Miracle-dz/UniFAR-FTUs huggingface dataset:
Employing teachers with disabilities: A multifaceted prism of school principals’ ethical dilemmas

The aim of this study was to identify the ethical dilemmas of school principals who employ teachers with different physical disabilities. By conducting 18 in-depth interviews with principals from different school levels and different sectors in Israel, we identified the ethical dilemmas that emerged and their causes. The findings reveal that principals who employ teachers with disabilities struggle with multifaceted ethical dilemmas. These dilemmas reflect the tension between the educational ideology that was demonstrated by the principals’ inclination for integration and inclusion versus the three different elements of the principals’ professional responsibilities, namely commitment to the educational system, commitment to the wellbeing of the school staff, and commitment to the wellbeing of the students. Comprehending these dilemmas and understanding the ways in which these values contradict each other is a critical step on the way to building a more inclusive school.
Haemostatic Effects of Ethanolic Extracts of Amaranthus hybridus on Wistar Rats

Introduction: Haemostasis refers to the arrest of bleeding due to vascular damage and involves the intrinsic and extrinsic coagulation pathways which converge at the point of fibrin activation to stop or minimize blood loss. Amaranthus hybridus contains a while range of nutritional, chemical and phytochemical constituents which gives it wide range of applications in folk medicine. Aim: To evaluate the effects of ethanolic extracts of Amaranthus hybridus on blood platelet count, prothrombin time (PT) and activated partial thromboplastin time (APTT) using Wistar rat models. Methodology: Twenty Four (24) adult male Wistar rats were used for the study. The animals were randomly divided into three (3) groups of eight (8) animals each. Oral administration of distilled water for the control group and ethanolic extracts of Amaranthus hybridus at 30 and 60 mg/kg lasted for twenty eight (28) days. Platelet count, prothrombin time (PT) and activated partial thromboplastin time (APTT) were determined using standard laboratory methods. Results: Ethanolic extracts of Amaranthus hybridus significantly increased platelet count at 30 mg and 60 mg/kg compared to the control animals (p<0.05). Also, it significantly reduced prothrombin time and activated partial thromboplastin time at 30 and 60 mg/kg in a dose dependent manner compared to control animals (P<0.05). Conclusion: The study shows that ethanolic extract of Amaranthus hybridus may have enhanced haemostasis as demonstrated by increased platelet count and reduced prothrombin (PT) and activated partial thromboplastin time (APTT) time.
Actividad Antioxidante de Hidrolizados Enzimáticos de Plasma Bovino Obtenidos por Efecto de Alcalasa® 2.4 L

The antioxidant activity of bovine plasma hydrolysates (BPH) obtained with Alcalase 2.4 L at different hydrolysis degrees was evaluated. The hydrolysates were fractioned through ultrafiltration membranes and were purified by ion-exchange chromatography, with subsequent reverse-phase high performance liquid chromatography. The results showed that the hydrolysates of bovine plasma obtained under the established hydrolysis conditions, had strong scavenging ability on 2,2-azino bis-(3-ethylbenzothiazoline)-6-sulfonic acid free radicals and a great reduction power compared with proteins of non-hydrolyzed plasma. Additionally, it was found that the antioxidant activity increases as function of the hydrolysis degree, and that this activity remains after in-vitro digestion. The processes described allow obtaining a peptid with antioxidant activities similar to that of conventional commercial antioxidants.
Spread of COVID-19 through Georgia, USA. Near-term projections and impacts of social distancing via a metapopulation model

Epidemiological forecasts of COVID-19 spread at the country and/or state level have helped shape public health interventions. However, such models leave a scale-gap between the spatial resolution of actionable information (i.e. the county or city level) and that of modeled viral spread. States and nations are not spatially homogeneous and different areas may vary in disease risk and severity. For example, COVID-19 has age-stratified risk. Similarly, ICU units, PPE and other vital equipment are not equally distributed within states. Here, we implement a county-level epidemiological framework to assess and forecast COVID-19 spread through Georgia, where 1,933 people have died from COVID-19 and 44,638 cases have been documented as of May 27, 2020. We find that county-level forecasts trained on heterogeneity due to clustered events can continue to predict epidemic spread over multi-week periods, potentially serving efforts to prepare medical resources, manage supply chains, and develop targeted public health interventions. We find that the premature removal of physical (social) distancing could lead to rapid increases in cases or the emergence of sustained plateaus of elevated fatalities.
Predicting Rentals of Bike-Sharing at Certain Time Using Machine Learning

