Miracle-dz/UniFAR-FTUs huggingface dataset:
Representation Learning for Context-Dependent Decision-Making

Humans are capable of adjusting to changing environments flexibly and quickly. Empirical evidence has revealed that representation learning plays a crucial role in endowing humans with such a capability. Inspired by this observation, we study representation learning in the sequential decision-making scenario with contextual changes. We propose an online algorithm that is able to learn and transfer context-dependent representations and show that it significantly outperforms the existing ones that do not learn representations adaptively. As a case study, we apply our algorithm to the Wisconsin Card Sorting Task, a well-established test for the mental flexibility of humans in sequential decision-making. By comparing our algorithm with the standard Q-learning and Deep-Q learning algorithms, we demonstrate the benefits of adaptive representation learning.
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models

Massively Multilingual Transformer based Language Models have been observed to be surprisingly effective on zero-shot transfer across languages, though the performance varies from language to language depending on the pivot language(s) used for fine-tuning. In this work, we build upon some of the existing techniques for predicting the zero-shot performance on a task, by modeling it as a multi-task learning problem. We jointly train predictive models for different tasks which helps us build more accurate predictors for tasks where we have test data in very few languages to measure the actual performance of the model. Our approach also lends us the ability to perform a much more robust feature selection, and identify a common set of features that influence zero-shot performance across a variety of tasks.
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness

Randomized smoothing (RS) has been shown to be a fast, scalable technique for certifying the robustness of deep neural network classifiers. However, methods based on RS require augmenting data with large amounts of noise, which leads to significant drops in accuracy. We propose a training-free, modified smoothing approach, Smooth-Reduce, that leverages patching and aggregation to provide improved classifier certificates. Our algorithm classifies overlapping patches extracted from an input image, and aggregates the predicted logits to certify a larger radius around the input. We study two aggregation schemes -- max and mean -- and show that both approaches provide better certificates in terms of certified accuracy, average certified radii and abstention rates as compared to concurrent approaches. We also provide theoretical guarantees for such certificates, and empirically show significant improvements over other randomized smoothing methods that require expensive retraining. Further, we extend our approach to videos and provide meaningful certificates for video classifiers. A project page can be found at https://nyu-dice-lab.github. io/SmoothReduce/
Improved Sample Complexity Bounds for Branch-And-Cut

The branch-and-cut algorithm for integer programming has a wide variety of tunable parameters that have a huge impact on its performance, but which are challenging to tune by hand. An increasingly popular approach is to use machine learning to configure these parameters based on a training set of integer programs from the application domain. We bound how large the training set should be to ensure that for any configuration, its average performance over the training set is close to its expected future performance. Our guarantees apply to parameters that control the most important aspects of branch-and-cut: node selection, branching constraint selection, and cut selection, and are sharper and more general than those from prior research.
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

: Mixture of experts (MoE) are a popular class of statistical and machine learning models that have gained attention over the years due to their ﬂexibility and eﬃciency. In this work, we consider Gaussian- gated localized MoE (GLoME) and block-diagonal covariance localized MoE (BLoME) regression models to present nonlinear relationships in het- erogeneous data with potential hidden graph-structured interactions between high-dimensional predictors. These models pose diﬃcult statistical estimation and model selection questions, both from a computational and theoretical perspective. This paper is devoted to the study of the problem of model selection among a collection of GLoME or BLoME models characterized by the number of mixture components, the complexity of Gaussian mean experts, and the hidden block-diagonal structures of the covariance matrices, in a penalized maximum likelihood estimation framework. In par- ticular, we establish non-asymptotic risk bounds that take the form of weak oracle inequalities, provided that lower bounds for the penalties hold. The good empirical behavior of our models is then demonstrated on synthetic and real datasets.
VERTICO II: How H i-identified Environmental Mechanisms Affect the Molecular Gas in Cluster Galaxies

