Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of an Educational Program on the Quality of Life of Patients Undergoing Liver Transplantation

Background: Organ transplantation has the prospective to rapidly return end stage liver disease (ESLD)patients’ health and wellbeing. Aim of the current study was to evaluate the effect of an educational program on quality of life for patients undergoing liver transplantation.Methods: A quasi-experimental research design with pre-post and follow up assessment was used to conduct the study atoutpatient liver transplantation units in the Gastrointestinal Surgery Center, Mansoura University, Egypt from the beginning of December 2017 to end of May 2019.Subjects:A purposive sample of 80 patients undergoing liver transplantation was included. Tools:Two tools were used for data collection;1)Structured interviewing questionnaireto collect data about the patients' demographic characteristics, past and medical history, andPatient’s knowledge related to liver transplantation2) The 36-item Short-Form Health Survey (SF-36) was used to evaluate quality of life (QoL). Results: patient knowledge had significantly increased after implementation of educational program; satisfactory knowledge scores increased to 87.5% with a highly statistically significant at P< 0.01. Also, a statistically significant differences noticed in all dimensions of QoL after implementation of educational program with obvious significant improvement in PCS (physical component summary) and MCS (mental component summary) can be noticed at p < 0.05. A positive correlation founded between patients' knowledge and QOL.The study concluded that the educational program was effective in improving level of knowledge, with significant quality of life improvement of patients undergoing liver transplantation.The study recommended that Assuring the importance of heath educational program as a usual care in liver transplantation unitsand during home visits to improve health outcomes and QOL.Disseminate health education booklet and posters for patients undergoing liver transplant related to quality of life will be effective to increase patient knowledge as well as focus on the continuity of home health care. Replication of the study on large study sample
A Literature survey of various cloud load balancing techniques

: Cloud computing is an interesting era of research, where motivation is to find out the best outcome and productive data security and sharing approach. Load balancing in public impair by way of division of cloud just right geographical position. Load balancing is frequently a strategy of controlling the visitors in a cloud atmosphere. Cloud requests hunt for assets for performance. The resources are quite often storage, processing, bandwidth, and many others. Allocation these belongings efficaciously to the entire competing jobs are named as load balancing. This paper will provide a comprehensive survey of cloud load balancing techniques
Phytochemical, Nutritional and Anti-Nutritional Analyses of Ruzu Herbal Bitters

Background: The phytochemical, nutritional and antinutritional analyses of Ruzu herbal bitters (RHB) were investigated. RHB is a polyherbal mixture with therapeutic effects comprising of three plants Curculigopilosa root, Citrullus colocynthis bark and Uvariachamae stem. Materials and methods: Standard methods were used for the analyses. The methods of Trease and Evans (1989) and Harborne (1973) were used for qualitative phytochemical analysis; AOAC (2000) for proximate composition, amongst others. Results: The phytochemical analysis of RHB showed that the product is rich in saponins (0.77 mg/ml), alkaloids (0.76 mg/ml), flavonoids (0.73 mM), and cardiac glycosides (0.32 mM), while phenols (0.09 mg/ml), steroids (0.09 mg/ml) and tannins (0.01 mg/ml) are least amongst the phytochemicals analyzed. Proximate analysis showed that the product has high ash content (57.2 %) and reasonable amounts of moisture (14.16 %), carbohydrate (12.35 %), fibre (11.13 %) and protein (4.87 %) with low percentage composition of fat (0.60 %). The vitamins content, in a decreasing order of abundance, includes vitamins K, D, C, A, B3, B2, E and B1. The mineral content includes Mg, K, Fe, Na, Cr, Cd, Mn and Pb. RHB contains 18 standard amino acids, with asparagine and glutamine missing which could be lost during acid hydrolysis. The antinutritional analysis showed percentage composition of saponins (76.73), cardiac glycosides (36.13), phytates (1.33), oxalates (1.15), alkaloids (0.93), cyanogenic glycosides (0.80) and tannins (0.01). Conclusion: The presence of these secondary metabolites in RHB is an indication that it has medicinal effects as some of them serve as antioxidants and antibiotics, amongst others. The nutrients and antinutrients present in the product will respectively add to the bulk of nutrients in the body and mediate in nutrients availability.
Investment-Specic Technology and International Business Cycles: An Empirical Assessment

