Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Workplace Spirituality, Empathic Concern and Organizational Politics in Employee Wellbeing: A Study on Police Personnel

Employee wellbeing as a central aspect of organizational growth has been widely regarded and accepted. Therefore, a considerable growth in the number of researches focusing on employee wellbeing has been comprehended in recent years. Employee wellbeing characterizes the individual’s own cognitive interpretation of his/her life at work. The present study made an attempt to examine how workplace spirituality, empathic concern and organizational politics influences employee wellbeing. It was hypothesized that empathic concern mediates the relationship between workplace spirituality and employee wellbeing while organizational politics act as a moderator in this relationship. A survey was conducted on 253 employees working in Uttar Pradesh Police department (Uttar Pradesh, India). The results obtained revealed that workplace spirituality, empathic concern and employee wellbeing carries a positive association among them whereas these variables were found to be negatively correlated with organizational politics. Results also depicted that empathic concern significantly mediates between workplace spirituality and employee wellbeing. Further, moderated mediation analysis confirmed employee wellbeing as a function of workplace spirituality, empathic concern and organizational politics. The present study has put forward several practical implications for business practitioners and research directions for academicians, emphasizing upon the need to investigate the comprehensive impact of employee wellbeing in organization and the society as a whole.
Anti-factor Xa Activity Is Not Associated With Venous Thromboembolism in Critically Ill Patients Receiving Enoxaparin for Thromboprophylaxis: A Retrospective Observational Study

Background Anti-factor Xa activity has been suggested as a surrogate parameter for judging the effectiveness of pharmacological thromboprophylaxis with low molecular weight heparins in critically ill patients. However, this practice is not supported by evidence associating low anti-factor Xa activity with venous thromboembolism. Methods We performed a retrospective observational study including 1,352 critically ill patients admitted to 6 intensive care units of the Medical University of Vienna, Austria between 01/2015 and 12/2018. Included patients received prophylactically dosed enoxaparin (≤100 IU/kg body weight per day). We analyzed median peak, 12-h trough and 24-h trough anti-factor Xa activity per patient and compared anti-factor Xa activity between patients without vs. with venous thromboembolic events. Results 19 patients (1.4%) developed a total of 22 venous thromboembolic events. We did not observe a difference of median (IQR) anti-factor Xa activity between patients without venous thromboembolism [peak 0.22 IU/mL (0.14–0.32); 12-h trough 0.1 IU/mL (<0.1–0.17), 24-h trough < 0.1 IU/mL (<0.1– <0.1)] vs. patients with venous thromboembolism [peak 0.33 IU/mL (0.14–0.34); 12-h trough 0.12 IU/mL (<0.1–0.26); 24-h trough < 0.1 IU/mL (<0.1–<0.1)]. Conclusion Patients who developed venous thromboembolism had anti-factor Xa activities comparable to those who did not suffer from venous thromboembolism.
Significant Succession of Intestinal Bacterial Community and Function During the Initial 72 Hours of Acute Pancreatitis in Rats

Acute pancreatitis (AP) is followed by structural and functional changes in the intestine, resulting from microbiome dysbiosis. However, it remains unclear how gut microbiome changes within the initial 72h of onset. In this study, severe acute pancreatitis (SAP), mild acute pancreatitis (MAP), and sham operation (SO) were replicated in rat models. 16S ribosomal RNA gene sequencing was used to explore the gut bacteria community. The predicted Cluster of Orthologous Genes (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways were associated with the 16S rRNA profiles. Compared to the SO group, significant community succession was found during the initial 72h in AP group. At 72 h after AP induction, the Firmicutes/Bacteroidetes (F/B) ratios were significantly different, with the highest ratio in SAP group and the lowest in MAP group. Lactobacillus was the most abundant genus, but it nearly disappeared in SAP rats at 72 h. Clostridiaceae 1 and Clostridium sensu stricto 1 were significantly enriched in AP group. Bacteroidales S24-7 and Bacteroidales S24-7 group norank were enriched in MAP group, while Collinsella, Morganella, and Blautia were enriched in SAP group. Lactobacillus was significantly correlated with nine COGs. Nine COGs showed significant differences between AP group and SO group. Moreover, four COGs showed significant differences between the MAP and SAP groups. KEGG Level_3 pathways propanoate metabolism (Ko00640) in AP group was significantly higher than that in SO group. The aspartate‒ammonia ligase and four KEGG orthology terms of the AP group were lower than that in the SO group, respectively. All these results suggest that the intestinal bacterial community structure and function was changed during the initial 72h in AP rats. The intestinal F/B ratio and the relative abundance of Lactobacillus could be potential markers for early diagnosis of MAP and SAP. The genus Clostridium sensu stricto 1 was the most enriched genus in AP, and may be an important marker for AP.
CTR DaPP: A Python Application for Design and Path Planning of Variable-strain Concentric Tube Robots