In this VERTICO early science paper we explore in detail how environmental mechanisms, identified in H i, affect the resolved properties of molecular gas reservoirs in cluster galaxies. The molecular gas is probed using ALMA ACA (+TP) observations of 12CO(2–1) in 51 spiral galaxies in the Virgo cluster (of which 49 are detected), all of which are included in the VIVA H i survey. The sample spans a stellar mass range of 9≤logM⋆/M⊙≤11 . We study molecular gas radial profiles, isodensity radii, and surface densities as a function of galaxy H i deficiency and morphology. There is a weak correlation between global H i and H2 deficiencies, and resolved properties of molecular gas correlate with H i deficiency: galaxies that have large H i deficiencies have relatively steep and truncated molecular gas radial profiles, which is due to the removal of low-surface-density molecular gas on the outskirts. Therefore, while the environmental mechanisms observed in H i also affect molecular gas reservoirs, there is only a moderate reduction of the total amount of molecular gas.
Systematic review and meta-analysis of the risk factors of surgical site infection in patients with colorectal cancer

Background Surgical site infection (SSI) influenced the result of surgical treatment, which was known as the second most prevalent hospital-based infection. But, the factors of SSI are not uniform. The purpose of this study was to identify the risk factors of SSI in patients with colorectal cancer. We conducted a meta-analysis of epidemiological research to provide a scientific basis for the prevention of SSI. Methods The PubMed, Medline, Embase, China National Knowledge Infrastructure (CNKI), and Wanfang databases were independently searched by 2 researchers to identify all relevant studies. Studies were selected if they met the selection criteria, which was defined according to the PICOS principles. The quality of the evidence was assessed using Egger’s P value, study heterogeneity, and sample size. Studies were categorized into 3 groups as follows: low quality (Class 4), moderate quality (Class 2/3), and high quality (Class 1). The meta-analysis was performed using RevMan 5.3 software. Results A total of 17 studies involving 61,611 patients were included in the meta-analysis. The results identified 7 patient-related risk factors of SSI, including male gender, obesity, diabetes mellitus, American Society of Anesthesiologists (ASA) score, cigarette smoking, tumor location, and serum albumin level, and 5 treatment-related risk factors, including laparoscopic surgery, operation time, blood loss, blood transfusion, and abdominal surgical history. Age was not directly related to SSI in colorectal cancer. Conclusions It is possible that patients can be treated effectively by identifying these factors of SSI.
The effectiveness of simulation training in obstetric emergencies: A meta-analysis

Role of clinical skill training in the formation of skills and professional competencies of midwifery students is important. Hence, the use of “training new methods are essential in clinical settings. ” This study aimed at determining the effectiveness of simulation training in obstetric emergencies. In this meta-analysis study, international databases of Web of Science, Scopous, Proquest, and PubMed and Iranian databases such as Irandoc, Magiran, and SID were searched for studies published between 2000 and 2020 using related keywords. Based on the consortium checklist, the full text of the selected articles was reviewed and in case of a specific score, the article was analyzed. The results show that, out of 420 studies after applying the inclusion and exclusion criteria, only nine clinical trial articles were reviewed. Studies were conducted in Iran, the United States, France, China, and Chicago. The results of meta-analysis showed that the simulation training method can be effective in managing midwifery emergencies. Hence, the use of simulation training method can be effective in various areas of learning related to obstetric emergencies.
Validity and reliability: The psychometric properties of the Persian version of Short Form of the Impulsiveness Questionnaire UPPS-P in Iran

