Miracle-dz/UniFAR-FTUs huggingface dataset:
IN-VITRO ACTIVATION OF OVARIAN FOLLICULAR RESIDUAL RESERVE

The newly developed in-vitro activation (IVA) method provides a novel fertility treatment for patients with premature ovarian insufficiency. The IVA method pretends to promote growth of residual ovarian follicles at early stages of their development. Based on preliminary data, poor ovarian response (POR) patients with decreased ovarian reserve (DOR) who have multiple secondary follicles, IVA is a promising technique to promote growth of secondary follicle as well.
Insecticidal activity of ZnO NPs synthesized by green method using pomegranate peels extract on stored product insects

Green synthesis of nanomaterials is the most recent trend in nanotechnology since it takes into consideration the sustainable development and waste recycling, and it produces high value materials. Furthermore, the green synthesis excludes the use or production of toxic and hazardous chemicals to the environment. This work aimed to the green synthesis of zinc oxide nanoparticles (ZnO NPs) using pomegranate peels extract as a reducing and capping reagent instead of chemicals. Structural and morphological characterization of ZnO NPs was studied using X-ray diffraction (XRD), Fourier Transform Infrared-Attenuated Total Reflection (FTIR-ATR), High-Resolution Transmission Electron Microscopy (HRTEM) and Energy Dispersive X-Ray Spectroscopy (EDX). In addition to the application of ZnO NPs as a green insecticide to control two destructive stored product insect pests; the rice weevil Sitophilus oryzae (L.) and the Angoumois grain moth Sitotroga cerealella (Olivier). The results of XRD, FTIR-ATR and EDX confirmed the formation of ZnO NPs. Also, XRD and HRTEM affirmed that the size of synthesized ZnO NPs have very small size around 4nm. The toxicity studies showed that green synthesized ZnO NPs exhibited a progressive increase in mortality of S. oryzae and S. cerealella adults subjected to treated wheat grains by increasing exposure intervals and concentration. A post toxic effect on progeny counts of S. oryzae and S. cerealella adults exposed to three concentrations of ZnO NPs was observed. Adherence of ZnO NPs to the body surface of treated adults was visualized using Scanning Electron Microscopy (SEM). Images showed strong uptake and massively attachment of nanoparticles through different parts of insect body. The present work suggests that eco-friendly synthesized ZnO NPs are promising green insecticide to control S. oryzae and S. cerealella stored product insect pests.
The potential of international large-scale assessments for meta-analyses in education

Meta-analyses and international large-scale assessments (ILSA) are key sources for informing educational policy, research, and practice. While many critical research questions could be addressed by drawing evidence from both of these sources, meta-analysts seldom integrate ILSAs, and current integration practices lack methodological guidance. The aim of this methodological review is therefore to synthesize and illustrate the principles and practices of including ILSA data in meta-analyses. Specifically, we (a) review four ILSA data inclusion approaches (analytic steps, potential, challenges); (b) examine whether and how existing meta-analyses included ILSA data; and (c) provide a hands-on illustrative example of how to implement the four approaches. Seeing the need for meta-analyses on educational inequalities, we situated the review and illustration in the context of gender differences and socioeconomic gaps in student achievement. Ultimately, we outline the steps meta-analysts could take to utilize the potential and address the challenges of ILSA data for meta-analyses in education.
COVID-19, Oil Price, Bitcoin, and US Economic Policy Uncertainty: Evidence from ARDL Model

