bluuebunny/crossref_metadata_2025 huggingface dataset:
Summary of Poster Abstracts
Authors: Bautsch Brian T. , Cripton Peter A. , Cronin Duane
Published: November 2024

Seventeen research posters were prepared and presented by student authors. The
posters covered a wide breadth of works-in-progress and recently completed
projects. Topics included a variety of body regions and injury scenarios:

Biofidelity Corridors of Powered Two-Wheeler Rider Kinematics from
Full-Scale Crash Testing Using Postmortem Human Subjects, Meringolo
et al.

Cervical Vertebral and Spinal Cord Injuries Remain Overrepresented in
Rollover Occupants, Al-Salehi et al.

The Effect of Surfaces on Knee Biomechanics during a 90-Degree Cut,
Rhodes et al.

Investigating the Variabilities in the Spinal Cord Injury in Pig
Models Using Benchtop Test Model and Ultrasound Analyses, Borjali et
al.

Relationship between Tackle Form and Head Kinematics in Youth
Football, Holcomb et al.

Comparing Motor Vehicle Collision Injury Incidence between Pregnant
and Nonpregnant Individuals: A Case–Control Study, Levine et al.

Development of an Automated Pipeline to Characterize Full Rib Cage
Shape Variability, Robinson et al.

Soft Tissue Force Attenuation and Redistribution during Lateral Hip
Impacts, Pretty et al.

Hybrid III Small Female Neck Interaction with a Driver Airbag:
Preliminary Observations, Boyle et al.

Changes in Youth Football Athletes’ Oculomotor Task Metrics across
Three High School Seasons of Play, Pang et al.

Measurement of Shielding Stiffness in Ice Hockey, Vakili et al.

Investigating the Relationship between Vehicle-Based and Biomechanics
Injury Metrics in Car-to-End Terminal Crashes Using a Human Finite
Element Model, Buckland et al.

On-Field Instrumented Mouthguard Coupling, Luke et al.

Investigation of Rear-Seat Occupant Safety during High-Speed Frontal
Crashes Using GHBMC M50-O, Dahiya et al.

Deformable Headform Design Choices: An Evaluation of Brain Simulant
Stiffness Influence on Intracranial Displacements and Strain, Xu et
al.

Changes in Neurocognitive Outcomes among Youth Football Teams
Participating in an Intervention, Marks et al.

A Parametric Skeleton Model of Human Upper Extremities Accounting for
Morphological Variations among the Diverse Population, Neeluru et
al.
Position and Attitude Separation Control for Tiltable Quadrotors: An
Appointed-Time Prescribed Performance Anti-Disturbance Approach
Authors: Wu Tiancai , Bai Jie , Wang Fang , Shi Zhiguo , Xingchen Yue
Published: November 2024

Aiming at the position and attitude separation control problem of the “X”
configuration tiltable quadrotor, an appointed-time prescribed performance
anti-disturbance control method is proposed. Firstly, the tiltable quadrotor’s
model description and dynamic model are presented, in which the virtual control
inputs are defined to solve the non-affine control allocation problem trickly.
Then, appointed-time prescribed performance control laws are designed for
position and attitude angle control subsystems to guarantee tracking errors’
transient and steady-state performance. Furthermore, fixed-time extended state
observers are designed to compensate for the lumped disturbance in velocity and
angular rate control subsystems. And the quadratic programming method is used to
solve the control allocation problem considering energy optimization. Finally,
the simulation results demonstrated the effectiveness of the proposed
method.
Self-Organisation Theory Based Trajectory Optimisation Method for
CAVs in Diverging Area
Authors: Fang Zhaodong , Qian Pinzheng , Su Kaichun , Qian Yu , Leng Xiqiao , Zhang Jian
Published: November 2024

The highway diverging area is a crucial zone for highway traffic management. This
study proposes an evaluation method for traffic flow operations in the diverging
area within an Intelligent and Connected Environment (ICE), where the
application of Connected and Automated Vehicles (CAVs) provides essential
technical support. The diverging area is first divided into three road sections,
and a discrete state transition model is constructed based on the discrete
dynamic traffic flow model of these sections to represent traffic flow
operations in the diverging area under ICE conditions. Next, an evaluation
method for the self-organization degree of traffic flow is developed using the
Extended Entropy Chaos Degree (EECD) and the discrete state transition model.
Utilizing this evaluation method and the Deep Q-Network (DQN) algorithm, a
short-term vehicle behavior optimization method is proposed, which, when applied
continuously, leads to a vehicle trajectory optimization method for the
diverging area over longer periods. Simulation results using the SUMO traffic
simulation platform demonstrate that the proposed EECD indicator effectively
replaces the Lyapunov Exponent (LE) as a measure of chaos in the diverging area.
The optimization method based on this indicator reduces the degree of chaos in
the traffic flow from 2.972 to 2.685 over time, resulting in smoother and more
self-organized traffic flow. Additionally, the optimization improves average
speed stability for some vehicles and reduces lane-changing behavior in the
diverging area compared to outcomes without the optimization method.
Study on the Electrohydrodynamic Performance of a Multiple
Wire-Cylinder Ionic Wind Generation System
Authors: Huang Guozhao , Dong Guangyu , Zhou Yanxiong
Published: November 2024