The rental quantities of bike-sharing which have spread in every city all over our country vary greatly at different points of time. It is not easy for managers to discover the variation tendency of rental quantities at a certain time for operations. It is the prediction of rentals at a certain time that is exactly what this paper wants to study so that managers could perform business operations easily. The Washington D.C. Data Set is analyzed to predict the rental quantities in different time of day using machine learning algorithms in this paper. Firstly, correlation between the attributes is discovered by us. Factor analysis and multiple factors analysis are both performed on the attributes in the data set respectively. Secondly, three kinds of algorithms, Decision Tree, Random Forest and Support Vector Machine, are used to build models for data set training and predicting. Finally, RMSE (Root Mean Square Error) is used to evaluate the predicted results of the test set.
An Enterprise Public Opinion Emergency Response System

The public opinion emergency response on the Internet has become one of the effective means for modern enterprises to prevent and respond to network risks. This paper describes an enterprise public opinion emergency response system based on natural language processing (NLP) technology and search engine optimization technology. The proposed system consists of network information collection, data analysis, public opinion monitoring, strategy recommendation, and emergency response. The system's characteristics and technical architecture are introduced and some related core algorithms such as public opinion collection and filtering algorithms and public opinion response strategy recommendation algorithms are stated. Through an integrated network marketing solution, the system supports the response to public opinion response based on the results of big data analysis, and solves the empirical and timeliness problems that traditional online marketing has in the case of public opinion response.
Computational aspects of deep learning models for detection of eye retina abnormalities

Glaucoma, Cataract, Age-related macular degeneration, (AMD) Diabetic retinopathy (DR) are among the leading retinal diseases. Thus, there is an active effort to create and develop methods to automate screening of retinal diseases. Many CAD (Computer Aided Diagnosis) systems have been expanded and are widely used for ocular diseases. Recently, Deep Neural Networks (DNNs) have been adopted in ophthalmology and applied to fundus images, achieving detection of retinal abnormalities using retinal images. There are essentially two approaches, the first one is based on hybrid method that employs image processing for preprocessing, features extraction and post processing and Deep Neural Network (DNN) is only used for classification. The second is the fully method where DNN is used for both feature extraction and classification. Several DNN models and their variants have been proposed such as AlexNet, VGG, GoogleNet, Inception, U-Net, Residual Net (ResNet), DenseNet for detection of eye retina abnormalities. The aim of this work is to provide the background and the methodology to conduct a benchmarking analysis including the computational aspects and analysis of the representative DNNs proposed in the state of the art for detection DR diseases. For each DNN different characteristics and some performance indices (i.e. model complexity, computation complexity, inference time, memory use) and detection disease performance (i.e. accuracy rate), must be taking into account to find the more accurate model. The public domain datasets used for training and testing the DNN models such as Kaggle, MESSIDOR, and EyePACS are outlined and analyzed in particular in DR detection.
Photovoltaic Inverter Cluster Resonance Suppression Strategy Based on Active Harmonic Conductance Method

In order to suppress the resonance caused by the integration of photovoltaic inverter clusters into the grid, this paper proposes a photovoltaic inverter cluster resonance suppression strategy based on active harmonic conductance method. Firstly, based on the inner loop of the capacitor current under the PI controller and the double closed loop control of the outer loop of the grid current, the resonance suppression effect of the single inverter under the double closed loop control is analyzed. Then, while keeping the control system unchanged, the active filter conductance is added to the photovoltaic grid-connected system for multiple inverter resonance problems, which not only effectively suppresses the inverter low-frequency harmonic current from flowing into the grid-side system, but also improves The inverter is resistant to disturbances, thereby suppressing resonance problems caused by inverter clusters. Finally, the photovoltaic inverter cluster resonance energy is effectively suppressed by Matlab/Simulink software.
Monaural Speech Separation of Specific Speaker Based on Deep Learning

The traditional speaker separation system is usually only for two speakers to separate, which is difficult to apply to other mixed speech. In this paper, a mono-channel speech separation method for specific speakers is proposed. The specific speaker here is the target speaker that we want to separate from the mono channel. The training data comes from the mixture of the speech of the specific speaker with multiple non-specific speakers, which reduces the dependence between the target speaker and other speakers to some extent. When the test data is mixed by the target speaker and other non-specific people, the speech of the target speaker can also be separated well, and the model has certain robustness. This paper compares the separation performance of three kinds of network models based on Recurrent Neural Network (RNN), Long-Short Term Memory (LSTM) and Bidirectional Long-Short Term Memory (Bi-LSTM). The experimental results show that Bi-LSTM network has the best performance under Blind Source Separation Evaluation (BBS Eval). In addition, this paper explores the influence of the number of consecutive time-frequency amplitude frames input into the network on the separation results. The experimental results show that the separation performance is best when the number of input frames is 10.
Efficacy of adding midazolam to paracetamol in pain control of patients with a primary headache: A randomized, clinical trial study

