Miracle-dz/UniFAR-FTUs huggingface dataset:
Mediating Role of Perception of Job Insecurity on the Relationship between Psychological Contract Breach and Work Engagement

This paper attempts to examine the effects of psychological contract breach (PCB) on work engagement (WE) of employees. Unfortunately, Pakistan has the lowest work engagement rate (WE) i.e. 5 percent as compared to South East Asian countries (Indonesia, Thailand, Philippine, Singapore and Malaysia); Oceania countries (Austria and Newzeland) and South Asian countries (Sri Lanka, Nepal, India, Afghanistan, Kazakhstan and Kyrgyzstan) (Gallup, 2017). It is one of the few studies that has taken job insecurity as a mediator in the given relationship. Specifically, we perceive that job insecurity reveals through an interactive process in which negative perceptions, such as PCB make employees feel less valued in their workplace. The mediation model explained that exposure to breach lowers the work engagement of employees because of their high level of perceived job insecurity in the perspective of conservation of resource theory (COR). Breach and engagement relationship would not be recognized without variable, job insecurity, by this means proposing its indirect effect. Though work engagement is a widely researched topic but it is somehow ignored in the perspective of conservation of resource theory. By introducing the proposed model, the study attempts to address the research gap.
Relations of Power and Nonhuman Agency: Critical Theory, Clever Hans, and Other Stories of Horses and Humans

Critical Theory pioneered the theorization of human-animal relations, helping establish that agency extends beyond the human world. Nonhuman agency is now widely accepted within the “new materialisms” and beyond but there are growing calls for more critical approaches that consider why and how such agency is mobilized. These calls effectively bring together the concerns of “old” and “new” materialisms. I therefore return to Critical Theory, bringing its explanatory analysis, practical framework and future imaginary into conversation with more recent research into nonhuman agency. Together, they reveal how the relations between human and nonhuman actors shape and are shaped by their broader socio-political context. I suggest that paying closer attention to human-domestic animal relations in particular might help us resolve some of the issues at stake. Consequently, for illustrations to extend the analysis, the article turns to horses, a nonhuman group who occupy a unique place in our collective unconscious.
Effect of quercetin on biochemical parameters in letrozoleinduced polycystic ovary syndrome in rats

Purpose: To investigate the effect of quercetin, a natural flavonoid, on biochemical parameters in letrozole-induced polycystic ovary syndrome (PCOS) in rats Methods: Oral glucose test was performed with the aid of a glucometer. Estradiol, testosterone and steroidogenic enzyme activities were determined using standard protocols. Superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX) activities were determined by standard methods. Histological analysis was carried out with haematoxylin and eosin (H&E) staining. Results: Quercetin exerted protective effects against PCOS in the rat model by enhancing the levels of antioxidant enzymes, viz, CAT, SOD and GPX. Quercetin also prevented weight gain, and caused significant decline in serum glucose levels in PCOS rats. Furthermore, quercetin normalised estradiol and testosterone levels, as well t steroidogenic enzyme activities, but blocked letrozole-induced abnormalities in PCOS. It also exerted protective effects on the anatomy of the ovaries. Conclusion: These results indicate that quercetin exerts protective effects on letrozole-induced PCOS in rats. Thus, quercetin may be an important lead molecule for the treatment of PCOS Keywords: Letrozole, Quercetin, Polycystic ovary syndrome, Oxidative stress, Steroidogenic enzymes
IDENTIFICAÇÃO DE VARIANTES DO ONCOGENE E7 DO PAPILOMAVÍRUS HUMANO 16 EM AMOSTRAS CLÍNICAS DO NORDESTE DOBRASIL

