Miracle-dz/UniFAR-FTUs huggingface dataset:
English - Indonesian Translation Strategies Made By Vocational Students

Translation for the vocational students of the Business English study program could be considered as the fifth language skill that they need to learn in multilingual digital era. Therefore, they have to be able to translate and interpret from English text to the Indonesian text and vice versa in some business applications, such as tourism/ hospitality industry, export import, and customer service. In this paper, the writers used qualitative descriptive research on the case study taken from the Translation classroom. To achieve the purposes of the study, the writer would like to compare the results of the respondents' target translation between translating the source text without and with translation strategies in facilitating their academic learning process. In this survey, the writer found out that most of the participations used Google Translate and translation strategies, such as structural and semantic translation strategies to help them facilitate their translating to produce qualified translation results. Based on the results, the translation strategies were useful for novice translators. The other findings were what factors that influenced their errors in English- Indonesian translation and what translation strategies. The writers also shared some important educational implications of this research
THE EFFECT OF PROFITABILITY, LEVERAGE, COMPANY SIZE AND INDUSTRY TYPE ON SUSTAINABILITY REPORT ASSURANCE

ABSTRACTThis study aims to analyze the effect of profitability, leverage, company size and type of industry on the assurance of sustainability reports in companies listed on the Indonesia Stock Exchange for the period 2017-2019. This research is a quantitative research. The sample selection was carried out using purposive sampling method. The data used is secondary data obtained from the company website and from the IDX website. The data population in this study are all companies listed on the Indonesia Stock Exchange (IDX) in 2017-2019. The sample is 27 companies. The results showed that profitability, leverage and type of industry had no effect while firm size had an effect on the assurance of sustainability reports.Keywords: assurance, leverage, size, sustainabilityABSTRAKPenelitian ini bertujuan untuk menganalisis pengaruh profitabilitas, leverage, ukuran perusahaan dan jenis industri terhadap assurance laporan berkelanjutan pada perusahaan yang terdaftar di Bursa Efek Indonesia (BEI) periode 2017-2019. Penelitian ini merupakan penelitian kuantitatif. Pemilihan sampel dilakukan dengan metode purposive sampling. Data yang digunakan adalah data sekunder yang diperoleh dari website perusahaan dan dari website BEI. Populasi data dalam penelitian ini adalah seluruh perusahaan yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2017-2019. Sampel penelitian adalah 27 perusahaan. Hasil penelitian menunjukkan bahwa profitabilitas, leverage dan jenis industri tidak berpengaruh sedangkan ukuran perusahaan berpengaruh terhadap assurance laporan keberlanjutan.Kata kunci: assurance, keberlanjutan, leverage, ukuran
Marital Satisfaction in Relation to Big Five, Punitiveness, Unrelenting Standard and Self-Compassion

Abstract The current study observed the association between personality traits (extraversion, neuroticism, agreeableness) punitiveness, unrelenting standards, self-compassion and overall marital satisfaction among married people in Turkey, India and UK. The study participants who completed the online the Big Five Inventory, Self-Compassion Scale, Young schema questionnaire-short form; Version 3 and Marriage Satisfaction Scale were comprised of 627 volunteer married people between 15 and 82 years old. In the final block of hierarchical analysis, self-compassionate was the most significant predictor of marital satisfaction among Turkish, Indian and British context. The findings strengthen the role of personality, and schemas for mental health professionals working with couples.
STAP: An Architecture and Design Tool for Automata Processing on Memristor TCAMs

Accelerating finite-state automata benefits several emerging application domains that are built on pattern matching. In-memory architectures, such as the Automata Processor (AP), are efficient to speed them up, at least for outperforming traditional von-Neumann architectures. In spite of the AP’s massive parallelism, current APs suffer from poor memory density, inefficient routing architectures, and limited capabilities. Although these limitations can be lessened by emerging memory technologies, its architecture is still the major source of huge communication demands and lack of scalability. To address these issues, we present STAP, a Scalable TCAM-based architecture for Automata Processing. STAP adopts a reconfigurable array of processing elements, which are based on memristive Ternary CAMs (TCAMs), to efficiently implement Non-deterministic finite automata (NFAs) through proper encoding and mapping methods. The CAD tool for STAP integrates the design flow of automata applications, a specific mapping algorithm, and place and route tools for connecting processing elements by RRAM-based programmable interconnects. Results showed 1.47× higher throughput when processing 16-bit input symbols, and improvements of 3.9× and 25× on state and routing densities over the state-of-the-art AP, while preserving 104 programming cycles.
Batik SMEs In East Java Indonesia: Interrelationship Between Personal Value and Management Skills Towards SMEs Performance in The New Normal Era