The pandemic of coronavirus (COVID-19) creates fear and uncertainty causing extraordinary disruption to financial markets and global economy. Witnessing the fastest selloff in the American stock market in history with a plunge of more than 28% in S&P 500 has increased the volatility of global financial market to exceed the level observed during the financial crisis of 2008. On the other hand, Bitcoin value has shown considerable stability in the last couple of months peaking at $10,367.53 in the mid of February 2020. In this context, the aim of this paper is to investigate the impact of COVID-19 numbers on Bitcoin price taking into consideration number of controlling variables including WTI-oil price, S&P 500 index, financial market volatility, gold prices, and economic policy uncertainty of the US. To do so, ARDL estimation has been applied using daily data from December 31, 2019 till May 20, 2020. Key findings reveal that the daily reported cases of new infections have a marginal positive impact on Bitcoin price in the long term. However, the indirect impact associated with the fear of COVID-19 pandemic via financial market stress cannot be neglected. Bitcoin can also serve as a hedging tool against the economic policy uncertainty in the long term. In the short run, while the returns of economic policy uncertainty have no impact on Bitcoin price, the growth in the new cases of COVID-19 infection and returns of financial market volatility have more positive significant impact on Bitcoin returns.
The Role of Bamboo Shoot Gigantochloa Apus Extract in Decreasing the IL-17/IL-10 Ratio Level in the Atherosclerosis Process

BACKGROUND: Atherosclerosis begins with injury to the endothelial, progressive, and increases by 3% per year since the age of a person passes 20 years. The ratio of the number of pro and anti-inflammatory cytokines can describe the development of the process of atherosclerosis so that the higher the ratio will increase the chance of atherosclerosis. AIM: The purpose of this study was to examine the effect of Bamboo shoot Gigantochloa apus (BSGA) extract on decreasing interleukin-17 (IL-17)/IL-10 level ratios in New Zealand White rabbits given an atherogenic diet. METHODS: This study uses BSGA extract freeze-dried aged 1–2 weeks and New Zealand White rabbits. Atherogenic feed uses 0.5% egg yolk and 5% pork oil which is added to the standard feed. Randomized pre- and post-test with control group design by dividing into four groups were used in this study. RESULTS: The mean ratio of IL-17 levels with IL-10 between before and after (p < 0.005) in all groups showed a significant difference. There was a trend of increasing the ratio between IL-17 levels and IL-10 in all groups and the highest increase occurred in the control group which was 420%. CONCLUSION: The higher the dose of BSGA extract administration could reduce the ratio between IL-17 levels and IL-10 and there is a correlation with a negative linear pattern between IL-10 and IL-17 with p = 0.034 which means that higher levels of IL-10 will reduce IL-17 levels.
Study of Epidemiology and Human Papilloma Virus Prevalence in Oral Cavity Cancers

Oral cavity cancers (OCC) are the most common malignancies in the subcategory of head and neck cancers, and represent the 6th most common cancer in the world. These cancers have become more frequent in individuals without a history of alcohol-tobacco abuse, which are the major risk factors. Other factors have been suggested, such as viral infections, but especially genetic alterations. This work establishes the epidemiological profile and researches the presence of viral DNA in OCCs. The epidemiology was highlighted with 105 patients using the Epi Info software. HPV DNA was sought in 50 samples of diseased tissue and blood by attempting to amplify its L1 region by PCR. At the epidemiological level, the results show a mean age of 53.2 years, a sex ratio of 0.8 and a low consumption of tobacco (16.2%) and alcohol (4.8%). HPV was not detected in any of the samples. Thus, the epidemiological profile of OCCs in Senegal is different from that in other countries, and HPV is not associated with its occurrence.
Diagnostic efficacy and radiation safety of Low Dose CT protocol in COVID-19 pandemic: An alternative for deficient RT-PCR

Background: In this study, we aim to assess the diagnostic capability of low-dose CT chest for detection and follow-up of COVID-19 pneumonia to enhance radiation protection and ensure patient safety when RT-PCR is not available. Methods : This prospective study was approved by the local ethics committee and informed consent was obtained. 86 patients were enrolled in this study with suspected COVID 19 infection. Non-contrast CT scan of the chest was done using a 320 multidetector CT machine. Low dose and standard dose techniques were done. Two experienced radiologists analyzed the imaging findings and give CORADS classification for each case blindly to each other. Results : The study involved 86 patients. 52 were scanned with low dose technique there were 34 men (65.4 %) and 18 women (34.6 %). 34 were scanned with standard technique there were 14 men (41.2 %) and 20 women (58.8 %). There was a statistically significant difference between low and standard-dose groups regarding CTDI volume, DLP, and radiation exposure (p =<0.001) with good diagnostic accuracy of low dose CT. As regards CT findings for low dose technique, GGO was detected by both observers more than consolidation in the two techniques while mixed GGO and consolidation was the least finding. Conclusions : As chest CT together with clinical and laboratory findings can help the diagnosis of COVID-19 as an alternative for deficient RT-PCR, we recommend the utilization of LDCT as it offers a significant reduction of radiation exposure with comparable efficacy to standard dose CT.
Study of waveform characteristics of scintillator detector excited by ultraviolet light-emitting diodes