Electrohydrodynamic (EHD) technology, noted for its absence of moving mechanical
parts and silent operation, has attracted significant interest in plane
propulsion. However, its low thrust and efficiency remain key challenges
hindering broader adoption. This study investigates methods to enhance the
propulsion and efficiency of EHD systems, by examining the electrohydrodynamic
flow within a wire-cylinder corona structure through both experimental and
numerical approaches. A multi-wire-cylinder positive corona discharge
experimental platform was established using 3D printing technology, and
measurements of flow velocity, voltage, and current at the cathode outlet were
conducted. A two-dimensional simulation model for multi-wire-cylinder positive
corona discharge was developed using Navier-Stokes equations and FLUENT
user-defined functions (UDF), with the simulation results validated against
experimental data. The analysis focused on the effects of varying anode
diameters and the distances between the anode and cathode on flow velocity,
voltage, and current, as well as the influence of charge density intensity and
distribution of ionic wind and flow velocity. The experimental results
demonstrated that an anode diameter of 0.3 mm yielded the highest flow velocity,
reaching 0.94 m/s. Additionally, the study highlighted the critical role of
charge density in enhancing flow velocity, showing that increased charge density
could improve propulsion and efficiency. These findings suggest that optimizing
charge density and electrode parameters can potentially overcome the current
efficiency limitations of EHD engines, paving the way for their broader
application in propulsion systems.
Autonomous Landing of UAV in Non-Cooperative Environments Based on
Fusion of Monocular and Stereo Depth Estimation
Authors: Zhou YiBiao , Zhang BiHui
Published: November 2024

In non-cooperative environments, unmanned aerial vehicles (UAVs) have to land
without artificial markers, which is a key step towards achieving full autonomy.
However, the existing vision-based schemes have the common problems of poor
robustness and generalization, and the LiDAR-based schemes have the
disadvantages of low resolution, high power consumption and high weight. In this
paper, we propose an UAV landing system equipped with a binocular camera to
preform 3D reconstruction and select the safe landing zone. The whole system
only consists of a stereo camera, and the innovation of the solution is fusing
the stereo matching algorithm and monocular depth estimation(MDE) model to get a
robust prediction on the metric depth. The whole landing system consists of a
stereo matching module, a monocular depth estimation (MDE) module, a depth
fusion module, and a safe landing zone selection module. The stereo matching
module uses Semi-Global Matching (SGM) algorithm to calculate the binocular
disparities to get the dense metric depth of each pixel, and is deployed on GPU
to meet the real-time requirements. The MDE module conducts relative depth
estima-tion on the left-eye image, and is also deployed on GPU to improve the
inference speed. The output of the MDE module has the advantages of high
accuracy and excellent generalization but it is ambiguous in scale, and that of
the stereo matching module is deterministic in scale but susceptible to
illumination and moving objects. Considering the above features, the depth
fusion module fuses the relative depth estimation result and the metric depth
information into a robust and accurate metric depth map. With the metric depth
map and camera intrinsic parameters, the safe landing zone selection module
calculates the first and second order derivatives to detect the obstacles and
finds the safe landing zone. In AirSim, we build a UAV Hardware-In-the-Loop
(HIL) simulation system, and carry out a series of autonomous landing
experiments. The results show that our landing scheme performs 3D reconstruction
of the landing terrain and selects safe landing zone with high efficiency and
reliability.
Mass Production Development of 4D Millimeter-Wave Radar Based on a
Single Chip
Authors: Cai Yongjun , Zhang Xiansheng , Bai Jie , Shen Hui-Liang , Rao Bing
Published: November 2024

In this paper, a single-chip based design for an automotive 4D millimeter -wave
radar is proposed. Compared to conventional 3D millimeter-wave radar, this
innovative scheme features a MIMO antenna array and advanced waveform design,
significantly enhancing the radar's elevation measurement capabilities. The
maximum measurement error is approximately ±0.3° for azimuth within ±50° and
about ±0.4° for elevation within ±15°. Extensive road testing had demonstrated
that the designed radar can routinely measure targets such as vehicles,
pedestrians, and bicycles, while also accurately detecting additional objects
like overpasses and guide signs. The cost of this radar is comparable to that of
traditional automotive 3D millimeter-wave radar, and it has been successfully
integrated into a forward radar system for a specific vehicle model.
An approach to automatic answering for English reading comprehension tests
Authors: Bui Phat Tien , Tran Hieu Chi , Duong Thanh Huu
Published: November 2024

This study focuses on the reading comprehension problem with multiple-choice answers, using the BERT model to achieve the highest performance. The ultimate goal is to create a solution to help solve reading comprehension problems without any reasoning or knowledge, suitable for the level of students in grades six and seven. The model will solve factoid questions from a given text. Our research topic will use a deep learning model-based approach to create a model that automatically answers the English reading comprehension question. We obtain promising results to give an accuracy of 78 percent.
Evaluating antibacterial efficacy of extracts from Ludwigia hyssopifolia against pathogenic bacteria
Authors: Pham Uyen To , Hoang Y Thi Nhu , Le Bao
Published: November 2024

