bluuebunny/crossref_metadata_2025 huggingface dataset:
THE INFLUENCE OF THE GUIDED INQUIRY LEARNING MODEL ON SCIENCE PROCESS SKILLS IN ECOSYSTEM MATERIAL
Authors: Sarah Agustin Ayu , Kartini  , Vidya Setyaningrum
Published: July 2024

Abstract
Science process skills were important for discovering knowledge concepts, but had not been fully trained at MIN 3 Pontianak. The guided inquiry learning model could train these skills. This study aimed to describe the effect of the guided inquiry learning model on science process skills in ecosystem material. The research method was quantitative with a true experimental pre-test and post-test control group design. The sample was taken randomly, with class VB as the experimental class and VA as the control class. The results showed that the guided inquiry learning model had no significant effect on science process skills inferentially, but descriptive analysis showed an increase in the average of these skills. Researchers need to conduct more in-depth evaluations and use more accurate instruments. This research can be the basis for improving science process skills, especially in the aspect of prediction to be higher.
INTEGRATING NEUROSCIENCE AND ISLAMIC EDUCATION TO PROMOTE CHILD-FRIENDLY SCHOOLS: A CASE STUDY OF ELEMENTARY SCHOOLS IN YOGYAKARTA CITY
Authors: Widodo Hendro , Jailani Mohammad , Hidayat Panji
Published: July 2024

This research focuses on presenting a model for developing Child-Friendly Schools (SRA) in Yogyakarta's primary schools by combining principles from neuroscience and Islamic education. Employing a qualitative descriptive approach, the study engages school principals, teachers, and students as research subjects. Data collection entails observations, interviews, and documentation, with data validity ensured through source and technique triangulation. Analysis follows Miles Huberman's Interactive Model, encompassing data reduction, presentation, and conclusion/verification. The study reveals that SD Negeri Giwangan and SD Negeri Ngupasan effectively implement child-friendly school practices according to Yogyakarta Mayor's Decree No. 434 of 2016. These schools prioritize six essential indicators: 1) SRA Policy, 2) Curriculum implementation, 3) Training of educators and staff in children's rights, 4) SRA facilities and infrastructure, 5) Fostering child participation, and 6) Encouraging parent involvement. The incorporation of neuroscience insights and Islamic education principles has notable positive implications. This approach contributes to shaping students' behavior to become both well-behaved and child-friendly. Moreover, it facilitates the creation of an enjoyable learning environment and nurtures students' imaginative capabilities.
Abstrak:
Penelitian ini bertujuan mendeskripsikan model pengembangan Sekolah Ramah Anak (SRA) berbasis neurosains dan pendidikan Islam di SD Kota Yogyakarta. Penelitian ini merupakan penelitian deskriptif kualitatif. Subjek Penelitian adalah kepala sekolah, guru, dan siswa. Teknik Pengumpulan data menggunakan observasi, wawancara, dan dokumentasi. Keabsahan data menggunakan Triangulasi sumber dan teknik. Analisis Data menggunakan Model Interaktif Miles Huberman mencakup  reduksi data, penyajian data, penarikan kesimpulan/verifikasi.  Hasil penelitian ini adalah SD Negeri Giwangan dan SD Negeri Ngupasan menerapkan sekolah ramah anak berdasarkan Surat Keputusan Walikota Yogyakarta Nomor 434 Tahun 2016. Kedua sekolah tersebut menerapkan 6 (enam) indikator Sekolah ramah anak  yaitu 1) Kebijakan SRA, 2). Pelaksanaan kurikulum, 3). Pendidik dan tenaga kependidikan terlatih hak-hak anak, 4). Sarana dan prasarana SRA, 5). Partisipasi anak, dan 6). Partisipasi orang tua. Implikasi dari neurosains dan pendidikan Islam membantu peran siswa berlaku baik dan ramah anak. Menciptakan suasana lingkungan sekolah yang menyenangkan dan menumbuhkan sikap imajinasi kreatif siswa.
STUDENTS' PERCEPTIONS OF ARTIFICIAL INTELLIGENCE TECHNOLOGY TO DEVELOP 21ST CENTURY LEARNING SKILLS
Authors: Fadli Failasuf , Iskarim Mochamad
Published: July 2024

