Miracle-dz/UniFAR-FTUs huggingface dataset:
A Benchmark Dose Analysis for Maternal Pregnancy Urine-Fluoride and IQ in Children

As a safe exposure level for fluoride in pregnancy has not been established, we used data from two prospective studies for benchmark dose modeling. We included mother-child pairs from the Early Life Exposures in Mexico to Environmental Toxicants (ELEMENT) cohort in Mexico and the Maternal-Infant Research on Environmental Chemicals (MIREC) cohort in Canada. Children were assessed for IQ at age 4 (n=211) and between 6 and 12 years (n=287) in the ELEMENT cohort and between ages 3 and 4 years (n=512) in the MIREC cohort. We calculated covariate-adjusted regression coefficients and their standard errors to explore the concentration-effect function for maternal urinary fluoride with childrens IQ, including possible sex-dependence. Assuming a benchmark response of 1 IQ point, we derived benchmark concentrations (BMCs) of maternal urinary fluoride and benchmark concentration levels (BMCLs). No deviation from linearity was detected from the results of the two studies. Using a linear slope, the BMC for maternal urinary fluoride associated with a 1-point decrease in IQ scores of preschool-aged boys and girls was 0.29 mg/L (BMCL, 0.18 mg/L). The BMC was 0.30 mg/L (BMCL, 0.19 mg/L) when pooling the IQ scores from the older ELEMENT children and the MIREC cohort. Boys showed slightly lower BMC values compared with girls. Relying on two prospective studies, maternal urine-fluoride exposure at levels commonly occurring in the general population, the joint data showed BMCL results about 0.2 mg/L. These results can be used to guide decisions on preventing excess fluoride exposure in vulnerable populations.
Taking Risks With Cybersecurity: Using Knowledge and Personal Characteristics to Predict Self-Reported Cybersecurity Behaviors

Individuals’ use of insecure cybersecurity behaviors, including the use of weak passwords, is a leading contributor to cybersecurity breaches. While training individuals on best practices in cybersecurity continues to be implemented, prior research has found that training people in the use of secure passwords has not proven to be effective. Developing profiles of individual who are likely to become victims of password hacking, phishing scams, and other types of breaches would be useful, as they could be used to identify individuals with the highest likelihood of engaging in insecure cybersecurity behaviors. The present research tested the hypothesis that in addition to self-reported cybersecurity knowledge, personal characteristics, such as personality traits and general risk-taking behavior not related to technology use, can predict individual differences in cybersecurity behaviors, as measured by self-report. Our hypothesis was confirmed in a large study involving 325 undergraduates. Participants provided information about their self-reported risky cybersecurity behaviors (e.g., using non-secure Wi-Fi, not logging out of accounts on shared computers, etc.), self-reported knowledge about strong/weak passwords, Big Five personality traits (i.e., extraversion, conscientiousness, agreeableness, openness, and mood instability), sensation-seeking personality traits, and general risk-taking unrelated to using technology. The results of a hierarchical regression indicated that 34% of risky cybersecurity behavior was significantly predicted by the combination of self-reported knowledge about strong/weak passwords, personality traits, and risk-taking in daily life. The results suggest that victim profiles should take into account individual differences in personality and general risk-taking in domains unrelated to cybersecurity in addition to cybersecurity knowledge.
The Kinsey scale is ill-suited to most sexuality research because it does not measure a single construct

Jabbour et al. (1) provide evidence that some men are aroused by both men and women. The authors conclude that their findings support the validity of the Kinsey scale (2), opposing concerns raised by Ganna et al. (3). We suggest that the findings from Jabbour et al. do not meaningfully support the validity of the Kinsey scale, and we present analyses of Jabbour et al.’s data that reinforce the concerns raised by Ganna et al. and others (see refs. 4 and 5). The main problem with the Kinsey scale is that it conflates two distinct constructs: degree of sexual attraction/behavior toward opposite-sex others and degree … [↵][1]1To whom correspondence may be addressed. Email: zietsch{at}psy.uq. edu.au. [1]: #xref-corresp-1-1
Factors Influencing Running Velocity at Lactate Threshold in Male and Female Runners at Different Levels of Performance

