Reviewerly/exHarmony huggingface dataset:
The Perception of Mobile Assisted Language Learning by University Students in Batam

We as humans often use language as a bridge to connect and communicate with each other. Globalization has played a role in bridging the gap through languages acknowledged around the globe, one of these that took center stage in becoming a truly global language is the English language. One of the biggest benefactors of a global language is the mobile device. however, mobile devices would be able to play the role of cementing the English language in its importance. Therefore, this research aimed to learn how effectively can the perception of mobile devices be helped in learning the English Language, with the research focusing on higher educational environments such as university students in Batam City. This research was quantitative research using the Technology Acceptance Model and had dependent variables covering attitude towards using, and the behavioral intention of using. A total of 384 Respondent’s data was collected for this research. In the end, the conclusion was that Mobile Assisted Language Learning (MALL) is proven to be effective in affecting those that used it. However, this would not discredit those that didn’t have the intention to learn through a mobile device in the first place or those without a mobile device.
INTEGRATING TOPIC TYPE STRATEGY TO INCREASE VOCATIONAL HIGHER EDUCATION STUDENTS WRITING SKILL

Teaching English in Vocational Higher Education are designed not only to achieve students’ competence in obtaining English for academic matters but also to achieve skilled aspect for preparing learners in the industrial field, especially in writing skill. Thus, effective strategies should be delivered to achieve the goals of gaining students’ competence in writing skills. One of the strategies implemented is topic types which are expected to enhance students writing skills. This study is designed by using the library research method, which claimed that this topic types strategy might encourage students to generate ideas especially to help them in managing ideas before writing.
Compte rendu de A.J. Kox et de H.F. Schatz : «A Living Work of Art : The Life and Science of Hendrik Antoon Lorentz»

Kox (A. J.) - Schatz (H. F.), A Living Work of Art : The Life and Science of Hendrik Antoon Lorentz. – New-York : Oxford University Press, 2021. – 281 p. – 1 vol. broché de 16 × 24 cm. – isbn 978-0-19-887050-0.
ENHANCING ESP STUDENTS WRITING SKILL DURING THE COVID-19 PANDEMIC BY USING INSTAGRAM

The covid 19 pandemic has led the Indonesian government to carry out distant learning. This study aims to give an overview of a potential Instagram platform that can be used in teaching writing for ESP university students during the pandemic. Besides, social media is part of technology advancement to improve students' motivation and the efficacy of learning a language (Nugroho &amp; Rahmawati, 2020). The present study sheds light on the effect of the use of Instagram on ESP students writing ability. The pre-experimental research will be conducted in eight meetings, including the writing pre-test and post-test. The students will be assigned to write a descriptive essay using Instagram as the instructional medium. Moreover, a questionnaire will be given to reveal their perceptions toward the use of Instagram to practice writing. The finding of this study is expected to provide a significant contribution to the realm of English for specific purposes (ESP) teaching in Indonesia.
STUDENTS’ DIFFICULTIES IN LISTENING COMPREHENSION

Abstract This research was conducted to investigate students’ difficulties in listening comprehension and to find out the causes of students’ difficulties in listening comprehension. The design of this research was a case study. In conducting this research, the researcher took class XI IPA 4 of MAN 1 Kolaka as a subject of the research. To collect the data, the researcher used test, questionnaire and interview as instruments. Finally, based on the researcher’s investigation, the level of students’ difficulty in listening comprehension is classified into middle level, they were, student difficult to concentrate with noise sound (98%), to recognize the words the way they were pronounce (88%), to understand spoken text when speaker spoke too fast (83%), unclear sounds resulting from a poor-quality CD player (81%), to listen to English without transcription (80%), to understand well when the speaker spoke with a variety of accents (80%). Some causes of students’ difficulties in listening comprehension were noisy situations in class and environment, students could not match the sounds they heard with any script in their long-term memory, students limited short-term memory, text/passage was recorded while there were noises around or the cassette was used for such a long time, students have limited vocabulary, and unfamiliar accent. Keyword: Analysis, Difficulties in Listening Comprehension, Listening Comprehension.
THE STUDY OF TRANSLATION TECHNIQUE ON MANUAL INSTRUCTION OF ELECTRONIC DEVICES

