Miracle-dz/UniFAR-FTUs huggingface dataset:
Terms of Reference of The Iraqi Commercial Court

In light of the Iraqi Supreme Judicial Council No. (74) for the year 2000 and its influence on the economic and commercial side, this study attempts to illustrate the viability of founding the Iraqi Commercial Court. It is the whole seed. The goal is to make commercial conflicts more swiftly and efficiently resolved through establishing an expert commercial judiciary. Specialized judges with high expertise and knowledge help ensure that court judgments are successful in both processes and causes. In light of the statement published by the Supreme Judicial Council No. (74) for the year 2020, the research focuses on the efficacy of the Iraqi commercial Court in addressing commercial disputes. This article reveals that the Iraqi legislative attempts to attract international investment and the Iraqi executive branch's continued efforts to resolve investor concerns by modifying the Investment Law. The Iraqi court has successfully developed a stable legal environment for multinational firms. Commercial courts, acknowledged as fair by international businesses, were established to accomplish this. As a result of Iraq's communist past, foreign investment was viewed as a source of skepticism and mistrust for many years. These courts will undoubtedly play a significant role in advancing Iraq's progress. However, courts alone will not provide the long-term guarantees needed to transform Iraq's legal framework for domestic and foreign businesses to operate inside. Civil law countries like Iraq necessitate significant reforms to the country's intellectual property, investment, and arbitration regimes.
Determining The Recurrence of Diabetic Patients Recovery Time in BenishangulGumuz Hospitals, Ethiopia

Diabetes is a chronic, metabolic disease characterized by elevated levels of blood glucose (or blood sugar). About 90% of people with diabetes around the world have type II diabetes. It is the main global health issues and burden as well with serious health complications including heart disease, blindness, kidney failure, and lower-extremity amputations. In middleand low-income countries the prevalence of diabetes has been rising more rapidly and needs great attention. The data from such case has been considered as recurrent event data and correlation between events should be taken into account in the analysis. Thus, the aim of the study was to identify risk factors for recurrence of diabetic patient’s recovery time in Benishangul-Gumuz hospitals (Assosa, Pawi and Wonbera hospital), Ethiopia. A retrospective study has been applied to obtain data on the recurrence of diabetic patient’s recovery time in Benishangul-Gumuz hospitals, Ethiopia, from September 1, 2019 to September 1, 2021. Kaplan-Meier plot (s) and Log-rank test were used for comparison of patient’s recovery time from diabetes; Standard Cox-PH and Shared Frailty model were used to identify factors significantly affect the recovery time of diabetic patients, using R version 4.1. 1 for data analysis. Of the total diabetic patients in this study 61.87 % experienced recurrence of diabetic. The estimated median recovery time of diabetic patients was 6 months. The Shared Log-normal Frailty model was chosen to be best fit for this data set, based on Likelihood Cross-Validation value. Family history, other medical history and Systolic Blood Pressure of patients were significantly affected the recovery time of diabetic patient’s.
THE EFFECT OF ORGANIZATIONAL JUSTICE ON EMPLOYEE PERFORMANCE MEDIATED BY AFFECTIVE AND NORMATIVE COMMITMENT, AND LEADERMEMBER EXCHANGE ON EMPLOYEES OF PT. BANK ACEH

This research aims to test the organizational justice effect on employee performance mediated by affective commitment, normative commitment, and leader-member exchange (LMX) in PT Bank Aceh (BAS). In this study, the intended population was 125 employees of BAS Head Office, and the number of samples was the same as the population. Data were analyzed using SEM - AMOS. The result provided that Organizational Justice affects the Affective Commitment of employees at BAS, Organizational Justice affects the normative commitment of employees at BAS, Organizational Justice affects the LMX of employees at BAS, Organizational Justice does not affect employee performance at BAS, Affective Commitment affects employee Performance at BAS, Normative Commitment affects employee performance at BAS, LMX affects employee performance at BAS, Affective Commitment fully mediates the Organizational Justice role in employee Performance of BAS, Normative Commitment fully mediates the Organizational Justice role in the employee Performance of BAS, LMX fully mediates the Organizational Justice role in the Employee Performance of BAS. These findings prove that the employee performance improvement model at BAS is a function of Strengthening Organizational Justice which can play a role in increasing affective and normative commitment, as well as LMX.
SimuPy Flight Vehicle Toolkit

Vehicle flight simulation is an important part of the innovation of aerospace vehicle technology. Built on the SimuPy modeling and simulation framework (B. W. Margolis, 2017), the SimuPy Flight Vehicle Toolkit provides a modular framework for rapid implementation of simulations for novel flight vehicle concepts, such as hypersonic re-entry vehicles or urban air mobility vehicles. The open source repository of the source code includes implementations for the sixteen atmospheric test cases defined by the NASA Engineering Safety Center (NESC), which serve as validation of the simulation framework and examples of its usage.
STRUCTURAL SYNTHESIS OF HYBRID NEURAL NETWORKS ENSEMBLES

