Miracle-dz/UniFAR-FTUs huggingface dataset:
Transitory effects of personality on employee turnover

Purpose – examining transitory effects of extraversion and openness to experience on employee turnover. Design/Method/Approach. Fully observed recursive mixed process model. Findings. Results show that (i) extraversion positively predicts turnover and that (ii) openness does not predict turnover. Moreover, comparing size effects between studies reveals that only extraversion has significantly more positive effect on employee turnover, which is in contradiction with previous meta-analysis. Theoretical implications. This research identifies a plausible boundary condition – national culture – in examining how a person’s personality impact employee turnover in organizations. It highlights the shortcomings of previous meta-analysis that failed to incorporate differences in societal values and business contexts and identifies. Practical implications. In studying cultural contexts and value congruencies, this study contributes to the international human resources literature by identifying boundary conditions that explain how personality impacts employee turnover. Originality/Value. This study is the first to analyze the effects of personality on turnover using a within-individual unfolding and holistic model. Research limitations/Future research. The current study incorporates only a sample from a single country. Future research that analyzes the moderating effects of societal and business values in crossnational samples could corroborate and extend on the findings from this study.
Computational Prediction of Elapsed Narrative Time

It is commonly asserted that the average amount of narrative time that elapses in a passage of ﬁction has decreased over the past several hundred years. But did this change in literary time really occur, and if so, how rapidly? Previous work on a small but carefully chosen set of hand-labeled passages ﬁnds that literary time becomes progressively shorter over the 19 th and early 20 th centuries. We explore computational methods for predicting literary time and apply these to a collection of more than 53,000 complete novels from the 1700s to the present day. We observe the same decrease in average narrative time up to the mid-20 th century. After establishing this result we compare metrics of estimated literary time to patterns of language use.
Blood Metagenome in Health and Psoriasis

A survey and analytical assessment of the results of fundamental works on studying blood metagenome (set of all non-human DNA) is carried out. All works on determining bacterial DNA concentration in the whole blood of healthy people are reviewed. Detailed comparison of characteristics of 16S rRNA test (hereinafter 16S-test) and whole metagenome sequencing test (hereinafter WMS-test) is carried out and published in Supplement S1. One of main goals of this review is to identify the drawbacks and mistakes which the studied works contain, particularly to emphasize the crucial importance of determining total concentration of bacterial DNA for comparing patients' metagenomes with those of healthy people as well as for comparing patients' metagenomes with each other. Controlling the level and composition of contamination is equally important. The absence of high-quality contamination control at each step (or at certain steps) of the research significantly reduces the reliability of achieved results. The given review is the first attempt to analyze and systematize the results of blood metagenome studies, whose number has increased considerably in the last few years. The review has been carried out as part of preparation for implementing a project on complex studying metagenomes of whole blood and skin biopsies of psoriatic patients.
A Synergistic Planning Process for Course Design

Teaching in today's diverse classrooms requires as much attention to pedagogy as to content. This article describes a strategic effort to improve student learning through an integrated framework for designing college courses that synthesizes components of several curriculum models. We describe our synergistic planning process, including the four steps we used to create a meaningful learning experience for every student. We offer this inclusive approach to course design as a productive starting point for course planning and teaching improvement efforts across disciplines and institutions.
Methods for Obtaining of Management Decisions during Evaluating the Controlled Parameters by Qualitative Categories

Expert control systems emulate the decision making ability of a human expert for solving complex problems by reasoning about knowledge. Artificial intelligence techniques are usually used for the purpose of representing knowledge and for generating control decisions through an appropriate reasoning mechanism. In this paper, the generalized form of knowledge representation models in expert control systems is represented. Furthermore, an algorithm for deriving managerial decisions based on the method of resolving is described. Unified control models are proposed that allow one to determine combinations of control operations that can bring the control object to normal if it goes beyond the permissible ranges of several characteristics. It is proved that when assessing the characteristics of the state of the control object in qualitative categories, the task of deriving a managerial decision is reduced to solving a system of linear equations with Boolean variables or combinatorial optimization problems. Algorithms for solving such problems that implement the idea of a directed enumeration of options are indicated.
The Causal Relationship among Export, Imports, Capital Formation and Economic Growth in Bangladesh