Background The primary aim was to examine the relationship between lactate threshold (LT) expressed as percentage of maximal oxygen uptake (VO2max) and running velocity at LT (LTV). A secondary aim was to investigate to what extent VO2max, oxygen cost of running (CR), and maximal aerobic speed (MAS) determined LTV. A third aim was to investigate potential differences in LT and LTV between elite, national and recreational runners, as well as possible gender differences regarding VO2max, CR, LT, and LTV. Methods Seventy-five competitive runners (37 males and 38 females) with an average VO2max of 63.0 ± 9.3 mL⋅kg–1⋅min–1, and an average LTV of 13.6 ± 2.3 km⋅h–1 were tested for VO2max, LT, LTV, MAS, and CR. Results Lactate threshold did not correlate with LTV. With an r – value of 0.95 (p < 0.001) and a standard error of estimate of 4.0%, the product of MAS and individual LT determined 90% of LTV, outside a range of ±0.27 km⋅h–1. LTV increased with higher performance level. However, LT did not differ between elite, national and recreational runners. Female runners had 2.5% higher LT, 8% lower LTV, and 21% lower VO2max, but 9% better CR than male runners. Conclusion Lactate threshold did not correlate with LTV. The product of MAS and LT correlated strongly with LTV. There were no differences between elite, national and recreational runners regarding LT, but female runners had higher LT than the male runners. Female runners at the same relative performance level had lower LTV and VO2max, but better CR than male runners.
Longitudinal Changes on Clinical Features in 28 Children With COVID-19 in Shenzhen, China

Objective: To investigate the clinical characteristics of children with coronavirus disease 2019 (COVID-19) and identify the occurrence of viral shedding of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) during follow-up. Methods: We retrospectively retrieved data from pediatric patients with COVID-19 from the Shenzhen Third People's Hospital in China. The dynamics of SARS-CoV-2 and antibodies against SARS-CoV-2 were analyzed during hospitalization and after discharge. Results: From January 23 to March 15, 2020, a total of 28 pediatric patients were diagnosed with COVID-19 and were followed for at least 1 month. The median age was 7 years (IQR 3.5–10) and none of the children progressed to severe COVID-19 during hospitalization. Ten patients tested positive for SARS-CoV-2 1 month after discharge while four patients tested positive during the 2nd month after discharge. Only three of 12 children showed detectable immunoglobulin-M (IgM) on day 5, 18, and 21 after illness onset, respectively. Conclusions: COVID-19 disease was relatively mild among children while a number did test positive after discharge from the hospital. Public health initiatives should thus adapt control measures targeted toward children.
Five microRNAs in Serum Are Able to Differentiate Breast Cancer Patients From Healthy Individuals

Breast cancer is the cancer with the most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients vs. 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based on the expression levels of five microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the overexpression and downregulation of proteins differently expressed in the serum of breast cancer patients vs. that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue, and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a, miR-497, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of miR-125b, miR-29c, miR-16, miR-1260, and miR-451 was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of miR-16 with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and the potential use of the predictor here described are discussed.
Oncological Outcomes of Pathological T1 Lower Rectal Cancer Patients With or Without Preoperative Chemoradiotherapy

Background/Aim: It remains unclear whether rectal cancers down-staged by preoperative chemoradiotherapy (CRT) have similar prognoses to those of the same stage without preoperative CRT. We compared prognoses of pT1 rectal cancer patients stratified by preoperative CRT. Patients and Methods: We retrieved data of patients with pathological T1 rectal cancer between 2003 and 2020. Patients were divided into the “ypT1 group” who received preoperative CRT following surgery and the “pT1 group” who underwent surgery alone. Factors associated with relapse-free survival (RFS) were investigated. Results: Among 86 patients, ypT1 and pT1 groups comprised 18 and 68 patients, respectively. There was no significant difference in RFS between the groups (p=0.19). Tumor location within 5 cm from the anal verge was associated with recurrence (hazard ratio: 0.13, p=0.034). Conclusion: The prognosis of patients with ypT1 rectal cancer was similar to that of patients with pT1. Low tumor location was a poor prognostic factor.
Osteochondral Injury, Management and Tissue Engineering Approaches