It is considered the structural synthesis of hybrid neural networks ensembles. It is chosen the ensemble topology as parallel structure with united layer. It is developed a hybrid algorithm for the problem solution which includes some algorithms preliminary choice of classifiers(modules of neural networks-hybrid neural networks, which consist of Kohonen, basic neural networks and bi-directional associative memory), creation the bootstrap training samples for every classifier, training these classifiers, optimal choice of necessity ones, determination of layer union weight coefficients, ensemble pruning. For the solution of optimal choice classifiers it is used two criteria: accuracy and variety.
Automated reasoning over string constraints

More and more applications in verification and security rely on automatic solvers, which can check the satisfiability of constraints over a rich set of data types, including character strings. Unfortunately, most string solvers today are standalone tools that can reason only about some fragment of the theory of strings and regular expressions, sometimes with strong restrictions on the expressiveness of their input language (such as, length bounds on all string variables). These specialized solvers reduce string problems to satisfiability problems over specific data types, such as bit vectors, or to automata decision problems. On the other hand, despite their power and success as back-end reasoning engines, general-purpose Satisfiability Modulo Theories (SMT) solvers so far have provided minimal or no native support for string reasoning. This thesis presents a deductive calculus describing a new algebraic approach that allows solving constraints over the theory of unbounded strings and regular expressions natively, without reduction to other problems. We provide proofs of refutation soundness and solution soundness of our calculus, and solution completeness under a fair proof strategy. Moreover, we show that our calculus is a decision procedure for solving regular membership and length constraints. We have implemented our calculus as a string solver for the theory of unbounded strings with concatenation, length, and membership in regular languages, and incorporated it into the SMT solver cvc4 to expand its already large set of built-
A Deep Learning-Assisted Visible Light Positioning Scheme for Vehicles With Image Sensor

Visible light communication (VLC) based on image sensor (IS) as the receiver is one of the supplementary technologies of radio frequency communication. By combining with image processing technology, VLC has various applications in smart home, underwater communication and intelligent transportation system (ITS). In the paper, it focuses on the vehicle positioning service provided by VLC in ITS. For the weak image spatial separability caused by long-distance VLC transmission between the vehicle and the infrastructure, it will lead to serious deterioration in communication and positioning performance. Thus, a deep learning-assisted IS-based visible light positioning (VLP) scheme is proposed and experimentally demonstrated. At the transmitter, a novel coding method is proposed to support both short-distance and long-distance communication based on VLC in ITS. Meanwhile, it can meet the dimming requirements of LED road infrastructure. In addition, in the proposed VLP scheme, it uses an artificial neural network (ANN) to predict the location of the vehicle. It is demonstrated that long-distance communication, high-accuracy positioning, and LED dimming can be realized simultaneously. The results show that, by using the proposed scheme, as the transmission distance is 2 m, the bit error rate (BER) of system is 1.25 × 10−4. And the average positioning error is 19.8 mm at the maximum simulated distance of 30 m.
SOFIA Flight Planning and Execution

The Stratospheric Observatory for Infrared Astronomy (SOFIA) is NASA’s airborne observatory. Observing with SOFIA has different challenges than observing from a ground based, or even space-based observatory. Although pointing SOFIA is similar to pointing an alt/az telescope, positioning the telescope requires not only the telescope assembly but also the aircraft. SOFIA’s telescope assembly can move in altitude nominally between 20∘ and 60∘. Since the telescope is pointed out the left side of a modified Boeing 747, the azimuth is determined by the aircraft heading. As a result, observing plans become the basis for a flight plan, and the science observation and aircraft operations are intrinsically linked. This paper will discuss flight planning and execution on this unique observatory.
The molecular mechanism of natural short sleep: A path towards understanding why we need to sleep

Sleep constitutes a third of human life and it is increasingly recognized as important for health. Over the past several decades, numerous genes have been identified to be involved in sleep regulation in animal models, but most of these genes when disturbed impair not only sleep but also health and physiological functions. Human natural short sleepers are individuals with lifelong short sleep and no obvious adverse outcomes associated with the lack of sleep. These traits appear to be heritable, and thus characterization of the genetic basis of natural short sleep provides an opportunity to study not only the genetic mechanism of human sleep but also the relationship between sleep and physiological function. This review focuses on the current understanding of mutations associated with the natural short sleep trait and the mechanisms by which they contribute to this trait.
Notable predominant morphology of the smallest most abundant protozoa of the open ocean revealed by electron microscopy

