bluuebunny/crossref_metadata_2025 huggingface dataset:
«Солнце и Степь – величины вечные»: модель музейной реконструкции с жезлом из Притоболья
Authors: Джумабекова Гульнара Саиновна , Базарбаева Галия Аппазовна , Новоженов Виктор Александрович , Алтынбекова Элина Кырымовна , Гончаров Антон Александрович , Манапова Алия Мерекеевна
Published: January 2025

Впервые в научный оборот вводится уникальная находка, обнаруженная на пашне в местности Жарык (Костанайская обл.). Изделие представляет собой бронзовый втульчатый цилиндр, декорированный двумя скульптурными изображениями головы барана и дополнительным навершием, увенчанным несколькими выступами. Предварительная датировка предмета – финальная бронза–раннескифское время. Аналогии обнаружены в художественной бронзе Луристана (X–VII вв. до н.э.). Находка интерпретируется как статусный предмет, символизирующий собой полисемантический нарративный узел и сочетающий в себе идеи первобытного дуализма, инкарнации человека-бога из Солярной династии в различные его зооморфные проявления и связывающий различные миры между собой, подобно Мировому древу во время проведения соответствующих ритуалов и обрядов. В целом, в статье отражён процесс от выявления предмета до его атрибуции, а также содержатся практические рекомендации о возможностях экспонировании находки в стенах Денисовского историко-краеведческого музея с учётом трендов современного общества.
Керамическое ядро периода Золотой Орды
Authors: Касенов Марат Сейтжанович , Карамурзина Ажар Конысовна
Published: January 2025

В статье затрагивается тема использования керамических шаров, найденных в городах Золотой Орды. Керамические шары, предположительно, применялись для двух целей: изготовление химических растворов; производство огненных шаров для военных целей. Город Актобе периода Золотой Орды известен в науке под двумя названиями: Актобе и Лаэти. Расположен на окраине современного г. Атырау. Город был разрушен в начале XIV в. в результате поднятия уровня Каспийского моря, а также паводка – резкого повышения уровня воды в р. Урал. Город Сарайчик Золотой Орды расположен на правом берегу р. Урал, в районе села Сарайчик (Махамбетский р-н, Атырауская обл., РК). В 1242–1280 гг. город принадлежал Золотой Орде, затем Ногайской Орде, а с 1511 г. это город Казахского ханства при Касым-хане. В 1989 г. в городе Актобе (Лаэти) обнаружен первый фрагмент керамики – ядра с отверстием. Затем, в 1991 и 2019 г., в верхних культурных слоях городища были найдены ещё два целых керамических ядра. В 2019 г. в кварталах городища Сарайчик выявлено керамическое ядро. Керамические шары, которые до сих пор обнаруживаются при раскопках городов периода Золотой Орды, свидетельствуют о том, что средневековые мастера изготавливали не только глиняную посуду, но и многообразные изделия разного назначения. Однако нет полной информации о том, для чего они преназначались и как их использовали.
Новые антропологические материалы эпохи поздней бронзы–раннего железа из Азербайджана
Authors: Кириченко Дмитрий Александрович
Published: January 2025

В статье представлены краниологические материалы из археологических памятников конца II – начала I тыс. до н.э. с территории западных и юго-восточных районов Азербайджанской Республики. Целью работы является изучение нового антропологического материала, происходящего из некрополей Ходжалы-Кедабекской и Талыш-Муганской археологических культур. Краниологический материал из некрополей Товузчай I, II, Шамкирского могильника (публикуется впервые), Бузейир характеризуется долихо-мезокранным каспийским антропологическим типом южных европеоидов, находящим свои аналогии на территории республики как в синхронное время, так и в более ранние исторические периоды. Мужской череп из некрополя Гараджамирли, возможно, относился к брахикранному варианту южных европеоидов, распространённому в Гянджа-Газахском регионе Азербайджана ещё с эпохи ранней бронзы, а в исследуемое время представлен в «Культовом кургане» (№ 36) долины р. Гянджачай. На черепах отмечены: «синдром орла» (выявлен впервые на палеоантропологическом материале с территории Азербайджана и Кавказа), абсцесс, кариес, стёртость, прижизненная потеря зубов, пародонтоз и остеома. На исследованном материале встречается непреднамеренная (бешиковая) деформация, а также следы военных столкновений той эпохи.
Палеопатологические исследования в археозоологии: возможности и значение для археологии
Authors: Рассадников Алексей Юрьевич
Published: January 2025

В статье рассмотрены основные виды патологических изменений на костях животных, которые можно выявить при обработке археозоологического материала. Помимо представления различных видов патологий предлагаются основные варианты использования тех или иных изменений на костях животных для реконструкций в археологии и археозоологии. Работа основывается на материалах ряда палеопатологических работ и исследований патологий на костях современного скота. Статья призвана изменить подход к обработке остеологического материала и повысить уровень археозоологических исследований на постсоветском пространстве.
Relationship Between the Mental Toughness, Self-Efficacy and Decision Making in Wrestling Referees
Authors: KOÇ İsmail , PAKYARDIM Cengizhan
Published: January 2025

