Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Factors Affecting the Marital Intimacy of Veteran Couples: A Qualitative Study

Introduction: Intimacy is especially important in married life. The objective of this study was to investigate the factors affecting the marital intimacy of veteran couples. Methods: This qualitative study was conducted using a phenomenological approach. The study population consisted of veteran couples in Shiraz. Sampling was done purposively and continued until the saturation point was reached. The data were collected from 10 semi-structured interviews with veteran couples on intimacy and Colaizzi's method was used to analyze the data. Results: Factors affecting the marital intimacy of veteran couples were extracted in the form of 4 categories and 17 sub-categories. The identified categories included individual factors (personality traits, attachment styles, differentiation, physical and mental health), interpersonal factors (communication patterns, communication skills, matching and similarity, conflict resolution styles, emotional and sexual needs), religious and cultural factors (religious beliefs and attitudes, interaction with in-laws), and demographic factors (education, occupation, economic status, presence of children, duration of the marriage, gender). Conclusion: Marital intimacy of veteran couples is influenced by individual, interpersonal, religious and cultural, and demographic factors. Therefore, it is necessary to pay attention to different factors affecting marital intimacy in the counseling of veteran couples. The present study can be a good guide for therapists to provide appropriate interventions to increase intimacy.
Unilateral Inaction: Congressional Gridlock, Interbranch Conflict, and Public Evaluations of Executive Power

Presidents routinely overpromise and underdeliver, especially amid partisan polarization, narrow congressional majorities, and persistent gridlock. as Congress routinely stymies their legislative agendas, presidents consider alternative courses of action. We study public reactions to unilateral power in the context of congressional inaction. While some research suggests that presidents cannot afford to pass up opportunities to act, more recent scholarship indicates that the public holds negative views of unilateral power and disapproves of its use. survey experiments conducted with a national sample of americans provide evidence of the costs of unilateral power. across three policy areas and between-and within- respondent analyses, the public responds negatively when presidents exercise unilateral power rather than accept the status quo, even among individuals who share the president’s policy views. Our results suggest that while legislative gridlock may increase the appeal of unilateral power, its use may come at a public cost.
The Effect of Earnings Management on Firm Value before and When IFRS Implementation, Modereted Life Cycle Company

The Purpose of this study was to test empirically the effect of earnings management on firm value before and when IFRS implementation was moderated by the life cycle of firm. The study population was 127 manufacturing companies that go public and listed on the BEI 2010-2016. The sample of this study was the number of firms as much as 192 firms completed financial report year 2010-2016, financial report year 2010-2011 (96 observation) was to explain before applying of IFRS while financial report (96 observation) year 2012-2016 explained when application of IFRS, Research results, before the implementation of IFRS earnings management did not affect on firm value, then when the implementation of IFRS earnings management affected positively and significantly firm value. While the moderate variables of percentage of sales growth and age of firm strengthen the influence of earnings management on firm value before implementation of IFRS, but variable of capital expenditure weaken. On the other hand, the percentage variable of sales growth, capital expenditure value and age of firm strengthens the influence of earnings management on company value during company implementation. Limitations, this study was not associated with the quality of financial reports, so the value of firm was high but low quality or otherwise. Key words: earnings management; firm value; IFRS; sales growth; capital expenditure value
Improving the sample-efficiency of neural architecture search with reinforcement learning

