bluuebunny/crossref_metadata_2025 huggingface dataset:
Resistance To Thyroid Hormone Receptor Alpha Due to Heterozygous Pathogenic Variant in THRA Gene: A Case Report from India
Authors:   Senior Consultant, Department Coordinator & Postdoctoral Fellowship Program Director, Department of Pediatric & Adolescent Endocrinology, SRCC Children’s Hospital, India, Kulkarni Abhishek , Desai Devika ,   Clinical Associate, Department of Pediatric & Adolescent Endocrinology, SRCC Children’s Hospital, India, Monteiro Joewin ,   Clinical & Research Fellow, Department of Pediatric & Adolescent Endocrinology, SRCC Children’s Hospital, India, Agrawal Poorvi ,   Assistant Professor, Department of Pediatrics, Topiwala National Medical College & B.Y.L Nair Charitable Hospital, India
Published: October 2024

Background: Thyroid Hormone Receptor Alpha (THRA) gene mutation is a thyroid hormone resistance syndrome characterized by non-responsiveness of target tissues to the active form of TH (T3). Clinical Description: We describe a heterozygous missense variant in exon 8 of THRA gene detected in a 2-month-old female with clinical phenotype of hypothyroidism, low free thyroxine, elevated free triiodothyronine & normal levels of thyroid stimulating hormone. Management & Outcome: Clinical improvement in linear growth, motor development domain, hypotonia & constipation were noted with levothyroxine therapy but insufficiencies in cognitive and fine motor skills may remain. Conclusion: THRA gene mutation should be considered in patients with features of clinical hypothyroidism and elevated free T3, decreased/ normal free thyroxine & normal thyroid-stimulating hormone levels.
An Umpolung Mechanism for Oxidative Addition
Authors: Rao Nisha , Kuo Jonathan
Published: October 2024

In the presence of an appropriate base, electrophilic transition metal complexes can heterolytically activate nonpolar bonds H–H/H–X/X–X (X = SiR3, or CR3 as examples). In MeCN, the extreme electrophile {PtII(EtXantphos)2}2+ ({PtII}2+) appears to spontaneously heterolyze H2, yielding {H–PtII(EtXantphos)2}+ ({H–PtII}+) and a solvated proton. As the solution acidifies, a solvated proton can return to the hydride associated {H–PtII}+ to generate the oxidative addition product {(H)2PtIV(EtXantphos)2}2+ ({H–PtIV–H}2+). The net reaction – a heterolytic rebound – corresponds to an umpolung mecha-nism for oxidative addition, with the substrate acting as nucleophile. The rate constants for association of H2 and D2 to {PtII}2+ were measured as 8.4 and 8.5 ( 10-3 psi-1 hr-1), respectively. This minimal kinetic isotope effect (kH/kD = 0.99) is consistent with an intermediate σ-complex featuring negligible backbonding. Our observations comprise a framework for under-standing small molecule activation at the electrophilic extreme.
EnDiTrap: Pull-down-based pipeline for detection of endocrine-disrupting chemicals
Authors: Sehnal Ludek , Codling Garry , Smutná Marie , Grabic Roman , Hilscherová Klára
Published: October 2024

Most environmental matrices contain a diverse range of synthetic and natural compounds, some of which exhibit toxic effects. Nevertheless, current methods often do not provide sufficient resolution and power to specifically identify compounds responsible for the biological effects of the complex environmental mixtures. Here, we present the development of the EnDiTrap pipeline that facilitates the identification of compounds that specifically interact with targets involved in the regulation of the endocrine system. We used heterologously expressed ligand binding domain (LBD) of retinoic acid receptor alpha (RARα) as a model system for pull-down-based pipeline development, consequent optimization, and standardization. The applicability of the EnDiTrap pipeline was validated using standard ligand and tested through a case study with environmental samples of freshwater blooms. Results showed that the EnDiTrap pipeline significantly helps to reduce the number of putative features and facilitates the identification of suspect compounds responsible for observed biological effects. We also compared the performance of the software tools Compound Discoverer and MSDial commonly used for processing and analysis of mass spectrometry data. This comparison provided insight into the impact of different software processing on the outcome that brought interestingly contrasting results. This study enhances our ability to specifically identify effect drivers in environmental mixtures of chemicals. Moreover, the developed EnDiTrap pipeline can be applied to various protein targets thus presenting broad applicability.
Metal-free electrochemical hydrogenation of activated alkenes by N-doped carbons
Authors: Grammenos Anastasios Orestis , André Rémi F. , Kamra Mahima , Antonietti Markus , Odziomek Mateusz
Published: October 2024

Electrochemically-driven organic reactions offer a greener alternative to traditional catalytic methods, which often require harsh conditions. A good example is electrochemical hydrogenation that can be performed under ambient conditions using water as a proton source. To date, commercial (noble) metal electrodes have been used, with less attention given to the development of effective and sustainable electrode materials for these applications. Nitrogendoped carbons (NDCs) have been extensively used in electrocatalysis and energy storage; however, their potential in organic electrosynthesis remains unexplored. In this study, we synthesized a nanoporous NDC derived from 7,7,8,8-tetracyanoquinodimethane via the saltmelt method and applied it to the electrochemical hydrogenation of maleic acid to succinic acid. The NDC exhibited exceptional electrochemical performance, showing an onset potential 0.2 V lower than that of previously reported metal electrodes, along with nearly 100% faradaic efficiency. The SA yield rates were comparable or superior to those achieved by other catalytic methods, while operating under milder conditions and without the use of noble metal catalyst. Moreover, by tuning the potential and electrolyte acidity, the reaction could be driven toward electron-less isomerization to fumaric acid, induced by electrochemical potential.
Photoisomerization Dynamics of Azo-Escitalopram Using Surface Hopping and a Semiempirical Method
Authors: Gallmetzer Hans Georg , Sangiogo Gil Eduarda , González Leticia
Published: October 2024

