Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Literature Review in Shariah Audit

This study aims to present in detail the sharia audit research based on a systematic literature review. From 2013–2023, 40 articles were collected from the Scopus database. This research is seen from a theoretical point of view, geographical distribution, research background, and theme. The results show an increase in Islamic audit research in recent years. Compared to other Islamic countries, most of the research was conducted in specific countries, such as Malaysia. In addition, it has been found that previous studies have not known the antecedents and effects of effective Islamic auditing practices in IPIs, The focus of research on certain theories, such as agency theory, limits the way of research.
Localisation et cartographie simultanées en environnement extérieur à partir de données issues d'un radar panoramique hyperfréquence

Le SLAM, « Simultaneous Localisation And Mapping », represente a l'heure actuelle l'une des principales thematiques investiguees dans le domaine des robots mobiles autonomes. Il permet, a l'aide de capteurs exteroceptifs (laser, camera, radar, etc.) et proprioceptifs (odometre, gyrometre, etc.), de trouver l'orientation et la localisation d'un robot dans un environnement exterieur vaste, inconnu ou modifie, avec la possibilite de creer une carte au fur et a mesure des deplacements du vehicule. Les travaux de these decrits dans ce manuscrit s'integrent dans ce courant de recherche. Ils visent a developper un SLAM innovant qui utilise un radar a modulation de frequence continue « FMCW » comme capteur exteroceptif. Ce capteur est insensible aux conditions climatiques et possede une portee de detection importante. Neanmoins, c'est un capteur tournant qui, dans une utilisation mobile, va fournir des donnees corrompues par le deplacement du vehicule. Pour mener a bien ces travaux, nous avons proposes differentes contributions : une correction de la distorsion par l'utilisation de capteurs proprioceptifs ; le developpement d'une technique de localisation et cartographie simultanees nommee RS-SLAM-FMT qui effectue un scan matching sur les observations et utilise un algorithme estimatif de type EKF-SLAM ; l'utilisation, pour la premiere fois en SLAM, de la mise en correspondance par Transformee de Fourier-Mellin pour realiser l'operation de scan matching ; la creation d'un outil experimental pour determiner la matrice de covariance associee aux observations ; des tests de robustesse de l'algorithme dans des conditions d'utilisation reelles : dans des zones avec un faible nombre de points d'interets, sur des parcours effectues a vitesse elevee, dans des environnements peri-urbains avec une forte densite d'objets mobiles ; la realisation d'une application temps reel pour le test du procede sur un vehicule d'exploration qui se deplace dans un environnement exterieur vaste.
Fingerprint definition for song recognition using Machine Learning Algorithm

A condensed content-based signature that summarises an audio recording is known as an audio fingerprint. Audio The capability to recognize music regardless of design and without the use of meta-data or watermark embedding has made fingerprinting technologies popular. In. tegrity checking, watermark support, and content-based aural retrieval are additional applications for fingerprinting. The various methods of fingerprinting have been discussed using various justifications and terminologies, such as pattern matching, multimedia information retrieval, or cryptography. It is a distinct and condensed digest created using perceptually important elements of a video. Audio material can be monitored using fingerprinting technologies without requiring embedding of metadata or watermarks. However, audio fingerprinting has extra applications The algorithm is trained using thousands of mini audio speech commands. In order to improve the training efficiency, audio features are extracted during a pre-processing. The accuracy of the developed model is 83.7%.
Trends in long‐term outcomes of patients with HCV‐associated hepatocellular carcinoma after hepatectomy: A comparison before and after introduction of direct‐acting antivirus therapy

