Miracle-dz/UniFAR-FTUs huggingface dataset:
The Satisfactionof Patients on Maintenance Hemodialysis Concerning the Provided Nursing Care in Hemodialysis Units

Background: Hemodialysis is a lifesaving treatment that can offer significant advantages for certain patients. Patients may remain for several years suffering from End-Stage Renal Disease (ESRD), on maintenance hemodialysis dialysis (MHD) in dialysis settings in contact with dialysis personnel. The increasing number of patients with end-stage renal disease (ESRD) worldwide specifically in the low and moderate-income countries abruptly increases the likely number of premature deaths, besides its effect on the burden of the disease (Newell S, Jordan Z., Teshome Habte Wurjine1) as estimated by the Global Burden of Disease (GBD) in the year 2015 that 1.2 million deaths, 19 million disability-adjusted life-years (DALYs) and18 million years of life lost from cardiovascular diseases were directly attributable to reduced glomerular filtration rates. Aim: To assess the patients’ satisfaction with care at a selected dialysis unit in Khartoum, Sudan. Methods: The study was conducted in the capital state of Sudan, Khartoum at selected four governmental tertiary hospitals and centers provide Hemodialysis. Study design: facility-based cross-sectional descriptive study design was employed on ESRD patients undergoing maintenance hemodialysis care. The data was collected using an equation method applied for a quantitative approach to determine sample size in the period from March 2016 to August 2017. A total of 237 patients treated in the hemodialysis units participated. The sampling method used was non-probability convenience sampling. The primary outcome was patients’ satisfaction with the overall hemodialysis care and secondary outcomes of the individual aspects of hemodialysis patient experiences. Data collection and analysis procedure: Data was achieved through (1) Structured Patient Satisfaction Scale pre-tested questionnaire based on the 5Likert's scale for in-depth direct interview of the patients. To assess the dimensions of satisfaction related to accessibility and convenience, direct nursing care and safe environment, communication, and health education. Data were analyzed according to the objectives using the SPSS program, a descriptive statistics analysis was undertaken. Result: A total of 233 participants were responded with a response rate of 100% from whom 59(24.9%) age group was (56-65) years and 158 (67%) were male. The overall satisfaction level was found to be (65.2%), Table (1). The majority of the respondents (86.9%) were rated high nurses willingness and flexibility in meeting their needs and nurses helping to understand and solve their problems rated low (52.7%). The analysis shows that residence, gender and occupation were red overall satisfaction scores (p<0.05) and income (p 0.05). Conclusion and Recommendation: (65.2%) of the participants were satisfied with the care provided in hemodialysis units. This reveals that the level of patients’ satisfaction needs to be improved, and recommended healthcare settings should monitor the relationship between nursing care and experience to maintain quality care provision.
Sperm Reserves and Morphometric Analysis of Reproductive Organs in Anak 2000 Broiler Breeder Cocks

The present study was conducted to determine the morphometry of the testes, the epididymides, and the sperm or spermatid reserves of the adult Anak 2000 broiler breeder cocks. Ten adult cocks were sacrificed following ten weeks of semen profile analysis. Their left and right testes as well as left and right epididymides were carefully excised and used for the study. The testicular and epididymal lengths and weights were taken. Testicular and epididymal sperm/spermatid reserves were also determined. The mean length and weight of the left and right testes were 5.60 ± 0.28 cm, and 5.42 ± 0.30 cm, and 21.93 ± 2.14 g and 21.27 ± 1.97 g, respectively. The mean length and weight of the left and right epididymides were 4.58 ± 0.29 cm and 4.40 ± 0.23 cm, and 1.03 ± 0.15 g and 1.19 ± 0.18 g, respectively. The mean left and right testicular, and left and right epididymal reserves were 82.18 ± 8.49 x 10 9 /g testis and 76.47 ± 8.92 x 10 9 /g testis, and 1.63 ± 0.28 x10 9 /g epididymis and 1.99 ± 0.31 x10 9 /g epididymis, respectively. No significant difference (P > 0.05) was observed between the left and right organs though the left testis appeared higher in weight and length than the right. Similarly, no significant difference (P > 0.05) existed between the mean left and right testicular reserves. Correlation analysis showed strong positive relationship between testicular weight and testicular sperm/spermatid reserves (r = 0.93, P < 0.05), testicular length and testicular sperm/spermatid reserves (r = 0.60, P < 0.05), and epididymal length and epididymal sperm/spermatid reserves (r = 0.55, P > 0.05). This study suggests that testicular size relates to sperm production.
Using Neural Network to predict the Hypertension