The photoisomerization dynamics of azoescitalopram, a synthetic photoswitchable inhibitor of the human serotonin transporter, is investigated in both gas-phase and water. We use the trajectory surface hopping method, as implemented in SHARC, interfaced with the semiempirical Floating Occupation Molecular Orbitals-Configuration Interaction (FOMO-CI) electronic structure method to calculate on-the fly energies, forces and couplings. The inclusion of explicit water molecules is enabled using a quantum mechanics/molecular mechanics (QM/MM) framework. We find that the photoisomerization quantum yield of trans-azoescitalopram is wavelength and environment dependent, with n→π* excitation yielding higher quantum yields than π→π* excitation. Additionally, we observe the formation of two distinct cis-isomers during photoisomerization from the most thermodynamically stable trans-isomer, with formation rates influenced by both the excitation window and surrounding environment. Longer excited-state lifetimes are found than those reported for azobenzene, suggesting that the escitalopram moiety contributes to these extended lifetimes and slower torsional motions.
Molecular Quantum Chemical Data Sets and Databases for Machine Learning Potentials
Authors: Ullah Arif , Chen Yuxinxin , O. Dral Pavlo
Published: October 2024

The field of computational chemistry is increasingly leveraging machine learning (ML) potentials to predict molecular properties with high accuracy and efficiency, providing a viable alternative to traditional quantum mechanical (QM) methods, which are often computationally intensive. Central to the success of ML models is the quality and comprehensiveness of the data sets on which they are trained. Quantum chemistry data sets and databases, comprising extensive information on molecular structures, energies, forces, and other properties derived from QM calculations, are crucial for developing robust and generalizable ML potentials. In this review, we provide an overview of the current landscape of quantum chemical data sets and databases. We examine key characteristics and functionalities of prominent resources, including the types of information they store, the level of electronic structure theory employed, the diversity of chemical space covered, and the methodologies used for data creation. Additionally, an updatable resource is provided to track new data sets and databases at https://github.com/Arif-PhyChem/datasets_and_databases_4_MLPs. Looking forward, we discuss the challenges associated with the rapid growth of quantum chemical data sets and databases, emphasizing the need for updatable and accessible resources to ensure the long-term utility of them. We also address the importance of data format standardization and the ongoing efforts to align with the FAIR principles to enhance data interoperability and reusability. Drawing inspiration from established materials databases, we advocate for the development of user-friendly and sustainable platforms for these data sets and databases.
Performance Evaluation of Maintenance Management Strategy Using Malcolm Baldrige Criteria
Authors: Jabani Muzayyanah , Pakata Ahmad Syawal Senong , Erwin Erwin
Published: October 2024

This study aims to analyze the Maintenance Management strategy at PT Sumber Graha Sejahtera Luwu Branch by measuring Malcom Baldrige. Data collection techniques were carried out using questionnaires, interviews with the Maintenance Initiative Management Team, and data collection in the form of various internal company information used in the implementation of Maintenance Management initiatives. Data analysis using descriptive analysis and percentage analysis. The company's total score is based on the MBCfPE 2012 world class performance framework. The results show that the total score is obtained PT. Sumber Graha Sejahtera Luwu Branch for all MBNQA categories based on the results of the questionnaire is 724 or 72% of the maximum score of 1000. This means that for the performance assessment of PT. Sumber Graha Sejahtera Luwu Branch based on MBNQA, PT. Sumber Graha Sejahtera Luwu Branch won the title of Exellent and is included in the category Industry Leaders (point scale 676–775). Industry Leaders PT. Sumber Graha Sejahtera Luwu Branch is in a very good position.
Improvement Operational Business Process in Logistic Companies Using Model-Based and Integrated Process Improvement
Authors: Aritonang Adhe Martha Veronika , Ciptomulyono Udisubakti
Published: October 2024

The logistics business sector is experiencing increasingly competitive and complex developments, requiring enhancements to remain competitive. The method used in this research is the Model-Based and Integrated Process Improvement (MIPI) method, and business process mapping using Business Process Model and Notation. The MIPI method consists of four stages: Understand Business Needs, Understand the Process, Model and Analyze Process, by conducting activity analysis using Value-Added Analysis and Cause and Effect Analysis to identify problem causes, and the final stage is Redesign Process. Value-Added Analysis indicates that in the outbound process, there are 21 activities, comprising 4 Real Value Added, 15 Business Value Added, and 2 Non-Value Added. In the inbound process, there are 21 activities with a composition of 2 Real Value Added, 16 Business Value Added, and 3 Non-Value Added. Based on Cause and Effect Analysis, customer complaints were found to be related to delayed delivery of goods, with root causes identified in planning, methods, equipment, and human factors. Based on these findings, a proposal for a new business process design is made, including the elimination of Non-Value Added activities and parallelism in some activities to simplify Business Value Added activities. Recommendations for these issues include expanding partnerships and collaboration with vendors, increasing fleet size, and providing employee development training.
Conscientiousness on Affective Commitment to Change: The Mediating Role of Psychological Ownership
Authors: Halim M , Umaroh Rodhiah , Siahaan Nur Halimah , Martini Aldini Nofta , Nisa Risya Khaerun
Published: October 2024