ABSTRACTThe aim of this study is to examine the relationship between mental toughness, self-efficacy and decision making in wrestling referees. The research is a descriptive and relational design research conducted with survey method. The sample group of the study consisted of a total of 130 wrestling referees, 109 of whom were male and 21 of whom were female, with an average age of 36.22±10.05, who were actively working in the Turkish Wrestling Federation. The data in the study were obtained by using Sports Mental Toughness Questionnaire-SMTQ, Melbourne Decision-Making Inventory-II (MDMSI-II) and Referee Self-Efficacy Scale (REFS). The datas were analyzed using t test and ANOVA test and Pearson correlation analysis from parametric test methods. As a result of the research, it was found that there were positive significant relationships between SMTQ and REFS, positive significant relationships between SMTQ and careful decision-making among the sub-dimensions of MDMSI, negative significant relationships between REFS and careful decision-making style among the sub-dimensions of MDMSI, positive significant relationships between Buck-passing decision-making style, procrastinatory decision-making style and Hypervigilance decision-making style. It was found that there was a significant positive relationship between the refereeing year variable and the total scores of the SMTQ, a positive relationship between the game knowledge sub-dimension of the REFS sub-dimensions, and a negative relationship between all sub-dimensions of the MDMSI. According to the refereeing category variable, it was determined that there was no statistically significant difference in the overall averages of SMTQ and REFS, while there was a statistically significant difference in MDMSI; Buck-passing, Procrastination and Hypervigilance decision-making styles. This study can reveal which strategies can be applied to improve referees' decision-making processes or to improve their training programmes.Keywords: Decision Making, Mental Toughness, Self-Efficacy, Wrestling Referees
Polecenie Ministra Zdrowia w sprawie tzw. „dodatków covidowych” jako źródło roszczeń pracowniczych wobec podmiotu leczniczego – problemy wybrane
Authors: Zieliński Jakub
Published: January 2025

By an order dated September 4, 2020, the Minister of Health obligated the National Health Fund to provide additional funds to medical facilities where treatments were provided to so-called “covid patients,” with the intention of paying additional financial benefits to the medical staff. In fulfilment of the indicated order, the regional branches of the National Health Fund concluded agreements with their subordinate medical facilities regulating the procedures for payment of socalled “covid allowances” to medical personnel participating in the provision of health services and having direct contact with patients with suspected or infected SARS-CoV-2 virus. In the actual practice of the judiciary, a number of divergences can be noted concerning, among other issues, the qualification of contracts concluded by the National Health Fund with medical facilities, the nature of the claim for payment of the covid allowance, or the possibility of applying mechanisms of proportional relativization of the sum of the allowance paid in relation to certain objectivized criteria. In the author’s opinion, it has become necessary to make some remarks on the above subject, directed at systematizing the legal discourse, highlighting the proper lines of argumentation and, consequently, harmonizing the jurisprudence of common courts.
Przestępstwo przyjęcia zlecenia zabójstwa (art. 148a § 1 k.k.) – „myślozbrodnia” czy wypełnienie luki prawnej?
Authors: Kwiecień Konrad
Published: January 2025

The article addresses the issue of the crime of accepting a murder by order, introduced into the Polish legal system by the amendment to the criminal law of July 7, 2022. The commented provision arouses a number of controversies in the legal community, first of all, related to the sense of criminalization of behavior on planes very distant from the occurrence of the effect in the form of death of a human being and the potential violation of the fundamental principles of criminal law related to the criminalization of this type of behavior. The purpose of this paper is to carry out a dogmatic analysis of Article 148a § 1 and 2 of the Criminal Code, to draw attention to a number of systemic inaccuracies that arose after the introduction of this provision, as well as to answer the question of whether the shifting of the boundaries to such a distant foreground of the violation of a legal good is justified from the point of view of penal rationalism.
Propuesta de plan de manejo de residuos para el Patio Cobos de Triturados Santa Blanca S.A. de C.V. en la localidad de La Victoria, en el municipio de Túxpan de Rodríguez Cano, Veracruz
Authors: Valdéz Gwendoly Bautista , Vázquez Nadia Angélica Cruz , Meza Ana Lizette Sánchez , Vergara Erika Fuentes
Published: January 2025

El presente artículo presenta la propuesta de un plan de manejo de residuos para el Patio Cobos, una instalación de la empresa Triturados Santa Clara, S.A. de C.V. ubicada en la Localidad La Victoria, municipio de Túxpan de Rodríguez Cano, Veracruz, donde se realizan realizan actividades de producción de concreto y funge como patio de maniobras de carga y resguardo de materiales.  Este Plan está enfocado en la minimización de su generación, su valorización y la concientización de los trabajadores en el tema de la gestión integral de residuos.  Esta propuesta se elaboró con base a los resultados obtenidos de un diagnóstico previo, identificándose con ello volúmenes y tipos de residuos generados.  Con ello, se integró esta propuesta de plan de manejo de residuos que incluye segregación, acopio y almacenamiento, recolección, valorización y disposición final, así como la propuesta de un programa de capacitación ambiental, dirigido a los trabajadores de la empresa.
Mechanisms of influence of cadmium salt on postembryonic hemopoiesis in red bone marrow
Authors:   Abay Kazakh National Pedagogical university, Yessenaliyeva M.B.
Published: January 2025

