Miracle-dz/UniFAR-FTUs huggingface dataset:
Biosynthesis of ZnO Nanoparticles from Aqueous Extract of Moringa Oleifera L.: Its Application as Antibacterial and Photocatalyst

ZnO nanoparticles were successfully synthesized by the biosynthesis method using water extract of Moringa leaf (Moringa oleifera L.) as a reducing agent and stabilizer as well as a capping agent. This study aimed to characterize ZnO nanoparticles and their application as antibacterial and photocatalyst. Characterization was carried out using Fourier Transform Infrared (FT-IR) Spectroscopy and X-Ray Diffraction (XRD). The biosynthesis ZnO nanoparticles have a hexagonal wurtzite phase with an average crystal size of 16.97 nm and a crystallinity level of 78.49%. Antibacterial activity of ZnO nanoparticles with concentrations of 3%, 6%, 9% resulted in an average inhibition zone of bacterial growth in S. aureus was 19.6 0.16; 21.8 0.33; 24.3 0.14 and in E.coli it is 9.87 0.2; 11.3 0.04; 11.57 0.06. The greater the concentration of ZnO nanoparticles, the larger the diameter of the inhibition zone. The result of photodegradation of methylene blue is greatest with variations in the mass of ZnO nanoparticles and the concentration of methylene blue is 95% with a nanoparticle mass of 120 mg, methylene blue concentration of 10 ppm, and an irradiation time of 150 minutes.
Comparison of three different tadalafil regimens for erectile dysfunction treatment in patients with diabetes mellitus microvascular complications

We aimed to compare the efficacy of three tadalafil regimens for patients with type‐2 diabetes mellitus (DM), at least one microvascular complication and erectile dysfunction (ED). Sixty patients attending our urology clinic with erectile problems and diagnosed with ED, having DM for at least 5 years, and at least one microvascular complication linked to DM were identified and randomly divided into three groups—Group I: used 5 mg tadalafil daily, Group II: used 20 mg tadalafil 2 h before sexual relations twice a week and Group III: used 5 mg tadalafil daily and an extra 15 mg tadalafil 2 h before sexual relations twice a week. After treatment, the median International Index of erectile function (IIEF‐5) scores were significantly higher in Group III (15) compared to Groups I (8.5, p = 0.01) and II (9, p = 0.035). The groups were comparable in terms of the percentage of positive responses to the sexual encounter profile (SEP) 2 and the Global Assessment Questionnaires (GAQ)‐1. However, the percentage of patients with positive responses to SEP‐3 (20%, 40% and 75%, respectively) (p = 0.002) and GAQ‐2 (20%, 45% and 75%, respectively) (p = 0.002) was significantly higher in Group III. Therefore, using a combination treatment (daily 5 mg + 15 mg when needed) to treat erectile function in patients with DM‐related ED in the first stage may be more efficient with the same reliability and greater patient satisfaction.
Derived objects, inner aspect and the structure of VP

The problem with the derivation given in (1) is that movement has occurred to a complement position, and a position which is a complement to the verb can be created only through thetaassignment. In other words, complement positions are projected from the theta-grid of the head. If this is a theta-position, however, it is not a possible landing site for movement. Further, the position cannot be created between D-structure and S-structure since this would involve changing the complement relations of the head, a violation of the Projection Principle. This forces an analysis of these constructions which does not involve movement of the embedded subject to the matrix object position, but rather the exceptional case assignment of accusative case by the matrix verb to the embedded subject. The principled unavailability of a movement analysis poses problems for languages where the positioning of the embedded subject is not ambiguous between the embedded subject position and the matrix object position. An example of this is found in Malagasy, a Western Austronesian language.
Analysis of the Index of Gender Inequality in the World by a Neural Approach