Abstract Backgrounds The success of direct‐acting antiviral (DAA) therapy provides a cure for patients chronically infected with hepatitis C virus (HCV); however, outcomes after hepatectomy for HCV‐associated hepatocellular carcinoma (HCC) before and after DAA introduction remain poorly studied. Methods Patients who underwent R0/R1 hepatectomy for HCV‐associated HCC were retrospectively analyzed. Two time periods were defined: Pre‐DAA (2007–2011, December 2013 was defined as the end of follow‐up) and Post‐DAA groups (2014–2018, December 2020 was defined as the end of follow‐up). Propensity score matching (PSM) analyses were performed to highlight the effect of DAA therapy. Results A total of 155 patients with HCV‐associated HCC were included in this study (Pre‐DAA group, n = 103 and post‐DAA group, n = 52). In the Post‐DAA group, DAA therapy was performed in 26 patients (50.0%), and all of these patients achieved sustained virologic response (SVR) (preoperative SVR, n = 7; postoperative SVR, n = 19). There was no significant difference between the two groups regarding surgical settings and tumor pathology. There was no significant difference in the 5‐year overall survival (OS) rate (61.1% and 64.8%, pre‐ and post‐DAA group, respectively, p = 0.441); meanwhile, the 5‐year recurrence‐free survival (RFS) rate in the post‐DAA group was better than the pre‐DAA group (21.1% and 40.2%, p = 0.073) with a trend toward significance. After PSM except for the postoperative SVR status, there were no significant differences in OS (p = 0.586) and RFS (p = 0.888). Conclusions This study showed that survival outcomes were not changed in hepatectomized cases of HCV‐associated HCC before and after the introduction of DAA therapy.
School Feeding Programme Implementation and its Challenges in Basic Education Schools in Rwanda

The condition of food insecurity and malnutrition for school-aged children and adolescents remains one of the most influential determinants of learning outcomes. Healthy and well-nourished students learn better, have a prodigious opportunity to thrive and fulfil their potential as adults, and increase their earning potential. The purpose of this study was twofold: a) to examine the implementation level of the school feeding programme and b) to identify the existing challenges that limit the school feeding programme from realizing its full potential in basic education schools. The study was directed by a descriptive research design, and 227 were selected using stratified and simple random sampling approaches, with 73.7% males and 26.3% females. The bulk of participants (39.2%) were between the ages of 30 and 40. Questionnaires and interview guides were used to obtain quantitative and qualitative data. The numeric data were descriptively examined using SPSS, and the qualitative data was studied using theme analysis. The study established a moderate level of school feeding implementation in terms of programmes coverage, school meal and cost, school meal preparation, and service. The study revealed different challenges hindering the effectiveness of the school feeding programme in basic education schools, including insufficient food served to the students in quantity and quality, inadequate materials and infrastructure, and unaffordable prices of required groceries from the market. To improve the efficiency and effectiveness of school feeding programmes, the Rwandan government and its partners in these programmes should raise the school feeding fund allotted to basic education institutions throughout the country. To the same extent, the Rwandan government is advised to a) transfer the school feeding fund to the schools for timely use, b) provide the schools with the necessary equipment and materials for cooking and serving meals to students, as well as the provision of required dining rooms, c) find an adequate way to fix the country's progressive price increase, and d) promote the school gardening concept (such as growing vegetables and other relevant crops). Keywords: School feeding programmes, Basic education schools, Implementation, Challenges, physiological and psychological needs, Sustainable Development Goals (SDGs).
Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines

Key-value data structures constitute the core of any datadriven system. They provide the means to store, search, and modify data residing at various levels of the storage and memory hierarchy, from durable storage (spinning disks, solid state disks, and other non-volatile memories) to random access memory, caches, and registers. Designing efficient data structures for given workloads has long been a focus of research and practice in both academia and industry. This book outlines the underlying design dimensions of data structures and shows how they can be combined to support (or fail to support) various workloads. The book further shows how these design dimensions can lead to an understanding of the behavior of individual state-of-the-art data structures and their hybrids. Finally, this systematization of the design space and the accompanying guidelines will enable you to select the most fitting data structure or even to invent an entirely new data structure for a given workload. Manos Athanassoulis, Stratos Idreos and Dennis Shasha (2023), “Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines”, Foundations and Trends® in Databases: Vol. 13, No. 1-2, pp 1–168. DOI: 10.1561/1900000059. ©2023 M. Athanassoulis et al. Full text available at: http://dx.doi. org/10.1561/1900000059
Integrating Point Absorber Wave Energy Converters into the Grid: An Adaptive and Stable Solution

