bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Affecting the Response of Triple-Negative Breast Cancer (TNBC) to Neoadjuvant Chemotherapy: A Meta-Analysis
Authors: Aji Haivan Kusuma , Monty Priosodewo Soemitro
Published: September 2024

Background: Triple-negative breast cancer (TNBC) is an aggressive subtype with limited treatment options. Neoadjuvant chemotherapy (NAC) is often used to downstage tumors before surgery, but response rates vary. This meta-analysis aims to identify factors that influence TNBC’s response to NAC.
Methods: PubMed, Embase, and Cochrane Library databases were searched (2018-2024) for studies evaluating factors associated with TNBC response to NAC. Data on patient demographics, tumor characteristics, NAC regimens, and response rates were extracted. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using random-effects models.
Results: Twenty-three studies (n=4,512 patients) were included. Younger age (OR 1.82, 95% CI 1.35-2.46), smaller tumor size (OR 0.58, 95% CI 0.41-0.82), lower clinical stage (OR 0.39, 95% CI 0.27-0.56), and absence of lymph node involvement (OR 0.42, 95% CI 0.31-0.57) were associated with improved pathological complete response (pCR) rates. NAC regimens containing platinum agents (OR 2.15, 95% CI 1.54-2.99) and immune checkpoint inhibitors (OR 1.78, 95% CI 1.23-2.58) also showed higher pCR rates.
Conclusion: This meta-analysis identified several factors associated with improved TNBC response to NAC, including younger age, smaller tumor size, lower clinical stage, absence of lymph node involvement, and use of platinum-based or immunotherapy-containing NAC regimens. These findings can inform patient selection and treatment optimization for NAC in TNBC.
Pembentukan Responsible Consumer dengan Pendekatan Lifestyle of Health and Sustainability (LOHAS) untuk Mendukung Pembangunan Berkelanjutan di Indonesia
Authors: Aprianti Vika , Retnowati Ayu Nike , Putra Okta Eka
Published: September 2024

Penelitian ini bertujuan untuk meninjau sustainable lifestyle dengan latar belakang paradigma pembangunanberkelanjutan. Secara spesifik penelitian ini bertujuan untukmengetahui apakah sustainable lifestyle tersebut mendukungterbentuknya responsible consumer, bagaimana sustainable lifestyle dapat dioperasionalkan, dan bagaimana perlakuanyang tepat terhadap responsible consumer di Indonesia. Penelitian ini menggunakan metode kausalitas denganpendekatan kuantitatif. Populasi yang menjadi sasaranpenelitian adalah konsumen green product secara umum di Indonesia dengan jumlah sampel sebanyak 238 responden. Teknik analisis yang digunakan dalam uji hipotesis adalahStructural Equation Model (SEM). Hasil penelitian secaraverifiktif ditemukan bahwa arah hubungan LOHAS denganConsumer Behavior adalah positif dengan total pengaruhsebesar 72,7%, dan arah hubungan Consumer Behavior dengan Responsible Consumer adalah positif dengan total pengaruh sebesar 82,2%.  Secara parsial, hanya variabelspiritual health yang tidak berpengaruh signifikan terhadapperubahan consumer behavior. Kemudian, hasil perolehanperhitungan efek mediasi menunjukkan hanya variabelspiritual health tidak mampu dimediasi oleh consumer behavior. Sehingga, disimpulkan bahwa determinan LOHAS yang berpengaruh terhadap responsible consumer melaluivariabel consumer behavior adalah Physical Fitness, Mental Health, Emotional Health, Environmentalism, dan Social Consciousness.
ПОРІВНЯЛЬНИЙ АНАЛІЗ ПОКАЗНИКІВ МІКРОНУТРІЄНТІВ І БІЛКОВОГО ОБМІНУ У ДІТЕЙ НА РІЗНИХ ВИДАХ ПРИКОРМУ
Authors: Tarshyna Kateryna , Sharikadze Olena
Published: September 2024

