Miracle-dz/UniFAR-FTUs huggingface dataset:
School Principal’s Perceived Practices and Challenges of Human Resource Management: A Gender Perspective Lens

While much is written about human resource management practices in general organizations, far less is known about the school as an organization and role of women principal as a human resource manager. The purpose of this study was to explore the perceived practices and challenges of women principles as human resource managers in private schools. Since it has been widely accepted that performance of institutions highly depends upon the way human resources are perceived and managed. Applying the case study method, the data generated using the semi-structured interview. The findings of the study show that the women principal, to a great extent, had an understanding about the concept of human resource management such as recruitment, selection, induction, monitoring and evaluation, training, and development. The principal also found to be the key person in employee’s performance appraisal, job design and their motivation. In doing so the principal faced challenges in employees’ career planning, effective retention approaches, and providing incentives with attractive salaries etc. The study recommends private schools to develop a comprehensive human resource management system on priority basis which could address such kind of challenges.
Process Standard in Curriculum 2013: An Analysis of Implementation

Education has an important role to increasing human resources, because quality of human resources is needed to face the increasing flow of globalization. One way to improve the quality of human resources is to improve the quality of education. One of the efforts made to improve the quality of education in Indonesia is by perfecting the educational curriculum. Currently the curriculum used is the curriculum 2013 revised edition which includes four changes from eight educational standards, one of which is the process standard. However, not all teachers can implement process standards properly in learning, so the authors are interested in conducting research that aims to reveal the implementation of the curriculum 2013 revised as well as the obstacles faced in high schools in Sungai Pagu District. The type of this research is descriptive research and the research subjects who serve as the main informants in this study are all economics teachers on Senior high school in Sungai Pagu district. Based on the results of the research that has been carried out, in general all economics teachers have prepared lesson plans and carried out learning in accordance with the rules of standard process of curriculum 2013 revised. However, there are still several indicators in the planning and implementation of learning that still need to be improved and completed. In the future, it is hoped that the implementation of education process standards will be more perfect so that the quality of education will also
Discovery and Characterization of a Novel MASTL Inhibitor MKI-2 Targeting MASTL-PP2A in Breast Cancer Cells and Oocytes

Although microtubule-associated serine/threonine kinase-like (MASTL) is a promising target for selective anticancer treatment, MASTL inhibitors with nano range potency and antitumor efficacy have not been reported. Here, we report a novel potent and selective MASTL inhibitor MASTL kinase inhibitor-2 (MKI-2) identified in silico through a drug discovery program. Our data showed that MKI-2 inhibited recombinant MASTL activity and cellular MASTL activity with IC50 values of 37.44 nM and 142.7 nM, respectively, in breast cancer cells. In addition, MKI-2 inhibited MASTL kinase rather than other AGC kinases, such as ROCK1, AKT1, PKACα, and p70S6K. Furthermore, MKI-2 exerted various antitumor activities by inducing mitotic catastrophe resulting from the modulation of the MASTL-PP2A axis in breast cancer cells. The MKI-2 treatment showed phenocopies with MASTL-null oocyte in mouse oocytes, which were used as a model to validate MKI-2 activity. Therefore, our study provided a new potent and selective MASTL inhibitor MKI-2 targeting the oncogenic MAST-PP2A axis in breast cancer cells.
Mental Health of Persons with Aphasia during the COVID-19 Pandemic: Challenges and Opportunities for Addressing Emotional Distress

