prediction task corresponds to the estimation of emergency occurrences by day and location. Two different data sets were constructed to train and evaluate the model: Emergency records from the Regulatory Center for Emergencies and Urgencies (RCEU) and traffic accident reports from Bucaramanga’s traffic department for the years 2017 to 2019. The model achieved a mean square error (MSE) of 0.005 and R2 of 0.351 using data from the RCEU. For traffic accident reports from Bucaramanga’s traffic department (2017–2019), the MSE was 0.018 and R2 was 0.150. Aggregated daily spatial predictions yielded R2 of 0.75 and MSE of 2.258 (RCEU) and R2 of 0.898 and MSE of 0.798 (traffic department). The sliding window methodology effectively captures periods with higher emergency occurrences, potentially contributing to potential injury prevention strategies. Although fine-grained prediction accuracy (specific time and location) is limited, the model performs well across an approximately 165 km2 urban area. Though the model’s fine-grained accuracy in predicting specific times and locations of emergencies is limited, the automated prediction model demonstrates a promising ability to identify periods with increased emergency occurrences when aggregating spatial information. Further use of fine-grained data and recent machine learning techniques may improve its precision, particularly at smaller spatial and temporal scales.
E01286: Barḥadbešabbā ‘Arbāyā, an East-Syrian author (late 6th/early 7th c.), in his Syriac Ecclesiastical History ascribes a particular importance to such ecclesiastical leaders of the past as *Athanasios (bishop of Alexandria, ob. 373, S00294), *Gregory the Miracle-Worker (bishop and missionary in Pontus, ob. c. 270, S00687), *Basil (bishop of Caesarea, ob. 379, S00780), *Flavianos (bishop of Antioch, ob. 404, S00781), *Diodoros (bishop of Tarsus, ob. c. 390, S00782), *John Chrysostom (bishop of Constantinople, ob. 407, S00784), *Theodoros (bishop of of Mopsuestia, ob. 428, S00783) and *Nestorios (bishop of Constantinople, ob. 450, S00778).
Creators: name: Sminov
Publisher: name: University of Oxford
Year: 2016
Subjects: History

description: In his work, Barḥadbešabbā offers a particular vision of church history, in which he ascribes special importance to such ecclesiastical leaders of the past as Athanasios of Alexandria (ch. 9), Gregory Thaumatourgos (ch. 12), Basil of Caesarea (ch. 15), Flavianos of Antioch (ch. 16), Diodoros of Tarsus (ch. 17), John Chrysostom (ch. 18), Theodoros of Mopsuestia (ch. 19) and Nestorios (ch. 20), dedicating to each of them an individual chapter, with details of their lives as well as of their writings. The author of the History presents them as defenders of the orthodox faith, while referring to them regularly as 'blessed' (ṭubānā) and 'holy' (qadišā) men. While that in itself is not enough to be regarded as a clear sign of the cult of these figures among East-Syrian Christians during the last decades of the 6th century, this evidence definitely bears witness to the high regard in which they were held in the circles related to the School of Nisibis during that period, which in its turn gave rise to the development of the cult of at least some of them later on.
Pulmonary-delivered Anticalin Jagged-1 antagonists reduce experimental airway mucus hyperproduction and obstruction
Creators: name: Wurzenberger, Cornelia
name: Fitzgerald, Mary F.
name: Wurzenberger, Claudia
name: Olwill, Shane A.
name: Aiba, Rachida-Siham Bel
name: Hansbauer, Eva-Maria
name: Snead, Jazmin Y.
name: Anderson, Gary P.
name: Kennedy, Joseph G. C.
name: Heinzelmann, Katharina
name: Hagner, Matthias
name: Livraghi-Butrico, Alessandra
name: Prassler, Josef
name: Peper-Gabriel, Janet K.
name: Heinig, Kristina
name: Rothe, Christine
name: Wrennall, Joe A.
name: Jaquin, Thomas J.
name: Fysikopoulos, Athanasios
name: Tarran, Robert
name: Grüner, Stefan
name: Matschiner, Gabriele
Publisher: name: American Physiological Society
Year: 2024