We rst introduce investment-speci c technology shocks to an otherwise standard international real business cycles setup, and show that an arbitrary calibration of these technology processes successfully addresses several of the existent puzzles in the literature. In particular, we obtain a negative correlation of relative consumption and the terms of trade (Backus-Smith puzzle), and a volatile real exchange rate. Then we use OECD data for investment relative prices and estimate these processes, showing that they are cointegrated and better represented by a vector error correction (VECM) model. Finally, we demonstrate that such estimated technology process is actually powerless to explain any of the existent puzzles. Very preliminary and incomplete. Please do not cite or circulate. Comments are welcomed.
Intelligent Decision Support System for Parkinson Diseases Using Softcomputing

: Artificial neural networks (ANNs), computer paradigms that can learn, excel in pattern recognition tasks such as disease diagnosis. Classification systems can help in increasing accuracy and reliability of diagnoses and minimizing possible errors, as well as making the diagnoses more time efficient. Such applications include the study of neuro-degenerative disorders such as Alzheimer’s disease, generation of patient specific conductivity maps for EEG source localization, determination of cortical thickness and substructure volumes in schizophrenia, and partial-volume correction for low-resolution image modalities such as positron emission tomography. Parkinson's disease (PD-A neurological disorder) is the second most common neurodegenerative disease only surpassed by Alzheimer's disease (AD). This area is having lack of medical interpretation techniques and resources; used for diagnosis of PD. This situation leads us towards the need to develop a Decision Support System ( D S S ) for PD. T h i s paper proposes method based on ANNs and Statistical techniques to aid the specialists in the most accurate diagnosis of PD. Data recorded during 195 examinations carried out on 31 patients; is used to verify the capacity of the proposed binary classifier system.This paper discusses the techniques used to diagnose in general. From exhaustive and care full experimentation, it is concluded that MLP NN Classifier ensures true estimation of the complex decision boundaries, remarkable discriminating ability and out performs other architectures.
Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds

Learning a robust 3D point signature from point clouds is an interesting but challenging task in the computer vision field due to the irregular and unordered structure characteristics of the point cloud data. In this paper, we propose to learn a 3D point signature by exploring the implicit relation between keypoints and their neighbors (grouped as patches) among the given scene point clouds. We design a uniform reference grid to represent the raw relation between each keypoint and its neighbors from the raw point clouds. In order to learn a 3D point signature gradually from expanding perceptive region, we create a novel siamese framework with a multi-layer perceptron (MLP)-based unit feature network and a 3D convolutional neural network (CNN)-based grid feature network. Specifically, the unit feature network aims to dig the connections among points fallen into the same unit of the reference grid, while the grid feature network is used to discover the grid-wise relations across the whole reference grid with concatenation of the learned unit- wise features. Moreover, we introduce an attention network upon the unit feature network to enhance the discriminative ability of our learned 3D point signature. Our proposed 3D point signature achieves superior performance over other state-of-the-art methods on keypoint matching and geometric registration on the real-world scenes datasets, e.g. SUN3D, 7-scenes and the synthetic scan augmented scenes in ICL-NUIM dataset. More importantly, our learned 3D point signature successfully handles the point cloud fragment alignment challenges by producing correct transformations with RANSAC algorithm.
The degree and determinants of crop commercialization among emerging smallholder farmers in the former homelands of the Eastern Cape Province of South Africa

