Miracle-dz/UniFAR-FTUs huggingface dataset:
Conflict Management Strategies And Employee Performance In Banking Sector Of Pakistan

The present study investigates the impact of conflict management practices on employee performance. Competing, collaborating, avoiding, compromising, and accommodating are taken as conflict management practices. The data has been collected from the employees of the banks in Karachi, Pakistan. A five-point Likert scale questionnaire has been used as the data collection technique. The regression analysis conducted in this research as the conceptual framework includes multiple independent variables and a single dependent variable. Moreover, the study included recent literature, i.e., from the years 2018-2021.The study found a significant positive relationship between accommodating and employee performance. Also, the study found that there is a significant positive relationship between avoiding and employee performance. Moreover, the study identified that there is a significant positive linkage between collaborating and employee performance. Likewise, the study found that there is a significant positive relationship between competing and employee performance. Lastly, the study concluded that there is a significant positive relationship between compromising and employee performance. Due to a lack of financial resources, the study was limited to collecting responses from Karachi-based banks, rendering generalizability hard. Furthermore, to evaluate correlations between the constructs, this study focused on cross-sectional data. Similarly, only bank workers were surveyed in this study. The study advised that the company should adopt conflict resolution strategies for its employees and implement proper conflict resolution processes. Staff disagreements should be resolved as soon as possible. Mechanisms for resolving staff disagreements should be implemented.
Self-Care Practices in Doctoral Nursing Students and Effects on Self-Care Practices in Doctoral Nursing Students and Effects on Educational Experience Educational Experience

Problem : Doctoral nursing students are often faced with stressors on top of their schooling, one of which is continuing to work while pursuing their education. This in combination with normal life stressors can be challenging. The purpose of this project was to survey doctoral nursing students on what their current self-care practices. Methods: An exploratory needs assessment project was created to gather data from Doctor of Nursing practice (DNP) and Doctor of Philosophy (PhD) nursing students in an urban, mid-sized, Midwestern, public university to identify current self-care practices, barriers to self-care, preference of self-care practices, and the impact these practices have on their educational experiences. Results: 50 completed surveys were completed by the doctoral nursing students. Household income as a variable is statistically significant predictive of a higher category of number of times self-care is performed a week, χ2(4) = 14.352, p = . 006. The odds of male vs female student having a higher number of times self-care practiced each week was 9.828, a statistically significant effect. The odds of a student who works in nursing education, compared to other nursing professions, having a higher number of self-care practices each week was -20.148, a statistically significant effect. Implications
‘Adapting Machine Learning And Deep Learning Approach Towards Language Identification And Sentiment Analysis Of Code-Mixed Urdu-English And Hindi-English Social Media Text ‘

Large amounts of textual data are produced by social networking sites in the form of posts, comments, reviews, and other user-generated content. This data can be useful in providing insights into public opinions, sentiments and trends and can be analyzed using Natural Language Processing techniques. This type of data is influenced by regional language text expressed in Romanized (Latin script) form. The idea of using Latin alphabet is that it allows text to be represented in a form that can be easily typed and processed by computers. Moreover, in multilingual societies people express their opinions and sentiments in a code-mixed fashion which refers to the practice of using languages or language verities mixed together in a single stretch of discourse. People often communicate with one another on social networking platforms and microblogging sites using multiple languages language varieties, a practice known as "code-mixing. ". This can be due to a variety of factors, such as the multilingual nature of many online communities, the desire to reach a wider audience, or the influence of language trends and memes. However, such informal and code-mixed textual data are under resourced in terms of labelled datasets and language models. Therefore, it is difficult to use Natural Language Processing algorithms on this type of textual data. In this work we present machine learning and deep learning approaches for word level Language Identification and Sentiment classification of Urdu-English and Hindi-English “code-mixed” text. For deep learning models we use character level and word level feature for embeddings and feature based approach for machine learning models. The paper also describes the development of “code-mixed” Urdu-English dataset from social media. The dataset was annotated for Sentiment classification and word-level Language detection.
Application of a Simulation-Based V&V Approach to Automatic Voyage Planning