In this work, we present Concentric Tube Robot Design and Path Plan (CTR DaPP), a Python application that utilizes the recently introduced Piecewise Variable Strain approach for the design and path planning of concentric tube robots (CTRs). The application provides a modular platform for implementing and testing combinations of path planners and design optimization algorithms. We apply the Randomly Exploring Rapid Tree and Nelder-Mead algorithms to test the ‘follow-the-leader’ behavior and demonstrate the potential benefits of variable strain tubes in path planning problems. This platform, paired with the variable-strain model, opens up new research avenues to investigate follow-the-leader behavior, elastic stability, and tube design of variable-strain CTRs through simulation.
Conversion of Gastrointestinal Somatostatin-Expressing D Cells Into Insulin-Producing Beta-Like Cells Upon Pax4 Misexpression

Type 1 diabetes results from the autoimmune-mediated loss of insulin-producing beta-cells. Accordingly, important research efforts aim at regenerating these lost beta-cells by converting pre-existing endogenous cells. Following up on previous results demonstrating the conversion of pancreatic somatostatin delta-cells into beta-like cells upon Pax4 misexpression and acknowledging that somatostatin-expressing cells are highly represented in the gastrointestinal tract, one could wonder whether this Pax4-mediated conversion could also occur in the GI tract. We made use of transgenic mice misexpressing Pax4 in somatostatin cells (SSTCrePOE) to evaluate a putative Pax4-mediated D-to-beta-like cell conversion. Additionally, we implemented an ex vivo approach based on mice-derived gut organoids to assess the functionality of these neo-generated beta-like cells. Our results outlined the presence of insulin+ cells expressing several beta-cell markers in gastrointestinal tissues of SSTCrePOE animals. Further, using lineage tracing, we established that these cells arose from D cells. Lastly, functional tests on mice-derived gut organoids established the ability of neo-generated beta-like cells to release insulin upon stimulation. From this study, we conclude that the misexpression of Pax4 in D cells appears sufficient to convert these into functional beta-like cells, thus opening new research avenues in the context of diabetes research.
Design and Characterisation of Cross-sectional Geometries for Soft Robotic Manipulators with Fibre-reinforced Chambers

Fluid elastomer actuators are a prevalent design paradigm in the field of soft robotics. To prevent the elastomer from ballooning and increase the actuation consistency, a fibre-reinforced design is commonly utilised, with the effect of the fibre angle on the robot's performance well established. However, the impact of the geometry of the fibre-reinforced chambers has not been tested. This paper explores two chamber geometries, circular and semi-circular, using measurements in alignment with minimally invasive surgery (MIS) to determine if there is a difference in performance. The fabrication process of robots with different chamber geometries is first streamlined, then the characterisation of each robot is experimentally identified. The results show the chamber geometry plays an important role in affecting the performance of the robots, e.g., with a stiffness variation greater than 20% between the two designs.
A Self-sensing Inverse Pneumatic Artificial Muscle