This review examines the mechanisms by which cadmium salts affect the lineages of blood cells during postembryonic hematopoiesis in the bone marrow, as well as the disruptions that arise due to cadmium exposure, based on recent researches. Cadmium is a highly toxic heavy metal that, as proven by
numerous scientific studies, can enter the human body from the environment and
cause various diseases. The article analyzes the impact of cadmium compounds
on the cellular composition of the bone marrow, especially on the hematopoietic
process and cell differentiation. It illustrates the ways in which cadmium disrupts
hematopoiesis by triggering cellular stress responses, apoptosis and inflammatory processes. As blood, being the primary liquid medium of the body, participates in regulating all ongoing processes, understanding the impact of cadmium on hematopoiesis and the balance of blood cells is crucial for public health. The article is relevant both scientifically and practically due to the rising concentrations of heavy metal in the environment. The research findings provide insights into
the mechanisms of cadmium toxicity at the molecular and cellular levels, which in turn can serve as a basis for disease prevention, diagnosis, and the development of new therapeutic strategies in medical practice. This research work presents valuable information in the fields of biology, ecology, medicine, and toxicology, contributing to the assessment of cadmium’s risk to human health.
Motion Planning of a Flexible Robotic Arm Based on Neural Network Under Simulated Conditions
Authors: Li Xin
Published: January 2025

Flexible robotic systems are gaining significant attention due to their ability to adapt to complex environments, offering advantages in fields such as medical robotics and autonomous manipulation. This study focuses on developing a neural network-based control framework to enhance the motion planning and tracking capabilities of a flexible robotic manipulator. The proposed controller utilizes simulated datasets to train a neural network that maps the current state of the manipulator's actuators and the target end-effector position to the next state, enabling precise single-point positioning and trajectory tracking. Experimental results demonstrate minimal tracking errors, with the mean squared error (MSE) converging close to zero, indicating high accuracy across training, validation, and test phases. The system successfully follows both static targets and dynamic paths, as confirmed by the alignment between actual and target trajectories. Additionally, the controller shows stable performance, ensuring smooth motion without oscillations or delays. This research highlights the potential of neural networks to improve control precision in flexible robotic systems, bridging the gap between simulation and real-world applications. The study lays a solid foundation for further advancements in intelligent control frameworks for flexible robotic systems, contributing to the development of adaptive and autonomous robotic platforms.
Design Considerations for Improving the Resilience of Combined-Cycle Power Plants to Temperature Fluctuations
Authors: Ma Shangrui
Published: January 2025

As global energy demand rises and environmental concerns intensify, the efficiency and sustainability of power generation systems have become paramount. Combined-cycle power plants (CCPPs) are a widely adopted solution, offering high efficiency through the utilization of both gas and steam turbines. However, temperature fluctuations significantly affect the performance of CCPPs, leading to reduced efficiency and increased operational costs. This paper explores the impact of ambient temperature variations on the thermodynamic cycles of CCPPs and investigates various design considerations to mitigate these effects. Key strategies include the implementation of advanced cooling technologies, hybrid integration with renewable energy sources, and adaptive control systems utilizing real-time monitoring and AI-based predictive controls. Simulation methods, such as Computational Fluid Dynamics (CFD) and Monte Carlo simulations, are highlighted as essential tools for optimizing plant performance. Future trends in CCPP design are also discussed, with a focus on high-temperature-resistant materials, the integration of IoT and smart grid technologies, and the adoption of carbon capture and storage (CCS) for low-emission energy production. This paper demonstrates that enhancing the resilience of CCPPs to temperature fluctuations through these innovations will ensure their continued role in efficient and sustainable power generation.
Hydrogen Powered Engine and its Applications
Authors: Mai Sailung
Published: January 2025

Electric vehicles are very popular in environmental discussions. Major car manufacturers around the world have successively introduced electric vehicles such as the BMW i Series, Mercedes-Benz EQ, etc. In the future, the driving form of automobiles should be closely linked with electric power. Electric vehicles have lower emissions compared to fossil fuel cars, lower driving costs, are more suitable for household use, and feature higher levels of technology. There are still some challenges for electric vehicles to completely replace all the fossil fuel cars. For example, electric vehicles have a short driving range and a very long charging time, causing drivers range anxiety. Electric vehicles perform poorly in extreme environments. Temperature can significantly affect the performance of electric vehicles. Too high and too low temperatures can further shorten the range of electric vehicles. This hinders the development of electric vehicles. Although electric vehicles face these challenges, they are more suitable than fossil fuel for normal families in city to use at this moment.
Structural Optimization and Motion Simulation of Robot of Shoulder Exoskeleton
Authors: Wang Yanjie
Published: January 2025

