Miracle-dz/UniFAR-FTUs huggingface dataset:
First Principles Calculations on the Stoichiometric and Defective (101) Anatase Surface and Upon Hydrogen and H2Pc Adsorption: The Influence of Electronic Exchange and Correlation and of Basis Set Approximations

Anatase TiO2 provides photoactivity with high chemical stability at a reasonable cost. Different methods have been used to enhance its photocatalytic activity by creating band gap states through the introduction of oxygen vacancies, hydrogen impurities, or the adorption of phthalocyanines, which are usually employed as organic dyes in dye-sensitized solar cells. Predicting how these interactions affect the electronic structure of anatase requires an efficient and robust theory. In order to document the efficiency and accuracy of commonly used approaches we have considered two widely used implementations of density functional theory (DFT), namely the all-electron linear combination of atomic orbitals (AE–LCAO) and the pseudo-potential plane waves (PP–PW) approaches, to calculate the properties of the stoichiometric and defective anatase TiO2 (101) surface. Hybrid functionals, and in particular HSE, lead to a computed band gap in agreement with that measured by using UV adsorption spectroscopy. When using PBE+U, the gap is underestimated by 20 % but the computed position of defect induced gap states relative to the conduction band minimum (CBM) are found to be in good agreement with those calculated using hybrid functionals. These results allow us to conclude that hybrid functionals based on the use of AE–LCAO provide an efficient and robust approach for predicting trends in the band gap and the position of gap states in large model systems. We extend this analysis to surface adsorption and use the AE–LCAO approach with the hybrid functional HSED3 to study the adsorption of the phthalocyanine H2Pc on anatase (101). Our results suggest that H2Pc prefers to be adsorbed on the surface Ti5c rows of anatase (101), in agreement with that seen in recent STM experiments on rutile (110).
Neck Pain: Revision 2017.

The Orthopaedic Section of the American Physical Therapy Association (APTA) has an ongoing effort to create evidence-based practice guidelines for orthopaedic physical therapy management of patients with musculoskeletal impairments described in the World Health Organization's International Classification of Functioning, Disability, and Health (ICF). The purpose of these revised clinical practice guidelines is to review recent peer-reviewed literature and make recommendations related to neck pain. J Orthop Sports Phys Ther. 2017;47(7):A1-A83. doi:10.2519/jospt.2017. 0302.
Joint modeling of multivariate hearing thresholds measured longitudinally at multiple frequencies

ABSTRACT Pure-tone thresholds are used to estimate hearing acuity and, when measured longitudinally, can characterize age-related changes in hearing. Measured at multiple-frequencies, multiple-irregular time points, for right and left ears, these longitudinal studies of age-related hearing loss produce data of inherent complexity due to: 1) multivariate outcomes at different frequencies; 2) longitudinal measurements taken at subject-specific time intervals; and 3) inter-ear correlations due to clustering and nesting. To address limitations in existing methods, we propose a multivariate generalized linear mixed model (mGLMM) and assess its performance. We demonstrate its application using a unique dataset from a cohort study of age-related hearing loss.
Neural activities are unfavorable for the prognosis of ovarian cancer through mRNA expression analysis.

AIM Ovarian cancer (OC) is the leading lethal gynecological cancer in women worldwide. Understanding the molecular mechanism of OC is very important for the identification of highly sensitive biomarkers for its prognosis. METHODOLOGY We detected prognostic-related mRNA of OC in OncoLnc database. The main features between the unfavorable and favorable prognostic OC mRNAs were analyzed and Kyoto Encyclopedia of Genes and Genomes pathway enrichment as well as correlation analysis was conducted in our study. CONCLUSION Our findings suggest that neural activities can promote OC progression, indicating poor prognosis, among which axon guidance functions most significantly govern the main neural activities, followed by neurogenesis and angiogenesis. Four neural genes (NTN1, UNC5B, EFNB2 and EFNA5) could serve as promising biomarkers and therapeutic targets for precision medicine to treat OC patients.
The interplay of polygenic plasticity and adrenocortical activity as sources of variability in pathways among family adversity, youth emotional reactivity, and psychological problems