The development of artificial intelligence technology is essential for students to follow to make learning easier. The trend of more powerful and intelligent AI is an opportunity for students to integrate into learning. Even though AI is developing rapidly, student learning abilities, such as critical thinking, computational thinking, creative thinking, and collaborative thinking, still need to be improved. The research aims to reveal the AI ​​students often use in learning and their problems. The research design uses surveys and qualitative. Research data collection techniques used interviews and observations of final semester students. The analysis involved data reduction, data presentation, and conclusions. This research found that the AI ​​that students often use is Canva, ChatGPT, and Quizizz. Canva is used to create image and video designs, ChatGPT is used to find answers to problems, and Quiziz is used to create exciting questions. Excessive use of AI can lead to dependence on technology, reducing interaction, which is essential in the learning process.
Abstrak:
Perkembangan teknologi kecerdasan buatan sangat penting untuk diikuti oleh para siswa agar pembelajaran menjadi lebih mudah. Tren kecerdasan buatan yang lebih kuat dan cerdas merupakan peluang bagi siswa untuk berintegrasi ke dalam pembelajaran. Meskipun AI berkembang pesat, namun kemampuan belajar siswa seperti berpikir kritis, berpikir komputasional, berpikir kreatif, dan berpikir kolaboratif masih perlu ditingkatkan. Penelitian ini bertujuan untuk mengungkap AI yang sering digunakan siswa dalam pembelajaran dan permasalahannya. Desain penelitian menggunakan survei dan kualitatif. Teknik pengumpulan data penelitian menggunakan wawancara dan observasi mahasiswa semester akhir. Data tersebut kemudian dianalisis dengan menggunakan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil dari penelitian ini menemukan bahwa kecerdasan buatan yang sering digunakan mahasiswa adalah Canva, ChatGPT, dan Quizizz. Canva digunakan untuk membuat desain gambar dan video, ChatGPT digunakan untuk mencari jawaban soal, dan Quiziz digunakan untuk membuat soal-soal yang menarik. Penggunaan AI yang berlebihan dapat menyebabkan ketergantungan terhadap teknologi sehingga mengurangi interaksi yang penting dalam proses pembelajaran.
IMPLEMENTING MORAL EDUCATION THROUGH AL-GHAZALI'S PERSPECTIVE IN ISLAMIC STUDIES: A CASE STUDY AT ELEMENTARY SCHOOL IN YOGYAKARTA
Authors: Aulia Ridha , Prastowo Andi , Fathunnajih Fathunnajih , Ayu Saputri Diah
Published: July 2024

The moral crisis is happening to students in Indonesia. This is evidenced by several criminal cases involving children and adolescents of school age. The purpose of this research is to find out how moral education is implemented in Islamic education learning in grade VI at SDN Sleman, Yogyakarta, based on al-Ghazali's perspective. This research was a case study. The data collection methods used in this research were observation, interview, documentation, and literature study. The research subjects were an Islamic education teacher and students of SDN Sleman Yogyakarta. The results showed that the Islamic education teacher at SDN Sleman Yogyakarta had implemented moral values in Islamic education learning. However, the surrounding environment is the biggest obstacle in instilling moral values in students.
Abstrak:
Krisis moral sedang terjadi pada pelajar di Indonesia, hal ini dibuktikan dengan beberapa kasus kriminalitas yang melibatkan anak-anak dan remaja usia sekolah. Tujuan penelitian ini adalah untuk mengetahui bagaimana implementasi pendidikan Akhlak dalam pembelajaran Pendidikan Agama Islam (PAI) di Kelas VI SDN Sleman Yogyakarta dengan perspektif al-Ghazali. Jenis penelitian ini adalah studi kasus. Metode pengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara, dokumentasi, dan studi pustaka. Subjek penelitian terdiri dari seorang guru dan siswa PAI SDN Sleman Yogyakarta. Hasil penelitian menunjukkan bahwa guru PAI SDN Sleman Yogyakarta sudah menerapkan nilai-nilai moral dalam pembelajaran PAI namun lingkungan sekitar menjadi kendala terbesar dalam menanamkan nilai-nilai moral pada siswa.
INVESTIGATING UNIVERSITY STUDENT’S ACCEPTANCE OF VIRTUAL AND REMOTE LABS IN THEIR LEARNING
Authors: Nasution Nanda Eska Anugrah , Rizka Chairany
Published: July 2024

With the advancement of information and technology, virtual and remote laboratories have become supplementary or extra tools for hands-on biology laboratories. In this study, we modified the technology acceptance model to incorporate three additional external variables derived from flow theory in predicting students' acceptance and use of virtual and remote laboratories. This research included 145 college students. These students used virtual and remote laboratories for at least three months. The learning subjects in this research are deoxyribonucleic acid extraction, polymerase chain reaction, gel electrophoresis, deoxyribonucleic acid microarray, and flow cytometry. Using SPSS 25.0, a multiple regression analysis was performed to test the structural model hypothesis. This study validated the association between the basic variables used in the technology acceptance model: perceived ease of use, perceived usefulness, attitudes toward using, behavioral intention, and actual use. There were no surprising discoveries for the technology acceptance model's primary variables. Concentration and perceived enjoyment in the flow theory variables have an extensive relationship with the technology acceptance model variables, perceived usefulness, and perceived ease of use. Meanwhile, one flow theory variable, time distortion, exhibits no significant relationship with perceived usefulness or ease of use.
Abstrak:
Laboratorium virtual dan jarak jauh menjadi tren yang dimanfaatkan sebagai alat bantu praktikum biologi. Kami memodifikasi model penerimaan teknologi dalam penelitian ini dengan memasukkan tiga variabel eksternal tambahan yang berasal dari teori flow dalam memprediksi bagaimana mahasiswa menerima dan menggunakan laboratorium virtual dan jarak jauh. Penelitian melibatkan 145 mahasiswa. Para mahasiswa ini telah menggunakan laboratorium virtual dan jarak jauh setidaknya tiga bulan. Materi pembelajaran penelitian ini adalah ekstraksi asam deoksiribonukleat (DNA), polymerase chain reaction (PCR), gel electrophoresis, deoxyribonucleic acid microarray, dan flow cytometry. Hubungan antara variabel dasar yang digunakan dalam technology acceptance model yaitu kemudahan penggunaan yang dirasakan (perceived ease of use), kebergunaan yang dirasakan (perceived usefulness), sikap (attitudes toward using), niat perilaku (behavioral intention), dan penggunaan sebenarnya (actual use) divalidasi dalam penelitian ini. Data yang terkumpul dianalisis regresi berganda dengan bantuan SPSS 25. Tidak ada penemuan mengejutkan untuk variabel utama technology acceptance model. Variabel konsentrasi (concentration) dan kesenangan yang dirasakan (perceived enjoyment) pada teori flow memiliki hubungan yang signifikan dengan variabel technology acceptance model, kebergunaan yang dirasakan dan kemudahan penggunaan yang dirasakan. Sedangkan satu variabel teori flow, distorsi waktu (time distortion) tidak menunjukkan hubungan yang signifikan dengan kebergunaan yang dirasakan atau kemudahan penggunaan yang dirasakan.
A THE INFLUENCE OF THE PROBLEM-BASED LEARNING MODEL ON CRITICAL THINKING ABILITY AND MATHEMATICS LEARNING OUTCOMES AT SMPS PGRI 19 LOHSARI BARAT
Authors: Adella Priti , Hasibuan Lily Rohanita , Eva Julyanti
Published: July 2024