: The neuronal approach has interested a large number of researchers for analysis and in various fields. In this article, we use Kohonen Self-Organizing Map (SOM) which is an unsupervised neural network algorithm that projects high-dimensional data to predict dimension classification of the gender inequality index. This study covers 145 countries, demonstrates the relevance of the neural approach in this field of research. It was possible to determine an “optimal map” which involves a classification of countries and a view of the situation of inequalities in order to draw several relevant conclusions. The classification was carried out by the level of evolution of each dimension of the gender inequality index. Each group of countries classified in the same cell implies that these countries have suffered similar effects for the inequality indicators or that they have applied the same strategy to fight inequality. Grouping countries by zone shows, on the one hand, that countries with high inequalities are characterized by a strong correlation between dimensions. Second, African and Asian countries have the greatest deficit in education, health and the labor market.
Technical efficiency of Iraq's labour market

The assessment of the Iraqi employment market is highly required since the high level of unemployment rate which achieves 13.74% in 2019 and the economic crisis from which Iraq suffers. Thus, this paper aims to investigate the technical efficiency levels of the Iraqi Labor market by referring to a set of Stochastic Frontier Analysis models (namely time-invariant models and time-variant models developed by Greene (2005)). The sample is decomposed from fifteen regions for the years extended from 2010 to 2013 and 2019 to 2020. The results provide interesting insights such as the low level of efficiency across Iraqi governorates. The results are explained by the geopolitical circumstances and socioeconomic crisis which have a tremendous impact on Iraqi market employment. After assessing the levels of technical efficiency, we turn our attention to panel data analysis of the employment market in which we proceed to Fixed Effect and Random Effect Models. The main results reveal a significant impact of work supply on the employment rate whereas unemployment does not have a significant effect.
Deep Learning-Based Automatic Modulation Classification Over MIMO Keyhole Channels

Automatic modulation classification (AMC) is a significant part of cognitive communication systems. In early researches, likelihood-based (LB) and feature-based (FB) solutions were proposed for the AMC problem. With the developments in the data-driven approaches, a third method based on deep learning (DL) has recently gained prominence among AMC researchers. It is shown that convolutional neural network based classifiers are very efficient in the AMC for both single input single output (SISO) and multiple-input multiple-output (MIMO) systems. However, for most of the works in MIMO-AMC, the channel considered is full rank. This work addresses the problem of AMC over rank deficient channels such as a keyhole channel using a DL-based classifier. The classifier utilizes a CNN, which does not employ pooling layers or dropouts in the convolutional layers. To further improve the classification accuracy, decision cooperation as well as feature fusion is employed. In addition to the keyhole effect, this work investigates the effect of antenna correlation on DL-based AMC. A comparative study of the proposed method and the existing FB AMC method for the MIMO keyhole channel is also presented.
Domain Adversarial Neural Network-Based Intrusion Detection System for In-Vehicle Network Variant Attacks

A controller area network (CAN) bus that controls real-time communication and data transmission of electronic control units in vehicles lacks security mechanisms and is highly vulnerable to attacks. The detection effectiveness of existing In-Vehicle network intrusion detection systems (IDSs) is usually reliant on training samples of known attacks. Owing to the simple structure of the CAN bus protocol, attackers can easily create variants based on known attacks. In this study, we propose a CAN bus IDS based on a domain adversarial neural network, which can achieve high detection performance on unlearned variant attack data. In addition, we used feature fusion techniques to synthetically extract the features of the attack data to improve detection capability. The experimental results demonstrate that our proposed model has high performance and generalization ability in attack detection.
Performance Evaluation of Tef Varieties for Yield and Yield Related Traits in Traditional and Non-traditional Growing Areas Under Irrigation Production in Ethiopia

