Miracle-dz/UniFAR-FTUs huggingface dataset:
Maintained memory and long‐term potentiation in a mouse model of Alzheimer's disease with both amyloid pathology and human tau

One of the key knowledge gaps in the field of Alzheimer's disease research is the lack of understanding of how amyloid beta and tau cooperate to cause neurodegeneration. We recently generated a mouse model (APP/PS1 + Tau) that develops amyloid plaque pathology and expresses human tau in the absence of endogenous murine tau. These mice exhibit an age‐related behavioural hyperactivity phenotype and transcriptional deficits which are ameliorated by tau transgene suppression. We hypothesized that these mice would also display memory and hippocampal synaptic plasticity deficits as has been reported for many plaque bearing mouse models which express endogenous mouse tau. We observed that our APP/PS1 + Tau model does not exhibit novel object memory or robust long‐term potentiation deficits with age, whereas the parent APP/PS1 line with mouse tau did develop the expected deficits. These data are important as they highlight potential functional differences between mouse and human tau and the need to use multiple models to fully understand Alzheimer's disease pathogenesis and develop effective therapeutic strategies.
Bending response of porous advanced composite plates under thermomechanical loads

Abstract The new composite functionally classified materials (FGM) used in plates contain probably a porosity volume fraction which needs taking into account this aspect of imperfection in the thermo-mechanical behavior of such structures. A refined shear deformation theory is developed to investigate the thermo-mechanical bending response of porous advanced composite plates such as functionally graded plates by using Navier solution. This work presents a model that employed a new transverse shear function by decomposing the transverse displacements into two parts, the bending part and shear part, the simplified refined shear deformation theory has less unknowns than the first-order shear deformation theory, the higher-order shear deformation theory, the sinusoidal shear deformation theory and the quasi-3D theory, so its computational expenses are reduced. In addition, the new refined theory needs no shear correction factor. The comparisons of deflection, axial stresses, and transverse shear stresses of the porous FGM plates obtained by the proposed theory, these results are compared with others in the literature.
Sports Teacher Perception about Lake Sipin Sport Tourism Area in Jambi City

Purpose: This study aims to determine the perception of sports teachers about the Sipin Lake area which is used as Sport Tourism in Jambi City. Because making an object in an area that can be used as a sports area and a place of tourism can boost various fields, like in the field of sports, tourism, and education. Methodology: Using Mixed Methods. Where, the number of samples in this study was as many as 108 teachers who were around the area of Lake Sipin Sport Tourism in Jambi City using the Purposive Sampling technique. The instruments used were teacher perception questionnaire and semi-structured interviews. Data were then analyzed with the help of the SPSS 21 application to find descriptive statistics in the form of Mean, Min, Max, and category, and use interviews and documentation to strengthen the quantitative data that have been obtained through the questionnaire provided. Findings: The results of this study found that teachers have good perception, which is indicated by a dominant good result of 68.2% teachers, according to them by making Lake Sipin a Sport Tourism area will make students motivated to become rowing athletes who can make the school name even the region. Contribution and Recommendation: This research contributes to all elements, both sports, tourism, and education, by making the Sipin Lake object as sport tourism.
Amelioration of Salt Affected Soils and Improvement of Rice and Wheat Yields by Adding Compost and Foliar Spray of Zinc, Potassium and Compost Tea

Amelioration of salt-affected soils requires an integrated management approach, by eco-friendly environmental methods which help improve soil properties, increases crop yield and quality. Hence, a study was done to evaluate the performances of combined use of compost and foliar application of Zn, K and compost tea. In salt affected soil in the rice-wheat system. A field experiment at El Hamool district, Kafr El Sheikh governorate, Egypt was carried out during 2019 summer for rice and 2020 winter season for wheat. A split plot design with three replicates was performed. The main plots were occupied by levels of compost: C1 (2MgFed.-1), C2 (4MgFed.-1) and C3 (6MgFed.-1), (Fed= 0.41ha). Whereas, sub-plots were foliar application: control (T1), Zinc sulphate (T2), Mono potassium phosphate (T3), compost tea (T4), Zinc + potassium (T5), zinc + compost tea (T6), potassium + CT (T7) and Zn + PK + CT (T8). ECe and SAR) were significant decreased due to application of compost up to C3 (6MgFed.-1) while CEC and organic carbon were significantly increased by compost application, C3(6MgFed.-1). The highest results were recorded due to use of Zn+PK+CT and compost. The grain and straw yields of both rice and wheat were markedly increased due to application of compost and foliar nutrients. The highest values were noted with the interaction of C3 am and T8.Nitrogen uptake, N use efficiency and N-recovery for both rice and wheat were considerably increased due to application of compost and foliar treatments, the highest performance being observed in C3 coupled with T8.
Genotypic variation in response and dependency of Cajanus cajan (L.) Millsp., on arbuscular mycorrhizal fungi in a tropical Alfisol

