Reviewerly/exHarmony huggingface dataset:
NANOMATERIALS FOR REMOVAL HEAVY METALS AND PHENOLIC DERIVATIVES FROM AQUATIC SYSTEMS

Phenolic derivatives are a group of organic compounds that are often present in aquatic systems as a result of various industrial and natural processes. These compounds can have negative impacts on the environment and human health, making their removal from water systems an important concern. In recent decades, nanomaterials have become increasingly important in the field of removing phenolic derivatives from aqueous systems. Nanomaterials have unique properties such as high surface activity, high specificity and efficiency in the absorption of phenolic compounds. They can be used as adsorbents, catalysts or membranes for water purification. This review article examines the current progress in the use of nanomaterials for the removal of phenolic derivatives from aqueous systems. Various types of nanomaterials, such as carbon nanotubes, graphene, metal and oxide nanoparticles, are described, as well as their synthesis and functionalization to improve their efficiency. In addition, the prospects for the development of this field and possible challenges associated with the use of nanomaterials in the removal of phenolic derivatives are discussed. Important aspects are the environmental sustainability of nanomaterials, their biocompatibility and production costs. Research into nanomaterials for the removal of phenolic derivatives from aquatic systems continues to advance and promises to make significant contributions to improving water quality and environmental protection in the future. Keywords: photocatalysis; mesoporous materials; triclosan; phenolic compounds; emerging pollutants; multifunctional nanomaterials
The Complex Nexus: Analyzing the Interplay of Economic Growth, Corruption, Foreign Direct Investment, and Institutions

A significant component of economic growth is the enlightenment of the economy. Corruption slows down economic growth. Human civilization is influenced by corruption, a relic of an ancient occurrence in all countries worldwide. Economic growth is negatively affected by corruption. In the presence of poor institutions, corruption slows the flow of FDI. In this analysis, FDI and institutions are studied using panel data. Drisc and Kraay and. fixed effects techniques are used to determine nexus. The analysis is carried out for 53 developing countries from 2005 to 2022. The results indicate that corruption hinders economic growth, whereas the inflow of FDI boosts economic growth. Results show that economic growth decreases due to weak political and economic institutions in developing countries. This suggests that countries should invest in developing strong economic and political institutions to benefit from FDI. Also, countries should focus on reducing corruption to encourage economic growth. Governments should also create incentives to attract FDI, such as lower taxes, improved infrastructure, and relaxed labor regulations. Finally, countries should put in place measures to protect FDI from political interference and instability.
Differential Education as an Approach for Improving Future Specialist’s General Competence

Differential education, as an innovative approach, aims to enhance the general competence of future specialists by recognizing and accommodating individual learning styles, preferences, and abilities. This research explores the principles and implementation of a differential education model in the context of higher education, specifically focusing on its potential to foster a well-rounded skill set among future specialists.This research article investigates differential education as a transformative strategy for enhancing the general competence of prospective specialists in various domains. In recent years, the old "one-size-fits-all" approach to education has been called into question, and there is a growing recognition of the need to adapt educational practices to accommodate students' diverse needs, talents, and learning styles. This research investigates the principles, methodologies, and benefits of differential education, as well as its potential to foster a more inclusive, adaptive, and productive learning environment. By analyzing case studies and research data, this research demonstrates how differential education can prepare future specialists to flourish in their respective fields while cultivating a holistic and well-rounded skill set.
Governance Behavior in Organizations and Team Performance: The Influence of Leader Trust

This research analyzes the complicated link between leader trust, governance behavior, and team success in organizations. Governance provides the foundation for rules, procedures, and decision-making, making it crucial to organizational success. The research claims that leader trust influences governance behavior, team dynamics, and performance. Team performance is crucial to organizational health and efficiency, and governance frameworks affect it. High-performing teams foster innovation, efficiency, and flexibility, which are vital in a complicated corporate environment. Governance, including strategic decision-making, power and responsibility balance, and corporate culture alignment, is vital to organizational guidance and control. The influence of governance behavior on team performance is unclear in the research. This research examines leader trust, which is essential to governance systems. Honest, fair, and goal-oriented leaders foster a collaborative team atmosphere. However, a lack of leadership trust may lead to skepticism and rejection of governance norms, causing communication and collaboration issues that inhibit teamwork. Filling a critical literature vacuum, this work is important. Governance behavior, leader trust, and team performance are examined. A systematic literature review is used to gain insights from respected academic databases, journals, and archives. Leader trust starts a positive feedback cycle, according to the research. Trust increases governing behavior, which boosts teamwork. This cycle builds confidence and collaboration. Competitive businesses must understand the trust-governance-behavior continuum. one continuum improves decision-making, employee engagement, and organizational performance, according to one research. This study shows the necessity of trust for long-term success and provides academic and organizational counsel.
The effect of special exercises on developing the cognitive speed of football players

