Miracle-dz/UniFAR-FTUs huggingface dataset:
Stimulating intrapreneurial intentions with digital business Stimulating intrapreneurial intentions with digital business training in the VET sector: The potential of massive open online training in the VET sector: The potential of massive open online courses courses

It has become imperative to stimulate and support employees to behave entrepreneurially within organizations (intrapreneurship). However, little is known about how digital, massive, and scalable business education and training formats such as massive open online course (MOOCs) can contribute to vocational and educational training (VET) in general, and to nurture intrapreneurial behavior and corresponding intentions in specific. Therefore, the purpose of this paper is to explore the potential effect of a MOOC on intrapreneurial intentions of learners. Data were acquired from 412 employees taking a MOOC on intrapreneurship for constructs embedded in the theory of planned behavior, tailored to the context of intrapreneurship. The proposed method employs Wilcoxon signed-rank tests to compare the levels of constructs before and after the course and longitudinal structural equation modeling for gauging the initial level of intention and prior experience. The research reveals a positive effect on the perceived behavioral control, intentions, and attitude toward the behavior of learners by the MOOC and changing perceptions regarding subjective norms among peers. Besides indicating the potential for digital business training on an extensive scale, the study demonstrates the applicability of MOOCs as integrative self-selection funnel for a reliable identification of high-potential intrapreneurs. The findings are relevant for VET providers, organizations and business educators, especially in times of the COVID-19 pandemic, to understand better the multifaceted capacity of digital transformation, illustrated with training to stimulate intrapreneurship.
Phylogenetic Comparison of Swainsonine Biosynthetic Gene Clusters among Fungi

Swainsonine is a cytotoxic alkaloid produced by fungi. Genome sequence analyses revealed that these fungi share an orthologous gene cluster, SWN, necessary for swainsonine biosynthesis. To investigate the SWN cluster, the gene sequences and intergenic regions were assessed in organisms containing swnK, which is conserved across all fungi that produce swainsonine. The orders of fungi which contained orthologous swainsonine genes included Pleosporales, Onygenales, Hypocreales, Chaetothyriales, Xylariales, Capnodiales, Microthyriales, Caliciales, Patellariales, Eurotiales, and a species of the Leotiomycetes. SwnK and swnH2 genes were conserved across all fungi containing the SWN cluster; in contrast, swnT and swnA were found in a limited number of fungi containing the SWN cluster. The phylogenetic data suggest that in some orders that the SWN cluster was gained once from a common ancestor while in other orders it was likely gained several times from one or more common ancestors. The data also show that rearrangements and inversions of the SWN cluster happened within a genus as species diverged. Analysis of the intergenic regions revealed different combinations and inversions of open reading frames, as well as absence of genes. These results provide evidence of a complex evolutionary history of the SWN cluster in fungi.
Multi-Scale Attention Convolutional Network for Masson Stained Bile Duct Segmentation from Liver Pathology Images

In clinical practice, the Ishak Score system would be adopted to perform the evaluation of the grading and staging of hepatitis according to whether portal areas have fibrous expansion, bridging with other portal areas, or bridging with central veins. Based on these staging criteria, it is necessary to identify portal areas and central veins when performing the Ishak Score staging. The bile ducts have variant types and are very difficult to be detected under a single magnification, hence pathologists must observe bile ducts at different magnifications to obtain sufficient information. This pathologic examinations in routine clinical practice, however, would result in the labor intensive and expensive examination process. Therefore, the automatic quantitative analysis for pathologic examinations has had an increased demand and attracted significant attention recently. A multi-scale inputs of attention convolutional network is proposed in this study to simulate pathologists’ examination procedure for observing bile ducts under different magnifications in liver biopsy. The proposed multi-scale attention network integrates cell-level information and adjacent structural feature information for bile duct segmentation. In addition, the attention mechanism of proposed model enables the network to focus the segmentation task on the input of high magnification, reducing the influence from low magnification input, but still helps to provide wider field of surrounding information. In comparison with existing models, including FCN, U-Net, SegNet, DeepLabv3 and DeepLabv3-plus, the experimental results demonstrated that the proposed model improved the segmentation performance on Masson bile duct segmentation task with 72.5% IOU and 84.1% F1-score.
Moving Applications to the Cloud on the Microsoft Azure Platform