Abstract Plant genotypes significantly differ in their growth characteristics and dependence on arbuscular mycorrhizal (AM) fungi for maximum growth and productivity at a given soil fertility level. Therefore, we examined the mycorrhizal dependency and response of seven pigeon pea (Cajanus cajan) genotypes (BRG–1, BRG–2, BRG–3, BRG–4, BRG–5, TRG–7 and Vamban–3) on native AM fungi. Plants of pigeon pea genotypes were grown in the presence and absence of native AM fungi for 45 days. At harvest, plant growth characteristics, root architecture, nodulation, AM fungal colonization, and plant nutrients were measured and nutrient uptake, nutrient use efficiencies and mycorrhizal dependency were calculated. The plant growth, root architecture, nodulation, and nutrient characteristics varied significantly among pigeon pea genotypes and were positively (except nutrient usage) influenced by AM fungi. The mycorrhizal dependency significantly varied among pigeon pea genotypes and ranged from 30.54% to 65.02%. The genotypes BRG–3 and BRG–4 were highly mycorrhizal dependent and accumulated maximum biomass under mycorrhizal conditions. Our results show that AM fungi in addition to improving plant growth and nutrient uptake can also modify the proportional allocation of biomass to shoot and root, root architecture, and nutrient use among pigeon pea genotypes.
IL-4 receptor targeting as an effective immunotherapy against triple-negative breast cancer

In many solid tumors including triple-negative breast cancer (TNBC), IL-4 receptor (IL-4R) upregulation has been shown to promote cancer cell proliferation, apoptotic resistance, metastatic potential and a Th2 response in the tumor microenvironment (TME). Immunosuppressive cells in the TME including myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) also express the IL4-R. We hypothesized that selective depletion of IL4-R bearing cells in TNBC may have dual cytotoxic and immunotherapeutic benefit. To selectively target IL-4R+ cells, we genetically constructed, expressed and purified DABIL-4, a fusion protein toxin consisting of the catalytic and translocation domains of diphtheria toxin fused to murine IL-4. We found that DABIL-4 has potent and specific cytotoxic activity against TNBC cells in vitro. In murine TNBC models, DABIL-4 significantly reduced tumor growth, splenomegaly and lung metastases, and this was associated with reductions in MDSC, TAM and regulatory T-cells (Tregs) populations with a concomitant increase in the proportion of IFNγ+ CD8 T-cells. The anti-tumor activity of DABIL-4 was absent in IL-4R KO mice directly implicating IL-4R directed killing as the mechanism of anti-tumor activity. Moreover, NanoString analysis of DABIL-4 treated TNBC tumors revealed marked decline in mRNA transcripts that promote tumorigenesis and metastasis. Our findings demonstrate that DABIL-4 is a potent targeted antitumor agent which depletes both IL-4R bearing tumor cells as well as immunosuppressive cell populations in the TME. STATEMENT OF SIGNIFICANCE In solid tumors like breast cancer, Interleukin-4 receptor (IL-4R) expression in the tumor microenvironment aids tumor growth and metastasis. IL-4R expression upon host immune cells further dampens antitumor immunity. In this study, we have genetically constructed a fusion protein toxin, DABIL-4, composed of the catalytic and translocation domains of diphtheria toxin and murine IL-4. DABIL-4 showed specific cytotoxicity against triple-negative breast cancer (TNBC) cells in vitro. DABIL-4 also markedly inhibited TNBC tumor growth and metastasis in vivo. The primary activity of DABIL-4 was found to be depletion of IL-4R+ immune cells in combination with direct elimination of tumor cells. In conclusion, DABIL-4 targeting of both tumor and immunosuppressive host cells is a versatile and effective treatment strategy for TNBC.
The Effect of Containment Measures on the Covid-19 Pandemic