Ludwigia hyssopifolia extracts have historically been consumed as a healthful drink and rich in biomass. Therefore, the aims of this study were to determine the most effective fractionated extracts of L. hyssopifolia against pathogens. The whole plants of L. hyssopifolia were extracted various fractions with methanol, hexane, chloroform, ethyl acetate, and aqueous. The total phenolics and flavonoids was screened using quantitative approaches. The extracts tested for antibacterial activity against pathogens, including Bacillus cereus, Staphylococcus aureus, Escherichia coli, Salmonella Typhi, and Helicobacter pylori through the agar diffusion technique and the microtiter broth dilution method. The largest yield was obtained from the aqueous fractional extract. The phytochemical composition discovered in ethyl acetate was more abundant in phenolics and flavonoid compounds. Fractionation enhanced the antibacterial effect of the extract. The extracts showed a broad spectrum of antibacterial activity against all the bacteria tested, particularly H. pylori. In parallel, ethyl acetate extract showed antibacterial activity. The current results could provide rational support for the traditional use of L. hyssopifolia to treat infectious diseases and provide data for developing natural products.
Generating Plane Quadrangulations and Symmetry-preserving Operations on Maps
Authors: Camp Heidi Van den , McKay Brendan D.
Published: November 2024

Lopsp-operations are operations on maps that are applied locally and are
guaranteed to preserve all the orientation-preserving symmetries of maps.
Well-known examples of such operations are dual, ambo, truncation, and
leapfrog. They are described by plane 3-coloured triangulations with specific
properties. We developed and implemented a program that can generate all
lopsp-operations of a given size by reducing the problem of generating
lopsp-operations to generating all plane quadrangulations that are not
necessarily simple. We extended the program plantri to generate these
quadrangulations.
Basic Concepts of Stock Option Pricing Models Traded in the Capital Market
Authors: Ibrahim Riza Andrian , Azahra Astrid Sulistya , Kalfin
Published: November 2024

An option, in the world of capital markets, is a right based on an agreement to buy or sell a commodity, financial securities, or a foreign currency at an agreed price at any time within a three-month contract period. Factors that determine the value of an option include  the current price of the stock, intrinsic value, expiration time or time value, volatility, interest rate, and cash dividends paid. Some options pricing models use this parameter to determine the fair market value of an option. This paper aims to learn the basic concepts of option pricing. The method used in studying the pricing of options is  a literature review, which is an activity to collect scientific data, especially in the form of theories, methods, or research that has been carried out previously, either in the form of books, manuscripts, journals, and others that already exist in the library. Based on the results of the study, concepts, scientific findings, and method innovations that have been achieved previously are obtained, which are very relevant and useful for understanding the determination of stock option prices.
An option, in the world of capital markets, is a right based on an agreement to buy or sell a commodity, financial securities, or a foreign currency at an agreed price at any time within a three-month contract period. Factors that determine the value of an option include  the current price of the stock, intrinsic value, expiration time or time value, volatility, interest rate, and cash dividends paid. Some options pricing models use this parameter to determine the fair market value of an option. This paper aims to learn the basic concepts of option pricing. The method used in studying the pricing of options is  a literature review, which is an activity to collect scientific data, especially in the form of theories, methods, or research that has been carried out previously, either in the form of books, manuscripts, journals, and others that already exist in the library. Based on the results of the study, concepts, scientific findings, and method innovations that have been achieved previously are obtained, which are very relevant and useful for understanding the determination of stock option prices.
Financial Distress Analysis of Companies Carrying Out Mass Layoffs Throughout 2023 using the Altman Z-Score Method, Springate Method, and Zmijewski Method
Authors: Puspitasari Laras Dwi , Syifana Hani
Published: November 2024

This research aims to estimate the financial condition of four companies that will carry out mass layoffs throughout 2023 using three financial distress prediction methods, namely the Z-Score Altman method, the Springate method and the Zmijewski method. Secondary data was used sourced from the financial reports of each company from 2022 to 2023. The research results showed that financial performance was analyzed using the Z-Score Altman method, the Springate method and the Zmijewski method in four companies, namely PT Net Visi Media Tbk for the period 2022-2023 classified as having the potential to experience bankruptcy, PT GoTo Gojek Tokopedia Tbk for the 2022-2023 period is classified as having a high potential for bankruptcy, PT Bukalapak.com Tbk for the 2022-2023 period is classified as being in good health, and JD.com, Inc. (JD) for the 2022-2023 period is classified as having absolutely no potential for bankruptcy.
Estudio del impacto de la implantación del Sistema de Gestión de Seguridad y Salud Ocupacional en la accidentabilidad de la empresa Plastiazuay S.A.
Authors: Abril Rivera Raúl Alfredo , Campos Murillo Nathalie Del Consuelo
Published: November 2024