The Gross Domestic Product (GDP), exports, imports, and capital formation are the most important macro-economic indicators for a country. These indicators are an integral part of the overall developmental effort and national growth of all countries including Bangladesh. This study is conducted is to investigate the dynamic relationship among exports, imports, capital formation, and economic growth in Bangladesh using annual time series data from 1972 to 2018. To achieve this objective, the study is used the Johansen Co-integration test and Vector Error Correction Model (VECM) and Granger-causality test. The Johansen Co-integration test results confirm that there is a statistically significant long-run equilibrium relationship among exports, imports, capital formation, and economic growth. The results of the VECM show that the disequilibrium in long-run economic growth is corrected or adjusted by 47% in the short-run following the next year. Furthermore, the study finds short-run causality running from exports to economic growth and imports to economic growth and capital formation to economic growth. The results from Granger causality test reveal that there exists a unidirectional causal relationship from exports to economic growth (GDP), from capital formation to GDP and from exportstoimports while a bi-directional causal relationship between imports and GDP; capital formation and exports; capital formation and imports in Bangladesh. Therefore, the government of Bangladesh should rethink the current policies regarding the exports, imports, gross capital formation (investment), and economic growth.
Pilot Testing of an Information Extraction (IE) Prototype for Legal Research

This article presents findings from pilot testing of elements of an information extraction (IE) prototype designed to assist legal researchers in engaging with case law databases. The prototype that was piloted seeks to extract, from legal case documents, relevant and accurate information on cases referred to (CRTs) in the source cases. Testing of CRT extraction from 50 source cases resulted in only 38% (n = 19) of the extractions providing an accurate number of CRTs. In respect of the prototype’s extraction of CRT attributes (case title, date, journal, and action), none of the 50 extractions produced fully accurate attribute information. The article outlines the prototype, the pilot testing process, and the test findings, and then concludes with a discussion of where the prototype needs to be improved.
Performances of Pentacene OFETs Deposited by Arbitrary Mounting Angle Vacuum Evaporator

A vacuum evaporator is widely used for generating atomic/molecular beams for thin film deposition, and conventionally must be mounted to a vacuum chamber with an upwards angle from the horizontal. In this article, we report a novel kind of evaporator that can be mounted at an arbitrary angle for organic materials. The crucible of the evaporator here is designed to keep the loaded organic materials from falling. The morphology and electrical characteristics of pentacene thin film organic field effect transistors on trichloro(octadecyl)silane modified SiO2 are characterized and compared for commercial and arbitrary mounting angle evaporators. Pentacene films deposited from both evaporators exhibit similar morphology and domain size characterized by atomic force microscope, as well as similar mobility, threshold voltage, and on/off ratio. The results can be used to develop a new configuration for an organic vacuum deposition system, which allows the positioning of shadow masks directly on substrates and thus avoids deformation, enabling fabrication of organic electronics for high resolution over large areas.
Performance Enhancement of Permeable Asphalt Mixtures With Recycled Aggregate for Concrete Pavement Application

