Miracle-dz/UniFAR-FTUs huggingface dataset:
Challenges and Future of Drug-Induced Liver Injury Research—Laboratory Tests

Drug-induced liver injury (DILI) is a rare but potentially severe adverse drug event, which is also a major cause of study cessation and market withdrawal during drug development. Since no acknowledged diagnostic tests are available, DILI diagnosis poses a major challenge both in clinical practice as well as in pharmacovigilance. Differentiation from other liver diseases and the identification of the causative agent in the case of polymedication are the main issues that clinicians and drug developers face in this regard. Thus, efforts have been made to establish diagnostic testing methods and biomarkers in order to safely diagnose DILI and ensure a distinguishment from alternative liver pathologies. This review provides an overview of the diagnostic methods used in differential diagnosis, especially with regards to autoimmune hepatitis (AIH) and drug-induced autoimmune hepatitis (DI-AIH), in vitro causality methods using individual blood samples, biomarkers for diagnosis and severity prediction, as well as experimental predictive models utilized in pre-clinical settings during drug development regimes.
Muscle Wasting in Chronic Kidney Disease: Mechanism and Clinical Implications—A Narrative Review

Muscle wasting, known to develop in patients with chronic kidney disease (CKD), is a deleterious consequence of numerous complications associated with deteriorated renal function. Muscle wasting in CKD mainly involves dysregulated muscle protein metabolism and impaired muscle cell regeneration. In this narrative review, we discuss the cardinal role of the insulin-like growth factor 1 and myostatin signaling pathways, which have been extensively investigated using animal and human studies, as well as the emerging concepts in microRNA- and gut microbiota-mediated regulation of muscle mass and myogenesis. To ameliorate muscle loss, therapeutic strategies, including nutritional support, exercise programs, pharmacological interventions, and physical modalities, are being increasingly developed based on advances in understanding its underlying pathophysiology.
Effects of Copenhagen Adduction Exercise on Muscle Architecture and Adductor Flexibility

Groin injuries are one of the most prevalent in sports, especially due to the hip adductor muscles’ weakness, which is considered as a risk factor. The Copenhagen adduction exercise (CAE) has been demonstrated to increase the strength of adductor muscles, but its effects on the architectural characteristics and flexibility of the adductors has been little studied. The aim of the present study was to analyse the impact on the muscular architecture and flexibility of the adductor musculature after 8 weeks of CAE-based training and after 4 weeks of subsequent detraining. A sample of 45 active subjects (26.1 ± 2.8 years old) were randomly divided into a control group with no intervention and an experimental group with an intervention based on 8 weeks of CAE training and 4 weeks of subsequent detraining. The muscle thickness of adductors was measured before and after training and detraining using ultrasound imaging and hip abduction range with goniometry. A significant increase in muscle thickness (left leg: +17.83%, d = 1.77, p < 0.001//right leg: +18.38%, d = 1.82, p < 0.001) and adductor flexibility was found in the experimental group (left leg: +7.3%, d = 0.96, p < 0.05//right leg: +7.15%, d = 0.94, p < 0.05), and after detraining, both variables returned to their initial values. These results could indicate that CAE would be a suitable strategy to modify the architecture of the adductors and thus form part of training protocols designed for the prevention and rehabilitation of muscle injuries.
Effects of 8-Week In-Season Contrast Strength Training Program on Measures of Athletic Performance and Lower-Limb Asymmetry in Male Youth Volleyball Players