BACKGROUND: Impulsiveness is a multidimensional and multifaceted construct that plays an important role in understanding various psychopathology and problematic behavior. It is necessary to study the psychometric properties of instruments in the new culture before its scientific application, and it also contributes to external validity. The current study was conducted to determine the psychometric properties of the Persian version of Short Form of the Impulsiveness Questionnaire UPPS-P (SUPPS-P) in a sample of male soldiers serving in the military service. MATERIALS AND METHODS: The present research design is cross-sectional in 2019–2020. The Iranian version of the SUPPS-P was prepared across forwarding translation, reconciliation, and back-translation. The research sample included 254 soldiers who were selected via convenience sampling method and completed a set of scales, including the SUPPS-P scales, short-form self-compassion scale, McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD), Cognitive Flexibility Inventory (CFI), Perth Alexithymia Questionnaire (PAQ), and the Deliberate Self-harm Inventory (DSHI). The construct validity of SUPPS-P scale was measured using confirmatory factor analysis and convergent and divergent validity. For reliability, Cronbach's alpha and test–retest reliability (with 2 weeks interval) were used. Data were analyzed using LISREL software (version 8.8) and SPSS version 22. RESULTS: The results showed that the SUPPS-P scale is a reliable and valid scale with acceptable internal consistency and acceptable test–retest reliability among soldiers. In terms of convergent validity, SUPPS-P showed a significant positive correlation with measures of MSI-BPD, PERS, and DSHI. SUPPS-P showed a negative correlation with self-compassion and cognitive flexibility, thus demonstrated a good divergent validity. The results of this study also provide support for the five-factor model of the SUPPS-P scale. CONCLUSION: The SUPPS-P instrument showed acceptable validity and reliability and could be useful in assessing impulsivity in Iranian society. The SUPPS-P scale shows notable promise as a measure for use in impulsivity research and clinical settings.
Inverted Meckel's Diverticulum Masquerading as a Subepithelial Tumor of the Ileum

ABSTRACT We describe a case of an inverted Meckel's diverticulum presenting as an intraluminal subepithelial lesion on intraoperative enteroscopy. A 53-year-old woman presented with chronic iron deficiency anemia unresponsive to escalating iron supplementation. After equivocal upper and lower endoscopy and negative cross-sectional imaging, capsule endoscopy suggested a submucosal mass lesion in the proximal ileum. Antegrade double-balloon enteroscopy was unsuccessful in reaching the lesion. A large pedunculated, submucosal-appearing lesion was finally identified on intraoperative enteroscopy. The mass was surgically resected, and final pathology confirmed an inverted Meckel's diverticulum.
Single-cell immune profiling reveals a developmentally distinct CD4+ GM-CSF+ T-cell lineage that induces GI tract GVHD

Key Points scRNAseq identifies two CD4+ GM-CSF+ T-cell subsets in the colon during GVHD that can be distinguished based on expression of IFN-γ. CD4+ GM-CSF+ IFN-γ− T cells constitute an IL-7–responsive, transcriptionally and developmentally distinct colitogenic TH GM-CSF + lineage.
Psychometric properties of the Persian version of System for Evaluation of Teaching Qualities by students: A tool for assessing clinical tutors from students’ viewpoint

BACKGROUND: Effective clinical teaching is crucially important for patient care in future. Therefore, proper clinical training is essential to make physicians capable of delivering high-quality health care. MATERIALS AND METHODS: The present study was a cross-sectional research. After translating the questionnaire into Persian, it was distributed among medical students in the clinical years of medical education in teaching hospitals affiliated to Ahvaz Jundishapur University of Medical Sciences in 2018. The System for Evaluation of Teaching Qualities (SETQ) has 25 questions in a 6-scale Likert scale that evaluates clinical tutors in five dimensions of teaching and learning environment, professional attitude toward students, transferring of goals, evaluation of students, feedback, and promoting self-directed learning. Instrument reliability was assessed by calculating the Cronbach's alpha coefficient, whereas questionnaire content validity was evaluated by relative content validity ratio (CVR) and content validity index (CVI). To evaluate the structural validity, an exploratory factor analysis was conducted. RESULTS: The SETQ was completed by 127 medical students. Cronbach's alpha coefficient of the total questionnaire was estimated as 0.908. The factor analysis showed that the questionnaire was composed of six factors, explaining 66.14% of the total variance. The CVI and CVR indices of the individual items were also acceptable. CONCLUSION: The findings of our study showed that the Persian version of SETQ questionnaire had the acceptable reliability and validity to be used in assessing clinical tutors in different hospitals in Iran.
Clinical and pathological characteristics of 11 NSCLC patients with c-MET exon 14 skipping