Вступ. «Відлученням під керівництвом дитини» (англ. Baby led weaning, BLW) – порівняно новий, альтернативний метод введення дитині прикорму, який є досить поширеним у багатьох країнах світу. Цей метод дозволяє дітям самостійно брати їжу із сімейного столу, яка готується і подається, щоб бути безпечною для немовлят. Дослідження недоліків і переваг BLW-прикорму, особливо щодо впливу на ріст і розвиток дитини, а також засвоєння нею достатньої вікової кількості макро- і мікронутрієнтів залишається предметом дискусій.
Мета роботи. Проведення порівняльного аналізу ефективності застосування різних видів прикорму на підставі визначення рівнів заліза, кальцію і показників білкового обміну на шостому та дванадцятому місяцях життя дітей.
Матеріали і методи. У дослідження залучено 146 дітей віком 6-7 місяців. Залежно від методу прикорму, діти були розділені на 3 групи: перша група – діти, які знаходились на BLW-прикормі (47 осіб), друга група – діти, які отримували традиційне вигодовування (43 особи) та третя група – діти, яким пропонували змішаний тип вигодовування (56 осіб). Дослідження біологічного матеріалу проводили двічі: до та через 6 місяців введення різних видів прикорму. На проведення досліджень отримано інформовану згоду пацієнтів (батьків/опікунів). Статистичний аналіз проводився з допомогою програмного забезпечення JASP.
Результати та їх обговорення. У ході дослідження встановлено різницю між динамікою зміни досліджуваних лабораторних показників у групах дітей на різних видах прикорму. У 1-й групі дітей на BLW-прикормі за 6 місяців рівень загального білка мав значну тенденцію до зниження, а рівні кальцію (р=0,039), заліза (р=0,046) і гемоглобіну (р=0,034) вірогідно зменшились порівняно з даними перед введенням прикорму. У 2-й групі дітей на традиційному прикормі жодних статистичних змін і тенденцій у досліджуваних показниках не спостерігалось. У 3-й групі дітей на змішаному вигодовуванні виявлено збільшення рівнів глюкози (р=0,044) в 12 місяців, однак дані показники були в межах прийнятої норми. За даними однофакторного порівняльного аналізу, на 12-му місяці життя між дітьми усіх груп не визначено різниці у рівнях глюкози (F=0,244, p=0,784), натомість рівні кальцію (F=3,084, p=0,049), заліза (F=3,224, p=0,043), гемоглобіну (F=6,215, p=0,003) були меншими у дітей 1-ї групи на BLW-прикормі.
Висновки. У дітей на BLW-прикормі існують ризики недостатнього надходження у дитячий організм низки важливих мікронутрієнтів і ймовірного формування залізодефіцитної анемії. Отримані результати вказують на необхідність навчання матерів перед вибором BLW як виду прикорму для дітей відповідного віку, а в національному масштабі – розробки конкретних рекомендацій по модифікації BLW з акцентом на введення продуктів, збагачених кальцієм і залізом.
ОЦІНКА ФЕНОТИПІВ М1 ТА М2 МАКРОФАГІВ ТА ФУНКЦІОНАЛЬНОГО СТАНУ КЛІТИННОГО ІМУНІТЕТУ У ПАЦІЄНТІВ З РЕВІЗІЙНОЮ РИНОПЛАСТИКОЮ
Authors: Zhuravel Oleksii , Zaporozhets Tetiana , Khrapach Vasyl
Published: September 2024

Вступ. Післяопераційні деформації вважаються основним ризиком ринопластики. Сучасні дослідження зосереджуються на аналізі імунологічних аспектів запальної реакції, що відбувається під час трансплантації.
Метою нашої роботи було провести оцінку стану набутого та вродженого клітинного імунітету, зокрема М1- та М2-фенотипу макрофагів у пацієнтів з ревізійною ринопластикою.
Матеріали і методи. Під наглядом знаходилося 63 пацієнти, яким було проведено ревізійну ринопластику з використанням реберного трансплантату. Для подальших досліджень пацієнти були розділені на дві групи за рівнем фібриногену. Усім пацієнтам проводили оцінку рівня М1 макрофагів (СD14+CD80+ і СD14+CD86+) та М2 макрофагів СD14+CD163+ і СD14+CD206+. Оцінку стану системної імунної відповіді проводили за рівнем СD3+ Т-лімфоцитів, CD4+-лімфоцитів, CD8+-лімфоцитів, CD19+- В-лімфоцитів та NK- лімфоцитів з використанням методу проточної цитометрії.
Результати. У пацієнтів з ревізійною ринопластикою, у яких виявлено підвищений рівень фібриногену, спостерігається збільшення рівня фенотипу М1 макрофагів (СD14+CD86+). Рівень макрофагів у пацієнтів з ревізійною ринопластикою, у яких рівень фібриногену в нормі, характеризується підвищенням рівня макрофагів М2 фенотипу макрофагів (СD14+CD163+ та СD14+CD206+). При оцінці стану набутої клітинної імунної відповіді вірогідних змін показників лімфоцитів виявлено не було.
Висновки. У пацієнтів з ревізійною ринопластикою виявлено порушення процесів гомеостазу, а саме процесу переходу М1-фенотипу макрофагів до фенотипу М2 макрофагів. Виявлені відмінності потребують подальших досліджень для вивчення їх патогенетичної ролі в розвитку ускладнень у пацієнтів з ринопластикою. Розуміння молекулярних механізмів, які регулюють активацію та поляризацію макрофагів та лімфоцитів може дати нове розуміння патогенезу розвитку післяопераційних ускладнень для пошуку подальших потенційних терапевтичних цілей з метою запобігання розвитку ускладнень після ринопластики.
Inadmisión y desestimación de plano
Authors: Baño León Jose María
Published: September 2024

La falta de una depuración conceptual de las nociones de inadmisibilidad y desestimación a limine en la legislación española (LOTC, LPAC; Lex) además de generar confusión puede producir efectos perversos. Por eso cuando la ley habla de inadmisibilidad por motivos de fondo lo que está consagrando es una desestimación a limine y el régimen jurídico no puede ser otro que el de la resolución desestimatoria. Al hilo de esta distinción se aclara el régimen de la llamada inadmisión de la cuestión de inconstitucionalidad por falta manifiesta de fundamento (art. 37 LOTC), que es una simple desestimación a limine y se explica los supuestos en los que la inadmisión de la solicitud de revisión de oficio y del recurso extraordinario de revisión son desestimaciones de plano con las consecuencias jurídicas que ello comporta.
CHANGES IN THE HEALTH SYSTEM OF UZBEKISTAN DURING THE YEARS OF WORLD WAR II (ON THE EXAMPLE OF NAMANGAN REGION)
Authors:   Doctoral student, Namangan State University, Uzbekistan, Khasanov Bunyod
Published: September 2024