Ocean wave energy holds promise as a renewable energy source, with a higher energy density compared to alternatives such as solar or wind energy. However, the challenge is efficiently converting this energy into usable electricity. Heaving point absorber wave energy converters (WECs) provide a promising solution, but the unpredictable nature of ocean waves makes integrating them into the grid difficult. This project aims to overcome this obstacle by incorporating an energy storage system (ESS) to smooth out power generation fluctuations. The study adapts two levels of control for the system, one regulating the power converters, and the other is a power management system that manages the reference power fed into the grid. The paper delves deeply into the regulation of power converters including the grid-side converter, and the energy storage system (ESS) to guarantee stability and maintain suitable system parameters during grid connection. The control design also uses a hysteresis control for the dummy load to enable and disable the load accordingly. The modeling and simulation were carried out using a real-time simulator (RTS) with a microsecond execution rate, providing a comprehensive understanding of the necessary regulatory processes for a viable future in renewable energy systems.
Occupational safety and health in Thailand : a country report for ILO/ADB RETA Project: 5887: strengthening the role of labour standards in selected developing member countries

Reviews the organization of occupational safety and health (OSH) at the national level in Thailand and, based on a survey of 23 small and medium size enterprises, examines the situation in manufacturing industries. Outlines a development plan for OSH and the environment and makes recommendations for strengthening OSH, particularly in small and medium size enterprises.
Nicotinamide N-Methyl Transferase as a Predictive Marker of Tubular Fibrosis in CKD

Purpose Chronic kidney disease (CKD) progression is complex. There are not standardized methods for predicting the prognosis of CKD. Nicotinamide N-methyltransferase (NNMT) has been shown to be associated with renal fibrosis. This study aimed to validate NNMT as a prognostic biomarker of progressive CKD. Patients and Methods We explored the relationship between NNMT expression and CKD-related outcome variables using the NephroseqV5 and GEO databases. Additionally, a validation set of 37 CKD patients was enrolled to measure the correlation between NNMT expression levels and CKD outcomes. Furthermore, single-cell RNA sequencing data and the Human Protein Atlas were reanalyzed to investigate the expression specificity of NNMT in the kidney. Finally, to detect the status of NNMT expression with tubular fibrosis in vivo, we constructed a unilateral ureteral obstruction (UUO) mouse treated with an NNMT inhibitor. Results Analyzing the datasets showed that NNMT was expressed mainly in proximal tubule compartments. And patients with high NNMT expression levels had a significantly lower overall survival rate compared to those with low NNMT expression levels (P = 0.013). NNMT was independent of prognosis factors in the multivariate Cox regression model, and the AUCs for CKD progression at 1, 3, and 5 years were 0.849, 0.775, and 0.877, respectively. Pathway enrichment analysis indicated that NNMT regulates the biological processes of tubulointerstitial fibrosis (TIF). In the validation group, NNMT levels were significantly higher in the CKD group combined with interstitial fibrosis. In vivo, NNMT was a high expression in the UUO group, peaking at postoperative day 21. Treatment with an NNMT inhibitor improved renal tubular interstitial fibrosis, and expression levels of FN, α-SMA, VIM, and TGF-β1 were decreased compared with UUO (P < 0.05). Conclusion NNMT was expressed mainly in tubular renal compartments, and associated with CKD prognosis. It holds potential as a diagnostic biomarker for tubular fibrosis in CKD.
An Energy-Efficient Ultra-Dense Network Cell Coverage Adjustment Algorithm