description:
Mucus hypersecretion and mucus obstruction are pathogenic features in many chronic lung diseases directly linked to disease severity, exacerbation, progression, and mortality. The Jagged-1/Notch pathway is a promising therapeutic target that regulates secretory and ciliated cell trans-differentiation in the lung. However, the Notch pathway is also required in various other organs. Hence, pulmonary delivery of therapeutic agents is a promising approach to target this pathway while minimizing systemic exposure. Using Anticalin® technology, Jagged-1 Anticalin binding proteins were generated and engineered to potent and selective inhalable Jagged-1 antagonists. Their therapeutic potential to reduce airway mucus hyperproduction and obstruction was investigated ex vivo and in vivo. In primary airway cell cultures grown at air-liquid interface and stimulated with inflammatory cytokines, Jagged-1 Anticalin binding proteins reduced both mucin gene expression and mucous cell metaplasia. In vivo, prophylactic and therapeutic treatment with a pulmonary-delivered Jagged-1 Anticalin binding protein reduced mucous cell metaplasia, epithelial thickening and airway mucus hyperproduction in IL-13 and house dust mite allergen-challenged mice, respectively. Further, in a transgenic mouse model with pathophysiologic features of cystic fibrosis and COPD, pulmonary-delivered Jagged-1 Anticalin binding protein reduced hallmarks of airway mucus obstruction. In all in vivo models a reduction of mucous cells with a concomitant increase of ciliated cells was observed. Collectively, these findings support Jagged-1 antagonists' therapeutic potential for patients with muco-obstructive lung diseases, and the feasibility of targeting the Jagged-1/Notch pathway by inhalation.
The relationship between emotional intelligence, visual cognitive performance, and driving behavior across different age groups
Creators: name: Ou, Yang-Kun
name: Tseng, Po-Ying
name: Chen, Wei-Ru
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health

description: In the process of driving, visual cognitive abilities and emotional intelligence (EI) play very important roles in the perception of, and the subsequent decision about hazards and sudden events in the surrounding environment. This study explored the differences in EI, visual cognitive performance, and driving behavior across various age groups. It examined the differences in the number of collisions and eye movements in regular and sudden traffic incidents and investigated the relationship between EI, visual cognitive performance, and driving behavior. A total of 52 participants were recruited and divided into three groups: a younger group, a middle-aged group, and an older group. All participants were required to respond to both regular and sudden events in simulated driving sessions, during which data on the number of collisions and eye movements were collected. In addition, assessments for risky driving and EI were also performed. The results indicated that young drivers exhibited considerably higher scores in the management of others’ emotions than those of middle-aged and older drivers, whereas older drivers demonstrated less frequent risky driving and distracted driving behavior. In terms of eye movement performance, young drivers rapidly noticed traffic incidents and exhibited a larger number of eye movements and longer fixation duration during regular traffic incidents compared with the other age groups. In addition, risky driving and the number of collisions in different traffic event types were strongly correlated with age, distracted driving, EI, and visual cognitive performance. This study contributes to understanding the effects of age, EI and visual cognitive performance on risky driving, as well as the relationship among risking driving and eye movements characteristics. This study can serve as a reference for developing preventive measures against risky driving behavior and traffic accidents, based on the differences in EI, visual cognitive performance, and eye movement characteristics.
title: Exploration of 3D pharmacophore kernels and multi-instance learning for bioactivity prediction
Creators: name: Ladmann, Lukka
Year: 2025