Countries have implemented several containment measures to halt the spread of the 2019 coronavirus disease, but it remains unclear the extent to which these unprecedented measures have been successful. We examine this question using daily data on the number of coronavirus disease cases as well as on real-time containment measures implemented by countries. Results suggest that these measures have been very effective in flattening the “pandemic curve”, but there is significant heterogeneity across countries. Effectiveness is enhanced when measures are implemented quickly, where de facto mobility is curtailed, in countries with lower temperatures and population density, as well as in countries with a larger share of the elderly in total population and stronger health systems. We also find that easing of containment measures has resulted in an increase in the number of cases, but the effect has been lower (in absolute value) than that from a tightening of measures.
Genome-wide Prediction of Small Molecule Binding to Remote Orphan Proteins Using Distilled Sequence Alignment Embedding

Endogenous or surrogate ligands of a vast number of proteins remain unknown. Identification of small molecules that bind to these orphan proteins will not only shed new light into their biological functions but also provide new opportunities for drug discovery. Deep learning plays an increasing role in the prediction of chemical-protein interactions, but it faces several challenges in protein deorphanization. Bioassay data are highly biased to certain proteins, making it difficult to train a generalizable machine learning model for the proteins that are dissimilar from the ones in the training data set. Pre-training offers a general solution to improving the model generalization, but needs incorporation of domain knowledge and customization of task-specific supervised learning. To address these challenges, we develop a novel protein pre-training method, DIstilled Sequence Alignment Embedding (DISAE), and a module-based fine-tuning strategy for the protein deorphanization. In the benchmark studies, DISAE significantly improves the generalizability and outperforms the state-of-the-art methods with a large margin. The interpretability analysis of pre-trained model suggests that it learns biologically meaningful information. We further use DISAE to assign ligands to 649 human orphan G-Protein Coupled Receptors (GPCRs) and to cluster the human GPCRome by integrating their phylogenetic and ligand relationships. The promising results of DISAE open an avenue for exploring the chemical landscape of entire sequenced genomes.
Development and validation of a method for phenobarbital in serum: anticonvulsant pharmacotherapy monitoring

The therapeutic drug monitoring (TDM) is an important strategy for the effectiveness and safety of long-term pharmacotherapy, such as the use of phenobarbital as an anticonvulsant drug in epilepsy. In this sense, HLPC has been presented as a technique for the measurement of phenobarbital in serum. However, the ideal conditions for carrying out the method must be established for each laboratory reality. An analytical method using HPLC was developed and validated in order to identify and quantify Phenobarbital in blood. The chromatographic conditions were C-18 column (Shimpack XR-ODS 50L x 3.0), acetonitrile-water mobile phase (30:70, v v-1), 0.2 mL min-1 flow and reading wavelength of 210 nm. Linearity was established in the range of 2.5 to 80 μg mL-1, the linear correlation coefficient was 0.9981. The average of the coefficient of variation of the precision was 5.30%. The relative standard error of the accuracy was -2.17% and of the recovery coefficient was 97.83%. In all eleven patients, phenobarbital concentrations were below the therapeutic range. The tested method was selective, linear, precise, accurate and showed good recovery.
One-Dimensional Convolutional Neural Networks with Feature Selection for Highly Concise Rule Extraction from Credit Scoring Datasets with Heterogeneous Attributes

Convolution neural networks (CNNs) have proven effectiveness, but they are not applicable to all datasets, such as those with heterogeneous attributes, which are often used in the finance and banking industries. Such datasets are difficult to classify, and to date, existing high-accuracy classifiers and rule-extraction methods have not been able to achieve sufficiently high classification accuracies or concise classification rules. This study aims to provide a new approach for achieving transparency and conciseness in credit scoring datasets with heterogeneous attributes by using a one-dimensional (1D) fully-connected layer first CNN combined with the Recursive-Rule Extraction (Re-RX) algorithm with a J48graft decision tree (hereafter 1D FCLF-CNN). Based on a comparison between the proposed 1D FCLF-CNN and existing rule extraction methods, our architecture enabled the extraction of the most concise rules (6.2) and achieved the best accuracy (73.10%), i.e., the highest interpretability–priority rule extraction. These results suggest that the 1D FCLF-CNN with Re-RX with J48graft is very effective for extracting highly concise rules for heterogeneous credit scoring datasets. Although it does not completely overcome the accuracy–interpretability dilemma for deep learning, it does appear to resolve this issue for credit scoring datasets with heterogeneous attributes, and thus, could lead to a new era in the financial industry.
Explaining differences in retirement timing preferences between the solo self-employed and employees

