bluuebunny/crossref_metadata_2025 huggingface dataset:
Síntesis de Catalizadores de Pd/Titanato de Sodio para la HDO del Fenol
Authors: Angeles Chávez Carlos , Toledo Antonio José Antonio , Jiménez Rodríguez Juan Carlos , Cervantes Arista Jaime Ignacio , Chavarría Escamilla Hervey Gamaliel , Cortés-Jácome María Antonia
Published: October 2024

La modificación del equilibrio ecológico causado por el cambio climático producto de la emisión de gases de efecto invernadero ha deteriorado sustancialmente la calidad de vida en nuestro planeta. Detenerlo o revertirlo, obliga a buscar fuentes alternas de combustibles líquidos eco-amigables. La pirolisis de la biomasa lignocelulósica es una alternativa, sin embargo, el bioaceite generado contiene una gran cantidad de heteroátomos de oxígeno que baja su poder calorífico. Por lo tanto, diseñar catalizadores altamente eficientes para la hidrodesoxigenacion (HDO) de los compuestos oxigenados es de vital importancia. Aquí reportamos la síntesis de catalizadores para la HDO del fenol dispersando nanopartículas de Pd en nanoestructuras de titanato de sodio y por heteroesamblado de Pd con película de nitruros de carbono a partir de la impregnación con urea.  Este catalizador reportó alta eficiencia catalítica transformando el 100% de fenol en ciclohexanona y benceno a diferencia de los otros catalizadores preparados de forma convencional donde solo el 70% del fenol se transformó en ciclohexanol, ciclohexeno y hexano.
Caracterización ambiental y edafológica de la Unidad Profesional Multidisciplinaria “Miguel Hidalgo y Costilla”
Authors: Escudero Villegas Juan Francisco , Hernández Vallecillo Gabriel Alejandro , Barragán Maravilla Sandra Monserrat , Sánchez Guzmán Patricio , Ayala Niño Fernando , Fabila Bustos Diego Adrián , Hernández Chávez Macaria
Published: October 2024

El presente artículo tiene como finalidad dar a conocer el proceso de obtención de un monolito de suelo implementando una metodología tradicional basada en el trabajo de Van Baren, J.H.V. & W. Bomer (1979), colectado dentro de la Unidad Profesional Multidisciplinaria “Miguel Hidalgo y Costilla”, ubicada al noroeste de la ciudad de Pachuca de Soto, Hidalgo. De la misma manera, pretende demostrar la importancia que tiene este tipo de práctica al realizar evaluaciones en la calidad del suelo y poder conocer su capacidad para sostener la vida vegetal y animal. 
El monolito recolectado será procesado para su posterior incorporación al Museo Nacional de Suelos (MNS), localizado en el Colegio de Postgraduados (Campus Montecillo), el cual contará con una breve descripción de sus características morfológicas, así como aspectos generales, desde la ubicación de recolección hasta sus características físicas, químicas y de aprovechamiento. Asimismo, el siguiente articulo pretende servir de apoyo en la caracterización ambiental y edafológica del sitio del trabajo.
Proceso de Impresión por Inyección Piezoeléctrica de Tintas de Ag y MoO3, Enfocado a su Aplicación en Celdas Solares Orgánicas
Authors: Garduño Salvador Ivan , Santos Hernández Cecilio , Sánchez Vargas Flor Cecilia , Reyes Valderrama María Isabel , Rodríguez-Lugo Ventura , Estrada Magali
Published: October 2024

Recientemente, la tecnología de impresión ha ofrecido una herramienta fundamental para el desarrollo de celdas solares fabricadas con materiales sustentables y sobre sustratos flexibles. Sin embargo, persisten diferentes retos por superar para mejorar el desempeño de estos dispositivos opto-electrónicos, como el control en la uniformidad del área impresa mediante los diferentes factores que influyen en el proceso. Por tales motivos, en este trabajo se estableció un proceso básico para la impresión por Goteo-Sobre-Demanda (DoD) de tintas comerciales de plata (Ag) y de trióxido de molibdeno (MoO3), formando directamente patrones con diferentes resoluciones. Esto se consiguió al aplicar una configuración del equipo de impresión que permite un modo DoD continuo, uniforme y repetible, además de las condiciones apropiadas durante el proceso y posterior a éste, y las caracterizaciones de algunas de sus propiedades. Derivado de este estudio, se dispone de una secuencia tecnológica general para mejorar los patrones impresos de Ag y MoO3 y su potencial aplicación en celdas solares orgánicas.
Desarrollo de películas adsorbentes y fotocatalíticas de TiO2-acetato de celulosa
Authors: Estrada Flores Sofía , Herrera Pérez María Fernanda , Avalos Cárdenas Mariana , Martínez-Luévanos Antonia , Aguilera González Elsa Nadia
Published: October 2024