Strength training using high and lower load such as contrast training (CST) seems to be beneficial as it addresses larger adaptive reserves in youth athletes. Therefore, the aim of this study was to investigate the effects of CST on dynamic balance (composite score during dynamic balance test (CS-YBT)), one repetition maximum lower-limb back squat (1RM), jumping performance (single-leg hop (SLH) or countermovement jump height (CMJ)), lower-limb asymmetry (predicted from the single-leg jump performance between two legs [ILA]) in elite youth male volleyball players. Thirty-one male youth volleyball players aged 14 years were randomly assigned to a CST group (n = 16) or a control group (n = 15). The tests were performed before and after 8 weeks of training. Significant group × time interactions was observed for CS-YBT [p < 0.001, ηp2 = 0.70], 1RM [p < 0.001, ηp2 = 0.95], SLH with right and left leg [p < 0.001, ηp2 = 0.69 and 0.51], CMJ [p < 0.001, ηp2 = 0.47]), whilst it was not notable in ILA [p < 0.294]. Post hoc tests showed that CST group demonstrated greater improvement in all of the dependent variables from medium to large effect size (for all p < 0.001). As a result, 8 weeks of CST twice a week can be an effective and efficient training along with volleyball training to improve skill-related fitness measures, except for lower-limb asymmetry in young volleyball players.
Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation

Smallholder farming dominates agriculture in poorer countries. Yet, traditional recall-based surveys on smallholder farming in these countries face challenges with seasonal variations, high survey costs, poor record-keeping, and technical capacity constraints resulting in significant recall bias. We offer the first study that employs a less-costly, imputation-based alternative using mixed modes of data collection to obtain estimates on smallholder farm labor. Using data from Tanzania, we find that parsimonious imputation models based on small samples of a benchmark weekly inperson survey can offer reasonably accurate estimates. Furthermore, we also show how less accurate, but also less resource-intensive, imputation-based measures using a weekly phone survey may provide a viable alternative for the more costly weekly in-person survey. If replicated in other contexts, including for other types of variables that suffer from similar recall bias, these results could open up a new and cost-effective way to collect more accurate data at scale.
Trap'd Teens: Impacts of Abortion Provider Regulations on Fertility & Education

IZA DP No. 14837 NOVEMBER 2021 TRAP’d Teens: Impacts of Abortion Provider Regulations on Fertility & Education Targeted regulations of abortion providers (TRAP laws) are the fastest growing abortion restriction in the U.S. These often result in clinic closures, limiting abortion access. We study how women’s exposure to these laws in adolescence affects their fertility and educational attainment. For this study, we codify the legal history of all TRAP laws ever implemented. We explore the impacts of TRAP laws on teen births using an event-study analysis and stacked differences-in-differences methodology to avoid issues of negative weighting inherent in two-way fixed effects approaches. Consistent with other evidence on abortion access, we find that impacts on births are large and robust for Black women. Black teen births in states that implemented TRAP laws increased by 3 percent relative to changes in states without these restrictions. We offer evidence that these impacts are driven by reductions in abortion access, abortion use, and contraception use among Black teens. We further document that adolescent exposure to TRAP laws has downstream impacts on education. We find that Black women first exposed to TRAP laws before age 18 are 1 to 3 percentage points less likely to initiate and complete college. This study documents the important role that abortion access plays in reducing the harmful economic impacts of unintended teen motherhood. The findings suggest that modern abortion restrictions are harming women’s efforts at economic advancement and are perpetuating racial inequality. JEL Classification: J13, I24, I14, J15, J16
Tattooed Individuals in a Community: Motivations and Identities

ABSTRACT Expounding upon social identity theory and the extended self-concept, this study examined the role of individuals’ motivations to get tattooed and their identities within their feelings of community connectedness. With the growing prevalence of tattooed individuals, antiquated notions of deviant behavior may be transitioning to a broader representation of the tattooed community in academic research. This study was designed with three objectives; first, we examined the effects of tattoo motivations on an individual’s self- and group-identity, second, we examined the effects of identities on community connectedness; and finally, we investigated the moderating effects of tattoo coverage on the body in relationship to tattoo motivations and identities. Findings revealed that uniqueness positively influenced group-identity, but not self-identity; spirituality positively influenced both self-identity and group-identity; belongingness positively influenced group-identity, while counter-culture negatively influenced group-identity. Furthermore, both self-identity and group-identity positively influenced community connectedness. Finally, the moderating effects of tattoo coverage existed for two relationships: (a) between uniqueness and self-identity and (b) between spirituality and self-identity.
Value of travel time savings of autonomous vehicle commuters: a segmented valuation for local and inter-city travel