How can a company's applications be scalable and have high availability? To achieve this, along with developing the applications, you must also have an infrastructure that can support them. For example, you may need to add servers or increase the capacities of existing ones, have redundant hardware, add logic to the application to handle distributed computing, and add logic for failovers. You have to do this even if an application is in high demand for only short periods of time. Life becomes even more complicated (and expensive) when you start to consider issues such as network latency and security boundaries. The cloud offers a solution to this dilemma. The cloud is made up of interconnected servers located in various data centers. However, you see what appears to be a centralized location that someone else hosts and manages. By shifting the responsibility of maintaining an infrastructure to someone else, you're free to concentrate on what matters most: the application. If the cloud has data centers in different geographical areas, you can move your content closer to the people who are using it most. If an application is heavily used in Asia, have an instance running in a data center located there. This kind of flexibility may not be available to you if you have to own all the hardware. Another advantage to the cloud is that it's a pay as you go proposition. If you don't need it, you don't have to pay for it. When demand is high, you can scale up, and when demand is low, you can scale back. Yes, by moving applications to the cloud, you're giving up some control and autonomy, but you're also going to benefit from reduced costs, increased flexibility, and scalable computation and storage. The Windows Azure Architecture Guide shows you how to do this.
Rethinking ROUGE Scores for Video Game Review Summarization

Recall-oriented understudy for gisting evaluation (ROUGE) is a prevalent evaluation measure in the field of natural language processing, especially for text summarization. However, ROUGE's reliability has been continuously debated because a high ROUGE score does not guarantee a high-quality summary and vice versa. As an empirical study in the video game review summary, we address that existing state-of-the-art summarization techniques fail in generating high-quality
Investigating factors affecting COVID-19 vaccination intention among college nursing students using health belief model

This study investigates the current state of vaccination against COVID-19 among nursing students and identifies the factors that affect their vaccination intention. The subjects who agreed and understood the purpose of this study were 2nd year nursing students who have not undergone clinical practice at C University in G City. Data collection online took place from August 30 to September 4, 2021. In this study, the appropriate number of samples was met by using the questionnaire answered by 137 out of 198 students in the final analysis. The data were analyzed using IBM SPSS WIN 25.0 program. As a result of the study. COVID-19 vaccination intention showed a significantly positive correlation with perceived sensitivity (r=.573, p<.001), perceived seriousness (r=.564, p<.001), perceived benefit (r=.747, p<.001), cues to action (r=.546, p<.001), self-efficacy (r=.856, p<.001) and a significantly correlation with perceived barrier (r=-.244, p=.004). Statistically, influencing factors on COVID-19 vaccination intention were self-efficacy (β=.55, p<.001), perceived benefit (β=.28, p<.001), and cues to action (β=.11, p=.019) accounting for 80% of the total change. In other words, the higher the self-efficacy, the higher the perceived benefit, and the higher the cues to action, the higher the vaccination intention of college nursing students.
Data Processing for IoT in Oil and Gas Refineries

This paper summarizes and gives examples of the using of IoT in Industry 4.0, especially in Oil and Gas Refineries. Industry 4.0 and Industrial Internet of Things (IIoT) technologies are driving digitalization driven by software and data solutions in many areas, particularly in industrial automation and manufacturing systems. Global refineries are currently all heavily instrumented, and process regulated in real-time to the millisecond. To meet the ever-increasing needs of operational demands, SCADA, Distributed Control Systems and Programmable Logic Controllers (DCS & PLCs) have grown significantly. On the other hand, certain assets and operations in a refinery are still not being monitored or evaluated in real-time. If an error occurs that causes production to be hampered, the company must bear large losses even though production stops in just a matter of minutes. This is one of the reasons why the oil and gas sector is starting to implement the Internet of Things (IoT). The overall aim of this paper is to give and summarize several papers to provide solutions for a simple process monitoring system that would enable process operators to identify any sources of abnormality quickly and easily in the process. A system is being made so that it can be accessed and transmit data remotely via a computer network and will display conditions in real-time without being limited by distance, space, and time. This will allow all previously disconnected assets and processes to be linked and monitored in real-time in a simpler, cost-effective, and easy-to-implement manner.
Modeling the role of lateral surface flow in low‐relief polygonal tundra