Ultra-dense network (UDN) plays a key role in 5G networks to provide ultra-high speed, ultra-low latency data services by densely deploying multiple small cells in specific areas. Numerous small cells can increase network capacity and improve quality of service (QoS), while the network structure has become more complex. Due to the large number of mobile users and frequent handover in these areas, the traffic demand varies rapidly over time. It induces a severe imbalance of mobile traffic load among small cells. The users suffering from load imbalance require frequent handover, which implies a significant increment in energy consumption. In this paper, we propose the cell range adjustment by biasing reference signal received power (RSRP) to achieve load balancing and higher energy efficiency. The values of bias are determined by considering the amount of cell traffic and cell range inversely proportional to the amount of cell traffic. To estimate the amount of cell traffic, the traffic prediction is performed based on long short-term memory (LSTM) algorithm. Simulation results show that our proposed cell range adjustment algorithm increases the throughput of edge users at the cost of a slight decrease in average signal-to-noise ratio (SNR).
Control-Aware Resource Scheduling Method for Wireless Networked Control Systems

Due to the advantages of low latency, high bandwidth, and reliable connectivity, 5G has been increasingly adopted in industrial control applications. In this article, we consider 5G-based wireless networked control systems (WNCSs) and study resource scheduling methods of 5G networks to support the high-speed control of multiple independent control systems. First, considering the packet dropout problem of WNCSs, we give the optimal state estimator and linear-quadratic-Guassian (LQG) control of the studied WNCS. Second, we analyze the inherent connection between the LQG cost and the transmission reliability of 5G, formulate the resource scheduling problem as an integer programming, and further propose a control-aware resource scheduling (CARS) method to minimize the math expectation of the LQG cost. Finally, the efficiency of the CARS method is demonstrated via extensive simulations.
Copula-based Analysis of Interference Channels: Outage Probability

In this paper, we investigate the impact of fading correlation on the performance of interference channels. To this end, we exploit the Copula theory as a flexible approach to model the dependence structure between channel fading coefficients. We determine a general closed-form expression of the outage probability (OP) for any choice of fading distributions under correlated conditions. In addition, for exemplary purposes, we obtain the closed-form expression of the OP under correlated/independent Rayleigh fading channels by exploiting the lower/upper Fréchet-Hoeffding and product Copulas, which provide the negative/positive perfect correlations and the independent case, respectively. Results show that the OP performance improves under the positive dependence structure compared with the independent case.
2 X 2 MIMO Antenna Design For 5G Applications

In today’s modern era antenna plays a vibrant part in the recent development of wireless communication technology era. Compact size, high bandwidth, and efficacy of Microstrip patch antenna makes it preferable in favor of wireless communication modules. Evolution has been occurring in the communication domain for the last few years in a fast bound manner. In mobile communication technology, starting from the first generation to the most using fourth generation, which is known as the LTE/4G, considerable improvements have occurred. In the present time 5G is the strongest examine region for numerous scholars due to its high data rate. With the ever-increasing internet traffic and demand for high data rate, 5G would be more suitable for the users to accommodate their wide band and broadband needs. A multiple input multiple output (MIMO) antenna is proposed for 5G efforts in this paper. The indicated antenna is made using FR4 epoxy substrate material which has the dielectric constant value as 4.4. The MIMO antenna structure consists of four basic shaped rectangular microstrip patch antennas and a slotted ground plane structure. The various shapes like U slots and L slots are assumed to be designed for multiple bands of frequencies. Two parasitic elements are incorporated directly between the antennas on the substrate's backside to improve the isolation between them. For further improvement of antenna results, optimization of the antenna parameters is performed. The Ansys HFSS software was adopted to model the MIMO antenna.
Pastoral Capitalism: A History of Suburban Corporate Landscapes