ABSTRACT In this study we aim to identify how the adoption of autonomous vehicles (AVs) affects the value of travel time savings (VOTTS) for commuting trips under different trip distance scenarios (local and inter-city travel). Using a stated preference survey administered to Korean commuters in 2019, two multinomial logit (MNL) mode choice models are developed. These models are stratified by trip length and include four alternatives: AV with a manual driving option (AVMD), AV with a self-driving option (AVSD), shared AV (SAV), and public transit (PT). The results show that the value of in-vehicle travel time savings for AVSD (on average, $7.61/hr) is lower than for the other two AV modes (AVMD = $10.26/hr, SAV = $13.67/hr). It suggests that travelers tend to pay less to reduce travel time while using a private hands-free mode because it allows travelers to use their travel time more productively and/or relieve stress for driving. In addition, changes in the VOTTS for each mode vary by trip length. As travel distance increases, VOTTS for shared modes (SAV and PT) tends to decrease. The value of in-vehicle travel time for SAV in the local travel scenario is the highest among the four modes but is considerably lower than that in the inter-city scenario. These differences suggest that travelers require a certain amount of time to fully use their in-vehicle time, highlighting the importance of trip length when determining the VOTTS. Interestingly, the VOTTS for PT is lower than three AV modes, implying that it might be too early to expect substantial reduction in the VOTTS for AVs due to potential risks of accidents, unfamiliarity with AVs, or immature technology of AVs. Highlights Likelihood of choosing autonomous vehicles is modelled based on trip length. Changes in value of travel time savings for each mode vary by trip length. Value of travel time savings for public transit is lower than autonomous vehicles. Self-driving vehicles have a low value of travel time savings than other modes. People need a certain amount of time to fully perform activities while traveling.
Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers

Radiomics is an upcoming field in nuclear oncology, both promising and technically challenging. To summarize the already undertaken work on supradiaphragmatic neoplasia and assess its quality, we performed a literature search in the PubMed database up to 18 February 2022. Inclusion criteria were: studies based on human data; at least one specified tumor type; supradiaphragmatic malignancy; performing radiomics on PET imaging. Exclusion criteria were: studies only based on phantom or animal data; technical articles without a clinically oriented question; fewer than 30 patients in the training cohort. A review database containing PMID, year of publication, cancer type, and quality criteria (number of patients, retrospective or prospective nature, independent validation cohort) was constructed. A total of 220 studies met the inclusion criteria. Among them, 119 (54.1%) studies included more than 100 patients, 21 studies (9.5%) were based on prospectively acquired data, and 91 (41.4%) used an independent validation set. Most studies focused on prognostic and treatment response objectives. Because the textural parameters and methods employed are very different from one article to another, it is complicated to aggregate and compare articles. New contributions and radiomics guidelines tend to help improving quality of the reported studies over the years.
Fin whale (
 Balaenoptera physalus
 ) distribution modeling on their Nordic and Barents Seas feeding grounds