RESUMO – Câncer cervical é causado pela infecção persistente pelo papilomavírus humano (HPV) de alto risco. A oncogenicidade do HPV está fortemente associada aos tipos virais e suas variantes, cujos polimorfismos em oncogenes virais podem estar envolvidos no risco de progressão maligna. A presença de polimorfismos pode levar à alteração da função biológica com consequências clínicas, além de prejudicar o controle do ciclo celular mediado por pRB. Em pacientes do Nordeste do Brasil, nosso estudo descreveu a presença de tipos de HPV e variantes de amostras cervicais por técnicas de PCR e sequenciamento, além de identificar polimorfismos no gene E7 de HPV-16. O HPV-16 ABSTRACT – Cervical cancer is caused by persistent high-risk human papillomavirus (HPV) infection. HPV oncogenicity is strongly associated with viral types and their variants, whose polymorphisms in viral oncogenes are involved in the risk of malignant progression. The presence of polymorphisms can be used in biological function with clinical consequences. In addition to impairing the control of the cell cycle mediated by pRB. In patients from Northeastern Brazil, our study described the presence of HPV types and variants of cervical samples by PCR and sequencing technique, as well as identifying polymorphisms, no HPV-16 E7 gene. HPV-16 was found to be the most prevalent type, followed by HPV-31 and HPV-58. Among the HPV-16 variants, such as C and D strains were detected mainly in high-grade cervical lesions. In addition, we identified four polymorphisms of the HPV-16 E7 gene. A non-synonymous polymorphism and three problems. New adaptive mutations can cause the virus to bypass the host's immune system and increase pathogenicity. These results added important data for the studies on a variability of E7, which could contribute to a better understanding of the diversity and infection of HPV.
Synthesis, biocompatibility and gene encapsulation of poly(2-Ethyl 2-Oxazoline)-dioleoyl phosphatidylethanolamine (PEtOx-DOPE) and post-modifications with peptides and fluorescent dye coumarin

Abstract Liposome surface modifications serve great potential applications of liposomes, for instance, increasing stability, bioactive liposome conjugates, and targeted drug, gene, and image agent delivery. In this study, novel targeted lipopolymers, peptide 18/peptide 563-poly(2-ethyl-2-oxazoline)-dioleoylphosphatidyl-ethanolamine (P18/P563-PEtOx-DOPE), have been demonstrated to be successfully synthesized. The structures of P18/P563-PEtOx-DOPE were confirmed by FT-IR spectroscopy, GPC, and 1H-NMR. In this strategy, poly(2-ethyl 2-oxazoline)-modified liposomes were firstly constructed with molecular weights of 3,500 and 5,800 Da. Then, we chose PEtOx5800-DOPE because it has been obtained better particle size (88.74 ± 0.6816) according to the DLS results. Then, peptides- and dye-PEtOx lipid-based nanovesicle (LN) were prepared by peptide-18, peptide-563, and 7-mercapto-4-methyl coumarin. Genetic material (pDNA) was encapsulated into the liposomes and evaluated the encapsulation of plasmid DNA with migration by using agarose gel electrophoresis. In vitro cytotoxicity experiment results on prostate cancer and breast cancer cell lines, parallelly with the healthy prostate (PNT1A) and breast (MCF10A) epithelial cell lines, cells showed insignificant toxic effects. Thus, we can suggest a novel PEtOx phospholipid thanks to this article and its integration with ligands, which great potential for gene transfer system. Graphical Abstract
Rapid tolerance‐aware design of miniaturized microwave passives by means of confined‐domain surrogates

The effects of uncertainties, primarily manufacturing tolerances but also incomplete information about operating conditions or material parameters, can be detrimental to the performance of microwave components. Quantification of such effects is essential to ensure a meaningful evaluation of the structure, in particular, its reliability under imperfect fabrication procedures. The improvement of the circuit robustness can be achieved by reducing sensitivity to geometry/material parameter deviations, which requires optimization of suitably chosen statistical performance metrics such as the yield. The prerequisite for the latter is statistical analysis. In the case of compact circuits, it is executed through full‐wave electromagnetic (EM) analysis. The fundamental difficulty, that is, the high CPU cost, can be alleviated by the employment of fast surrogate models, which is the method of choice for the majority of contemporary approaches. Despite its advantages, a practical challenge of surrogate‐assisted design is the initial computational overhead related to metamodel construction. As a workaround, this work proposes the employment of a recently introduced concept of constrained modelling, where the surrogate domain is confined only to contain the essential subsets of the parameter space. In the context of yield optimization, the domain needs to correspond to directions featuring maximum variability of the circuit responses (particularly the parts thereof that affect the yield value in the most significant way) with respect to its geometry parameters. The small volume of the domain spanned by such directions permits setting up an accurate model using a fraction of training data samples required by conventional methods. The proposed technique is demonstrated using a miniaturized microstrip rat‐race coupler with its yield optimized at the cost of just a few dozen of EM simulations of the circuit. EM‐based Monte Carlo simulations corroborate the reliability of the approach.
Morphological and molecular characterization of Lobophora declerckii and L. variegata (Dictyotales, Ochrophyta) on the Atlantic coast of Mexico