Aphasia refers to the acquired language deficits, most commonly caused by a stroke, that affect one’s verbal understanding, oral expression, reading, and writing. Approximately 31% of stroke survivors exhibit depression or some depressive symptoms that can impede functional recovery. Since the onset of the COVID-19 pandemic in March 2020, many reports have discussed its psychological and mental impacts on different people world-wide, including both unimpaired individuals and those with chronic illnesses or medical conditions. At present, relatively little has been published on the topic of mental health changes, distress, and/or concerns among persons with aphasia (PWA). Nevertheless, the current evidence reported thus far suggested that PWA had equally suffered from emotional symptoms as a result of the coronavirus outbreak, similar to other disorder populations. With reference to recent reports, the challenges posed to management of aphasia are summarized. Some potential opportunities to address PWA’s needs, with an emphasis on their emotional distress, amid and after the pandemic are proposed and discussed.
Comparative Analysis of Mitogenomes among Five Species of Filchnerella (Orthoptera: Acridoidea: Pamphagidae) and Their Phylogenetic and Taxonomic Implications

Simple Summary Filchnerella belongs to Insecta, Orthoptera and Pamphagidae, of which there are 19 recorded species. The wings of Filchnerella are diverse, including three grasshopper wing types: longipennate, short wings and small wings. The previous studies of Filchnerella are more about the description of species morphology, and few about exploring the phylogenetic relationships with limited number of species and DNA fragments, which are insufficient to study the phylogeny of the entire genus, especially in order to understand the evolution of wing types in Filchnerella. To better understand the mitogenomic characteristics of Filchnerella and reveal its internal phylogenetic relationships, the complete mitochondrial genomes of Filchnerella sunanensis, Filchnerella amplivertica, Filchnerella dingxiensis, Filchnerella pamphagoides and Filchnerella nigritibia were sequenced and comparatively analyzed in this study. The mitogenomes of these five Filchnerella species were found to be highly conserved. Phylogenetic analyses, based on mitogenome data of 16 species of Pamphagidae, using both the maximum likelihood (ML) and Bayesian inference (BI) methods, supported the monophyly of Filchnerella and produced valuable data for the phylogenetic study of the genus. Abstract Mitogenomes have been widely used for exploring phylogenetic analysis and taxonomic diagnosis. In this study, the complete mitogenomes of five species of Filchnerella were sequenced, annotated and analyzed. Then, combined with other seven mitogenomes of Filchnerella and four of Pamphagidae, the phylogenetic relationships were reconstructed by maximum likelihood (ML) and Bayesian (BI) methods based on PCGs+rRNAs. The sizes of the five complete mitogenomes are Filchnerella sunanensis 15,656 bp, Filchnerella amplivertica 15,657 bp, Filchnerella nigritibia 15,661 bp, Filchnerella pamphagoides 15,661 bp and Filchnerella dingxiensis 15,666 bp. The nucleotide composition of mitogenomes is biased toward A+T. All tRNAs could be folded into the typical clover-leaf structure, except that tRNA Ser (AGN) lacked a dihydrouridine (DHU) arm. The phylogenetic relationships of Filchnerella species based on mitogenome data revealed a general pattern of wing evolution from long wing to increasingly shortened wing.
Isolation and Characterization of Barley (Hordeum vulgare) Extracellular Vesicles to Assess Their Role in RNA Spray-Based Crop Protection

The demonstration that spray-induced gene silencing (SIGS) can confer strong disease resistance, bypassing the laborious and time-consuming transgenic expression of double-stranded (ds)RNA to induce the gene silencing of pathogenic targets, was ground-breaking. However, future field applications will require fundamental mechanistic knowledge of dsRNA uptake, processing, and transfer. There is increasing evidence that extracellular vesicles (EVs) mediate the transfer of transgene-derived small interfering (si)RNAs in host-induced gene silencing (HIGS) applications. In this study, we establish a protocol for barley EV isolation and assess the possibilities for EVs regarding the translocation of sprayed dsRNA from barley (Hordeum vulgare) to its interacting fungal pathogens. We found barley EVs that were 156 nm in size, containing predominantly 21 and 19 nucleotide (nts) siRNAs, starting with a 5′-terminal Adenine. Although a direct comparison of the RNA cargo between HIGS and SIGS EV isolates is improper given their underlying mechanistic differences, we identified sequence-identical siRNAs in both systems. Overall, the number of siRNAs isolated from the EVs of dsRNA-sprayed barley plants with sequence complementarity to the sprayed dsRNA precursor was low. However, whether these few siRNAs are sufficient to induce the SIGS of pathogenic target genes requires further research. Taken together, our results raise the possibility that EVs may not be mandatory for the spray-delivered siRNA uptake and induction of SIGS.
News Text Classification Method and Simulation Based on the Hybrid Deep Learning Model

