Miracle-dz/UniFAR-FTUs huggingface dataset:
Context-Specific Genomic Selection Strategies Outperform Phenotypic Selection for Soybean Quantitative Traits in the Progeny Row Stage

Evaluating different breeding selection strategies for relative utility is necessary to choose those that maximize efficiency. Soybean [ (L.) Merr. ] seed yield and fatty acid, protein, and oil contents are all commercially important traits that display complex quantitative inheritance. A soybean population consisting of 860 F–derived recombinant inbred lines (RILs), genotyped with 4867 polymorphic single nucleotide polymorphism (SNPs) was used to compare phenotypic and context specific genomic selection (GS) strategies. To simulate progeny rows, each RIL was grown in a single plot in 2010 in Knoxville, TN, and phenotype was recorded. A subset of 276 RILs with similar maturity was then grown in multilocation, replicated field trials in 2013 to compare the performance of each selection method in field conditions. Notably, the preferred method for each trait was GS. Of the GS approaches evaluated, Epistacy performed best for yield, and BayesB and/or genomic best linear unbiased prediction (G-BLUP) were preferred for each of the other traits. Yield was the only trait for which the predictions had a large change when the number of SNPs and the number of RILs were randomly reduced for the G-BLUP model, with the best predictions occurring when RILs with different maturity that were not grown in 2013 were removed from the training set. These findings provide important information on how soybean breeders can maximize selections from the progeny row stage for yield and fatty acid, protein, and oil contents by using appropriate selection strategies.
El derecho de la mujer a la vivienda en España (2008-2017)

Resumen: El principal objetivo de este artículo es analizar la dimensión económica de la exclusión residencial entre las mujeres en España durante el periodo 2008-2017. A pesar de que el derecho de la mujer a una vivienda digna y la necesidad de desarrollar políticas para su cumplimiento gozan de un amplio reconocimiento en la agenda internacional, existe un abismo entre este y la realidad. En España, el estallido de la burbuja inmobiliaria en 2008 y la posterior recesión económica provocaron una grave crisis residencial que ha afectado con mayor intensidad a las mujeres, sobre todo, a las que viven solas y las jefas de familia de hogares monomarentales. Esta feminización de la exclusión residencial en España puede constatarse en la relación entre ingresos del hogar y costes de la vivienda, así como en la incidencia de los desahucios y las ejecuciones hipotecarias entre hombres y mujeres.
PENGARUH TINGKAT PENDAPATAN, LITERASI ZAKAT DAN KEPERCAYAAN TERHADAP MINAT MASYARAKAT DALAM MEMBAYAR ZAKAT PADA BAZNAS PROVINSI LAMPUNG

The purpose of this study is to determine the effect of income levels, zakat literacy and trust in community interest in paying zakat at BAZNAS in Lampung province. This study uses a sampling technique with a sampling purvosipe method with a total of 100 respondents. The method of data collection is by questionnaire while the method of analysis is by multiple regression analysis with SPSS version 20. Soffware The results show (1) income and trust have a significant positive effect on the interest in paying zakat; (2) zakat literacy has no effect on people's interest in paying zakat at BAZNAS; (3) income, literacy of zakat and trust simultaneously affect the interest in paying zakat
State Judgement Model of the Coal and Rock Medium and Its Engineering Application

In the loading and failure process of the coal and rock medium, with the increasing of the damaging and failure extent, the medium state gradually changed from the continuous, the quasicontinuous, and the discontinuous to the loose successively. To evaluate the damaging failure extent of the coal and rock mass and distinguish the state of the coal and rock mass medium, first, the medium state index was defined based on the acoustic wave propagation model. Then, based on the coal mass in the working face 8512 in the Chenjiagou Coal Mine in China, the acoustic character and the mechanical character experiments were conducted. Through experiments, the variation law of the ultrasonic wave velocity and the medium state index of the coal mass with the strain under the compressive state were acquired; with the increasing of the strain, the medium state indexes successively experienced the variation process including stabilising around 0, slow increasing, dramatic increasing, and stabilising around 1. Then, based on the variation law of the medium state index, the coal and rock mass medium state judgement model was constructed. This model was applied to judge the coal mass medium state. After it, the mudstones in the roof of the same working face were regarded as the research object, the mudstone medium state was divided into 4 types according to the medium state judgement model, namely, continuous, quasicontinuous, discontinuous, and bulk solid, and the mudstone failure state was basically consistent with the continuous, quasicontinuous, discontinuous, and bulk solid state. The adaptability and rationality of the judgement model was verified. Finally, engineering application of the judgement model was conducted. The distribution law of the top coal with different medium state was acquired. In the top coal that was 186 m away from the working face, it belonged to the continuous medium state. As for the top coal that was 6 m to 186 m far away from the working face, it was under the quasicontinuous medium state. For the top coal that was 3 m to 6 m far away from the working face, it was under the discontinuous medium state. For the top coal that was less than 3 m far away from the working face and behind the working face, it belonged to the bulk solid medium state. The state judgement model can successfully distinguish the medium state of the coal seam and mudstones in the roof in the working face 8512. This provided a new approach to evaluate the damaging failure extent of the coal and rock medium in the Chenjiagou Coal Mine.
Cell-type specific visualization and biochemical isolation of endogenous synaptic proteins in mice