ii 1 Background 2 1.1 Neural networks . 2 1.1.1 Feedforward neural networks . 2 1.1.2 Convolutional neural networks . 5 1.1.3 Recurrent neural networks . 6 1.1.3.1 Long Short-Term Memory networks . 7 1.2 Reinforcement Learning . 8 1.2.1 Markov Decision Processes . 8 1.2.2 Preliminaries and notations . 9 1.2.2.1 Policy . 9 1.2.2.2 Trajectory . 10 1.2.2.3 Return . 10 1.2.2.4 On-Policy Value Function . 10 1.2.2.5 On-Policy Action-Value Function . 11 1.2.2.6 Advantage . 11 1.2.3 Bellman Equations . 11 1.2.4 Goal of RL . 11 1.2.5 Policy Gradient Methods . 12 1.2.5.1 Policy Gradient Theorem . 12 1.2.5.2 REINFORCE: Monte Carlo Policy Gradient . 13 1.2.5.3 Proximal Policy Optimization . 15 1.3 Neural Architecture Search . 16 1.3.1 NAS with Reinforcement Learning . 16 1.3.1.1 Generation of architectures . 17 1.3.1.2 Training the controller with REINFORCE . 18 1.3.1.3 Search space for image recognition . 18 1.3. 2 Efficient Neural Architecture Search via Parameter Sharing . 19 1.3. 2.1 Generation of architectures . 19 1.3. 2.2 Search Space . 19 1.3. 2.3 Training . 20 2 Methods 22 2.1 Proposed work . 22 2.2 Our implementation of ENAS . 22 2.2.1 Child models . 22 2.2.2 Controller . 23 2.2.3 Training . 24 2.3 Motivation behind PPO . 25 2.4 Modifying the controller to PPO . 25 3 Experiments 27 3.1 Training details . 27 3.1.1 Dataset . 27 3.1.2 Hyperparameters . 27 3.1.3 Training environment . 28 3.1. 4 Evaluation . 29 3.1. 4.1 Comparison of the generated child architectures . 30 3.1. 4.2 Results . 30 4 Summary 31 4.1 Future Work . 31
Short-term efficacy of surgery combined with intrapleural perfusion with hyperthermic chemotherapy in NSCLC patients with MPE

Backgrounds: To investigate the short-term efficacy and safety of surgery combined with intrapleural perfusion with hyperthermic chemotherapy (IPHC) in non-small-cell lung cancer (NSCLC) patients with malignant pleural effusion (MPE). Methods: A total of 54 NSCLC patients with MPE were enrolled(26 in treatment group vs 28 in the control group). The patients in the treatment group underwent surgery combined with 3 IPHC for 60 minutes each time. The control group was treated with traditional intrathoracic perfusion. Results: The control rate of pleural effusion at 4 weeks, 2 months and 3 months in the treatment group was 92.31%, 84.21% and 83.33%; the rate in the control group was 42.86%, 50.00% and 38.89% (P<0.05). The improvement rate of karnofsky performance status (KPS) score in the treatment group(80.77%) was higher than that in the control group(46.43%) (P < 0.05). Conclusions: The short-term effect of surgery combined with IPHC is effective and safe in the treatment of NSCLC patients with MPE.
Convergence rates for shallow neural networks learned by gradient descent

In this paper we analyze the $L_2$ error of neural network regression estimates with one hidden layer. Under the assumption that the Fourier transform of the regression function decays suitably fast, we show that an estimate, where all initial weights are chosen according to proper uniform distributions and where the weights are learned by gradient descent, achieves a rate of convergence of $1/\sqrt{n}$ (up to a logarithmic factor). Our statistical analysis implies that the key aspect behind this result is the proper choice of the initial inner weights and the adjustment of the outer weights via gradient descent. This indicates that we can also simply use linear least squares to choose the outer weights. We prove a corresponding theoretical result and compare our new linear least squares neural network estimate with standard neural network estimates via simulated data. Our simulations show that our theoretical considerations lead to an estimate with an improved performance in many cases.
Relationship between E-CRM, Customer Experience, Customer Satisfaction and Customer Loyalty in Banking Industry: A Review of Literature