In recent years, the inverse pneumatic artificial muscles attained great attention in soft robotics, especially for the wider motion range compared to traditional positive pneumatic actuators. Besides self-sensing is a recognized highly desirable property for soft actuators to enable proprioception and to facilitate the soft robots control, a self-sensing strategy for a soft inverse pneumatic muscle was still missing. In this paper, we present the first self-sensing inverse pneumatic artificial muscle in which the reinforcing but compliant element that guides the actuator motion during actuation has not only a mechanical function but, being also electrically conductive, it endows the actuator with self-sensing. Here, the actuator design and manufacturing are described, together with an electro-mechanical characterization. In addition, we demonstrate its self-sensing capability in a dynamic setting, by predicting the actuator strain from its electric resistance variation, through a calibration model.
Multi-Concept Representation Learning for Knowledge Graph Completion

Knowledge Graph Completion (KGC) aims at inferring missing entities or relations by embedding them in a low-dimensional space. However, most existing KGC methods generally fail to handle the complex concepts hidden in triplets, so the learned embeddings of entities or relations may deviate from the true situation. In this article, we propose a novel Multi-concept Representation Learning (McRL) method for the KGC task, which mainly consists of a multi-concept representation module, a deep residual attention module, and an interaction embedding module. Specifically, instead of the single-feature representation, the multi-concept representation module projects each entity or relation to multiple vectors to capture the complex conceptual information hidden in them. The deep residual attention module simultaneously explores the inter- and intra-connection between entities and relations to enhance the entity and relation embeddings corresponding to the current contextual situation. Moreover, the interaction embedding module further weakens the noise and ambiguity to obtain the optimal and robust embeddings. We conduct the link prediction experiment to evaluate the proposed method on several standard datasets, and experimental results show that the proposed method outperforms existing state-of-the-art KGC methods.
Cross-Model Conjunctive Queries over Relation and Tree-structured Data (Extended)

Conjunctive queries are the most basic and central class of database queries. With the continued growth of demands to manage and process the massive volume of different types of data, there is little research to study the conjunctive queries between relation and tree data. In this paper, we study of Cross-Model Conjunctive Queries (CMCQs) over relation and tree-structured data (XML and JSON). To efficiently process CMCQs with bounded intermediate results, we first encode tree nodes with position information. With tree node original label values and encoded position values, it allows our proposed algorithm CMJoin to join relations and tree data simultaneously, avoiding massive intermediate results. CMJoin achieves worst-case optimality in terms of the total result of label values and encoded position values. Experimental results demonstrate the efficiency and scalability of the proposed techniques to answer a CMCQ in terms of running time and intermediate result size.
Inequity in insurance coverage for prescription drugs in New Brunswick, Canada

To describe the extent to which New Brunswick residents reported having drug insurance coverage supplementary to Canadian Medicare; to examine associations between socioeconomic and demographic characteristics, health status, language identity, and having reported such coverage; and to document any changes in coverage associated with the introduction of the New Brunswick Drug Plan in 2014. We used repeated cross-sectional data for New Brunswick from eight cycles of the Canadian Community Health Survey from 2007 to 2017 and undertook logistic regression analysis. We found statistically significant, substantial and policy-relevant socioeconomic differences in the reporting of prescription drug insurance coverage among those 25–64 years and those ≥ 65 years of age, and an increasing reliance on private drug insurance over time. We found that individuals in the second decile of household income were particularly vulnerable to reporting neither public nor private drug coverage. The introduction of the New Brunswick Drug Plan in 2014 does not appear to have led to increased public drug coverage; however, from 2014, the decreasing trend in public drug coverage appears to have ceased. Those who reported lower health status usually had lower odds of reporting private drug coverage but higher odds of reporting public drug coverage. Driven by differences in private coverage, we found that relative to anglophones, francophones were less likely to report any drug coverage. Our findings emphasize the shortcomings of drug insurance systems such as that introduced in New Brunswick and substantiate calls for a universal drug program. New Brunswick’s increasing reliance on private drug insurance is of concern and warrants additional research.
A CPT-based model to predict the installation torque of helical piles in sand