The background to this research is the low level of mathematics learning outcomes and critical thinking abilities. The need for influential learning to support critical thinking skills and student learning outcomes through the problem-based learning model. This research aims to determine the effect of the problem-based learning model on students' critical thinking abilities and mathematics learning outcomes. The research was carried out at PGRI 19 West Lohsari Private Junior High School. This research is a quasi-experimental type with a Non-Equivalent Control Group Pretest-Posttest Design.  The subjects in this research consisted of two classes, namely class VIII-1 with a total of 26 students as an experimental class treated using a problem-based learning model and class VIII-2 with a total of 26 students as a control class using a conventional learning model. The data analysis technique used is the t-test or paired sample t-test. The instrument used is a test in the form of an essay to measure critical thinking abilities and mathematics learning outcomes. The results of hypothesis testing using the t-test obtained a value of t-count 8.33431 > t-table = 0.388, which means that there is a significant influence of the application of the problem-based learning model on critical thinking skills and mathematics learning outcomes for class VIII at PGRI 19 West Lohsari Private Junior High School. The Problem-Based Learning model has been associated with several advantages, such as improving critical thinking skills, improving problem-solving abilities, and improving mathematics learning outcomes. Thus, the problem-based learning model can be effective in improving students' critical thinking skills and mathematics learning outcomes.
OPTIMIZING MATHEMATICS LEARNING OUTCOMES USING ARTIFICIAL INTELLIGENCE TECHNOLOGY
Authors: Tulak Topanus , Rubianus  , Maramba' Sarah
Published: July 2024

The use of technology in learning has become inevitable in modern education. It plays an important role in optimizing the learning process, including in the context of mathematics learning. This study aims to describe the optimization of mathematics learning outcomes using Artificial Intelligence technology. This research uses a qualitative method with a descriptive approach. The instruments used were tests and interviews. The data collected was then analyzed using the interactive model analysis flow developed by Miles and Huberman, namely reducing data, presenting data, and verifying/concluding. The results showed that by using Artificial Intelligence (AI) technology in the learning process, lecturers can provide experiences tailored to students' individual needs, improve their understanding of mathematical concepts, and provide fast and precise feedback. Thus, the use of AI technology can optimize mathematics learning.
ANALYSIS OF MATHEMATICAL PROBLEM SOLVING ABILITY OF CLASS X STUDENTS REVIEWED FROM LEARNING STYLE
Authors: Andi Mattoliang Lisnasari , Ta’a Raoda Isti , Nursalam  , A. Sriyanti  , Suharti
Published: July 2024

It is important to know students’ mathematical problem solving abilities based on their learning styles to identify the most appropriate teaching method to maximize each student's learning potential. This research aims to analyze the mathematical problem solving abilities of class X IIS 1 MA Guppi Ralla students by considering three learning styles, namely visual, auditory, and kinesthetic. The approach used is a qualitative approach. The research subjects consisted of three students, representing various learning styles. Data was collected through learning style questionnaires, problem solving ability tests, and interviews. The data results were analyzed using data reduction, data display, and conclusion drawing. The results of this research indicate that the mathematical problem solving abilities of class X students at MA Guppi Ralla can be influenced by their learning style. Based on the analysis of problem solving abilities in three subjects representing visual, auditory, and kinesthetic learning styles, it can be concluded that students with a visual learning style have good mathematical problem solving abilities, especially in understanding problems, making plans, implementing plans, and looking back. Students with an auditory learning style also have good abilities in solving mathematical problems, although there is some difficulty understanding the problem carefully. Meanwhile, students with a kinesthetic learning style are also capable of solving mathematical problems, but they tend to be less careful in defining problems. Further research could explore how various teaching methods tailored to students' learning styles influence the improvement of their problem solving ability.
PROFILE OF STUDENTS’ MATHEMATICAL CONNECTION IN SOLVING ETHNOMATHEMATICS PROBLEMS IN TERMS OF HIGH MATHEMATICAL ABILITY
Authors: Siti Lailiyah  , Aning Wida Yanti
Published: July 2024

