Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of HPLC with Fluorescence Detection for the assay of Aflatoxins from Aspergillus Strains of Section Flavi Originated from Grains in Upper Egypt

The aflatoxigenic ability of strains related to Aspergillus section Flavi isolated from peanut seeds, corn and wheat grains collected from Sohag and Assiut Governorates, Egypt was assessed. A simple and rapid high performance liquid chromatographic method with fluorescence detection is optimized and employed for the determination of the aflatoxins in peanuts, corn and wheat. Sample were extracted and the analytes were separated within 7 min. Validation of the proposed method was assessed to take into account the effect of possible components. The recoveries were in the range 89–103% and RSDs were < 3.9%. Analysis of the extracts of A. flavus strains confirmed the results obtained on CAM agar plates as blue color fluorescence at 365 nm. All A. flavus strains isolated from peanut (14), corn (11) and wheat (12) produced aflatoxin(s) B1, B2 and/or G2. Among the 11 strains analyzed from corn, one strain (AUMC 9793) gave the highest concentration for the three types of toxins (B1, B2 and G2). However, aflatoxin G2 was detected from strains originated only from corn (6 strains) and wheat (9 strains), but was missing in all the 14 strains analyzed from peanut samples. Among peanut strains, AUMC 9779 gave the highest concentration for both aflatoxins detected (B1 & B2). From the 12 A. flavus strains from wheat grains, 8 produced the three aflatoxins (B1, B2 and G2) of which the most potent strains yielded high concentration of aflatoxins B1 & B2 (one strain) or the three toxins (3 strains).
Quality Of Life in Female Patients with Systemic Sclerosis

Background: Autoimmune diseases, such as systemic sclerosis (SSc), affect the entire body. As the most noticeable aspect of the disease. SSc is characterized by a gradual fibrosis process that results in organ failure and significant damage to many organs such as the skin and joints. It is one of the most common causes of organ malfunction, disability, and even death. Objective: This study aimed to analyse the quality of life in Egyptian female SSc patients and their associated risk variables. Patients and Methods: During the course of this cross-sectional study, 21 patients from the Rheumatology and Rehabilitation Department of the Faculty of Medicine, Zagazig University Hospitals, were surveyed. The Systemic Sclerosis Quality of Life Questionnaire (SScQoL) and the modified Rodnan skin score (mRSS) were used to evaluate SSc patients' quality of life and disease activity (SAQ). Results: There was statistically significant relation between studied SSC patients' quality of life (SScQoL) and deformity (p=0.022), muscle wasting (p=0.027), dyspnea (p=0.023) and nausea and vomiting (p=0.038). Also, there was a statistically significant relation between SScQoL high score and type of medication especially cyclophosphamide and biologic treatment. There was a statistically significant higher Systemic Sclerosis Quality of life Score of Systemic Sclerosis patients and positive anti scleroderma. There was statistically significant and direct correlation between SScQol score and scleroderma assessment questionnaire (SAQ). Conclusion: Patients with SSc have plenty of other symptoms that point to a lowered quality of life. In our studied population, nausea, vomiting, dyspnea, deformity and muscle wasting were the most prominent features.
System for Analysis and Prediction of Trends in Cryptocurrency Market

In this article forecasting of daily closing price series of Bitcoin, Ripple, Dash, Litecoin and Ethereum crypto currencies, using data on prices (open, low, high), market capital and volumes using prior days is focused. The value conduct of cryptographic forms of money remains to a great extent neglected, giving new chances to scientists and business analysts to feature the likenesses and contrasts with standard monetary costs. Hence the paper is focused on this area. he results are compared with various benchmarks. Predictions are done using statistical techniques and machine learning algorithms. A simple linear regression (SLR) model that uses only a single-variable sequence of closing prices for forecasting, and a multiple linear regression (MLR) model that uses a multivariate sequence of prices and quantities at the same time. The simple linear regression (SLR) model for univariate serial forecasting uses only closing prices. Mean Absolute Percentage Error (MAPE) and relative Root Mean Square Error (relative RMSE) performance measures are considered. The accuracy achieved by the ARIMA model on our dataset is the highest, followed by Multivariable Linear Regression and LSTM.
Evaluating Tourists' Behavior In The World Heritage Sites at Luxor