Ice‐wedge polygon troughs play an important role in controlling the hydrology of low‐relief polygonal tundra regions. Lateral surface flow is confined to troughs only, but it is often neglected in model projections of permafrost thermal hydrology. Recent field and modeling studies have shown that, after rain events, increases in trough water levels are significantly more than the observed precipitation, highlighting the role of lateral surface flow in the polygonal tundra. Therefore, understanding how trough lateral surface flow can influence polygonal tundra thermal hydrology is important, especially under projected changes in temperatures and rainfall in the Arctic regions. Using an integrated cryohydrology model, this study presents plot‐scale end‐of‐century projections of ice‐wedge polygon water budget components and active layer thickness with and without trough lateral surface flow under the Representative Concentration Pathway 8.5 scenario. Trough lateral surface flow is incorporated through a newly developed empirical model, evaluated against field measurements. The numerical scenario that includes trough lateral surface flow simulates discharge (outflow from a polygon) and recharge (rain‐induced inflow to a polygon trough from upslope areas), while the scenario that does not include trough lateral surface flow ignores recharge. The results show considerable reduction (about 100–150%) in evapotranspiration and discharge in rainy years in the scenarios ignoring trough lateral surface flow, but less effect on soil water storage, in comparison with the scenario with trough lateral surface flow. In addition, the results demonstrate long‐term changes (~10–15 cm increase) in active layer thickness when trough lateral surface flow is modeled. This study highlights the importance of including lateral surface flow processes to better understand the long‐term thermal and hydrological changes in low‐relief polygonal tundra regions under a changing climate.
Clinical relevance of false-negative interferon-gamma release assays in patients with tuberculous pleurisy in an intermediate tuberculosis burden country

Background There have been few studies to verify factors associated with a false-negative interferon-gamma release assay (IGRA) in patients with tuberculous pleurisy. We investigated the clinical relevance of false-negative results of the blood QuantiFERON-TB Gold In-Tube (QFT-GIT) assay and its risk factors in patients diagnosed with pleural tuberculosis (TB). Methods Medical records of 650 pleural TB patients in a tertiary hospital between January 2009 and December 2020 were reviewed retrospectively. Patients who underwent the blood QFT-GIT assay and pleural fluid analysis before starting anti-TB medication were included. Results Of 199 patients with pleural TB who were performed QFT-GIT assay, 36 (18.1%) were false-negative results. These patients tended to be older than those with a positive result (P=0.060). The QFT-GIT-false-negative group of had significantly more comorbidities such as end-stage renal disease (ESRD), haematological cancer or pneumoconiosis than the QFT-GIT-positive group. Hypoproteinaemia and pH >6 in pleural fluid were associated with a false-negative QFT-GIT. Of the 199 patients, 163 (81.9%) were cured or completed anti-TB treatment; 13 patients (6.5%) died. The QFT-GIT-negative patients had significantly worse outcomes including mortality [unfavourable outcome: 33.3% (12/36 patients) in QFT-GIT-negative groups vs. 14.7% (24/163 patients) in QFT-GIT-positive groups, P<0.017; overall mortality: 16.7% (6/36 patients) vs. 4.3% (7/163 patients), respectively, P<0.015]. Conclusions In pleural TB, a false-negative QFT-GIT result was 18.1% in a country of intermediate TB incidence. This discordant result in GFT-GIT was associated with ESRD, pneumoconiosis, hypoproteinaemia and a poor outcome. Clinicians should keep in mind the possibility of false-negativity in the blood IGRA test, especially in specific situations and its impact on TB outcome in managing patients with pleural TB.
Steady state and pulsed bias stress induced degradation in amorphous silicon thin film transistors for active-matrix liquid crystal displays