Osteochondral lesions (OL) are a common clinical problem for orthopedic surgeons worldwide and are associated with multiple clinical scenarios ranging from trauma to osteonecrosis. OL vary from chondral lesions in that they involve the subchondral bone and chondral surface, making their management more complex than an isolated chondral injury. Subchondral bone involvement allows for a natural healing response from the body as marrow elements are able to come into contact with the defect site. However, this repair is inadequate resulting in fibrous scar tissue. The second differentiating feature of OL is that damage to the subchondral bone has deleterious effects on the mechanical strength and nutritive capabilities to the chondral joint surface. The clinical solution must, therefore, address both the articular cartilage as well as the subchondral bone beneath it to restore and preserve joint health. Both cartilage and subchondral bone have distinctive functional requirements and therefore their physical and biological characteristics are very much dissimilar, yet they must work together as one unit for ideal joint functioning. In the past, the obvious solution was autologous graft transfer, where an osteochondral bone plug was harvested from a non-weight bearing portion of the joint and implanted into the defect site. Allografts have been utilized similarly to eliminate the donor site morbidity associated with autologous techniques and overall results have been good but both techniques have their drawbacks and limitations. Tissue engineering has thus been an attractive option to create multiphasic scaffolds and implants. Biphasic and triphasic implants have been under explored and have both a chondral and subchondral component with an interface between the two to deliver an implant which is biocompatible and emulates the osteochondral unit as a whole. It has been a challenge to develop such implants and many manufacturing techniques have been utilized to bring together two unalike materials and combine them with cellular therapies. We summarize the functions of the osteochondral unit and describe the currently available management techniques under study.
Human-computer Coalition Formation in Weighted Voting Games

This article proposes a negotiation game, based on the weighted voting paradigm in cooperative game theory, where agents need to form coalitions and agree on how to share the gains. Despite the prevalence of weighted voting in the real world, there has been little work studying people’s behavior in such settings. This work addresses this gap by combining game-theoretic solution concepts with machine learning models for predicting human behavior in such domains. We present a five-player online version of a weighted voting game in which people negotiate to create coalitions. We provide an equilibrium analysis of this game and collect hundreds of instances of people’s play in the game. We show that a machine learning model with features based on solution concepts from cooperative game theory (in particular, an extension of the Deegan-Packel Index) provide a good prediction of people’s decisions to join coalitions in the game. We designed an agent that uses the prediction model to make offers to people in this game and was able to outperform other people in an extensive empirical study. These results demonstrate the benefit of incorporating concepts from cooperative game theory in the design of agents that interact with people in group decision-making settings.
Risking Treasure: Testing Loss Aversion in an Adventure Game

Loss aversion is a cognitive bias in which the negative feelings associated with prospective losses have a greater magnitude than the positive feelings of winning equivalent gains. Although well studied in behavioural economics, there is little understanding of whether and how it arises in game contexts. In games, the 'magic circle' may free players from their held attitudes, especially because in-game losses and gains are virtual. On the other hand, experienced immersion and a desire to achieve may make in-game decisions similar to out-of-game contexts. Knowing whether cognitive biases like loss aversion affect players is important for game designers when they create decision points and choices for players. We carried out a study in a Zelda-style game with 18 decision points about wagering gold at different win:loss ratios. Our results show that despite the temporary and digital nature of the game world, and the virtual nature of the gold, players still exhibited a strong bias towards avoiding losses. Our findings imply that designers should understand and account for loss aversion when setting up risk and reward structures in their games.
Alpha-Arbutin Promotes Wound Healing by Lowering ROS and Upregulating Insulin/IGF-1 Pathway in Human Dermal Fibroblast

Alpha-arbutin (4-hydroxyphenyl alpha-glucopyranoside) is a known inhibitor of tyrosinase in keratinocytes; however, its effect on other genes and pathways in other skin cells has not been thoroughly investigated. In this study, we investigate the mechanism of alpha-arbutin activity in human dermal fibroblast cultures for 48 h. Results showed that the oxidative stress pathway was activated as alpha-arbutin reduced reactive oxygen species. In addition, we found a high possibility of wound healing and the upregulation of the insulin-like growth factor 1 receptor (IFG1R) pathway. We also investigated the role of the NRF2 gene in mediating the alpha-arbutin response. In silico comparative genomics analysis conducted using our original tool, SHOE, suggested transcription factors with a role in tumor suppression and toxicity response as candidates for regulating the alpha-arbutin–mediated pathway.
Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy

Overcoming a range of challenges that traditional therapy faces, VRET yields great potential for the treatment of phobias such as acrophobia, the fear of heights. We investigate this potential and present playful user-generated treatment (PUT), a novel game-based approach for VRET. Based on a requirement analysis consisting of a literature review and semi-structured interviews with professional therapists, we designed and implemented the PUT concept as a two-step VR game design. To validate our approach, we conducted two studies. (1) In a study with 31 non-acrophobic subjects, we investigated the effect of content creation on player experience, motivation and height perception, and (2) in an online survey, we collected feedback from professional therapists. Both studies reveal that the PUT approach is well applicable. In particular, the analysis of the user study shows that the design phase leads to increased interest and enjoyment without notably influencing affective measures during the exposure session. Our work can help guiding researchers and practitioners at the intersection of game design and exposure therapy.
The Path to Fully Representational Theory of Mind: Conceptual, Executive, and Pragmatic Challenges