Behavioral Intention, Luxor, Responsible Tourist Behavior, World Heritage Sites. The main aim of this research is to investigate the behavioral intention before traveling, to evaluate tourists’ behavior to determine to what extent they apply the principles of responsible tourism during traveling as well as evaluating tourists’ behavior during visiting the world heritage sites. This research is mainly based on using a questionnaire as a quantitative method that targeted the tourists who visited the world heritage sites in Luxor. Accordingly, the researcher distributed two hundred and five forms;179 forms were returned, and twelve forms were canceled because of not completing the answers. Thus, about 167 forms were valid, completed, and were included in the analysis. Moreover, Statistical Package Social Science (SPSS, V.22) is used for data input and analysis in descriptive statistics. the results illustrated that the tourists have the responsible behavioral intention and the tourists, to some extent, followed the responsible tourism but they needed more awareness. Therefore, the supreme council of antiques, There must be fines for bad behavior and rewards for a good one to encourage protecting World heritage Site; There must be a determination and monitoring of environmental impacts of tourists activities; the archeological sites should control tourists and make sure that they obey all laws and regulations; the management of the archeological site should develop educational and awareness materials for tourists in the World heritage sites and encouraging stakeholders to cooperate for activating the cultural world Heritage Initiative to protect the monuments of Luxor.
Design of a Soft Gripper With Improved Microfluidic Tactile Sensors for Classification of Deformable Objects

Tactile object recognition is vital for robotic handling systems; however, existing technologies that concentrate on tactile sensors with high modulus are not suitable for soft grippers to classify deformable objects. In this letter, we integrated an indenter layer into the traditional microfluidic tactile sensor to increase its sensitivity based on the lensing effect of human skin. For the application of the developed sensor, we built HustGripper, a tendon-driven soft gripper, where the sensor was bonded on the fingertip. Experiments on the tactile classification of the deformable objects were conducted to validate the performance of the sensor, where different indenters, exploratory procedures, and data processing approaches were considered to explore the key factor to determine the classification accuracy.
Results of an Interlaboratory Comparison of Current Harmonic Measurements Performed According to IEC 61000-3-2

– Results of an interlaboratory comparison of current harmonics measurements performed according to the international standard IEC 61000-3-2 are presented. A general description of the activity is provided. The circuit model of the traveling sample is described, and its SPICE simulation is compared with the robust average of measurement results. The reproducibility of this basic electromagnetic compatibility test method is quantiﬁed to verify if the reproducibility limits set by the standard IEC 61000-3-2 are met.
Development of the marine Holocene environment in a drowned paleovalley with final anthropic influence in the Cartagena Bay (Murcia, SE Spain)

Sedimentological, paleobiological, mineralogical, and geochemical analyses of a sediment core retrieved on the seafront of Cartagena Bay were performed after high-resolution sampling. A wide series of dates obtained through radiocarbon and amino acid racemization proved that the Holocene record on the analyzed core began at ca. 7300 yr cal BP. Reinterpretation of the marine seismic profiles indicated that the beginning of this transgression was channeled along erosive paleochannels excavated on a coastal plain of, at least, MIS5c age. The Holocene paleoenvironmental evolution consisted of a first period marked by marine conditions with strong inputs from a fan delta linked to the reorganized fluvial network that occurred after the sudden rise of the base level, which caused a growing sedimentary prism. Later, the full marine environment was reflected in the development of a Posidonia-Cymodocea meadow hosting a rich biodiversity of marine species (mollusks, foraminifera, ostracoda). Around 3800 yr cal BP, the area underwent a profound change and a silting process started to alter the conditions, turning the area into a paucispecific brackish marsh environment in which mud deposition was dominant. Since Carthaginian times, arrangement works locally affected the record, allowing the arrival of some marine species due to port work (dredging) undertaken to gain depth and showing anthropic influence.
Corporate Failure Risk Assessment for Knowledge-Intensive Services Using the Evidential Reasoning Approach

In this study, a new risk assessment model is developed and the evidence reasoning (ER) approach is applied to assess failure risk of knowledge-intensive services (KIS) corporates in the UK. General quantitative financial indicators alone (e.g., operational capability or profitability) cannot comprehensively evaluate the probability of company bankruptcy in the KIS sector. This new model combines quantitative financial indicators with macroeconomic variables, industrial factors and company non-financial criteria for robust and balanced risk analysis. It is based on the theory of enterprise risk management (ERM) and can be used to analyze company failure possibility as an important aspect of risk management. This study provides new insight into the selection of macro and industry factors based on statistical analysis. Another innovation is related to how marginal utility functions of variables are constructed and imperfect data can be handled in a distributed assessment framework. It is the first study to convert observed data into probability distributions using the likelihood analysis method instead of subjective judgement for data-driven risk analysis of company bankruptcy in the KIS sector within the ER framework, which makes the model more interpretable and informative. The model can be used to provide an early warning mechanism to assist stakeholders to make investment and other decisions.
Self-compassion in Nursing Practice

