Reviewerly/exHarmony huggingface dataset:
Preparation of Magnetic Base map Information (Total Magnetic Field) for Iraq in scale 1:1000000 using GIS system for strategic and industrial site selection projects studies.

The preparation of total magnetic field anomaly map scale 1:1000000 , has been based on the magnetic field map of the same scale, prepared by French company C.G.G. in 1974 [1]. This map has offered with a contour interval 20 gamma on a base map of scale 1: 1000000, which also contained the basic topographic features of rivers, lakes and main valleys, in addition to the cities and the main illustration sites .&#x0D; The preparation of the total magnetic field map of Iraq in this scale is for the purpose of industrials and strategic site selection projects throughout the country, through the creation of magnetic base information, and using geographic information system GIS, and take advantage of this information in this scale to study the topography and the nature of crystalline base rocks and its impact on the surface. In addition to the detection of the regional dynamic image, which represents the basis of the detailed seismotectonic situation. As well as the benefit in a broader and more comprehensive when planning the detailed geologic studies for site selection of any industrial or stratigic project at any point in Iraq.&#x0D; The general view of the patterns in the magnetic anomalies map showing the rules of en–echelon systems extending in three distinct trends consistent with the direction of many large rivers, streams and valleys patterns.
Prof. Dr. Sherif Shaheen: a Bibliometric Study of Intellectual Output

The study seeks to monitor and analyze the features or characteristics of the intellectual output of Dr. Sherif Shaheen using the bibliometric approach. Sherif Shaheen prepared 142 items issued from 1989 to 2022 and while his intellectual output increased over time, it peaked in the second decade of the twenty-first century (2010-2019).. The intellectual work was split roughly evenly between conferences studies (42.96%), periodical articles (38.03%), books (14.08%), and chapters or parts of books (4.93%), with 93% of it being written in Arabic and only 7% in English. The intellectual output was published in 13 countries, Egypt ranked first with a rate of 55.6%. The intellectual reading of the intellectual output indicates that the focus of his interest in his intellectual output is technology and the influences that surround, particularly with regard to electronic information sources, dealing with information activities from technological activities from a technological angle, and interest in the knowledge integration of intellectual heritage institutions.
Center of Largest Area Defuzzifier Vnit VLSI Architecture

Defuzzification unit combines fuzzy variables and fuzzy decisions to form a corresponding real (crisp or non-fuzzy) signal which can be used then to actuate some processes. Since the fuzzy data cannot be used directly for the real time applications, therefore it has to be converted into a crisp value. In designing the defuzzification unit in this work, the center of largest area has been used, because of its computationally efficient nature. The Center of Largest Area (COLA) of defuzzification is simple and is being generally used in comparison with more complex center of sums defuzzification method. The proposed architecture has been modeled in Very High Description Language (VHDL) and implemented in XILINX and Spartan field programmable gate arrays (FPGA).The proposed architecture is more efficient in area and the speed of operation in comparison with more complex architecture used for the Center of sums. The functional analysis has revealed that the proposed architecture is implementing COLA based defuzzifier efficiently and accurately.
Suitability of Fatha Limestone rocks in Sharqat Area for Riprap

The study aims to evaluate suitability of Fatha limestone rocks in Sharqat Area for Riprap. The exposed rocks belongs to Fatha &amp;Injana Formations in addition to quaternary deposits, Three stations were chosen to studied the limestone rocks in the north west plunge of Makhul anticline, Petro physical tests show the values(6.4-9.1)% (2.15-2.21)gm/cm3 (2.58-2.64) for Absorption, Dry density and Specific gravity respectively while the mechanical and chemical tests show the values(12-20) Mpa, (38-43)%, (5-12.5)% for unconfined compression strength, mechanical abrasion and chemical abrasion respectively, these properties of limestone rocks are suitable for Riprap purposes according to [1], and according to [2], are not suitable because the absorption values out of the specification. And not suitable according to [3], because the values of absorption out of the specifications.
Implementation of simple additive weighting (SAW) in determining nutrition in toddlers