of Traits Areas Abstract: Tef is a foremost staple cereal crop with substantial contribution in the GDP of Ethiopia. Tef grain is highly nutritious gluten-free as well as high quality forage. However, yield losses of tef due to erratic rainfall and drought are estimated to reach up to 77%. Lodging is also the major bottleneck limiting tef quality and yield losses estimated at 30% -35%. Hence, the purpose of this research was design to evaluate, and recommend best performing tef varieties under irrigation farming system in both traditional and non-traditional tef growing areas in Ethiopia. The field experiment comprised 35 released tef varieties using randomized complete block design with three replications in 2m 2 plot size were evaluated at six locations (eight environments). The result revealed highly significant (p < 0.001) varietal difference for grain yield at all locations under irrigation. For non- traditional tef growing areas (Somali region), there was highly significant (p < 0.001) varietal difference for all recorded traits except panicle length. This finding indicates that the lodging index in tef is reduced when it is cultivated under irrigation production. The variety by location interaction effect in Somali region showed that there were highly significant (p < 0.001) varietal difference for plant height, days to maturity and harvest index. However, there was no interaction significant varietal difference for grain yield, above ground shoot biomass, lodging index, panicle length and days to head in the three locations of Somali region. There was no single variety demonstrating steady superiority for grain yield across all tested environments. However, variety Gamechis was the best varieties at five tested environments. Performance of tef variety in non-traditional tef growing area (Somali region) is encouraging both for small holder farmers and large-scale investors to grow tef in the area. Thus, cultivated tef in this region is crucial to ensure food security in region as well as in the country. Moreover, growing tef in non-traditional regions has vital role to get additional quality feed source for their animals where it is a major problem in the region. In addition to tef yield increment using irrigation production but may also reduce variability in production through improved control of the crop environment. Therefore, variety Gamechis, Boset, Kora and Quncho should be used under irrigation production both in non-traditional and traditional tef growing areas where the experiment was conducted and other similar agro ecological areas.
Kaposi’s Sarcoma-Associated Herpesvirus ORF50 Protein Represses Cellular MDM2 Expression via Suppressing the Sp1- and p53-Mediated Transactivation

The Kaposi’s sarcoma-associated herpesvirus (KSHV)-encoded ORF50 protein is a potent transcriptional activator essential for triggering KSHV lytic reactivation. Despite extensive studies, little is known about whether ORF50 possesses the ability to repress gene expression or has an antagonistic action to cellular transcription factors. Previously, we demonstrated that human oncoprotein MDM2 can promote the degradation of ORF50 protein. Herein, we show that abundant ORF50 expression in cells can conversely downregulate MDM2 expression via repressing both the upstream (P1) and internal (P2) promoters of the MDM2 gene. Deletion analysis of the MDM2 P1 promoter revealed that there were two ORF50-dependent negative response elements located from −102 to −63 and from −39 to +1, which contain Sp1-binding sites. For the MDM2 P2 promoter, the ORF50-dependent negative response element was identified in the region from −110 to −25, which is coincident with the location of two known p53-binding sites. Importantly, we further demonstrated that overexpression of Sp1 or p53 in cells indeed upregulated MDM2 expression; however, coexpression with ORF50 protein remarkably reduced the Sp1- or p53-mediated MDM2 upregulation. Collectively, our findings propose a reciprocal negative regulation between ORF50 and MDM2 and uncover that ORF50 decreases MDM2 expression through repressing Sp1- and p53-mediated transactivation.
Redesigning and Optimizing UCSF DOCK3.7 on Sunway TaihuLight