El objetivo de este trabajo fue la obtención de un material de óxido de titanio-acetato de celulosa (TiO2-AC) en forma de película, con propiedades adsorbentes y fotocatalíticas. Se utilizó azul de metileno (AM) como modelo en las pruebas de adsorción y fotocatálisis bajo irradiación solar. Los resultados de la caracterización morfológica y óptica de las muestras indican que se obtuvieron películas blancas, flexibles y porosas, con un band gap de 3.15 eV. Los resultados de la caracterización química y estructural indican que la película es un composito TiO2-AC, resultando de la interacción entre los grupos acetil del polímero y el grupo tinalol del TiO2. Los resultados de la evaluación de las nanopartículas de TiO2 y de la película TiO2-AC indican que la adsorción de AM es bien modelada por la isoterma de Langmuir. Los valores de las constantes de velocidad de remoción de AM son mayores en un orden de magnitud que los valores de las constantes de velocidad de fotodegradación, debido a la funcionalidad dual adsorbente/fotocatalizador de ambas muestras.
Gambling Industry Strategies to Influence the Reform of State Online Monopolies
Authors: Sama Thomas Babila , Hiilamo Heikki
Published: October 2024

The aim of this qualitative study was to investigate the strategies used by the gambling industry to influence the reforming of the state online monopoly into a licensing system in Sweden in 2019, and to weaken state online monopoly in Finland. Methodologically, this study used primary data from 9 expert interviews in both countries and secondary data from prior literature, which were analyzed using thematic content analysis. The results identified five main political strategies used by the gambling industry: (1) Information, through lobbying politicians; (2) Constituency Building, through forming an alliance with interest groups; (3) Policy Substitution, through promoting alternative policies and self-regulation; (4) Legal Infringements; and (5) Regulatory Redundancy. The study concluded that the involvement of the gambling industry in policy-making influenced the change of the state online monopoly into a licensing system in Sweden in 2019 and is weakening the state online monopoly in Finland.
Borsaya Kote Şirketlerde Kâr Yönetimi: Panel Kantil Regresyon Analizi
Authors: Genç Mustafa , Yanık Ahmet
Published: October 2024

Bu çalışmada öncelikle Borsa İstanbul (BİST)’da faaliyet gösteren şirketlerin kâr yönetimlerinin göstergesi olan isteğe bağlı tahakkuk düzeylerinin belirlenmesi amaçlanmıştır. Bu amaçla faaliyette bulunulan sektörün, şirketlerin toplam tahakkukları üzerindeki etkileri de tespit edilmiştir. Sonrasında ise, şirketlerin kâr yönetimlerinin belirlenen bağımsız değişkenlere göre ne düzeyde değişim gösterdiği belirlenmiştir. Düzeltilmiş Jones Modeli’nin esas alındığı çalışmada, ilgili analizler panel kantil regresyon yöntemi ile gerçekleştirilmiştir. Çalışmanın örneklemini, 2010-2019 yılları arasında BİST’te kote ve reel sektörde faaliyet gösteren 165 şirket oluşturmuştur. Yapılan analizler sonucunda şirketlerin faaliyette bulundukları sektörlerin, şirketlerin toplam tahakkukları üzerinde anlamlı etkiye sahip olduğu belirlenmiştir. Aynı zamanda bu konuda yapılmış önceki çalışmalardan farklı olarak, çalışma kapsamındaki bağımsız değişkenlerin söz konusu şirketlerin kâr yönetimleri üzerindeki etkilerinin bağımlı değişkenin kantil düzeylerine göre hem etki yönü hem de etki gücü açısından farklılık gösterdiği gözlemlenmiştir.
ROLE OF SIGNALING MOLECULES – FACTORS OF MIGRATION AND ADHESION OF LYMPHOCYTES IN THE PATHOMORPHOSIS OF PULMONARY TUBERCULOMA
Authors: Leontyeva D. , Mironova E. , Krylova Yu. , Kvetnoy I. , Yablonsky P. , Drobintseva A.
Published: October 2024

Introduction. Tuberculosis is a socially significant disease, which is based on chronic granulomatous inflammation with the formation of fibrosis. The signaling molecules CD44 and ICAM-1 play an important role in the process of migration of immune cells from the bloodstream to the site of inflammation. CD44 is an integral cellular glycoprotein that plays an important role in cell-cell interactions, cell adhesion and migration. The strength of this interaction is ensured by the interaction of ICAM-1 with the LFA-1 antigen located on the surface of leukocytes. Thus, studying the expression levels of CD44 and ICAM-1 during the development of the tuberculosis process will expand our understanding of the involvement of immune cells in the pathomorphism of the disease. The purpose of the study was to study the expression of markers of migration and adhesion of lymphocytes CD44 and ICAM-1 at various degrees of inflammatory activity in pulmonary tuberculoma. Methods. The object of the study was tuberculoma, as a clinical form of pulmonary tuberculosis. Using immunohistochemistry and morphometry, the relative expression area of the CD44 and ICAM-1 proteins was determined depending on the degree of activity of the tuberculosis process. Results. The level of relative expression of ICAM-1 in granulomas did not differ significantly from the degree of activity of the tuberculosis process. A decrease in the level of CD44 expression was observed with the 4th degree of activity of the tuberculosis process (widespread active inflammatory changes with beginning progression). Conclusion. The expression level of ICAM-1 remained constant at all stages of tuberculoma pathomorphosis, while the CD44 expression level was significantly associated with the pathomorphosis of the disease, reaching minimum values at the 4th degree of activity of the pathological process. The data obtained indicate the constant involvement of ICAM-1 in the mechanisms of cell adhesion at all stages of granuloma formation. Low levels of CD44 expression in tuberculomas with grade 4 inflammatory changes reflect the cessation of migration of committed immune cells to the site of inflammation, thereby providing conditions for either stabilization of the pathological process by fibrosis of the granuloma, or, conversely, for the progression of the inflammatory process.
STRATEGI PENINGKATAN DAYA SAING UMKM PUJASERA PAKUALAMAN SHIFT SORE MELALUI INOVASI DAN KOLABORASI: MENUJU KEUNGGULAN KOMPETITIF DI PASAR
Authors: Listyawati Reni , Prastyatini Sri Lestari Yuli , Chaerunisak Uum Helmina , Safira Maghfirotus , Aini Syarivatul , Kharisma Enggar Dwi
Published: October 2024