This study was aimed to analyze translation technique on manual instruction of electronic devices at PT. Philips. The objectives of this study are the first to find out the most dominant of the translation techniques used in translation techniques of manual instruction book ‘Philips’ electronic iron. The second is to identify the translation techniques used in in translation techniques of manual instruction book ‘Philips’ electronic iron in case English to Indonesian language. This study applied descriptive qualitative approach in analyzing of the data obtained. The data based on the text of the instruction manual on the Philip electronic devices. The findings of this study showed that there are 120 data consist of 8 words, 55 phrases and 57 sentences on the manual instruction of Philips electronic iron especially translation in English to Bahasa Indonesia. The techniques Calque was mostly applied in translation with 25 frequencies (18.33%), then the second position is Borrowing with 22 frequencies (18.33%), then third is Establish Equivalent with 16 frequencies (13.33%), the fourth is Particularization with 13 frequencies (10.83%), the next is Literal with 10 frequencies (8.33%), the next is Adaptation with 9 frequencies (7.50%), then the next is Discursive Creation with 9 frequencies (7.50%), Amplification with 7 frequencies (5.83%), Transposition with 4 frequencies (3.33%), Generalization with 4 frequencies (3.33%) and the last is Reduction with 1 frequency (0.83%).. This study could be concluded that the translator tended to translate foreign words or phrases more lexically and structurally rather than other techniques
Information-computer forensic models of computer crimes as the elements of forensic techniques (using the example of “cyber blackmail”)

Traditionally, one of the key components of any methodology is the forensic character of the type of crime, often considered as a typical information model. The basis of this definition is, in our opinion, the need to model this type of crime by generalizing based on the study of large arrays of criminal cases, information about the criminally significant signs of the type of crime, and their natural connections. In the era of digitalization, new opportunities are opening up for the study and generalization of large arrays of forensically significant information using BigData technology. The use of information computer technologies in criminal activities makes it possible to commit different crimes (crimes against the person in economics, economic activities, public security and others) using the same methods. Therefore, the traditional unification of information models by types of crimes does not give necessary results. The article deals with the problems of formation and application of the foundations of a new doctrine of information-computer forensic models of computer crimes as part of the theory of information and computer support of the forensic activity. The subject of this teaching is the general laws for building information-computer models of computer crimes based on correlation ties. These are the ties of combinations of IT technologies and computer systems for implementing various methods of computer crimes, regardless of their type, with a traced picture as digital traces and with competencies in information computer technologies of the criminal and the injured party. The object of the study is forensically significant computer information about the used combinations of IT technologies and computer tools and systems. This is information about various methods of computer crimes, digital traces, including traces of the impact of ransomware, counterfeit information and computer products, characteristics of criminals and victims from the point of view of the degree of their proficiency in IT technologies. Information-computer models of computer crimes in the generalization of large arrays of information can serve as one of the key elements of private forensic methods of investigation. This approach is considered on the example of the investigation of extortion using the Internet - “cyber blackmail”. Options of “cyber blackmail” of individuals and organizations are considered and information and computer models are built for them. The authors determine the features of correlation of methods of crimes, the used computer tools and systems, objects of encroachment with the competencies of criminals (organized criminal groups) and victims in IT technologies.
Pendampingan Pelatihan Software Akuntansi Accurate dalam Membantu Guru &amp; Siswa-Siswi Smk untuk Meningkatkan Kompetensi dan Profesionalisme

Purpose: The purpose of this service activity is to equip and assist vocational teachers and students in understanding and being able to operate various features in accurate accounting software related to accounting transactions which are expected to improve the skills of using accounting software for teachers and students. Method: The training method includes an introduction session on accurate accounting software, simulation of the use of accurate accounting software, discussion of journals and financial reports accompanied by questions and answers by vocational teachers and students. Results: Accurate accounting software training went well and smoothly even though it was carried out online, but the enthusiasm of the participants was still intertwined with the many questions asked to the trainers. Conclusions: With this training, it is hoped that it will improve the competence and professionalism of vocational teachers and students in using accurate accounting software which is widely used in companies in Indonesia to produce accounting information that is useful in decision making.
Comprehension of Pictures

Pictures are two-dimensional depictive representations. They include static pictures and animations. The latter are defined as pictorial displays that change their structure or other features over time and trigger perception of a continuous change. Static and animated pictures can display static as well as dynamic content. Both can have an envisioning, explanatory, orientation, organizing, and argumentative function. Picture comprehension entails sub-semantic perceptual processing, semantic perceptual processing, and conceptual processing. Sub-semantic perceptual processing is primarily pre-attentive and data-driven. It results in viewer-cantered and object-cantered visual representations. Semantic perceptual processing is attentive and data- as well as knowledge-driven. It results in object or event recognition. Conceptual processing is attentive and primarily knowledge-driven. It creates complex propositional structures and mental models in working memory. Picture comprehension is based on analog structure mapping under the guidance of perceptual and conceptual representations.
Beyond Comprehension