Based on self-determination theory, this study identified the effect of conscientiousness on the affective commitment to change of lecturers in Indonesian universities. This study empirically examined the uniqueness of conscientiousness which is strongest and most consistently associated with various outcomes. The mediation effect of psychological ownership of lecturers was also examined. A total of 321 responses were analyzed using a two-stage structural equation modeling (SEM) approach to confirm factors and test the study hypotheses. The results showed that the level of conscientiousness had a significant effect on psychological ownership. Conscientiousness had a significant indirect effect on affective commitment to change only through the psychological ownership of the lecturers. These results support the mediating role of lecturers' psychological ownership level in explaining the influence between conscientiousness and the level of affective commitment to change for lecturers.
Desafíos técnicos y regulatorios en la implementación de respuesta de la demanda en Colombia
Authors: Sandoval Martínez Gloria Esmeralda , Muñoz Maldonado Yecid Alfonso
Published: October 2024

La creciente participación de agentes autogeneradores a pequeña escala (AGPE), en las redes eléctricas de distribución, evidencian retos en cuanto la operación y gestión del sistema, lo que requiere implementar estrategias para promover la flexibilidad de la demanda y garantizar la estabilidad. En este contexto, los programas de respuesta del lado de la demanda están diseñados para involucrar a los usuarios finales en acciones específicas que modifiquen su patrón de consumo de energía, adaptándose a sus actividades individuales. Estas tendencias se enmarcan en la sostenibilidad y confiabilidad del sistema eléctrico, lo que implica el desarrollo de estrategias que conviertan al usuario final en un actor activo del mismo. Este trabajo está enmarcado en el estudio de programas de gestión y respuesta de la demanda de energía y su implementación en Colombia, Se propone una metodología para seleccionar el mecanismo de gestión de la demanda a través de la valorización de preferencias de usuario, considerando el estado actual del sistema eléctrico colombiano. Además, se proporciona una visión sobre el desarrollo de mercados secundarios de servicios complementarios, donde el usuario final tenga una participación activa y la demanda sea el eje central. En conclusión, este estudio muestra a los programas de gestión y respuesta de la demanda como una estrategia que garantiza la sostenibilidad y suficiencia de los sistemas eléctricos, permitiendo una mayor participación de fuentes renovables no convencionales de energía, teniendo en cuenta los aspectos regulatorios vigentes en el país.
Humanización y diseño de interfaz de un banco portátil remoto para una plataforma IIoT de formación para ingenieros
Authors: Gómez Casadiego Mariana , Martínez Gómez Javier Mauricio , Duarte Muñoz Natalia Milena
Published: October 2024

Dado que en la actualidad la tecnología avanza a un ritmo mayor que la capacidad de las universidades de adaptar su infraestructura, la búsqueda de profesionales que posean las competencias requeridas para la industria 4.0 es todo un reto. En este contexto, la UIS y la empresa DAUTOM S.A.S. se encuentran diseñando una plataforma IIoT (Industrial Internet of Things, Internet Industrial de las cosas) que permitirá la formación de profesionales en las competencias tecnológicas requeridas por la industria. Para el uso de esta plataforma se requiere de unidades que permitan la interacción de los estudiantes con bancos de procesos IIoT, por lo que se ha identificado la necesidad de diseñar una herramienta portable y de conexión remota que se destaque por tener una interfaz que fortalezca los procesos de aprendizaje y cuya experiencia de uso refuerce las operaciones cognitivas de los estudiantes. En este trabajo se presentará el diseño y la humanización de la interfaz física del banco portátil, cuyo objetivo es fortalecer el proceso de aprendizaje de los estudiantes mediante diversos atributos y requerimientos, aplicando estrategias de diseño centrado en las personas. El trabajo dará respuesta a la pregunta ¿Cómo el diseño de la interfaz física logrará una mejor experiencia de usuario en términos de aprendizaje y facilidad de uso? Este trabajo hace parte de la primera etapa de diseño de un proyecto de grado de pregrado en modalidad de práctica empresarial, dentro del marco del proyecto titulado “Diseño, desarrollo e implementación de una plataforma IIoT para formación de profesionales en tecnologías de la cuarta revolución industrial” código 82273, contrato 719-2022, financiado por MinCiencias (convocatoria 890-2020).
Desarrollo de un sistema de riego automático a partir de aguas lluvias, para ser implementado en unidades residenciales en Cali
Authors: Colorado Angulo Juan Sebastián , Cruz Ardila Juan Carlos
Published: October 2024