Emerging smallholders in the former homelands have been a subject of extensive academic research in South Africa over the past two decades. These farmers are largely described as those coming from previously disadvantaged racial groups, mainly black, who at least sell part of their produce and aspire to fully commercialise their production. But how much is ‘at least’? This article seeks to contribute to the literature by determining the degree of commercialisation using the Crop Commercialisation Index. Factors influencing maize commercialisation were also determined using Binary Logistic Regression. A sample of 115 household heads was drawn randomly from three districts of the Eastern Cape Province and interviewed using a local language. Results show that emerging farmers in the study area are more commercial orientated in vegetable production than in maize. Binary Logistic Regression suggests that hiring external labour strongly promotes maize commercialisation.
Preliminary phytochemical investigation on leaves, seeds extract of Diplocyclos palmatus (L.) C Jeffrey medicinal plant

Diplocyclos palmatus (L.) C. Jeffrey commonly known as shivalingi is a lesser heard and perennial climber having diversified medicinal values. It is belongs to Cucurbitaceae family. This plants especially the leaves and seeds have immense folklore usage even today. The leaves of the plant are generally applied as an anti-inflammatory paste. Women take the seeds in combination with other medicinal herbs for helping conception and prevent miscarriage. The seeds of the plant are increased spermatogenesis the present study was undertaken to evaluate the preliminary phytochemical constituents of leaves and seeds extracts. Were screened for their phytochemical constituents following hot continuous and successive extraction by soxhlet apparatus. Qualitative phytochemical screening was under taken to check for the presence of alkaloids, flavanoids, saponins tannins, phenols cardiac glycosides, di and tri terpenoids in various extracts such as petroleum ether, ethyl acetate, chloroform, methanol and water. Among all the five extracts, maximum phytochemicals were found dissolved in methanol followed by water, chloroform, ethyl acetate and then petroleum ether. This provides impetus to conduct advanced research on this leaves and seeds to uncover its vast medicinal potential and further isolated characterized to establish their potential against ailments.
Equity prices and monetary policy in the United States

The wide swings in equity prices on world markets in recent months have riveted investors' attention. With more than $11 trillion of equity wealth in the hands of the US public, such investor interest is understandable. A more difficult question is whether equity prices should receive as much prominence in the deliberations of central bankers as they do in the financial press. To the extent that equity prices are sensitive to real interest rates and contain the market's implicit assessment of corporate profits going forward, they could be read as signaling the current and future state of the economy. They could also directly affect spending by their contribution to wealth and influence on relative returns. However, that equity price could be important in either signaling or directly influencing the ultimate objects of a central bank's intentions economic activity and inflation does not necessarily imply that monetary policy should be sensitive to them.
A Critical Study of Aetiology of Madhumeha (Diabetes Mellitus) in Paediatric Age Group

Diabetes mellitus (Madhumeha) is becoming fastest considerable diseases in the World. It is a metabolic disorder may result in deficiency or dysfunction of the Insulin production. Madhumeha has been described in details in many Samhitas. But the description revolves around an adult human being. Especially Aetiological factors (Nidan) are described keeping adult as the nucleus of the discussion. The need is to focus on Adibalapravrutta Vyadhi and Janmabalapravrutta Vyadhi in case of Paediatric age group. Matruja and Pittruja factors in Adibalapravrutta Vyadhi and Rasakruta and Dauhridapacharkruta Vyadhi belonging to Janmabalapravrutta Vyadhi are very important areas. Apart from some other factors to look for Nidan of Diabetes mellitus in Paediatric age group.
Computergestützte Differenzierung von Ground-Glass-Nodules

Die Fachgesellschaften (International Association for the Study of Lung, Cancer, American Thoracic Society, European Respiratory Society) haben im Jahr 2011 eine aktualisierte Klassifikation dieser GNN entwickelt und unterscheiden darin anhand von Größe und Vorhandensein solider Anteile ▪ atypische adenomatöse Hyperplasie (AAH), ▪ Adenocarcinoma in situ (IS), ▪ minimal invasives Adenokarzinom (MIA) und ▪ invasives Adenokarzinom (IAC).
Influence of prone position on oxigenation, respiratory rate and muscle strength in preterm infants being weaned from mechanical ventilation