ABSTRACT Helical piles present a possible alternative to driven displacement piles in the offshore sector. While this type of pile is used widely in the onshore environment, design methods tend to be highly empirical and there is considerable uncertainty around the bearing resistance and the installation resistance required to install large diameter piles necessary to resist uplift. The paper combines a theoretical model for estimating torque resistance from the literature with a cone penetration test (CPT)-based model originally developed to estimate the axial resistance of helical piles and to predict the installation torque required to install piles in sand. The model appears to be able to capture the general installation behavior of piles across a range of scales and in various sand states.
CORRELATION OF MANUS RADIOGRAPH IMAGE TEXTURE VALUE WITH BONE MINERAL DENSITY LUMBAR SPINE VALUE

Osteoporosis or bone loss is a chronic disease characterized by low bone mass accompanied by changes in micro-architecture of the bone and a decrease in the quality of bone tissue that can cause bone fragility, so that bones are easily cracked or even fractured. Osteoporosis is diagnosed by measuring bone mineral density using DXA (dual-energy X-rayabsorptiometry). Treatment with device this expensive and not widely available. So it is necessary to find an alternative method of detecting a cheap one. This study aims as an initial study to find an alternative way of early detection of osteoporosis by looking for the texture characteristics of the human bone. Sample in This study took 19 people with inclusion criteria including postmenopausal women who declared healthy, not broken bone and has no skeletal abnormalities since birth. Sample measured density mineral bone(BMD) or the degree of osteoporosis with DXA. Then an X-ray is done to get bone image. The stages of the research are: 1) preprocessing X-ray image of the human bone; 2) determine the value of the texture of the human bone image with gray level method co-occurrence matrix 3) test connection between the value of the human bone texture image with BMD lumbar spine. The results of the correlation test show that there is correlation between the value of human bone texture and BMD of the lumbar spine to characterize variance and significantly statistics (P<0.05).
Clinical profile and management of chronic pancreatitis in tertiary care centre

Background: Chronic pancreatitis is a multifactorial disease, with a wide range of symptoms and geographic variation. Aim of this study is to study clinical profile and management of chronic pancreatitis with respect to demography, clinical findings, lab parameters, imaging investigations and management modalities.Methods: A cross sectional observational study was conducted which included the patients admitted in tertiary care centre presenting with clinical diagnosis of chronic pancreatitis. The study was conducted over period of 2 years from November 2019 to October 2021. A total sample size of 71 patients were included.Results: In the study, it was observed that majority of patients in age group of 51-60 years which were male (76.06%). Alcoholism (43.66%) was most common etiology and presented with pain in abdomen (85.92%). In the present study, majority of patients were managed conservatively (43.66%). The distribution of patients according to pain relief by various management showed that majority of get relief of pain by surgery (69.23%). Conclusions: Chronic pancreatitis is progressive inflammatory disease. Alcoholic pancreatitis being most common etiology. Pain is most common presenting symptom. CT-SCAN abdomen most useful in confirming diagnosis in our set up. Pseudocyst being common complication seen. Surgery gives relief of pain in most of the cases.
Preparation of activated carbon from sludge by ‘double green activation’ and adsorption capacity for Congo red dye

The sludge was transformed into activated carbon (SAC) by the green activation method. Citric acid (C 6 H 8 O 7 ) and potassium ferrate (K 2 FeO 4 ) were used as different activators, and four kinds of SAC (SAC N ; SAC CA ; SAC PF ; SAC CA-PF ) were prepared by different activator combinations. The SAC CA-PF was produced with C 6 H 8 O 7 and K 2 FeO 4 by the ‘double green activation’ method, it had the highest specific surface area (136 m 2 g –1 ) and abundant functional groups (C=O, Si–C) attached to it. The adsorption capacity of SAC CA-PF for Congo red (CR) was 98.61 mg g –1 , faster and more efficient than the other SAC. The adsorption process was well described by the Langmuir model and quasi- second-order kinetic model. The adsorption mechanism of SAC CA-PF (available on the CR surface) was attributed to various interactions, such as hydrogen bonding and electrostatic attraction. Moreover, SAC CA-PF could be regenerated by Fenton reaction, and the removal rate was still more than 80% after five cycles of used. The results indicated that the impregnation of C 6 H 8 O 7 and K 2 FeO 4 can effectively improve the adsorption efficiency of SAC, prepared by the ‘double green activation’ method. This method can be applied for carbonized sludge and dye wastewater treatment in an environment-friendly way.
Hydroxychloroquine in COVID-19: An updated systematic review with meta-analysis