The article highlights the priority of the needs of the front in the organization of the health system, the organization of evacuation hospitals for the treatment of wounded soldiers, the retraining of doctors as military doctors, the number of hospitals in the region during the war years, the spread of various infectious diseases among the population based on the analysis of primary documents.
Gamificación en el Desarrollo de Competencias Matemáticas en Quinto Grado
Authors: Castillo Calderón Ana Cristina , Chillogallo Ordóñez Jaime Efrén
Published: September 2024

El objetivo fue establecer el aporte de la gamificación en el desarrollo de competencias matemáticas en estudiantes de quinto grado. La investigación corresponde al enfoque mixto, tipo de investigación correlacional; con diseño cuasiexperimental; los métodos: documental, hermenéutico, analítico y estadístico; las técnicas: encuesta a docentes y test de comprensión numérica; los instrumentos: cuestionario a docentes y cuestionario de comprensión numérica. El muestreo: no probabilístico, compuesto por tres docentes y trece estudiantes. Respecto a los resultados, los estudiantes inicialmente se encontraron en las cuatro escalas de aprendizaje: Domina aprendizajes (19-24); Alcanza los aprendizajes requeridos (13-18); Próximo a alcanzar los aprendizajes requeridos (7-12); No alcanza los aprendizajes requeridos (≤ 6). Luego de ejecutar la propuesta se evidenció un progreso marcado, avanzando hacia niveles superiores. En cuanto, a los docentes no todos hacen uso de actividades de gamificación. Sin embargo, se demostró que esta metodología no solamente permitió un aprendizaje activo y significativo, sino también, aportó a la consecución de habilidades y destrezas necesarias para enfrentarse al contexto real y a la toma de decisiones teniendo un pensamiento más crítico y reflexivo.
Ciencia Escolar y Afinidades Científico-Tecnológicas: Tres Perfiles del Estudiantado de Enseñanza Media Superior de Uruguay
Authors: Lerette Borzani Silvy Gabriela , Manassero-Mas María Antonia , Vázquez Alonso Ángel A. , Castelló Gómez María Esmeralda
Published: September 2024

Este trabajo tiene como objetivo indagar las actitudes del estudiantado de Enseñanza Media Superior de Uruguay hacia la ciencia escolar. Se aplicó el cuestionario del proyecto internacional ROSES a una muestra representativa (623) de estudiantes de primer año de Enseñanza Media Superior pública. Luego del Análisis Factorial Exploratorio, los casos se clasificaron en tres conglomerados para el análisis descriptivo y jerárquico. El estudio reveló tres perfiles de estudiantes según su valoración de la ciencia escolar para la vida, y de las actividades curriculares, y su afinidad por las asignaturas y carreras de ciencia y tecnología. El más representado (47,2 %), acordó con que las actividades curriculares ayudan a aprender, mostró desacuerdo con el valor de las asignaturas de ciencias para la vida y no mostró afinidad por las asignaturas o carreras de ciencia y tecnología. Otro, medianamente representado (35,6 %) mostró desacuerdo con la utilidad de las actividades curriculares para aprender ciencia, valoró positivamente las clases de ciencias y no mostró afinidad por las asignaturas o carreras de ciencia y tecnología. El menos representado (17,2%), mostró acuerdo con las actividades y el valor de la ciencia para la vida y afinidad por las asignaturas o carreras de ciencia y tecnología.
Botrytis spp.: Importancia Económica, Biológica y Ecológica
Authors: Gutarra García Brandon lee
Published: September 2024

Botrytis spp. es uno de los patógenos más importantes de las plantas a nivel mundial, existiendo muchas especies de este hongo, que generan daños económicos inmensurables a los agricultores y productores si está no se controla a tiempo. El objetivo de esta investigación es dar a conocer a la comunidad científica la importancia económica, biológica y ecológica que tiene este fitopatógeno, Botrytis spp. a escala mundial y como ha ido creciendo su importancia desde antaño hasta la actualidad. En esta investigación se realizó una revisión sistematica de toda la literatura que sean referidos al tema con un diseño no experimental, descriptivo y análitico. Por lo mismo se ha acudido a busquedas de la información en fuentes que sean verídicas, fiables y sean conocimiento obtenido producto del método científico, como lo son los artículos que están disponibles en las bases de datos como Scielo, WOS, Scopus, Science Direct y otras bases de datos con exigencia científica. En base a las revisiones sistemáticas se puede concluir que Botrytis spp. es uno de los hongos más importantes a nivel económico, biológico y ecológico lo cuál es contrastado por los efectos que ocasiona si no se controla; desde perdidas económicas, perdida de biodiversidad y alteración del equilibrio ecológico.
Medición de la DQO como Parámetro Eficaz en el Control Ambiental en Descargas de áreas Urbanas
Authors: Guarnizo Crespo Dalton Michel , Lapo Escobar Liliana Marisol , Rodriguez Iñiguez Dayana Lisbeth
Published: September 2024