The purpose of this paper is to effect of special exercises on developing the cognitive speed of football players. The researchers used the experimental method by designing the experimental and control groups to suit the nature of the research. The researchers chose the research sample intentionally, Al-Khalis Sports Club Sports football players in Diyala Governorate, who numbered (20) for the year (2022-2023). The sample was divided into two experimental and control groups by drawing a lottery. There are (10) players per group and goalkeepers have been excluded. After completing the tests, appropriate statistical treatments were used to obtain the results, after which the results were presented, analyzed and discussed. The two researchers reached the most important conclusions that special exercises in developing cognitive speed have an effect in increasing the speed of movement of football players. The most important recommendations were the necessity of using the special exercises used in the current study, as the positive results have proven in developing cognitive speed in football, and conducting more research and studies that address the impact of special exercises in other sports events and sports and on different samples.
Key Elements of Relevant Pre-service Training from the Perspectives of Science Education Graduates

The challenges in schooling brought by a pandemic point to the importance of relevant practices responsive to the dynamics in the workplace and suggest rethinking the pre-service training in higher education. The study used the triangulation in mixed methods research among the 24 purposely selected science education graduates. The qualitative data was gathered through interviews, and the contexts of narratives were analyzed thematically. The survey results on attaining professional standards represent the quantitative data, and the two data sets were merged for analysis and comparison. The merging of the identified themes and quantitative results revealed that thekey elements relevant in pre-service training are procedural and pedagogical content knowledge that facilitates learning, skills for lifelong learning, behaviors for self-regulation, and behaviors supporting effective teaching. These fundamental elements in teaching are recommended as the basis for determining pre-service teachers' readiness toward actual teaching practice.
Analysis of Problems and Solutions in Social Studies Learning at Elementary Schools

The purpose of writing this article is; 1) describe the problems of social studies learning in elementary schools; 2) identify solutions to social studies learning problems in elementary schools. The method used in writing this article is a literature review or literature study, which uses theories and reference approaches that are relevant to the problem topic of writing this article. The steps for analyzing literature studies are; 1) describe the comparison and relevance of references that will be used to examine the topic problem; 2) matrix mapping according to data and reference needs; 3) establish concepts that are contextual to the topic problem, so that they can be linked to each other. Based on the results of the literature study conducted, it is clear that; 1) Social studies learning problems in elementary schools include; the material presented is less contextual to real life, development of problem solving skills is not carried out; textbook-based learning approach; and students' disruptive behavior often occurs in learning; 2) Solutions for handling social studies learning problems include; minimizing abstract material and focusing on issues that develop in everyday life to make it more contextual, selecting appropriate learning strategies and approaches to create meaningful learning for students, and using technology in learning to increase students' attention and concentration to Avoid disruptive behavior during learning.
Development of Assessment Media Using Wondershare Quiz Creator for Evaluation Effectiveness for Teachers in Dompu Regency

The increasingly rapid development of technology has spurred the world of education to adapt to the progress of the digital world. Minister of National Education Regulation number 16 of 2007 mandates that one of the core competencies of teachers is to carry out assessments and evaluations of learning outcomes. Technology integration is one of the main characteristics of education today. The use of computers, the internet, smart devices and educational applications is becoming increasingly common in educational settings. Teachers must be able to integrate media into their daily teaching process. The problems that occur at SDN 32 Woja can be overcome by computerization in making questions. Research and Development (RnD) is the type of research used in this research. RnD is a highly effective research strategy or method for improving practice. The validation results of the computer mathematics learning assessment tool created by quiz maker Wondershare achieved an average percentage of subject matter experts of 90.25%. Based on the results of limited experiments, the average student response rate in the very interesting category was 80.21%. In summary, it can be concluded that based on students' answers, the effectiveness of the mathematics learning assessment tool using Wondershare quiz creation software is considered very effective, with an average assessment percentage of 83.26%, which means this learning assessment tool is suitable for use.
SAGO STARCH AND SODIUM ALGINATE AS NATURAL CROSSLINKING FOR CAPSULE ALTERNATIVES