This paper uses the database as the data source, using bibliometrics and visual analysis methods, to statistically analyze the relevant documents published in the field of text classification in the past ten years, to clarify the development context and research status of the text classification field, and to predict the research in the field of text classification priorities and research frontiers. Based on the in-depth study of the background, research status, related theories, and developments of online news text classification, this article analyzes the annual publication trend, subject distribution, journal distribution, institution distribution, author distribution, highly cited literature analysis, and research hotspots. Forefront and other aspects clarify the development context and research status of the text classification field and provide a theoretical reference for the further development of the text classification field. Then, on the basis of systematic research on text classification, deep learning, and news text classification theories, a deep learning-based network news text classification model is constructed, and the function of each module is introduced in detail, which will help the future news text classification of application and improvement provide theoretical basis. On the basis of the predecessors, this article separately studied and improved the neural network model based on the convolutional neural network, cyclic neural network, and attention mechanism and merged the three models into one model, which can obtain local associated features and contextual features and highlight the role of keywords. Finally, experiments are used to verify the effectiveness of the model proposed in this paper and compared with traditional text classification to prove the superiority of the network news text classification based on deep learning proposed in this paper. This article aims to study the internal connection between news comments and the number of votes received by news comments, and through the proposed model, the number of votes for news comments can be predicted.
Pandemic Policymaking

This study leverages a high dimensional manifold learning design to explore the latent structure of the pandemic policymaking space only based on bill-level characteristics of pandemic-focused bills from 1973 to 2020. Results indicate the COVID-19 era of policymaking maps extremely closely onto prior periods of related policymaking. This suggests that there is striking uniformity in Congressional policymaking related to these types of large-scale crises over time, despite currently operating in a unique era of hyperpolarization, division, and ineffective governance.
Influence of Isolation Technique on the Survival of Resin-Modified Glass-Ionomer Restorations in Primary Molars: A 9-Months Randomized Controlled Trial

Objective: To compare the survival of occlusal and occlusal-proximal restorations performed with resinmodified glass-ionomer cement (RMGIC) in deciduous molars using rubber dam and cotton rolls isolation. Material and Methods: Ninety-two patients were included and 200 deciduous molars with cavitated occlusal or occlusoproximal dentin caries lesions were randomized into two groups: cotton rolls (n = 100) and rubber dam (n = 100) and RMGIC restorations were placed. At baseline and in the follow-up visit, presence, severity and activity of caries lesions were registered. Two independent, blinded examiners evaluated the treated teeth clinically using the USPHS criteria and radiographically after 9 months. Descriptive analysis, survival curve (log-rank test) and Cox regression were performed to assess risk factors related to failure. Results: Out of the 179 teeth (92 cotton rolls group and 87 rubber dam group) evaluated at 9-month follow-up period. No lesion progression was observed radiographically. The overall treatment success rate was 85.47% (83.47% for cotton rolls and 87.35 rubber dam group). No significant difference between isolation methods was observed in the log-rank test (p = 0.16). Cox regression showed no risk factors related to failure. Conclusion: No difference was found in the survival of occlusal and occlusalproximal restorations performed with RMGIC in deciduous molars using a rubber dam and cotton rolls isolation after a 9-month follow-up period.
A computationally e$cient hybrid approach for dynamic gas/aerosol transfer in air quality models