Understanding cetacean distribution is essential for conservation planning and decision-making, particularly in regions subject to rapid environmental changes. Nevertheless, information on their spatiotemporal distribution is commonly limited, especially from remote areas. Species distribution models (SDMs) are powerful tools, relating species occurrences to environmental variables to predict the species' potential distribution. This study aims at using presence-only SDMs (MaxEnt) to identify suitable habitats for fin whales ( Balaenoptera physalus ) on their Nordic and Barents Seas feeding grounds. We used spatial-block cross-validation to tune MaxEnt parameters and evaluate model performance using spatially independent testing data. We considered spatial sampling bias correction using four methods. Important environmental variables were distance to shore and sea ice edge, variability of sea surface temperature and sea surface salinity, and depth. Suitable fin whale habitats were predicted along the west coast of Svalbard, between Svalbard and the eastern Norwegian Sea, coastal areas off Iceland and southern East Greenland, and along the Knipovich Ridge to Jan Mayen. Results support that presence-only SDMs are effective tools to predict cetacean habitat suitability, particularly in remote areas like the Arctic Ocean. SDMs constitute a targeting future surveys and identifying top priority sites for conservation measures. 2014; El-Gabbas & Dormann, 2018a). Predicted habitat suitability maps in our study could be used for planning future surveys. Improving the spatiotemporal resolution of environmental data is of mutual importance in future SDM applications. Obtaining high-resolution data will help avoid potential uncertainty resulting from using variables at different spatiotemporal resolutions and further enable the use of these environmental data to calibrate dynamic models.
The Challenge of Second Generation Alcohol Abuse in Kenya

This paper analyzes factors influencing alcohol abuse especially second generation alcohol of busaa and chang’aa among Roman Catholic Church believers. Alcohol abuse brought about by addiction is of great concern in Uasin Gishu County due to its disastrous effects on health, socio-cultural and economic well-being of the society. The church, in this case, the Roman Catholic has a dominant role to play. The paper pursued factors influencing alcohol abuse among Roman Catholic Church believers in Uasin Gishu County, Kenya. The Structural Functional Theory by Emile Durkheim and Symbolic Interaction Theory by Marx Weber were used to guide the study. The study targeted the Roman Catholic believers, clergy, rehabilitation counselors, Alcoholic Drinks Control Board and reformed addicts within the study area. Snowball and simple random sampling were used to select 16 informants to form the sample size for the study. Data was collected using the Interview Guide and Observation Schedule. Data was cleaned and organized before analysis. Data was analyzed by discussing information within the context of the study. The findings of the study revealed that some of the Roman Catholic Church believers indulged in alcoholism. Major factors that contributed to this vice were peer influence, poverty. Stress, influence of media availability and accessibility of alcohol. The findings of the study would be of great significance to the Roman Catholic Church clergy and believers. It would also be of utmost significance to both the National and County Government in informing workable policies to ensure control of the “second generation” alcohol. Among the key recommendations are that: there should be combined effort by Roman Catholic Church and other denominations, the community as well as Government institutions and agencies such as NACADA to campaign against alcohol abuse among the people and more so believers; the National and County Governments should work hand-in hand to initiate projects that would economically empower the youths; they should also be provided with permanent employment. The Roman Catholic Church should provide easy interpretation of certain scriptures on alcohol which are philosophically understood such as transubstantiation. The Government should keenly work towards preventing the production, sale and consumption of the second generation alcohol while considering building affordable rehabilitation centers and hiring paralegal helpers to champion rights of the poor addicts and their families.
Factors Affecting Nurses’ Health Promotion Behavior during the COVID-19 Pandemic Based on the Information–Motivation–Behavioral Skills Model

Background and Objectives: The COVID-19 pandemic has emerged as a major threat to nurses’ health. This study aimed to investigate the factors affecting nurses’ health promotion behaviors during the coronavirus disease 2019 (COVID-19) pandemic. Material and Methods: The participants were clinical nurses who had direct contact with patients at a university hospital in G province, Korea. Data were collected from March 16 to April 16, 2021, and the final analysis included data from 162 nurses. The general and lifestyle characteristics of the participants were analyzed using descriptive statistics, and the effect on health promotion behavior was analyzed using multiple regression with SPSS/WIN 21.0. Results: The results showed that the factors influencing nurses’ health promotion behavior during the COVID-19 pandemic were social support (β = 0.40, p < 0.001), self-efficacy (β = 0.27, p = 0.014), being married (β = 0.18, p = 0.018), having good health (β = 0.31, p < 0.001), and not skipping meals (β = 0.20, p = 0.001). The explanatory power of the variables was 51.4%. Therefore, health promotion programs to promote social support and self-efficacy are needed to improve nurses’ health promotion behaviors during the COVID-19 pandemic. Conclusions: These results indicate that the development of additional management strategies for health promotion among nurses during the COVID-19 pandemic is necessary. It is necessary to prepare organizational policies and manage self-care to improve nurses’ irregular eating habits during the ongoing pandemic.
Preschool Teachers’ Sensibility in Music and Visual Arts as a Foundation for Encouraging Creative Expression in Children