Radioactive sources excite scintillators, causing them to emit fluorescence, and are thus widely used in studies of the performance of scintillators. Ultraviolet (UV) light-emitting diodes (LEDs) can also excite scintillators to produce fluorescence. In this paper, the waveform characteristics of a UV LED-excited scintillator detector are studied and compared with the characteristics obtained when using a radioactive source. Test results show that the trailing edge of the scintillation pulse excited by the UV LED has exponential decay characteristics that are similar to those obtained under 137Cs excitation. The light intensity of the UV LED shows a good linear relationship with the peak position of the pulse. Furthermore, a macroscopic model for the output waveform from the scintillator when excited by a UV LED is established and the model is modified based on the experimental results. Although the scintillator's response to the UV source cannot simulate its response to gamma-ray sources fully, we hope that this method can be used in preliminary testing of scintillation detectors or when the use of radiation sources is limited.
Comparative study between Open and Laparoscopic Appendectomy in Complicated Cases

Background: Acute appendicitis is the most common cause of the acute abdomen requiring surgery with a lifetime risk of 6%-8%, which is maximal in childhood and declines steadily with age as the lymphoid tissue and vascularity atrophy. The aim of the present study was to Compare between Open and laparoscopic appendectomy in complicated cases as regard post-operative improvement (Pain, leakage, sepsis, hospital stay, return to work). This study was a Prospective non randomized study which included100 patients (50 open technique , 50 laparoscopic technique ) from emergency department at Benha University Hospital and. Through one year started from 1 st of may 2020 to 30 th of april 2021.
Efficacy of Instructional Program on Clinical Nurse Educators Implementation of Cooperative Learning at Faculty of Nursing

Background: Cooperative learning plays a vital role to equip the nursing students with overall needed qualities and skills that suggest clear adoption and effective implementation from clinical nurse educators. Aim: To determine efficacy of instructional program on clinical nurse educators' implementation of cooperative learning at Faculty of Nursing. Subjects and method: A quasi experimental study design was used. Setting: Study was conducted at Faculty of Nursing, Tanta University including all seven academic nursing departments. Subjects: All available (n=80) clinical nurse educators included nursing demonstrators and assistant lecturers enrolled at Faculty of Nursing, Tanta University. Three tools were used; Tool I: Clinical nurse educators’ perception regarding cooperative learning implementation Questionnaire. Tool II: Knowledge questionnaire about cooperative learning implementation. Tool III: Cooperative learning implementation observational checklist. Results: Pre-instructional program, majority (83.7%) of clinical nurse educators had low perception level regarding cooperative learning implementation. Majority (88.7%) of clinical nurse educators had poor knowledge level preinstructional program, while post-instructional program high percent (77.5%) of them had good knowledge level and 96.0% of them showed good practice level. Conclusion: Postinstructional program most of clinical nurse educators had good knowledge level with significant improvement compared to pre-instructional program. Also, majority of them showed good practice level regarding implementation of cooperative learning in clinical sessions. Recommendations: Conduct in-service training programs and workshops for qualifying and encouraging clinical nurse educators for using cooperative learning in their clinical sessions.
Classification of rice seed variety using point cloud data combined with 
deep learning