Stroke is a kind of acute cerebrovascular disease, its sequelae can lead to hemiplegia, great influence on their daily life, as the current increasing the hemiplegia patients caused by stroke, for patients with limb disorders long-term scientific recovery training, the traditional rehabilitation training is a professional medical staff for hand-in-hand rehabilitation training, it is difficult to meet the rehabilitation needs of the increasing number of patients, to provide a certain degree of help for this problem, shoulder exoskeleton robot was designed to add a telescopic rod structure to its original structure, allowing it to move up and down and realize the function of normal shoulder movement requirements, Solving and verify the forward and inverse motion by the D-H parameter method, The tion simulation of the robot using MATLAB, it observed no mutation in the position, speed and acceleration during the exercise, so as to verify the rationality and effectiveness of its workflow and meet the requirements of human shoulder rehabilitation training. The robot enables shoulder hemiplegia patients to achieve more diversified exercise while conducting normal shoulder rehabilitation training. However, the structure still has the problem that it cannot achieve synergistic movement, and it is difficult to perform other shoulder movements while they shrugged the shoulders.
Serum Electrolyte Changes in Chronic Renal Failure Pre and Post Dialysis
Authors: Najat Alaswad  , Manal Khalifa
Published: January 2025

Chronic renal failure is a progressive decline of the kidney function leading to accumulation of toxins and fluid. Hemodialysis is a method of renal replacement therapy that is used to achieve the removal of that waste product such as creatinine and urea from blood by an artificial kidney machine. The aim of the study was to compare serum urea, creatinine, sodium, and potassium and chloride levels in chronic renal failure patients before and after dialysis. This study was conducted on 35 patients. All patients had renal failure and enter the dialysis department in Gharyan teaching hospital. It was found that the mean level of serum urea, creatinine and potassium were significant difference between pre and post dialysis. The pre-hemodialysis urea was 142.2 ± 34.1 mmol/L and post-hemodialysis urea was 45.7 ± 15.8 mmol/L. The pre-hemodialysis creatinine was 11.9 ± 3.2 mmol/L and post-hemodialysis creatinine was 4.3 ± 1.5 mmol/L. The pre-hemodialysis potassium was 5.1 ± 0.8 mmol/L and post- hemodialysis potassium was 3.6 ± 0.4 mmol/L. There is decrease in serum urea, creatinine as well the level of potassium before and after hemodialysis. While the level of serum sodium and chloride not significantly changed after hemodialysis.
Learning Interest: How Does the Experimentation Compare Between the TAI and TEL Models?
Authors: Patriasya Pitra Gosha , Baharudin Baharudin , Zulaikhah Siti , Isti’ana Ais , Hasanah Ida Fardiatul , Azizah Nurul
Published: January 2025

This research aims to investigate the experimentation of applying the Team Assisted Individualization (TAI) and Technology Enhanced Learning (TEL) learning models on students' interest in Islamic Education at SMP Negeri 23 Bandar Lampung. The research employs a quantitative approach with a quasi-experimental design. The population of this study includes all eighth-grade students of SMP Negeri 23 Bandar Lampung in the 2024/2025 academic year. The sample used consists of classes VIII D and VIII F, which were designated as the experimental groups, while class VIII E served as the control group, selected using a simple random sampling technique. Data collection was conducted using a questionnaire as a post-test instrument to measure students' interest in learning. Data analysis techniques included normality tests, homogeneity tests, and one way anova tests. The results of this study indicate that the learning interest of students treated with the Team Assisted Individualization (TAI) and Technology Enhanced Learning (TEL) models was better than that of students treated with conventional learning models. This is based on the results of anova data analysis, which showed an F-value of 18.973 with a significance level of Sig. = 0.000. This value indicates that Sig. < 0.05, leading to the rejection of H?. This means there is a significant difference between the average learning interest in the experimental and control classes. These results suggest that the learning models applied in this study have a significant influence on students' interest in learning.
Students Learning Activeness: An Experimental Study On The Effectiveness Of The Cooperative Learning Model Question Students Have
Authors: Nirwana Nirwana , Azizah Nurul , Zulhannan Zulhannan , Romlah Listiyani Siti , Rahmatika Zahra
Published: January 2025

Students learning activeness can be increased by implementing interactive learning models. This research was motivated by low learning activity. This research aims to determine the effectiveness of implementing the Question Students Have type cooperative learning model on students' learning activity at MTS Nurul Huda Pringsewu, especially in the subject of moral beliefs. This research uses a quantitative approach with a Quasi Experimental Design research type. The sampling technique uses simple random sampling. The results of the normality test for the experimental group where the sig value. 0.234 is greater than 0.05, indicating that the data is normally distributed. Meanwhile in the control group it was 0.391 where the sig value. greater than 0.05. The t test results show data where the sig value. 0.409 which means that the sig value. (2-tailed) greater than 0.05. so it can be concluded that H_0 is accepted and H_1 is rejected. so the results of this research show that the experimentation of the question students have learning model is not significant on students' learning activeness.
Konflik Kepentingan dan Dilema Etis Auditor Internal Pemerintah pada Inspektorat Daerah Provinsi Nusa Tenggara Timur (NTT): Sebuah Studi Fenomenologi
Authors: Permana Viviany Jenkarti , Arthana I Komang , Kiak Novi Theresia
Published: January 2025

