bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the 11-year solar cycle signals in the middle atmosphere in multiple-model ensemble simulations
Authors: Huo Wenjuan , Spiegl Tobias , Wahl Sebastian , Matthes Katja , Langematz Ulrike , Pohlmann Holger , Kröger Jürgen
Published: May 2024

Abstract. To better understand possible reasons for the diverse modeling results and large discrepancies of the detected solar fingerprints, we took one step back and assessed the "initial" solar signals in the middle atmosphere based on large ensemble simulations with multiple climate models — FOCI, EMAC, and MPI-ESM-HR. Consistent with previous work, we find that the 11-year solar cycle signals in the short wave heating rate (SWHR) and ozone anomalies are robust and statistically significant in all three models. These "initial" solar cycle signals in SWHR, ozone, and temperature anomalies are sensitive to the strength of the solar forcing. Correlation coefficients of the solar cycle with the SWHR, ozone, and temperature anomalies linearly increase along with the enhancement of the solar cycle amplitude, and this reliance becomes more complex when the solar cycle amplitude exceeds a certain threshold. In addition, the cold bias in the tropical stratopause of EMAC dampens the subsequent results of the "initial" solar signal. The warm pole bias in MPI-ESM-HR leads to a weak polar night jet (PNJ), which may limit the top-down propagation of the initial solar signal. Although FOCI simulated a so-called top-down response as revealed in previous studies in a period with large solar cycle amplitudes, its warm bias in the tropical upper stratosphere results in a positive bias in PNJ and can lead to a "reversed" response in some extreme cases. We suggest a careful interpretation of the single model result and further re-examination of the solar signal based on more climate models.
Implementation of a Simple Actuator Disk for Large-Eddy Simulation in the Weather Research and Forecasting Model (WRF-SADLES v1.2) for wind turbine wake simulation
Authors: Bui Hai , Bakhoday-Paskyabi Mostafa , Mohammadpour-Penchah Mohammadreza
Published: May 2024

Abstract. In this study, we present the development of a Simple Actuator Disk model for Large-Eddy Simulation (SADLES), implemented within the Weather Research and Forecasting (WRF) model, which is widely used in atmospheric research. The WRF-SADLES model supports both idealized studies and realistic applications through downscaling from realistic data, with a focus on resolutions of tens of meters. Through comparative analysis with the Parallelized Large-eddy Simulation Model (PALM) at resolutions of 10 and 30 m, we validate the effectiveness of WRF-SADLES in simulating the wake characteristics of a 5 MW wind turbine. Results indicate good agreement between WRF-SADLES at 30 m resolution and 10 m resolution and the PALM model. Additionally, we demonstrate a practical case study of WRF-SADLES by downscaling ERA5 reanalysis data using a nesting method to simulate turbine wakes at the Alpha Ventus wind farm in the south of the North Sea. The meso-to-micro downscaling simulation reveals that the wake effect simulated by WRF-SADLES at the FINO1 offshore meteorological mast station aligns well with the cup anemometer and lidar measurements. Furthermore, we investigate an event of farm-to-farm interaction, observing a 16 % reduction in ambient wind speed and a 38 % decrease in average turbine power at Alpha Ventus due to the presence of a wind farm to the southwest. WRF-SADLES offers a promising balance between computational efficiency and accuracy for wind turbine wake simulations, making it valuable for wind energy assessments and wind farm planning.
Avanços recentes na regulação ambiental da infraestrutura portuária brasileira
Authors: Monteiro Sandro Jose
Published: May 2024

This document contains a report on the actions of ANTAQ, the Brazilian regulatory agency for ports and navigation, regarding positive actions related to the improvement of norms and sustainability standards for facilities. It demonstrates the evolution of regulation from 2011 to 2023, as well as the international legislation complied with and the practical results for stackeholders. The report demonstrates initiatives related to dangerous cargo, environmental licensing, vessel waste and preventive operational care.
Do exercício do controle externo sobre as entidades fechadas de previdência complementar
Authors: Oliva Reis Sérgio
Published: May 2024

O presente trabalho apresenta algumas reflexões sobre a evolução do tratamento dos Regimes Fechados de Previdência Complementar no Direito Brasileiro, e o novo cenário que impõe aos Entes Públicos disponibilizar esse sistema aos servidores públicos. Apresenta ainda a controvérsia judicial instaurada quanto à possibilidade de se realizar o controle externo sobre as Entidades Fechadas de Previdência Complementar.
Tomada de contas especial. Convênio celebrado com a finalidade de patrocínio. Ausência de fins comerciais. Omissão no dever de prestar contas. Inexistência de laudo conclusivo
Authors: Bezerra Mesquita Patrick
Published: May 2024