Capsule shells are generally made from gelatin. The gelatin that is spread in the world is commonly derived from pigs. This animal is forbidden to be consumed by Muslims. This issue is due to the halal aspect. Sago starch and sodium alginate are halal materials that are capable of gelatinizing. This property made it able to be molded as a capsule. This research aims to determine the formula of sago and sodium alginate as a capsule and the evaluation. Three formulas were made with the ratio of sago and sodium alginate 100%: 0% (formula 1), 50%: 50% (formula 2), and 0%: 100% (formula 3). The capsule was manually molded using a food-grade stainless steel capsule mold. The size of the capsule, weight uniformity, swelling, and disintegration time were determined for a physical evaluation. SLD was used to determine the best formula, and the validation was done using One-sample T-test. The evaluations of the capsule shell were found ranged as follows: the size specifications were 21-22 mm, the body diameter was 6.1-7.2 mm, the cap diameter was 13.6-13.8 mm, weight uniformity was 0.10-0.26 gram, the swelling test was 433-1583%, and the disintegration time was 10.20-14.43 minutes. The best formula based on the SLD of the experiment was formula 3, which are two parameters that met the requirements, i.e., swelling and disintegration time. The sago and sodium alginate were crosslinked, and the capsule was made. However, the performance dislike of gelatin capsules. Continued research shall be done to find the optimum formula and its characteristics for alternative material on halal capsules.
Analisis dan Penanganan Insiden Siber SQL Injection Menggunakan Kerangka NIST SP 800-61R2 dan Algoritma Klusterisasi K-Means

Based on the OWASP Top Ten document in 2021, attacks or vulnerabilities in an application in the form of injection still rank in the top 3. SQL Injection attacks are still classified as injection vulnerabilities so they need special attention from Information &amp; Communication Technology Managers. Badan Siber dan Sandi Negara (BSSN) has published a document related to preventing SQL Injection attacks. However, the document has not included a cyber attack analysis process that uses the K-Means clustering approach. So in this research, a collaborative method of handling cyber attacks in the form of SQL Injection is proposed using the NIST SP 800-61R2 framework as a fundamental for handling cyber attacks and K-Means clustering. Before analyzing cyber attacks, it is better to use a framework or standardization that applies globally. Based on the research conducted, the K-Means clustering algorithm can help cybersecurity analysts in the process of analyzing cyber attacks that occur. The result of this research is that the optimal value is obtained that cyber attacks in the form of SQL Injection, namely 3 clusters. The hope of the research can facilitate cybersecurity analysts in analyzing cyber attacks that are poured into reports to parties in need
Implementation of an Information System for Transaction Data Analysis Using the Holt-Winters Method

Decision-making errors are fatal in company operations and often result in reduced profits. In making the right decisions, in-depth internal and external data analysis is required. One effort to increase decision-making accuracy is to apply a forecasting algorithm for existing transaction data. This research uses data mining and Forecasting for car repair companies. The information system being built is expected to be able to display a list of satisfied customer data, group transaction data based on the level of damage, and provide forecasts for the number of panels, number of units, and total revenue for the next period. From this data, it will be easier for management to determine the number of workers, additional tools, and stock of materials for the vehicle repair process. This information system was built by applying three algorithms, namely C4.5, K-Means, and Holt Winter Multivariate. The C4.5 algorithm will help group customer types, K-Means will help cluster vehicle damage levels, and Holt-Winters will be used for experience. The tests carried out included testing the accuracy of each algorithm, the black box system, and the system time so that the accuracy results were 100% for the C4.5 classification algorithm and 92.28% for the accuracy of K-Means which was tested with the purity measure. Meanwhile, the MAPE value for forecast testing was between 9 – 11% for each forecast.
Discussion of Suggested Modifications

The paper presents the transcript of the discussions during the first scientonomy workshop that took place on February 25, 2023. The participants discussed and voted on several modifications concerning the scientonomic workflow (Sciento-2019-0007, Sciento-2019-0001, Sciento-2019-0002, Sciento-2019-0003, Sciento-2019-0004, Sciento-2019-0005, Sciento-2019-0006) as well as two modifications concerning the idea of scientificity as an epistemic stance (Sciento-2018-0013) and the respective law of theory demarcation (Sciento-2018-0014).
Negative Emotions Present in the Classroom After Pandemic Covid-19