Automatic route planning for seagoing vessels, generated by a shore-based service provider, should be highly reliable. Even if this route planning has to be adapted to the specifications of the ship on board, the route should always be navigable and safe. Depending on the relevant parameters such as estimated time of arrival (ETA), speed, etc., it should therefore not deviate significantly from the usual routes for tankers, ferries, etc. between two ports. In the past, the quality of the route planning carried out by the on-board navigation depended, among other things, on the experience and training of the personnel. As a result, these plans did not necessarily represent the optimal route. The automatic route generated by NAVTOR starts with the length of the route, which is intended to be as short as possible while still being fundamentally safe to navigate, thus helping to reduce CO2 emissions.
COMPARATIVE STUDY OF PLATELET RICH PLASMA (PRP) VERSUS CORTICOSTEROID INJECTION IN FUNCTIONAL OUTCOME OF CHRONIC LATERAL EPICONDYLITIS – A HOSPITAL BASED RANDOMISED TRIAL

Background: Lateral epicondylitis usually occurs in 1% to 3% of the general population. In patients who had failed conservative treatment, local injections of PRP, corticosteroids can be used. Many studies have used Platelet rich plasma and corticosteroids but there is area of debate over efficacy of one drug over other Hence this created a profound interest to carry out this study. Materials and Methods: A hospital based randomized controlled trial the study was conducted in 60 patients with a follow up period of 6 months for each patient. Patients were divided based on Block randomization. Patients were assessed for their pain and functional outcomes based on VAS and PRTEE scores at each visit. Result: Patients injected with PRP showed delayed outcomes on pain and functional score improvement whereas the steroid treated Group showed immediate improvement in pain and functional score. Recurrence was noted in one patient treated with steroid after 4 months. Both groups favoured beneficial to patients with some adverse effects on both groups. Conclusion: Both PRP and Methyl prednisolone are beneficial in treatment for lateral epicondylitis. However, no drug was found to be superior over the other based on the outcomes at final follow up.
Solution phase high repetition rate laser pump x-ray probe picosecond hard x-ray spectroscopy at the Stanford Synchrotron Radiation Lightsource

We present a dedicated end-station for solution phase high repetition rate (MHz) picosecond hard x-ray spectroscopy at beamline 15-2 of the Stanford Synchrotron Radiation Lightsource. A high-power ultrafast ytterbium-doped fiber laser is used to photoexcite the samples at a repetition rate of 640 kHz, while the data acquisition operates at the 1.28 MHz repetition rate of the storage ring recording data in an alternating on-off mode. The time-resolved x-ray measurements are enabled via gating the x-ray detectors with the 20 mA/70 ps camshaft bunch of SPEAR3, a mode available during the routine operations of the Stanford Synchrotron Radiation Lightsource. As a benchmark study, aiming to demonstrate the advantageous capabilities of this end-station, we have conducted picosecond Fe K-edge x-ray absorption spectroscopy on aqueous [FeII(phen)3]2+, a prototypical spin crossover complex that undergoes light-induced excited spin state trapping forming an electronic excited state with a 0.6–0.7 ns lifetime. In addition, we report transient Fe Kβ main line and valence-to-core x-ray emission spectra, showing a unique detection sensitivity and an excellent agreement with model spectra and density functional theory calculations, respectively. Notably, the achieved signal-to-noise ratio, the overall performance, and the routine availability of the developed end-station have enabled a systematic time-resolved science program using the monochromatic beam at the Stanford Synchrotron Radiation Lightsource.
Differences in CpG island distribution between exogenous and endogenous jaagsiekte sheep retrovirus strains