—Development of tools to facilitate diagnosis of some disease such as cancer, cardiovascular, hypertension, diabetes, is of great relevance in the medical field.In this paper, we will present a method based on neural network to detect the hypertension based on some risk factors including obesity, stress, systolic and diastolic blood pressure, physical activities, tobacco consumption and diet lifestyle. Data represents a group of students from the Lebanese universities. A descriptive statistical analysis is performed then a neural network predicting systolic and diastolic blood pressure is designed and implemented. Descriptive statistics show some difference between male and female groups. Tobacco consumption is mostly present in the male group more than female. In the other hand, the neural network consists often inputs and two outputs. The outcomes of the network are diastolic and systolic blood pressure. Accurate results have been obtained which proves the effectiveness of the proposed neural networks can be effective tools for preliminary detection of hypertension.
When Managers Change Their Tone, Analysts and Investors Change Their Tune

The negativity of managerial word choice (managerial tone) in conference calls is a telltale indicator of a company’s future. Specifically, increases in negativity–what we term “bleak tone changes”–strongly predict lower future earnings and increased uncertainty. Decreases in negativity, however, only weakly predict the opposite. To isolate the explanatory power of managerial tone, we controlled for negativity changes in the earnings press release and analysts’ questions. Analysts and investors underreact when they extract value-relevant information from negativity changes. Consequently, a negativity-based trading strategy generates abnormal returns. Disclosure: Marina Druz, Alexander Wagner, and Richard Zeckhauser declare that they have no relevant or material financial interests that relate to the research described in this article. Ivan Petzev works for an asset management firm that invests in equities globally. Authors’ Note: The views expressed in this article are those of the authors and do not necessarily reflect the views of Swiss Rock Asset Management. A previous version of this article was titled “Reading Managerial Tone: How Analysts and the Market Respond to Conference Calls”. Editor’s Note Submitted 23 May 2019 Accepted 11 December 2019 by Stephen J. Brown
Experimental Studies on Two Stroke SI Engine by Using Novel Piston and Gasoline Blends

Received: 13 November 2018 Accepted: 22 January 2019 It is well known fact that thermal efficiency of the two stroke engines on road usually ranges from nearly 35 % to 45 % and remaining energy is dissipated to the surrounding media. Therefore, it becomes the primary need to improve the engine performance. From the past decade and so and exhaustive research is carried by various researchers towards attaining higher level of the engine performance by doing certain modifications of the engine component family. Majority of researches focused on adding of coatings on pistons and by using the blends the performance characteristics are studied. The main aim of the present work is to develop a novel piston that reduces the percentage level of pollutants release to atmosphere and aid in improving the performance of the system. The work mainly focused on influence of novel piston and different blends in enhancing the engine performance and suppressing the level of emissions, thereby reducing the global working effects. The experiments are performed on single cylinder two stroke SI engine by using conventional piston, novel piston-1 (Bi metallic piston with copper piston crown), novel piston-2 (Bi metallic piston with Br piston) and different blends. It is noticed that the emission levels of pollutants got reduced by using novel piston-1and E20 blend and performance wise also novel piston-1 and M20 blend gave the best results in overcoming the burning issues in two stroke SI engines.
A new metric for class cohesion for object oriented software

Various class cohesion metrics exist in literature both at design level and source code level to assess the quality of Object Oriented (OO) software. However, the idea of cohesive interactions (or relationships) between instance variables (i.e., attributes) and methods of a class for measuring cohesion varies from one metric to another. Some authors have used instance variable usage by methods of the class to measure class cohesion while some focus on similarity of methods based on sharing of instance variables. However, researchers believe that such metrics still do not properly capture cohesiveness of classes. Therefore, measures based on different perspective on the idea of cohesive interactions should be developed. Consequently, in this paper, we propose a source code level class cohesion metric based on instance variable usage by methods. We first formalize three types of cohesive interactions and then categorize these cohesive interactions by providing them ranking and weights in order to compute our proposed measure. To determine the usefulness of the proposed measure, theoretical validation using a property based axiomatic framework has been done. For empirical validation, we have used Pearson correlation analysis and logistic regression in an experimental study conducted on 28 Java classes to determine the relationship between the proposed measure and maintenance-effort of classes. The results indicate that the proposed cohesion measure is strongly correlated with maintenance-effort and can serve as a good predictor of the same.
Improved forage crops production strategies in Ethiopia: A review