En las unidades residenciales se llevan a cabo actividades de limpieza y aseo que implican un considerable consumo de agua potable: la limpieza a los senderos de las unidades con hidro lavadoras, riego de las zonas verdes y uso de válvulas de agua para uso común en actividades de aseo, teniendo poca eficiencia en la utilización del agua potable. Estas activades conllevan un alto consumo del recurso, usando más de 200 m3 de agua potable de acuerdo con cifras de recibos de servicios públicos de la unidad residencial objeto de estudio, generando altos costos para las administraciones de las unidades residenciales y un mal uso del recurso hídrico. Atendiendo el ODS 6 “garantizando la disponibilidad de agua y su gestión sostenible”, se propone una manera de recolección de aguas lluvias para su posterior uso. Esto está orientado a la disminución, tanto en el impacto al medio ambiente, como el consumo del recurso hídrico y por ende un menor costo en los servicios públicos. De acuerdo con las necesidades documentadas se planteó un objetivo general: Desarrollar un sistema automatizado para el aprovechamiento de aguas lluvias en unidades residenciales de la ciudad de Cali, que tengan necesidades de riego de zonas verdes y limpieza de zonas comunes. Se ha avanzado metodológicamente según cada objetivo específico consolidando los siguientes: Un documento que da cuenta de una vigilancia tecnológica relacionada con el uso de aguas lluvias y su recolección para posteriormente ser usada en un sistema de riego automatizado; la selección adecuada de los dispositivos requeridos para la implementación y construcción del sistema automatizado y; el diseño de un sistema automatizado de almacenamiento y riego que usa las aguas lluvias recolectadas, para ser utilizadas en zonas comunes de una unidad residencial. Adicionalmente, se describe el proceso de automatización de un sistema que recolecta, almacena aguas lluvias en un tanque y luego la distribuye a las diferentes zonas verdes en el perímetro de la unidad residencial de acuerdo con los valores físicos de humedad tomado por un sensor. Se ha conseguido un riego adecuado para las plantas ornamentales en el perímetro de una unidad residencial donde se implementó el prototipo. Esta aplicación ha generado también, una disminución del consumo de agua potable dedicado a actividades de limpieza porque se usa el agua lluvia recolectada, mediante la utilización de una válvula manual de respaldo que tiene el tanque de almacenamiento.
Análisis de la percepción de estudiantes de ingeniería sobre la pertinencia de la vinculación a la Asociación Nacional de Estudiantes de Ingenierías Industrial, Administrativa y de Producción ANEIAP, en su proceso de formación integral
Authors: Mina Muñoz María Lizeth , Villegas Ramos Johan
Published: October 2024

Teniendo en cuenta que, el Sistema Nacional de Información de Educación Superior - SNIES reporta a la fecha 156 programas de Ingeniería Industrial activos, 7 programas de ingeniería administrativa y 7 programas de ingeniería de producción, se tiene un total aproximado de 164 programas académicos que pueden vincularse a la red académica, sin embargo, actualmente hay 19 Instituciones de Educación Superior vinculadas en la asociación, ubicadas en 11 ciudades a nivel nacional. El presente escrito tiene como objeto dar a conocer los aportes que la Asociación Nacional de Estudiantes de Ingenierías Industrial, Administrativa y de Producción (ANEIAP), está otorgando en su formación profesional a quienes pertenecen hacen parte de ella, como lo son roles de liderazgo, mayor sentido investigativo, el acercamiento a los entornos empresariales, roles profesionales y el impacto que tiene al interior de los programas académicos, como la motivación de los estudiantes a seguir siendo parte activa de espacios de formación extracurricular, la reducción en índices de deserción académica. Es por ello primordial realizar el análisis de la percepción de miembros vinculados a la Asociación Nacional de Estudiantes de Ingenierías Industrial, Administrativa y de Producción y externos, donde se determine cómo ha aportado la red al desarrollo personal y profesional, a la luz de la misión de la ANEIAP “Es complementar el desarrollo de futuros profesionales de las ingenierías industrial, administrativa y de producción, por medio de experiencias de formación integral generando gestores de cambio en la sociedad colombiana”. Se espera que los resultados generen impacto un impacto positivo en las diferentes unidades académicas y sigan siendo partícipes del fortalecimiento de redes estudiantiles, como estrategia de consolidación en formación integral de los futuros profesionales.
Desarrollo de un modelo de dinámica de sistemas para brindar información a la comunidad académica del impacto de su comportamiento sobre la PTAR y el ecosistema, en la Universidad Antonio José Camacho (UNIAJC) sede sur en Cali
Authors: Mosquera Zapata Leidy Lorena , Lozano Beltrán Santiago , Marín Ospina Beatriz Eugenia
Published: October 2024

El manejo eficiente del agua incluye garantizar el tratamiento adecuado de las aguas residuales antes de devolverlas a los cuerpos de agua naturales. En zonas urbanas, las aguas residuales suelen ser tratadas en plantas de tratamiento (PTAR), mientras que en zonas rurales a menudo se vierten sin tratamiento, afectando negativamente el medio ambiente y la calidad del agua. Este proyecto utiliza dinámica de sistemas para modelar y simular el tratamiento de aguas residuales en la sede sur de la Institución Universitaria Antonio José Camacho de Cali. El objetivo es que la comunidad académica comprenda el impacto de su comportamiento en el sistema de aguas residuales y su efecto en el ecosistema del río Pance, generando conciencia y promoviendo un mejor uso del agua. La metodología del proyecto incluye: 1) Fase de exploración, con entrevistas y revisión de documentos técnicos. 2) Fase de planificación y análisis, con desarrollo de diagramas causales. 3) Fase de implementación, con la elaboración del diagrama de flujos y niveles. 4) Fase de validación, con actores del sistema y datos históricos. 5) Fase de refinamiento, incorporando observaciones de los usuarios del sistema.
Apropiación del conocimiento de diseño de máquinas mediante integración transversal de asignaturas por proyectos
Authors: Rincón Pardo Juan Edilberto , Narváez Tovar Carlos Alberto
Published: October 2024