In recent years, the remarkable molecular complexity of synapses has been revealed, with over 1000 proteins identified in the synapse proteome. Although it is known that different receptors and other synaptic proteins are present in different types of neurons and synapses, the extent of synapse diversity across the brain is largely unknown, mainly owing to technical limitations. Combining mouse genetics and proteomics we have previously reported highly efficient methods for purification of synaptic protein complexes under native conditions. In that approach, tandem affinity purification (TAP) tags were fused to the carboxyl terminus of PSD95 using gene targeting in mice. Here we report an approach that restricts tagging of endogenous PSD95 to cells expressing Cre recombinase. In addition, we developed a labelling strategy enabling visualization of endogenous PSD95 tagged by fluorescent proteins in Cre-expressing cells. We demonstrate the feasibility of proteomic characterisation of synapse proteomes and visualization of synapse proteins in specific cell types. We find that composition of PSD95 complexes purified from specific cell types differs from those extracted from tissues with diverse cellular composition. Therefore, these novel conditional PSD95 tagging lines will not only serve as powerful tools for precisely dissecting synapse diversity in specific subsets of regions/neuronal cells, but also provide an opportunity to better understand brain region-specific alterations associated with various psychiatric/neurological diseases. The newly developed conditional gene tagging methods can be applied to many different synaptic proteins and will thus facilitate research on the molecular complexity of synapses.
Finite strain relaxation and creep in coupled axial and torsional deformation

Abstract Because of extensive industrial applications of polymers, several continuum and material science studies have focused on the polymers' viscohyperelasticity characterization. Although finite element methods have powerful ability in simulating complex materials' mechanical behavior, involve high computational costs. Therefore in this article mechanical responses of polymeric viscohyperelastic materials are studied by examining simultaneous extension and torsion of a cylinder thorough proposing new semi-analytical solutions. A comparison between the results of this method and finite element ones reveals the efficiency of proposed solutions in viscohyperelastic materials' parameter calibration and geometrical parameters' change on time-dependent large deformations, under combined loading conditions.
Local-Scale Cereal Yield Forecasting in Italy: Lessons from Different Statistical Models and Spatial Aggregations

Statistical, data-driven methods are considered good alternatives to process-based models for the sub-national monitoring of cereal crop yields, since they can flexibly handle large datasets and can be calibrated simultaneously to different areas. Here, we assess the influence of several characteristics on the ability of these methods to forecast cereal yields at the local scale. We look at two diverse agro-climatic Italian regions and analyze the most relevant types of cereal crops produced (wheat, barley, maize and rice). Models of different complexity levels are built for all species by considering six meteorological and remote sensing indicators as candidate predictive variables. Yield data at three different spatial aggregation scales were retrieved from a comprehensive, farm-level dataset over the period 2001–2015. Overall, our results suggest the better predictability of summer crops compared to winter crops, irrespective of the model considered, reflecting a more intricate relationship among winter cereals, their physiology and weather patterns. At higher spatial resolutions, more sophisticated modelling techniques resting on feature selection from multiple indicators outperformed more parsimonious linear models. These gains, however, vanished as data were further aggregated spatially, with the predictive ability of all competing models converging at the agricultural district and province levels. Feature-selection models tended to elicit more satellite-based than meteorological indicators, with a preference for temperature indicators in summer crops, whereas variables describing the water content of the soil/plant were more often selected in winter crops. The selected features were, in general, equally distributed along the plant growing cycle.
Anti-Mycobaterial Potential of Crescentia cujete (Bignoniaceae)