The Veracruz Reef System National Park (PNSAV) is located in the central region of Veracruz, off the coast of the municipalities of Veracruz, Boca del Río and Antón Lizardo. It is a complex and important system within the Gulf of Mexico, since it has been declared a biosphere reserve by UNESCO, a Ramsar wetland and an essential component of the southwestern Gulf of Mexico Reef Corridor. Lobophora contains 28 currently recognized species and has a pantropical distribution that includes the Atlantic, Pacific, and Indian Oceans in both hemispheres. Recently, some species have been identified from Western Atlantic Ocean, mainly in the Caribbean Sea. However, very little is known about Lobophora species diversity on the Mexican coast. In this study, morphological and molecular analyses (MAAT) using cytochrome c oxidase 3 (COX3) sequences as a barcode gene were used to study Lobophora spp. The results indicate that there are two species on the Mexican coasts, Lobophora declerckii and L. variegata. Lobophora declerckii represents a new record for the southwest of the Gulf of Mexico and, the presence of L. variegata was confirmed for the Mexican Caribbean.
Discovery of the role of a SLOG superfamily biological conflict systems associated protein IodA (YpsA) in oxidative stress protection and cell division inhibition in Gram-positive bacteria

Bacteria adapt to different environments by regulating cell division and several conditions that modulate cell division have been documented. Understanding how bacteria transduce environmental signals to control cell division is critical to comprehend the global network of cell division regulation. In this article we describe a role for Bacillus subtilis YpsA, an uncharacterized protein of the SLOG superfamily of nucleotide and ligand-binding proteins, in cell division. We observed that YpsA provides protection against oxidative stress as cells lacking ypsA show increased susceptibility to hydrogen peroxide treatment. We found that increased expression of ypsA leads to cell division inhibition due to defective assembly of FtsZ, the tubulin-like essential protein that marks the sites of cell division. We showed that cell division inhibition by YpsA is linked to glucose availability. We generated YpsA mutants that are no longer able to inhibit cell division. Finally, we show that the role of YpsA is possibly conserved in Firmicutes, as overproduction of YpsA in Staphylococcus aureus also impairs cell division. Therefore, we propose ypsA to be renamed as iodA for inhibitor of division. IMPORTANCE Although key players of cell division in bacteria have been largely characterized, the factors that regulate these division proteins are still being discovered and evidence for the presence of yet-to-be discovered factors has been accumulating. How bacteria sense the availability of nutrients and how that information is used to regulate cell division positively or negatively is less well-understood even though some examples exist in the literature. We discovered that a protein of hitherto unknown function belonging to the SLOG superfamily of nucleotide/ligand-binding proteins, YpsA, influences cell division in Bacillus subtilis by integrating metabolic status such as the availability of glucose. We showed that YpsA is important for oxidative stress response in B. subtilis. Furthermore, we provide evidence that cell division inhibition function of YpsA is also conserved in another Firmicute Staphylococcus aureus. This first report on the role of YpsA (IodA) brings us a step closer in understanding the complete tool set that bacteria have at their disposal to regulate cell division precisely to adapt to varying environmental conditions.
A Hierarchical Knowledge-based Joint Learning Framework for Recommendation