description: In dieser Arbeit werden 3D-Pharmakophor-basierte Strategien zur Bioaktivitätsvorhersage untersucht, indem Multi-Instanz-Lernen (MIL) mit einem Pharmakophor-Kernel (PK) kombiniert wird. Der PK vergleicht Mengen an Drei-Punkt-Pharmakophoren – basierend auf Label-Matching und distanzbasierter Ähnlichkeit – über mehrere Konformere eines Moleküls hinweg. Auf dem BACE-Datensatz übertrifft PK etablierte 2D-Deskriptoren (ECFP) sowie 3D-Deskriptoren (RDF, TGT), sofern ausreichend Konformere und Trainingsdaten vorliegen. Zudem zeigt die Evaluierung unter datenarmen Bedingungen eine überraschend robuste Leistung des TGT-Fingerprints. Unsere Ergebnisse unterstreichen den Wert einer expliziten Modellierung molekularer Flexibilität, wobei die Nutzung des Pharmacophorkernels jedoch einen hohen Rechenaufwand erfordert. Zukünftige Arbeiten sollten vielfältigere Datensätze berücksichtigen und die Auswahl der Konformeranzahl optimieren. Zudem sollte der PK auf umfassendere Subgraph Matching Kernel ausgeweitet werden, um das Training von Machine-Learning-Modellen zur Vorhersage von Bioaktivität mithilfe von 3D-Pharmakophoren weiter zu verbessern.
description: This thesis investigates 3D pharmacophore-based strategies for bioactivity prediction by combining multi-instance learning (MIL) with a Pharmacophore Kernel (PK). The PK compares sets of three-point pharmacophores - including both label matching and distance-based similarities - across multiple conformers of each molecule. In comparison with established 2D descriptors (ECFP: Extended Connectivity Fingerprints) and 3D descriptors (RDF: Radial Distribution Function, TGT: Typed Graph Triangles) on the BACE dataset, PK can outperform traditional methods when sufficient conformers and training data are available. Furthermore, we investigate the performance of our models under data-scarce conditions and report a surprisingly robust performance of the TGT fingerprint. Our results highlight the importance of explicitly modeling molecular flexibility, although the use of the pharmacophore kernel comes with significant computational costs. Future work should focus on more diverse datasets and thorough conformer count selection. It should also extend the PK to more general subgraph matching kernels, further improving the training of machine learning models for bioactivity prediction using 3D pharmacophores.
E01287: In his Syriac Ecclesiastical History, Barḥadbešabbā ‘Arbāyā, an East-Syrian author (late 6th/early 7th c.), presents *Nestorios (bishop of Constantinople, ob. 450, S00778) as a saint and martyr for the sake of Christ.
Creators: name: Sminov
Publisher: name: University of Oxford
Year: 2016
Subjects: History

description: Barḥadbešabbā ‘Arbāyā, Ecclesiastical History 20

ܡܛܠ ܕܝܢ ܕܬܫܥܝܬܐ ܕܥܫܘܩܝܗ ܕܗ̇ܘ ܕܒܝܬ ܩܕܝܫ̈ܐ ܣܗܕܗ ܕܡܫܝܚܐ ܛܘܒܢܐ ܢܣܛܘܪܝܤ ܐܦܣܩܘܦܐ ܕܩܘܣܛܢܛܝܢܐ ܐܛܡܛܝܢܢ ܕܢܟܬܘܒ ...

'Because we have arrived at writing the story of the calumniation of one of the saints, the martyr of Christ, the blessed Nestorios, the bishop of Constantinople ...'

Ed. Nau 1913, p. 517; trans. Sergey Minov.
Rapid viral suppression using integrase inhibitors during acute HIV-1 infection
Creators: name: Gay, Cynthia L
name: Ferrari, Guido
name: McGee, Kara S
name: Kuruc, Joann D
name: Eron, Joseph J
name: Filiatreau, Lindsey M
name: Keys, Jessica R
name: Margolis, David M
name: McKellar, Mehri S
name: Hicks, Charles B
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2024

description:
Antiretroviral therapy (ART) is recommended for all individuals with HIV infection, including those with acute HIV-1 infection (AHI). While recommendations are similar to those for chronic infection, efficacy data regarding treatment of acute HIV is limited. This was a single arm, 96-week study of a once-daily integrase inhibitor (INSTI)-based regimen using elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil fumarate (EVG/COBI/FTC/TDF) in AHI. Primary endpoint was proportion of participants with HIV-1 RNA <200 copies/mL and <50 copies/mL by treatment weeks 24 and 48, respectively. We also examined time to viral suppression and weight gain after treatment initiation. Outcomes and characteristics were compared with a historical AHI cohort using a non-nucleoside reverse transcriptase inhibitor (NNRTI)-based regimen with efavirenz/emtricitabine/tenofovir disoproxil fumarate (EFV/FTC/TDF). Thirty-three participants with AHI were enrolled with 31 available for analyses. Most were African American (61%) and men who have sex with men (73%). Median age was 26 (IQR 22–42). Demographics were similar between the two AHI cohorts. By Week 24, 100% in the INSTI and 99% in the NNRTI cohort were <200 copies/mL; by Week 48, 100% in both cohorts were <50 copies/mL. Time to viral suppression was shorter in the INSTI cohort (median 54 versus 99 days). Mean weight change was similar with a 3.6 kg increase in the INSTI cohort and 2.4 kg in the NNRTI cohort at 96 weeks. INSTI-based ART during AHI resulted in rapid and sustained viral suppression. Over 96 weeks, weight increased in the INSTI-based cohort but was similar to weight increase in a historical NNRTI-based AHI cohort.
Espacios de Formación y Comercialización
Creators: name: Carvajal, Daniel
Publisher: name: unknown
Year: 2023