The banking sector has been witnessing a significant expansion in today’s market place due to the advancement in Information and Communication Technologies (ICTs). Because of globalization, steep competition, growing customer demand and expectations, the banks are finding it difficult to survive and retain their customers (Al-Dmour et al., 2019). The banks are looking for various new ways through which they not only want to attract the new customers but also want to retain them and turn them into loyal customers (Mang’unyi et al., 2017). Internet offers new opportunities to banks to enhance customer services and gain competitive advantage by providing customers’ requirements and needs through web-based services (Joju et al., 2016). For this, the banks require advanced technologies to meet their customer needs and wants (Shanab and Anagreh, 2015). Thus, in this significant growth of electronic business and proliferation of internet, new concept has been emerged i.e. Electronic customer relationship management (ECRM). E-CRM is defined as an information system through which organizations can make long-lasting mutual relationship with their customers over the internet with the help of multiple electronic touch points such as emails, web browsers, etc. (Chuang et al., 2012). The main purpose of E-CRM is not only to bring changes in the marketing domain but to also improve company’s efficiency in building and managing customer relationships, improving customers’ services and retaining them to increase their profitability (Adlin et al., 2019). Banks have realized that maintaining relationships with the customers is very important not only to achieve competitive advantage but for survival in long run (Oumar et al., 2017). Thus, the banks have changed their focus from bank-centric approach to customer-centric approach to improve their relationships with the existing as well as the prospective customers (Tanveer, 2009). Article Publication
Factors Contributing to the Adoption of Fintech in Indonesia

The technology acceptance model (TAM) proposes that perceived ease of use and usefulness predict technology usage. This model, however, may not fully explain user behavior in „fintech‟ (financial technology), one of the fastest-growing global businesses, especially the payment-type fintech services in Indonesia. This paper explores the supplementary factors of consumers‟ adoption of fintech such as trust, credibility, perceived benefit, and perceived risk. By using convenience sampling, we collected 166 cases from the users of OVO, Indonesia‟s fastest-growing fintech platform, to survey their adoption of fintech. The results of statistical analysis using PLS-SEM demonstrated that trust and perceived ease of use had significant impact on attitude towards the use technology, which also determined behavioral intention and drove actual use. This study provides guidance for decision-makers to increase market penetration of fintech in Indonesia.
Original Article: Religious and Quranic Education from the Islam and the West Viewpoint

Religious and Qur'anic teaching seeks to alter the individuals’ beliefs for a particular type of action and behavior based on the rules of religion, Islam and the Qur'an from the darkness of animalism to the light of humanity. The difference between education in Islam and the West is due to the difference of goals. The view of Islam is fundamentally different from that of the West towards human beings, so much so that in these two types of views, the happiness definition for human beings is various. Consequently, educational goals will be different. Islam and the West each regulates their view of the family based on their worldview, and values in the family system are regulated based on this comprehensuive viewpoint. The bottom line is that parenting is a two-way street, just as parents are being educated in the process both as an educational model and as a religious task. The research method was analyticaldescriptive in which the information was collected in the form of library–based studyand document references related to the research topic. The results of descriptive analysis of research data indicate that education has been one of the topics of interest to different religions and schools during the centuries and eras and religious and Quranic education has indicators, features, principles, methods and special methods to practice teachings. The religion of Islam and the Qur'an remove its obstacles and deterrents.
Optimization of Resource Allocation Parameters in Cloud Environment Using Design of Experiments

Cloud computing creates an illusion for cloud users by providing plenty of resources on the basis of pay-per-use concept under Infrastructure as a Service. These resources are allocated virtually based on user request. With the increasing challenges under this heterogeneous environment, it is very difficult to optimally allocate the resources to a job with better QoS and with less time. Significant systematic experiments are being conducted to allocate the virtual resources powerfully and optimally in cloud network. Lot of algorithms are implemented to increase the efficiency of resource allocation in consideration with QoS parameter. In this work we address the problem of optimal resource allocation using MBFO algorithm, and the better influencing parameter is identified using DoE tool. At first Scheduling with resource allocation strategy was improved by applying Modified Bacterial Foraging Optimization(MBFO) algorithm, and the simulation was conducted using CloudSim tool. Compared to various evolutionary algorithms MBFO gives better allocation result, in minimum time without negotiating QoS parameter. The execution parameters we considered are CPU, RAM and bandwidth and the output parameter we analyzed is time, cost and throughput. In this heterogeneous environment input parameter (resources) plays a major role while creating real time cloud network such as amazon, google, etc. But we dont know which input
13C(α,n)16O cross-section measurements at LUNA