Dynamic mass transfer methods have been developed to better describe the interaction of the aerosol population with semi-volatile species such as nitrate, ammonia, and chloride. Unfortunately, these dynamic methods are computationally expensive. Assumptions are often made to reduce the computational cost of explicit dynamic calculations, including instantaneous equilibrium and/or use of bulk-aerosol composition. A novel approach to the modeling of the mass transfer of semi-volatile species is presented. A hybrid method is developed that utilizes equilibrium assumptions for the "ne aerosol mode (particles with diameters less than 1 lm) and the dynamic approach for the coarse aerosol mode. A comparison among three methods (equilibrium, dynamic, and hybrid) is made for varying conditions of aerosol acidity, dry and wet particles, and marine and urban environments. Results show that the hybrid method maintains most of the predictive ability of the dynamic approach and is 50 times more computationally e$cient for our test scenario. Sensitivity of the hybrid method to the equilibrium cut-o! diameter and to the frequency of the evaluation of the equilibrium portion of the aerosol distribution is also discussed. ( 2000 Elsevier Science Ltd. All rights reserved.
Transmission of Echinococcus ortleppi at the Endangered Primate Rescue Center, Cuc

According to the statistical report of the Endangered Primate Rescue Center, the prevalence of the cystic disease in four langur species (Trachypithecus hatinhensis, T. delacouri, Pygathrix nemaeus, P. cinerea) was on average 63.4% (N=41). Of which, five individuals were confirmed to be infected with Echinococcus ortleppi. To clarify the transmission route of infection in primates, we investigated the prevalence of intestinal helminths in leaves, the food for these primate species and in dog fecal samples collected in the surrounding areas of the center. Only Ancylostoma spp. and Isospora spp. were detected in leaves samples, with the infection rate of 7.07% and 1.01% respectively. In addition, survey on 156 dog feces samples showed that the overall prevalence of gastrointestinal parasites was quite high (73.55%). However, Echinococcus eggs still remained undetected.
Model-To-Model Transformation with approach by modeling: From UML to IoC Application model

The continuing evolution of business needs and technology makes applications more demanding in terms of development, maintenance, usability and management. To cope with this complexity, various frameworks and patterns are integrated for producing stable, maintainable and testable code. Given this diversity of solutions, the generation of a code based on UML models has become important. This paper presents, after establishing the different meta-models, the application of the MDA (Model Driven Architecture) to generate, from the UML model, the Code following the Ioc (Inversion of Control) and Dao (Data Acces Object) patterns. The model-to-model transformations are also clearly and formally established by using the standard MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) as transformation language. The transformation rules defined in this paper can generate, from the class diagram, an XML file containing the Business and the Data Access package. This file can be used to generate the necessary code of an architecture overview of IoC and DAO patterns.
On the looseness of FO derandomization

This paper proves, for two examples of a randomized ROM PKE C , that derandomizing C degrades ROM OW-CPA security by a factor close to the number of hash queries. The ﬁrst example can be explained by the size of the message space of C but the second cannot. This paper also gives a concrete example of a randomized non-ROM PKE C that appears to have the same properties regarding known attacks.
Levels of Some Essential Elements in Edible Plantain (Musa Spp) Species from Bibiani Mining Area