Abstract This study examined the interplay between a polygenic composite and cortisol activity as moderators of the mediational pathway among family adversity, youth negative emotional reactivity to family conflict, and their psychological problems. The longitudinal design contained three annual measurement occasions with 279 adolescents (Mean age = 13.0 years) and their parents. Latent difference score analyses indicated that observational ratings of adversity in interparental and parent–child interactions at Wave 1 predicted increases in a multimethod, multi-informant assessment of youth negative emotional reactivity to family conflict from Waves 1 to 2. Changes in youth negative emotional reactivity, in turn, predicted increases in a multi-informant (i.e., parents, adolescent, and teacher) assessment of psychological problems from Waves 1 to 3. Consistent with differential susceptibility theory, the association between family adversity and negative emotional reactivity was stronger for adolescents who carried more sensitivity alleles in a polygenic composite consisting of 5-HTTLPR, DRD4 VNTR, and BDNF polymorphisms. Analyses of adolescent cortisol in the period surrounding a family disagreement task at Wave 1 revealed that overall cortisol output, rather than cortisol reactivity, served as an endophenotype of the polygenic composite. Overall cortisol output was specifically associated with polygenic plasticity and moderated the association between family adversity and youth negative emotional reactivity in the same for better or for worse manner as the genetic composite. Finally, moderator-mediated-moderation analyses indicated that the moderating role of the polygenic plasticity composite was mediated by the moderating role of adolescent cortisol output in the association between family adversity and their emotional reactivity.
A Meta-Analysis of the Efficacy of Case Management for Substance Use Disorders: A Recovery Perspective

Background: Case management is a client-centered approach to improve the coordination and continuity of service delivery, especially for persons with substance use disorders (SUD) and multiple and complex support needs. This intervention supports individuals by helping them identify needed services, facilitate linkage with services, and promote participation and retention in services. However, it is questionable whether case management is equally effective in promoting recovery and aspects of personal functioning. The objective was to conduct an updated meta-analysis and to assess whether case management was more effective than treatment as usual (TAU) among persons with SUD for improving treatment-related (e.g., successful linkage with and retention in treatment) as well as personal functioning outcomes (e.g., substance use). Methods: This meta-analysis focuses on randomized controlled trials (RCTs) that included persons with alcohol or drug use disorders and compared case management with TAU. To be eligible, interventions had to meet core case management functions as defined in the literature. We conducted searches of the following databases to May 2017: the Cochrane Drugs and Alcohol Specialized Register, CENTRAL, PubMed, Embase, CINAHL, and Web of Science. Also, reference lists of retrieved publications were scanned for relevant (un)published studies. Results: The overall effect size for case management compared to TAU across all outcome categories and moments was small and positive (SMD = 0.18, 95% CI 0.07–0.28), but statistically significant. Effects were considerably larger for treatment tasks (SMD = 0.33, 95% CI 0.18–0.48) than for personal functioning outcomes (SMD = 0.06, 95% CI −0.02 to 0.15). The largest effect sizes were found for retention in substance abuse treatment and linkage with substance abuse services. Moderator effects of case management models and conditions were assessed, but no significant differences were observed. Conclusions: The primary results from earlier meta-analyses were supported: case management is more effective than TAU conditions for improving outcomes, but this effect is significantly larger for treatment-related tasks than for personal functioning outcomes. Case management can be an important supplement to available services for improving linkage and retention, although further research is needed to assess its potential for supporting recovery from a longitudinal perspective.
Seroprevalence of Hepatitis A and Hepatitis E Viruses Among Blood Donors in North of Iran

Background and Aim: Hepatitis A virus (HAV) and hepatitis E virus (HEV) are both transmitted by the fecal-oral route and are known as leading causes of acute viral hepatitis in the world, especially in developing countries. There is a lack of updated data on HAV and HEV seroprevalence in the north of Iran. This study aimed to determine the seroprevalence of HAV and HEV among blood donors in Babol, Iran. Materials and Methods: A cross-sectional study was performed in 2018 on 491 blood donors referred to the Babol Blood Transfusion Center. The serum samples were tested for anti-HAV and anti-HEV IgG using the enzyme-linked immunosorbent assay (ELISA). Results: The mean age of blood donors was 40.92 ± 9.86 years. An anti-HAV antibody was found in 385 (78.4%), and an anti-HEV antibody was detected in 8 (1.6%) blood donors. The seroprevalence of HAV was a significant correlation to age, marital and educational status ( P <0.001). But there was no significant correlation between anti-HEV and all of our study's information factors ( P >0.05). Conclusion: This study showed that the incidence of HAV in the age group of <33 years is low, and the incidence of HEV has not changed compared to the past and HEV was lower than in other regions in Iran, and it needs more investigation in the north of Iran to obtain detailed information in anti-HEV seroprevalence. Hepatitis A and Hepatitis Viruses Among
Sliding Mode Control of Manipulator Based on Improved Reaching Law and Sliding Surface