The jaagsiekte sheep retrovirus (JSRV), belonging to the betaretrovirus genus of the retroviridae family, includes both exogenous and endogenous jaagsiekte sheep retroviruses (exJSRV and enJSRV, respectively). At the proviral genome level, exJSRV and enJSRV strains have a high degree of similarity with their main variation regions being the LTR, gag, and env genes. In this study, for the first time, we investigated and compared the distribution of CpG islands between these enJSRV and exJSRV strains. Specifically, we analyzed a total of 42 full-length JSRV genomic sequences obtained from the GenBank® database to identify CpG islands in the exJSRV and enJSRV genomes using the MethPrimer software. Our results showed that the CpG islands in the two JSRV strains were mainly distributed in the LTR, gag, and env genes. In exJSRVs, 66.66% (6/9), 33.33% (3/9), and 100% (9/9) of the sequences presented at least one CpG island in LTR, gag, env genes, respectively, and for enJSRVs, 84.84% (28/33), 57.57% (19/33), and 96.96% (32/33) of the sequences presented at least one CpG island in the LTR, gag, and env genes. These findings suggested that the distribution, length, and genetic traits of CpG islands were different for the exJSRV and enJSRV strains. In future, it would be necessary to demonstrate the biological significance of CpG islands within these genes in exJSRV and enJSRV genomes. This will enhance understanding regarding the potential role of CpG islands in epigenetic regulation.
A systematic review on diagnosis and treatment of gastrointestinal diseases by magnetically controlled capsule endoscopy and artificial intelligence

Background: Magnetically controlled capsule endoscopy (MCCE) is a non-invasive, painless, comfortable, and safe equipment to diagnose gastrointestinal diseases (GID), partially overcoming the shortcomings of conventional endoscopy and wireless capsule endoscopy (WCE). With advancements in technology, the main technical parameters of MCCE have continuously been improved, and MCCE has become more intelligent. Objectives: The aim of this systematic review was to summarize the research progress of MCCE and artificial intelligence (AI) in the diagnosis and treatment of GID. Data Sources and Methods: We conducted a systematic search of PubMed and EMBASE for published studies on GID detection of MCCE, physical factors related to MCCE imaging quality, the application of AI in aiding MCCE, and its additional functions. We synergistically reviewed the included studies, extracted relevant data, and made comparisons. Results: MCCE was confirmed to have the same performance as conventional gastroscopy and WCE in detecting common GID, while it lacks research in detecting early gastric cancer (EGC). The body position and cleanliness of the gastrointestinal tract are the main factors affecting imaging quality. The applications of AI in screening intestinal diseases have been comprehensive, while in the detection of common gastric diseases such as ulcers, it has been developed. MCCE can perform some additional functions, such as observations of drug behavior in the stomach and drug damage to the gastric mucosa. Furthermore, it can be improved to perform a biopsy. Conclusion: This comprehensive review showed that the MCCE technology has made great progress, but studies on GID detection and treatment by MCCE are in the primary stage. Further studies are required to confirm the performance of MCCE.
The Cyclophilin Inhibitor Rencofilstat Decreases HCV-Induced Hepatocellular Carcinoma Independently of Its Antiviral Activity

There is an urgent need for the identification of new drugs that inhibit HCV-induced hepatocellular carcinoma (HCC). Our work demonstrates that cyclophilin inhibitors (CypIs) represent such new drugs. We demonstrate that the nonimmunosuppressive cyclosporine A (CsA) analog (CsAa) rencofilstat possesses dual therapeutic activities for the treatment of HCV infection and HCV-induced HCC. Specifically, we show that the HCV infection of humanized mice results in the progressive development of HCC. This is true for the four genotypes tested (1 to 4). Remarkably, we demonstrate that rencofilstat inhibits the development of HCV-induced HCC in mice even when added 16 weeks after infection when HCC is well established. Importantly, we show that rencofilstat drastically reduces HCC progression independently of its anti-HCV activity. Indeed, the CypI rencofilstat inhibits HCC, while other anti-HCV agents such as NS5A (NS5Ai) and NS5B (NS5Bi) fail to reduce HCC. In conclusion, this study shows for the first time that the CypI rencofilstat represents a potent therapeutic agent for the treatment of HCV-induced HCC.
Hedgehog Activation for Enhanced Rotator Cuff Tendon-to-Bone Healing