Molecular docking is the process of posing, scoring, and ranking small molecules at the binding sites of proteins to prioritize compounds for experimental testing. It is a widely-used computational method in the drug discovery process. However, it is a highly time-consuming procedure since a receptor may need to find favorable ligand orientations in billions of ligands. UCSF DOCK3.7 is one of the most widely used molecular docking applications. In this paper, we port and optimize UCSF DOCK3.7 on the Sunway TaihuLight supercomputer. To avoid the impact of load imbalance, we employ a producer-consumer strategy that can overlap I/O and computation in order to achieve high performance. Furthermore, we present a new binary file format to replace the mol2db2 file format for ligand storage and adopt xzip rather than gzip to compress ligand files. We show that our file format can reduce I/O time significantly while xzip saves significant storage. For the routines which determine the orientation of a ligand relative to the receptor, we present an improved algorithm to discard geometrically similar orientations. Furthermore, we fuse loops and compress memory usage to store data in fast Local Device Memory (LDM) in order to score ligand orientations with high efficiency. In addition, we propose a number of architecture-specific optimizations. Asynchronous data transfer and vectorization of computation are implemented to take full advantage of the SW26010 processor. Our experiments show that a speedup of 167 can be achieved by using the proposed strategies. Compared to a core of an Intel(R) Core(TM) i9-10900K CPU, our approach achieves speedups of 15 on a SW26010 core group. Furthermore, our implementation achieves strong scalability to hundreds of thousands of heterogeneous cores on the next-generation Sunway supercomputer.
Long Non-Coding RNAs: The New Frontier into Understanding the Etiology of Alcohol Use Disorder

Alcohol use disorder (AUD) is a complex, chronic, debilitating condition impacting millions worldwide. Genetic, environmental, and epigenetic factors are known to contribute to the development of AUD. Long non-coding RNAs (lncRNAs) are a class of regulatory RNAs, commonly referred to as the “dark matter” of the genome, with little to no protein-coding potential. LncRNAs have been implicated in numerous processes critical for cell survival, suggesting that they play important functional roles in regulating different cell processes. LncRNAs were also shown to display higher tissue specificity than protein-coding genes and have a higher abundance in the brain and central nervous system, demonstrating a possible role in the etiology of psychiatric disorders. Indeed, genetic (e.g., genome-wide association studies (GWAS)), molecular (e.g., expression quantitative trait loci (eQTL)) and epigenetic studies from postmortem brain tissues have identified a growing list of lncRNAs associated with neuropsychiatric and substance use disorders. Given that the expression patterns of lncRNAs have been associated with widespread changes in the transcriptome, including methylation, chromatin architecture, and activation or suppression of translational activity, the regulatory nature of lncRNAs may be ubiquitous and an innate component of gene regulation. In this review, we present a synopsis of the functional impact that lncRNAs may play in the etiology of AUD. We also discuss the classifications of lncRNAs, their known functional roles, and therapeutic advancements in the field of lncRNAs to further clarify the functional relationship between lncRNAs and AUD.
Microbiological Safety and Shelf-Life of Low-Salt Meat Products—A Review

Salt is widely employed in different foods, especially in meat products, due to its very diverse and extended functionality. However, the high intake of sodium chloride in human diet has been under consideration for the last years, because it is related to serious health problems. The meat-processing industry and research institutions are evaluating different strategies to overcome the elevated salt concentrations in products without a quality reduction. Several properties could be directly or indirectly affected by a sodium chloride decrease. Among them, microbial stability could be shifted towards pathogen growth, posing a serious public health threat. Nonetheless, the majority of the literature available focuses attention on the sensorial and technological challenges that salt reduction implies. Thereafter, the need to discuss the consequences for shelf-life and microbial safety should be considered. Hence, this review aims to merge all the available knowledge regarding salt reduction in meat products, providing an assessment on how to obtain low salt products that are sensorily accepted by the consumer, technologically feasible from the perspective of the industry, and, in particular, safe with respect to microbial stability.
Equations differentielles p-adiques et (phi,N)-modules filtres

The goal of this article is to show that the following two categories are equivalent (1) the category of filtered (phi,N,G_K)-modules (2) the category of (phi,Gamma_K)-modules over the Robba ring such that the Lie algebra of Gamma_K acts locally trivially. Furthermore, we show that under this equivalence, the admissible filtered (phi,N,G_K)-modules correspond to the etale (phi,Gamma_K)-modules, which gives a new proof of Colmez-Fontaine's theorem.
Workplace wellbeing among LGBTQ+ Australians: Exploring diversity within diversity