Introduction Minerals nutrients are inorganic elements that originate from the earth and cannot be made in the body (IFA, 2011). They are essential elements because they play important roles in various biochemical processes in the body necessary to sustain life and maintain optimal health (Ozcan, 2003). Since they cannot be manufactured by the body they must be present in food or food supplements in order to meet the body requirement for normal growth and other vital roles they play in the body. The elements, As, Ca, Co, Cr Cu, Cl, F, Fe, I, K, Mg, Mn, Mo, Na, Ni, P, Se, Si, Sn, V and Zn are considered essential elements (Danso et al, 2001). Vegetables, fruits, and some food crops including plantain can serve as a good source of minerals when consumed. Plantain, known scientifically as Musa ssp, is a food crop that serves as a major staple food, not only in Ghana, but in Africa and other parts of the world. Plantain is widely cultivated in most African countries (including Ghana, Nigeria, La Cote D’ivoire, Cameroun, Uganda etc.) and also in Asia and Latin American countries (Lescot & Ganry, 2008). In these countries, plantation production is not only for consumption locally but also for export. Ghana has been the largest producer of plantain in West and Central Africa since 2001 (AA, 2011). In the year 2001, plantain contributed 13.1% of Ghana’s Agricultural Gross Domestic Product out of which 101.8 kg, representing 90%, was consumed locally since it (plantain) ranked very high in food preference (AA, 2011). Plantain contains vitamins A B1, B2, B3, B6, C, and minerals such as potassium hence, very rich nutritionally. It is low in fat and for that matter, recommended for the obese. Also, it has low sodium and cholesterol content and that makes it useful in managing high blood pressure and heart disease conditions in patients. Furthermore, it contains less toxic and anti-nutrient substances such as cyanogenic glucosides in plantain and glycoalkaloids in potatoes (Sharrock & Lusty, 1999) making it relatively safer for consumption. Some studies have already been done to determine the nutritional value of various plantain species and other food crops like cassava and cocoyam in many parts of the country (Danso et al 2001, Danso et al, 2006, Dzomeku et al, 2008). In these studies, various parameters of the food crops were studied. Some of the parameters studied included mineral nutrients, moisture,
A Comparative Study on Efficacy of Ballistic Stretching Versus Modified Hold Relax Technique in Increasing Hamstring Flexibility

In the literature, the terms “flexibility” and “muscle length” are often used synonymously when referring to the ability of muscles to be lengthened to their end range. The flexibility of the hamstring muscle is important in the prevention of injury, muscular and postural imbalance and maintenance of a full range of joint movement optimal musculoskeletal function and enhanced performance in day-to-day activities. To evaluate the comparative effectiveness of modified hold-relax technique and ballistic stretching for increasing hamstring flexibility in football players. To evaluate the comparative effectiveness of modified hold-relax technique and ballistic stretching for increasing hamstring flexibility in football players. This study includes (N=50) subjects with hamstring tightness within the age group of 18-28 years. They were randomly assigned into 2 groups (Group A and B). Group A had 25 (N=25) subjects who are treated with Modified holdrelax stretching, Group B had 25 (N=25) who are treated with ballistic stretching. The subjects were given intervention 3 sessions per week for 4 weeks. ANOVA one way classification was used to compare between and within the groups. Test within the subject of effect is highly significant for both the groups. Each group has p=0.000. Test between the subjects were used to compare between the groups, it showed highly significant p=0.000. But clinically modified holdrelax is superior to ballistic stretching. The findings suggest that modified holdrelax and ballistic stretching both was statistically significant in improving hamstring flexibility. But modified holdrelax technique showed better results compared to ballistic stretching.
1 Exon junction complexes suppress spurious splice sites to safeguard 2 transcriptome integrity 3 4 5

1 Institute for Genetics, University of Cologne, 50674 Cologne, Germany 11 2 Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III and 12 Klaus Tschira Institute for Integrative Computational Cardiology, University of Heidelberg, 13 69120 Heidelberg, Germany 14 3 DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, 15 69120 Heidelberg, Germany 16 4 present address: Department of Biochemistry and Molecular Genetics, University of 17 Colorado Denver School of Medicine, Aurora, CO 80045, USA 18 5 present address: Department of Biosciences and Bioengineering, Indian Institute of 19 Technology Guwahati, 781039-Guwahati, Assam, INDIA 20 6 Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, 21 London, WC1N 3BG, UK 22 7 The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK 23 8 Cologne Center for Genomics (CCG), University of Cologne, 50931 Cologne, Germany 24 9 Institute of Human Genetics, University of Cologne, 50931 Cologne, Germany 25 10 Center for Molecular Medicine Cologne, University of Cologne, 50937 Cologne, Germany 26 11 Lead Contact 27 28