The development of Batik SMEs in East Java shows a sector that is highly affected by the pandemic due to the unpreparedness of SMEs to face the pandemic conditions. The need for encouragement from the government and strengthening this sector so that it can develop again and make a positive contribution to the regional and national economy. Managerial aspects and personal values owned by Batik SMEs in East Java are expected to be a reinforcing factor for SMEs in facing a very dynamic environment. The purpose of this study was to determine the relationship between personal values and management skills on the performance of Batik SMEs during the new normal era in East Java, Indonesia. The data used were obtained through a survey using a questionnaire, which was then analyzed by factor analysis, descriptive statistics, Pearson product-moment correlation, and multiple regression. The results of the study stated that there was no relationship between personal values and performance, and there was no relationship between management skills and the performance of Batik SMEs in East Java, Indonesia. This research does not include external factors of the research variables, namely government policies that can be measured by inflation rates and tax policies, as well as Bank Indonesia credit interest rates. This study uses the variable management skills, personal values, and performance of Batik SMEs in East Java during the normal era, which are products with local cultural features.
Optimisation procedure for material parameter identification for masonry constitutive models

Constitutive models for masonry require a number of parameters to define material behaviour with sufficient accuracy. It is a common practice to determine such material parameters from the results of various, relatively simple, small-scale laboratory experiments. However, the effectiveness of determining material parameters that are representative of masonry from small-scale experiments have found to be problematic. This paper investigates the material parameter identification problem for masonry constitutive models. The methodology is based on an inverse analysis containing an optimisation procedure and surrogate modelling. The general framework of the non-linear estimate methodology and the parameter identification problems are discussed.
Listener Detection of Objectively Validated Acoustic Features of Speech in Huntington's Disease.

BACKGROUND Subtle progressive changes in speech motor function and cognition begin prior to diagnosis of Huntington's disease (HD). OBJECTIVE To determine the nature of listener-rated speech differences in premanifest and early-stage HD (i.e., PreHD and EarlyHD), compared to neurologically healthy controls. METHODS We administered a speech battery to 60 adults (16 people with PreHD, 14 with EarlyHD, and 30 neurologically healthy controls), and conducted a cognitive test of processing speed/visual attention, the Symbol Digit Modalities Test (SDMT) on participants with HD. Voice recordings were rated by expert listeners and analyzed for acoustic and perceptual speech features. RESULTS Listeners perceived subtle differences in the speech of PreHD compared to controls, including abnormal pitch level and speech rate, reduced loudness and loudness inflection, altered voice quality, hypernasality, imprecise articulation, and reduced naturalness of speech. Listeners detected abnormal speech rate in PreHD compared to healthy speakers on a reading task, which correlated with slower speech rate from acoustic analysis and a lower cognitive performance score. In early-stage HD, continuous speech was characterized by longer pauses, a higher proportion of silence, and slower rate. CONCLUSION Differences in speech and voice acoustic features are detectable in PreHD by expert listeners and align with some acoustically-derived objective speech measures. Slower speech rate in PreHD suggests altered oral motor control and/or subtle cognitive deficits that begin prior to diagnosis. Speakers with EarlyHD exhibited more silences compared to the PreHD and control groups, raising the likelihood of a link between speech and cognition that is not yet well characterized in HD.
Digital Twins, Virtual Devices, and Augmentations for Self-Organising Cyber-Physical Collectives

The engineering of large-scale cyber-physical systems (CPS) increasingly relies on principles from self-organisation and collective computing, enabling these systems to cooperate and adapt in dynamic environments. CPS engineering also often leverages digital twins that provide synchronised logical counterparts of physical entities. In contrast, sensor networks rely on the different but related concept of virtual device that provides an abstraction of a group of sensors. In this work, we study how such concepts can contribute to the engineering of self-organising CPSs. To that end, we analyse the concepts and devise modelling constructs, distinguishing between identity correspondence and execution relationships. Based on this analysis, we then contribute to the novel concept of “collective digital twin” (CDT) that captures the logical counterpart of a collection of physical devices. A CDT can also be “augmented” with purely virtual devices, which may be exploited to steer the self-organisation process of the CDT and its physical counterpart. We underpin the novel concept with experiments in the context of the pulverisation framework of aggregate computing, showing how augmented CDTs provide a holistic, modular, and cyber-physically integrated system view that can foster the engineering of self-organising CPSs.
Describing changes in student thinking about evolution in response to instruction: the case of a group of Chilean ninth-grade students