By the end of the twentieth century, America's suburbs contained more office space than its central cities. Many of these corporate workplaces were surrounded, somewhat incongruously, by verdant vistas of broad lawns and leafy trees. In Pastoral Capitalism, Louise Mozingo describes the evolution of these central (but often ignored) features of postwar urbanism in the context of the modern capitalist enterprise. These new suburban corporate landscapes emerged from a historical moment when corporations reconceived their management structures, the city decentralized and dispersed into low-density, auto-dependent peripheries, and the pastoral--in the form of leafy residential suburbs--triumphed as an American ideal. Greenness, writes Mozingo, was associated with goodness, and pastoral capitalism appropriated the suburb's aesthetics and moral code. Like the lawn-proud suburban homeowner, corporations understood a pastoral landscape's capacity to communicate identity, status, and right-mindedness. Mozingo distinguishes among three forms of corporate landscapes--the corporate campus, the corporate estate, and the office park--and examines suburban corporate landscapes built and inhabited by such companies as Bell Labs, General Motors, Deere & Company, and Microsoft. She also considers the globalization of pastoral capitalism in Europe and the developing world including Singapore, India, and China. Mozingo argues that, even as it is proliferating, pastoral capitalism needs redesign, as do many of our metropolitan forms, for pressing social, cultural, political, and environmental reasons. Future transformations are impossible, however, unless we understand the past. Pastoral Capitalism offers an indispensible chapter in urban history, examining not only the design of corporate landscapes but also the economic, social, and cultural models that determined their form.
Comparison of quick speech-in-noise test and pure tone audiometry in noise-induced hearing loss

Abstract Objective Complaints of speech understanding in situations where background noise exists, can be seen from early stages of Noise-Induced Hearing Loss (NIHL); therefore, speech-in-noise tests including Quick speech-in-noise (Q-SIN) tests may be a suitable method for screening NIHL. The Q-SIN test uses the Signal to Noise Ratio (SNR) to evaluates speech perception in the presence of noise. This study aimed to compare pure tone audiometry and Q-SIN tests in patients with NIHL and normal hearing subjects. Methods In this cross-sectional study, according to the result of audiometry, subjects were classified into two groups: 45 individuals with audiograms suggestive of NIHL as a case group and 57 normal-hearing individuals as controls. The Persian version of the Quick-SIN test was performed for two study groups. The Mann-Whitney U Test was used for the comparison of mean SNR and hearing thresholds between the study groups. Spearman test was implemented for evaluation of the correlation between mean SNR and mean hearing thresholds in high and low frequencies in both ears. Results The median SNR loss was significantly higher in the NIHL group [0.75 (IQR: −0.75, 2.75)] than in the normal hearing group [−1.25 (−0.25, 1.25)] (p < 0.0001). It was also found that in the NIHL group, SNR loss had a direct and significant correlation with the high frequencies of both ears and the low frequency of the left ear, as the average hearing threshold increases at high frequencies and low frequencies of the left ear, the SNR loss mean increases as well. Conclusion The present study showed that the Q-SIN test as a rapid, easily applicable test has a positive correlation with pure tone audiometry results, especially at higher frequencies.
Scale‐Dependent Estimability of Turbulent Flux in the Unstable Surface Layer for Land Surface Modeling

Surface flux estimation is essential to land surface modeling in earth system models. In practice, parameterizations of surface turbulent fluxes are almost all based on the similarity theory. That is, the grid or subgrid mean surface‐layer flow is assumed at equilibrium with the underlying earth surface, and therefore some empirical relations can be used to estimate surface fluxes. In this paper, scale‐dependent estimability of turbulent flux in the unstable surface layer is systematically investigated based on high‐resolution large‐eddy simulation data over a flat and homogeneous domain, representing a typical land surface modeling grid. It is found that turbulent flow in the unstable surface layer inherently fluctuates over a wide range of scales. This kind of fluctuation affects the steady‐state relations between mean atmospheric quantities and underlying earth surface, and hence affects the estimability of surface fluxes. Sensitivity tests show that the relative root mean square error of the estimated surface friction velocity for a subdomain generally increases as the subdomain becomes smaller. The error can be as high as 35% as the subdomain size decreases to the order of the surface layer height. To achieve an error of 10% for all cases, the subdomain size should be at least on the order of the boundary layer height. These findings imply that estimability‐based strategies may be needed for representing subgrid heterogeneity for surface flux estimation in land surface modeling.