Tujuan dari penelitian ini adalah untuk mengetahui serta memahami realitas konflik kepentingan dan dilema etis terhadap kinerja auditor internal pemerintah pada Inspektorat Daerah Provinsi Nusa Tenggara Timur. Metode yang digunakan adalah penelitian kualitatif melalui pendekatan studi fenomenologi, yang melibatkan auditor internal pemerintah pada Inspektorat Daerah Provinsi Nusa Tenggara Timur sebagai informan. Penelitian ini berfokus pada realitas konflik kepentingan dan dilema etis. Pengumpulan data diperoleh dari hasil wawancara dan dokumentasi dengan teknik analisis data menggunakan model analisis data Creswell serta menggunakan perangkat bantu aplikasi NVivo. Hasil penelitian menunjukkan bahwa auditor internal Inspektorat menghadapi tantangan konflik kepentingan dan dilema etis dalam melaksanakan tugas audit, yang dapat memengaruhi independensi dan objektivitas mereka, namun melalui penerapan kode etik, pakta integritas, konsultasi tim, dan kepatuhan pada aturan, mereka berupaya menjaga profesionalisme, integritas, dan akuntabilitas untuk memastikan hasil audit yang dapat dipercaya.
Peramalan dan Pemodelan Emiten Terbaik dari Indeks IDXHIDIV20
Authors: Wijaya Amelia , Putri Natasya Liana , Angelina Vira , Rif’atila Talitha Fitri , Albarr Ahmad Choirudden , Santoso Bambang Hadi , Habatullah Fausamia
Published: January 2025

Pergerakan harga saham di pasar modal dipengaruhi oleh berbagai faktor, baik makroekonomi maupun mikroekonomi. Secara global, fluktuasi harga saham menjadi perhatian investor karena risiko tinggi yang menyertainya, sehingga pemahaman terhadap faktor yang memengaruhi harga saham menjadi hal yang sangat penting. Secara khusus, saham-saham pada indeks IDXHIDIV20 di Indonesia, yang terdiri dari perusahaan-perusahaan dengan dividen tinggi, memberikan daya tarik bagi investor untuk analisis lebih lanjut terkait faktor-faktor yang memengaruhi harga saham mereka. Urgensi penelitian ini terletak pada kebutuhan investor untuk mengetahui pengaruh variabel-variabel ekonomi terhadap harga saham agar dapat mengambil keputusan investasi yang tepat. Penelitian ini bertujuan untuk menganalisis pengaruh faktor makroekonomi, seperti Indeks Harga Saham Gabungan (IHSG) dan cadangan devisa, serta faktor mikroekonomi seperti harga batu bara acuan terhadap harga saham pada emiten tertentu di IDXHIDIV20. Metode yang digunakan meliputi analisis klasterisasi K-Means untuk memilih emiten terbaik berdasarkan rasio keuangan seperti ROA, ROE, dan dividend yield, serta analisis Error Correction Model (ECM) untuk mengukur pengaruh variabel ekonomi dalam jangka pendek dan panjang. Emiten terpilih untuk analisis lanjutan adalah ADRO, PTBA, dan UNTR. Hasil penelitian menunjukkan bahwa metode single exponential smoothing dengan α sebesar 0,8 merupakan metode peramalan terbaik untuk memprediksi harga saham dengan akurasi tinggi. Berdasarkan analisis, IHSG memiliki pengaruh signifikan terhadap harga saham ADRO, PTBA, dan UNTR, sementara cadangan devisa dan harga batu bara tidak memengaruhi harga saham secara signifikan pada uji parsial. Kesimpulannya, IHSG sebagai indikator makroekonomi utama memiliki peran penting dalam memengaruhi pergerakan harga saham emiten di IDXHIDIV20, sehingga dapat menjadi acuan bagi investor dalam menyusun strategi investasi.
Evaluasi diri dalam meningkatkan kualitas pendidikan melalui penjaminan mutu internal
Authors: Happyana Luat
Published: January 2025

Evaluasi diri merupakan langkah strategis dalam penjaminan mutu internal untuk meningkatkan kualitas pendidikan. Penelitian ini bertujuan menganalisis peran evaluasi diri dalam pengelolaan sumber daya, perbaikan sistem administrasi, dan peningkatan kapasitas tenaga pendidik di SMA Darussalam Blokagung, Banyuwangi. Menggunakan pendekatan kualitatif deskriptif, data diperoleh melalui wawancara, observasi, dan analisis dokumen. Hasil menunjukkan bahwa evaluasi diri membantu mengidentifikasi kelemahan dan peluang perbaikan, seperti redistribusi tugas, pengelolaan fasilitas, pelatihan berbasis teknologi, serta peningkatan efisiensi administrasi. Tantangan yang dihadapi, seperti keterbatasan anggaran dan waktu pelatihan, dapat diatasi melalui inovasi dan strategi berkelanjutan. Dengan evaluasi diri yang konsisten, lembaga pendidikan mampu menciptakan budaya mutu dan adaptasi yang mendukung peningkatan kualitas pendidikan
Efficient market theory on trial: The case of PT Semen Indonesia
Authors: Doloksaribu Raja Pranatha , Maharani Arum Puspita , Qadri Resi Ariyasa
Published: January 2025