OBJECTIVE:To verify the influence of preterm infant positioning on respiratory muscle strength, oxygenation and respiratory rate. METHODS: Cross-sectional study with a paired sample of intubated infants born with gestational age less than 34 weeks, in the final process of weaning from mechanical ventilation. Infants with malformation, genetic syndromes, neuromuscular diseases, tracheotomies and in the postoperative period of abdominal and thoracic surgery were excluded. Maximum inspiratory pressure measures were checked by a digital manometer; respiratory rate was visually observed during one minute and oxygen saturation was measured by a pulse oximeter in prone and supine postures. Kruskal-Wallis and Student's t-test and Pearson correlation coefficient were applied, being significant p<0.05. RESULTS: 45 infants with respiratory distress syndrome were evaluated. The mean gestational age was 30.4 weeks and the mean birth weight was 1522g. The oxygen saturation was higher in prone position (p<0.001). Values of maximum inspiratory pressure were lower in prone when compared to infants in the supine position (p<0.001). Respiratory rate was similar in the two studied positions (p=0.072). CONCLUSIONS: There was a lower inspiratory pressure and a higher oxygen saturation in prone position when compared to the supine one. Concerning the respiratory rate there was no variation between prone and supine position.
Influence of Parenting Style on Drug Abuse among Girls in Secondary Schools in Nakuru County

One factor that may contribute to adolescent substance use is parenting styles and how adolescents respond to different types of parenting. Forms of parenting styles and the application of specific parenting behaviors are important in the upbringing of children and adolescents. If parenting styles are not enforced properly then parents do not develop a healthy form of attachment with their child, which can result to deviant behaviour such as drug abuse. The study was based on a descriptive survey design. The target population for this study was 5,188 girls from form three in Nakuru County, 74 deputy Principals, 74 guidance and counseling teachers, 74 Parents association (P.A) representatives in girls’ secondary schools. Purposive sampling was used to select only students in form three. A sample size of 371 student’s respondents was selected using the Slovin’s formula. Proportionate sampling was used to select 44 secondary schools, hence 44 deputy principals, 44 guidance and counseling teachers and 44 P.A representatives. Questionnaires was used to collect data from students, P.A representatives and guidance and counseling teachers, focus discussion group was also used to collect data from students while interview schedule was used to collect data from deputy principals. Quantitative data was analyzed using descriptive statistics while qualitative data was analyzed thematically in line with the study variables and objectives. From the findings the researcher concluded that parents contribute a lot in spoiling their daughters by; giving them too much pocket money, not guiding them on what channels to watch on television, on what to read in magazines, books etc. Poor relationship between parents and their daughters was also noted as a contributing factor to drug abuse, this automatically leads to lack of general parental guidance. Poor relationship between girls and their parents was also identified as a key factor that contributes to drug abuse among girls. From the findings the researcher recommended that parents should ensure that they have strict control over their children by monitoring their behavior while at home. This would include talking to their children on the dangers of drug abuse on the health, behavior and general academic performance
Safety and Outcome of Outpatient 2-Level Hybrid Anterior Cervical Discectomy and Fusion plus Adjacent Total Disc Replacement