There are various strategies to integrate forage crops into crop-livestock farming system in Ethiopia. The method of integration used for a specific farming system mainly depends on the type of forage crops, food crops, soil type, rainfall pattern and other social and economic factors. Cropping systems are expanding and intensifying to feed growing human populations and overcome decreasing productivity due to soil degradation and poor husbandry. By adopting strategies, which integrate livestock and cropping systems, there is considerable potential to not only increase crop yields but also increase the quantity and quality of forage for ruminant livestock. The use of forage legumes frequently increases soil nitrogen available for food crops because of their ability to fix nitrogen. Moreover, multipurpose browse trees and shrubs increases fuel wood resources available to farming households, decreasing the need to use dung as fuel and increasing the availability of dung for use as fertilizer. Generally, improved forage legumes and browse species provide a sustainable source of protein which enhances the ruminant livestock productivity. The positive impacts of increased sustainable cropping include more crop by-products, more forage and browse legumes where forage production strategies are integrated with sustainable cropping, and a better mix of nutrients from these sources of forage. In general, different research studies demonstrate that integration of forage and food crops with different strategies increases the productivity and sustainability of farming systems and improves the quantity and quality of livestock feed available from such systems. Therefore, benefits from integrated forage and crop production systems are substantial, prolonged and complementary.
Strategic information transmission: a survey of experiments and theoretical foundations

This paper surveys the experimental literature on communication of private information via cheap-talk messages. Some players have private information that is relevant to the decisions made by others. The informed players have the option to send messages before decisions are made. Messages do not directly affect payoffs but can link decisions to information. This simple paradigm has been found useful in philosophy, linguistics, economics, political science and theoretical biology. The survey tracks the dialogue between the theory and experiments that have been inspired by this paradigm and is organized around the themes of available language, payoff structure and compositions of the sets of communicating players. ∗We thank Vince Crawford and Joel Sobel for comments and encouragement. †Department of Economics, The University of Arizona, ablume@email.arizona. edu ‡Department of Economics, Lehigh University, kwl409@lehigh.edu §Department of Economics, The Hong Kong University of Science and Technology, wooyoung@ust.hk
A Multi-Space Approach to Zero-Shot Object Detection

Object detection has been at the forefront for higher level vision tasks such as scene understanding and contextual reasoning. Therefore, solving object detection for a large number of visual categories is paramount. Zero-Shot Object Detection (ZSD) – where training data is not available for some of the target classes – provides semantic scalability to object detection and reduces dependence on large amount of annotations, thus enabling a large number of applications in real-life scenarios. In this paper, we propose a novel multi-space approach to solve ZSD where we combine predictions obtained in two different search spaces. We learn the projection of visual features of proposals to the semantic embedding space and class labels in the semantic embedding space to visual space. We predict similarity scores in the individual spaces and combine them. We present promising results on two datasets, PASCAL VOC and MS COCO. We further discuss the problem of hubness and show that our approach alleviates hubness with a performance superior to previously proposed methods.
A STRUCTURAL MODEL OF SERVICE QUALITY, PERCEIVED VALUE, SATISFACTION, AND CUSTOMER LOYALTY IN THE HOTEL INDUSTRY: A CASE STUDY OF TARAKAN CITY, INDONESIA

This study aims to examine the direct effect of service quality on perceived value, the direct influence and indirect influence of service quality on satisfaction, the direct influence and indirect influence of service quality on customer loyalty, the direct effect of perceived value on satisfaction, the direct influence and indirect perceived effects value towards customer loyalty, and direct satisfaction effect on customer loyalty in Structural Equation Modelling (SEM). The study sample consisted of customers who stayed at several hotels in Tarakan in May and June 2018. To achieve the objectives of this study, SmartPLS 3.0 Professional was used to test convergent validity and discriminant validity as well as tools to develop structural models and test hypotheses. The results of this study indicate that all the hypotheses proposed in this study were proven and accepted. In addition, the results of testing indirect effects between variables were also discussed in this study. Theoretically, the results of this study contribute to the development of a loyalty model, whereas pragmatically, it could be useful as material for the preparation of marketing strategies to increase hotel customer loyalty. Keywords—service quality, perceived value, satisfaction, loyalty, hotel
The Impact of Factors on the Audit Quality in Indonesia: The Moderating Effect of Professional Commitments