Mathematical connections are one of the five standards in mathematics learning and must have by students in the 21st century. Mathematics learning using culture (ethnomathematics) has a positive impact on students' mathematical understanding. Therefore, this research focuses on students' mathematical connections in solving ethnomathematics problems in terms of high mathematical abilities. This research aims to describe students' mathematical connections in solving ethnomathematics problems in terms of high mathematical abilities. This type of research is descriptive qualitative research. The subjects of this research were four mathematics education students at UIN Sunan Ampel Surabaya who had the highest Grade Point Average (GPA) of more than 3,5. Data was collected through written tests and interviews. The written test was used to reveal students' mathematical connection skills in solving Arek culture ethnomathematics problems. The interview used data triangulation by comparing students' answers when completing the test with what is revealed and deepening the results of the written test if there is something that needs to be confirmed. Next, the data is grouped and analyzed according to mathematical connection indicators. Based on the results of this analysis, it was found that the mathematical connections of students who had high mathematical abilities in solving ethnomathematics problems were in the less and very less categories. Meanwhile, the types of mathematical connections in the four subjects in solving ethnomathematics problems are procedural connections, comprehension connections, and equivalent representation connections.
ANALYSIS OF STUDENTS' ERRORS IN SOLVING LITERACY AND NUMERACY PROBLEMS: A NEWMAN PROCEDURE APPROACH
Authors: Logistica Raden Siti Aaisyah , Awalludin Subhan Ajiz
Published: July 2024

Mathematical literacy and mathematical numeracy are basic skills that are crucial for educational progress and individual development. However, students' mathematical literacy and numeracy skills in Indonesia must still meet the expected standards. Therefore, this research aims to analyze students' errors in solving mathematical literacy and mathematical numeracy questions. This research uses qualitative research with a descriptive approach. In this study, six subjects were selected using a purposive sampling technique, with two subjects representing high, medium, and low ability categories. Subject selection criteria are based on the results of essay tests in the algebra domain. Mathematical literacy and mathematical numeracy abilities were analyzed through student error analysis using the Newman error indicator, which includes five procedures: (1) reading, (2) comprehension, (3) transformation, (4) process skills, and (5) encoding. The results showed that students' error rates varied depending on the level of mathematical literacy and numeracy skills. Subjects in the high ability category generally need to improve comprehension, processing skills, and answer writing stages. Subjects in the medium ability category typically make mistakes in the reading, comprehension, processing skills, and answer writing stages. Then, subjects in the low category tend to make mistakes at all stages of analysis. The recommendations from this study are expected to provide valuable insights for educators in designing more effective learning strategies to overcome these errors.
GENDER DIFFERENCE IN MATHEMATICAL SPATIAL ABILITY AND FACTORS THAT MAY AFFECT IT
Authors: Silitonga R. H. Yanti , Ratumanan T. G. , Telaumbanua Esterni
Published: July 2024

This study aims to quantitatively investigate the spatial ability differences between male and female students to provide empirical evidence. In this study, 36 high school students took the sample. Spatial ability tests are used to gather data about student spatial abilities. The data is then analyzed using a T-test to test the hypothesis. The results of the study showed that there were significant differences between the spatial abilities of male and female students, and in general or as per gender, the student's space capacity was still low. Factors that may influence significant gender differences are biological and social-cultural, while the student's spatial abilities are still low because the students are not accustomed to getting training on issues related to space abilities. The use of learning media for student spatial abilities is not optimal.
PROBLEM-BASED LEARNING WITH SCAFFOLDING TO IMPROVE NUMERACY LITERACY OF JUNIOR HIGH SCHOOL STUDENTS
Authors: Fathurrohman Fani Laffanillah , Harry Dwi Putra
Published: July 2024

Numeracy literacy is crucial because it can help someone understand the role or usefulness of mathematics in their daily lives. Therefore, it is necessary to research to improve students' numeracy literacy. The purpose of this research is to take action and analyze the use of the PBL model with scaffolding to improve students' numeracy literacy. Classroom action research with Kurt Lewwin model which consists of planning, implementation, observation, and reflection. Data collection techniques using tests and observation sheets. The data analysis technique used was qualitative and quantitative analysis.  The subjects of this study were students of class VII-D at SMP Negeri 5 Cimahi. Data analysis can be concluded that Problem-Based Learning with Scaffolding can improve numeracy literacy, in cycle 1, we obtained an average value of 65 with a completeness rate of 50% which amounted to 20 students, and those who did not complete there were 20 students or 50%. While in cycle 2, the average score was 73.5 with a 70% completeness rate totaling 28 students and 12 students or 30% were not complete. With the application of the Problem-Based Learning model with Scaffolding, students are more active in participating in the learning process than before the action is given.
Paving Low-Temperature Asphalt on the B 169 Highway Near Heyda
Authors: Steinbach Alexander , Rott Peter
Published: July 2024