PurposePrevious research has shown that self-employed workers are more likely than employees to retire late or to be uncertain about retirement timing. However, little is known about the underlying mechanisms. This study aims to fill this gap, by focusing on the explanatory role of various job characteristics – flexibility, autonomy, skills-job match and job security – for explaining differences in retirement preferences between the solo self-employed and employees.Design/methodology/approachData were used of 8,325 employees and 663 solo self-employed respondents (age 45–64) in the Netherlands, who participated in 2016 in the Study on Transitions in Employment, Ability, and Motivation (STREAM). The outcome variable distinguished between early, on-time, late and uncertain retirement preferences. Multinomial logistic regression models were estimated, and mediation was tested using the Karlson-Holm-Breen (KHB) method.FindingsThe solo self-employed are more likely than employees to prefer late retirement (vs “on-time”) and to be uncertain about their preferred retirement age. Job characteristics mediate 21% of the relationship between solo self-employment and late retirement preferences: the self-employed experience more possibilities than employees to work from home and to choose their own working times, which partly explains why they prefer to retire late.Originality/valueIn discussions about retirement, often reference is made to differences in retirement savings and retirement regulations between the solo self-employed and employees. The current study shows that differences in job characteristics also partly explain the relatively late preferred retirement timing of solo self-employed workers.
Low-Frequency Noise and Its Main Effects on Human Health—A Review of the Literature between 2016 and 2019

The authors gratefully acknowledge CAPES/Brazil (Process: BEX1684-13/2) for the financial support granted though a doctorate scholarship, the Project Lab2PT-Landscape, Heritage and Territory Laboratory-AUR/04509 and FCT through national funds and, when applicable, the FEDER co-financing, under the new partnership agreement PT2020 and COMPETE2020-POCI 01 0145 FEDER 007528.
Recognition of entrepreneurial opportunity using a socio-cognitive approach

Drawing on social cognitive career theory and institutional theory, we develop a multilevel and integrative model to examine the influence of entrepreneurial cognition factors (entrepreneurial self-efficacy and outcome expectations) on entrepreneurial opportunity recognition (EOR). We also consider the moderating effect of contextual factors (normative and regulatory dimensions) on the relationship between entrepreneurial factors and EOR. We use the information provided by both the Adult Population Survey of Global Entrepreneurship Monitor project (2006–2016) and the Economic Freedom of the World 2018 Annual Report of the Fraser Institute. After combining both sources, we applied a multilevel analysis to a sample of 293,126 entrepreneurs from 97 countries. We found that self-efficacy and outcome expectations positively influence EOR. The regulatory and normative dimension positively moderates the relationship between self-efficacy and EOR, but the effects of outcome expectations on EOR are not reinforced by any institutional factors.
Polar crystalline phases of PVDF induced by interaction with functionalized boron nitride nanosheets

Due to their unique structure and excellent physical properties, boron nitride nanosheets (BNNSs) are often used as nano-reinforcing fillers for polymeric composites. In this work, hydroxyl-modified boron nitride nanosheets (OH-BNNSs) and amino-functionalized boron nitride nanosheets (NH2-BNNSs) were blended with poly(vinylidene fluoride) (PVDF) via a solution casting method to form PVDF/OH-BNNS and PVDF/NH2-BNNS nanocomposites. Differential scanning calorimetry (DSC), wide angle X-ray diffraction (WAXD) and Fourier transform infrared spectroscopy (FTIR) show that the addition of OH-BNNSs has little influence on the crystal structure of PVDF, and non-polar α-crystals are mainly formed in the PVDF/OH-BNNS nanocomposites, whereas the incorporation of a small amount of NH2-BNNSs can cause exclusive formation of polar β- and γ-phases. X-ray photoelectron spectroscopy (XPS) and FTIR reveal that there exists a stronger interaction between PVDF and NH2-BNNSs than that between PVDF and OH-BNNSs in both solid and melt states, which is responsible for the transformation of the crystalline phase and the accelerated crystallization of PVDF/NH2-BNNS nanocomposites.
Pengaruh lingkungan kerja terhadap kepuasan kerja pegawai