Background: Rotator cuff repair is a common orthopaedic procedure, yet the rate of failure to heal after surgery is high. Repair site rupture is due to poor tendon-to-bone healing and lack of regeneration of the native fibrocartilaginous enthesis. During development, the enthesis is formed and mineralized by a pool of progenitors activated by hedgehog signaling. Furthermore, hedgehog signaling drives regenerative enthesis healing in young animals, in contrast to older animals, in which enthesis injuries heal via fibrovascular scar and without participation of hedgehog signaling. Hypothesis: Hedgehog activation improves tendon-to-bone healing in an animal model of rotator cuff repair. Study Design: Controlled laboratory study. Methods: A total of 78 adult Sprague-Dawley rats were used. Supraspinatus tendon injury and repair were completed bilaterally, with microsphere-encapsulated hedgehog agonist administered to right shoulders and control microspheres administered to left shoulders. Animals were sacrificed after 3, 14, 28, or 56 days. Gene expression and histological, biomechanical, and bone morphometric analyses were conducted. Results: At 3 days, hedgehog signaling pathway genes Gli1 (1.70; P = .029) and Smo (2.06; P = .0173), as well as Runx2 (1.69; P = .0386), a transcription factor of osteogenesis, were upregulated in treated relative to control repairs. At 14 days, transcription factors of tenogenesis, Scx (4.00; P = .041), and chondrogenesis, Sox9 (2.95; P = .010), and mineralized fibrocartilage genes Col2 (3.18; P = .031) and Colx (1.85; P = .006), were upregulated in treated relative to control repairs. Treatment promoted fibrocartilage formation at the healing interface by 28 days, with improvements in tendon-bone maturity, organization, and continuity. Treatment led to improved biomechanical properties. The material property strength (2.43 vs 1.89 N/m2; P = .046) and the structural property work to failure (29.01 vs 18.09 mJ; P = .030) were increased in treated relative to control repairs at 28 days and 56 days, respectively. Treatment had a marginal effect on bone morphometry underlying the repair. Trabecular thickness (0.08 vs 0.07 mm; P = .035) was increased at 28 days. Conclusion: Hedgehog agonist treatment activated hedgehog signaling at the tendon-to-bone repair site and prompted increased mineralized fibrocartilage production. This extracellular matrix production and mineralization resulted in improved biomechanical properties, demonstrating the therapeutic potential of hedgehog agonism for improving tendon-to-bone healing after rotator cuff repair. Clinical Relevance: This study demonstrates the therapeutic potential of hedgehog agonist treatment for improving tendon-to-bone healing after rotator cuff injury and repair.
Survival of Campylobacter jejuni during in vitro culture with mixed bovine ruminal microorganisms in the presence of methanogen inhibitors

Abstract Foodborne pathogen Campylobacter jejuni has been associated with ruminants. The objectives of this experiment were to determine C. jejuni survivability in mixed in vitro rumen microbial populations and the impact on methane production with or without methane inhibitors 2-bromosulfonate (BES) and/or sodium nitrate. When inoculated into rumen microbial populations without or with 0.5 mM BES, 5.0 mM nitrate or their combination, C. jejuni viability decreased from 4.7 ± 0.1 log10 colony forming units (CFU)/mL after 24 h. Loss of C. jejuni viability was greater (P < 0.05) when incubated under 100% CO2 compared to 50% H2:50% CO2, decreasing 1.46 versus 1.15 log units, respectively. C. jejuni viability was also decreased (P < 0.05) by more than 0.43 log units by the anti-methanogen treatments. Rumen microbial populations produced less methane (P = 0.05) when incubated with than without C. jejuni regardless of whether under 100% CO2 or 50% H2:50% CO2. For either gas phase, nitrate was decreased (13.2 versus 37.9%) by the anti-methanogen treatments versus controls although not always significant. C. jejuni-inoculated populations metabolized 16.4% more (P < 0.05) nitrate under H2:CO2 versus 100% CO2. Apparently, C. jejuni can compete for H2 with methanogens but has limited survivability under rumen conditions.
Modeling parameters and remote sensing acquisition of urban canopies