A wealth of research documents disparities in workplace outcomes between cisgender heterosexual employees and LGBTQ+ employees. However, few studies have examined how workplace wellbeing may differ among different subgroups within the LGBTQ+ umbrella – that is, the notion of ‘diversity within diversity’. The current study fills this gap in knowledge by theorising and testing differences in workplace wellbeing across nuanced sexual- and gender-identity groups. To accomplish this, we use unique survey data from the 2020 Australian Workplace Equality Index (AWEI) Employee Survey ( n = 5270 respondents and 146 organisations) and random-intercept multilevel regression models. Our results reveal significant differences in workplace wellbeing between different diversity groups. For example, LGBTQ+ employees identifying as gay/lesbian and as cisgender men generally report better outcomes than employees identifying with other minority identities. Overall, our findings call for workplace equity policies that target stigma towards plurisexual, gender non-conforming, and smaller and more invisible diversity groups.
Tuberculosis-Associated Anemia: A Narrative Review

Tuberculosis (TB) is an airborne illness that induces systemic inflammation. It often affects the lungs causing cough, fever, and chest pain. A commonly associated comorbid condition in TB is anemia. This review article has summarized various studies with an aim to gain a better understanding of pathogenesis and the role of cytokines that contribute to the development of anemia in TB. The study has gathered risk factors that enhance the likelihood of TB patients acquiring anemia. It has reviewed therapeutic modalities such as antitubercular therapy and iron therapy in an attempt to find which of them are effective in reducing the severity of anemia. This review article has also emphasized the importance of measuring hepcidin and ferritin and has touched upon the investigations that can be easily implemented.
Inverting sets and the packing problem

Given a set V, a subset S, and a permutation {pi} of V, we say that {pi} permutes S if {pi}(S) {intersection} S = {theta}. Given a collection S = (V; S{sub 1}., S{sub m}), where S{sub i} {improper_subset} V (i = 1,.,m), we say that S is invertible if there is a permutation {pi} of V such that {pi}(S{sub i}) {improper_subset} V -- S{sub i}. In this paper, we present necessary and sufficient conditions for the invertibility of a collection and construct a polynomial algorithm which determines whether a given collection is invertible. For an arbitrary collection, we give a lower bound for the maximum number of sets that can be inverted. Finally, we consider the problem of constructing a collection of sets such that no sub-collection of size three is invertible. Our constructions of such collections come from solutions to the packing problem with unbounded block sizes. We prove several new lower and upper bounds for the packing problem and present a new explicit construction of packing.
Construction of Pulmonary Embolism Prediction, Early Warning, and Precontrol MDT Collaborative Nursing Model Based on the Smith Model

The purpose of this study was to construct a multidisciplinary collaborative nursing model for pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model and evaluate the application effect and hospitalization satisfaction. 2,037 patients hospitalized in the thoracic surgery department from June 1, 2019, to May 31, 2021, were selected as the research subjects. The control group received routine pulmonary embolism prevention management, while the experimental group received safe, case-based, and programmatic multidisciplinary intervention management based on the Smith policy management model. The data were analyzed statistically. The experimental group's extubation and hospitalization time, D-dimer value, incidence of deep vein thrombosis, and pulmonary embolism on the seventh day after surgery were lower than those in the control group, and the satisfaction of hospitalization in the experimental group was higher than that in the control group. The implementation of the multidisciplinary collaborative nursing model of pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model can promote the preventive effect of pulmonary embolism risk of surgical patients in our department and effectively improve the satisfaction of hospitalization, which is worthy for further promotion.
Chordoma at the skull base, spine, and sacrum: A pictorial essay

Chordomas are rare tumors believed to be arising from the notochord remnant in the axial skeleton. Diagnosis is often difficult since they show overlapping imaging features with other more common disease including metastases. Since individualized papers are only discussing the imaging features at different locations, the aim of this pictorial review is to have a comprehensive review on the common imaging findings of chordomas along the entire neuroaxis with a series of pathological proven cases in a local tertiary hospital in Hong Kong.