This study seeks to investigate the dynamics within PT Semen Indonesia (Persero) Tbk, particularly examining the paradox of its share price decline during a period of favorable operational and financial performance from November 2022 to May 2023. Employing both interviews with high-level executives and extensive literature review, the research adopts a mixed-method approach. Interview data were meticulously analyzed using clustered coding to draw nuanced insights, while the literature review served to contextualize and bolster the analysis of the empirical data. The findings indicate that despite the robust operational and financial health of PT Semen Indonesia during the specified period, the company experienced a concomitant decline in its stock value, challenging the assumptions of the Efficient Market Theory. The disparity between the company’s performance metrics and its stock price behavior suggests a weak application or potential invalidity of the Efficient Market Theory in this instance. This research not only underscores the complexities of stock price determinations within Indonesian state-owned enterprises but also opens avenues for future studies to explore similar phenomena across different firms or industries. The unique insights gained from high-level sources within the company provide a valuable foundation for further scholarly inquiry into market efficiency theories.
Impact of Parental Support on Adolescents self Esteem
Authors:   Baba Farid College of Education, Bathinda, Kaur Dr.Bhinderjeet
Published: January 2025

The study is about co-relation between two important variables Parent Encouragement and Self-esteem. The study focus on that how the Parental encouragement effects the self self-esteemof the students during their teenage. The results shows that parents can play very important role in developing self self-esteemamong the adolescences.  The study was conducted on 200 students of various Government and private schools located in Fatheghar Sahib District of Punjab. There is no difference in the study related to gender and the variables had a positive co-relation.
The impact of Teacher Professional Development on Students Achievement
Authors:   Assisstant Professor  Baba Farid College Of  Education,Bathinda, Kaur Sukhpreet
Published: January 2025

Research has established  that Teacher quality is the most influential factor in determining student achievement .The role of teachers is fundamental to  discussion about educational institutions, and features prominently in  education policy conversations both directly and  indirectly. Given that a significant portion of educational funding is allocated to teachers ,focusing on their development is crucial .(Hanushek et al, 2006 ). In addition to improving test scores ,effective instructors manage classroom behaviour,foster a positive learning environment that supports students social and emotional development ,and provide high -quality instruction that promotes intellectual growth.  ( Blazar and others,2017).

Teacher  professional development (TPD) refers  to structured training aimed at improving students performance.Teacher professional development refers to “structured, facilitated activity for teachers intended to increase their teaching ability”(Sims & Fletcher-Wood, 2021, p. 7).Teacher professional development (TPD) programs have been arranged to aid teachers in developing AfL in their classrooms (Kippers et al , 2018).

 Instructional Development is viewed  as an outcome of activities that are both job-integrated and externally supported, enhancing  instructors' understanding and helping them  adjust their methods  to better encourage student learning (Hammond et al.,2017). Fabriz et al. (2022) argued that exercises encouraging beneficial encounters using instruction-related knowledge and abilities as well as more profound thought on academically positions in educational institutions need to be featured in TPD  for educational personnel. Muammar and Alkathiri (2021) discuss about the development  and implementation of TPD programs centered around the issues that educators who attend these programs truly find troubling.
This review synthesizes findings from various studies on the impact of TPD on the students achievement .Researchers such as yoon et al.(2007) and Guskey(2002) finds that TPD improves the student learning when it is focused on teacher learning and changes in instructional practices .The scope of this review includes an analysis of various professional development models ,their impact on instructional practices, and the relationship between TPD and student achievement .It also explores recent trends in Technology enhanced Professional development ,Initiatives and the barriers that affect successful PD implementation in educational settings .
Performance and Emission Characteristics Study of Bio Diesel (Mahua Seed) – Diesel Blends in CI Engines
Authors:   Department of Mechanical Engineering  Stella Mary’s College of Engineering, S R Rajkumar , M Sujin , Sekhar Jeshvin G , Raja Pearlson Prasanna , Shajan J.
Published: January 2025

Nowadays, the interest of researchers from all over the world is growing largely in eco- new line friendly bio-fuel (bio-diesel), especially in the countries like India which are still in their new line development phase. Bio-diesel can be prepared from edible or non-edible vegetable oils by newline heir trans-esterification using low molecular alcohols. These bio-diesels can be blended with newline mineral diesel in different proportion to get an efficient bio-fuel blend. In the recent years, a newline significant amount of research has been done on the single bio-diesel and mineral diesel newline blend as a bio-fuel. On the other hand, a limited amount of work is reported in the field of newline bio-fuel prepared by mixing of two bio-diesels with mineral diesel. Therefore, there is good newline scope to further study and research in this area. This present research work was carried out in newlinetwo phases. In the first phase two suitable bio-diesels were selected after literature survey to newline prepare dual bio-fuel as an alternate fuel to conventional mineral diesel. Further, two step newline trans-esterification method was employed and reaction parameters were varied to produce newline improved quality dual bio-fuel sample blends. The physicochemical properties were analyzed newline for the various sample blends and the samples with better quality were recommended for newline testing on a varying compression ratio engine for combustion and emission characterization. Newline The second phase of research work included the performance of engine and emission newline characterization of the dual bio-fuel samples prepared. Mahua (Madhuca indica) newline seed oil has production capacity of approximately 60 MT in India, which has oil content near newline to 35-40% and heat content value almost near to that of conventional diesel.