En el departamento de ingeniería mecánica y mecatrónica de la Universidad Nacional de Colombia Sede Bogotá, la apropiación del conocimiento y capacidades sobre el diseño de máquinas se realiza a través de un proyecto (por equipo) que se desarrolla en el transcurso de varios semestres y asignaturas, integrando estudiantes de diferentes asignaturas y estableciendo diferentes roles de equipo a lo largo de su ejecución. Después de haber apropiado los conocimientos sobre estática, dinámica, mecanismos, materiales, resistencia de materiales y elementos finitos, se inicia el proceso de diseño con un seminario sobre metodología del diseño; posteriormente en Diseño de Elementos de Máquinas I, y paralelo a los temas correspondientes, se plantea un problema de diseño real conceptualizando su solución hasta obtener bocetos definitivos; para definir algunos de los parámetros de diseño del producto a obtener se realiza un trabajo de investigación corto en el cual se diseñan pruebas no estandarizadas que conduzcan a lograr lo requerido. En Diseño de Elementos de Máquinas II se trabaja en conjunto con los estudiantes de Dibujo de Máquinas, estableciendo roles de diseñadores y dibujantes de manera que los diseñadores realizan el diseño detallado de la máquina mientras que los dibujantes son los responsables de modelar las piezas y partes, obtener los planos de manufactura de los componentes diseñados a partir de los bocetos suministrados por los diseñadores. Los diseñadores, encabezados por un gerente, revisan y aprueban la totalidad de los planos y se entrega un diseño completo construible junto con sus memorias de cálculo. Finalmente, en la asignatura Proyecto Aplicado de Ingeniería donde se integran estudiantes de ingeniería mecatrónica, se revisa el diseño detallado, se optimiza implementando automatización (en lo posible) y se construye un prototipo de alta fidelidad empleando los planos de manufactura y ensamble, con el cual se llevan a cabo pruebas de verificación y validación del desempeño del producto. Esta metodología integradora ha funcionado desde el año 2009, consolidándose en un espacio académico del plan de estudios de ingeniería mecánica, reconocido en los procesos de acreditación nacional e internacional por desarrollar tanto competencias y capacidades disciplinares como habilidades blandas, generando posibilidades de trabajo inter y transdiciplinario en los estudiantes, pues frecuentemente se abordan temáticas de maquinaria agroindustrial, agroalimentaria, geotecnia y suelos, biomecánica, robótica y automatización, entre otras; adicionalmente, en la mayoría de los proyectos se trabaja con otras disciplinas con las cuales la ingeniería mecánica puede integrarse para buscar soluciones a problemas técnicas y/o sociales.
New-Tenant Rent Passthrough and the Future of Rent Inflation
Authors: Loewenstein Lara P. , Meyer Jason R. , Verbrugge Randal J.
Published: October 2024

New-tenant rent inflation rose sharply during the COVID-19 pandemic, subsequently falling. Concomitantly, consumer price index (CPI) tenant rent, which measures rent increases for both new and continuing renters, rose more gradually and, after falling somewhat, has remained elevated. To illustrate why CPI rent inflation has remained elevated, we combine a measure of new-tenant rents and annual renter mobility rates to create a simulated CPI tenant rent inflation measure. We use this simulation to define a "rent gap" that represents the difference between actual CPI tenant rent inflation and rent inflation we would observe if every tenant experienced new-tenant rent inflation. This gap has declined since hitting its peak at the end of 2022 but remains high, implying that existing rents for continuing renters may still be notably below new-tenant rent levels and that rent inflation may remain elevated. However, the future path remains uncertain because it depends on future mobility rates, future passthrough rates, and future new-tenant rent inflation.
MACHINE LEARNING ALGORITHMS FOR PREDICTIVE ANALYTICS: A REVIEW AND EVALUATION
Authors: Alladi Deekshith Alladi Deekshith
Published: October 2024

Predictive analytics has emerged as a powerful tool for businesses and organizations to forecast future trends, customer behaviors, and operational outcomes based on historical data. Machine learning (ML) algorithms form the backbone of predictive analytics by offering automated, data-driven methods that can uncover patterns and make accurate predictions. This paper provides a comprehensive review and evaluation of various machine learning algorithms commonly used for predictive analytics, including both traditional and contemporary techniques. The review explores supervised, unsupervised, and semi-supervised algorithms such as decision trees, random forests, support vector machines (SVMs), k-nearest neighbors (KNN), logistic regression, and neural networks, along with advanced deep learning methods like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Each algorithm is examined in terms of its theoretical foundation, computational complexity, strengths, and limitations, as well as its applicability to specific types of predictive tasks, including classification, regression, and time-series forecasting. Additionally, the evaluation focuses on key performance metrics—such as accuracy, precision, recall, and F1 score—that are used to assess the effectiveness of these algorithms. Special attention is given to issues of model interpretability, scalability, and the handling of large datasets, which are crucial in real-world applications. The paper also discusses the latest advancements in ensemble learning techniques, such as boosting, bagging, and stacking, which combine the predictions of multiple models to improve overall performance. The impact of hyperparameter tuning, cross-validation, and feature engineering on the predictive power of machine learning models is critically analyzed. By presenting a thorough comparison of various algorithms across different predictive analytics use cases, this review offers valuable insights into how organizations can select the most appropriate machine learning techniques for their specific needs. Future trends in predictive analytics, such as the integration of explainable AI (XAI) and the role of ethical considerations in algorithmic decision-making, are also discussed. This paper aims to serve as a guide for data scientists, researchers, and business leaders who seek to implement machine learning solutions for predictive analytics in a practical and efficient manner.
GENERATING FREE IMAGES WITH OPENAI'S GENERATIVE MODELS
Authors: Chaitanya Krishna Suryadevara Chaitanya Krishna Suryadevara
Published: October 2024