Aiming at the problem of convergence speed and chattering in sliding mode variable structure control of manipulator, an improved exponential reaching law and nonlinear sliding surface are proposed, and the Lyapunov function is used to analyze its stability. According to the dynamic model of the 6-DOF UR5 manipulator and the proposed reaching law and sliding surface, the corresponding control scheme is designed. The control performance of the proposed control scheme is verified by tracking the end trajectory of the manipulator on the MATLAB and CoppeliaSim robot simulation platform. The experimental results show that the proposed control scheme can not only significantly improve the convergence speed and make the system converge quickly, but also can effectively reduce the chattering of the system. Even in the presence of disturbance signals, fast and stable tracking can be achieved while ensuring the robustness of the system, and the chattering of the robotic arm system can be weakened to a certain extent. Compared with the classical control method based on the computational torque method and the traditional sliding mode control scheme based on the exponential reaching law, the proposed scheme has certain advantages in terms of tracking accuracy, convergence speed, and reducing system chattering, and effectively improves the overall control performance of the system.
Sound Event Detection in the DCASE 2017 Challenge

Each edition of the challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) contained several tasks involving sound event detection in different setups. DCASE 2017 presented participants with three such tasks, each having specific datasets and detection requirements: Task 2, in which target sound events were very rare in both training and testing data, Task 3 having overlapping events annotated in real-life audio, and Task 4, in which only weakly labeled data were available for training. In this paper, we present three tasks, including the datasets and baseline systems, and analyze the challenge entries for each task. We observe the popularity of methods using deep neural networks, and the still widely used mel frequency-based representations, with only few approaches standing out as radically different. Analysis of the systems behavior reveals that task-specific optimization has a big role in producing good performance; however, often this optimization closely follows the ranking metric, and its maximization/minimization does not result in universally good performance. We also introduce the calculation of confidence intervals based on a jackknife resampling procedure to perform statistical analysis of the challenge results. The analysis indicates that while the 95% confidence intervals for many systems overlap, there are significant differences in performance between the top systems and the baseline for all tasks.
Accepted but Unacceptable: Peripheral IV Catheter Failure

Peripheral intravenous (IV) catheter insertion, the most common invasive hospital procedure performed worldwide, is associated with a variety of complications and an unacceptably high overall failure rate of 35% to 50% in even the best of hands. Catheter failure is costly to patients, caregivers, and the health care system. Although advances have been made, analysis of the mechanisms underlying the persistent high rate of peripheral IV failure reveals opportunities for improvement.
GACSNet: A Lightweight Network for the Noninvasive Blood Glucose Detection

ABSTRACT Diabetes is a disease that requires long-term monitoring, and noninvasive glucose detection effectively reduces patient self-monitor resistance. Traditional noninvasive blood glucose methods are limited by many aspects, such as equipment, environment, and safety, which are not suitable for practical use. Aiming at this problem, propose a lightweight network called Group Asymmetric Convolution Shuffle Network (GACSNet) for noninvasive blood glucose detection: use infrared imaging to acquire human metabolic heat and construct a dataset, combine asymmetric convolution with channel shuffle unit, the novel convolution neural network is designed, and extract metabolic heat and cool-heat deviation features in thermal imaging. The test set was analyzed and compared using Clarke’s error grid. The current neural network showed an mean absolute percentage error of 9.17%, with a training time of 2 min 54 s and a inference time of 1.35 ms, which was superior to several traditional convolution neural networks’ accuracy, training cost, and real-time performance in the blood glucose region 3.9–9 mmol/L, and provided new insights into noninvasive blood glucose detection.
The Effect of School Culture on Teachers' Organizational Commitment

The aim of this research is to reveal the relations between the school culture and the teachers’ organizational commitment in terms of some demographic variables. Correlational survey and descriptive models were used in the study. The population of the research consists of teachers working in the central districts of Antalya in the 2020-2021 academic year. Its sampling consists of 198 teachers determined with purposive sampling methods. In the study, the "Organizational Commitment Scale" developed by Meyer and Allen (1996) and the "Organizational Culture Scale" developed by Terzi (2005) were used as data collection tools. The data collection tool used to determine the level of organizational commitment is a 5-point Likert- type scale consisting of 18 items in 3 sub-dimensions [Affective (6 items, Continuance (6 items) and Normative (6 items)]. The data collection tool used to determine school culture is a 5-point Likert scale consisting of 29 items in 4 sub-dimensions [Support (8 items), Success (6 items), Bureaucratic (9 items) and Duty (6 items)]. In this study, the Cronbach alpha reliability coefficient for the whole organizational commitment scale was calculated as . 84; The Cronbach alpha reliability coefficient for the whole school culture scale was calculated as . 89. For the analysis of data, frequency, percentage, arithmetic mean, standard deviation, unpaired t test, ANOVA, Pearson correlation and hierarchical multiple linear regression analysis were applied. As a result of the research, it has been observed that the average of women of the school culture in all dimensions is higher than that of men. It has been concluded that male teachers show higher commitment than female teachers in normative commitment, which is one of the dimensions of organizational commitment. It has been concluded that teachers with more than 11 working years have higher commitment than teachers with 0-5 working years in the affective commitment dimension, which is one of the organizational commitment dimensions. It has also been concluded that the dimensions of success, duty and bureaucracy culture are important predictors of affective commitment, bureaucratic culture dimension is an important predictor of continuance and success culture dimension is an important predictor of normative commitment.
Multi-objective Optimization of Joint Power Allocation and Splitting Control for SWIPT-enabled NOMA Systems