In the present study antibacterial activity of aqueous and alcoholic extracts of stem bark and leaves of Crescentia cujete L. (Bignoniaceae) was tested against MDR isolates DKU-156 and JAL-1236 of M. tuberculosis, reference susceptible strain M. tuberculosis H37Rv as well as fast growing mycobacterial pathogen M. fortuitum (TMC-1529). The leaves and bark collected between spring and summer season were dried and extracts was prepared using three portions of the dried powdered bark and leaves. It was soaked separately in 500 ml of distilled water and ethanol (98%) for 72 h and refluxed and filtrates were concentrated under vacuum at 40 C to obtain the dry extracts. Reference drug susceptible strain M. tuberculosis H37Rv as control, multi-drug resistant isolates DKU-156, JAL-1236 and fast growing mycobacterial pathogen M. fortuitum (TMC-1529) were used during the present investigation. Antimicrobial assays were performed in Lowenstein Jensen (L-J) medium and Middlebrook 7H9 broth in BacT/ALERT 3D system (Sigma-Aldrich, St. Louis, USA). The aqueous and alcoholic extracts of stem bark and leaves were incorporated in the media. Susceptibility testing of MDR isolates was also performed against streptomycin in the same batch of media for comparison of cfu on drug free controls. The results of the present investigation clearly showed that the aqueous extracts of stem bark were more effective as compared to aqueous and leaf extracts and alcoholic stem bark and leaf extracts.
The Link between HLA-B Alleles and Causative Drugs in Vietnamese Patients with Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis

BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe cutaneous adverse drug reactions. Human leukocyte antigens (HLA) may play an important role in the pathogenesis of SJS/TEN. AIMS: This study aims to identify HLA-B alleles in Vietnamese patients with SJS/TEN and to investigate the possible link between HLA-B alleles and causative drugs. MATERIALS AND METHODS: Sixty patients including SJS (30 patients) and TEN (30 patients) were enrolled in a cross-sectional descriptive study at two hospitals in Hanoi, Vietnam, from July 2018 to July 2019. Clinical features and laboratory findings were noted, HLA-B alleles were analyzed by the polymerase chain reaction (PCR)-sequence-specific oligonucleotide assay and LuminexTM Multiplex Technology. RESULTS: The most common HLA-B allele was HLA-B*15:02 (41.7%) followed by HLA-B*58:01 (25%) and HLA-B*46:01 (15%). Of the 25 patients possessing HLA-B*15:02 allele, culprit medicines were carbamazepine (13 patients; 52%), traditional medicine (two patients; 8%), and unknown drugs (seven patients; 28%). Of the 15 patients carrying HLA-B*58:01 allele, there were 13 patients whose offending medicine was allopurinol. Of the eight patients whose culprit drug was traditional medicine, there were 6 patients (75%) carrying HLA-B*51:02. Patients who carry HLA-B*15:02 were found to have 4 times higher risk of developing carbamazepine-induced SJS/TEN as compared with the tolerant control group (OR=4.17; 95% CI=2.07–8.37; p < 0.001). CONCLUSION: HLA-B*15:02 was the most common HLA-B allele in Vietnamese patients with SJS/TEN. In traditional medicine-induced SJS/TEN patients, HLA-B*51:02 allele might play an important role. The link between the HLA-B genotypes and causative drugs may suggest physicians to avoid risk medications for certain patients.
A chromatin modulator sustains self-renewal and enables differentiation of postnatal neural stem and progenitor cells

It remains unknown whether H3K4 methylation, an epigenetic modification associated with gene activation, regulates fate determination of the postnatal neural stem and progenitor cells (NSCs and NPCs, or NSPCs). Here we show that the Dpy30 subunit of the major H3K4 methyltransferase complexes is preferentially expressed at a high level in NSCs and NPCs. By genetically inactivating Dpy30 in specific regions of mouse brain, we demonstrate a crucial role of efficient H3K4 methylation in maintaining both the self-renewal and differentiation capacity of postnatal NSPCs. Dpy30 inactivation results in deficiency in global H3K4 methylation, and disrupts development of hippocampus and especially the dentate gyrus and subventricular zone, the major regions for postnatal NSC activities. By in vitro assays on neurospheres from mouse brains as well as human and mouse NPCs, we show that Dpy30 is indispensable for sustaining the self-renewal and proliferation of NSPCs in a cell-intrinsic manner, and also enables the differentiation of mouse and human NPCs to neuronal and glial lineages. Dpy30 directly regulates H3K4 methylation and the induction of several genes critical in neurogenesis. These findings link a prominent epigenetic mechanism of gene expression to the fundamental properties of NSPCs, and may have implications in neurodevelopmental disorders. SIGNIFICANCE STATEMENT As a highly prominent epigenetic mark that is associated with gene activation and a number of neurodevelopmental disorders in human, the role of histone H3K4 methylation in the fate determination of neural stem cells is unclear. Result of this study uncover a profound role of this epigenetic modification in the fundamental properties of postnatal neural stem cells, including self-renewal and differentiation, and may have implications for a better understanding and treatment of a broad spectrum of neurodevelopmental disorders associated with H3K4 methylation modulators.
Genetic insights of Cholesterol and Atherosclerosis; Complex Biology