Artificial intelligence (AI) has the potential to revolutionize the way that marketers and others create visual content, by providing fast, easy, and cost-effective tools for generating realistic images. In this study, we evaluated the quality and realism of images generated using the OpenAI image generator, a free and easily accessible tool based on a GAN-based model trained on a large dataset of images and text descriptions. Our results showed that the image generator was able to produce a wide range of high-quality and realistic images, and was rated as highly realistic by participants in a user survey. The advantages of the OpenAI image generator include its ease of use and accessibility, as well as its ability to produce a wide range of images with minimal user input. However, there are also some limitations to the image generator, including the occasional display of unrealistic or exaggerated features, and a lack of subtle details in some images. In conclusion, the OpenAI image generator is a promising tool for creating visual content, and has the potential to revolutionize the way that marketers and others create and use images.
EXAMINING THE RELATIONSHIP BETWEEN TRADE OPENNESS AND ECONOMIC GROWTH IN ALGERIA USING SELF-REGRESSION OF DISTRIBUTED SLOWDOWN PERIODS (ARDL) DURING THE PERIOD 1980-2022
Authors: Adda Abed , Salima Belhaoues
Published: October 2024

Objective: This research paper aims to try to measure the impact of trade openness on economic growth in Algeria during the period 1980-2022, and in order to achieve the objectives of the study, the standard approach was used through the use of the autoregressive model for distributed slowdown periods (ARDL) As for the study data, it was obtained from the World Bank Group of Statistics 2024.
 
Theoretical Framework: The study relies on an attempt to familiarize himself with the various theoretical literature that analyzed the relationship between foreign trade liberalization and economic growth theoretically, in addition to trying to highlight previous applied studies that examined the relationship between these two variables, which we divided into studies that denied and studies that proved a relationship between economic growth and foreign trade liberalization.
 
Method: the research is devoted to studying the relationship between economic growth and trade openness in Algeria during the period 2000-2022 in order to assert the type of relationship between the two variables.
 
Result and discussion: The results of the study revealed a positive impact of trade openness on economic growth represented by GDP, in addition to the existence of a long-term equilibrium relationship between the variables of the study.
 
Research Implication: The study of the subject of trade openness as a mechanism to achieve economic growth aims to understand the mechanisms of economic growth associated with the liberalization of foreign trade, analyze the effects of openness on the volume of trade exchange, exports and imports, and identify the factors affecting the achievement of economic growth through trade liberalization. As for Algeria the liberalization of foreign trade can drive economic development, improve the livelihood of the population, raise levels of economic performance and improve the quality of domestic goods that are forced to compete with sophisticated foreign goods.
 
Originality/Value: This study analyzes the economic effects of foreign trade liberalization on economic growth in Algeria while trying to separate the results of previous studies applied to the Algerian economy on the nature of the actual relationship between these two variables.
Nazionalismo subliminala(k) eta testuliburuak: alfabetatze nazional paraleloak Euskal Autonomia Erkidegoan
Authors: Fernández-Iriondo Jon
Published: October 2024

Nazionalismo-ikerketen baitan kokatutako ikerketa honek euskal eta espainiar nortasunen erreprodukzio hutsal edo subliminala aztertzen du Lehen Hezkuntzako hirugarren zikloan, gaur egun Euskal Autonomia Erkidegoko ikastetxeek erabiltzen dituzten Gizarte Zientzietako testuliburuen analisiaren bidez. Besteak beste Michael Billig-en nazionalismo hutsalaren tesiaz baliaturik, eduki-analisi kuantitatiboa eta kualitatiboa uztartu dira hiru argitaletxetako testuliburuak konparatzeko. Aurkikuntzei dagokienez, testuliburuek islatzen dute EAEko hezkuntza-sistemako ikasleek alfabetatze nazional ezberdin eta paraleloak bizi dituztela: argitaletxe gehienek nazionalismo espainiarra banalizatzen dute; Ikaselkar argitaletxeak, berriz, modu nazionalistan —eta ez erregionalistan— erreproduzitzen du euskal nortasuna.
ALCESTE euskaraz: egokitzapena eta ebaluazioa
Authors: Abasolo Juan , Eguskiza Sanchez Naia
Published: October 2024

Artikulu honek ALCESTE metodoaren eta berori erabiltzeko egun baliatzen den Iramuteq softwarearen egokitzapena eta ebaluazioa aurkezten ditu euskarazko testuetarako. Testu-bolumen luzeen sailkapen automatizaturako metodologiak eremu semantikoak identifikatzeko baliabideak eskaintzen ditu. Artikulua lexikoaren egokitzapen-prozesuan eta barne- eta kanpo-ebaluazioetan oinarritzen da. Barne-ebaluaziorako, UPV/EHUko Hezkuntzako fakultateetako irakasleen autodeskribapenak erabili dira; kanpo-ebaluaziorako, Itun Berriko San Pauloren gutunen corpus paralelo eleaniztuna aztertu da euskaraz, gaztelaniaz, ingelesez eta frantsesez.
Kəskin Böyrək Zədələnməsi
Authors: Mamedov Mamed
Published: October 2024