La investigación se enfoca en la seguridad y salud ocupacional en una empresa de fabricación de materiales sintéticos, analizando la efectividad de las acciones implementadas en la última década y su relación con la accidentabilidad laboral. El objetivo fue evaluar el impacto de un sistema de gestión de seguridad en las condiciones laborales y la percepción de los trabajadores sobre las medidas de prevención adoptadas. Cuyo propósito es identificar las correlaciones entre las tasas de accidentes y las acciones de seguridad implementadas, así como mejorar la percepción de seguridad entre los empleados. Se utilizo un enfoque cuantitativo, con un diseño no experimental y descriptivo, aplicando encuestas para recopilar datos demográficos y sobre la percepción de seguridad, en una a población de estudio incluyó a aproximadamente 80 trabajadores de la planta de producción en Cuenca, excluyendo personal de oficinas en otras ciudades. Los resultados revelaron que los trabajadores tienen una percepción variada sobre la seguridad en el trabajo, con áreas identificadas que requieren mejoras en las medidas de prevención siendo, el índice de frecuencia de accidentes fluctuó entre 0,0 y 2,64, mientras que el índice de gravedad disminuyó de 1.959,7 en 2016 a 1,55 en 2023. Un 65,8% de los trabajadores percibió un nivel adecuado de seguridad, y el 35,2% de la muestra tenía más de 50 años. Los riesgos mecánicos presentaron un índice de factor de riesgo de 23, siendo superados por los riesgos ergonómicos y físicos. En conclusión, la investigación subraya la necesidad de fortalecer los sistemas de gestión de seguridad y salud ocupacional, destacando que una adecuada implementación de medidas puede reducir la accidentabilidad y mejorar el bienestar de los trabajadores.
Columbo y la enfermedad de Alzheimer.
Authors: Muñoz-Carrasco Lissett , Herrera-Aliaga Eduardo , Cortés Manuel E.
Published: November 2024

Señora Editora: Hemos leído con interés el excelente trabajo de Cañas-Lucendo y colaboradores (2023), publicado en la Revista Ecuatoriana de Neurología.1 Se comenta allí, que la enfermedad de Alzheimer corresponde a una enfermedad neurodegenerativa, que afecta notablemente las actividades de la vida diaria.1 Dado el interés permanente sobre el Alzheimer, esta carta desea acercar su realidad a los lectores a través del protagonista de una aclamada serie televisiva. A fines de los ‘60 surgió la exitosa serie televisiva Columbo, protagonizada por Peter Falk (1927-2011).2 La serie hace referencia al personaje Frank Columbo, un despistado policía que resuelve difíciles casos de crímenes, que posee como característica principal una peculiar personalidad, alejada de estereotipos de policías rudos, violentos y con una sagacidad encomiable para descubrir las tramas criminales.
Evaluación neuropsicológica en un caso de síndrome de Rasmussen de inicio tardío.
Authors: Salvatierra Andreé , Díaz-Victoria Ana Ruth
Published: November 2024

El síndrome de Rasmussen (SR) es una rara encefalitis caracterizada por la inflamación de un hemisferio cerebral que cursa con atrofia, deterioro neurológico y cognitivo. Se presenta a una paciente de 42 años, sin antecedentes previos significativos y con diagnóstico de epilepsia desde los 24 años, reporta crisis epilépticas en distintas ventanas de tiempo con cese temporal, pero con constantes reinstalaciones de episodios más agudos y farmacorresistentes. La exploración neurológica destaca hipercinesia de las extremidades, con movimientos de flexión y extensión persistentes. La evaluación neuropsicológica realizada con el test de MoCA, figura compleja de Rey y Token test, evidencian deterioro cognitivo severo con presencia de síntomas psiquiátricos. Asimismo, los resultados del electroencefalograma muestran enlentecimiento unilateral hemisférico con comienzo focal unilateral y la resonancia magnética evidencia atrofia generalizada del hemisferio izquierdo, elementos que respaldan el diagnóstico para SR de inicio tardío. Para finalizar, se ofrece información sobre las manifestaciones neuropsicológicas asociadas.
Efficient Power Outage Solution in Nigeria University Laboratories Using Micro-Controller Based Portable Solar Generator
Authors: Emmanuel N. Ifeagwu , Ihekeremma A.U. Ejimofor
Published: November 2024

This paper concentrates on the efficient power outage solution in Nigeria University laboratories using Micro- controller based portable Solar Generator. The design specification include the System Capacity 1000Volts Ampere, modified Sine wave alternating current power, Output Voltage: 220-240 Volts, Output Frequency: 50Hz, battery Bank Capacity: 12Volts/40Ampere-hour, Solar Panel Specification: 30Watts, Pulse width modulator charge controller. During the design a voltage level of 5Volts was fed from preamplifier to the switching Metallic Oxide Silicon Field Effect Transistor that produces the gate current of 0.05 Ampere: Result showed that the oscillator rated output of 5v was obtained at pins 11 and 14 to switch the transistor. Result also showed that the frequency of the oscillator was adjusted and measured until standard frequency of 50Hz was achieved, for the MOSFETs operating at 50Hz and the period of the switching was 0.02sec. The transformer secondary voltage was measured and it gave the expected output of 230v.
The Effect of Smart Grid Technology for Future Energy Sustainability in Nigeria's Power System
Authors: E.N. Eleje , I.A. Ejimofor , S.E. Ani
Published: November 2024

The effectiveness and efficiency of Nigeria's power system are impacted by some inherent disadvantages of interconnected power systems, despite their benefits in providing mutual support during emergencies and gaining the financial advantage of new large-scale generation and transmission facilities. Practical experience with well-developed systems indicates that these disadvantages are quite noticeable. When a huge, linked system reaches a virtual elastic limit, it must collapse to preserve stability and dependability. The smart grid system is the answer. The idea, characteristics, and suitability of smart grids for developing nations like Nigeria are covered in this paper. New developments in Nigeria's electricity sector are also emphasized and spoken about.
Energy and Financial Analysis of Dual Fuel Gas Turbine Generator System
Authors: Sugiarto Heru , Christwardana Marcelinus , W. Widayat
Published: November 2024