Abstract In the microbe-driven ecosystems of the open ocean, the small heterotrophic flagellates (sHF) are the chief microbial predators and recyclers of essential nutrients to phototrophic microbes. Even with intensive molecular phylogenetic studies of the sHF, the origins of their feeding success remain obscure because of limited understanding of their morphological adaptations to feeding. Here, we examined the sHF morphologies in the largest, most oligotrophic South Pacific and Atlantic (sub)tropical gyres and adjacent mesotrophic waters. On four research cruises, the sHF cells were flow cytometrically sorted from bacterioplankton and phytoplankton for electron microscopy. The sorted sHF comprised chiefly heterokont (HK) biflagellates and unikont choanoflagellates numerically at around 10-to-1 ratio. Of the four differentiated morphological types of HK omnipresent in the open ocean, the short-tinsel heterokont (stHK), whose tinsel flagellum is too short to propagate a complete wave, is predominant and a likely candidate to be the most abundant predator on Earth. Modeling shows that the described stHK propulsion is effective in feeding on bacterioplankton cells at low concentrations; however, owing to general prey scarcity in the oligotrophic ocean, selective feeding is unsustainable and omnivory is equally obligatory for the seven examined sHF types irrespective of their mode of propulsion.
The “exposure-based cross-sectional” study design: a novel observational study design applicable to rare exposures

Current epidemiological studies are either inefficient or very expensive and time-consuming when the exposure of interest is very rare. The ‘exposure-based cross-sectional’ study is a new design that can overcome this problem. The ‘exposure-based cross-sectional’ study starts with exposed and unexposed groups. Then, these two groups are compared to determine what proportion of each group have the disease and what proportion do not. It is as if we were conducting a reversed case–control study in which the positions of the disease and exposures are altered. Dissimilar to retrospective cohort studies, the ‘exposure-based cross-sectional’ study does not depend on the basic existing records. This study measures the disease ‘prevalence’ rather than the disease ‘incidence’. The ‘exposure-based cross-sectional’ study design was examined in several real-life epidemiological studies with binary and continuous outcomes. The ‘exposure-based cross-sectional’ study is an efficient, inexpensive, expeditious, and easy to conduct study design for rare exposures. It can be performed for both binary and continuous outcomes.
Learning management through engineering design process based on STEM education for developing creative thinking in equilibrium topic for 10th grade students

Nowadays, the economy is highly competitive, the government needs to develop innovations to increase the value of output by focusing on using creative thinking and innovation to solve the problem. The purpose of this research was to develop creative thinking through engineering design process based on STEM education in the topic of equilibrium for 10th grade Thai students. The methodology of this research was classroom action research. The participants were 44 students. The research instruments included students’ worksheets, posters and student’s artifacts, classroom observation forms and interviews. The data were analyzed using content analysis. The results of this study illustrated that the learning management through engineering design process based on STEM education can promoted students’ creative thinking in the following three competencies, in order of the number of students showing development from most to least: 1) Implement Innovations; 2) Work Creatively with Others; and 3) Think Creatively.
Performance Improvement of Surface Permanent Magnet Vernier Motor by Adjusting Current Control Angle Considering Magnetic Saturation

Surface permanent magnet vernier motors (SP-MVMs) possess the characteristics of high torque density and simple structure, making them a compelling technology for gearless applications, such as in-wheel motors and robots. This paper investigates the impact of current control angle on the magnetic saturation at the rated operating point for SPMVMs. The magnetic saturation analysis is conducted on motors with various magnet thickness to identify the effect of magnetic saturation level on the performance metrics. Focus is placed on selecting the optimal current angle to achieve both high torque density and power factor at the rated point. It shows that SPMVMs with small magnet thickness exhibit higher torque density and power factor simultaneously than those with thick magnet, if appropriate current control angle is set at the rated operating point. Moreover, the selection of the current angle has no significant impact on the flux weakening capability. This finding can be used to define the optimal current control angle of SPMVMs at the rated operating point for improved performance and reduced power burden on the inverter. The simulation results show that a high torque density of 23 Nm/L and a high power factor of 0.92 is achieved. Part of the experiment has been conducted for SPMVMs.
An Improved Machine Learning Model for Diagnostic Cancer Recognition Using Artificial Intelligence

In the medical field, some specialized applications are currently being used to treat various ailments. These activities are being carried out with extra care, especially for cancer patients. Physicians are seeking the help of technology to help diagnose cancer, its dosage, its current status, cancer classification, and appropriate treatment. The machine learning method developed by an artificial intelligence is proposed here in order to effectively assist the doctors in that regard. Its design methods obtain highly complex cancerous inputs and clearly describe its type and dosage. It is also recommending the effects of cancer and appropriate medical procedures to the doctors. This method ensures that a lot of doctors' time is saved. In a saturation point, the proposed model achieved 93.31% of image recognition, 6.69% of image rejection, 94.22% accuracy, 92.42% of precision, 93.94% of recall rate, 92.6% of F1-score, and 2178 ms of computational speed. This shows that the proposed model performs well while compared with the existing methods.
Peranan Perception Of Digital Celebrities Terhadap Live-Stream Shopping Intentions