: Knowledge graphs (KGs), which provide rich semantic information, have proven to be effective in alleviating sparsity and cold start problems in recommender systems. Most existing KG-based methods concentrate on modeling relationship between users and items with constant item-attribute triplets, but neglect the particularity of the KG in the recommendation scenario, that is, the item-attribute triplets should have different importance. In this work, we propose a hierarchical knowledge-based recommendation model (HKRM), which exploits the item-attribute hierarchy and jointly learn knowledge representation with recommender system. By measure the proximity between items and attributes, we obtain two distributions: user preference and the candidate item's attributes importance. Then these two distributions are respectively transformed into the user representation and item representation, which are used in the recommender system in a duet matching way. To eliminate the domain difference, we propose a hypothesis based on distribution distance and a joint learning method to guide the learning of knowledge representation. We conduct extensive experiments on two datasets related to movies and books. The results demonstrate a significant improvement over the state-of-the-art baselines.
Role of leaders in building organizational readiness to change – case study at public health centers in Indonesia

Leaders play a strategic role in the process of organizational change. Various studies were conducted to show the role of leaders in succeeding change. One famous concept of leaders’ role was the Mintzberg managerial role, which divides the role of the leader into three main roles: interpersonal, informational, and decisional. This research was conducted to explore the leaders’ role in creating organizational readiness to change. The study was conducted at 40 government-owned public health centers in Indonesia, involving 190 midwives as respondents. The study results show that all three leader’s roles were well implemented by the head of the public health center with the best score in the informational role. However, organizational readiness to change at public health centers is not on the same level. The linear regression test indicates that the decisional role has the largest contribution in building the organizational readiness to change. The successfully implemented role of entrepreneurs, disturbance handlers, resource allocators, and negotiators was the key to the successful implementation of changes. Therefore, the advice given was the need for leaders to improve their decision abilities so that the organizational readiness to change becomes better. Acknowledgment The researcher thanked the Ministry of Research, Technology and Higher Education, Republic of Indonesia, for funding this research.
Genetic characterization of some Turkish sheep breeds based on the sequencing of the Ovar-DRB1 gene in the major histocompatibility complex (MHC) gene region

Abstract In this research, Ovar-DRB1 gene in the major histocompatibility complex (MHC) gene region was surveyed by DNA sequencing in some of the native sheep breeds that are reared in Turkey. A total of 80 samples were collected from eight different Turkish native sheep breeds, and these samples were used for DNA sequencing. The exon 2 region of Ovar-DRB1 in the MHC gene region was polymerase chain reaction (PCR) amplified and sequenced. A total of 25 new alleles were revealed in the Ovar-DRB1 gene in Turkish native sheep breeds with 24 variable sites; only 13 sites were parsimony informative. The average pairwise genetic distance was 0.029 % for the Ovar-DRB1 gene exon 2 region. The sequence variations at eight different positions (7026, 7036, 7040, 7053, 7059, 7069, 7131 and 7214) are found in all of the studied samples. G → C transversion at position 7081 is only seen in Akkaraman sheep breed, whereas T → C transition at position 7097 is only seen in one sample from the Akkaraman breed. Overall, two main groups were detected among the 25 alleles from Turkish native sheep breeds. All Daǧliç and Kivircik alleles and one allele from Karayaka, Malya and Sakiz are grouped together while all the other breeds are grouped in the other branch.
Tracking dynamic changes in Alzheimer’s disease brain proteome reveals ageing-independent damage in Drosophila

Alzheimer’s disease (AD), the most prevalent form of dementia, is a progressive and devastating neurodegenerative condition for which there are no effective treatments. Understanding the molecular pathology of AD during disease progression may identify new ways to reduce neuronal damage. Here, we present a longitudinal study tracking dynamic proteomic alterations in the brains of an inducible Drosophila melanogaster model of AD containing the Arctic mutant Aβ42 gene. We identified 3093 proteins from diseased flies and age-matched healthy controls using label-free quantitative ion-mobility data independent analysis mass spectrometry. Of these, 228 proteins were significantly altered by Aβ42 accumulation independently of age, are enriched for AD-associated processes and have distinct hub and bottleneck properties in the brain protein interaction network. We also demonstrate widespread ageing-independent brain proteome dysregulation in response to Aβ42, which affects the expression of proteins that are important for brain function and jmay explain the neuronal damage observed in AD.
Pharmacognostic and analytical assessment for Pterolobium hexapetalum (Roth.) Santapau and Wagh. – A dynamic Folklore therapeutic plant