Kəskin Böyrək Zədələnməsi Kəskin Böyrək Zədələnməsi Kəskin Böyrək Zədələnməsi Kəskin Böyrək Zədələnməsi Kəskin Böyrək Zədələnməsi Kəskin Böyrək Zədələnməsi
Melanomanın yüzeyde zenginleştirilmiş Raman spektroskopisi ile tespitinde ortama eklenen serum miktarının sınıflandırma başarısı üzerine etkisinin incelenmesi
Authors: Uysal Çiloğlu Fatma
Published: October 2024

Dünya genelinde ölüm oranları açısından ilk sıralarda yer alan melanomanın tespitinde kullanılan yöntemlerin dezavantajlarından dolayı yeni yöntemlerin geliştirilmesine ihtiyaç duyulmaktadır. Bu doğrultuda yüzeyde zenginleştirilmiş Raman spektroskopisi (YZRS) güçlü ve alternatif bir teknik olarak karşımıza çıkmaktadır. Bu çalışmada deri fibroblast, tümör ilişkili fibroblast ve melanoma hücrelerine ait yüzeyde zenginleştirilmiş Raman spektroskopi (YZRS) spektrumları farklı öz nitelik çıkarma yöntemleri ve sınıflandırıcılar kullanılarak analiz edilmiştir. Hücrelerin kültür aşamasında hücre kültür ortamına eklenen serum miktarının sınıflandırıcı başarısı üzerine etkisi araştırılmıştır. Serum eklenmeyen hücre kültür ortamlarında kültürlenen hücrelerden toplanan spektrumların makine öğrenme teknikleri ile sınıflandırma işlemi gerçekleştirildiğinde sınıflandırma başarılarının serum eklenen gruba göre daha yüksek olduğu tespit edilmiştir. Sınıflandırma başarısı k en yakın komşu algoritması kullanıldığında %96,8±0,29 olarak bulunmuş olup serum eklenen ve eklenmeyen gruplara ait sınıflandırma başarısı arasında istatistiksel açıdan anlamlı bir fark bulunmuştur.
Demir Katkılı Zeolitik İmidazol Ağ Yapısı Katalizörler Kullanılarak Fenton Benzeri Oksidasyonu ile Kristal Viyole Gideriminde Reaksiyon Parametrelerinin ve Kinetiğinin İncelenmesi
Authors: Yılmaz Mertsoy Esra , Palas Burcu
Published: October 2024

Kristal Viyole (KV), tekstil ve kâğıt endüstrilerinde yaygın olarak kullanılan sentetik bir boyadır. Bu boya, çevreye atıldığında su kaynaklarında kalıcı kirliliğe yol açabilir, biyolojik olarak parçalanması zordur ve toksik etkileri nedeniyle sucul yaşamı olumsuz etkiler. Bu nedenle, KV'nin su kaynaklarından etkin bir şekilde giderilmesi büyük önem taşır. KV'nin giderimi, çevre sağlığının korunması, ekosistem dengesinin sürdürülebilmesi ve insan sağlığının olumsuz etkilenmesinin önlenmesi açısından kritik bir konudur. Bu çalışmada Demir yüklü ZIF-8 sentezi gerçekleştirilmiştir (Fe/ZIF-8). Zeolit imidazol ağ yapıları, yüksek kimyasal stabilite ve esneklik sergileyen ve reaksiyonlarda, gaz ayırma ve saflaştırma, gibi uygulamalarda kullanılan çok sağlam yapıya sahip gözenekli koordinasyon polimerleridir. Düşük üretim maliyetleri, kolay sentez yöntemleri ve işlevselleştirilebilirliği nedeniyle atık su arıtım proseslerinde kullanılmak üzere zeolit imidazol ağ yapıları seçilmiştir. Sentezlenen Fe yüklü ZIF-8 Fenton benzeri oksidasyonu yöntemi ile atık sulardan Kristal Viyole uzaklaştırılmasında kullanılmıştır. Fenton benzeri oksidasyonunda Fe-ZIF-8 kullanımı ile 60 dakikada %99,6 kristal viyole giderimi sağlanmış ve gerçekleştirilen kinetik çalışmalarda boya gideriminin birinci mertebeden reaksiyon kinetiğine uyduğu belirlenmiştir.
The effects of inflation, shortages, and partial backlogs on products that deteriorate over time in response to varied demand
Authors: Raghav Yashpal Singh , Ali Mohd Aftab , Goel Abhinav , Kumar Sandeep
Published: October 2024

This study aims to determine an optimal policy to deal with a situation where a retailer should have enough stock to meet customer demands and prevent supply loss and deterioration. In this study, we demonstrate the impact of partial backlogging, shortages, and inflation on decaying items to provide the most relevant solutions to this problem. The model uses a two-parameter Weibull deterioration distribution with an exponential demand rate. Numerical results and sensitivity analysis are combined with a graphical demonstration, and the proposed approach is reliable and accurate, providing a new explanation for a different type of system. This paper determines the total cost and optimal production run time by developing an inventory model. Sensitivity analysis is carried out to demonstrate the proposed model.
On Combining Ratio and Product Type Estimators For Estimation of Finite Population Mean In Adaptive Cluster Sampling Design
Authors: Mishra Rohan , Singh Rajesh , Raghav Yashpal Singh
Published: October 2024