El estudio aborda la medición de la Demanda Química de Oxígeno (DQO) para evaluar la calidad del agua en las descargas residuales de la ciudad San Francisco de Milagro. El principal objetivo es determinar la concentración de materia orgánica e inorgánica en el agua, comparando los resultados con la normativa ecuatoriana establecida en el Texto Unificado de Legislación Secundaria del Ministerio de Ambiente (TULSMA) El problema identificado es que el vertido de materia orgánica en altas concentraciones reduce el oxígeno disuelto, afectando negativamente a la vida acuática y, en consecuencia, a la biodiversidad. Este parámetro es crucial para monitorear y proteger los cuerpos de agua receptores de contaminantes. El análisis del caso se basa en la DQO como indicador de la calidad del agua, midiendo la cantidad de oxígeno necesario para oxidar completamente la materia orgánica presente. Los métodos tradicionales, como el uso de dicromato y permanganato de potasio, aunque efectivos, presentan desafíos operativos y riesgos de contaminación secundaria​. Finalmente, el estudio concluye que mejorar la calidad del agua es esencial para la protección del medio acuático y la salud pública, recomendando un monitoreo continuo y una gestión adecuada de los recursos hídricos, y hacer conciencia a la empresa privada
El Efecto del Estado Depresivo en Relacion con el Libido o Deseo Sexual
Authors: Castro Gomez Denisse , Sánchez Soto Juan Manuel , Martínez Reyes Magally , Gomez Denisse Castro
Published: September 2024

El presente trabajo de investigación tiene como objeto de estudio el efecto del estado depresivo en la relación con el libido o deseo sexual, para medir los niveles de depresión se utilizó el inventario de Depresión de Beck-Segunda Versión, BDI-II; es un instrumento de auto aplicación de 21 ítems para determinar la evaluación del deseo sexual inhibido (DSI) JM. Farre/M.G. Lasheras. 2002, este es un cuestionario aproximativo, las primeras 11 preguntas serían las determinantes. Si responde positivamente 6 o más es probable que padezca alguna forma de DSI. De la 12 a la 14 son potenciadores o agravantes de las anteriores. De la 15 a 17 se establecen como consecuencia del DSI. De acuerdo a la evaluación del deseo sexual inhibido el 45,5% de los alumnos piensan poco en el sexo, como consecuencia el 34,5% tienen escaso impulso sexual, reduciéndose el libido, secundario a los problemas antes evaluados de depresión, baja autoestima y la perdida de la iniciativa al iniciar las relaciones sexuales siendo esta del 29,1%,, ocasionando que el 12,7% buscan excusas para evitar el sexo e inclusive tener la posibilidad del rechazo absoluto, generando que la frecuencia de las relaciones sexuales disminuyan hasta más del 50% en el 41,8% de los alumnos encuestados. Sin embargo, al 52,7% puede que lleguen a gustarle las caricias siempre y cuando estas no terminen en sexo, si se llega a establecer una relación sexual el 20% demuestra poco nivel de concentración hacia el sexo, el 12,7% sienten las relaciones sexuales mecánicas y sin placer, las fantasías sexuales del 23,6% se han anulado. Sin embargo, el 1,8% de la población considera que la relación de pareja se ha deteriorado por culpa del sexo, mientras que el 98,2% consideran que su relación no se deteriora por culpa del deseo sexual. Es alarmante la cantidad de alumnos que presentan depresión moderada a grave, siendo esto preocupante, pues esto desencadena a la larga depresión crónica como conlleva al suicidio en un largo plazo, cabe mencionar que el 18,2% han tenido pensamientos sobre matarse. Es importante llevar a cabo acciones preventivas, la depresión en la salud mental de los estudiantes afecta las relaciones e interacción con las demás personas, el estrés académico existe y los alumnos lidian para cumplir una expectativa alta, tratando de manejar una carga excesiva de trabajo.
The Effects of Muscular Strength and Biochemical Parameters on Mallampati Classification in Elite Athletes and Non-athletes
Authors: Erbesler Zeynel Abidin , Ulcay Tufan , Gürses Ömer Alperen , Uzun Ahmet
Published: September 2024

Aim: This study aimed to undertake an anthropometric assessment and to compare the muscular strength of elite athletes with that of a control group to predict Mallampati classification.
Material and Method: The study group consisted of elite track athletes, and the control group consisted of volunteers with similar characteristics. Anthropometric measurements of the hand, fingers, and wrist were made; handgrip strength and the pinch strength of the fingers were also measured. A serum biochemical analysis was then performed. Participants were divided into two groups: those with Modified Mallampati Scores (MMS) I and II, and those with III and IV. A partial correlation test was used to examine the correlations of the variables according to the MMS groups.
Results: The study included 32 elite athletes and 42 volunteer participants. Serum Na level, fingertip to root digit 3 (FTR3), and FTR4 were significantly lower in males in MMS groups 3-4. Among all cases, wrist extension angle (WEA) was found to be significantly lower in MMS group 3-4. However, hand breadth at thumb (HBT), hand depth radial (HDR), breadth at the first joint of digit 2 (BFJD2), pinch strength of thumb (PST), and PSLF were significantly higher in MMS groups 3-4. Among these variables, HBT, BFJD2, PST, and PSLF were significantly higher in elite athletes, but HDR was similar between the study groups. MMS groups showed the highest correlation with the pinch strength of the thumb.
Conclusion: The pinch strength of the thumb and little finger was determined as the most important predictors for the MMS group rather than the handgrip strength (HGS).
Innovative Nursing Faculty Education for Novice Educators
Authors: Austin Elizabeth N. , Ogle Kathleen T. , Hannafin Nancy M. , Crusse Elizabeth P. , Mark Hayley
Published: September 2024

Background:

The nursing faculty shortage in the United States affects enrollment of qualified nursing applicants. The gap may be filled by contracting with clinical nursing experts who often lack the content knowledge as academic nurse educators. Such content includes management of the classroom, evaluation, and legal issues. This article describes a course to provide new faculty with essential information for classroom teaching.

