Reviewerly/exHarmony huggingface dataset:
TEACHING TO READ TECHNICAL TEXTS IN THE SPECIALTY IN ENGLISH THROUGH A PERSONALITY-ORIENTED APPROACH AS A NECESSARY ELEMENT OF MASTERING A FOREIGN LANGUAGE IN TECHNICAL HIGHER EDUCATIONAL INSTITUTIONS

Scientific research is devoted to one of the most significant elements of mastering a foreign language in the technical higher educational institutionsteaching reading texts in English in the specialty using a personality-oriented approach.The article focuses on the personality of a student as a higher educational applicant in higher educational institutions of non-linguistic specialties.The importance and necessity of focusing on the needs of applicants for higher education of technical higher educational institutions to master a foreign language through the prism of their future specialty is emphasized.It is shown that the personality-oriented approach is a methodological orientation of teachers of higher educational institutions, which, based on a system of interrelated concepts, ideas and methods of action, supports and ensures the processes of self-knowledge, self-improvement and self-realization of the personality of a higher educational applicant as a future specialist of the chosen specialty.It is important to realize that the most significant task of higher education in Ukraine is to prepare a professional graduate who is confident in his abilities, capable of critical thinking, innovation and self-education, to set and solve problems.The connection between the formation of such speech competence as reading and understanding unadapted technical texts in a foreign language and obtaining professional knowledge and skills is emphasized.The higher educational applicant is characterized as a reader of foreign literature in the specialty.The criteria for selecting texts for reading in foreign language classes in technical higher educational institutions are given.Attention is focused on the importance of combining technical texts for studying in foreign language classes into thematic cycles.The necessity of
The Motivation Analysis of Jennie’s Dream as Seen in Janet Quin-Harkin’s California Girl

This study deals with Janet Quin-Harkin’s novel entitles “California Girl”. It was aimed to see the main character’s motivation in achieving her dream. It’s a qualitative study which employed psychological approaches. The primary data were in the forms of written expressions found in the narrations, dialogues, sentences and paragraphs in the novel showing the character’s behaviour and motivation in pursuing her dream. Data analysis applied procedures, namely data collection, data reduction, data serving, and drawing conclusion. To validate, data sources triangulation was used. The researcher read some related theories through books and articles. The study concluded that: First, Janet portrayed Jennie as a girl who was tall and skinny for her age with short mid-brown hair. She didn’t have a good physical outlook. She was introvert; and, therefore she had problem with social relationship. She was emotionally unstable and worried about losing her chance to make the Olympic team. Second, Jennie achieved her dream by trying to fulfil her fundamental needs for priorities. She ate enough food for her physical calories. After that, she fulfilled her psychological needs. She found love in Mark and never let him down. She also wanted to be accepted by her mother. Besides, swimming was her chosen sport to show that she was worth appreciating. Keywords: Analysis, motivation, dream
Interactive Chatbot for Customer Service with Voice Recognition

This study aimed to develop an Interactive Chatbot for Customer Service with Voice Recognition for St. Paul University Philippines students, employees, parents, visitors, and stakeholders.It aimed to provide real time answers to inquiries from the concerned participants.The researchers employed a qualitative approach using descriptive research design and systems development in collecting, analyzing the data and the design and development of the system.The researchers conclude that the chatbot is a real time mobile application for the university that provides frequently asked questions to all Paulinian users anytime and anywhere.Moreover, it will also provide opportunity to have access to the appointed Head of Marketing and Promotions during office hours.
An Improved Hybrid Fuzzy-PID Tunning With Particle Sawrm Optimization For Enhancing Induction Motor Performance

The fuzzy logic controllers are estimated as an appropriate controller because it is minimally complex method and did not involve any of the mathematical models. The major concern of this study is to control the fluctuations in speed of the induction motor through improving the conventional mechanism by utilizing the ANFIS paradigm as controller. Therefore a new mechanism is to be projected that will execute ANFIS. Because of the merits like Adaptive learning, Self-Organization, Real Time Operation, Fault Tolerance through Redundant Information Coding etc. The ANFIS algorithm is utilized as a speed control in the proposed work. It is expected that the hybridization of ANFIS and PID controller can be useful in order to achieve the stability. An optimization technique is also utilized in this study. The values of PID controller can be adjusted by an optimization technique that can be a PSO (Partial Swarm optimization) technique which is required to optimize the values of PID controller in order to choose the best values of P, I and D. In this way, the best output results of the proposed work can be attained.
Rainfall Fluctuation and Its Effect on Drought phenomenon in Khanaqeen District