Background Hydroxychloroquine is being administered among patients with COVID-19 infection in many healthcare systems across the world, considering its in vitro effect against the SARS-CoV-2 virus. In spite of several observational studies and a few randomized controlled trials, the effect of hydroxychloroquine on patients with COVID-19 infection remains unclear. We undertook this systematic review with meta-analysis to evaluate the efficacy and safety of hydroxychloroquine among patients with COVID-19 infection. Methods We searched PubMed, Embase, the Cochrane Library, Web of Science, medRxiv, and other relevant resources until August 1, 2020. We included randomized controlled trials and observational studies in which hydroxychloroquine was administered and compared to a control group. Data were extracted, and quality assessment of the studies was carried out. We evaluated symptomatic progression, mortality, viral clearance, evolution of changes on chest CT imaging, and adverse events. A fixed or random-effects model was used depending on outcome heterogeneity. compared to standard care (OR: 2.68, CI: 1.1–6.55; P = 0.03). The incidence of adverse events was significantly higher with hydroxychloroquine (OR: 5.95, CI: 2.56–13.83; p < 0.00001). Our meta-analysis does not suggest improvement in mortality, clinical progression, or negative conversion by RT-PCR among patients with COVID-19 infection who are treated with hydroxychloroquine. There was a significantly higher incidence of adverse events with hydroxychloroquine use.
The development of self-healing model with massage therapy and exercise therapy for a wrist injury

This research aims to produce a model of self-healing with massage therapy and exercise therapy for proper and effective wrist injury for the community to cure wrist injury. This research was a development research with stage: preliminary study and data collection, planning, product draft development, expert validation, product testing, revision and evaluation. The subjects of small-scale test were 5 people, subjects were large-scale test and product effectiveness test was 10 people using minimum sample size formula at FIK UNY Physical Therapy Clinic and Masase Terapi Cedera Olahraga Metode Ali Satia Graha. The instruments used to collect data were expert validation sheets, questionnaire sheets, and goniometers to measure range of movement of wrist joints. The results showed that model of self-healing with massage therapy and exercise therapy in wrist injury was valid. The results of validation of material experts and media experts were included in the high category. Product quality from small-scale tests and large-scale tests was categorized as high. The results of product effectiveness test showed a significant reduction in pain complaints, increased motion function and increased range of movement (ROM). The conclusion of this study was a model of self-healing with massage therapy and exercise therapy valid and effective for a handling wrist injury.
Fama-French Five-Factor Model Analysis on Valuation of Bank Stock Returns

: The purpose of this study was to examine the ability of the Fama-French Five-Factor Model in providing explanatory power to banking stock excess returns on the Indonesia Stock Exchange. In examining the validity of the model, this study was conducted to determine how the influence of five factors consists of market risk, book-to-market ratio, market capitalization, profitability and investment in excess return of banking stock portfolio. The test in this study uses time series data by analyzing multiple linear regression for each portfolio that is formed based on the Fama-French five-factor model. The data used in this analysis are the daily average return of the bank's stock portfolio every month, the average daily market return every month, and the interest rate of Bank Indonesia Certificate as the rate for risk-free investments every month in the period from January 2012 to December 2017. The results show that the use of variable operating profit and investment gives anomalous results to banks that have a small market capitalization. But the use of variable operating profit and investment can provide a strong explanation of the optimism and pessimism of investors, especially in banks with a large market capitalization