The threshold voltage instabilities in nitride/oxide dual gate dielectric hydrogenated amorphous silicon (a-Si:H) thin-film transistors are investigated as a function of stress time, stress temperature and stress bias. The obtained results are explained with a multiple trapping model, rather than weak bond breaking model. In our model, the injected carriers from the a-Si:H channel first thermalize in a broad distribution of localized band-tail states located at the a-Si:H/a-SiN/sub x/:H interface and in the a-SiN/sub x/:H transitional layer close to the interface, then move to deeper energies in amorphous silicon nitride at longer stress times, larger stress electric fields, or higher stress temperatures. The results of the model are consistent with the bias-stress-temperature data. Steady state (DC) as well as pulsed bias stress measurements have been employed to electrically characterize the instabilities in a-Si:H TFTs. <<ETX>>
Effect of zeolite on the micro-morphological and biochemical features of the spring rapeseed (Brassica napus L.)

The study aimed to assess the effect of a natural mineral fertilizer – zeolite on the micro-morphological and biochemical characteristics of the spring rapeseed Brassica napus L. cv. ―Rif‖ ). Experiments were held at the Federal Research Center for Breeding, Agro-technics and Nursery Horticulture, Moscow, and Agro-industrial Institute, Bunin Yelets State University, Yelets, Russia from 2018 to 2020. The study scheme comprises four treatments as follows: a. control (no fertilizer), b. NPK @ 60-60-60 kg ha-1, c. Zeolite 5 t ha-1, and d. NPK @ 60-60-60 kg ha-1 + Zeolite 5 t ha-1. Results revealed that the maximum number of stomata was observed in the rapeseed crop treated with natural and mineral fertilizer – zeolite. On average, there were 537 pcs/mm2 on the adaxial surface, and 480 pcs/mm2 on the abaxial leaf surfaces. The mineral fertilizer application only, and in combination with a natural ameliorant, contributed an increase in photosynthetic pigments, which was about 22% more relative to the control. To determine the content of trace elements (Mn, Fe, Zn, and Ni) according to the phases of spring rapeseed development, the trace elements were decreased by the harvesting phase. The only exception was Co, where content was increased by the time of rapeseed ripening. The accumulation of the studied trace elements in spring rapeseed plants at maturity can be represented by the following decreasing series, Fe>Mn>Zn>Cu>Ni>Co. The correlation coefficients also revealed that there was a strong relationship among all the studied elements. A high correlation (r = 0.95) was found between the seed yield and the magnitude of the photosynthetic pigments.
FUTBOLCULARA UYGULANAN 8 HAFTALIK ÇABUKLUK ANTRENMANLARININ TOP SÜRME, PAS VE ŞUT PERFORMANSI İLE ÇEVİKLİK ÜZERİNE ETKİSİNİN İNCELENMESİ

The aim of the study is to examine the effects of eight-week quickness training applied to football players on dribbling, passing and shooting performance and agility. 29 licensed football players between the ages of 15-24 participated in the study voluntarily. The Hürden Boomerang Test was used to determine the agility performance of the athletes, and the Mor-Christian General Football Ability Test was used to determine the football-specific skills. The differences between the pretests and posttests of the participants' Boomerang, Dribbling, Passing and Total Shot variables were determined using the non-parametric inverse Wilcoxon Signed Ranks Test. According to the results of the statistical analysis, a significant difference was determined in favor of the posttest between the pretest and posttest values of agility, dribbling, passing and shooting values. It is thought that the agility performances of the athletes are decisive in basic game skills such as following the opponent, escaping from the opponent and changing positions quickly according to the location of the ball. Therefore, it can be said that agility training to be applied to football players improves football-specific skills as well as fitness parameters.
Co-relation between inflammatory biomarkers and COVID-19 progression