Objective: The emergence of modern technologies and surgical techniques has challenged anterior cervical discectomy and fusion (ACDF) as the gold-standard treatment for cervical spondylosis. In an effort to reduce fusion levels and preserve mobility, combining ACDF and total disc replacement (TDR) has been explored in the literature. No reports were found which investigated the feasibility of this hybrid procedure in an ambulatory surgery centre (ASC). The authors aim to determine the feasibility of performing combined ACDF with TDR in an ASC. Methods: We evaluated medical records of 15 consecutive patients, who presented with multilevel cervical degenerative disc disease. Single-stage instrumented ACDF with concurrent cervical TDR was performed in an ASC. Outcome measures examined were visual analogue scale (VAS) scores for neck pain, neck disability index (NDI), nurick grade, quality of life assessment (QoL) through the physical and mental composite scores (PCS and MCS) of the Short-Form 12 (SF-12) health survey and complications. Outpatient spine surgery protocols and guidelines are provided. Results: Males accounted for 70% of the patient population with overall mean age of 45.13 ± 1.9 years with mean body mass index (BMI) of 28.2 ± 8.5 kg/m2. Minimum follow-up was 12 months. Estimated blood loss was 71 ± 23 milliliters and mean operating time was 45 minutes. Clinically significant improvement was achieved in 80% of patients with mean VAS score for neck pain of 8.4 ± 0.8 reducing to 4.5 ± 1.2, which was statistically significant (p = 0.043). Similarly, pre-operative mean NDI of 55 ± 7% reduced to 33 ± 9% postoperatively (p = 0.03). Nurick grades were 0 in each patient by final follow-up and there were no complications reported. Overall improvement in QoL was also accomplished. Conclusion: Combined ACDF and TDR can be safely done in an ASC with satisfactory clinical and patient-reported outcomes.
Growth-Mindset Interventions at Scale: Experimental Evidence From Argentina

This is one of the first evaluations of a “growth-mindset” intervention at scale in a developing country. I randomly assigned 202 public secondary schools in Salta, Argentina, to a treatment group in which Grade 12 students were asked to read about the malleability of intelligence, write a letter to a classmate, and post their letters in their classroom, or to a control group. The intervention was implemented as intended. Yet, I find no evidence that it affected students’ propensity to find tasks less intimidating, school climate, school performance, achievement, or post-secondary plans. I rule out small effects and find little evidence of heterogeneity. This study suggests that the intervention may be more challenging to replicate and scale than anticipated.
Refining the Construct of 'Anger' in Relation to Personality

This paper highlights the importance of anger problems in psychopathology generally, and in personality disorders in particular. It argues, firstly, that problematic anger transcends traditional diagnostic boundaries and can best be viewed through the prism of the recently proposed hierarchical taxonomy of psychopathology; secondly, that anger is a heterogeneous construct that can be experienced as hedonically positive (experienced as pleasant: ‘appetitive anger’) as well as negative (experienced as unpleasant: ‘aversive anger’). Four distinct types of anger are proposed in the context of the author's quadripartite violence typology: thrill seeking and coercive (both subtypes of appetitive anger) and explosive/reactive and vengeful/ruminative (both subtypes of aversive anger). Evidence is reviewed that supports this anger typology in studies of delinquent youth. Finally, the triggers of anger are considered in relation to the 4 types of anger. It is suggested that personality disorders differ not only with regard to the type of anger with which they are associated, but also with regard to the triggers that elicit anger.
Comparison of Different Segmentation Algorithms on Ultrasound Stoned Kidney Image

: Image segmentation plays a vital role in ultrasound digital image applications, for the study of anatomical structures of medical-image. Image segmentation is a tool for dividing an image into multiple parts, to identify objects or other relevant information in digital images. This paper shows some implementation and comparison of different segmentation algorithms like Edge based segmentation, Watershed segmentation, Region based segmentation, Thresholding and Clustering method which separates stones sections from ultrasound kidney image. This paper is to present which method is performing best for segmentation task. The performance of those segmentation methods are measured by calculating the MSE, PSNR and elapsed time of segmented kidney stoned image.
Physician Recommendation System Using Preference Learning Algorithm: A Review Paper

: Web-based appointment system are emerging in health care industry providing with convenient and diversified services, among physician recommendation becoming more and more popular to make assignment. Currently patients with heterogeneous illness conditions and then patients could select one physician for appointment according to their preferences capturing patient preferences is essential for physician recommendation delivery; however it is also challenging due to lack of data on patient preferences. In this review paper we studied physician recommendation problem by preference learning algorithm that will optimized the recommendation and learn.