This community service project aims to enhance the competitiveness and operational efficiency of Micro, Small, and Medium Enterprises (MSMEs) in the Pujasera Pakualaman Night Shift Unit, focusing on Lesehan Pakualaman Mbak Nila, Warung Anugerah, and Bakso Pak Riyanto. Through initial surveys and consultations with MSME vendors, several challenges, such as competition with similar products, payment issues, absence in e-commerce channels, and weather impacts, were identified. Implemented solutions include developing innovative menus, applying the Quick Response Code Indonesian Standard (QRIS) payment system, and integrating online ordering services. Training and empowerment processes were conducted to improve vendors' understanding of product innovation, digital payment technology, and e-commerce operational management. Implementing these solutions is expected to bring positive changes that strengthen the competitiveness and operational efficiency of MSMEs in Pujasera Pakualaman and contribute to local economic growth.
Development of Interactive Powerpoint-Based IPAS Learning Media on the Material of Plant Sources of Life on Earth for Class IV SD Negeri Tugurejo 02 Semarang City
Authors: Nurani Marsya Fatkhia , Tyas Dewi Nilam
Published: October 2024

This study was conducted to develop, test the feasibility and effectiveness of interactive powerpoint-based IPAS learning media on the material of Plant Sources of Life on Earth to improve student learning outcomes. This research uses the ADDIE model. The sampling technique used nonprobability sampling technique, namely purposive sampling. Data collection techniques through tests and non-tests. The results of the product validation test by media expert validators obtained a percentage of 93.3% in the "Very Feasible" category and through material expert validators obtained a percentage of 92% in the "Very Feasible" category. This is reinforced by the responses of teachers and students in the product trial obtained a percentage of 100% in the "Very Feasible" category. Through the paired sample t-test test shows a sig value. (2-tailed) 0.000 is smaller than 0.050 so that the learning outcomes on the pretest and posttest are significantly different and the N-Gain Test shows a value of 0.69 and 0.65 which is included in the "Moderate" category. It can be concluded that through this research, an interactive powerpoint-based learning media has been developed which is feasible and effective to improve the learning outcomes of fourth class students of SD Negeri Tugurejo 02 Semarang City
Chemistry Teachers’ Self-efficacy for Using Information and Communication Technology: A Survey Cross Sectional
Authors: Yanti Insani Efrili , Sutrisno Hari
Published: October 2024

The utilization of ICT in education could be further optimized due to the low self-efficacy of teachers. Teachers' years of teaching experience and the status of their schools have an influence on their ICT self-efficacy. This study aims to describe the differences in ICT self-efficacy among chemistry teachers based on their teaching experience and school status. This study used a quantitative approach with a cross-sectional survey method. The research was conducted in 31 high schools in Pekanbaru City and included a randomly selected sample of 50 chemistry teachers. The research instruments consisted of ICT self-efficacy questionnaires 14 items. ICT self-efficacy instrument declared valid and reliable using the Rasch model test. Additionally, interview data were employed to reinforce the findings from the questionnaire. The research questionnaire data underwent processing using analysis descriptive statistics and a two-way ANOVA test with SPSS. The results of the research show that there is a significant difference in the ICT self-efficacy of chemistry teachers based on the teacher's teaching experience with significance level of 0.005 and there is no difference the ICT self-efficacy of chemistry teachers based on school status with significance level of 0.783. The effect size test shows that the partial eta square value for the effect of teaching experience belongs to the high category while school status belongs to the low category.
Profile of Science Literacy and Cultural Awareness of Students and the Need for Science Teaching Materials Integrated with Local Potential of STEAM-PBL Based Petis in Sumenep
Authors: Kamila  , Wilujeng Insih , Rahmawati Laifa
Published: October 2024