Method:

Nursing faculty were recruited from multiple education programs and enrolled in one of three sections of a course for new educators. Learners completed activities related to curriculum, evaluation, and academic roles.

Results:

Focus group evaluations were conducted. Themes emerged related to classroom teaching, learning experiences, improved understanding of nursing education, and knowledge for the scope of nursing faculty responsibilities.

Conclusion:

Each course provided experience in nursing education pedagogy and practice. Learners developed a wider array of teaching expertise and awareness of the faculty role in the classroom.

[
J Nurs Educ
. 2024;63(X):XXX–XXX.]
Enhancing sewage flow prediction using an integrated improved SSA-CNN-Transformer-BiLSTM model
Authors: Ye Jiawen , Dai Lei , Wang Haiying
Published: September 2024

Accurate prediction of sewage flow is crucial for optimizing sewage treatment processes, cutting down energy consumption, and reducing pollution incidents. Current prediction models, including traditional statistical models and machine learning models, have limited performance when handling nonlinear and high-noise data. Although deep learning models excel in time series prediction, they still face challenges such as computational complexity, overfitting, and poor performance in practical applications. Accordingly, this study proposed a combined prediction model based on an improved sparrow search algorithm (SSA), convolutional neural network (CNN), transformer, and bidirectional long short-term memory network (BiLSTM) for sewage flow prediction. Specifically, the CNN part was responsible for extracting local features from the time series, the Transformer part captured global dependencies using the attention mechanism, and the BiLSTM part performed deep temporal processing of the features. The improved SSA algorithm optimized the model's hyperparameters to improve prediction accuracy and generalization capability. The proposed model was validated on a sewage flow dataset from an actual sewage treatment plant. Experimental results showed that the introduced Transformer mechanism significantly enhanced the ability to handle long time series data, and an improved SSA algorithm effectively optimized the hyperparameter selection, improving the model's prediction accuracy and training efficiency. After introducing an improved SSA, CNN, and Transformer modules, the prediction model's $ {R^{\text{2}}} $ increased by 0.18744, $ RMSE $ (root mean square error) decreased by 114.93, and $ MAE $ (mean absolute error) decreased by 86.67. The difference between the predicted peak/trough flow and monitored peak/trough flow was within 3.6% and the predicted peak/trough flow appearance time was within 2.5 minutes away from the monitored peak/trough flow time. By employing a multi-model fusion approach, this study achieved efficient and accurate sewage flow prediction, highlighting the potential and application prospects of the model in the field of sewage treatment.
Supercritical retrograde solubility in R-14 and the second law of thermodynamics
Authors: Van Den Einde David
Published: September 2024

A closed transcritical power cycle is described that uses a positive excess enthalpy of solution reaction differential between the reaction in the cycle’s high-density liquid state and low-density expanded gas state to internally transfer heat energy. The heat energy input to
satisfy the solution reaction near the cycle’s low temperature is returned as heat during supercritical retrograde solubility near the cycle’s high temperature before that heat energy affects gas expansion. The power cycle format is used to frame this heat energy transfer so that
Carnot efficiency can be used to calculate the maximum second law allowed amount of heat energy that can be transferred. If the amount of heat transfer exceeds the determined minimum threshold, the cycle’s Q efficiency will surpass the cycle’s T efficiency. The process demonstrates
that the maximum positive excess enthalpy differential allowed by the second law is irreconcilably low.
Recession of Deimos from Mars: A cosmological interpretation
Authors: King Leslie A.
Published: September 2024

Phobos and Deimos, the two moons of Mars, are believed to have originated in the fragmentation of a primordial body while in a synchronous orbit between 1 and 2.7 × 109 years ago. The recession of Deimos to its current position is consistent with the hypothesis
that cosmological expansion, as described by the Hubble velocity‐distance relationship, operates at the local level.
A connection between the Darwin term and a nonspherical charge distribution
Authors: French John
Published: September 2024

A derivation of the Darwin term is given based on assuming a nonspherical charge distribution. The total translational energy of the system is obtained for a static electric field, and the corresponding quantum equation is found to contain the Darwin term under certain conditions.
The “flow of time” and its relation with the speed of light. A new interpretation
Authors: Cahen Claude Robert
Published: September 2024

In general relativity, the speed of light is considered as the only real invariant of the universe, while the flow of time would be an illusion. In quantum mechanics, conversely, time is constant, absolute, and universal. In this article, we support this concept and conclude that it
is this flow of time which not only controls and limits the speed of light but also, through its progression, uncovers the universe as we know it. In fact, the flow of time is the real “Marshal” of the universe.
Zongmu Technology
Authors: Ji Zhuoyue
Published: September 2024

This case study provides an in-depth market analysis of Zongmu Technology, a leading player in autonomous driving and advanced driver assistance systems (ADAS) in China. It explores the evolution of the automobile market from traditional vehicles to new energy vehicles, highlighting the shift from secondary software algorithms to full-stack solutions. The case study investigates Zongmu's strategic position, the competitive environment it operates in, and the difficulties it encounters when competing against major rivals such as Velodyne Lidar and Pony.ai. It also details the company's latest developments, including the introduction of new products like FlashBot and Lightning Bao by Silkworm Bush Robotics. The study delves into Zongmu's complex shareholding structure, strategic partnerships, and future projects, such as comprehensive intelligent driving systems, wireless charging for NEVs, and smart city solutions. Through this comprehensive analysis, the case aims to explain Zongmu Technology's strategies for growth and innovation in the rapidly developing autonomous driving market.
UISEE
Authors: Fang Jingtian
Published: September 2024