The aim of the current study was to assess a scrupulous pharmacognostic cram is to enhance the constructive information with regard to its species identification, characterization and standardization of a dynamic folklore therapeutic plant Pterolobium hexapetalum. It is one of the largest scrambling shrubs belonging to the Leguminosae family having significant medicinal properties. The aerial part of the fresh and healthy plant materials was collected from the Maruthamalai hill, Coimbatore District with a strong traditional background. The confined name of the species is “Karuindu” used as medicine in Siddha, Ayurveda and folk medicine for treating various illnesses. The external morphology of study species, the anatomy of leaf and stem, physicochemical examination of plant powder, powder with diverse chemical reagents, fluorescence analysis of therapeutic powder, ash values, mineral studies, heavy metal analysis, extractive values, phytochemical analysis, GCMS analytical studies were examined with the aim of drafting pharmacopeial principles. The studied plant contains 19 bioactive chemical constituents which confirm the healing domination. The analytical assessment of study species authenticates the presence of various bioactive constituents with a broad range of remedial properties which is used to treat manifold muddle as well it provides a comprehensive insight regarding the phytoconstituents profile which could be browbeaten for the maturity of plant-supported drugs.
Factors influencing genetic variation in wild mice

The mouse is a premier model organism for mammalian biological research. They have been instrumental in studies illuminating processes of fundemental importance to genetics including the control of recombination and the process of speciation. However, most of these studies are based on laboratory mice, which are an artificial population with a complex relationship to wild mice. Studies of mammalian biology would benefit from understanding how history has shaped the genome of the present day mouse. In this thesis, I explore factors that contribute to patterns of genetic variation in wild mice, paying particular attention to the process of recombination. I use whole genome sequencing data from three wild populations: 20 French M. m. domesticus; 20 Taiwanese M. m. castaneus; and 10 Indian M. m. castaneus. In addition, I use 13 classical laboratory strains and 6 wild derived inbred strains. These data show that the French and Taiwanese populations have been through recent, severe population bottlenecks, are recipients of considerable migration, and are partially inbred, with about 15-20% of the genome recently homozygous. All of these features are absent from the Indian mice. Signatures of selection reveal that the Prl gene in Indian mice was the result of a full sweep originating from a highly diverged species of mouse. In terms of recombination, the linkage-disequilibrium based rate map of the French and Taiwanese mice is shown to be highly punctuate, while the Indian rate map is comparatively flat, and devoid of population level hotspots. The recombination landscape is shown to dominate nucleotide substitution, notably in the Indian mice, where it reverses a 2:1 strong (C/G) to weak (A/T) mutation bias in favour of a 2:1 weak to strong fixation rate. Dozens of long-extinct, and active, PRDM9 motifs are identified through a comparative genomic approach, which also reveals a highly localized picture of the distribution of GC-biased gene conversion. Separately, a low-coverage reference-panel free read-aware genotype imputation method named STITCH is presented, and shown to accurately impute genotypes in outbred laboratory mice and humans.
A Distributed Approach for the Implementation of Geometric Reconstruction-Based Visual SLAM Systems

SUMMARY Visual simultaneous localization and mapping (VSLAM) is a relevant solution for vehicle localization and mapping environments. However, it is computationally expensive because it demands large computational effort, making it a non-real-time solution. The VSLAM systems that employ geometric reconstructions are based on the parallel processing paradigm developed in the Parallel Tracking and Mapping (PTAM) algorithm. This type of system was created for processors that have exactly two cores. The various SLAM methods based on the PTAM were also not designed to scale to all the cores of modern processors nor to function as a distributed system. Therefore, we propose a modification to the pipeline for the execution of well-known VSLAM systems so that they can be scaled to all available processors during execution, thereby increasing their performance in terms of processing time. We explain the principles behind this modification via a study of the threads in the SLAM systems based on PTAM. We validate our results with experiments describing the behavior of the original ORB-SLAM system and the modified version.