Self-compassion emphasize that all people are important and commendable paying little respect to their physical abilities or accomplishment. Self-compassion among the nurses is necessary because they have to pay more attention to the patients for better recovery. The study emphasizes that nurses should become broad minded and motivated, feel soft for others, developing an understanding, adopt the attitude to over-look the bad experiences to provide the compassionate care to the patients. Purpose: The present study was conducted for the purpose of clarifying and defining the concept of self-compassion, its components, models, benefits, impact on organization and how to enhance it. Method: In this study, the steps of concept analysis were as follows: Select a concept, determine the aims of the concept analysis, identify various definitions of the concept, determine the concept of self-compassion and identify methods for enhancing selfcompassion among nurses. All studies between the years 2015 and 2022 were reviewed for the purposes of this concept analysis, PubMed, Google search engines, Ovid, and ProQuest, were scanned and searched using the keywords. Conclusion: There is a nascent literature that examines the potential ability of various interventions to raise self-compassion or its components, including mindfulness. More research is needed to develop the construct validity of self-compassion, its component elements and how self-compassion and its various aspects can be fostered and cultivated. It is also important that future research explore ways to measure self-compassion other than self-report and to investigate the mechanisms of change in interventions designed to raise self-
Cardiac Complications In Neonates With Hypoxic Ischemic Encephalopathy

Introduction: Neonatal hypoxic ischemic encephalopathy (HIE). Aim of the work: The aim of this study is to: Assess cardiac complications in neonates with Hypoxic Ischemic Encephalopathy. Patients And Methods: This is a prospective study included 50 neonates (33 males and 17 females) aged from 1:5 days. Results: This study included 50 neonates (33 males and 17 females) aged from 1:5 days. Discussion: Hypoxic-ischemic encephalopathy (HIE). Conclusion and Recomindations : From the previous results it can be concluded that: The present study found that cardiac Troponin T level was significantly higher in neonates with HIE than normal neonates. Also, Troponin T level strongly correlated with degree of hypoxia.
Virtual Mammography Environment with Gamification Elements for Simulation and Training

This paper presents a virtual mammography environment aimed for desktop devices, developed in Unity3D Engine. The environment allows users to interact with a mammography system, operate the equipment, and take a simulated X-ray image of a virtual breast phantom. Elements of gamification, such as level evolution and reward system, were added to the application so that users could practice and learn the usage of real equipment, so that learning could be more enjoyable. The environment was modeled taking into account a good level of realism. For this, the equipment model used in the environment was based on a mammography system used in a local hospital.
An exploratory qualitative analysis of AI ethics guidelines

Purpose As Big Data and Artificial Intelligence (AI) proliferate, calls have emerged for ethical reflection. Ethics guidelines have played a central role in this respect. While quantitative research on the ethics guidelines of AI/Big Data has been undertaken, there has been a dearth of systematic qualitative analyses of these documents. Design/methodology/approach Aiming to address this research gap, this paper analyses 70 international ethics guidelines documents from academia, NGOs and the corporate realm, published between 2017 and 2020. Findings The article presents four key findings: existing ethics guidelines (1) promote a broad spectrum of values; (2) focus principally on AI, followed by (Big) Data and algorithms; (3) do not adequately define the term “ethics” and related terms; and (4) have most frequent recourse to the values of “transparency,” “privacy,” and “security. ” Based on these findings, the article argues that the guidelines corpus exhibits discernible utilitarian tendencies; guidelines would benefit from greater reflexivity with respect to their ethical framework; and virtue ethical approaches have a valuable contribution to make to the process of guidelines development. Originality/value The paper provides qualitative insights into the ethical discourse surrounding AI guidelines, as well as a concise overview of different types of operative translations of theoretical ethical concepts vis-à-vis the sphere of AI. These may prove beneficial for (applied) ethicists, developers and regulators who understand these guidelines as policy.
Electrochemical promotion of catalysis: the case of ethylene oxidation

The electrochemical promotion of catalysis (EPOC), also known as non-Faradaic electrochemical modification of catalytic activity (NEMCA), is a rather general phenomenon observed in about 30 years ago. This phenomenon has a strong impact on modern electrochemistry, heterogeneous catalysis and surfa ce science. The EPOC effect can be achieved with porous thin film electrodes interface d to solid electrolytes. A dramatic improvement in the catalytic activity has been obta ined by polarization of the interface via an electrical current or potential application. It has been studied for more than 100 catalytic reactions, including oxidations, reductions and iso merisations and using a variety of metal or metal oxide catalysts, and different types of solid e ectrolytes. In this review paper the main features and mechanisms of the electrochemical prom oti n effect are summarized and discussed.
Multilevel Attention and Multiscale Feature Fusion Network for Author Classification of Chinese Ink-Wash Paintings