This case explores the dynamic landscape of the autonomous driving industry, focusing on UiSee Technology as a prominent player. It examines the competitive strategies, technological advancements, market dynamics, and regulatory influences shaping the sector. UiSee Technology, founded by Ganesha Wu in 2016, emerges as a key innovator in China's autonomous driving market, navigating partnerships with major industry players and expanding its footprint in both passenger and logistics applications. The case delves into UiSee's pivotal role in advancing autonomous vehicle technologies, its strategic collaborations, and the broader implications for the automotive industry's future. It also discusses market forecasts, investment trends, and the developing regulatory framework driving the industry towards the widespread adoption of autonomous driving technologies.
Star Charge
Authors: He Jiantao
Published: September 2024

This case study examines Star Charge, a pivotal player in China's electric vehicle (EV) charging infrastructure market. Founded amid ambitious government initiatives to bolster EV adoption, Star Charge rapidly emerged under the visionary leadership of Danwei Shao. The case explores how Star Charge has developed strategically, from its unique crowdfunding approach to its current success, overcoming challenges and taking advantage of opportunities in a competitive industry where State Grid and Special Call are the dominant players. It explores Star Charge's business model, technological advancements in charging stations, and the pivotal role in supporting China's dual carbon goals. The study analyzes future projections, including international expansion strategies and technological innovations such as vehicle-to-grid (V2G) technology. Through this comprehensive analysis, the case illustrates how Star Charge continues to shape the future of sustainable mobility in China and beyond.
Yuanqi Forest
Authors: Zhang Enyi
Published: September 2024

This case study examines how Genki Forest has grown and changed its strategy in the competitive health drinks market in China. Founded with a vision to offer healthier beverage alternatives, Genki Forest capitalized on rising consumer demand for natural, low-sugar beverages by innovating with unique flavors and leveraging digital marketing channels. The case delves into Genki Forest's early challenges in product sourcing and its subsequent growth through effective branding, product diversification, and e-commerce expansion. Analyzing competitive pressures from established players and emerging brands, the study examines Genki Forest's strategies to maintain market leadership, including sustainability initiatives and international expansion ambitions. Through a comprehensive exploration of its development phases, market positioning, and outlook, this case provides insights into navigating the complexities of consumer-driven markets and achieving sustained growth in the beverage industry.
Kuaikan Manhua
Authors: Wang Hailin
Published: September 2024

This case study examines Kuaikan Manhua, a prominent player in China's digital comics industry, focusing on its strategic evolution and entrepreneurial journey under the leadership of founder Annie Chen. Beginning with a mission to foster a vibrant Gen Z content community, Kuaikan Manhua employed an “intellectual property plus community” strategy, leveraging AI and big data to enhance content creation and user engagement. The study highlights key initiatives, such as IP development, community integration through the Community World platform, and international expansion efforts, like the Columbus Plan. It also explores challenges, including regulatory constraints and shifting market dynamics, offering insights into Kuaikan Manhua's resilience and innovation in navigating these obstacles. Through this analysis, the case underscores Kuaikan Manhua's pivotal role in shaping China's digital comics landscape and provides strategic lessons for businesses operating in dynamic and competitive digital content markets.
Yuanfudao
Authors: Yang Jiarui
Published: September 2024

This case study explores the transformative journey of Yuanfudao within China's dynamic K12 online education sector. Founded by Li Yong in 2012, it initially struggled with its business model centred around their question bank. Overcoming early challenges, they pivoted to capitalize on the burgeoning demand for online live courses, launching Fenbigongkao and subsequently integrating AI-driven solutions like Ape Search and Zebra AI. As the market evolved, they navigated regulatory changes and competitive pressures, adapting strategies to align with national educational policies and shifting consumer preference. The case examines key milestones such as strategic partnerships with Xinhua Publishing House and the launch of the Ape Learning Machine, highlighting their innovative approach to enhancing learning outcomes through technology. Analysing the growth trajectory, technological advancements, and strategic initiatives, the case offers insights into the broader implications of digital transformation in education and their role in shaping the future of K12 online learning in China.
Green HRM Awareness and Training in Higher Education Institutions
Authors: Bhardwaj Anuskha , Kar Ayushi , Bohidar Samriddhi , Ramkumar Gowtham
Published: September 2024

This review examines green Human Resource (HR) practices in Higher Education Institutions (HEIs), focusing on awareness and training initiatives. Synthesizing 28 articles from 2014 to 2024, it highlights leadership's role, employee engagement, and training effectiveness. Challenges in implementation and the necessity for comprehensive sustainability integration are discussed. The review underscores the importance of aligning organizational values, fostering a culture of environmental responsibility, and leveraging technology for measurement. It advocates for investing in sustainable HR to cultivate an environmentally conscious workforce and advance sustainability objectives within HEI.
From Vision to Action
Authors: Joy Sebin , Simran  , Kumar Arti Arun
Published: September 2024

Leadership in fostering green and inclusive practices has gained significant attention in organizations globally. Green Inclusive Leadership has emerged as a critical factor in achieving sustainable performance in higher education institutions, emphasizing collaboration, inclusivity, and a commitment to environmental sustainability. A research study conducted with 248 responses analyzed the influence of Green Inclusive Leadership on sustainable performance, providing valuable insights into the relationship between these two factors and offering evidence-based insights on implementing and optimizing green, inclusive leadership practices. By understanding the impact of Green Inclusive Leadership on sustainable performance, organizations can adopt effective strategies to contribute positively to society and the environment.
Towards a Sustainable Future
Authors: Doshi Sejal , Joy Sebin , Kumar Arti Arun
Published: September 2024