Proceedings of the 5th International Conference on Applied Research in Education Year: 2023 DOI: https://www.doi.org/10.33422/5th.areconf.2023.10.105 [PDF] Negative Emotions Present in the Classroom After Pandemic Covid-19 Sergio Zepeda, Alba Nuñez ABSTRACT: The mandatory lockdown imposed by Covid-19 worldwide had a significant emotional impact on people, Students were among those most affected, as well as their social interaction and learning process maintained for many years, a process that was abruptly interrupted and that forced the students to have their classes at home often in adverse learning environments. All of these factors led to the emergence of negative emotions in students during the pandemic. Even though it has been declared over, some of these negative emotions still persist in students. In this paper, we show qualitative research using the focus group method to determine what negative emotions generated by the pandemic students still experience while attending in-person classes. The results obtained show the top ten primary emotions that students express feeling during the pandemic and which of these persist in them currently. The paper also presents the three main negative emotions that were found in the presented case study. Finally, we provide a discussion to reflect on our role as educators to attend students who were profoundly affected worldwide by the lockdown. We show an approach how emotions in the classroom should be a top priority subject for reflection in the teaching and learning process. keywords: Student-Teacher Relationship, Teacher Role in Learning Process, Emotions in Students, Research Education, Education
Environmental Sensitivity of Teacher Education Students in the Earthquake Zone

The research aimed to assess the environmental sensitivity of teacher education students within an earthquake-prone region, specifically exploring potential correlations between their environmental awareness, settlement size, educational program, and experiences related to the February 6 Earthquake. 342 students from Hatay Mustafa Kemal University Faculty of Education participated in the study, employing quantitative research methods and the “Environmental Sensitivity Questionnaire”. Data analysis involved frequency, arithmetic mean, and percentages, with the Kruskal-Wallis H test used to examine the link between students' environmental sensitivity, program of study, and settlement size, and the Mann-Whitney U test employed to assess the association between experiencing the February 6 Earthquake and environmental sensitivity. The data were analyzed using the SPSS program. The findings revealed that teacher-education students exhibited partial environmental sensitivity. Notably, students enrolled in mathematics teaching programs displayed higher environmental sensitivity than those in social studies teaching programs, while students residing in metropolitan and urban areas exhibited greater environmental awareness than their counterparts in non-metropolitan areas. Moreover, the research highlighted that teacher education students in earthquake-prone regions exhibited partial sensitivity towards air and water pollution, with lower sensitivity regarding soil pollution, population planning, and engagement in environmental initiatives.
Critical Discourse Analysis of Opinion Headlines in the American Radar Tegal Newspaper

The aim of this research is to explain the attitudes and views of newspapers in the opinion section of Radar Tegal which are displayed in the opinion headline discourse. The newspaper's attitude is divided into two frames, namely the frame criticizing the information and the frame supporting the information. In this research, it was obtained using the library method and the observation method. Data analysis methods are matching methods and participatory methods. The results of the research are in a supporting frame based on the writings of Tasrip S.Pd., MM (social studies teacher MTs N 4 Tegal) increasing the competency of madrasa teachers in mastering teaching materials and methods, supporting creative results in the form of science and technology products to make the best contribution to the world education. Meanwhile, the writing written by Diki Mardiansyah (Semarang State University Law Student) is an effort to prevent brawls between students and that there are strict laws for perpetrators of student brawls.
İnsan Kaynakları Uygulamalarının Orgütsel Performans Uzerindeki Etkisinin PLS Yaklaşımı İle Değerlendirilmesi

Considering that the individual is at the heart of human resources strategies, investment in this intangible capital becomes an imperative for companies seeking to achieve excellence. The aim of this research is to demonstrate the causal link between human resource development practices and organizational performance. In this work, we have presented the theoretical approaches that to treat the relationship between human performance and business performance. Following the universalist approach, we have developed a conceptual model linking the human motivation practices most common in the literature, namely: compensation, training, information sharing and communication, employee involvement, applied leadership style and internal professional relations. To verify the research model, we conducted a field survey of 46 companies in the industrial sector in the wilaya of Béjaia. The research results, obtained through structural equation modelling using SMART PLS, showed that leadership style and internal professional relationships have no direct impact on financial and non-financial performance. However, information sharing and communication only impact non-financial performance. And the two variables which measure remuneration and training were eliminated by the “PLS Algorithm” method.