ABSTRACT Although much research exists of students’ alternative conceptions about evolution and natural selection, the way in which these vary in time and how scientific explanations change during instruction remains to be described and understood. Therefore, the main objective of this research is to characterise the nature of the change in student thinking about evolution through the mechanism of natural selection during a six-lesson intervention with a group of ninth-grade students (14–15 years old) from a private subsidised school in Chile. The study group included thirteen students to whom a pre- and post-test was applied using the questionnaire Assessment of Contextual Reasoning about Natural Selection (ACORNS), and from whom short tasks were collected at the end of three lessons. The data were analysed using a quantitative and qualitative analysis of nine students grouped in five cases of study. The main patterns described here are the recurrence of the design teleology thinking in students, the initial use of key concepts such as mutation, survival, and differential reproduction during the trajectories, the abundance of mixed thinking during and at the end of the instruction, and the low coherence in the structure of thinking, both in time and through the different contexts analysed.
A Hybrid Similarity Measure for Dynamic Service Discovery and Composition based on Mobile Agents

With the ever-present competition among companies, the prevalence of web services (WSs) is increasing dramatically. This leads to the diversity of the similar services and their developed nature, which makes the discovery of a relevant service during the composition phase a complex task. Since most of the competition companies aim to discover highquality services with minimum charges in order to increase the number of customers and their profit. The semantic WSs allow performing dynamic service discovery through the entities software and intelligent agents. However, the solutions provided to the discovery process are limited to their performance in terms of the quickness to respond to the request in real-time, without considering the constraints such as the accuracy in the discovery phase and the quality of the similarity mechanism evaluation. They usually are based on the similarity measure of distance between concepts in the ontology instead of taking into consideration the relationships semantically and the strength of the semantic relationship between concepts in the context. In this paper, we proposed a novel hybrid semantic similarity method to improve the service discovery process. The hybrid method is applied to an architecture based on mobile agents, where cooperative agents are integrated to facilitate and speed up the discovery process. In the first hybrid method, we defined the Latent Semantic Analysis (LSA) with a semantic relatedness measure to avoid the ambiguity of the terms and obtain a purely semantic relatedness at level of the service description. The second one is defined to analyze the relationships at the level of the I/O service based on the subsumption reasoning, called IOMATCHING. Experimental results on a real data set demonstrate that our solution outperforms the state-of-the-art approaches in terms of precision, recall, F-measure, and consumed time of the service discovery. Keywords—IO-MATCHING; latent semantic analysis; mobile agents; OWL-S; semantic web services; semantic similarity; semantic relatedness
Classification of Gaps at Uncontrolled Intersections and Midblock Crossings Using Support Vector Machines

Gap acceptance predictions provide very important inputs for performance evaluation and safety analysis of uncontrolled intersections and pedestrian midblock crossings. The focus of this paper is on the application of support vector machines (SVMs) in understanding and classifying gaps at these facilities. The SVMs are supervised learning techniques originating from statistical learning theory and are widely used for classification and regression. In this paper, the feasibility of the SVM in analyzing gap acceptance is examined by comparing its results with existing statistical methods. To accomplish that objective, SVM and binary logit models (BLMs) were developed and compared by using data collected at three types of uncontrolled intersections. SVM performance was found to be comparable with that of the BLM in all cases and better in a few. Also, the categorical statistics and skill scores used for validating gap acceptance data revealed that the SVM performed reasonably well. Thus, the SVM technique can be used to classify and predict accepted and rejected gap values according to speed and distance of oncoming vehicles. This technique can be used in advance safety warning systems for vehicles and pedestrians waiting to cross major stream vehicles.
Performance evaluation of a rotary dryer in both co-current and counter-current configurations

A mathematical model was developed to simulate the process of superphosphates fertilizers drying in a rotary dryer in both co-current and counter-current configurations. Besides, the performance of the rotary dryer, installed in a local industrial unit, was assessed using the concept of energy and exergy analysis. Matlab software was used to develop the mathematical model, which is based mainly on mass and energy conservation equations. Good agreement between the simulated results and the experimental results from literature was obtained. The simulation results showed that the product’s moisture content was reduced from an initial value of 0,14 kgH2O / kg dry solid to 0.0912 and 0.0862 kgH2O / kg dry solid at the dryer’s outlet for the co-current and the counter-current configurations, respectively. A parametric study was carried out to evaluate the effect of the length of the dryer and the inlet drying air temperature on the moisture content to compare both configurations. Energetic and exergetic indicators were formulated and then computed based on the inlet operating conditions. The energy efficiency and the specific energy consumption for the co-current and the counter-current configurations were, respectively, found to be 13% and 24% and 5762 and 3502 kJ per kg of water evaporated. The exergy indicators, namely the exergy loss, the exergy destruction rate, and the exergetic efficiency, were 11.37 and 17.82 kW, 1.026 and 1.098 kW, 25.86 and 41.38% for the co-current and the counter-current configuration, respectively. A sensitivity analysis was used to investigate the effect of varying the inlet drying air temperature on energetic and exergetic performance parameters. Cite this article as: Asmae E, Mostafa M. Performance evaluation of a rotary dryer in both co-current and counter-current configurations. J Ther Eng 2021;7(Supp 14):1945–1957. Journal of Thermal Engineering Web page info: https://jten.yildiz. edu.tr DOI: 10.18186/thermal.1051277
Seven-Month Analysis of Five SARS-CoV-2 Antibody Assay Results after ChAdOx1 nCoV-19 Vaccination: Significant Decrease in SARS-CoV-2 Antibody Titer