Penelitian ini bertujuan untukmengetahui pengaruh lingkungan kerja terhadap kepuasan kerjapegawai pada Dinas Koperasi dan UMKM Kabupaten Bima. Jenis penelitian ini adalah asosiatif.Instrumen penelitian yang digunakan yaitu kuesioner dengan skala likert. Populasi yang digunakanyaituseluruh pegawai Dinas Koperasi dan UMKM Kabupaten Bima sebanyak 47 orang pegawaidengan sampel penelitian yaitu seluruh ASN (Aparatur Sipil Negara) Dinas Koperasi dan UMKMKabupaten Bima sebanyak 31 orang pegawai dengan sampling yang digunakan yaitu purposivesampling. Teknik pengumpulan data yang digunakan yaitu (1) observasi, (2) kuesioner, (3) wawancaradan (4) studi pustaka. Teknik analisa data yang digunakan yaitu uji validitas, uji reliabilitas, regresisederhana, korelasi sederhana, uji determinasi dan uji t (uji t dua pihak). Berdasarkan hasil penelitianmaka dapat di ambil kesimpulan bahwa terdapat pengaruh lingkungan kerja terhadap kepuasan kerjapegawai pada Dinas Koperasi dan UMKM Kabupaten Bima.
FeS-cluster coordination of vertebrate thioredoxin regulates suppression of hypoxia-induced factor 2α through iron regulatory protein 1

Iron-regulatory protein 1 (IRP1), a central regulator of iron metabolism in vertebrates, also affects cellular response to hypoxia. IRP1 binds to the iron-responsive element (IRE) in the mRNA encoding hypoxia-inducible factor (HIF) 2α, thereby blocking the translation of the HIF2α-mRNA, and allowing the transcriptional regulation of, e.g., erythropoiesis. Here, we characterize the oxidoreductase thioredoxin 1 (Trx1) as a new regulator of hypoxia signaling. Human and murine Trx1 complex iron-sulfur clusters using one of the active site cysteinyl residues and a vertebrate-specific additional cysteinyl residue outside the active site. FeS-Trx1 is inactive, activated apo-Trx1 reduces cysteinyl residues in the binding pocket of IRP1/apo-Aconitase 1, which allows IRP1 to bind IREs in regulated mRNAs. Therefore, translation of the HIF2α mRNA requires either sufficient iron supply or the lack of reducing power of the Trx system under iron-limiting conditions. FeS-Trx1 thus links both redox and iron homeostasis to hypoxia responses.
Influence of Kinesio tape on lower limb muscular activity after knee joint rehabilitation program

Kinesio tape is considered one of the most common techniques which using recently, where it is used as a therapeutic technique for pain relief, correction of joint position, prevention of oedema and injuries, improve range of motion and muscular activity for the individual. This study is a descriptive research design and aims to identify the effect of using Kinesio tape on the neuromuscular activity of quadriceps muscle after the rehabilitation program of the knee joint. The study sample consists of (10) players from different sports (football, basketball …etc.) and suffering from knee joint injuries. This sample was taken from Kafr-El sheikh and Kaleen club. Results showed that Kinesio tape doesn’t have any explicit effect on the neuromuscular activity of muscle but acts as a catalyst for muscle and promote a person’s feeling of psychological wellbeing and reassurance.When comparing results of using Kinesio tape during performing leg squatting and balance test with not using tape, founded that when performing leg squatting and balance test with using Kinesio tape, there were significant effects on muscle activity compared to not using it.
The Role of Cultural Orientation in Adolescent Identity Formation: Self-Construal as a Mediator

Cultural context has become one of the key factors in identity formation. Differences in cultural orientation cause differences in self-construal which influence identity formation. This research examined the role of self-construal as a mediator of the role cultural orientation in identity formation. This study recruited 569 participants aged 18-21 years old. The Utrecht-Management of Identity Commitments Scale, Culture Orientation Scale, and Self-Construal Scale were used to measure identity formation, cultural orientation, and self-construal. The results indicated that interdependent self-construal could mediate the role cultural orientation in identity formation and that significant others are important in identity formation. Peran Orientasi Budaya dalam Pembentukan Identitas Remaja: Konstruksi Diri sebagai Mediator