The stunting or malnutrition in toddlers are the main problems facing society today[1]. Also, the fact that these young children experience lack of adequate nourishment in Indonesia is quite indisputable. Handling nutritional problems is closely related to the strategy of a nation to create healthy, intelligent and productive human resources. Efforts to improve quality human resources begin with how to manage children's growth as part of a family with good nutrition and care For this reason, this study takes part in supporting the alleviation of cases of malnutrition by using the Simple Additive Weighting (SAW) Method which is used to find the optimal alternative from a number of alternative criteria. The basic concept of SAW is to find the weighted sum of the performance ratings for each alternative across all attributes[2]. The SAW method requires a decision matrix normalization process (X) to a scale that can be compared with all alternative ratings[3]. The SAW method recognizes 2 attributes, namely the benefit criteria and the cost criteria. The method used was Simple Additive Weighting (SAW) which consists of 2 criteria, namely Height (TB) and Weight (BW) according to age for toddlers. The calculation accuracy of this application is 90% of the tested data
Center of Sums based Defuzzifier Unit VLSI Architecture

Defuzzification is a process of getting a crisp value from the fuzzy data. Since the fuzzy data cannot be used directly for the real time applications, therefore it has to be converted into a crisp value. In designing the defuzzification unit in this work, the center of sums has been used, because of its computationally efficient nature. The Center of Sums (COS) is faster than many defuzzification method and the method is not restricted to symmetric membership function is simple and is being generally used in comparison to more complex Center of gravity (also called Center of area or Centroid method) defuzzification method. The proposed architecture has been modeled in VHDL and implemented in XILINX and Spartan field programmable gate arrays (FPGA). The proposed architecture is more efficient in area (the area of implementation of VLSI Architecture) and the speed of operation in comparison to a more complex architecture used for the Center of gravity. The functional analysis has revealed that the proposed architecture is implementing COS based defuzzifier efficiently and accurately.
Using permutation function and the Bank of LFSR's in pseudo random generator keys

In this paper a Bank of Linear Feedback Shift Registers (LFSR) is used to design and build a system for cryptography. This algorithm consists of 16 Linear Feedback Shift Registers. When we choose eight Shift Registers for each operation of this system, we get one byte constantly this operation.&#x0D; The external unit consists of three Linear Feedback Shift Registers use for filling the main system to generate the stream cipher of bits (0&amp;1) as a Pseudo Random generator, in which we use the permutation system and this sequence of bits passed the statistical tests.
The Effects of the Use of 3D Printing Technology on the Entrepreneurs’ Operational Effectiveness

This paper examines the effects of the use of 3D Printing Technology (3DPT) applications on entrepreneurs’ operational effectiveness. For this purpose, a study model based on the relevant previous studies was proposed. The data for this research was collected using a self-administered questionnaire given to 161 respondents. The target respondents were those employed in entrepreneurial companies in Jordan and the data was analyzed using simple and multiple regression techniques.&#x0D; The findings indicate that the extent of 3DPT being used by entrepreneurial companies in Jordan was considered to be moderate at this stage and it varied among them in terms of their size and business experience. Further, all integrated effectiveness indicators (time, cost, quality, competitiveness and management processes) were significantly influenced by the level of the use of 3DPT; the most important effectiveness indicators were found to be time, cost and quality due to the business environment context found in Jordan.
The Level of Electronic Management Application in Private Jordanian Universities

This study aimed to reveal the level of application of electronic management in private Jordanian universities by surveying the views of a sample of faculty members from Al-Zaytoonah Jordanian University and the Applied Sciences University in Jordan. To achieve this aim, a sample of faculty members was selected, amounting to (130) faculty members for the academic year (2019/2020). A questionnaire consisting of (23) items was developed and its validity and reliability were verified. The study found that the reality of applying electronic management in private Jordanian universities was high. The results also indicated that there were no statistically significant differences at the level of significance (α £ 0.05) in all areas of the reality of applying electronic management in private Jordanian universities which can be attributed to the impact of gender and years of experience, while differences appeared due to academic rank.
Exploring Test Concept andMeasurement Through Validity andReliability Process inTVET Research: Guideline forThe Novice Researcher

Validity and reliability are important aspects of research, especially in social science and TVET research. The scales used in research that are important factors to enable good research results. The objective of this paper is to provide insight into important concepts of validity and reliability and also to introduce the major methods to assess validity and reliability as they relate to social science and TVETresearch. The research design and approach used for this study was a non-experimental research design. The data are using retrospective data and descriptive statistics which were used to run the simulation and analysis. The outcome of this research suggests that Cronbach’s Alpha is the best method to use when checking the reliability in terms of internal consistency. The alpha provides various information that can benefit the researcher, especially in novice research, The result from the simulation shows the importance of conducting validity and reliability test during the research process. It not only provided evidence but also confidence because it reflected consistency and accuracy.
Penerapan Material Batu Alam Berdasarkan Sifat dan Karakteristiknya pada Bangunan Masjid Ar-Rayyan Kementerian BUMN