The paper focuses on analyzing the energy and financial viability of a dual-fuel gas turbine generator (GTG) system, which operates on both diesel and natural gas. The study evaluates the GTG's performance in a gas processing facility located in East Java, which utilizes three GTGs configured to run two at a time with one on standby, each with a capacity of 13.7 MW. The exhaust gases from these GTGs are currently unused, representing a potential energy resource for the facility's steam requirements. To address this, a Heat Recovery Steam Generator (HRSG) system is proposed to harness the exhaust gas heat, producing medium-pressure (MP) and low-pressure (LP) steam. The study compares the thermal efficiency, power output, and cost-effectiveness of natural gas versus diesel fuel, considering their respective exhaust temperatures and flow rates. Results indicate that natural gas provides higher thermal efficiency, lower fuel consumption, and reduced emissions compared to diesel. Additionally, the HRSG using natural gas can produce more steam, enhancing the facility's overall efficiency. Financially, using natural gas could result in substantial savings, amounting to approximately $3,255.1 per hour. This analysis concludes that natural gas offers a more costeffective and environmentally friendly solution for GTG operations, optimizing both the steam production and power generation capacity of the facility.
EL ESPAÑOL AMERICANO EN EL BANQUETE DE ESTADO DE ARMAS ANTÁRTICAS (J. DE MIRAMONTES Y ZUÁZOLA, 1567-1611)
Authors: Katzen Virginia
Published: November 2024

Armas antárticas es un poema épico heroico escrito por Juan de Miramontes que recién ve su primera publicación en 1921. Uno de los tópicos clásicos del género desarrollados por el autor consiste en lo que podríamos denominar “banquete de estado”, protagonizado por los negros cimarrones de don Luis de Mazambique y los piratas ingleses comandados por John Oxenham en Bayano, Panamá. Este festín es desarrollado con una copiosidad alimentaria americana sin antecedentes literarios. El presente trabajo describe el léxico español americano utilizado por el autor para dar cuenta de los alimentos enumerados en el convite e intenta analizar el pasaje en función del tópico, algunos ecos literarios y los objetivos estéticos e ideológicos que se desprenden del mismo.
CIUDAD Y ORDEN EN LA ARAUCANA DE ALONSO DE ERCILLA
Authors: Chighini Arregui María Victoria
Published: November 2024

En este trabajo se abordarán las representaciones de la ciudad en La Araucana de Alonso de Ercilla. De acuerdo con la propuesta de Ángel Rama (1984) sobre el espacio urbano, en la época colonial, la organización de la ciudad pretendía representar el orden social y político. En este contexto, nos interesa analizar cómo se articulan estas imágenes del espacio urbano con la idea de orden, desde una perspectiva imperial, es decir, desde la mirada de los españoles. Partiendo de la idea de que en la épica americana se busca ilustrar la transformación del espacio, tensionado entre la frontera y la ciudad (FIRBAS, 2008), entendemos que estas imágenes de la urbe, especialmente en la primera parte del poema épico, tienen la función de mostrar la derrota de los españoles frente a los araucanos.
“VALIENTES COMO BOLÍVAR”: LOS MODELOS EJEMPLARES EN “TRES HÉROES” (1889) DE JOSÉ MARTÍ
Authors: Avilés Clara María
Published: November 2024

El presente trabajo examina la construcción de la imagen del héroe americano desde la perspectiva de José Martí en de la lectura de “Tres héroes”, un relato que recorre la lucha por la independencia latinoamericana a partir de un homenaje a las biografías de Simón Bolívar, Miguel Hidalgo y Costilla y José de San Martín, los líderes más importantes del proceso. El análisis se centra en un breve artículo publicado en el primer número de la revista La Edad de Oro, editada en 1889, durante la residencia del escritor cubano en la ciudad de Nueva York y dedicada a los niños de América. Al alentar a los jóvenes lectores a emular a estos héroes para contribuir a un futuro más prometedor para el continente, Martí despliega en su texto una visión estético-política del héroe, adaptada a su público infantil. En esta obra, el autor se enmarca en un programa que subraya la importancia del héroe en la conformación de la identidad y en la lucha por la libertad de las naciones de América Latina.
Публикационная активность преподавателей Ленинградской духовной академии (1958–1964)
Authors: Н.А. Тарнакин
Published: November 2024

В статье анализируется публикационная активность преподавателей Ленинградской духовной академии в 1958–1964 гг., в период т. н. хрущевских гонений. Предметом рассмотрения являются богословские статьи преподавателей Академии, опубликованные в «Журнале Московской Патриархии» и сборнике «Богословские труды». Данные публикации распределены по тематикам: 1) библеистика; 2) богословие; 3) патрология; 4) история; 5) церковно-практические дисциплины; 6) инославие, экуменическая деятельность. Показано преобладание статей, посвященных т. н. борьбе за мир. Отмечено, что ряд работ — профессора А. И. Иванова, священника Михаила Мудьюгина, епископа Михаила (Чуба), профессора Н. Д. Успенского — отличается высоким научным уровнем. Делается вывод, что на фоне развернувшейся в стране антирелигиозной кампании сам факт продолжения научно-исследовательской работы в ЛДА, проявляющейся, в частности, в публикационной активности преподавателей, воспринимается как своего рода сопротивление академической корпорации давлению государства. Также отмечается, что отдельные статьи сохраняют научную ценность по сей день.