In the frame of the H2020 project, URBANFLUXES (http://urbanfluxes.eu/), new modeling is developed to improve the efficiency of the study of urban canopies with remote sensing, with the modeling of satellite and in- situ acquisitions (reflectance, albedo, brightness temperature), and also 3D radiative and energy budgets. The 3D radiative transfer model DART (Direct Anisotropic Radiative Transfer) (www.cesbio.ups-tlse.fr/dart) is adapted and used with its coupled model DARTEB to simulate the 3D energy budget of urban scenes. Here we present DART improvements to simulate imaging spectroscopy of urban landscapes with atmosphere, including the perspective projection of airborne acquisitions, and also the operating process of DARTEB. Applications conducted in the frame of the H2020 project URBANFLUXES are presented.
Columbus crater and other possible groundwater-fed paleolakes of Terra Sirenum, Mars

Columbus crater in the Terra Sirenum region of the Martian southern highlands contains light-toned layered deposits with interbedded sulfate and phyllosilicate minerals, a rare occurrence on Mars. Here we investigate in detail the morphology, thermophysical properties, mineralogy, and stratigraphy of these deposits; explore their regional context; and interpret the crater's aqueous history. Hydrated mineral-bearing deposits occupy a discrete ring around the walls of Columbus crater and are also exposed beneath younger materials, possibly lava flows, on its floor. Widespread minerals identified in the crater include gypsum, polyhydrated and monohydrated Mg/Fe-sulfates, and kaolinite; localized deposits consistent with montmorillonite, Fe/Mg-phyllosilicates, jarosite, alunite, and crystalline ferric oxide or hydroxide are also detected. Thermal emission spectra suggest abundances of these minerals in the tens of percent range. Other craters in northwest Terra Sirenum also contain layered deposits and Al/Fe/Mg-phyllosilicates, but sulfates have so far been found only in Columbus and Cross craters. The region's intercrater plains contain scattered exposures of Al-phyllosilicates and one isolated mound with opaline silica, in addition to more common Fe/Mg-phyllosilicates with chlorides. A Late Noachian age is estimated for the aqueous deposits in Columbus, coinciding with a period of inferred groundwater upwelling and evaporation, which (according to model results reported here) could have formed evaporites in Columbus and other craters in Terra Sirenum. Hypotheses for the origin of these deposits include groundwater cementation of crater-filling sediments and/or direct precipitation from subaerial springs or in a deep (∼900 m) paleolake. Especially under the deep lake scenario, which we prefer, chemical gradients in Columbus crater may have created a habitable environment at this location on early Mars.
PlantPAN 4.0: updated database for identifying conserved non-coding sequences and exploring dynamic transcriptional regulation in plant promoters

Abstract PlantPAN 4.0 (http://PlantPAN.itps.ncku.edu.tw/) is an integrative resource for constructing transcriptional regulatory networks for diverse plant species. In this release, the gene annotation and promoter sequences were expanded to cover 115 species. PlantPAN 4.0 can help users characterize the evolutionary differences and similarities among cis-regulatory elements; furthermore, this system can now help in identification of conserved non-coding sequences among homologous genes. The updated transcription factor binding site repository contains 3428 nonredundant matrices for 18305 transcription factors; this expansion helps in exploration of combinational and nucleotide variants of cis-regulatory elements in conserved non-coding sequences. Additionally, the genomic landscapes of regulatory factors were manually updated, and ChIP-seq data sets derived from a single-cell green alga (Chlamydomonas reinhardtii) were added. Furthermore, the statistical review and graphical analysis components were improved to offer intelligible information through ChIP-seq data analysis. These improvements included easy-to-read experimental condition clusters, searchable gene-centered interfaces for the identification of promoter regions’ binding preferences by considering experimental condition clusters and peak visualization for all regulatory factors, and the 20 most significantly enriched gene ontology functions for regulatory factors. Thus, PlantPAN 4.0 can effectively reconstruct gene regulatory networks and help compare genomic cis-regulatory elements across plant species and experiments.