Direct measurements of reaction cross-sections at astrophysical energies often require the use of solid targets able to withstand high ion beam currents for extended periods of time. Thus, monitoring target thickness, isotopic composition, and target stoichiometry during data taking is critical to account for possible target modifications and to reduce uncertainties in the final cross-section results. A common technique used for these purposes is the Nuclear Resonant Reaction Analysis (NRRA), which however requires a e-mail: giovanni.ciani@lngs.infn. it (corresponding author) b e-mail: laszlo.csedreki@lngs.infn. it (corresponding author) that a narrow resonance be available inside the dynamic range of the accelerator used. In cases when this is not possible, as for example the 13C(α, n)16O reaction recently studied at low energies at the Laboratory for Underground Nuclear Astrophysics (LUNA) in Italy, alternative approaches must be found. Here, we present a new application of the shape analysis of primary γ rays emitted by the 13C(p, γ )14N radiative capture reaction. This approach was used to monitor 13C target degradation in situ during the 13C(α, n)16O data taking campaign. The results obtained are in agreement with evaluations subsequently performed at Atomki (Hungary) using
Unique Intron Site

A recombinant phage containing an actin gene (XHa201) was isolated from a human DNA library and the structure of the actin gene was determined. The amino acid sequences deduced from the nucleotide sequences of XHa201 were compared with those of six actin isoforms; they matched those of bovine aortic smooth muscle actin, except for codon 309, which was valine (GTC) in XHa201 and alanine (GCN) in bovine aortic smooth muscle actin. Southern blot hybridization experiments showed that the gene of normal human cells did not have the TaqI-sensitive site around position 309, whereas half of the genes of HUT14 cells did. These results indicate that one allele of the aortic smooth muscle actin gene in HUT14 cells has a transition
DESIGNING A CONSTRUCTIVE GUIDANCE SYSTEM WITH REAL TIME OBJECT DETECTION FOR VISUALLY IMPAIRED

This paper proposes an effective device for visually impaired person in order to have betterment in their routine life. The spread of visually impairment is very sensitive issue worldwide. Here we develop a Smart system for visually impaired, that make use of ultrasonic sensor and camera.The most point of this work is to plan a voice-based cautioning framework for the outwardly impeded individuals. Visually impaired individual’s finds navigation difficult as they struggle every day in performing actions for bypassing obstacles and hurdles in their regular life. In order to help visually impaired people navigate safely and quickly this system is proposed. Ultrasonic sensor is set on the exhibition which is utilized for impediment location with separate sign. The camera is set to detect the object before the outwardly impeded individuals and alarm them utilizing APR voice module. This system prevents the visually impaired people accidents and identifies the object in front of them. The scope of the work is extracting the object’s image and processing them in the knowledge base and interpret the captured one. Assistive Innovation for individuals with outwardly disabilities is anticipated to develop at a quick pace and affect the lives of people having visual impedance and the elderly ways previously is not possible. KEY WORDS: SURF-Speedup Robust Feature, VPN- Visual Handling Unit, NCS-Neural Compute Adhere, APR-Apache Portable Runtime.
Impact of Supply Chain Quality Management (SCQM) on Organisation Performance: A Conceptual Framework

With the growing importance of inter disciplinary approaches in management, it was also relevant to study the impact of combined effect of management practices towards any desired outcome. In the present study, the author tried to understand the combination of Total Quality Management and Supply Chain Management and attempted to add value to the existing views on Supply Chain Quality Management (SCQM). Further the literature review approach as carried out to understand the definite gap that exists in the area of SCQM. Also the study added two more objectives of assessing the impact of SCQM on organization‟s performance in view of two mediating variables say, Business Uncertainties and Customer Expectation. This would enhance the focus of SCQM in relationship with all the included variables which will enable any organization to lay policies based on the identified relationship between the variables of the study. Vast literature was assessed on all the variables and the research gap was identified paving way for an important objective of studying the impact of SCQM on Organization‟s performance in purview of Business uncertainties and Customer Expectation.
Regional variation of thigh muscle fat infiltration in patients with neuromuscular diseases compared to healthy controls.