The existence of proper and comfortable worship facilities in the office environment is an important factor in supporting the spiritual needs of every employee who works, this has prompted the Ministry of BUMN to renovate the Ar-Rayyan Mosque building. This study aims to analyze the application of natural stone types according to their functions in a building so that they can be taken into consideration in choosing building materials, especially natural stone. The results showed that the application of different types of natural stone in the Ar-Rayyan Mosque building had their respective functions and purposes, while their placement in the building depended on the motifs that were adapted to the design concept and the nature of each type of natural stone. Natural stone is a material suitable for use as building skin because in addition to its natural motifs and patterns, natural stone makes it look good in design and can also be used as natural insulation in buildings.
Sustainability Literacy to Vocational Students through Distance Learning with Experimental Demonstration: Ionic Liquid Experiment and Its Application as Fire Retardant

The purpose of this study is to introduce sustainability literacy to vocational students through distance learning with experimental demonstration as well asshow the production process of ionic liquid and its application as a fire-retardant agent. The method was the implementation of distance learning with an experimental demonstration method to 40 vocational students through three stages, namely given a pre-test; given an instructional video, and given a post-test. The learningprocess carried out was assisted by a learning video containing basic theory, experiments, and the application of ionic liquids. In this case, we taughtthe concept of manufacturing ionic liquid and its application in the industrial world that will be useful for vocational students when they graduate. The results showedthat the experimental demonstration method succeeded in improving student learning outcomes because of an increase in the score between the pre-test and post-test scores. This success is because students are taught through unique learning media such asa learning video. This learning videosucceeded in increasing students' understanding because the information in the video was presented attractively to stimulate students' curiosity and interest in the subject. In addition, students' responses to the learning video werethat they became moreenthusiastic aboutlearning because the content delivered relatesto the vocational training that they are learning, the video display is attractive, and the videos are easily accessible. Furthermore, the impact of the learning video on industrial applications is that the information conveyed in the video can be an alternative to making environmentally friendly solvents and solutions to improve the quality of bamboo as one of the materials used in industry. The addition of an experimental demonstration using commercially available materials also attracts students more because it motivates them to try it themselves. This study shows that experimental demonstration is effectively used in learning and fosters sustainability values in students.
Challenges and Considerations in Developing and Architecting Large-scale Distributed Systems

This paper investigates large-scale distributed system design. It looks at features, main design considerations and provides the Netflix API, Cassandra and Oracle as examples of such systems. Moreover, the paper investigates the challenges of designing, developing, deploying, and maintaining such systems, in regard to the features presented. Finally, the paper discusses aspects of available solutions and current practices to challenges that large-scale distributed systems face.
Normalized Coefficients Online Signature Verification System Minimizing the Effect of Age of the Person

Signature verification is one of the most widely used methods for person identification. The handwritten signatures are used in various applications like banker’s checks, the credit and debit cards issued by banks and various legal documents. The time factor plays an important role in the framing of signature of an individual person. Signatures can be classified as: offline signature verification and online signature verification. In this paper a time independent signature verification using normalized weighted coefficients is presented. Results show that the use of weighted coefficients makes the verification system independent of the person’s age and FAR and FRR, can be improved significantly.
Hybrid One Time Password Algorithm for Secure Healthcare IoT Data Access

The use of the Internet of Things (IoT) in daily life is a rising reality today. Even though there are many challenges in this environment, such as security risks, energy consumption issues, and heterogeneity, But, the number of connected devices is rapidly expanding. This interconnected network of gadgets has become indispensable to daily life as a result of the exponential growth in information sharing. As more people use this potent IoT platform, security flaws become more severe. One way to address numerous security vulnerabilities is by utilising One Time Passwords (OTP) to authenticate IoT users. The OTP has added an additional coating to the conventional username-password authentication system. But there is a need for an OTP algorithm to secure the healthcare IoT data while accessing it from Central Medical Servers (CMS) of the IoT healthcare environment without the use of any external devices. Thus, this research suggests the AroSheb Jo, a hybrid One-time Password generation algorithm for healthcare IoT data and provides an analysis of the algorithm's security. The comparison of its lightweight attributes and resistance to security assaults is also included in this research. This research additionally elaborates on the experimental and performance analyses of the algorithm.
Problems and Countermeasures in the Implementation of Mass Entrepreneurship and Innovation in Universities in China