Comprehension can be the starting point for further cognitive activities such as thinking and problem-solving. Productive thinking requires a specific interaction between descriptive and depictive representations combining representational power and inferential power. The interaction takes place through processes of mental model construction and model inspection. Descriptive representations are combined and coordinated with the corresponding depictive representations, whereby each representation constrains the construction and usage of the other representation. Model inspection requires systematic and exhaustive interrogation of depictive representations in order to read off relevant information. Depictive representations have to grasp task-relevant structures and facilitate performance of the required procedures. Required operations should not be difficult to perform and the sequences of operations should be relatively short. Inappropriate perceptual structures of visualizations can obscure relevant structural attributes, preventing the application of correct procedures and stimulating the application of incorrect procedures.
Efficacy of concordance on the acquisition of polysemous words

Acquisition of polysemous words is a prevalent and difficult process. This study aims to investigate the effectiveness of concordance on the acquisition of polysemous words, compared with the traditional teaching method. Participants were 127 Chinese EFL learners in senior high school. They were randomly assigned into Experimental Group (EG) to be treated with paper-based corpus and Comparison Group (CG) to be instructed with the traditional method. The test instrument and teaching material was developed based on Corpus Concordance English. Acceptability judgement was used to test learners’ performance. Data was analyzed according to independent- and paired- sample t-test via SPSS (version 20.0). Results from independent sample t-test of posttest scores of both groups indicated that concordance and traditional teaching method was equally effective in terms of polysemous words learning. However, paired sample t-test of pre- and post-test scores of each group suggested when compared with the traditional method, concordance is more efficient to fulfil greater enhancement. Therefore, this study provides empirical evidence of the positive impact of concordance on the acquisition of polysemous words. Limitations and implications were discussed.
Multiple Data Fusion Methods Improved the Prediction of Soil Heavy Metals with Pxrf and Vnir

Detecting heavy metals using proximal soil sensors is increasingly important as soil pollution is a global environmental problem. Researchers commonly use portable X-ray fluorescence (PXRF) and visible-near infrared (VNIR) sensors in polluted areas. However, a single sensor tends to perform poorly in soil with low heavy metal content， while sensor data fusion might provide robust perfomance.This study collected the PXRF and VNIR spectra of 273 soil samples from cultivated land in Lishu County, Northeast China. We investigated multiple data fusion methods to integrate PXRF and VNIR spectra to improve the estimation of five heavy metals in soil, combining machine learning models. The data-level fusion directly combined PXRF and VNIR; the feature-level fusion integrated the feature bands of PXRF and VNIR selected by the Boruta algorithm; the decision-level fusion involved outer product analysis fusion (OPA), OPA fusion based on feature bands (Boruta-OPA) and Granger-Ramanathan averaging (GRA). The results showed that PXRF and VNIR provided successful estimations of the Cr, Pb, As with residual prediction deviation (RPD) > 1.4. The extent to which the three data fusion techniques improved the prediction of heavy metals were ranked as decision-level > feature-level > data-level. Cr and As were best estimated in Boruta-OPA fusion with RPD = 1.99, 1.90, concordance correlation coefficient (CCC) = 0.85,0.85, and root mean square error (RMSE) = 7.93, 1.39 mg/kg, respectively. Pb was best predicted in the feature-level fusion with RPD = 1.90, CCC = 0.84, and RMSE = 2.76 mg/kg. The Cd and Hg concentrations could not be estimated due to very low content (RPD < 1.4). We recommend the Boruta-OPA as a universally effective spectral fusion method for soil heavy metals estimation.
Promoting Expert Knowledge for Comprehensive Human Risk Management in Industrial Environments

This research develops a methodological approach aimed at promoting expert knowledge and, as a consequence, exploiting the strength of practical experience in industry in a scientifically rigorous way. In particular, we make use of Fuzzy Cognitive Maps (FCMs) to organise in a flexible way human knowledge about decision-making problems focused on the topic of human risks management. FCMs enable the representation of causal relations among relevant decision-making elements on the basis of spontaneous human brainstorming stimulated from a single expert or a decision-making team. After leading a comprehensive literature review, aimed at identifying industrial human risks in the most exhaustive way, a FCM will be built to define relations among risks. Specifically, the calculation of the total effect will be supported by means of the use of the Nonlinear Hebbian Learning (NHL) algorithm, something that will be useful to make the approach even more reliable. Risks will be later prioritised by means of a modified Failure Modes, Effects and Criticality Analysis (FMECA): the total effect previously calculated will be considered as an additional criterion for risk prioritisation, apart from the ones traditionally considered by FMECA. Moreover, an alternative calculation way for the Risk Priority Number (RPN) will be proposed: the Multi-Criteria Decision-Making (MCDM) approach making use of the TODIM (an acronym in Portuguese standing for interactive and multi-criteria decision-making) method under Z-environment will be used to perform the final ranking. This technique is indeed useful to deal with the psychological behaviours of decision-makers. A real case study is eventually implemented to provide useful implications for risk management.
A Novel Approach for Breast Cancer Detection and Classification with Transfer Learning