The article analyzes publishing activity of teachers of Leningrad Theological Academy in 1958–1964, during the period of the so-called Khrushchev’s persecutions. The subject of consideration is theological articles by professors of the Academy, published in the “Journal of Moscow Patriarchate” and “Theological Works” collection. These publications are divided into rubrics according to the following topics: 1) biblical studies; 2) theology; 3) patrology; 4) history; 5) church-practical disciplines; 6) heterodoxy, ecumenical activity. The predominance of articles devoted to the so-called fight for peace is shown. At the same time, it is noted that a number of works — by Prof. A. I. Ivanov, priest Mikhail Mudyugin, Bishop Mikhail (Chub), Prof. N. D. Uspensky — are distinguished by a high scientific level. It is concluded that against the background of the anti-religious campaign unfolded in the country, the very fact of continuing research at Leningrad Theological Academy, manifesting itself particularly in the publication activity of professors, is perceived as a kind of resistance of the academic corporation to state pressure. It is also noted that individual articles retain their scientific value to this day.
Revealing the Implementation of the Child-Friendly Healthy School Program and its Effectiveness on Health Literacy and Psychological Well-Being to Achieve the SDGs
Authors: Edwita  , Hasanah Uswatun , Marini Arita
Published: November 2024

Objective: This study aims to describe implementing the child-friendly healthy school program and its effectiveness in improving elementary school students' health literacy and psychological well-being to promote health and well-being in achieving the SDGs.
 
Theoretical Framework: Health education provides learning experiences that influence thoughts, feelings, and actions to achieve life goals and become better, healthier, and more productive, leading to improved health literacy and psychological well-being.
 
Method: Quantitative descriptive research is used to describe implementing a child-friendly, healthy school and calculate its effectiveness test. Respondents, including ten elementary school teachers and 360 elementary school students from various schools in Jakarta Province in Indonesia, tested it.
 
Results and Discussion: The results showed a significant increase in knowledge about health literacy (36.5% before training; 68.7% after training; p <.05) and students' psychological well-being (49.8% before training; 86.05% after training. The responses of teachers and students showed that the child-friendly healthy school program was very good and succeeded in stimulating the Health Literacy and Psychological well-being of elementary school students.
 
Research Implications: This child-friendly healthy school program can be a recommendation for teachers to instil self-awareness of physical and mental health in students and input for other educators to realize a comfortable and enjoyable child-friendly healthy school to achieve the SDGs.
 
Originality/Value: The originality of this research is that the child-friendly healthy school program to achieve SDGs has yet to be done at elementary schools surrounding Jakarta Province in Indonesia.
Overview of the problems of VET education: an Attempt for Classification and Cross-Mapping the Problems from 2024: A Case study
Authors:   Sofia university- Bulgaria, Faculty of Pedagogy ORCID: 0009-0008-0863-1516, Vasilev Iliyan
Published: November 2024

This study systematically examines the multifaceted challenges facing vocational education and training (VET) in Bulgaria, highlighting the persistent issues that undermine the effectiveness of the system. Through a comprehensive classification of these challenges, the research identifies key areas such as inadequate funding, outdated curricula, insufficient industry linkages, and a lack of qualified teaching personnel. The analysis reveals that long-term neglect, frequent political shifts, and ineffective policy measures have contributed to a significant skills gap among graduates compared to their predecessors. It summons cores of the multi-layered long-standing problems in Vocational education in Bulgaria. Long-term neglect, frequent changes in the views of various political entities with a strong influence on vocational education, inadequate malapropos and untimely fragmented half-measures, as well as the lack of the participation of serious business and expertise in vocational education are among the many reasons for the low level of technical and professional skills of the modern graduate of a vocational high school compared to his predecessor from the time of Polytechnicism. The absence of a cohesive framework for cooperation between educational institutions and industry stakeholders exacerbates the disconnect between VET programs and labor market needs. The paper also aims to provide a structured overview of the current state of VET in Bulgaria, offering insights that can inform future policy development and strategic interventions.
Cancel Culture: Unveiling the Dark Side of Social Media for Brands – A Systematic Literature Review
Authors:   University of Sumatera Utara, Medan, Indonesia, Yanti Novi , Tinambunan Mey Ramayanti ,   University of Sumatera Utara, Medan, Indonesia, Nasution Irmayanti ,   University of Sumatera Utara, Medan, Indonesia, Situmorang Syafrizal Helmi ,   University of Sumatera Utara, Medan, Indonesia, Sembiring Beby Karina Fawzeea ,   University of Sumatera Utara, Medan, Indonesia
Published: November 2024