t This research is conducted and deemed to determine the effect of professional accounting ethics, auditor competence and professional integrity and commitment to audit quality. In addition, this study aims to determine the effect of auditor competence and integrity auditor on audit quality that is moderated by professional commitment. The population in this study is Badan Pengawasan Keuangan dan Pembangunan (BPKP) of DKI Jakarta Province. Sampling is done by purposive sampling method with the criteria of government internal auditors who have taken study and training the JFA (Functional Auditor Functional) and has a minimum of 2 years work experience. The number of samples used in this study amounted to 62 samples of auditors working in Badan Pengawasan Keuangan dan Pembangunan (BPKP) of DKI Jakarta Province. The analysis technique used is Structural Equation Modeling (SEM) using the application Smart Partial Least Square version 3.0. The results of this study indicate that professional accounting ethics and integrity have a significant effect on audit quality. Auditor competency and professional commitment are not significant to audit quality. Professional commitment moderates the influence of the relationship between integrity and audit quality and influences the negative effect. Professional commitment does not moderate the effect of the relationship between auditor competence and audit quality. The contribution given to the BPKP of DKI Jakarta Province is that there is a need for an authoritative, orderly and wellregulated supervisory apparatus in carrying out the duties and functions of the government's internal auditors in accordance with the APIP code of ethics and APIP audit standards
Second Place: Alendronate reverses increases in MMP13 due to IL-1&bgr; stimulation in human chondrocytes in vitro

Background:Statins (HMG-CoA Reductase inhibitors) reduce the incidence and progression of osteoarthritis of the knee. Nitrogen-containing bisphosphonates (N-BPs) and statins have similar mechanisms of action, but the effects of N-BPs on articular cartilage in osteoarthritis are not understood. We sought to determine if the bisphosphonate alendronate (ALN) has anti-inflammatory effects on articular chondrocytes in vitro. Methods:An in vitro model was developed for sustaining harvested rat chondrocytes in an alginate gel matrix. Using this model with human chondrocytes, osteoarthritis was simulated using interleukin-1&bgr; (IL-1&bgr;) stimulation. Cells were treated with ALN (10-100 &mgr;M) and IL-1&bgr; (0.01 and 0.1 ng/mL) for 24 and 48 h. RNA was isolated to quantify the effects of IL-1&bgr; and ALN on chondrocyte gene expression for cartilage matrix synthesis (aggrecan, collagen type I and II) and degradation (MMP13, ADAMTS4, ADAMTS5). Results:Collagen type I, collagen type II, and aggrecan expression decreased with IL-1&bgr; stimulation in human chondrocytes, which was not reversed by ALN treatments. MMP13, ADAMTS4, and ADAMTS5 expression increased with IL-1&bgr; stimulation, and the increases in MMP13 and ADAMTS5 were reduced by ALN treatments after 24 h. Conclusions:ALN reversed increases in chondrocyte MMP13 and ADAMTS5 expression due to IL-1&bgr; stimulation in vitro, and ALN may play a role in preventing cartilage matrix degradation in osteoarthritis.
Temporal Similarity Analysis of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection

To tackle the 3D mask face presentation attack, remote Photoplethysmography (rPPG), a biomedical technique that can detect heartbeat signal remotely, is employed as an intrinsic liveness cue. Although existing rPPG-based methods exhibit encouraging results, they require long observation time (10-12 seconds) to identify the heartbeat information, which limits their employment in real applications such as smartphone unlock and e-payment. To shorten the observation time (within 1-second) while keeping the performance, we propose a fast rPPG-based 3D mask presentation attack detection (PAD) method by analyzing the similarity of local facial rPPG signals in the time domain. In particular, a set of temporal similarity features of facial and background local rPPG signals are designed and fused to adapt the real world variations based on rPPG shape and phase properties. For better evaluation under practical variations, we build the HKBU-MARsV2+ dataset that includes 16 masks from 2 types and 6 lighting conditions. Finally, extensive experiments are conducted on 11092 shortterm video slots from 4 datasets with a large number of real- world variations, in terms of mask type, lighting condition, camera, resolution of face region, and compression setting. Results show that the proposed TSrPPG outperforms the state-of-the-art competitors dramatically on discriminabil- ity and generalizability. To our best knowledge, this is the first work that addresses the length of observation time issue of rPPG-based 3D mask PAD.
www.econstor.eu Infrastructure and Growth: Empirical Evidence

Investment in network infrastructure can boost long-term economic growth in OECD countries. Moreover, infrastructure investment can have a positive effect on growth that goes beyond the effect of the capital stock because of economies of scale, the existence of network externalities competition enhancing effects. This paper analyses the empirical relationship between infrastructure and economic growth. Time-series results reveal a positive impact of infrastructure investment on growth. They also show that this effect varies across countries and sectors and over time. In some cases, these results reveal evidence of possible overinvestment. Bayesian model averaging of cross-section growth regressions confirms that infrastructure investment in telecommunications and the electricity sectors has a robust positive effect on long-term growth (but not in railways and road networks). Furthermore, this effect is highly nonlinear as the impact is stronger if the physical stock is lower. JEL Code: E22, O11, O40.