How to effectively extract features with high representation ability has always been a research topic and a challenge for classification tasks. Most of the existing methods mainly solve the problem by using deep convolutional neural networks as feature extractors. Although a series of excellent network structures have been successful in the field of Chinese ink-wash painting classification, but most of them adopted the methods of only simple augmentation of the network structures and direct fusion of different scale features, which limit the network to further extract semantically rich and scale-invariant feature information, thus hindering the improvement of classification performance. In this paper, a novel model based on multi-level attention and multi-scale feature fusion is proposed. The model extracts three types of feature maps from the low-level, middle-level and high-level layers of the pretrained deep neural network firstly. Then, the low-level and middle-level feature maps are processed by the spatial attention module, nevertheless the high-level feature maps are processed by the scale invariance module to increase the scale-invariance properties. Moreover, the conditional random field module is adopted to fuse the optimized three-scale feature maps, and the channel attention module is followed to refine the features. Finally, the multi-level deep supervision strategy is utilized to optimize the model for better performance. To verify the effectiveness of the model, extensive experimental results on the Chinese ink-wash painting dataset created in this work show that the classification performance of the model is better than other mainstream research methods.
Bryostatin-1 Attenuates Ischemia-Elicited Neutrophil Transmigration and Ameliorates Graft Injury after Kidney Transplantation

Ischemia reperfusion injury (IRI) is a form of sterile inflammation whose severity determines short- and long-term graft fates in kidney transplantation. Neutrophils are now recognized as a key cell type mediating early graft injury, which activates further innate immune responses and intensifies acquired immunity and alloimmunity. Since the macrolide Bryostatin-1 has been shown to block neutrophil transmigration, we aimed to determine whether these findings could be translated to the field of kidney transplantation. To study the effects of Bryostatin-1 on ischemia-elicited neutrophil transmigration, an in vitro model of hypoxia and normoxia was equipped with human endothelial cells and neutrophils. To translate these findings, a porcine renal autotransplantation model with eight hours of reperfusion was used to study neutrophil infiltration in vivo. Graft-specific treatment using Bryostatin-1 (100 nM) was applied during static cold storage. Bryostatin-1 dose-dependently blocked neutrophil activation and transmigration over ischemically challenged endothelial cell monolayers. When applied to porcine renal autografts, Bryostatin-1 reduced neutrophil graft infiltration, attenuated histological and ultrastructural damage, and improved renal function. Our novel findings demonstrate that Bryostatin-1 is a promising pharmacological candidate for graft-specific treatment in kidney transplantation, as it provides protection by blocking neutrophil infiltration and attenuating functional graft injury.
Dissection of genetic architecture for tiller angle in rice (Oryza sativa. L) by multiple genome-wide association analyses

The rice plant architecture is determined by spatially and temporally domesticated tiller angle. The deeper insight into the genetic mechanism for rice plant architecture will allow more efficient light capture by increasing the planting density, reproducibility, and the ability to survive in a stressful environment. In this study, a natural population of 795 genotypes further divided into japonica and indica subpopulations, was evaluated for tiller angle. A significant variation with a wide range was observed. Genome-wide association analysis was performed by the general linear model (GLM), and compressed mix linear model (cMLM) for three populations to disclose the genomic associations. The population principal components and kinship matrix in 1,000 permutations were used to remove the false positives. The candidate genes were evaluated for their functional annotations and specific molecular pathways. The sequencing-based haplotype analysis was further performed to reveal the functional variation among candidate genomic regions. As a result, 37 significant QTLs with 93 annotated loci were identified. Among the loci, a known tiller angle controlling locus TAC1 was also identified. The introduction of the sequence pooling technique was observed fruitful to screen the 12 significant QTLs with 22 annotated loci. For ten of these loci, the functional variations were identified by haplotype analysis. These results were not only providing a better understanding of the genetic bases of rice plant architecture but also provide significant information for future breeding programs.
Nuclear-Mitochondrial Interactions

Mitochondria, the cell’s major energy producers, also act as signaling hubs, interacting with other organelles both directly and indirectly. Despite having its own circular genome, the majority of mitochondrial proteins are encoded by nuclear DNA. To respond to changes in cell physiology, the mitochondria must send signals to the nucleus, which can, in turn, upregulate gene expression to alter metabolism or initiate a stress response. This is known as retrograde signaling. A variety of stimuli and pathways fall under the retrograde signaling umbrella. Mitochondrial dysfunction has already been shown to have severe implications for human health. Disruption of retrograde signaling, whether directly associated with mitochondrial dysfunction or cellular environmental changes, may also contribute to pathological deficits. In this review, we discuss known signaling pathways between the mitochondria and the nucleus, examine the possibility of direct contacts, and identify pathological consequences of an altered relationship.