At present, the new curriculum reform continues to promote the implementation, the school education reform is in full swing.Under this background, colleges and universities are also gradually carrying out educational reform work.At present, many colleges and universities are very concerned about the employment of students.However, with the expansion of the scale of colleges and universities and the increase of the number of college students, many college students can not find a job, or can not find a satisfactory job every year.The employment of college students has always been the focus of social attention.How to make college students fully employed and improve the quality of their employment has become the focus of the current colleges and universities.In this context, the concept of "mass entrepreneurship and innovation" education has emerged."Mass entrepreneurship and innovation" includes two aspects.On the one hand, it is "innovation".In the process of education and teaching, universities should change the traditional single mode and follow the heuristic education principle, so that students can have an innovation consciousness and improve their innovation ability.On the other hand, in "entrepreneurship", colleges and universities should correct students' traditional employment concept and backward employment thought in education and teaching, encourage students to start their own businesses, and realize their own value through entrepreneurship.Therefore, this paper studies the problems and countermeasures existing in the implementation of the "mass entrepreneurship and innovation" education policy in college education.
550. Post-Mortem Natural Language Processing Based Deep Phenotyping of Alzheimer Disease Brain Donors and Association With RNAseq

Post-mortem brain research is often based on categorical diagnoses determined prior to death. We piloted modeling dimensional phenotypes based on Research Domain Criteria (RDoC) domains using electronic health records (EHR) available from donors. Furthermore, we provide evidence for an association of Alzheimer’s disease (AD)-related genes and molecular pathways with dimensional psychopathology from AD donors.
CRITERIA-BASED ASSESSMENT MODEL IN THE EDUCATION SYSTEM OF KAZAKHSTAN

The article deals with the problems of using the Criteria-based Assessment Model in Kazakhstan's education system. The Criteria-based Assessment Model uses specific quantitative indicators of students' understanding of the curriculum, an objective and reliable assessment of students' knowledge and achievements. This assessment system enables teachers to identify and evaluate each student's strengths and weaknesses, assess their learning needs and achieve educational goals. Additionally, it allows for targeted learning, feedback, and compliance with international standards. The Criteria-based Assessment Model aims to enhance student motivation and engagement through formative and summative evaluations. The formative assessment provides ongoing feedback and support while the summative assessment evaluates the overall curriculum at each stage of academic study and at the end of the year. The research uses a quantitative approach to assessing criteria. The Criteria Assessment Model demonstrates the quality of English language proficiency of secondary school students in the second quarter through formative and summative evaluations. It helps teachers in Kazakhstan's education system to achieve students' academic success and the objective of controlling and evaluation.
A Survey on Different Approach Used for Sign Language Recognition Using Machine Learning

This paper presents a survey of different approaches used for sign language recognition using machine learning. Sign language recognition is a challenging problem that has attracted considerable research attention in recent years. Various machine learning techniques such as artificial neural networks, support vector machines, decision trees, and convolutional neural networks have been explored to recognize sign language gestures. The survey discusses the strengths and limitations of each approach, as well as their performance on different datasets. Moreover, it also discusses some recent advancements in sign language recognition, including the use of depth sensors and wearable devices. The survey concludes that while machine learning approaches have shown promising results, there is still room for improvement in terms of recognition accuracy, robustness to variations, and real-time performance.
Expert Identification Using Topic Models in Semantic based Genealogical Graphs

Abstract In scientometrics, semantically closer research articles tend to form a genealogical graph pattern which is used to derive explicit semantic lineage. The assumption of classic research article is that; the article has a high influence factor among the genealogy neighborhood. The candidates for identifying experts in each genealogical graph are chosen by finding one or more classic research articles from that graph and extracting the authors of those classic research articles. This paper proposes machine learning based approaches for mining the genealogical research paths which facilitate the inclusion of implicit citation/reference edges as well as indirectly linked citation lineage edges which are otherwise non-citing, to contribute effectively towards expert identification and ranking.
Improved Adaptive Momentum Method

Abstract In this paper, we present a new gradient descent optimization method that overcomes some weaknesses of existing gradient descentoptimization strategies. The proposed optimization technique is basedon the variation of simple gradients and regulates the learning rate inresponse to the need for an efficient learning adjustment mechanism.The memory and hyper-parameter requirements of our algorithm are reduced compared to other algorithms. We provide a convergence analysisof the algorithm. In order to evaluate our algorithm we perform classification tests on the MNIST data collection, IMDB movie review data andCIFAR-10 data, to explore how our proposed method performs againststate-of-the-art optimizers, such as SGD(M), Adam, Adamax, NadamRMSProp, Adagrad and AdaDelta. Our algorithm is computationallyefficient and effective when compared to existing methods.