Background The aim of the present study was to summarize the clinical and pathological characteristics of 11 non-small cell lung cancer (NSCLC) patients with mesenchymal-epithelial transition factor exon 14 skipping (METex14). Methods From 2018 to 2021, medical records of 763 NSCLC patients were reviewed and 11 patients carrying METex14 were identified from the Affiliated Hospital of Guangdong Medical University. Their clinical data were subsequently examined for pathological and related clinical information including symptom and diagnosis, imaging and follow-up. Results The METex14 cohort includes 9 males and 2 females and the age range was 69–85 years, with a median age of 77 years. Of the patients one is diagnosed with stage IVB lung adenosquamous carcinoma, 7 with lung adenocarcinoma (1 with stage IIIA and 6 with stage IV), and 3 with stage IV lung sarcomatoid carcinoma. 3 reached stable disease until the end of follow-up and 4 died within a year due to multiple metastases. In 4 cases, the patients received selective MET inhibitor treatment all lived longer than 7 months. There were 4 heterozygous point mutations and 1 deletion of the MET gene in this cohort, as follows: c.G3028T (p.D1010Y); c.G3028A (p.D1010N); c.G3005C (p.V1002A); c.3022C>G and MET c. 3021_3028+20del (E14). Conclusions According to the data that we collected, the incidence of NSCLC carrying METex14 is low and male outnumber female in our sample pool. Selective target therapy had better prognosis than multitargeted tyrosine kinase inhibitor (TKI) such as crizotinib or standard therapy.
Correlation between Post-COVID-19, Chemosensitive Function, Blood Group, and Oral Health-Related Quality of Life

Materials and Methods A cross-sectional information on demographics, symptomatic disease status, ABO blood group, and oral health-related quality of life (OHRQoL) was collected among 100 patients who were earlier tested positive for COVID-19 reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and were now reporting to the College of Dentistry for routine treatment after recovery. Objective evaluation of olfactory and gustatory disturbances was elicited using the Connecticut Chemosensory Clinical Research Center (CCCRC) test and gustatory function testing. Furthermore, OHRQoL was assessed using Oral Health Impact Profile (OHIP-14). Results More than half of the patients (62%) had some form of olfactory dysfunction/alteration, and 42% had poor CCCRC scores. About 14% reported ageusia, while 68% reported some form of taste alterations, and 55% reported poor OHRQoL. A statistically significant difference was reported between different ABO blood groups and subjective loss of smell (p < 0.05). The subjective loss of taste, CCCRC score, and dysgeusia were found to be independent of OHIP-14 (p > 0.05), but the taste intensity score was dependent on OHIP 14 (p < 0.05). Moreover, a majority (70.8% and 70.0%) with poor OHIP-14 scores had taste intensity scores of 3 and 4, respectively, while those with moderate (68.4% and 48.6%) OHIP-14 had scored 1 and 2, respectively. Conclusion Olfactory and gustatory disturbances were found to be a long-term feature in post-COVID-19 patients. The blood group is a predisposing factor for persistent smell alterations in post-COVID-19 patients.
Clinical Applications Measuring Arterial Stiffness: An Expert Consensus for the Application of Cardio-Ankle Vascular Index

Abstract BACKGROUND The purpose of this document is to provide clinicians with guidance, using expert consensus, to help summarize evidence and offer practical recommendations. METHODS Expert Consensus Documents are intended to provide guidance for clinicians in areas in which there are no clinical practice guidelines, especially for new and evolving tests such as arterial stiffness measurements, until any formal guidelines are released. RESULTS This expert consensus document is intended as a source of information for decision-making and to guide clinician–patient discussions in various clinical scenarios. CONCLUSIONS The goal is to help clinicians and patients make a more informed decision together.
EFFECTS OF LATTICE MISMATCH STRAIN ON Fe8N-Fe16N2 PHASE TRANSFORMATION AND AGING PROCESS