Rice variety selection and quality inspection are key links in rice planting. Compared with two-dimensional images, three-dimensional information on rice seeds shows the appearance characteristics of rice seeds more comprehensively and accurately. This study proposed a rice variety classification method using three-dimensional point cloud data of the surface of rice seeds combined with a deep learning network to achieve the rapid and accurate identification of rice varieties. First, a point cloud collection platform was set up with a Raytrix light field camera as the core to collect three-dimensional point cloud data on the surface of rice seeds; then, the collected point cloud was filled, filtered and smoothed; after that, the point cloud segmentation is based on the RANSAC algorithm, and the point cloud downsampling is based on a combination of random sampling algorithm and voxel grid filtering algorithm. Finally, the processed point cloud was input to the improved PointNet network for feature extraction and species classification. The improved PointNet network added a cross-level feature connection structure, made full use of features at different levels, and better extracted the surface structure features of rice seeds. After testing, the improved PointNet model had an average classification accuracy of 89.4% for eight varieties of rice, which was 1.2% higher than that of the PointNet model. The method proposed in this study combined deep learning and point cloud data to achieve the efficient classification of rice varieties.
Greater Nursing Role for Enhanced Post-Percutaneous Coronary Intervention Management

Abstract Percutaneous coronary intervention (PCI) has increasingly been used in management of coronary artery diseases (CAD). Coupled that with an increasing incidence rate of CAD has augmented the hospital burden with consequential post-PCI patient management problems and dissatisfaction. Nursing care has a key role to play in upgrading the healthcare services and raising patients’ satisfaction through enhanced patient education and engagement. In this regard, nursing-led intervention has shown some success in three main domains: risk reduction; psychological improvement; and quality of life. Urgent efforts are needed to formulize a structured follow-up with enhanced nursing role in post-PCI management to raise quality of healthcare.
Patterns of concomitant use of Ayurveda and conventional anti-diabetic formulations - Experiences at a tertiary care Ayurveda hospital, India

Background: Majority of the population relies on traditional medicines for many of their health related problems. Particularly individuals with chronic illness like diabetes mellitus (DM) are more likely to simultaneously use herbal medicines. Many of such users believe that traditional medicines are natural and therefore safe, but this is a dangerous over simplification. Some herbal medicines may be associated with adverse effects, which include interactions with prescribed drugs. Information on such concomitant use of anti-diabetic drugs along with Ayurveda medicines is limited in Indian scenario. Aims and objectives: To survey the patterns of concomitant use of Ayurveda and conventional anti-diabetic drugs by diabetic patients attending an out-patient department of a tertiary care teaching hospital in New Delhi, India through a validated questionnaire. Materials and methods: This is a questionnaire-based survey, carried out after the approval of the Institutional Ethics Committee, subsequently registered at CTRI. A questionnaire to assess the pattern of concomitant use was developed; content was validated and pre-tested by a pilot study in 40 patients, further refined and used in the survey. The data was analyzed to evaluate the patterns of concomitant use of Ayurvedic and conventional anti-diabetic drugs. Results: About 95.9% of diabetic patients were taking herbo-mineral formulations concomitantly with conventional anti-diabetic drugs. Although 45.3% of diabetics were using Ayurveda interventions under the supervision of qualified AYUSH physicians, remaining involved in procuring the drugs over the counter (OTC) or from the local vendors. In majority of these instances, the use of Ayurveda formulations was not communicated with their physicians. Conclusion: The observations reveal that a majority of the diabetics (95.9%) were taking one or the other form of herbal preparations along with their conventional anti-diabetic drugs and about 44% among them were using these concomitantly. Thus, generating awareness on good practices of drug use seems to be essential.
Morphological and Diagnostic Imaging Studies on Pelvic Cavity of Egyptian Female Baladi Goat (Capra hircus)