We investigated the longevity rates of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) after a complete ChAdOx1 nCoV-19 vaccination, which are rare and important to estimate their efficacy and establish a vaccination strategy. We assessed the positivity rates and changes of titers before (T0) and at one month (T1), four months (T2), and seven months (T3) after a ChAdOx1 nCoV-19 vaccination using five SARS-CoV-2 antibody assays. A total of 874 serum samples were obtained from 228 (T0 and T1), 218 (T2), and 200 (T3) healthcare workers. The positive rates for all five assays were 0.0–0.9% at T0, 66.2–92.5% at T1, 98.2–100.0% at T2, and 66.0–100.0% at T3. The positive rates at T3 were decreased compared to those at T2. The median antibody titers of all the assays at T3 were significantly decreased compared to those at T2 (860.5 to 232.0 U/mL for Roche total, 1041.5 to 325.5 AU/mL for Abbott IgG, 10.9 to 2.3 index for Siemens IgG, 99.5% to 94.7% for SD Biosensor V1, and 88.5% to 38.2% for GenScript). A third-dose scheme can be considered based on our data generated from five representative assays. Our findings contribute insights into SARS-CoV-2 antibody assays and appropriate vaccination strategies.
Impact of Workplace Isolation on Job Satisfaction of Azerbaijan Companies During Covid-19

Coronavirus is a persistent and pandemic threat all over the world, and Azerbaijan is one of the countries that has been hit the worst by this new infection outbreak. Maintaining physical distance is recommended. Azerbaijan has undertaken policies intended at physical separation, including the closure of schools, institutions, and workplaces. Following the government of Azerbaijan's announcement of a state-wide curfew to prevent the spread of infection, some organizations throughout the country opted for distance working. During the Covid 19 outbreak in Azerbaijan, this empirical study seeks to evaluate how workplace isolation affects academic job satisfaction in private sector institutions. The researchers utilized a mixed-methods approach. A self-administered survey and semi-structured interviews were used to collect data. Using a suitable sample methodology, surveys were issued to 100 academics, and semi-structured interviews were performed with 20 of them. Descriptive statistics and all correlation analyses even regression analysis, with thematic observation were used to analyze the data, followed by triangulation. Workplace isolation has a substantial negative association and impact on job satisfaction, according to the findings of the study. Furthermore, both physical and informational isolation have a detrimental influence on job satisfaction, with informational isolation having a greater influence than physical isolation. According to the study's findings, workplace isolation leads to lower job satisfaction in remote locations. Furthermore, the study concluded that employers must provide training options that include improved remote management to meet obstacles.
Relationship between Stress and Academic Performance: An Analysis in Virtual Mode

This research work analyzes the relationship between stress and academic performance of engineering students at the University of Sciences and Humanities, in Peru, in the context of the pandemic. During this period, classes at the university were held virtually; and the difficulties that students present to carry out their classes were identified, such as lack of connectivity, family and financial problems and anxiety. The objective of the research is to analyze the relationship between stress and academic performance of engineering students. The work is part of a mixed approach, and data collection was carried out through interviews and surveys of engineering students based on the two variables identified: stress and academic performance. It began with a descriptive analysis, then moving on to inferential analysis to perform the hypothesis test. The SPSS was used for the reliability analysis using Cronbach’s alpha with 0.84 as a result and validation by expert judgment with 84.5% acceptance. It was obtained as a result that between the Stress variable based on its three dimensions and academic performance there is not relationship since it was obtained that its P-value is greater than 0,05; it is concluded that stress is not only academic but also should consider others as labor, social. In addition, the positive stress that drives academic performance emerged. The beneficiaries with the research are students, and the university. It is concluded that there is no relationship between stress and academic performance. Keywords—Academic performance; anxiety; stress; teachinglearning; virtual mode