Science literacy is a must have ability for students in the 21st century and cultural awareness is needed so that students can selectively choose outside cultures. However, in Indonesia science literacy and cultural awareness are low. This study aims to determine the profile of science literacy and cultural awareness of students and the need for STEAM-PBL-based local potential integrated science teaching materials. This research is a descriptive research. The research sample amounted to 93 junior high school students in 3 Sumenep District schools selected by purposive random sampling technique. Data collection used tests to measure science literacy, questionnaires to determine cultural awareness and need STEAM-PBL-based local potential “petis” integrated science teaching materials. Data analysis using quantitative descriptive analysis techniques. The results showed; 80.65% of students were in the low category and 19.35% were in the medium category, the lowest student ability was to explain phenomena scientifically; 88.17% of students' cultural awareness was in the low category and 11.83% of students were in the medium category. Based on the results of the study, it is concluded that students' science literacy and cultural awareness are low and it is necessary to develop teaching materials integrated with the local potential of STEAM-PBL-based petis.
Development of an Automatic Portable Calibrator for Tipping Bucket Rain Gauge (TBRG) Using a Load Cell and Simple Water Sensor
Authors: Rohmah Dani Zulfia , Jasruddin  , Subaer  , Utomo Bagus Satrio
Published: October 2024

The tipping bucket rain gauge is an automatic rain gauge that can measure rain intensity in mm/hour. Accurate measurement of rain intensity requires calibration of the rain gauge to ensure traceability. Calibration of a tipping bucket rain gauge is related to the volume of water as a calibration medium and time so as to produce a discharge that can be converted into rain intensity. Technological developments can make tipping bucket rain gauge calibration automatic by utilizing an Arduino Mega2560 microcontroller, a load cell and a simple water sensor based on the LM393 comparator IC, and combined with a compact design printed using a three-dimensional printer so that it can be used for ex-situ calibration. The data produced by this tool can be downloaded via the application that was built and produces a file in Excel form.
Design and Construct of Magnetic Induction and Force Practicum Tools to Improve Science Process Skills
Authors: Basir Muhammad , Setiawan Andhy , Chandra Didi Teguh
Published: October 2024

The purpose of this study was to design and construct magnetic induction and force practicum tools (AlPrIGMa) to improve science process skills. This research belongs to Research and Development (R&D) research using the Hannafin & Peck development model which consists of three main stages, namely need assessment, design, as well as development and implementation. The research instruments used in this research include expert validation sheets, student response sheets, science process skills observation sheets, and science process skills test questions. The results of the assessment undertaken by 3 experts showed a percentage of tool feasibility of 89.3% with a very feasible category. In addition, the response from 10 students after testing the tools obtained an average percentage of 83% in the very good category.  The results of the application of the tools showed that there was an increase in each aspect of science process skills with an average N-gain score of 0.71 in the high category. Based on the effectiveness test, the independent t result is 0.009 < alpha value (0.05), which shows that AlPrIGMa is proven effective in improving science process skills.
Improving Students' Science Literacy Skills through Treasure Hunting Games with Problem Based Learning Model
Authors: Febianti Farah Albi , Sukmawati Wati
Published: October 2024

This study aims to evaluate the impact of the Problem Based Learning (PBL) model with a treasure hunt game strategy on improving students' scientific literacy skills. The research method employed a quasi-experimental approach with a pretest-posttest control group design. The subjects consisted of two classes: an experimental class implementing the PBL model with the treasure hunt game strategy and a control class using conventional teaching methods. Data were collected through scientific literacy tests administered before and after the intervention and analyzed using stacking and racking analysis based on the Rasch Model. The results indicated that both classes experienced an increase in scientific literacy skills, with the experimental class showing a higher average increase of 1.99 compared to the control class's 1.80. Although the percentage difference in improvement was only about 11.24%, this suggests that the PBL method with the game strategy can provide additional positive contributions to science learning. The discussion highlights the importance of proper method implementation, teacher-student interaction, and learning environment conditions in influencing learning outcomes. In conclusion, while the PBL method with the game strategy is effective in enhancing scientific literacy, a holistic approach is still needed for optimal development of students' abilities.
Exploration of Microalgal Role as Bioindicator to Evaluate Water Quality in the Waters of Desa Sungai Nibung West Kalimantan
Authors: Safitri Ikha , Sofiana Mega Sari Juane
Published: October 2024

The coastal area of Desa Sungai Nibung is a conservation area with high biodiversity. This area has been used for various activities, such as capture and aquaculture fisheries, shipping traffic, and tourism. These activities could affect the waters, ecosystems, and biodiversity condition. Water quality is determined by several parameters, which one of the bioindicators is microalgae. The presence of certain microalgae contributes to the change in the color of the water which indicates the presence of HABS phenomenon. Therefore, this study aimed to determine the composition of microalgae in the waters of Desa Sungai Nibung. Water samples were taken by purposive sampling method in 5 stations with different environmental characteristics. Each station was taken surface water using a plankton net. Microalgae in the samples were then observed with a microscope and their abundance was calculated. The composition of microalgae consisted of 22 genera, belonging to Bacillariophyceae (14 genera), Dinophyceae (7 genera), and Chlorophyceae (1 genus). The Bacillariophyceae dominated the waters with a percentage of 63.66%. Microalgae abundance ranged from 3.94-7,329.25 ind/L with oligotrophic and mesotrophic categories. The diversity index was low to medium (0.74-1.78), Evenness index was low to medium (0.31-0.66), and dominance index was low to high (0.24-0.74).
Trends Research Synthesis of TiO2 Thin Films as Solar Cell Materials (2015-2024): A Systematic Review
Authors: Doyan Aris , Susilawati  , Taufik Muhammad
Published: October 2024