description: Los espacios de comercialización enfocados en la producción de alimentos sostenibles apoyan considerablemente al cuidado del medio ambiente y ademas de proporcionar la confianza al consumidor de lo que está comprando, esta clase de alimentos son considerados mas saludables que los que si involucran químicos en su producción, las ferias como la implementada por la Universidad Central del Ecuador son espacios enfocados en dicha labor, teniendo una presencia significativa de mujeres en su participación.
Additional file 1 of Host obesity alters the ovarian tumor immune microenvironment and impacts response to standard of care chemotherapy
Creators: name: Liu, Yueying
name: Yang, Jing
name: Hilliard, Tyvette S.
name: Wang, Zhikun
name: Johnson, Jeff
name: Wang, Wanrui
name: Harper, Elizabeth I.
name: Ott, Connor
name: O’Brien, Caitlin
name: Campbell, Leigh
name: Crowley, Brian
name: Grisoli, Stephen
name: Stavrou, Nicholas M.
name: Juncker-Jensen, Anna
name: Stack, M. Sharon
Publisher: name: figshare
Year: 2024
Subjects: subject: Cell Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Additional file 1: Additional methods. Additional Table 1. Phenotyping of murine immune cells. Additional Table 2. Additional adipokine array analysis of ascites from mice on low fat diet (LFD) or high fat diet (HFD). Additional Fig. 1. Pilot pre-clinical trial cohort of high fat diet (HFD) and chemotherapy response. Additional Fig. 2. Complete data from pre-clinical trial of HFD and chemotherapy response. Additional Fig. 3. Evaluation of immune cell staining in human ovarian tumors from patients with normal vs high body mass index (BMI). Additional Fig. 4. Additional immune cell and epithelial-mesenchymal transition (EMT) marker staining in human ovarian tumors from patients with normal vs high BMI. Additional Fig. 5. Evaluation of immune cell staining in murine tumors from mice on a control low fat diet (LFD) or high fat diet (HFD).
E01288: After his death, Theodoros (bishop of of Mopsuestia, ob. 428), is said to have been buried in the church of *Thekla (follower of the Apostle Paul, S00092), presumably in Seleukeia/Seleucia ad Calycadnum (Isauria, southern Asia Minor). Record in the Syriac Ecclesiastical History of Barḥadbešabbā ‘Arbāyā (6th/7th c.).
Creators: name: Sminov
Publisher: name: University of Oxford
Year: 2016
Subjects: History

description: Barḥadbešabbā ‘Arbāyā, Ecclesiastical History 19

ܡܬܚܘ ܕܝܢ ܚܝܘ̈ܗܝ ܕܡܦܫܩܢܐ ܥܕܡܐ ܠܙܒܢܗ ܕܬܐܕܘܛܘܤ ܐܦܣܩܘܦܐ. ܘܒܝܘ̈ܡܬܗ ܕܗܢܐ ܫܟܒ ܒܫܘܬܦܘܬܐ ܕܥܕܬܐ. ܘܐܬܬܣܝܡ ܥܠ ܓܢܒ ܓܖ̈ܡܝܗ̇ ܕܛܘܒܢܝܬܐ ܬܩܠܐ. ܗܝ ܕܡܬܟܪܟܐ ܗܘܬ ܥܡ ܫ̈ܠܝܚܐ. ܐܝܟ ܕܡܢ ܡܥܒܕܢܘܬܐ ܐܠܗܝܬܐ. ܘܟܕ ܠܐ ܒܥܝܢ ܒ̈ܝܫܐ ܡܝܩܪܝܢ ܠܓܖ̈ܡܘܗܝ ܥܡ ܗܠܝܢ ܕܬܩܠܐ.

'The Interpreter (i.e. Theodoros) lived until the times of the bishop Theodotos. And in the days of this one he (Theodoros) passed away, while in communion with the Church. He was laid next to the bones of the blessed Thekla, the one who went round with the apostles, as if by the operation of God, so that even when the evil ones did not want to, they would honour his bones together with those of Thekla.'

Ed. Nau 1913, p. 515; trans. Sergey Minov.