The phenomenon and terminology of cancel culture are proliferating with the increasing use of social media in Indonesia. Through these platforms, the cancel culture movement is widespread and poses a significant threat to brands and products. However, research related to cancel culture in marketing is still limited. This research aims to describe the cancel culture phenomenon in marketing through a systematic literature review of 53 articles published from 2014 to 2024, with sources from ABDC and Scopus-indexed journals (Q1-Q4). The research identified relevant themes, methodologies, theories, variables, antecedents, consequences, and existing research gaps through this analysis. Based on these findings, the research proposes an integrative framework that describes the influence of cancel culture on brands, particularly the role of social media. The results also identify future research directions, including knowledge gaps in theory, methodology, and research context. The implications of this research are expected to contribute to developing marketing theory and practice related to cancel culture.
Understanding of Tax Directorate General Employees on Taxpayer Compliance Behavior
Authors:   Faculty of Economics and Business, Universitas Udayana, Indonesia, Arisanti I Gusti Ayu Putri , Sujana I Ketut ,   Faculty of Economics and Business, Universitas Udayana, Indonesia
Published: November 2024

Revenue from the taxation sector is the main pillar of state revenue in the State Budget (APBN). However, the Tax ratio, tax capacity, tax effort and tax bouyancy are still very low in Indonesia, indicating that taxpayer compliance behavior in Indonesia is also still very low. Policy is a challenge in efforts to optimize state revenue, especially tax revenue to improve compliance. By understanding the factors that influence compliance behavior, policy makers can develop stronger and more effective ways of dealing with compliance risks. Based on the problems studied, the study uses a qualitative research type. The qualitative approach concentrates more on interpretation and understanding. In terms of data collection and analysis, this approach is sensitive to the context that aims to holistically understand the problems being studied. Qualitative research aims to obtain and understand the meaning of a context in its natural setting and does not prioritize generalization. The results of the analysis show that all informants agree and agree that taxpayers have non-compliant behavior in carrying out their tax obligations. Informants interpret that being compliant can only be obtained from the character of taxpayers, internal factors. Then followed by the influence of external factors in the form of economic factors and the environment of Taxpayers. According to informants, most taxpayers are not compliant due to ignorance, it is very important to ensure that the right tax information according to taxpayers' needs is conveyed clearly by the tax authorities. Supervision from the tax authorities and law enforcement efforts from the tax authorities can encourage taxpayers to behave compliantly. Taxpayers who are already compliant expect service and convenience. Meanwhile, taxpayers who decide not to comply require extra supervision according to tax regulations. Compliance or non-compliance with tax regulations is the result of ongoing interaction between the tax authorities and taxpayers.
The Effectiveness of Promotion on Social Media Instagram Using Direct RatingMethod (A Case Study at Mini Organic Mart Surabaya)
Authors:   Universitas Pembangunan Nasional “Veteran” Jawa Timur, Jl. Rungkut Madya. Gn. Anyar, Kec. Gn. Anyar, Surabaya, Jawa Timur60294, Yuliati Nuriah , Syah Mirza Andrian ,   Universitas Pembangunan Nasional “Veteran” Jawa Timur, Jl. Rungkut Madya. Gn. Anyar, Kec. Gn. Anyar, Surabaya, Jawa Timur60294
Published: November 2024

Mini Organic Mart is a retail business that provides quality healthy and organic products. Mini Organic Mart has been promoting using social media, especially Instagram since 2016, but the way to attract consumer attention through social media is still low. Based on a preliminary survey, the average number of “likes” on popular photo reaches around 15 likes only. For business account, this number is relatively low. The aim of this research is to analyze the effectiveness of promotion conducted by Mini Organic Mart through its Instagram account. The analysis method used in this research is the Direct Rating Method. The primary data was obtained through the distribution of questionnaires via Instagram story, the sample was taken as many as 100 respondents through follower’s @jualprodukorganik_mom. The result of the research stated that the promotion carried out was very effective and the total direct rating score was 68.16 which was included in good promotion category.
Market Reaction to Dividend Announcement during the Covid-19 Pandemic on the Indonesian Stock Exchange
Authors:   Faculty of Economics and Business, Universitas Udayana, Indonesia, Mardita I Gede , Badera I Dewa Nyoman ,   Faculty of Economics and Business, Universitas Udayana, Indonesia
Published: November 2024

This research uses Average Abnormal Return and Trading Volume Activity to test the market reaction around the dividend announcement date. Tests using these two parameters are expected to provide a more comprehensive description of market reactions. This research is quantitative research using secondary data. Even study method with a window period of 5 days before and 5 days after the dividend announcement date. Abnormal returns were calculated using a market model for 252 dividend announcement events on the Indonesia Stock Exchange in 2020. The sample was determined using purposive sampling technique and data analysis using the IBM SPSS Statistics 25.0 application. The research results show that there is a market reaction in terms of abnormal returns and differences in trading volume activity when cash dividends are announced during the Covid-19 pandemic. The announcement of an increase in the value of cash dividends and a decrease in the value of cash dividends during the pandemic caused a market reaction characterized by a significant positive average abnormal return. Meanwhile, for the announcement of the provision of dividends and the elimination of dividends, there were no significant average abnormal returns and no significant differences in trading volume activity.
Pertanggungjawaban Pidana dan Penanggulangan Tindak Pidana Pencabulan terhadap anak
Authors: Samai Butria , Toule Elsa Rina Maya , Hattu Jacob
Published: November 2024