Seeing the growing of live streaming and commercial value that be generated but the research on live streaming trade is still in the early stage. And there are several previous studies with different research results regarding the influence of digital celebrity perceptions on consumer shopping intentions. So this study aims to assess the antecedents of live streaming shopping intentions by integrating Perception of Digital Celebrities with Uses and gratifications theory. This study uses a quantitative approach, the data used in this study is primary data which obtained by distributing questionnaires from 116 Indonesian consumers. Data were analyzed using Structural Equation Modeling based on Partial Least Square through WarpPLS® 7.0. The results of this study indicate that the perception of digital celebrities has no significant effect on consumers' live streaming shopping intentions. The results of the study show that individuals are motivated by hedonic gratification (Perceived Enjoyment), utilitarian (Perceived Utility), and social (Social Interaction). As well as Perceived Enjoyment, Perceived Utility and Social Interaction mediate the relationship between Perception of Digital Celebrities and Live-Stream Shopping Intentions. penelitian ini bertujuan untuk untuk menilai anteseden niat belanja live streaming dengan mengintegrasikan Perception of Digital Celebrities dan Uses and gratifications theory . Penelitian ini menggunakan pendekatan kuantitatif, data yang digunakan dalam penelitian ini merupakan data primer yang diperoleh dari penyebaran kuesioner dari 116 konsumen Indonesia. Data dianalisis menggunakan metode Structural Equation Modeling berbasis Partial Least Square melalui WarpPLS® 7.0. Hasil dari penelitian ini menunjukkan bahwa persepsi selebriti digital tidak berpengaruh signifikan terhadap niat belanja live streaming konsumen. Hasil penelitian menunjukan individu dimotivasi oleh gratifikasi hedonis ( Perceived Enjoyment ), utilitarian ( Perceived Utility ), dan sosial ( Social Interaction ), serta Perceived Enjoyment , Perceived Utility dan Social Interaction memediasi hubungan antara Perception of Digital Celebrities dan Live-Stream Shopping Intentions.
Margin Status Predicts Outcome in Patients with Cutaneous Squamous Cell Carcinoma of the Scalp: The Westmead Hospital Experience

Background/Objectives: An involved or close resection margin in the setting of cutaneous SCC (cSCC) is associated with the risk of developing recurrence. The scalp poses unique anatomical challenges when obtaining adequate resection margins and further treatment may be required. We aimed to investigate the risk of recurrence in patients with scalp cSCCs and the role of adjuvant radiotherapy. Methods: Eligible patients with cSCC of the scalp treated with curative intent at Westmead hospital, Sydney, were identified and patient, tumor and treatment factors analyzed. Patients were categorized based on margin status and analyzed in terms of treatment delivered, local recurrence and survival. Results: In total, 114 patients with a median age of 70 years with the majority (81%) male, were identified with a median follow up of 5.6 years. Following surgery, 52 patients (46%) had clear margins, 62 (54%) had close (≤2mm) or involved margins, with a significant difference in the 5-year disease specific mortality of 20% and 35%, respectively (p=0.05). Twenty-eight patients (25%) underwent surgery and adjuvant radiotherapy, most with a close/involved margin. There was no significant difference in the risk of developing local recurrence between the group of patients in whom a clear margin was obtained and the group in whom the margin was close/involved (p=0.23). Conclusion: Margin status had a significant impact on disease specific mortality, but was not associated with the risk of developing local recurrence. The addition of adjuvant radiotherapy in select high-risk patients may improve outcome although this was not demonstrated in our study.
The trends of sustainability in the luxury fashion industry: A Triple Bottom Line analysis

ABSTRACT Fashion is one of the most polluting industries in the world. While many practitioners have already incorporated sustainability as part of their corporate social responsibility initiatives, there is a lack of research on how luxury fashion brands communicate their sustainability commitments and achieve sustainability. In this study, we aim to fill in the knowledge gap by identifying the longitudinal changes in perception, strategy, action, and outcome of sustainability in the luxury fashion industry. We analyze 32 years of digital newspaper articles on Women’s Wear Daily (WWD) to explore sustainability trends based on the Triple Bottom Line (TBL) framework leveraging different content analysis techniques (e.g. topic modeling, sentiment analysis). Our results support the increased awareness and importance of sustainability in the luxury fashion sector over time, provide theoretical implications for applying the TBL framework to the longitudinal dataset, and offer insights to business practitioners on expanding their sustainability efforts in the luxury fashion industry. The outcomes of this study enable managers to make better decisions around the long–term sustainability strategies and futureproof the luxury fashion industry’s sustainability movement.