This article introduces a novel class of estimators and several new novel member estimators, combining the ratio and product forms, within the framework of Adaptive Cluster Sampling (ACS) design for estimating finite population mean. Specifically designed for rare or hidden clustered populations, the new novel estimators developed from the proposed class offer enhanced efficiency in estimation. To study the proposed class comprehensively, we derive expressions for the bias and Mean Squared Error (MSE) up to the first order of approximation. Through comprehensive simulation studies, we demonstrate the superior efficiency of the new developed estimators over several existing alternatives considered in this study.
Navigating Tomorrow's Tide: Exploring the Future of Ocean Resources and Their Impact on Food and Feed Safety
Authors: Barranco Alejandro , Cunha‐Silva Hugo , Aranda Martin , Mader Julien , Cotano Unai , Ramos Paula , Camacho Carolina , Gomes Sónia , Oliveira Helena , Nunes Maria Leonor
Published: October 2024

Abstract
In a context of global changes, a foresight study is helpful to look into the future, anticipate possible scenarios and take appropriate decisions to face emerging risks for food and feed safety. Considering that an increased use of the ocean is expected for the next decades, it is essential to explore its possible impact on the safety of food and feed from the oceans. A scoping study was carried out to analyse drivers of change that may impact/promote the future uses of the ocean and its resources. From bibliographic search, different ocean uses were identified: coastal and open‐sea mining, marine aquaculture, sea transport and trade, energy production and related infrastructures, fisheries, ocean crops, saline farming, desalination, extraction of bioresources, marine protected areas and conservation of the ocean. Through the information gathered in the scoping study and the input of several experts, three key ocean uses were prioritised to proceed to a participatory foresight exercise: (i) coastal and open‐sea mining; (ii) marine aquaculture; and (iii) sea transport and trade. The foresight exercise produced three possible scenarios for 2050 for each prioritised use of the ocean. On the basis of these scenarios, possible implications and potential emerging issues for the safety of food and feed from the oceans were identified and characterised through bibliographic data. This document also provides a description of the methodology followed in the scoping study and in the foresight exercise, and recommendations that could help EFSA to prepare to the challenges posed by the future exploitation of ocean resources.
CONFLICT, ITS MANAGEMENT AND RESOLUTION
Authors: Mishra Ashutosh
Published: October 2024

Conflict is an inevitable aspect of human interaction, arising from diverse perceptions, goals, and values. This paper explores the multifaceted nature of conflict, encompassing both its origins and consequences within organizational settings. It emphasizes that conflicts often stem from incompatible goals and societal divisions, exacerbated by factors such as resource scarcity and identity differences. While conflicts can lead to negative emotions and hinder productivity, they also have the potential to spur innovation and foster collaboration when managed effectively. This study delves into various dimensions of conflict management, highlighting strategies that mitigate detrimental impacts while harnessing constructive outcomes. By analyzing both functional and dysfunctional effects, it underscores the importance of proactive conflict resolution in fostering healthier organizational climates. Ultimately, this paper advocates for a nuanced understanding of conflict as a catalyst for organizational growth and resilience.
TRANSIT ORIENTED DEVELOPMENT POLICY OF INDIA AND THE BARRIERS IN ITS IMPLEMENTATION
Authors: Gupta Shivam , Narang Prachi , Choudhury Deepashree
Published: October 2024

Transit-Oriented Development (TOD) has emerged as a promising urban planning approach globally, aiming to create sustainable, equitable, and livable cities by promoting compact, mixed-use development around transit nodes. In India, where rapid urbanization and burgeoning population densities pose significant challenges to urban mobility and sustainability, TOD has gained traction as a potential solution. However, the effective implementation of TOD policies in Indian cities faces numerous barriers, including deficiencies in public transportation infrastructure, outdated land use regulations, affordability and accessibility concerns, financing constraints, governance issues, and challenges related to gap in policy between state and local bye laws in its implementation. This research paper provides a comprehensive analysis of these barriers and proposes a policy framework to overcome them, drawing on insights from international best practices and case studies from Indian cities. Through an interdisciplinary approach that integrates urban planning, transportation engineering, economics, and public policy perspectives, this paper offers actionable recommendations for policymakers, urban planners, and stakeholders to facilitate the successful implementation of TOD in Indian cities. By addressing the identified barriers and leveraging the potential of TOD, India can realize its vision of sustainable, inclusive, and transit-oriented urban development.
CLIMATE CHANGE AND EXTREME EVENTS: EXPLORING THE INTERFACE
Authors: Choudhury Deepashree
Published: October 2024

This review paper delves into "Resilience to Climate Crisis in the Anthropocene" within the broader context of "Climate Change: Conflict and Resilience in the Age of Anthropocene." It highlights that the issues resulting from climate change are both environmental and societal, intricately woven into the fabric of communities. Emphasizing the proactive cultivation of community resilience as essential for sustainable development, the chapter aims to deliver an in-depth understanding of this dynamic. The significance of this chapter lies in its holistic approach to how communities, as frontline responders, can develop resilience strategies to mitigate vulnerabilities and enhance adaptive capacities. By elucidating the interplay between climate change and community resilience, it seeks to empower policymakers, practitioners, and researchers with interdisciplinary insights. The methodology involves a comprehensive literature review that explores the interrelationship of climate change and community resilience. The paper aims to offer actionable insights and practical implications for policy formulation, governance, and community-based adaptation strategies, thereby serving as a roadmap for stakeholders. It aspires to guide informed decision-making and inspire collaborative efforts to cultivate resilient communities that pave the way for sustainable development in the Anthropocene.