Research in the field of solar cells continues to increase along with the development of the times and human needs for renewable energy sources. One of the fields of study that is often used as a research topic is the development of Thin Film Solar Cells or known as Thin Film Solar Cells (TFSC). This research aims to identify and analyze research trends of synthesis of TiO2 thin films as solar cell materials. This research method is descriptive and analytical. The data used in this research was obtained from documents indexed by Google Scholar from 2015-2024 using Publish or Perish and Dimension.ai. Research procedures use PRISMA guidelines. The data identified and analyzed are the type of publication, publication source, and the title of research on synthesis of Ti02 thin films as solar cell materials that is widely cited. The data analysis method uses bibliometric analysis assisted by VOS viewer software. The results of the analysis show that research trend on synthesis of TiO2 thin films as solar cell materials indexed by Google Scholar from 2015 to 2024 has experienced increases and decreases. There are many documents in the form of articles, proceedings, chapters, preprints, monograph and edited books that discuss research about synthesis of TiO2 thin films as solar cell materials. Key words that are often used in research about it are dye sensitized cell, electrode, electron, characterization, etc.
The Influence of Problem Based Learning Assisted by Interactive Worksheets on Critical Thinking Ability in Science Learning for Class V Students at SDN Batu Ampar 09 Pagi
Authors: Nurfauziah Difah , Mayarni
Published: October 2024

This research aims to evaluate the impact of the Problem Based Learning model supported by Interactive Worksheets on students' critical thinking abilities in science learning. The research method used in this research is quasi-experimental. The research results show that the results of the Independent Sample t-test analysis show that there are differences in the posttest scores for the control class and the experimental class. This shows that the Problem Based Learning model has an influence on students' critical thinking skills at SDN Batu Ampar 09 Pagi. Increased critical thinking skills because the implementation of each PBL syntax was carried out in accordance with the design prepared by previous researchers which was demonstrated based on the results of observations.
Research-Oriented Collaborative Inquiry Learning (REORCILEA) Model: Improvement of Students' Critical Thinking Ability and Collaborative Skills in Thermochemistry of Materials
Authors: Wulandari Titis , Rohaeti Eli
Published: October 2024

This quantitative quasi-experimental study with a posttest-only control group design aimed to analyze differences in critical thinking ability and collaborative skills between students using a research-oriented collaborative inquiry learning model and those using a scientific approach in thermochemistry materials. Conducted with four classes XI MIA students in Pekanbaru, divided into experimental and control groups, the study used essay tests and observation sheets as instruments, with data analyzed via MANOVA. The research findings indicate that: (1) there are differences in critical thinking ability and collaborative skills between students using the research-oriented collaborative inquiry learning model and students using the scientific approach in thermodynamics material; (2) there is a difference in critical thinking ability between students who followed the research-oriented collaborative inquiry learning model and students who followed the scientific approach in thermodynamics material; (3) there is a difference in collaborative skills between students who followed the research-oriented collaborative inquiry learning model and students who followed the scientific approach in thermochemistry material.
Trends Research Problem Based Learning (PBL) Model to Improve Generic Science Skills in Students' Science Learning (2015-2024): A Systematic Review
Authors: Doyan Aris , Rahayu Satutik , Lugi Fitirana , Annam Syarful
Published: October 2024

Generic science abilities are abilities that students must have so that the knowledge and skills obtained in the learning process can be applied in everyday life and answer the challenges of an increasingly developing era. Generic science skills can be facilitated through learning with a Problem Based Learning (PBL) model. This research aims to identify and analyze research trends of PBL model to improve generic science skill in science learning. This research method is descriptive and analytical. The data used in this research was obtained from documents indexed by Google Scholar from 2015-2024 using Publish or Perish and Dimension.ai. Research procedures use PRISMA guidelines. The data identified and analyzed are the type of publication, publication source, and the title of research on PBL model to improve generic science skill in science learning that is widely cited. The data analysis method uses bibliometric analysis assisted by VOS viewer software. The results of the analysis show that research trend on PBL model to improve generic science skill in science learning indexed by Google Scholar from 2015 to 2024 has experienced a fluctuating increase. Research trend with an increase in the number of publications from 2015 to 2018. However, in 2019 and 2022 the research trend on the generic science ability in learning has decreased from the previous year and the research trend increase again in 2023. There are many documents in the form of articles, proceedings, book chapters and edited books that discuss research about Problem Based Learning model to improve generic science skills in science learning. Key words that are often used in research of generic science are critical thinking, e module, science learning, PBL, etc.
Development of Discovery Learning-Based E-LKPD to Enhance Students' Learning Motivation and Achieve Critical Thinking Skills in Salt Hydrolysis Material
Authors: Hayyun  , Haldun Ibnu , Winarni Sri
Published: October 2024