Although an explicit Theory of Mind (ToM) has been found to develop around 4 years of age in Western societies, recent work showing that 4- and 5-year-olds fail modified versions of False Belief tasks as well as seemingly easier True Belief tasks calls into question the robustness of preschoolers’ belief understanding. Some have argued these findings illustrate children’s conceptual limitations in their understanding of belief that are masked by standard False Belief tasks. However, others claim these examples of children’s failure can be explained by pragmatics of the testing situation, rather than conceptual limitations. Given the documented relation between ToM and executive function, an unexamined possibility is that children’s failure can be explained by certain executive demands. In the current study, we examined the relation between typically developing 4- (n = 43) and 5-year-olds’ (n = 42) performance on traditional and modified False Belief tasks, True Belief tasks, and one component of executive functioning - working memory. We found that children performed worse on modified False Belief tasks and True Belief tasks compared to standard 2-option False Belief tasks, and that working memory was related to modified 3-option contents False Belief performance. These results suggest that a fully representational ToM, one that is stable in the context of increased conceptual, executive, and pragmatic demands, may develop later than traditional accounts have assumed.
Exploiting points of interest for predictive policing

High crime rates have become a public health problem in many important cities, according to World Health Organization. Many researchers have been developing algorithms to predict crime occurrences to tackle this problem. The smart cities' environment can provide us enough ubiquitous data, e.g., traffic flow, human mobility, and Points of Interest (POI) information, to feed those predictive policing algorithms and reflect city dynamics. POIs data provide essential information such as geographical location, category, customer reviews, and busy hours. Recent studies have shown that POI geographical locations are useful for predictive policing. In this paper, we aim at predicting crimes in a delimited region around the POIs of a city with new environmental features. We investigate the relevance of POIs location and the semantic and the temporal features from POIs data in our problem. We also propose and analyze different machine learning approaches to train prediction functions based on these features and conduct experiments on real crime data over multiple years. The experiments demonstrate that the popular time feature is more relevant than the historical information about the number of crimes around a POI, but both information is much less critical than the spatio-temporal information. This work is the first that studies the popular time feature extracted from POIs data and historical criminal information for predictive policing from the authors' knowledge.
Emotion Regulation Questionnaire for Cross-Gender Measurement Invariance in Chinese University Students

Objectives Emotion regulation has been extensively studied in various areas of psychology. The Emotion Regulation Questionnaire (ERQ) was developed to assess two specific constructs associated with emotion control—cognitive reappraisal and expression suppression (Gross and John, 2003). The instrument displayed sound psychometric properties; however, to date, inquiry regarding the measure’s characteristics has been limited. This study aims to measure cross-gender invariance [measurement invariance (MI)] in Chinese undergraduates using the ERQ. Methods This study measured the psychometric properties of the ERQ in a sample of 847 Mainland China undergraduates (401 males and 446 females) through confirmatory factor analysis. The tests of MI were used to examine potential structural differences based on gender. Results The findings supported the measure’s original structure with all demographic groups and demonstrated exceptional fit. Additional normative data for gender and ethnic groups are included as well. The results also supported the use of the instrument in future research. Conclusion The two-factor structure in the ERQ establishes a cross-gender equivalence between males and females in Chinese college students. This study supports the use of the instrument in future research.
The Potential of Mesenchymal Stromal Cell as Therapy in Neonatal Diseases

Mesenchymal stromal cells (MSCs) can be derived from various tissue sources, such as the bone marrow (BMSCs), adipose tissue (ADSCs), umbilical cord (UC-MSCs) and umbilical cord blood (UCB-MSCs). Clinical trials have been conducted to investigate the potential of MSCs in ameliorating neonatal diseases, including bronchopulmonary dysplasia (BPD), intraventricular hemorrhage (IVH) and necrotizing enterocolitis (NEC). In preclinical studies, MSC therapy has been tested for the treatment of various neonatal diseases affecting the heart, eye, gut, and brain as well as sepsis. Up to date, the number of clinical trials using MSCs to treat neonatal diseases is still limited. The data reported thus far positioned MSC therapy as safe with positive outcomes. However, most of these trials are still preliminary and generally smaller in scale. Larger trials with more appropriate controls and a longer follow-up period need to be conducted to prove the safety and efficacy of the therapy more conclusively. This review discusses the current application of MSCs in treating neonatal diseases, its mechanism of action and future direction of this novel therapy, including the potential of using MSC-derived extracellular vesicles instead of the cells to treat various clinical conditions in the newborn.