Atherosclerosis is multifaceted arterial disease involving collaboration of chromosomal and conservational factors, around seven million Americans are experiencing a heart attack during their lifetime. Many biomolecules play different roles in atherosclerosis such as 5-LO enzyme which play vital role in synthesis of leukotrienes inflammatory intermediates and proteins. Previous studies show that individuals suffering from coronary artery disease more commonly have C. pneumonia antibody than inhabitant’s controls. In recent years the genes and genetic polymorphism which are associated with atherosclerosis had been identified. Phospholipid transfer protein will subsequently decrease the HDL mass and cholesterol efflux capacity due to its overexpression and deletation. Our aim of this review is to demonstrate complex biology of atherosclerosis and effect of cholesterol in cardiovascular diseases.
Authentic Language Input in Foreign Language Teaching Materials: Advantages and Disadvantages

Following the domination of the communicative approach in foreign language teaching, the idea that language development is possible through message-oriented input has resulted in discussions about the kind of input presented to individuals during language teaching, and the use of authentic language teaching materials (tools) by integrating them as input into language teaching processes has become one of the major arguments of the communicative language teaching approach. In line with this, the present study aims to examine the concept of authenticity, which has an ever-increasing importance in foreign language teaching, as well as the advantages and disadvantages of authentic language teaching materials as rich sources of linguistic input within the context of the literature on foreign language teaching following a formative research methodology.
Molecular genetic analysis of leucine tRNA in relevance to type 2 diabetes mellitus

Background. Several point mutations in the mitochondrial DNA cause maternally inherited metabolic disorders. The most common type of mutation A3243G in the gene of transfer RNA leucine (tRNA Leu(UUR) ) is thought to be responsible for the prevalence of type 2 diabetes mellitus. This study was designed to analyze the tRNA Leu(UUR) gene of mtDNA of the diabetic individuals with familial history of diabetes to identify the point mutations A3243G. Material and methods. Saliva samples were preferred as a source of DNA to minimize the risk of infection. DNA was successfully extracted from their saliva. Samples of high-quality DNA was amplified with PCR and sequenced in Macrogen Inc. Korea. Results. The m.3243A>G mutation in mitochondrial tRNA Leu(UUR) gene was not observed. Conclusion. The result shows that the m.3243A>G mutation in mitochondrial tRNA Leu(UUR) gene is not frequent cause of type 2 and some other factors may be possible i.e. genetic, behavioral or environmental. It is recommended that the sample size for diabetic individuals need to be increased for a future study and screened for the mitochondrial as well as other mutations of nuclear origin.
Superhydrophobic coatings for aeronautical applications

Traditional anti-icing/de-icing systems, i.e., thermal and pneumatic, in some cases cannot be employed since they require an additional power consumption not always allowable, most of all in small aircraft. In these cases, the use of passive systems, able to delay the ice formation, or reduce the ice adhesion strength with no additional energy consumption is the most promising solution against the ice formation. This paper deals with the development, characterization and application of a superhydrophobic coating applicable as a common paint on several kind of substrates, usually employed in the aeronautical industry, such as composite, metallic, or sandwich, aiming at guaranteeing the protection of several parts of common aircrafts. The developed superhydrophobic coating is able to reduce the surface free energy and the work of adhesion of the treated substrates, by more than 90%.
Perspektif Psikologi Pengambilan Keputusan dalam Kepemimpinan Pendidikan

Penelitian ini bertujuan untuk menganalisis akuntabilitas kepemimpinan sekolah dalam proses pengambilan keputusan. Pengambilan keputusan berkaitan dengan tipe personalitas dan gaya kepemimpinan. Dalam lembaga pendidikan, pengambilan keputusan adalah bagian dari pengelolaan yang berorientasi pada perwujudan roda organisasi dan manajemen ekosistem pendidikan. Penelitian menggunakan pendekatan kualitatif dengan studi kepustakaan. Penelitian dilakukan dengan merekam literatur primer yang berkaitan dengan pengambilan keputusan secara partisipatif. Hasil penelitian menyimpulkan bahwa implementasi akuntabilitas didasarkan pada adanya otoritas kepemimpinan dan responsibilitas bawahan. Dalam hal ini, pengambilan keputusan secara partisipatif didasarkan pada peran pemimpin dan adanya persepsi dan aspirasi bawahan dalam pemecahan masalah, mencari alternatif, memformulasi dan memberikan informasi. This study aims to analyze the accountability of school leadership in the decision-making process. Decision making is related to personality types and leadership styles. In educational institutions, decision making is part of management that is oriented to the realization of the wheels of the organization and management of the education ecosystem. The research uses a qualitative approach with a literature study. The study was conducted by recording primary literature relating to participatory decision making. The results of the study concluded that the implementation of accountability was based on the existence of leadership authority and responsibility of subordinates. In this case, participatory decision making is based on the role of the leader and the perception and aspirations of subordinates in problem-solving, finding alternatives, formulating, and providing information.