This presented study is designed to provide an in-detailed anatomic reference to the pelvic cavity of the female baladi goat through the topographical anatomy, cryo-sectional anatomy, computed tomographic examination (CT) and ultrasonographic evaluation. In addition to this, recording the different diameters of the pelvis. This study was set on thirteen healthy female baladi goats weighing 20– 35 kg and age range from 8-18 months. The morphology of pelvic organs was particularly detailed through many CT scans and compared by cryo-cross sectional anatomy. The cadaver was frozen. then sliced at 3cm apart after that the cryosections were cleaned then photographed to be matched with the closest CT image to make it easy to identify accurately different structures. CT images were used to investigate female pelvis and its related viscera (part of rectum-uterus-vaginaurethra-urinary bladderpart of ureter). The dorsal boundary of pelvic cavity was long and it continued to third caudal vertebrae. The vesicogenital pouch was longer than vesicopubic and recto genital pouches. different pelvic diameters are recorded. Two-dimensional ultrasonographic evaluation considered complementary to other diagnostic modalities in pelvic cavity configuration. Ultrasonography can easily differentiate between different soft tissue depending on its characteristic components of basic tissue. Finally, it could be proved that the different diagnostic imaging as CT and ultrasonography contribute greatly in veterinary practice as the data obtained from diagnostic imaging can be used as a diagnostic tool and baseline data for educational ,clinical and research purposes . Beside that it can be used to evaluate the female goat reproductive performance specially in prediction of dystocia through examination of the pelvis.
Small-area moving ratios and the spatial connectivity of neighborhoods: Insights from consumer credit data

Communities share challenges with the neighborhoods to which former residents move and the neighborhoods from which new residents arrive. A lack of migration data for small geographic areas, however, makes it difficult to identify places that share populations over time. This article uses longitudinal consumer credit data to evaluate the spatial connectivity of neighborhoods. The paper develops a methodology for the construction of Small-Area Moving Ratios (SMvRs), motivating the approach with two applications: (1) the visualization of residential mobility ties across Massachusetts neighborhoods and (2) the application of a community detection algorithm to identify communities of strongly interconnected places. The research produces novel evidence showing that the connectivity between neighborhoods differs for socioeconomically advantaged versus for disadvantaged movers. This work shows how longitudinal, geolocated business administrative datasets can be repurposed to produce planning-relevant insights.
Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model

This study developed and empirically tested a model to predict the factors affecting patients’ behavioral intentions to use a mobile health education website. It explored the behavioral intention to use a mobile health education website from the perspective of consumers by extending the Unified Theory of Acceptance and Use of Technology 2 model with the addition of mobile self-efficacy (M-SE), use motivation, and mobile literacy as moderators. For this purpose, variance-based structural equation modeling was used to analyze data collected from a sample of 1,649 patients at a hospital in Taoyuan, Taiwan. Partial least squares regression was used for model and hypothesis testing. The results revealed that (1) performance expectancy, effort expectancy, social influence, facilitating conditions, and habit were key predictors of the behavioral intentions of patients to use a mobile health education website; (2) M-SE had positive associations with effort expectancy; (3) use motivation was a significant determinant of both performance expectancy and effort expectancy; and (4) mobile literacy had a significantly negative moderating effect on the relationship between performance expectancy and behavioral intention. Our findings serve as a reference for the promotion of mobile health education in hospitals.
Has damage from goodwill impairment grown in China? Analysis and response

ABSTRACT From the perspective of high-quality acquirers (with generated goodwill), this study analyses the conflicting issues in the formation, recognition and subsequent measurement of goodwill and finds that good enterprises are not willing to make a timely provision for goodwill impairment, and the reaction of investors implies a low value relevance of goodwill impairment disclosure. Further, trends in the market-to-book ratio indicate that the market has absorbed goodwill impairment information before its disclosure. This paper finds that listed companies may abuse goodwill and goodwill impairment standards by delaying the recognition and disclosure of goodwill impairment, which could lead to a sharp decline in the companies’ future performance. Overall, this study tends to provide some useful suggestions about how to disclose and refine goodwill impairment information under the current goodwill framework and offer suggestions to improve impairment testing, mergers and acquisitions (M&A) transactions, off-balance sheet information disclosure and corporate governance.