OBJECTIVES: This study aimed to determine the effect of adding intravenous midazolam to paracetamol in the treatment of patients with primary headache referring to the emergency department. METHODS: In a randomized clinical trial, 120 patients (18–65 years old) with primary headache referring to the emergency department were enrolled. Patients were divided into two groups (case: paracetamol + midazolam and control: paracetamol + placebo), and the treatment was administered based on the treatment group. The severity of pain (according to the initial Visual Analog Scale) and at different times after the treatment onset (15, 30, and 60 min) and the degree of satisfaction with the treatment were compared in two groups of patients. RESULTS: There were no statistically difference between the two groups about the median of pain severity at the time of 0 min (case: 8 vs. control: 8), 15 min (case: 6 vs. control: 6), and 30 min (case: 4 vs. control: 4) with P > 0.05. Headache severity at 60 min after the treatment onset in the case group (median: 1) was less than that of the control group (median: 3). There was also a statistically significant difference in the median of patient satisfaction in the case group (case: 9 and control: 7 with P < 0.001) and satisfaction in the case group was higher. CONCLUSIONS: Based on our primary and secondary outcomes and the results of the study, we conclude that adding intravenous midazolam to paracetamol do not improve the therapeutic response ratio over time, but the effect of this intervention appeared after 1 h.
Anaesthetic management of a COVID-19 parturient for caesarean section - Case report and lessons learnt

The corona virus disease 2019 (COVID-19) pandemic sweeping across the world has severely strained health care resources (equipment and personnel) forcing us to rethink strategies to provide obstetric care while judiciously using resources. We describe the anaesthetic management of a mildly symptomatic, COVID-19 positive, 28-year-old second gravida with term pregnancy who was taken up for an elective caesarean section under subarachnoid block in a standalone maternity facility. Challenges encountered and modifications of standard procedures so as to optimize patient care and minimize exposure of health care professionals are also discussed.
Vestibular Incision Subperiosteal Tunnel Access with Titanium-Prepared Platelet-Rich Fibrin – A Golden Approach for Treating Multiple Recession Defects in Esthetic Zone

Gingival recession is defined as apical migration of marginal gingival tissue causing the exposure of root surface. Abnormal brushing techniques, trauma, anatomical presence of tooth, caries, and improper oral hygiene measures are some of the problems leading to gingival recession. Several treatment modalities such as coronary advanced flaps and free gingival grafts have been used for the treatment of gingival recession defects and showed good results. However, while treating multiple gingival recessions, some new treatment modalities were introduced in literature. Vestibular incision subperiosteal tunnel access (VISTA) as a minimally invasive technique for root coverage was introduced with various advantages such as no secondary surgical site needed for harvestment of donor tissue and it provides excellent esthetic results with decreased patient morbidity. The present case report emphasizes on the treatment of multiple gingival recessions in the maxillary anterior teeth region using VISTA with titanium-prepared platelet-rich fibrin.
Lekking in fallow deer

Bradbury & Gibson (1983) define leks as ‘assemblies of adult males which females visit solely for the purpose of copulation’. Although a relatively rare breeding system, lekking has been reported in a wide variety of taxa, including fireflies, butterflies, fish, frogs, manakins and grouse (see Loiselle & Barlow, 1978; Wittenberger, 1978; Bradbury, 1981; Lederhouse, 1982; Oring, 1982). Lek-breeding mammals include one bat (Bradbury, 1977), several antelope (see below) and possibly walrus (Fay, Ray & Kibal'chich, 1984). Nevertheless, the adaptive significance of lek-breeding is still poorly understood (Bradbury & Gibson, 1983).
Relative importance of nutrient availability and food chain for size and community composition in phytoplankton

In a field experiment, algal community structure and size distribution were assessed at different grazing pressure and nutrient supply. Our aim was to study the interactive effects of food web composition and nutrients on algal community structure. High grazing reduced algal biomass and cell numbers, but had no consistent effect on algal size, except at extremely high Daphnia abundance, which promoted large, filamentous, algal forms. At high fish predation, the grazer assemblage altered towards small, less efficient grazers (copepods, Bosmina), but no trend in algal size was recorded. In enclosures with low grazing and low nutrient supply, algal cell concentration, but not chlorophyll, was as high as in corresponding enclosures with nutrient supply, indicating the importance of food web structure. Algal size was reduced by nutrient supply, which promoted dominance by small, fast growing, algal forms.
Genetic differentiation and gene flow between wild and cultivated Prunus avium: An analysis of molecular genetic evidence at a regional scale