The incorporation of recycled concrete aggregate (RCA) in permeable asphalt mixtures (PAMs) is an efficient method of utilizing construction demolished waste. It not only conforms to the trend of building sponge cities, but also alleviates the problem of overexploitation of natural aggregate resources. As the performance of PAM containing recycled aggregate is not comparable to natural aggregate, modification treatments and the addition of hybrid fibers are adopted as two enhancement methods to improve the performance of PAM with RAC in this study. It is found that replacing natural aggregate with recycled aggregate increases the optimum asphalt content (OAC) but decreases the residual stability. The OAC is increased by 45% when the RCA ratio is 100%, whereas applying silicone resin can give a 16.2% decrease in the OAC. Enhancing RCA with silicone resin can increase the water stability to be comparable with natural aggregate. Moreover, with modification treatment using calcium hydroxide solution, the mechanical strength of PAM is enhanced to even higher than that of natural coarse aggregate mixture alone. Improvements in both mechanical strength and water stability are also achieved by strengthening recycled aggregate with cement slurry, although the performance is less effective than using silicone resin. With the increase in the content of RCA, the permeability coefficients of PAM first decrease and then exhibit an increasing trend. The results indicate that the PAM with RCA and modification treatments can perform satisfactorily as a pavement material in practice. Applying probable modification, PAM incorporating RCA meets the criteria for use in concrete pavement applications.
Sex-Specific Cognitive Deficits Following Space Radiation Exposure

The radiation fields in space define tangible risks to the health of astronauts, and significant work in rodent models has clearly shown a variety of exposure paradigms to compromise central nervous system (CNS) functionality. Despite our current knowledge, sex differences regarding the risks of space radiation exposure on cognitive function remain poorly understood, which is potentially problematic given that 30% of astronauts are women. While work from us and others have demonstrated pronounced cognitive decrements in male mice exposed to charged particle irradiation, here we show that female mice exhibit significant resistance to adverse neurocognitive effects of space radiation. The present findings indicate that male mice exposed to low doses (≤30 cGy) of energetic (400 MeV/n) helium ions (4He) show significantly higher levels of neuroinflammation and more extensive cognitive deficits than females. Twelve weeks following 4He ion exposure, irradiated male mice demonstrated significant deficits in object and place recognition memory accompanied by activation of microglia, marked upregulation of hippocampal Toll-like receptor 4 (TLR4), and increased expression of the pro-inflammatory marker high mobility group box 1 protein (HMGB1). Additionally, we determined that exposure to 4He ions caused a significant decline in the number of dendritic branch points and total dendritic length along with the hippocampus neurons in female mice. Interestingly, only male mice showed a significant decline of dendritic spine density following irradiation. These data indicate that fundamental differences in inflammatory cascades between male and female mice may drive divergent CNS radiation responses that differentially impact the structural plasticity of neurons and neurocognitive outcomes following cosmic radiation exposure.
Molecular Cloning and Functional Analysis of the NPR1 Homolog in Kiwifruit (Actinidia eriantha)

Kiwifruit bacterial canker, caused by the bacterial pathogen Pseudomonas syringae pv. actinidiae (Psa), is a destructive disease in the kiwifruit industry globally. Consequently, understanding the mechanism of defense against pathogens in kiwifruit could facilitate the development of effective novel protection strategies. The Non-expressor of Pathogenesis-Related genes 1 (NPR1) is a critical component of the salicylic acid (SA)-dependent signaling pathway. Here, a novel kiwifruit NPR1-like gene, designated AeNPR1a, was isolated by using PCR and rapid amplification of cDNA ends techniques. The full-length cDNA consisted of 1952 base pairs with a 1,746-bp open-reading frame encoding a 582 amino acid protein. Homology analysis showed that the AeNPR1a protein is significantly similar to the VvNPR1 of grape. A 2.0 Kb 5′-flanking region of AeNPR1a was isolated, and sequence identification revealed the presence of several putative cis-regulatory elements, including basic elements, defense and stress response elements, and binding sites for WRKY transcription factors. Real-time quantitative PCR results demonstrated that AeNPR1a had different expression patterns in various tissues, and its transcription could be induced by phytohormone treatment and Psa inoculation. The yeast two-hybrid assay revealed that AeNPR1a interacts with AeTGA2. Constitutive expression of AeNPR1a induced the expression of pathogenesis-related gene in transgenic tobacco plants and enhanced tolerance to bacterial pathogens. In addition, AeNPR1a expression could restore basal resistance to Pseudomonas syringae pv. tomato DC3000 (Pst) in Arabidopsis npr1-1 mutant. Our data suggest that AeNPR1a gene is likely to play a pivotal role in defense responses in kiwifruit.
CUB and Sushi Multiple Domains 1 (CSMD1) opposes the complement cascade in neural tissues