Research into lowering the temperature during the production and installation of hot asphalt has been going on for a long time. In addition to developing appropriate recipes, it is important to gain experience, particularly in asphalt paving technology, since in addition to the behavior of the different asphalt mixtures during their compaction, external factors such as the location of the project and weather conditions also play an important role. The testing of the low-temperature asphalt on the federal highway B 169 was carried out successfully. Due to the high pre-compaction by the paver screed, the required compaction values were achieved on the binder course with 4 rolling passes and on the surface course with 3 rolling passes. The viscosity-changing additives and the selected rolling technology had a positive influence on the results. However, precise measurement results for compaction could not be achieved using the PQI probe.
Application and Performance Analysis of Deep Learning Models in Power Dispatching Automation
Authors: Yan Liu , Yucheng Shu , Kailin Ma
Published: July 2024

Amidst the swift advancement of smart grid technology, traditional power dispatching methods have become inadequate in addressing escalating power needs and intricate system management prerequisites. By incorporating a deep learning model, we have refined these methods, facilitating data-driven dispatching decisions and optimizing power resource allocation and dispatching efficiency. Our experimental outcomes reveal that the Long Short-Term Memory network (LSTM) excels in handling intricate time series data, boasting superior accuracy and convergence rates compared to the Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN). Detailed performance evaluations confirm LSTM’s proficiency in capturing long-term dependencies and processing time series traits inherent in power dispatching data. Furthermore, a 10-fold cross-validation underscores the LSTM model’s stability and generalizability. In essence, this study concludes that in the realm of power dispatching automation, the LSTM deep learning model demonstrates remarkable effectiveness and holds vast potential, anticipating crucial support for the reliable operation and optimal dispatching of the electrical power system (EPS).
A Construction Method for Grade Protection System Based on STRIDE Threat Modeling
Authors: Zhao Dan , Zhou Zhenliu , Wang Hongjiang
Published: July 2024

In recent years, against the backdrop of the national high attention to cybersecurity, the implementation of grade protection systems has been vigorously carried out in various industries within the Internet+ environment. However, the construction of grade protection systems has gradually revealed several issues: network product providers have a weak security awareness and lack of secure development experiences, leading to systems often failing to meet their grade protection requirements; Grade protection evaluation is complex and tedious, consuming a significant amount of time and labor costs. To address the issues above, this paper proposes a construction method for grade protection systems based on STRIDE threat modeling: by establishing the correspondence between threats and grade protection requirements, threats are eliminated during the system development process while implementing the content of grade protection requirements; through the security verification of threat elimination, materials for grade protection evaluation are accumulated, and work reuse is leveraged to alleviate the workload of grade protection evaluation. Implementing this method can effectively promote the construction of grade protection systems.
Research on the application of artificial intelligence technology in teaching the cultural inheritance and innovation of urban public space
Authors: Feng LiWen , Heng HaoYi
Published: July 2024

In recent years, the rapid development of artificial intelligence (AI) technology has brought new opportunities to the field of education. With its powerful data processing and analysis capabilities, AI technology has shown great potential in the integration of educational resources and personalized teaching. Specifically in the realm of design education, AI technology holds immense potential to enhance our comprehension of the cultural essence of urban public spaces, elevate the standards of design education, and thereby foster a generation of design talents equipped with both innovative thinking and practical proficiency. The objective of this study is to delve into the application and impact of AI technology in the educational setting, against the backdrop of cultural preservation and urban public space innovation. By conducting a comparative analysis between an experimental group and a control group, this research aims to thoroughly examine the role AI technology plays in augmenting students’ spatial design proficiency, cultural comprehension, and innovative thinking capabilities. The research results show that AI technology significantly improves students’ abilities in the above three aspects by providing personalized learning paths, rich learning resources, and real-time learning feedback. Specifically, students’ spatial design abilities such as spatial composition and color matching have been improved, their ability to understand and appreciate different cultures has also been enhanced, and their innovative thinking and imagination have also been effectively stimulated. This study provides the theoretical basis and practical guidance for educators to better integrate AI technology into teaching, which helps promote the inheritance and innovation of urban public space culture.
A Study on the Relationship between Life Satisfaction and Physical Health of Retired Female Athletes
Authors: Xie Wuyang , Zhou Jianwei , Yu Huan , Cai Zongsen
Published: July 2024