In this paper, we investigate joint power allocation and splitting control in a SWIPT-enabled NOMA Systems applied with power splitting technique, with an aim to optimize the transmission rate and the total harvested energy simultaneously whilst satisfying the minimum transmission rate and minimum harvested energy of each user. These two conflicting objectives make the formulated optimization problem a constrained multi-objective optimization (MOO) problem, which is difficult to solve. To deal with this, we define a new objective function by summing the weighted values of the transmission rate achieved by information decoding (ID) and the transformed throughput from energy harvesting (EH) and transform the original MOO problem into a single-objective optimization problem. To tackle the formulated nonconvex problem, we decouple the optimization problem into two convex subproblems and solve them iteratively. Numerical results demonstrate that significant performance gain can be achieved by adopting the proposed algorithm.
Comprehensive Review of Polymer and Polymer Gel Treatments for Natural Gas-Related Conformance Control

Conformance problems often exist in natural gas-related activities, resulting in excessive water production from natural gas production wells and/or excessive natural gas production from oil production wells. Several mechanical and chemical solutions were reported in the literature to mitigate the conformance problems. Among the chemical solutions, two classes of materials, namely polymer gels and water-soluble polymers, have been mostly reported. These systems have been mainly reviewed in several studies for their applications as water shutoff treatments for oil production wells. Natural gas production wells exhibit different characteristics and have different properties which could impact the performance of the chemical solutions. However, there has not been any work done on reviewing the applications of these systems for the challenging natural gas-related shutoff treatments. This study provides a comprehensive review of the laboratory evaluation and field applications of these systems used for water control in natural gas production wells and gas shutoff in oil production wells, respectively. The first part of the paper reviews the in-situ polymer gel systems, where both organically and inorganically crosslinked systems are discussed. The second part presents the water-soluble polymers with a focus on their disproportionate permeability reduction feature for controlling water in gas production wells. The review paper provides insights into the reservoir conditions, treatment design and intervention, and the success rate of the systems applied. Furthermore, the outcomes of the paper will provide knowledge regarding the limitations of the existing technologies, current challenges, and potential paths forwards.
Attention-Deficit Hyperactivity Disorder in Pediatric Patients With Type 1 Diabetes Mellitus: Clinical Outcomes and Diabetes Control.

OBJECTIVE To assess the interactions between attention-deficit hyperactivity disorder (ADHD) and type 1 diabetes mellitus (T1DM), including diabetes outcomes and patients' general health status. METHODS Primary care and hospital records of patients aged 5 to 18 years with T1DM were analyzed using the Leumit Health Services database. The diabetic control and general health of patients with T1DM and ADHD diagnoses were compared with those of patients with T1DM alone in a cross-sectional study. The ADHD group included patients with ADHD diagnosis who purchased at least 3 prescriptions of psychostimulant agents and nootropics. Parameters including demographic, clinical, and laboratory data were collected and assessed. RESULTS The study included 230 patients with T1DM; of them, 24 had ADHD (10.4%). Twenty of 24 patients with ADHD (83.3%) had hemoglobin A1C of 9% and higher versus 87 of 206 patients with diabetes alone (43.3%) (p < 0.05). The ADHD group had significantly higher annual emergency department admissions [15/24 (62.5%) vs 77/201 (37.4%); p < 0.05], higher annual hospitalization rates [18/24 (75%) vs 78/206 (37.9%); p < 0.05], and longer hospitalization stays (mean, 2.21 vs 0.65 days; p < 0.05). The total medical annual costs per patient were twice as high in the ADHD group (p < 0.05). In multivariate analysis, these unfavorable outcomes of the ADHD group were preserved. CONCLUSION In this study, having ADHD and T1DM comorbidity was associated with a higher complications rate and poorer diabetes control in comparison to having T1DM alone. Although further research is needed, our data suggest that this group requires special care and attention of the medical staff.
Probability and Finance: It's Only a Game!

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