Schizophrenia risk is associated with increased gene copy number and brain expression of complement component 4 (C4). Because the complement system facilitates synaptic pruning, the C4 association has renewed interest in a hypothesis that excessive pruning contributes to schizophrenia pathogenesis. However, little is known about complement regulation in neural tissues or whether such regulation could be relevant to psychiatric illness. Intriguingly, common variation within CSMD1, which encodes a putative complement inhibitor, has consistently associated with schizophrenia at genome-wide significance. We found that Csmd1 is predominantly expressed in the brain by neurons, and is enriched at synapses; that human stem cell-derived neurons lacking CSMD1 are more vulnerable to complement deposition; and that mice lacking Csmd1 have increased brain complement activity, fewer synapses, aberrant complement-dependent development of a neural circuit, and synaptic elements that are preferentially engulfed by cultured microglia. These data suggest that CSMD1 opposes the complement cascade in neural tissues. Graphic Abstract. Our findings support a model in which CSMD1 opposes actions of the complement cascade in neural tissues (top left). We investigated two models in which Csmd1 was genetically ablated: human cortical neurons derived from embryonic stem cells, and a back-crossed C57bl6-Tac mouse line (top right). Csmd1 is normally expressed by neurons and present at synapses where it can protect them from complement (bottom left); in the absence of Csmd1 (bottom right), we find more deposition of complement (on cultured human cortical neurons and in the mouse visual system), reduced numbers of synapses (in the mouse visual system), and synaptic fractions that are more readily engulfed by microglia (ex vivo). Created with BioRender.com.
Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up

Background: Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperative treatment during long-term follow-up; this phenomenon is defined as postoperative delayed remission (DR). DR may complicate the interpretation of surgical outcomes in patients with acromegaly and interfere with decision-making regarding postoperative adjuvant therapy. Objective: We aimed to develop and validate machine learning (ML) models for predicting DR in acromegaly patients who have not achieved remission within 6 months of surgery. Methods: We enrolled 306 acromegaly patients and randomly divided them into training and test datasets. We used the recursive feature elimination (RFE) algorithm to select features and applied six ML algorithms to construct DR prediction models. The performance of these ML models was validated using receiver operating characteristics analysis. We used permutation importance, SHapley Additive exPlanations (SHAP), and local interpretable model–agnostic explanation (LIME) algorithms to determine the importance of the selected features and interpret the ML models. Results: Fifty-five (17.97%) acromegaly patients met the criteria for DR, and five features (post-1w rGH, post-1w nGH, post-6m rGH, post-6m IGF-1, and post-6m nGH) were significantly associated with DR in both the training and the test datasets. After the RFE feature selection, the XGboost model, which comprised the 15 important features, had the greatest discriminatory ability (area under the curve = 0.8349, sensitivity = 0.8889, Youden's index = 0.6842). The XGboost model showed good discrimination ability and provided significantly better estimates of DR of patients with acromegaly compared with using only the Knosp grade. The results obtained from permutation importance, SHAP, and LIME algorithms showed that post-6m IGF-1 is the most important feature in XGboost algorithm prediction and showed the reliability and the clinical practicability of the XGboost model in DR prediction. Conclusions: ML-based models can serve as an effective non-invasive approach to predicting DR and could aid in determining individual treatment and follow-up strategies for acromegaly patients who have not achieved remission within 6 months of surgery.
A Genetic Clustering Algorithm for Automatic Text Summarization