This article investigates the relationship between life satisfaction and physical health of retired female athletes, as well as the factors that may affect this relationship. In addition, the study also found the impact of retirement time on life satisfaction. The research results indicate that athletes have higher life satisfaction in the first year after retirement, but in the 3-5 years after retirement, life satisfaction significantly decreases. This may be due to the challenges and pressures of adapting to new lifestyles and changing roles after retirement. Our research delved into the disparities in life satisfaction across various sports disciplines, examined the mediating influence of social support within this context, and considered the effects of age and gender on these relationships. Notably, we identified variations in life satisfaction levels among athletes engaged in different sports, with social support emerging as a pivotal factor in enhancing life satisfaction. Furthermore, we observed that age and gender also impacted these dynamics. The findings from this study hold significant implications for enhancing the support and resource allocation provided to retired athletes. By understanding these multifaceted relationships, we aim to enhance the quality of life and physical health of retired athletes.
Prevalence of Depression and Anxiety in Patients with Multidrug-Resistant Tuberculosis: An Analysis With DAS-21R
Authors: Popoiag Ciprian-Constantin , Gache Alexandra-Cristiana , Iosif Alexandru-Cătălin , Rugină Sorin
Published: July 2024

Background: Multidrug-resistant tuberculosis (MDR-TB) is a major challenge worldwide and significantly affects patients’ quality of life. This comparative study examines the prevalence of anxiety, depression and stress in patients with MDR-TB compared to patients with chemosensitive TB using the DAS-21R questionnaire. Methodology: The study included 244 patients diagnosed with pulmonary TB over a 10-year period. In these patients, the DAS-21R questionnaire was used and comparatively analyzed to determine the prevalence of psychiatric symptoms in patients with MDR-TB compared to those with drug sensible TB (DS-TB). Results: The analysis revealed significantly higher rates of extreme anxiety (60%), major depression (19%) and severe stress (20%) in MDR-TB patients compared to patients with drug-sensitive TB. Conclusions: The results show that there is an urgent need for screening and management of depression and anxiety in the treatment of MDR-TB. Integration of psychosocial services into TB control programs can significantly reduce distress and improve treatment of this severe form of TB.
Considerations Over Cerebral Toxoplasmosis and Other Cerebral Disorders in HIV-Infected Patients
Authors: Istrate Raluca-Ileana Rosioru , Rosioru Veronica-Violeta , Petcu Lucian Cristian , Rugina Sorin
Published: July 2024

Objectives: Cerebral toxoplasmosis is an opportunistic infection often seen in people living with HIV/AIDS. This research aims to determine how risk factors and associated diseases modify the evolution and prognosis of HIV-infected patients with cerebral toxoplasmosis. Methods: We conducted a case-control, observational, retrospective study. The research enrolled 94 patients with HIV-related cerebral toxoplasmosis at the Infectious Diseases Clinic, split into two sample groups. The first sample group included 51 patients who were initially discovered with cerebral toxoplasmosis and only afterward tested and confirmed HIV-positive. The second sample group of 43 patients were diagnosed as HIV-positive from the beginning and subsequently developed cerebral toxoplasmosis due to non-adherence to treatment. Results: The first sample group, discovered first with cerebral toxoplasmosis and only later diagnosed as HIV-positive, had a higher probability of death, mainly due to an advanced state of HIV disease. Therapy adherence in both sample groups played a key role in immune restoration status and long-term survival. Conclusions: Comparative analysis of the sample groups highlights the importance of early diagnosis of cerebral disease at the first neurological symptoms and signs. Early initiation of antiparasitic and antiretroviral therapy has proven to be decisive for favorable evolution and prognosis.
Efficacy of Drug Treatment Coalescing Surgical Treatment in Hepatic Hydatid Pathology
Authors: Costea Daniel-Ovidiu , Doicescu Dragos Nicolae , Sarbu Vasile , Popescu Stere , Neacsu Sabina-Maria , Popescu Tina , Doicescu Alexandra Ioana , Grigorescu Ana-Maria , Costea Cristina-Andreea
Published: July 2024

This article aimed to quantify the characteristics of antiparasitic drug treatment coalescent to surgical treatment in hepatic hydatid cyst. The therapeutic management of hepatic hydatid disease is not yet standardized, hence the absence of the ideal technique with applicability in a specific situation and whose outcome is permanently the same.

Hydatid pathology is remarkably heteromorphic in terms of location in the human body but also in terms of the anatomopathological transformations it produces.

Hepatic hydatid cyst is a pathology far from being eradicated in developing countries, while in most developed countries, this disease is an exodus. Therefore, the discovery of the most suitable, effective and appropriate therapeutic means, which have rapid, effective and safe applicability, belongs to those who are still struggling with this pathology. Therefore the motivation and responsibility for finding the most effective, adapted and appropriate therapeutic means, which successfully pass the test of speed of cure, belongs to those who are still facing the liver disease.
Epileptic Seizures in People with HIV- Related Toxoplasmosis and Other Cerebral Disorders
Authors: Istrate Raluca-Ileana Rosioru , Petcu Lucian Cristian , Hangan Aurelia , Rugina Sorin
Published: July 2024

Objectives: This study analyzes the occurrence of epileptic seizures in HIV-infected patients with cerebral toxoplasmosis compared to those with multiple cerebral disorders, including cerebral toxoplasmosis.

Methods: We conducted a retrospective, observational study with 94 HIV-infected patients at Constanta Clinical Infectious Disease Hospital from 2003-2023. Patients were divided into two groups: 34 with cerebral toxoplasmosis and 60 with multiple cerebral disorders, including toxoplasmosis. Data were analyzed using IBM SPSS Statistics 25, and 3-hour EEGs were recorded for five patients to observe cerebral electrical activity.