The presence of conspecific wild-type and cultivar populations has been a common landscape feature for centuries. As orchards generally continue to expand towards the natural forest, two important issues are raised: the potential reduction of cultivar genetic diversity compared to wild populations and the extent of gene flow between the two population types. These questions were addressed in a study of Prunus avium in northern Greece using nine simple sequence repeat loci to analyse genetic variation in 93 wild-type individuals and 21 cultivars representing the local cultivated germplasm. Results showed a significant reduction of genetic diversity parameters in the cultivated germplasm compared to natural populations. Bayesian, frequency-based and Markov chain – Monte Carlo analyses have revealed that the wild and cultivar groups are genetically divergent and that realized between-group gene flow is almost completely absent. This result was further verified by a principal component analysis showing a clear separation of the two groups in low multivariate space after a principal coordinate analysis. The significant disjunction in flowering time and a considerable geographic distance between the two groups could primarily account for the absence of substantial gene flow. These findings indicate that local wild cherry can provide a source of genetic variation for future breeding in the genetically restricted cultivar group.
Barrier enclosure for airway management in COVID-19 pandemic

The novel coronavirus pandemic is taking a tremendous toll on the lives of health care workers. The asymptomatic clinical presentation of coronavirus disease 2019 (COVID-19)[1] poses high risk during intubation and extubation when enormous droplet scatter is anticipated. Centres for Disease Control and Prevention recommends surface disinfection rather than fumigation or wide-area spraying of contaminated surfaces. [2] In view of the exponential rise in the number of COVID-19 cases, there are chances of improper disinfection of operating rooms (OR)/intensive care units (ICU). So we need additional barriers to reduce surface contamination and allow safe reuse of personal protective equipment (PPE) under circumstances of diminishing PPE supply.
Local genetic patchiness but no regional differences between Indo-West Pacific populations of the dogtooth tuna Gymnosarda unicolor

Physical barriers can have profound impacts on dispersal in marine species. Here, we investigate population structure and levels of relatedness among individuals of the coral reef associated fish, the dogtooth tuna Gymnosarda unicolor, collected from 15 sites across the Indo-West Pacific region. We screened 92 individuals for genetic variation at 13 nuclear microsatellite loci and the cytochrome c oxidase subunit 1 (COI) mitochondrial DNA (mtDNA) gene. We detected no genetic differentiation between ocean basins or between sites within ocean basins, suggesting G. unicolor possesses a highly mobile larval or juvenile stage. In addition, the lack of deep evolutionary mtDNA divergences suggests gene flow was also not limited historically. However, comparisons of relatedness between pairs of individuals revealed that individuals collected from the same site were more related to each other, on average, than individuals collected from different sites. Such patterns are consistent with chaotic genetic patchiness, a possible consequence of high variance in reproductive success and patchy, local recruitment.
Production and characterization of an enzymatic hydrolysate of skim milk lactose and proteins

Enzymatic hydrolysis of skim milk lactose and proteins was investigated in a batch reactor; the final aim is to produce a predigested dietary product. The use of yeast β-galactosidase, a vegetable protease, a fungal protease, and a bacterial protease was investigated. Sequential and simultaneous lactose and protein hydrolysis were studied in order to diminish incubation times. In the lactose hydrolysis, 90% conversion was obtained after 4 hr using reconstituted spray-dried skim milk, and after 3 hr using fluid pasteurized skim milk. In the simultaneous hydrolysis, 82% lactose hydrolysis and a substantial peptide hydrolysis with 80% of material smaller than 5,000 molecular weight (and high in small peptides) was obtained after 5 hr. This was adequate for the preparation of a specialized dietary product to be used in enteral hyperfeeding.
Quantitation of GAD67 Gene Expression in Prefrontal Cortex of Schizophrenia Patients Using the iCycler iQTM Detection System and Molecular Beacons

Introduction Schizophrenia is a severe mental illness that afflicts about 1% of the population (Strange 1992). Patients experience a variety of symptoms that have been divided into subgroups of positive symptoms (e.g., thought disorder, abnormal beliefs and experiences) and negative symptoms (e.g., deficiency of speech, loss of emotional response, reduced motor function). The etiology and pathophysiology of schizophrenia have been the focus of intensive research for decades. Convergent lines of evidence indicate that dysfunction of a specific area of the cerebral cortex — the dorsolateral prefrontal cortex — represents one of the central features of the pathophysiology of schizophrenia (Bunney and Bunney 2000). A synthesis of results from in vivo imaging and postmortem studies (Lewis et al. 1999) also suggests that prefrontal cortex dysfunction may be related to abnormalities in the connectivity between neurons in this region that are likely to involve GABAergic interneurons (neurons that synthesize and release the major inhibitory neurotransmitter in the brain, γ-aminobutyric acid or GABA). The synthesis of GABA is catalyzed by the enzyme glutamic acid decarboxylase (GAD). Molecular cloning studies have shown that in the adult brain, GAD exists in 2 isoforms, called GAD65 and GAD67, which are the products of 2 independently regulated genes. GAD65 and GAD67 are coexpressed in GABAergic neurons. Gene lesioning studies in mice (Condie et al. 1997, Kash et al. 1997) suggest that GAD67 is the major isoform and is responsible for the maintenance of basal GABA levels in cells, whereas GAD65 can be rapidly activated in times of high GABA demand.