This research deals with an important aspect of rainfall in the Khanaqeen District, which is the (Rainfall Fluctuation), It is expressed as a percentage according to (Coefficient of Variation), the researchers concluded that the rainfall fluctuation is typical merit of climate in the study area, generally, the annual fluctuation ratio of rainfall for the studied period (1969-1970) to (2012-2013) is about (32.5%), but the rates of rainfall fluctuations difference during the four climatic cycles and the seasons. In autumn the highest seasonal fluctuations were recorded, especially in September which the ratio was not less than (300%), and the lowest ratio was recorded in winter.&#x0D; This fluctuation leads to the creation of many rainfall models in the area, in which (dry model) in (1999-2000) and (2007-2008), and (humid model) in (1984-1985) regarded as (extreme models), as a result, this fluctuation had obvious effects on the physical environments of the studied area especially the drought phenomenon, which the amount of water surpluses and deficit were changed with a change of the annual amount of rainfall, as well as the climate condition was between the (semi-humid) and (semi-dry) based on De Martonne's law for four climatic cycles, either hydrological drought has intensified, the amount of surface water (water imports to Sirwan river) and ground water (water leakage) was changed from a cycle to another, in the humid model (1984-1985) the amount of leaked water was (697.5 million m3), but in the dry model (2007-2008) it was (122.3 million m3), also the area of Hamrin lake was decreased of about (46%) in the fourth cycle compared with the second cycle.&#x0D;
From traditional games to robotic games: ethical issues with elders

This paper presents and discusses ethical issues related with the interaction of elderly people with robots while playing cognitive games.Four games were developed from classical nursing homes cognitive games, to incrementally increase its difficulty.The last one does include interaction with a robot.Several ethical issues were tackled to obtain a proper system with robots: those ethical issues were raised during the design phase and the interaction with the elders.As example of ethical issues tackled: beneficience -do not harm, and the deception and infantilisation of elderly.The games are based in objects with different shapes and colours to be positioned by the elder in pre-defined positions of a 3x3 arena, on the floor.The system then interacts with the elder given him/her the respective score, after performing image processing techniques to the image of the arena.The game with the robot consists to knock down objects in the arena, by pushing them outside the area using a car-like tele-operated robot, by the elders.The system was validated in two nursing homes, by performing experiments in the last months, and it is ethically proper.
Detection of RUNX1-RUNX1T1 Fusion Gene in AML Patients by FISH Technique in Iraq

Background: AML with t(8;21)(q22;q22.1) is a balanced translocation that results in the fusion of RUNX1 and RUNX1T1. The translocation product is located on derivative chromosome 8. It has characteristic morphologic and immunophenotypic features and is linked with good prognosis. t(8;21)(q22;q22.1) AML is diagnostic of AML regardless of blast count. Objectives: To detect the RUNX1-RUNX1T1 fusion gene) in patients with AML by FISH technique and to investigate the relation between this chromosomal abnormality and the immunophenotypic markers CD117, cMPO, CD34, CD13, CD64 and CD33, clinical features and haematological parameters (Hb, WBC, blast percentage and platelets). Materials ad Methods: Fifty patients with de novo AML were selected sequentially from Baghdad teaching hospital in medical city from June 2020 till April 2021. History was taken and data were collected for each patient using a questionnaire form that included: name, age, sex, symptoms and physical signs. The data of haematological parameters and CD markers expression were collected from the patients’ diagnostic reports. Results:The RUNX1/RUNX1T1 fusion gene expression was positive in 4 patients representing 8% whereas 46 patients representing 92% of the samples had negative gene expression. Among the 4 positive AML patients for RUNX1/RUNX1T1 fusion gene expression, M2FAB subtype was revealed in all the cases. All the positive cases expressed CD117 and CD34 markers, while it was noted that 3 out of 4 positive cases were having cMPO and CD13 markers and one positive case expressed CD33 and CD64. Conclusion: It’s shown that RUNX1-RUNX1T1 fusion gene frequency in AML Iraqi patients is similar to international reports.
Offline Signature Recognition via Convolutional Neural Network and Multiple Classifiers