Results: Generalized onset seizures occurred in 12.77% of patients. Of these, 18.33% were from the multiple disorders group (T+AC), and 2.94% were from the cerebral toxoplasmosis group. The risk of developing generalized seizures was significantly higher in the T+AC group (OR = 7.408).

Conclusions: Maintaining a good immune status in HIV-infected patients can prevent multiple cerebral disorders and associated epileptic seizures, reducing the risk of severe complications. Antiepileptic drugs with minimal interaction with HIV medications are recommended, and EEG is useful for diagnosis and treatment monitoring.
Quantitative Analysis of Secondary Bjerknes Forces in Various Liquids
Authors: Simaciu Ion , Borsos Zoltan , Drafta Viorel , Dumitrescu Gheorghe
Published: July 2024

Evaluating numerically the interaction forces between two free bubbles, under the action of a background of random acoustic radiation, we highlight the contributions of coefficients βs

0 and βa

0
= βu

0
+ βth

0 to the magnitude of these forces. The quantitative study of the forces is done for several fluids, as different as possible in terms of properties: water, mercury, liquid helium, and superfluid helium. These forces are evaluated, for different radii of the oscillating bubbles, R
0 = ⎡10−1 − 10−10⏋ m, that the scattering–absorption forces and the scattering–scattering forces are close in magnitude. For water, mercury and liquid helium, the force ratio is in the range fa
∈ (10−3 −1). For superfluid helium, the forces change direction, oscillating, and the ratio of the forces is much less than one, |fa
| 1.
Evaluating Demographic Profiles and Competency Levels of Local Builders in Residential Construction
Authors: Sigdel Sandesh , Subedi Pragya
Published: July 2024

This research has investigated and evaluated the demographic profile and competency levels of local builders involved in residential building construction sites at Nawalparasi East, Gandaki province, Nepal. The construction industry is a cornerstone of Nepal’s economic development. The reliability and quality of construction heavily depend on the local builder’s capability to execute the work on the basis of technical and skills proficiency. This study aims to ascertain the status of local builders regarding their competency levels and their construction work profiles on the basis of work experience. The research employs a questionnaire approach, combining quantitative and qualitative data collection techniques. A field survey is administered to local builders to evaluate their demographic profiles, technical skills and knowledge as well as their construction site experiences. The findings of this study reveal what local builders are good at and where they need to improve in residential construction. The results of this research are meant to help construction entrepreneurs, industry players, and local-level authorities come up with plans to boost the local builders and categories them as per their ability and strength. The outcome of the alternate hypothesis indicates that, concerning local builders, there is substantial evidence suggesting that at least one characteristic significantly varies from the others.
Work Motivation under Communist Rule: Heritage from the Past in Modern Public Sector Organisations
Authors: Prysmakova Palina
Published: July 2024

Applying retrospective design methodology, the article adds to our knowledge about inherited organisational values and their impact on management policies and practices. Questioning the label of Central and Eastern European workforce as low-motivated, shirking and passive, this article outlines the historical context of work motivation in former communist countries, investigating to what extent the motivation in public service organisations today may be explained by the past. It employs a framework developed by Vandenabeele et al. (2013) that connects management intentions to organisational and employee outcomes to analyse the malfunctions of the former rewards system and to examine how those impairments continue to influence public sector motivation today.

Confirming Inglehart’s ‘scarcity’ theory, this article demonstrates that the several decades that passed after the fall of communism were insufficient in completely overcoming communist heritage. Malfunctions of the centralised communist motivation system resulted from the discordance between the management intentions and actions. Dysfunctions of monetary-based incentive schemes caused overwhelming work lethargy of shirking employees, who were discouraged from being creative or displaying initiative. Such patterns have still been observable at some public organisations in former Soviet countries. Thus, the past centralisation of the state continues to determine individual work motivation in public sector domains even today.
Design and Development of Dual Band Millimeter Wave Substrate Integrated Waveguide Antenna Array
Authors: Santhakumar G , Muthukumar R
Published: July 2024

New communication paradigms have emerged to make better use of the available wireless spectrum due to its scarcity. Millimeter wave high-frequency spectrum could offer a viable solution to the problem of spectrum scarcity. Millimeter wave devices and antennas are becoming increasingly popular and are used in a wide variety of applications and planned Fifth Generation (5G) wireless communication networks. In this work, we develop a Substrate Integrated Waveguide (SIW) based antenna array and millimeter-wave feeding network with the aim of achieving optimal performance. A microstrip array antenna is developed for use at millimeter wave frequencies of 28 GHz and 38 GHz. Next, an SIW array antenna will be created. For high-frequency uses, SIW technology excels due to its low loss, easy integration and high quality factor. The two unequal longitudinal slots in a slotted SIW antenna cause the structure to resonate at 28 GHz and 38 GHz. The SIW structure is fabricated by making two parallel rows of metallic vias, carefully determined through sizes to ensure minimal internal losses. A microstrip line that transitions into a SIW feeds into the proposed layout. In this paper, the authors investigate the design and construction of an integrated waveguide antenna array for use at dual millimeter-wave frequencies.
Research on the Measurement System and Remote Calibration Technology of a Dual Linear Array Camera
Authors: Feng Bin , Liu Zaiming , Zhang Haofei , Fan Haozhe
Published: July 2024