Keywords: Madhuca indica, Blended oil, Engine Performance
ONLINE INTERACTIVE ENTREPRENEUR CLUBS
Authors:   Undergraduate Student, Presidency University, Bengaluru, Taseen Rakheeba , Kumar Aman , Pasha Ahmed , Imdadulla Mohammed , Begum Husna , Syed Juveria
Published: January 2025

The Online Interactive Entrepreneur Clubs platform revolutionizes networking for entrepreneurs by removing geographical barriers and enabling seamless digital connections. Designed with React Native for cross-platform functionality, the application empowers entrepreneurs to present their profiles, including their business goals and offerings, to expand their networks and foster strategic collaborations. Key features of the platform include intuitive profile creation, community feeds, search options, personalized notifications, and secure real-time communication. Its scalable and modular architecture ensures smooth navigation, efficient performance, and responsiveness across various devices. These tools facilitate professional growth by encouraging collaboration and innovation within the entrepreneurial community. For investors, the platform serves as an efficient space to discover promising talent and business opportunities, fostering partnerships that support business expansion. By offering a comprehensive and dynamic networking environment, the app transforms how entrepreneurs connect and collaborate in today’s digital landscape.

Key Words: Online Interactive Entrepreneur Clubs, Networking, Entrepreneurs, Geographical barriers, Digital connections, React Native, Cross-platform functionality, Profiles, Business goals, Strategic collaborations, Intuitive profile creation, Community feeds, Search options, Personalized notifications, Real-time communication, Scalable architecture, Modular design, Responsive performance, Professional growth, Collaboration and innovation, Entrepreneurial community, Investors, Promising talent, Business opportunities, Dynamic networking environment.
Revolutionizing Product Recommendations with Generative AI: Context-Aware Personalization at Scale
Authors: Malikireddy Sai Kiran Reddy
Published: January 2025

Generative Artificial Intelligence (GenAI) is poised to transform the product recommendation landscape by bridging
the gap between user intent and personalized discovery. Traditional recommendation systems rely heavily on
collaborative filtering, content-based algorithms, or hybrid models, often constrained by sparse data and limited
contextual understanding. GenAI introduces a paradigm shift by leveraging advanced transformer-based architectures
and multimodal embeddings to deliver highly contextual, dynamic, and explainable recommendations at scale. This

paper explores the use of GenAI for product recommendation systems, focusing on its ability to generate rich, context-
aware interactions that mimic human-like personalization. By fine-tuning pre-trained language models on domain-
specific product catalogs and user behavior data, we demonstrate how GenAI can synthesize user preferences into

coherent narratives, predict latent needs, and suggest products that align with evolving trends. Additionally, we propose
a novel “Recommendation Dialogue Model” that integrates natural language prompts with visual and textual content
to provide seamless, conversational shopping experiences. Our experiments, conducted on benchmark datasets and
real-world e-commerce platforms, show that GenAI-based systems outperform traditional models in precision, recall,
and customer satisfaction metrics. Furthermore, we address challenges such as mitigating bias, ensuring diversity in
recommendations, and preserving privacy through federated learning approaches. By reimagining product discovery
as a generative process, this work highlights the transformative potential of GenAI to create hyper-personalized,
interactive, and engaging recommendation systems that redefine how users find and connect with products. The
implications extend to e-commerce, media streaming, and beyond, offering a blueprint for the next generation of
intelligent systems.
Keywords: Generative Artificial Intelligence, Product Recommendations, Transformer Architectures, Multimodal
Embeddings, Recommendation Dialogue Model, Natural Language Processing, Contextual Understanding, Federated
Learning, Privacy Preservation
Personality Prediction Model : Using Multimodal Data
Authors:   Department of ECE University of Illinois Urbana-Champaign Champaign, USA, Tulsyan Ansh
Published: January 2025

This research introduces a model, for self-prediction that combines natural language processing (NLP) visual analysis and behavioural analysis to analyse data such as anchor means, language usage, visual content and personality. To effectively assess behaviour the model incorporates NLP algorithms for speech and computer analysis to understand issues. An important aspect of this model is its design, which prioritizes user privacy, data security and compliance with privacy standards. Manufactured insights (AI)-driven identity forecast models give a novel strategy for comprehending and anticipating human conduct. These models look at a extend of information sources, such as organizing destinations, fitness exams, and discourse designs. They are based on mental thoughts such as the five major identity characteristics. In arrange to distinguish designs and associations in expansive datasets and progress estimate precision and understanding, such calculations depend on fake insights methods. Potential employments for AI incorporate working environment administration, promoting, and mental wellness. In any case, moral issues like protection and predisposition hazard emerge with AI's potential for identity expectation. Person assent and rigid confinements must control the utilization of individual information. It is expected that identity expectation will see more advanced and exact models within the future, clearing the way for more personalized intuitive in different areas.