Bosom malignant growth is a deadly infection that is liable for the passing of ladies everywhere. Bosom Malignant growth is recognized as the main worry for ladies deaths. There are different sorts of bosom disease. The proposed model talked about harmless and dangerous bosom disease. In PC supported analysis frameworks, the distinguishing proof and arrangement of bosom malignant growth utilizing histopathology and ultrasound pictures are basic advances. Deep learning (DL), machine learning (ML), and transfer learning (TL) strategies are utilized to address numerous clinical issues. The proposed approach is made to assist with the programmed recognizable proof and determination of bosom malignant growth. Our principal commitment is that the proposed model utilized the transfer learning strategy. The model utilized in this work is a tweaked CNN-AlexNet, which was prepared by the prerequisites of the datasets. This is likewise one of the commitments of this work.
Supporting Physical Activity in Later Life: Perspectives From Older Adults

The older population, especially those living alone, is less likely to meet recommended physical activity levels than other age groups and deserves more attention in this era of population ageing. However, existing technologies for supporting physical activity have been generally poorly aligned with the needs of older adults. Reasons for such problem are manifold, including the lack of involving older adults in design and evaluation, prevalent technology-driven perspectives, and the complexity of designing behavior change technology. Therefore, this research project aims to investigate how to better design behavior change technology to support the needs of older adults living alone for physical activity, which will address four main aspects: meeting user needs, investigating the rationale of technology design, improving co-design practice, and evaluating designed technology. To this end, this project will employ a human-centered iterative design methodology and actively involve the target group in the design process to let their voices heard and incorporated in design. This research will not only contribute to a deeper understanding towards the needs and preferences of this insufficiently studied group, but also identify implications for improving co-design practices as well as design opportunities for future behavior change technology.
MULTIDIMENSIONAL PEDAGOGY: SUBJECTIVE VIEW

Multidimensional pedagogy of the educational space is defined as a set of provisions that reveal the essence of manifesting human realities at various levels of being. Conventionally, they are divided into levels of manifesting the realities of elementary dimensions, that is, the supremacy of material values (initial, passive, adaptive and moderate) and productive dimensions, that is, the supremacy of spiritual values (optimal, productive, constructive, creative). People’s creation and manifestation of their realities at the designated levels is possible horizontally and vertically.
Sensor Cloud Data Privacy Protection Model Based on Collaborative Deep Learning

The sensor cloud system includes three parts: sensor network, edge computing platform and cloud processing, which is helpful for data collection, processing, storage and sharing. But during the process of data training in the cloud, there may be malicious attacks, leading to data leakage. Traditional intrusion detection technologies are powerless against new security vulnerabilities and network attacks, and they cannot formulate effective defense strategies. The main objective of this study is to propose an improved privacy protection model for sensor cloud data based on collaborative deep learning. According to the research strategy of GAN attack model, this model sets buried points in the convolutional neural network model and combines different learning rates to eliminate the GAN attack. First of all, this paper collects sensor data and obtains the data set of the model experiment. Secondly, this paper studies the architecture of collaborative deep learning and the architecture of GAN model. Finally, by setting different learning rates, the loss values of different learning rate models are studied to verify the feasibility of the improved model.
Approaches for Zero Trust Adoption Based upon Organization Security Level

The “Trust but Verify” principle, which majority of enterprises follow, would need to be revamped. It is agreed that the problems resulting from the “Trust but Verify” principle can be addressed using the Zero Trust principles alongside a risk-driven enterprise security approach. Despite the importance and increasing popularity of Zero Trust, it is still not widely adopted by many organizations. This is because adopting and enforcing the principles and mechanisms behind Zero Trust are unclear. The majority of the work done in this space is industrial and usually customized and scoped to address specific enterprise business requirements. We believe Zero Trust adoption must not be homogeneous across all types of organization, neither it should be scoped to component level. The adoption should rather get processed within an enterprise security architecture framework and should consider the security maturity of an organization. In this paper, we do not cover the mechanisms for implementing Zero Trust; but rather propose, based on our practical experience, the different possible classifications of organization security maturity and the various approaches for Zero Trust Adoption. We then map the proposed approach of Adopting Zero Trust to the classified organizations.