Background & Objective: - Coronavirus Disease-19 (COVID-19) disease has caused considerable morbidity and mortality worldwide. The present study aims to investigate the prognostic significance of the inflammatory markers and to augment our present knowledge of these biomarkers to help in risk stratification. Methodology - The proposed study is a retrospective observational study on COVID-19 positive patients admitted in the ICU of Hospital of Government Doon Medical College, Dehradun, India from November 2020 to January 2021. Patients were categorized in to three groups moderate, severe and critical as per the criteria mentioned in methodology section in detail. Statistical Analysis- To explore the risk factors associated with illness severity of COVID-19, we categorized the patients into two groups, and one is moderate and severe and second is critical. Potential predictive variables included the following case characteristics on admission: demographic features and, comorbidity, clinical signs and symptoms and laboratory findings. Results- Sixty-two patients were enrolled in this study with mean age of 63.24±20.12 of which 44(70.96%) were males and 18(29.03%) were females. Multiple number of patients had comorbidities with diabetes 36(58.06%) patients, followed by hypertension in 24(38.70%).
Characterization of Acidic Mammalian Chitinase as a Novel Biomarker for Severe Periodontitis (Stage III/IV): A Pilot Study

Periodontitis is a chronic inflammatory condition characterized by gingival infection, periodontal pocket formation, and alveolar bone loss. Acidic mammalian chitinase (AMCase), an active chitinase enzyme, increased its expression under severe inflammation and related systemic disorders. However, AMCase expression and molecular mechanism in periodontal inflammation, have not been elucidated yet. This study was aimed to characterize AMCase in severe periodontitis patients compare to those in periodontally healthy subjects. In total, 15 periodontally healthy subjects and 15 severe (stage III/IV) periodontitis patients were enrolled with their informed consent. Tissue samples were collected and analyzed using Western blot and enzyme-linked immunosorbent assay (ELISA). AMCase protein expressions in periodontal patients were significantly more increased than those of periodontally healthy individuals. ELISA resulted in median values (first quartile to third quartile) of the periodontally healthy group 0.654 ng/mL (range, 0.644–0.827 ng/mL) and the periodontitis group 0.965 ng/mL (range, 0.886–1.165 ng/mL). AMCase was expressed significantly higher levels in periodontitis patients than in periodontally healthy individuals (p < 0.05). This suggests that AMCase may play a potential role as a biomarker for the screening and early diagnosis of severe periodontitis.
The Effect of Education on Self-Management and Stroke Prevention Behavior on Recurrence

This study aimed to determine the provision of self-management education interventions to reduce recurrence in stroke patients. Method: research design experimental with intact group comparison design. The number of samples of 60 people was calculated using G power software, taken by purposive sampling technique, 29 intervention groups and 31 control groups. The research was conducted in poly stroke RSU Muhammadiyah Malang. The instrument used the Stroke Self-Management Questionnaire (SSMQ) for stroke prevention behavior. Chi-square and the Mann-Whitney test analyzed data. The statistical tests obtained a p-value for self-management behavior, and recurrence was not significant, while on stroke prevention behavior obtained a p-value of 0.034 < 0.05. Self-management educational interventions give patients the ability to control behavior and emotional responses so that patients can prevent stroke.
Terpenoids from the Stem bark of Aglaia elaeagnoidea and their cytotoxic activity against HeLa and DU145 Cancer Cell lines

Aglaia is the largest genus of the Meliaceae family which contains terpenoid compounds. This type of compounds showed a diverse structures and biological activities that can be found in natural resources. Aglaia elaeagnoidea is a species from Aglaia genus that only has a few previous research. This study was aimed to isolate and determine the chemical structure of terpenoid compounds from the ethyl acetate extract of A. elaeagnoidea stem bark. Ethyl acetate extracts were separated and purified by various chromatographic techniques to obtain compounds 1-5. Compounds 1-5 were identified their chemical structures by spectroscopic methods (IR, MS, and NMR) and comparison with previous reported spectral data. Compounds 1 and 2 were identified as eudesmane-type sesquiterpenoids, 5-epi-eudesm-4(15)-ene-1β,6β-diol (1) and 6α-Hydroxy-eudesm-4(15)-en-1-one (2). Compounds 3-5 were identified as dammarane-type triterpenoids, 20S,24S-epoxy-25-hydroxydammarane-3-one (3), 20S,24S-epoxydammarane-3α,25-diol (4), and 3α-epi-cabraleahydroxy lactone (5). These compounds are first time reported from this plant. Compounds 1-5 were tested for cytotoxicity against HeLa cervical cancer cell and DU145 prostate cancer cell and as a result, compound 4 (20S,24S-epoxydammarane-3α,25-diol) showed the stronger activity compared to other compounds.