Introduction: This study discusses the legal regulation of the crime of molestation of children and the criminal liability of the perpetrators of the crime of molestation against children in the case.Purposes of the Research: To analyze and discuss legal regulations regarding criminal acts of molestation against children and explain criminal responsibility for perpetrators of criminal acts of molestation against children in Halong Baru, Baguala District, Ambon City.Methods of the Research: The research method used is normative juridical research. This research uses three problem approaches, namely the statutory approach, the conceptual approach and the case approach. The data sources obtained are primary legal materials and secondary legal materials. The technique for collecting legal materials uses the literature study method. All data in this study were analyzed qualitatively.Results of the Research: The results of this research show that, criminal responsibility for perpetrators of criminal acts of sexual abuse against children is a further consequence that must be accepted or borne by the defendant. During the trial process, the defendant was in good physical and mental health and no reason was found to erase the crime, in this case either a justifying reason or a forgiving reason, so that the defendant was able to take responsibility for the actions he committed. The efforts made to overcome acts of sexual abuse against children are carried out with preventive and repressive efforts by law enforcement and other institutions.
Revolutionizing Sustainable Energy: Cutting-Edge AI Applications and Innovations
Authors: Kota Girishkumar  , Dr. Dhinakar
Published: November 2024

The intersection of Artificial Intelligence (AI) and sustainable energy is paving the way for groundbreaking innovations that promise to revolutionize how we produce, consume, and manage energy. This paper delves into cutting-edge applications of AI, including advanced predictive analytics, blockchain integration, and autonomous energy systems, highlighting their potential to transform the sustainable energy landscape. By showcasing real-world applications and future directions, we underscore AI's role in driving sustainable practices and addressing global energy challenges.
Medical Image Segmentation
Authors: Arpit Mohankar  , Aishwarya Nagpure  , Sania Shaikh  , Khushi Singh  , Firdous Jahan Shaikh
Published: November 2024

Medical image segmentation is a critical component in the development of computer-aided diagnosis and treatment planning systems. This paper provides a comprehensive survey of recent advances in segmentation techniques applied to various imaging modalities, including Magnetic Resonance Imaging (MRI). Traditional methods such as thresholding, region-growing, and active contours are reviewed alongside contemporary machine learning-based approaches, particularly deep learning models. The survey emphasizes the growing dominance of convolutional neural networks (CNNs) and their variants, including U-Net and Fully Convolutional Networks (FCNs), which have shown remarkable success in handling complex medical imaging challenges. Additionally, the paper discusses hybrid methods that combine classical techniques with artificial intelligence to improve accuracy and robustness in segmentation tasks. Key challenges such as class imbalance, boundary delineation, and computational efficiency are also highlighted. Future directions, including the integration of multi-modal data and advancements in self-supervised learning, are explored as potential solutions to overcome current limitations in medical image segmentation.
Study the process of producing methane gas (CH4) used for industrial purposes using the method (Biogas)
Authors: Hadi Araa Ali , Mahdi Noor Mahmood
Published: November 2024

The methane gas (CH4) production includes many conditions and capabilities, it is useful for industrial purposes, and can be produced in a biological methods called (biogas). This technique depends on the anaerobic fermentation process of organic waste and is carried out by bacteria to give an organic fertilizer that is rich in protein and nitrogen, therefore it is a suitable, promising technology for a triangle (energy, development, and environment). This mixture is a flammable gas resulting from the fermentation of organic matter away from air by anaerobic bacterial microbes resulting in the formation of methane (NH4) at a rate of (75%), and carbon dioxide CO2 by (20%), and the rest the ratios are few hydrogen (H2), nitrogen (N2), and hydrogen sulfide H2S. And that the methane gas (CH4), which will be a colorless gas, ignites without smoke from it, creating a highly heated blue flame, and is lighter than the air, with a burning temperature of about (700 C ).
Designing Multimedia Instructional Materials using Gagne’s Framework in Promoting Adult Learners’ Asynchronous Learning Experiences
Authors: Aziz Azlan Abdul , Othman Ahmad Kamalrulzaman , Sokman Yusnita , Yahaya Syamsul Ariffin
Published: November 2024

This research addresses the challenges faced in Distance Education (DE) by investigating the impact of carefully designed multimedia instructional materials in creating a conducive asynchronous learning experience for adult learners. With the increasing integration of digital technologies in higher education, especially in DE, it becomes imperative to assess and optimize the various teaching tools available to ensure effective educational delivery. The unique challenge in DE is that adult learners often study in isolation, with limited instruction, and at a distance from traditional classroom activities. To mitigate these challenges, multimedia instructional materials are recognized for their potential to enhance the learning experience. This study delves into how the design of instructional materials, supported by technology, contributes to improving the asynchronous learning experience digitally and subsequently the learning outcomes. Well-designed instructional materials have been identified as crucial determinants of success, emphasizing the need for a learner-supported approach employing carefully selected instructional design. It is suggested that institutions offering DE prioritize the creation of high-quality multimedia instructional materials rooted in suitable learning theories, in supporting adult learners in DE to enhance learner satisfaction, improve academic performance, and reduce attrition rates. Further exploration and evaluation of this instructional design framework are certainly called recommended for a testament enhanced credibility for the said framework.