This study aims to evaluate the viability, practicality, and effectiveness of based on discovery learning (E-LKPD) in raising students' motivation to learn and cultivating their critical thinking abilities (CTS). This study adopts a quantitative methodology by utilizing the research and development (R&D) technique and the Borg and Gall model. Sixty-two students from SMA Negeri 1 Baitussalam's class XI make up the study sample. The average results of the viability test for the E-LKPD, reviewed from the aspects of material completeness, accuracy, currency, and alignment with objectives, obtained a percentage of 91.25% with the criterion of "very feasible." Meanwhile, the practicality of the E-LKPD based on the responses from students and teachers achieved average percentages of 87.38% and 82.5%, respectively, with the criterion of "very practical." The effectiveness assessment of the E-LKPD, based on non-test results of learning motivation with an N-Gain percentage of 0.56 and the students' CTS test results with a completeness percentage of 79.48, falls under the criterion of "quite effective." Therefore, it can be concluded that this discovery learning-based E-LKPD is viability, practicality, and effectiveness in enhancing learning motivation and achieving students' critical thinking skills (CTS).
Development of Project Based Learning E-Module on Salt Hydrolysis Material to Improve Student Learning Outcomes
Authors: Nopita  , Fadhilah Raudhatul , Kurniati Tuti , Mukhlishin Hamdil
Published: October 2024

The conventional printed modules used in schools have not been able to make students active and understand chemical concepts. Therefore, it is necessary to develop an interactive multimedia-based e-module grounded in Project Based Learning (PjBL), equipped with videos, images, and interactions to engage students and facilitate easier comprehension of chemical materials. The iam of this study is to improve the learning outcomes of class XI Science Muhammadiyah 1 High School Pontianak. The method used in this research is development (research and development) employing the ADDIE model, which includes the stages of (analysis, design, development, implementation, and evaluation). The research findings indicate very high criteria with an average validity coefficient of 0.93 for each aspect of media, materials, and language. The practicality analysis, based on the response questionnaires from the small group trial and the main field trial, showed practicality values of 71% and 74%, respectively, both with practical criteria. It can be concluded that the project based learning e-module developed is feasible to be used as an effective and practical learning tool for XI Science students and chemistry teachers in high schools.
The Effect of Learning Cycle 5E Model on the Scientific Literacy of 10th Grade Students
Authors: Muliana Ayu , Jufri A. Wahab , Bahri Syamsul
Published: October 2024

This study aims to determine the effect of the Learning Cycle 5E model on the scientific literacy of tenth-grade students at SMA Negeri 2 Labuapi in 2024. This research employs a quasi-experimental design with Pre-Test and Post-Test Non-Equivalent Control-Group. The study population comprises 92 students divided into four classes (XA, XB, XC, XD). Random sampling was used to select two classes as the sample, totaling 44 students, with class XC as the experimental group and class XB as the control group. The instrument used was essay-type questions. Data on students’ scientific literacy were collected from the Pre-Test and Post-Test results in both classes and analyzed using the Mann-Whitney test at a 5% significance level with SPSS 16.0. The test results indicated a p value of <0.05 (0.024<0.05), suggesting that the Learning Cycle 5E model has a significant effect on students’ scientific literacy.
Biological Analysis of Factors Influencing the Acceleration of Menopause Age in Indonesian Women
Authors: Nursitiyaroh  , Sari Rosfika , Martiani Dian , Jayanti Erta , Rahma  , Aryanti Ririn , Nurdianah Siti , Komalasari Desi , Rini Diah Mustika , Liawati Emi , Widayati Irna , Megawati Sustini
Published: October 2024

Menopause marks the end of a woman's menstrual cycle, typically around age 51 in Indonesia. Early menopause, before age 45, increases the risk of cardiovascular disease, osteoporosis, and mental health issues. This study examined factors affecting menopause age, including BMI, excess weight, menstrual disorders, genetics, collagen supplement use, diabetes history, parity, hormonal contraception, age at menarche, fast food consumption, and nutritional status. Data from 1683 menopausal women were collected through questionnaires, BMI calculations, and analyzed using chi-square tests with SPSS 25. Results showed no significant influence of BMI, excess weight, genetics, collagen supplements, diabetes, fast food, or nutritional status on menopause age (p > 0.05). However, parity, hormonal contraception, age at menarche, and menstrual disorders significantly influenced menopause timing (p < 0.05). These findings offer insights for improving women’s reproductive health and guiding preventive measures.
Isolation and Identification of Swan (Cygnus olor) Digestive Tract Cellulothic Bacteria to Support Fiber Degradation
Authors: Rosyidi Muhammad Subhan Bahruddin , Ali Muhammad , Wariata Wayan , Kisworo Djoko , Khairunnisah  , Salma Qothrunnada Amira , Mursyid Muhammad Hipzul
Published: October 2024