Abstract. Automatic text summarization has become a relevant topic due to the information overload. This automatization aims to help humans and machines to deal with the vast amount of text data (structured and un-structured) offered on the web and deep web. In this research a novel approach for automatic extractive text summarization called SENCLUS is presented. Using a genetic clustering algorithm, SENCLUS clusters the sentences as close representation of the text topics using a fitness function based on redundancy and coverage, and applies a scoring function to select the most relevant sentences of each topic to be part of the extractive summary. The approach was validated using the DUC2002 data set and ROUGE summary quality measures. The results shows that the approach is representative against the state of the art methods for extractive automatic text summarization.
Monsters with a shortened vertebral column: A population phenomenon in radiating fish Labeobarbus (Cyprinidae)

The phenomenon of a massive vertebral deformity was recorded in the radiating Labeobarbus assemblage from the middle reaches of the Genale River (south-eastern Ethiopia, East Africa). Within this sympatric assemblage, five trophic morphs – generalized, lipped, piscivorous and two scraping feeders – were reported between 1993 and 2019. In 2009, a new morph with prevalence of ∼10% was discovered. The new morph, termed ‘short’, had an abnormally shortened vertebral column and a significantly heightened body. This type of deformity is common in farmed Atlantic salmon and other artificially reared fish, but is rare in nature. In the Genale Labeobarbus assemblage, the deformity was present exclusively within the generalized and lipped morphs. The short morph had between seven and 36 deformed (compressed and/or fused) vertebrae. Their body height was positively correlated with number of deformed vertebrae. In another collection in 2019, the short morph was still present at a frequency of 11%. Various environmental and genetic factors could contribute to the development of this deformity in the Genale Labeobarbus, but based on the available data, it is impossible to confidently identify the key factor(s). Whether the result of genetics, the environment, or both, this high-bodied phenotype is assumed to be an anti-predator adaptation, as there is evidence of its selective advantage in the generalized morph. The Genale “monstrosity” is the first reported case of a massive deformity of the vertebral column in a natural population of African fishes. “We have also what are called monstrosities; but they graduate into varieties. By a monstrosity I presume is meant some considerable deviation of structure in one part, either injurious to or not useful to the species, and not generally propagated. If it could be shown that monstrosities were even propagated for a succession of generations in a state of nature, modifications might be effected (with the aid of natural selection) more abruptly than I am inclined to believe they are. ” Darwin (1860, pp. 46, 426).
Vorinostat enhances gefitinib‐induced

Although different mechanisms of acquired resistance to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) have been reported in non-small cell lung cancers (NSCLCs), the optimal treatment for patients with acquired resistance has not been clearly defined. The purpose of this study was to investigate the antitumor effects of gefitinib in combination with vorinostat, a potent histone deacetylase inhibitor (HDACI), and their associated molecular mechanisms in relation to activating apoptosis in NSCLC. The treatment using a combination of vorinostat and gefitinib was more potent in promoting cell death by activating apoptosis than gefitinib alone in parental PC9 cells that harbor an EGFR-activating mutation (EGFR exon 19 deletion) and gefitinib‐resistant PC9 cells (PC9GR) with an EGFR T790M mutation. This combination induced heat shock protein 90 (HSP90) cleavage and reduced the level of HSP90 client proteins, including EGFR, MET and AKT, in PC9 and PC9GR cells. The addition of 4‐(2‐aminoethyl) benzenesulfonyl fluoride hydrochloride, a scavenger of reactive oxygen species (ROS), inhibited the degradation of HSP90 client proteins and HSP90 cleavage that was induced by co-treatment as well as the cleavage of caspase-3, caspase-8, and caspase-9 and cell death. We also observed that cleavage of HSP90 and its clients were blocked when caspases were inhibited. These results revealed that co‐treatment with vorinostat and gefitinib induced ROS-dependent caspase activation, leading to the downregulation of HSP90 clients through HSP90 cleavage. Collectively, our findings provide a new basis for strategies that combine vorinostat with an EGFR-TKI to reverse EGFR-TKI resistance in NSCLC.