In order to accurately measure the flight trajectory of the projectile in a long-distance target range, it is important to establish a vertical target measurement system with a two-line array camera at several positions along the range. In the present work, a calibration system using dual theodolites is proposed to calibrate the vertical target measurement system of a dual linear array camera at different positions along a long target range. The present study investigates the principle of intersection measurement in the vertical target measurement system with a double linear array camera and presents the projectile’s target coordinate measurement formula. The calibration method of the measurement system is developed based on an analysis of the parameters in the projectile coordinate measurement formula. The calibration method only requires calibration of the camera’s distortion coefficient, the optical axis angle, and the principal point, ensuring a simplified and expedited calibration process. After calibration, the vertical target measurement system with a 3 m × 3 m measurement area is simulated and analyzed, yielding an error distribution diagram and identifying the factors that influence the measurement accuracy of the projectile’s target coordinates.
High-molecular-weight DNA extraction for broadleaved and conifer tree species
Authors: Krautwurst Melina , Eikhof Annika , Winkler Sylke , Bross Daniel , Kersten Birgit , Müller Niels A.
Published: July 2024

Plant genome sequencing based on long reads has increasingly been applied also to tree species in recent years. A crucial step in these genome projects is the successful extraction of high-molecular-weight DNA in high quality and sufficient quantity, which is imperative for long-read sequencing. The extraction of high-molecular-weight DNA in trees has been limited and difficult to conduct. To achieve successful extraction, modification of the protocol for tree species is necessary. Here, we present a protocol for high-molecular-weight DNA extraction from the broadleaved tree species Fraxinus excelsior and from the conifer species Taxus baccata. The protocol is based on nuclei isolation and is divided into two main steps, i.e. nuclei separation based on the nuclei isolation buffer and DNA extraction using the Nanobind® plant nuclei kit by Pacific Biosciences (PacBio). The protocol can be applied to different tree species to obtain high-molecular-weight DNA in high quality, which can be used for Oxford Nanopore Technologies (ONT) and PacBio sequencing. ONT sequencing using four high-molecular-weight DNA preparations from Fraxinus excel-sior resulted in different read length N50 values (12.91-38.19 kb) and total base output (5.81-23.17 Gb), emphasizing the complex nature of the sequencing pipeline of high-molecular-weight DNA. PacBio HiFi sequencing of Taxus baccata produced circular consensus sequencing reads with an average length of 12.9 kb and an N50 of 13.59 kb. Altogether, this study presents a protocol to obtain high-molecular-weight DNA from different challenging tree species and discusses several important points that can be considered when adapting the protocol to additional species.
Peran Interaksi Simbolik Marketing dalam Melakukan Strategi Komunikasi Pemasaran Produk Packaging PT Ashley Jaya Pratama
Authors: Bagus Susila Anwen , Adi Pribadi Muhammad
Published: July 2024

In communication science, one of the things that is very close to real work is marketing a product or service. Symbolic interaction is how humans understand each other. Communication strategy is an important thing used in the corporate world, especially as Marketing PR to convey information and product ideas. Relationships between marketing and consumers are very much needed in companies in order to establish better relationships and build comfort between the two parties and the company. Apart from that, Marketing PR is also useful for maintaining a good image of the company among the public. Therefore, the aim of this research is to determine the role of symbolic interactions in Marketing PR communication strategies in marketing PT Ashley Jaya Pratama's packaging products. This research uses qualitative research methods, interviews with internal parties and connecting with symbolic interactions.
Dalam ilmu komunikasi salah satu yang sangat dekat dengan dunia profesional adalah marketing communication. Di sana terdapat proses interaksi simbolik, yakni bagaimana manusia memahami satu sama lain kewat simbol-simbol komunikasi. Sebagai sebuah  proses komunikasi untuk mencapai tujuan tertentu, maka diperlukan sebuah strategi, yakni strategi komukasi. Strategi komunikasi adalah hal penting yang digunakan dalam dunia Perusahaan khususnya sebagai marketing public relation (MPR) untuk penyampaian informasi dan gagasan produk. Hubungan antara pihak marketing dan konsumen sangat dibutuhkan dalam perusahaan guna menjalin hubungan yang lebih baik dan membangun kenyamanan antar dua pihak. Selain itu MPR juga berguna untuk menjaga citra baik Perusahaan antar khalayak. Oleh karena itu tujuan dari penelitian ini adalah untuk mengetahui peran interaksi simbolik strategi komunikasi MPR dalam memasarkan produk packaging PT Ashley Jaya Pratama. Penelitian ini menggunakan pendekatan penelitian kualitatif, wawancara dengan pihak internal dan menghubungkan dengan interaksi simbolik. Hasil penelitian menunjukkan, dengan menggunakan strategi pemasaran, perusahaan menciptakan hubungan dengan konsumen dengan tujuan memperoleh kepercayaan dan kenyamanan selama proses penawaran atau pemasaran produk.