Cellulolytic bacteria are bacteria that produce cellulase enzymes capable of degrading cellulose substrates. This study aimed to isolate and identify as well as measure the cellulase enzyme activity of cellulolytic bacteria isolated from the digestive tract of swans (Cygnus olor) in Mataram. The bacteria were isolated using de Man Rogosa Sharpe (MRS) selective media with the spread plate method. Then, the extracellular enzyme activity test was conducted by growing selected pure isolates on 1% Carboxy Methyl Cellulose (CMC 1%) media, followed by pouring 0.1% congo red solution and rinsing with 1M NaCl solution to determine cellulolytic activity (cellulolytic potential indicated by the appearance of a clear zone around the colony) and measuring the cellulolytic index. The bacterial isolation results obtained 4 isolates with the potential to support fiber degradation in animal feed. The highest cellulolytic index was produced by the isolate coded S1, reaching 34.5 mm, while the lowest cellulolytic index was produced by 2 isolates coded J21 and I2, reaching 18.8 mm.
Training on Developing CPS Learning Models Using REACT for Science Teachers in Southeast Maluku Regency
Authors: Tuhurima David , Wenno Izaak Hendrik , Malawau Seska , Dulhasyim Ashari Bayu
Published: October 2024

This community service program (PKM) has the aim of implementing the development of a creative problem solving (CPS) learning model using...Relating, Experiencing, Applying, Cooperating, Transferring(REACT) in science learning that is produced towards aspects of improving student achievement, support for the implementation of junior high school science teacher duties, especially in student-oriented learning design in combining theory and practice, implementing practicums and evaluating science learning outcomes in Southeast Maluku Regency. The expected benefits in this PKM are to motivate teachers to be creative in designing and preparing learning devices in the classroom and laboratory that are oriented towards students based on the environment, so that the learning process can take place properly. While for students, it can provide a clear understanding of the material presented by the teacher, so that students are able to find explanations and provide responses to what they are learning. In addition, students are trained to find out for themselves what they observe and try to describe the concept through student worksheets prepared with the help of the CPS learning model using REACT. Therefore, the CPS learning model using REACT in science learning that is designed is collaborated with several methods, namely reflective lectures, discovery, inquiry, demonstrations and questions and answers and recitations to express various concepts that are being studied in class and can be applied in everyday life
An Efficient Algorithm for Automated Skin Lesion Detection: A Non-Machine Learning Approach
Authors: Lateef Albukhnefis Adil
Published: October 2024

Skin lesion detection is a very important task in medical applications such as disease diagnostic and cancer detection. This paper suggests an efficient algorithm for skin lesion detection relying on advanced image processing techniques without using machine learning or deep learning algorithms. A set of algorithms is proposed to enhance traditional image processing methods to scrutinize dermatological images, concentrating on melanoma detection.  The proposed method combines color space transformation, contrast enhancement, active contour segmentation. ABCD criteria (Asymmetry, Border irregularity, Color variegation, and Diameter) is used in feature extraction. The approach is evaluated on the ISIC (International Skin Image Collaboration) 2020 dataset, accomplishing an accuracy of 84% in differentiating between malignant and benign skin lesions. The results indicate the potential of non-machine learning techniques in dermatological image analysis, providing computationally efficient and interpretable alternative to data-intensive deep learning algorithms.
Secret Sharing Schemes for Data Protection and Secure Communication: A Review
Authors: Basil Mageed Ahmed , E. George Loay
Published: October 2024

Secret sharing, also one of the significant concepts, plays a vital role in computer science for guaranteed data security and secure communication with advanced digital security demands. This paper focuses on theoretical aspects, historical development, and various schemes of secret sharing using Shamir's polynomial-based and Blakely's geometric methods. Indeed, this importance in modern security is difficult to underestimate. It is based on a comprehensive literature review and the effectiveness of schemes in access control, data storage, and secure communications. From the evaluation, it can be seen that secret sharing prevents unauthorized access and secures against single points of failure very effectively; therefore, it finds wide usage in various secure applications. From this study, it can be concluded that secret sharing is a very flexible and core tool in the field of information security with possibilities for improvement up to the challenge of developing technological threats. The nature of the problem being addressed is the increasing need for superior protection in safeguarding sensitive data in a growing digital world
Robust Face Recognition System Based on Deep Facial Feature Extraction and Machine Learning
Authors: Mohsin Al-Juboori Ali
Published: October 2024

Facial Recognition is a common challenge in research for security applications. Wide-ranging applications of this technology include biometrics, security data, access to controlled locations, smart cards, and surveillance systems. A practical approach to identifying individuals depends on factors such as partial face occlusion, illumination, age, expression, makeup, and poses. These complex face recognition variables affect most face recognition systems. In this paper, we propose a deep transfer learning for facial features based on the pose and illumination variations of celebrities’ faces in a free environment for face recognition. The new approach that combines deep learning methods for feature extraction with machine learning classification methods. Also, studies the performance of the pre-trained model (VGGFace2 with ResNet-50 model weights) for feature extraction with a Multilayer Perceptron Classifier (MLP), Decision Tree, and Bootstrap Aggregation (Bagging) to perform classification. The convolution neural network has lately achieved excellent advancement in facial recognition. The outcome indicated that VGGFace2 with MLP obtained more precision and provided the best results (Accuracy, F-measure, Recall, and Precision). The results for all metric for the proposed model is 99%. The benchmark for this model is a dataset of 105 people’s faces.
End-to-End Resource Allocation Management Model in Next-Generation Network: Survey
Authors: Hamza Abdulkadhim Azhar , Saeed Alfoudi Ali , Hussean Maghool Firas
Published: October 2024