Background Chemical shift encoding-based water-fat magnetic resonance imaging (CSE-MRI) measures a quantitative biomarker: the proton density fat fraction (PDFF). The aim was to assess regional and proximo-distal PDFF variations at the thigh in patients with myotonic dystrophy type 2 (DM2), limb-girdle muscular dystrophy type 2A (LGMD2A), and late-onset Pompe disease (LOPD) as compared to healthy controls. Methods Seven patients (n=2 DM2, n=2 LGMD2A, n=3 LOPD) and 20 controls were recruited. A 3D-spoiled gradient echo sequence was used to scan the thigh musculature. Muscles were manually segmented to generate mean muscle PDFF. Results In all three disease entities, there was an increase in muscle fat replacement compared to healthy controls. However, within each disease group, there were patients with a shorter time since symptom onset that only showed mild PDFF elevation (range, 10% to 20%) compared to controls (P≤0.05), whereas patients with a longer period since symptom onset showed a more severe grade of fat replacement with a range of 50% to 70% (P<0.01). Increased PDFF of around 5% was observed for vastus medialis, semimembranosus and gracilis muscles in advanced compared to early DM2. LGMD2A_1 showed an early disease stage with predominantly mild PDFF elevations over all muscles and levels (10.9%±7.1%) compared to controls. The quadriceps, gracilis and biceps femoris muscles showed the highest difference between LGMD2A_1 with 5 years since symptom onset (average PDFF 11.1%±6.9%) compared to LGMD2A_2 with 32 years since symptom onset (average PDFF 66.3%±6.3%). For LOPD patients, overall PDFF elevations were observed in all major hip flexors and extensors (range, 25.8% to 30.8%) compared to controls (range, 1.7% to 2.3%, P<0.05). Proximal-to-distal PDFF highly varied within and between diseases and within controls. The intra-reader reliability was high (reproducibility coefficient ≤2.19%). Conclusions By quantitatively measuring muscle fat infiltration at the thigh, we identified candidate muscles for disease monitoring due to their gradual PDFF elevation with longer disease duration. Regional variation between proximal, central, and distal muscle PDFF was high and is important to consider when performing longitudinal MRI follow-ups in the clinical setting or in longitudinal studies.
Estimating Pier Scour Depth: Comparison of Empirical Formulations with ANNs, GMDH, MARS, and Kriging

Scouring, occurring when the water flow erodes the bed materials around the bridge pier structure, is a serious safety assessment problem for which there are many equations and models in the literature to estimate the approximate scour depth. This research is aimed to study how surrogate models estimate the scour depth around circular piers and compare the results with those of the empirical formulations. To this end, the pier scour depth was estimated in non-cohesive soils based on a subcritical flow and live bed conditions using the artificial neural networks (ANN), group method of data handling (GMDH), multivariate adaptive regression splines (MARS) and Gaussian process models (Kriging). A database containing 246 lab data gathered from various studies was formed and the data were divided into three random parts: 1) training, 2) validation and 3) testing to build the surrogate models. The statistical error criteria such as the coefficient of determination (R2), root mean squared error (RMSE), mean absolute percentage error (MAPE) and absolute maximum percentage error (MPE) of the surrogate models were then found and compared with those of the popular empirical formulations. Results revealed that the surrogate models’ test data estimations were more accurate than those of the empirical equations; Kriging has had better estimations than other models. In addition, sensitivity analyses of all surrogate models showed that the pier width’s dimensionless expression (b/y) had a greater effect on estimating the normalized scour depth (Ds/y).