One of the most important processes used by companies to safeguard the security of information and prevent it from unauthorized access or penetration is the signature process. As businesses and individuals move into the digital age, a computerized system that can discern between genuine and faked signatures is crucial for protecting people's authorization and determining what permissions they have. In this paper, we used Pre-Trained CNN for extracts features from genuine and forged signatures, and three widely used classification algorithms, SVM (Support Vector Machine), NB (Naive Bayes) and KNN (k-nearest neighbors), these algorithms are compared to calculate the run time, classification error, classification loss, and accuracy for test-set consist of signature images (genuine and forgery). Three classifiers have been applied using (UTSig) dataset; where run time, classification error, classification loss and accuracy were calculated for each classifier in the verification phase, the results showed that the SVM and KNN got the best accuracy (76.21), while the SVM got the best run time (0.13) result among other classifiers, therefore the SVM classifier got the best result among the other classifiers in terms of our measures.
Comparison of Predictive Modelling Methods in Classification Problems

Predictive modelling in data science is a growing area.Historical data are used to develop predictive models.Predictive models can help to manage the resources efficiently.Classical statistical modelling technique 'Binary Logistic Regression' is primarily used to develop predictive models when the response variable is binary.Binary logistic regression models, the probability of success conditioning on the set of factors/independent variables and is one of the most preferred methods used in Classification Problem.Other methods such as the Naïve Bayes classifier and Random Forest are being used as an alternative to Binary Logistic Regression.This paper compares binary logistic regression, Naïve Bayes method and Random Forest method.All these methods were performed on the open data sets.These methods were compared using the AUC, area under the ROC curve (Receiver Operating Characteristic curve) obtained on the validation dataset called, the test data.ROC curve plots sensitivity vs. 1-specificity for various probability cut-offs.Independent variables were selected using the domain expertise and the same set of variables was used in all the methods.Although Binary Logistic Regression remains the most preferred modelling technique, other methods may outperform in specific cases.It is advisable to check the performance of other modelling techniques before the model is implemented.
Path Planning Algorithm Based on Teaching-Learning-Based-Optimization for an Autonomous Vehicle

This study provides a teaching-learning-based optimization (TLBO) path planning method for an autonomous vehicle in a cluttered environment, which takes into account path smoothness and the possibility of collision with nearby obstacles.The path planning problem is tackled as a multiobjective optimization in order to plan an efficient path that allows the vehicle to travel autonomously in crowded settings.The TLBO algorithm is used to find the ideal path, with the goals of finding the shortest path to the target site and maximizing path smoothness, while avoiding obstacles and taking into account the vehicle's dynamic and algebraic properties.
Relationship between information processing styles and information seeking behavior, with information anxiety as a moderator variable

Objectives.This study examined the relationship between information processing styles and information seeking, and its moderation by information anxiety.Analytical information processing and intuitive information processing are the two types of information processing styles examined.Information seeking was measured by the number of additional pieces of information sought by participants.Methods.Questionnaires were distributed to postgraduate students of IAU Ahvaz University, Iran, selected using stratified sampling based on educational subgroups including basic science, agricultural science, engineering, and humanities.370 valid responses were collected and analyzed.Results.From the correlation analysis, analytical information processing style (r= 0.53), intuitive information processing style (r=0.44), and anxiety (r=0.51) were all found to have a moderately strong impact on information seeking behavior, significant at the 0.01 level.Linear regression models were developed with information seeking behavior as dependent variable.A significant interaction between anxiety and analytical information processing style was found.Contributions.The multiple linear regression results indicate that analytical information processing style and anxiety are significant predictors of students' information-seeking behavior.Moreover, anxiety moderates the effect of the analytical style in that high anxiety reduces the effect of the analytical style.
THE ROLE OF PARTICIPATION, INNOVATION CAPABILITY AND MEMBER'S TRUST IN COOPERATIVE PERFORMANCE, WITH MEDIATION OF COOPERATIVE MEMBERS' COMMITMENTS (STUDY ON COOPERATIVE BOARDING BOARDS IN MATARAM CITY IN 2020)

This study aims to determine the effect of the role of member participation, ability to innovate, and member trust on cooperative performance mediated by member commitment. The study was conducted at three cooperative boarding schools in the city of Mataram. The method used in this research is a survey method with path analysis. The population in this study were 257 members of the cooperative with a sample of 157 people. Sampling was carried out using the slovin formula. The research instrument is in the form of closed questions on all research variables with 5 alternative answers following the linkert scale. Based on the results of the study, it was concluded that there was an influence of the ability to innovate, and the trust of members on the performance of the cooperative, either directly or mediated by the commitment of members with a value of Sig &lt; 0.05 . Meanwhile, member participation has no effect on cooperative performance, either directly or mediated by member commitment.
SPEECH RECOGNITION USING SOFT COMPUTING