As the world becomes more concerned about environmental sustainability, organisations are realizing the importance of adopting sustainable practices that go beyond regulatory compliance. The research aims to bridge the gap in understanding the precise ways in which leadership affects employee perceptions, knowledge, and contributions to environmental management. The study collected 273 responses through online questionnaires from employees across different industries, including educational institutions. The study suggests a strong link between green transformational leadership and employees' green behavior. Specifically, green organizational identity, as a mediating factor, can enhance green innovative behaviors. The study highlights the importance of fostering green transformational leadership and the significance of environmental goals, employee conduct, and identification in promoting environmentally sustainable practices within organisations.
The Application of AI to the Adoption of Green HRM Practices
Authors: Sanwal Tanushree , Rajput Janvi , Tyagi Meenakshi , Yadav Sapna , Avasthi Sandhya , Sareen Puja
Published: September 2024

Companies today appreciate the need for green operations. Organizations struggle to implement and maintain Green HRM, according to this study. AI is transforming HRM and positioning HR for environmental responsibility. A quantitative study of AI-powered Green HRM solutions included qualitative case studies and HR expert interviews. This study analyzes how AI affects green HRM practices like recruitment, training, employee involvement, and task monitoring. Key findings show AI enhances recruiting for environmentally conscious applicants. Research suggests that AI-driven data analytics and automation can tailor training programs to staff needs, creating a culture of continuous learning and environmental stewardship. The research shows that AI can streamline real-time sustainable development indicator monitoring and assessment. Organizations may better align HR with environmental goals. The study advances AI and Green HRM research and advises eco-friendly organizations. This essay promotes sustainable and socially responsible HRM, given the effect of AI.
Mental Wellness and Technology
Authors: Singha Ranjit , Singha Surjit
Published: September 2024

This chapter explores the balance between technology use and mental wellness, highlighting its benefits and challenges. It examines how mental health apps can support well-being while addressing issues like digital addiction and information overload. Utilizing psychological frameworks such as self-determination theory, cognitive-behavioral approaches, and mindfulness strategies, the chapter provides practical solutions for maintaining mental peace. It underscores the need for digital literacy and responsible tech use, advocating for collaboration among tech companies, mental health professionals, and policymakers. The multidimensional addiction behaviour scale (MABS) is introduced as a comprehensive tool that assesses psychological factors, biological factors, social and environmental factors, cognitive and behavioral patterns, and motivation and readiness for change to provide a nuanced view of digital addiction.
WellBeing360
Authors: Rohith S. , Kavitha D.
Published: September 2024

In response to the escalating mental health concerns among students, “WellBeing360” emerges as a pioneering web application tailored to prioritize mental health and wellness. This chapter delves into the conceptualization, implementation, and evaluative aspects of WellBeing360, with a distinct emphasis on providing vital information, expert guidance, and specialized support for students, especially those navigating the challenges of competitive exam preparation. The research endeavors to explore the impact of WellBeing360 on enhancing mental health awareness, fostering positive coping strategies, and creating a supportive virtual environment for students. By prioritizing the provision of relevant information, expert guidance, and specialized support, WellBeing360 represents an innovative solution poised to make a positive impact on the mental health landscape for competitive exam aspirants. The findings will inform future developments in technology-driven solutions to enhance the well-being of students navigating the demands of a student and aspirants life.
Medical Diagnosis From Health Records Using Natural Language Processing (NLP) With Integration of Explainable Artificial Intelligence (XAI)
Authors: Saluja Saneet , Rao Madhuri , Kumar Kulamala Vinod , Apune Sagar , Gutte Vitthal Sadashiv
Published: September 2024

Keywords: Named Entity Recognition, Part of Speech(PoS) tagging, Dependency Parsing, Sentiment Analysis, Explainable Artificial Intelligence(XAI)
Advocating Medical Tourism and Healthcare in Global Health Market Places
Authors: Singh Bhupinder , Kaunert Christian , Jermsittiparsert Kittisak
Published: September 2024

Medical tourism has the potential to revolutionize healthcare by providing patients with access to high-quality, affordable treatments while boosting local economies. However, to ensure its long-term viability, it is essential to promote sustainability and harness technological advancements. The achieving of sustainability in medical tourism entails striking a balance between providing for the medical requirements of patients from across the world and maintaining the integrity of regional healthcare systems. This phenomenon, which involves traveling across international borders to receive medical care, is driven by factors such as cost savings, access to advanced medical technologies, and shorter waiting times. However, as medical tourism continues to grow, there is a pressing need to ensure its sustainability and leverage technological advancements to enhance patient care and outcomes. This chapter comprehensively explore the diverse aspects of Advocating Medical Tourism and Healthcare in Global Health Market Places: Promoting Sustainability and Technological Advancements.
Generative Insights Unveiling AI's Evolution and Algorithms
Authors: Elavarasi D. , Ramadevi M. S. , Jayabarathan Jayson K. , Robinson S.
Published: September 2024