It has been debated for decades whether  ”-Fe 16 N 2 has a giant saturation magnetization, which couldn’t be predicted by the traditional band magnetic theory. Because of a lot of previous inconsistent research results in the past 40 years,  ”-Fe 16 N 2 has been regarded as a debatable mystery material in magnetic research community. Recently, Wang’s group has successfully rationalized a partially localized 3d electron model based on the first principles calculation and predicted the existence of the giant saturation magnetization in  ”-Fe 16 N 2 . Furthermore, we have synthesized FeN thin films with partially ordered  ”-Fe 16 N 2 phase on GaAs substrate with Fe as the underlayer. Our repeatable experimental results proved the existence of giant saturation magnetization of partially ordered  ”-Fe 16 N 2 phase. However, there has been a critical question on this topic for any experimentalist to answer, which has actually bothered magnetic researchers for almost four decades. Why did most experimental research groups not succeed to report the giant saturation magnetization value even with their fabricated FeN films with observed  ”-Fe 16 N question has answered in this MS thesis work. The effect of the initial strain on the phase transformation between Fe 8 N and Fe 16 N 2 , which is caused by the lattice mismatch between the layer and its growth template, was investigated. A model was proposed, based on the
Corrigendum: Measuring Uncertainty and Its Impact on the Economy

Abstract Carriero, Clark, and Marcellino (2018, CCM2018) used a large BVAR model with a factor structure to stochastic volatility to produce an estimate of time-varying macroeconomic and financial uncertainty and assess the effects of uncertainty on the economy. The results in CCM2018 were based on an estimation algorithm that has recently been shown to be incorrect by Bognanni (2022) and fixed by Carriero et al. (2022). In this corrigendum we use the algorithm correction of Carriero et al. (2022) to correct the estimates of CCM2018. Although the correction has some impact on the original results, the changes are small and the key findings of CCM2018 are upheld.
Draft Genome Sequence of Campylobacter jejuni ST-508 Strain Shizu21005, Isolated from an Asymptomatic Food Handler in Japan, 2021

Here, we report a draft genome sequence of Campylobacter jejuni strain Shizu21005, isolated from a food handler with no symptoms in Japan on March 2021. Its genome size was 1,656,785 bp, with 2 rRNAs, 35 tRNAs, and a coverage of 330×. ABSTRACT Here, we report a draft genome sequence of Campylobacter jejuni strain Shizu21005, isolated from a food handler with no symptoms in Japan on March 2021. Its genome size was 1,656,785 bp, with 2 rRNAs, 35 tRNAs, and a coverage of 330×.
Access to Early Care and Education in Rural Communities: Implications for Children’s School Readiness

This study links county-level early care and education (ECE) program, economic, and demographic data to child-level data from the Early Childhood Longitudinal Study-Kindergarten Cohort of 2010–2011 to examine geographic variation in ECE program participation and provision. We find that public ECE programs, particularly Head Start, occupy a larger role in nonmetropolitan communities than in metropolitan areas. By contrast, children in rural counties are less likely to attend private center-based ECE, and nonprofit childcare program expenditures in rural areas lag. We also find rural-metropolitan differences in school readiness diminish when geographic characteristics are controlled. Results suggest that county-level context and state-level policy features shape children’s early experiences, and that public ECE investments are key in narrowing disparities in ECE attendance and in children’s outcomes.
Structural and environmental predictors of tricolored bat presence and abundance in Texas caves

The identification of bat colonies is essential to conserve and manage these globally threatened mammals. Caves offer potential roosting locations (hibernacula) to hibernating bat species; however, identifying regions where bat-occupied caves exist can be time-consuming. In Texas, caves are often on privately owned land, creating difficulties for accessing and managing potential hibernacula. The tricolored bat (Perimyotis subflavus), a species susceptible to white-nose syndrome, hibernates in caves in the winter in Texas. We sought to identify and quantify site-specific structural and environmental features that influence the presence and abundance of overwintering tricolored bats. We surveyed caves for bats and recorded environmental and structural features of 116 caves January–February 2016, December–February 2016–2017, January–February 2018, and December–February 2018–2019. We used a zero-inflated Poisson regression to identify which features best explained the presence and abundance of tricolored bats. We found that bat presence increased as cave length decreased, and as Normalized Difference Vegetation Index (NDVI) and external vapor pressure deficit increased. Bat abundance increased as number of portals, cave length, NDVI, and external temperature increased. Combining surface data with subsurface features can assist with identifying specific karst regions and known caves within those regions for survey and management efforts.