The work of speech affirmation is one of the entrancing field with respect to speech signal taking care of. Achieving accuracy and strength is a very problematic limit to various regular components. Reformist work and reviews in the speech recognition application has been gotten using Soft Computing, as one of the system to further develop the affirmation exactness’s. This research paper reviews the various thoughts of Soft Computing procedure and its applications to speech signal taking care of an area. Since the possibility of speech signal is questionable, it doesn't deal with consistency at immaculate stretches. To deal with this irregularity and weaknesses, various researchers have proposed soft computing is one of the better technique to separate the speech signals. This research paper presents the composing work open related to speech recognition using Soft computing methodology.
IMPLEMENTASI MODEL PROTOTIPE DALAM PEMBUATAN SISTEM INFORMASI PENJUALAN SPAREPART

The prototype model is a model that can be used to design and create information systems, where this model is a rapid development and testing of a working model (prototype) of a new information system through a process of interaction and repetition, there are several stages in the first prototype model. listening to customers, building and refining mockups and viewing and testing mockups. In this paper, the information system that will be built using a prototype model is an information system for the sale of spare parts on the PD. Varia Motor. Where based on observations and interviews with ordering the purchase of spare parts still using conventional methods and causing several problems such as a long time in service to customers, by utilizing a prototype model we can create an information system that can solve these problems, and can improve spare parts sales services at PD. Varia motor
Retraction: Automatic Sensor Network analysis for Landslide Detection System (J. Phys.: Conf. Ser. 1916 012120)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
Soekarno Hatta Airport Social Fund Application in PT. Angkasa Pura

The development of technology is currently growing rapidly so that many attract the attention of the wider community. The development of computers is constantly dynamic and requires information that is fast, precise and systematic and does not require a long time. Therefore, the processing of social funds plays a very important role in the financial process in the company. Social funds are gifts in the form of money provided or collected with the aim of helping the social needs of the company. Processing social funds still uses Ms. Excel is running less than the maximum due to input and expense input errors so that the report is out of sync. Therefore, there needs to be a social fund processing system to manage these funds to be synchronous. The research method used consisted of data collection methods, namely observation, interviews and literature study. For analysis using the PIECES analysis method. This system uses the PHP programming language and MySQL database. The system design uses the design of the UML (Unified Modeling Language) model. The testing method used is the Blackbox Testing method. The results obtained from this study are a social fund processing application system that helps companies in terms of fund management
CyberNAUT With SVT (Security Vulnerability Tester)

The world is going ahead with this technical and digital era. As the usage of digital systems and things based on AI are much more advanced. The required security for these systems must be advanced. These systems are coming with a lot more vulnerabilities and bugs. To make this as an assessment and give hands on practice for the new learners, this is a platform. This will be an open-source Operating system with some pre-installed applications and framework which will be very useful for basic EH (Ethical Hacking) learners. This OS (Operating System) is a Debian distribution of the latest 11th version with custom User and Root with their own passwords, this will work similarly to another Linux OS. Smooth and Classic like every other OS. This application (OS) will consist of basic applications like ZMAP, SQL Injection, ZENMAP, &amp; framework like METASPLOIT, website crawlers like BURP SUITE (Professional Edition), etc. With this, an unknown/new application of SVT (Security Vulnerability Tester) which is not available in the market, that’s what we are developing. This application is designed to reduce the risk of attackers and protect from unauthorized persons system exploitation, networks and technologies. This application will check the website address and will find the vulnerability in the site. The ultimate aim of this project is to build a bootable pen drive which will consist of this OS with pre-installed frameworks, software and SVT application for the beginner/learners of Ethical Hacking.
Formation of pareto-effective managerial decisions for the society sustainable development using mass media potential

The purpose, role and functions of modern mass media influence on all socially significant components of society by forming in the last public opinion, aimed at a joint search for Pareto-efficient solutions of sustainable development, are yet to be subjected to further thorough scientific and theoretical analysis. The new directions of scientific research in the field of management technologies based on the integration and harmonization of collective intelligence have been generated and widespread due to mass media dissemination of information, on the collective, participative, partnership management and leadership, on crowdsourcing and cognitive technologies, which form a new interaction paradigm between society and state as a way of cognitive behavior transformation of the individual, their groups and organized groups, nations and states through massive attraction and use their intellectual potential in combination with modern information systems. Spatial model of the search for a Pareto-optimal point of cost-effective market interaction of three participants in market transactions on the surface of utilitarian possibilities and the model of socially responsible Pareto-effective stakeholders’ interaction formation in the socio-economic system under the mass media influence are developed in the paper.