Active participation in art activities has a positive effect on the development of creativity and sensibility in children, as well as their emotional development, which is usually neglected in contemporary education due to the continuous development and influence of technology on education. The purpose of this study is to investigate how often preschool teachers encourage children to creatively express themselves through music and visual arts based on the preschool teachers’ sensibility and interest in the arts, which are developed through after-school art education and visits to art-related events, such as art exhibitions or musical performances. Data were collected through an anonymous questionnaire on a sample of 137 preschool teachers attending the graduate studies program of Early Childhood and Preschool Education. The participants who engaged in after-school art education, visited art exhibitions, and attended musical events, conducted art activities more frequently than those who rarely attended those types of events. The results highlight the importance of the preschool teachers’ sensibility and interest in music and visual arts for facilitating the holistic development of children by encouraging them to participate in art activities from an early age. span, (c) develop an understanding for the significance of nuances and that which is subtle, (d) facilitate the dimensions of spontaneity, invention, and insight, (e) develop/improve the quantitative and qualitative experiences of things, (f) promote the scope and diversity of knowledge, (g) develop an appreciation for sensibility and intuition, and (h) help people understand the importance of developing imagination as one of the most important human faculties.
Computational Metabolomics Tools Reveal Metabolic Reconfigurations Underlying the Effects of Biostimulant Seaweed Extracts on Maize Plants under Drought Stress Conditions

Drought is one of the major abiotic stresses causing severe damage and losses in economically important crops worldwide. Drought decreases the plant water status, leading to a disruptive metabolic reprogramming that negatively affects plant growth and yield. Seaweed extract-based biostimulants show potential as a sustainable strategy for improved crop health and stress resilience. However, cellular, biochemical, and molecular mechanisms governing the agronomically observed benefits of the seaweed extracts on plants are still poorly understood. In this study, a liquid chromatography–mass spectrometry-based untargeted metabolomics approach combined with computational metabolomics strategies was applied to unravel the molecular ‘stamps’ that define the effects of seaweed extracts on greenhouse-grown maize (Zea mays) under drought conditions. We applied mass spectral networking, substructure discovery, chemometrics, and metabolic pathway analyses to mine and interpret the generated mass spectral data. The results showed that the application of seaweed extracts induced alterations in the different pathways of primary and secondary metabolism, such as phenylpropanoid, flavonoid biosynthesis, fatty acid metabolism, and amino acids pathways. These metabolic changes involved increasing levels of phenylalanine, tryptophan, coumaroylquinic acid, and linolenic acid metabolites. These metabolic alterations are known to define some of the various biochemical and physiological events that lead to enhanced drought resistance traits. The latter include root growth, alleviation of oxidative stress, improved water, and nutrient uptake. Moreover, this study demonstrates the use of molecular networking in annotating maize metabolome. Furthermore, the results reveal that seaweed extract-based biostimulants induced a remodeling of maize metabolism, subsequently readjusting the plant towards stress alleviation, for example, by increasing the plant height and diameter through foliar application. Such insights add to ongoing efforts in elucidating the modes of action of biostimulants, such as seaweed extracts. Altogether, our study contributes to the fundamental scientific knowledge that is necessary for the development of a biostimulants industry aiming for a sustainable food security.