Artificial intelligence (AI) has the capability for machines to learn from experience, change their inputs and perform actions as if they were human. To begin with, AI researchers focused on primitive algorithms that have predefined rules. There are also a number of shortcomings when it comes to these algorithms like interpretability problems, inadequate data sources, computation resource, data description and quality, ethical consideration, overfitting and underfitting computational burden, data collection and bias, high probability of error, lack of enough trained instances no causality as well as reproducibility issues among others. This chapter will guide you through understanding of Generative AI by discussing fundamental algorithms and models used in powering this game-changing technology. In this, it investigates into the basics by using some generative algorithms like probability-based models, VAEs, GANs and autoregressive models.
The Evolution of Ethical Standards and Guidelines in AI
Authors: Nag Bodhibrata
Published: September 2024

AI ethics focuses on the systematic study of what is right and wrong, with the aim of providing principles to resolve ethical dilemmas. AI products, such as deepfakes, have raised concerns about their potential to disrupt traditional industries, devalue human work, and threaten intellectual property rights. AI ethics are intertwined with the need for an understanding of potential risks and benefits. We can categorize AI ethics into principles-based, processes-based, and ethical consciousness approaches. Key themes emerging from AI ethics include transparency, justice, fairness, non-maleficence, responsibility and accountability, privacy, beneficence, freedom and autonomy, trust in AI, dignity, sustainability, and solidarity. The development of AI ethics requires defining universally applicable guidelines and promoting global collaboration. Collaboration between industry, academia, and the public is critical for detecting and evaluating AI-generated content, addressing the social and economic impacts of AI displacements, and building public trust in AI technologies.
The Pillars of AI Ethics
Authors: Ramya R. , Priya S. , Thamizhikkavi P. , Anand M.
Published: September 2024

Artificial intelligence (AI) technologies are advancing at a rapid pace, which has created many potential and benefits for a variety of industries. But there are also moral questions about the creation and application of AI systems due to their growing autonomy and complexity. This study examines the fundamentals of AI ethics with an emphasis on privacy, responsibility, and openness as the cornerstones that uphold moral AI practices in order to allay these worries. Making AI systems comprehensible and explicable to users and stakeholders is emphasised by transparency. It entails giving concise descriptions of the decision-making procedures, data sources, and potential biases of AI systems. Contrarily, accountability describes the obligations of people and institutions engaged in the creation and application of AI systems. It entails making certain that AI systems are applied in a just, fair, and responsible way and that individuals in charge of their creation and application be held accountable for any unfavourable effects.
Navigating Ethical Dilemmas in Generative AI
Authors: Nag Bodhibrata
Published: September 2024

Generative AI, based on neural networks, is transforming the creation of content like text, images, music, and interactive digital experiences. However, it raises ethical and practical questions about the authenticity of AI-generated works, intellectual property rights, and the role of creators. AI is also transforming journalism by integrating algorithms and automation, but raises ethical concerns about potential biases and transparency. To address these issues, the sector should set clear standards, promote diversity, and encourage cooperation among technologists, artists, ethicists, and policymakers.
Transformative Potential and Ethical Challenges of Generative AI in E-Commerce
Authors: Narula Shilpa , Afaq Anam , Nagar Shikha , Chaudhary Meenu
Published: September 2024

This chapter depicts how generative AI can redefine the e-commerce industry through enhanced personalised experience, dynamic pricing, and operational efficiency. However, the chapter also illustrates how generative AI can be accompanied by problems in terms of biases and ethical challenges. This chapter discusses ways to uncover, tackle, and prevent bias in AI systems to ensure that no customers are discriminated against. The chapter highlights the necessity of accountability, transparency, and robust privacy standards in AI decision-making to win over users and uphold ethical standards. Generative AI development is expected to become increasingly important when used with decision-making accountability. In this way, Generative AI can promote justice, uphold trust, and achieve sustainable digital economy growth as e-commerce develops. As the e-commerce industry grows, generative AIs can ensure fairness, restore confidence, and drive sustainable development.
Theory - Practice integration for Chinese Postgraduates in Pathophysiology: Innovative Teaching Strategies
Authors: Li J. , Wang J. , Liang L. L. , Li Y. X. , Feng X. P. , Luo Y. , Jiang L. H. , Zhong B. , Li Y. L. , Zhao S.
Published: September 2024

Background: Pathophysiology plays a pivotal role in medical education by bridging basic sciences and clinical medicine. However, traditional teaching approaches in China often lack integration between theory and clinical practice, hampering postgraduates' understanding of disease mechanisms and diagnostic abilities. This study explores innovative strategies to effectively integrate theory and practice, enhancing Chinese medical postgraduates' learning.Methodology: A comprehensive literature review analyzed the current educational landscape and identified innovative teaching strategies aligning theoretical concepts with clinical applications. The implementation methods and potential to foster autonomous and innovative learning were examined.Results: Several student-centred strategies were identified, including problem-based learning (PBL), case-based learning (CBL), flipped classrooms, and integrated teaching models. These approaches emphasize active learning, critical thinking, and applying theoretical knowledge to clinical scenarios. Adopting these strategies can improve postgraduates' learning efficiency, problem-solving abilities, and clinical reasoning skills while promoting self-directed learning and innovative thinking.Conclusion: Integrating theory and practice through innovative teaching strategies is crucial to enhance the quality of pathophysiology postgraduate education in China. Educators should implement student-centred approaches like PBL, CBL, flipped classrooms, and integrated models to stimulate autonomous learning and cultivate innovation. Providing opportunities for active learning and clinical application can significantly improve postgraduates' learning outcomes and preparedness for future practice. Further research evaluating the long-term impact on postgraduate performance and patient care is warranted.