Network communication has grown rapidly with massive demands of services. Moreover, resource allocation in networking is a fundamental and crucial issue that cannot ensure the network's stability and efficiency with the myriad requirements of different services. Various vertical businesses may seek varied network services, particularly in the Fifth-Generation networks and Beyond (5G+).  The pros of Fifth-Generation communication networks are to outperform 4G in performance by having higher bandwidth, minimum latency, more capacity, and QoS (Quality of Service).  Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two technologies that are combined in the next generation cellular network to provide improved network management. The primary idea behind resource allocation (RA) in the next generation network is the concept of network slicing where the network resources are virtually partitioning into many separate networks. Each separated network must satisfy the unique needs of the required service to achieve the required QoS.  In this survey, we focus on resource management issues related to network slicing and tackling the biggest obstacles in this field while offering a thorough and up-to-date overview of this field. Thus, thorough analysis of the allocation of resources on the access side and core side of the network communication was sought. Also, demonstrates how revolutionary techniques that are used to support the management of sliced networks which are based on Machine Learning (ML) and Artificial Intelligence (AI). Importantly, use appropriate ML techniques such as deep learning for predicting the network condition and Reinforcement learning to learn optimal allocation policy without depending on prior knowledge and other techniques such as classification and clustering to aggregate the similar needs of users into separate slices. This could help to enhance resource utilization by allocating a sufficient amount of resource as needed based on ML algorithms and optimal utilization of resources and reducing operational costs by real-time adjustment of it based on user demands and network conditions
A Sign Language Recognition using Improved Grey Wolf Optimization based neural networks
Authors: A. Hussein Zahraa , O. Mosa Qusay , H. Hammadi Alaa
Published: October 2024

Sign language was developed to enable the deaf and hard of hearing community to communicate with society and convey information. It is the primary means by which they can interact with each other, as well as with the general population. The automatic gesture recognition system described in this paper uses Gray Wolf Optimization (GWO) to identify the most relevant features from a set of gesture images, with the aim of improving model performance. The main steps of the system are explained, including image preprocessing, feature extraction, GWO-based feature selection, classifier training, and evaluation. The proposed model achieved an accuracy of 99.9%.
A Survey on Classifying Ocular Diseases Using Deep Learning and Machine Learning Techniques
Authors: Abdul Latif Al-Hamzawi Walaa , Mohsen Al-juboori Ali
Published: October 2024

In ophthalmology, using fundus images to identify ocular diseases early may pose challenges for clinicians. Manually diagnosing ocular conditions is time-consuming, difficult, and requires experimentation. As a result, technology was created to help computers differentiate between ocular diseases. It is possible to create a system of this type due to different learning algorithms based on visual capabilities. Recent breakthroughs in deep learning and machine learning have led to the development of intelligent systems that improve accuracy and efficiency in classifying eye diseases. The purpose of this study is to conduct a comprehensive survey of modern systems that classify ocular problems using different methods, including pre-trained deep learning networks, using the Ocular Disease Intelligent Recognition (ODIR) dataset. The goal is to build and train a model that can recognize and classify ocular disorders. Previous research indicates the increasing use of deep learning techniques. CNN-based methods have spread widely in this field, compared to traditional manual procedures, due to their outstanding results. The most prominent deep learning techniques are convolutional neural networks (CNNs), recurrent neural networks (RNNs), and various learning methods for increasing and transferring data. The survey highlights the potential of these systems to enhance classification accuracy and sensitivity while addressing challenges such as data availability, interpretability, and integration with clinical practice.
A Novel Hybrid Intrusion Detection Framework Leveraging Machine Learning and Flower Pollination Optimization
Authors: Ali Sameer Shahad , Qassim Albaaj Hadeel , Jaber Abbas Safa , Najeh Khalill Maryam , Qassim Areej
Published: October 2024

The exponential growth in technologies such as cloud computing, smart devices, virtualization, and the Internet of Things (IoT) has generated over four hundred zettabytes of network traffic data annually. This surge necessitates robust cybersecurity strategies to protect information from intrusions, which can result in significant financial losses. Reducing security risks requires the use of data analytics and machine learning to derive insights and make informed decisions based on network data. This study introduces the Flower Pollination Optimization (FPO) algorithm for feature selection to enhance the performance of several classifiers on the UNSW-NB15 dataset. We evaluated four classifiers: Linear Discriminant Analysis (LDA), Multi-Layer Perceptron (MLP), Quadratic Discriminant Analysis (QDA), and K-Nearest Neighbors (KNN) in two scenarios: without feature selection and with FPO-based feature selection. The results demonstrate significant improvements in classifier performance with FPO, with QDA achieving the highest accuracy of 99.16%. Comparative analysis with recent studies highlights the superior performance of our approach, setting a new benchmark in intrusion detection. This research underscores the essential role of effective feature selection in improving the accuracy and reliability of Intrusion Detection Systems (IDS), particularly in IoT environments.