Keywords— Multimodal Data Integration, Advanced Machine Learning, Ethical Design Framework, Personality Assessment Accuracy, Scalable
Autonomous Vehicle Simulation
Authors:   Dept. of ECE University of Illinois Urbana-Champaign Champaign, USA, Tulsyan Ansh , Bhardwaj Anshul , Shukla Pranjal , Gautam Piyush , Singh Tushar
Published: January 2025

Autonomous vehicles represent a revolutionary advancement in transportation technology, relying heavily on sophisticated simulations for development and testing. This abstract presents an approach to autonomous vehicle simulation utilizing the Udacity Self-Driving Car Nanodegree platform coupled with Convolutional Neural Networks (CNNs) for perception tasks. The simulation environment provided by Udacity offers a realistic representation of urban driving scenarios, allowing developers to test and train autonomous vehicle algorithms in a virtual setting before deploying them on real-world roads. This environment includes various elements such as traffic lights, pedestrians, and other vehicles, providing a comprehensive testbed for algorithmic validation. To enhance the perception capabilities of autonomous vehicles within this simulated environment, Convolutional Neural Networks (CNNs) are employed. CNNs have proven effective in image recognition tasks, making them well-suited for tasks like object detection and classification crucial to autonomous driving. The neural network is trained on a diverse dataset, enabling it to accurately identify and interpret the surrounding environment through sensor data, such as camera images. The integration of CNNs with the Udacity simulation platform enables the autonomous vehicle to make informed decisions based on its perception of the environment. The trained CNN serves as a crucial component in the overall perception pipeline, enhancing the vehicle's ability to recognize and respond to dynamic and complex scenarios.

Keywords—Autonomous vehicle simulation, Artificial    Intelligence, Object Recognition, Real-Time Processing, convolutional neural networks.
Design and Implementation of Image and Video Handling on a Platform with Reconfiguravle FPGA
Authors:   Institute of Aeronautical Engineering Hyderabad, India, Bachanna Dr. Prashant
Published: January 2025

This research explores the design and implementa- tion of an image and video processing platform using recon- figurable FPGA technology. With the increasing demand for real- time, high-performance multimedia processing in modern applications, a flexible and efficient solution is essential. The project utilizes an FPGA-based platform to handle image and video data processing through edge detection, image scaling, and real-time motion detection techniques. By integrating custom- built hardware components, this study aims to provide a low- power, high-throughput solution that meets the requirements of both image and video processing tasks. Materials and methods involved using Xilinx Virtex-II Pro FPGA for hardware imple- mentation, alongside embedded memory processors and multi- functional design elements such as zoom-in/out utilities. The system was evaluated through several experimental procedures, using various image and video datasets, to measure performance in terms of speed, resource utilization, and power consumption. Results indicated that the system achieved notable improvements in terms of efficiency, utilizing 25% of logic resources, 55% of on- chip memory, and 180mW of power. The discussion focuses on the adaptability of FPGA-based systems in meeting the diverse needs of multimedia processing, emphasizing scalability and low power consumption. In conclusion, the reconfigurable FPGA platform provides a versatile and efficient environment for image and video processing. The system’s resource efficiency, scalability, and potential for further enhancements make it a promising candidate for future multimedia applications.

   Keywords-Reconfigurable FPGA Architecture, Video and

Image Processing, Edge Detection, Image Rescaling.
Personal Economic Health: Credit Score
Authors:   YES-IIMS,Chinchwad,Pune, Mahankal Mahesh , Dukare Gangadhar , Wagh Dr. Pushpraj , Lande Dr. Ganesh
Published: January 2025

Credit scores are essential metrics in assessing an individual’s creditworthiness and financial reliability. This paper explores the significance of credit scores in personal economic health, emphasizing their impact on financial decisions, loan accessibility, and economic stability. The analysis highlights the key factors affecting credit scores, their role in shaping financial opportunities, and the potential repercussions of poor credit management. Finally, this research underscores the importance of credit education and strategic financial planning.

Keywords

Credit Scores, Creditworthiness, Financial Health, Economic Stability, Financial Planning
Emotion Detection from Video and Audio and Text
Authors: Thamaraiselvi         Dr.D. , Pranay                J. , Kasyap    S.Hruthik
Published: January 2025

Emotion detection from video, audio, and text has emerged as a vital area of research within the fields of artificial intelligence and human-computer interaction. As digital communication increasingly integrates multiple modalities, understanding human emotions through these various channels has become essential for enhancing user experience, improving mental health diagnostics, and advancing affective computing technologies. This paper presents a comprehensive overview of the methodologies and frameworks developed for detecting emotions from video, audio, and text inputs, highlighting the synergies and challenges of multimodal emotion recognition systems.

The paper begins by discussing the significance of each modality in emotion detection. Video analysis leverages facial expressions, body language, and gestures, employing computer vision techniques to extract key features that indicate emotional states. Audio processing focuses on vocal characteristics, such as tone, pitch, and speech patterns, utilizing signal processing and machine learning algorithms to interpret the emotional nuances conveyed through speech. Text analysis, on the other hand, relies on natural language processing (NLP) techniques to assess sentiment and emotional context from written language, considering both syntactic and semantic factors. By integrating these three modalities, the proposed systems can achieve more accurate and robust emotion recognition, reflecting the complexity of human emotional expression.

Moreover, the paper explores the challenges faced in multimodal emotion detection, including data synchronization, feature extraction, and the need for large, annotated datasets that represent diverse emotional expressions across different cultures and contexts. The integration of machine learning and deep learning approaches is examined, showcasing how these technologies enhance the effectiveness of emotion detection systems. Recent advancements, such as the use of transformer architectures and attention mechanisms, have shown promise in capturing the relationships between modalities and improving the overall classification accuracy.

Finally, this research emphasizes the potential applications of multimodal emotion detecti