Trata-se de Tomadas de Contas Especial referente ao Convênio n. 008/2014, celebrado entre a Secretaria de Estado de Turismo — Setur e a Instituição Caruanas do Marajó Cultura e Ecologia — ICMCE, cujo objeto era: “o repasse de recursos pela Setur ao Convenente, a título de complementação do patrocínio, para realização do filme de longa-metragem ‘ENCANTADOS’ e lançamento comercial em parceria com a Globo filmes”, com vigência de 02/07/2014 a 02/10/2014, sendo responsável pela prestação de contas a Sra. Zeneida Lima de Araújo, Presidente do ICMCE à época
La representación del otro como un enemigo. Los relatos noticiosos sobre las movilizaciones del movimiento indígena en Ecuador (2019-2022)
Authors: Luna Báez Verónica , Simelio Solá Núria , Forga Martel Maria
Published: May 2024

Este artículo examina los relatos noticiosos de los medios televisivos, escritos y digitales de mayor audiencia en Ecuador, generados durante la cobertura de las movilizaciones sociales del movimiento indígena en octubre de 2019 y junio de 2022. Se lleva a cabo un análisis de contenido, tanto cualitativo como cuantitativo, sobre un conjunto de 1274 noticias con el propósito de identificar las prácticas recurrentes de los medios de comunicación para construir la representación de un "enemigo". Este enemigo es presentado como un campesino ignorante, contrastado con el modelo urbano percibido como superior.
Las noticias sobre medioambiente en los medios de comunicación españoles verificados por la International Fact-Checking Network
Authors: Gallardo-Camacho Jorge , Presol Herrero África , Rubio Jiménez Mariela
Published: May 2024

En un contexto de desinformación creciente en internet, analizamos las noticias relacionadas con el medio ambiente de los cinco medios españoles de la Red Internacional de Verificación de Datos (IFCN): Efe Verifica, Infoveritas, Maldita, Newtral y Verificat. Planteamos una metodología cuantitativa con una muestra de 217 noticias (en un periodo de hasta casi 3 años) y 1.258 publicaciones de sus cuentas de X (antes Twitter) durante un mes. Concluimos que tienen un compromiso para promover una sociedad más sostenible, aunque la función principal de las noticias creadas y difundidas es explicativa o informativa con una temática predominante sobre “temperaturas y cambio climático”; además detectamos que no existe una estrategia común de difusión por parte de estos medios.
La Comunicación Azul en la administración regional y local: Caso de la Junta de Andalucía y el Ayuntamiento de Málaga
Authors: Lobillo Mora Gema , Lozano del Águila Mariana
Published: May 2024

El concepto de Comunicación Azul nace de la necesidad de categorizar una nueva forma de transmitir conocimiento y divulgación, de la mano de la Economía Azul (Pauli, 2011). El objetivo es analizar la Comunicación Azul en la administración pública andaluza (Consejería de Sostenibilidad, Medio Ambiente y Economía Azul) y local (Área de Sostenibilidad y Medio Ambiente del Ayuntamiento de Málaga) a través de sus perfiles de Facebook; además de la cobertura mediática dos medios de comunicación (Diario Sur e Ideal de Andalucía) durante siete meses. Se ha diseñado una metodología que integra un análisis formal-descriptivo, temático y de interacción de los medios de comunicación propios y ganados. Se identifica un tratamiento positivo e informativo del tema, así como una evaluación de errores.
Hacia una televisión cada vez más ambiental y ecologista
Authors: Calvo Gutiérrez Elvira
Published: May 2024

La televisión ha sido tradicionalmente la principal fuente para que los ciudadanos se informen sobre noticias relacionadas con el medioambiente y la ecología. Este trabajo repasa algunos trabajos científicos previos que así lo demostraban y los contrasta con los datos más actualizados, extraídos del Perfil Ambiental en España (2021), la Encuesta de Percepción Social de la Ciencia y la Tecnología de FECYT (2022)  y el Observatorio de la Calidad de la Información en Televisión (OCITV) (2023). Los resultados no solo apuntan a que internet ha superado a la televisión como fuente de la información medioambiental; además, se clasifican nuevas temáticas ecologistas tratadas en los programas de la televisión actual así como sus peculiaridades y la incidencia en la ciudadanía. Por último, el trabajo apunta algunas claves que podrían posibilitar una televisión mejor, más divulgativa, sin perder el sesgo del entretenimiento y  le permita rivalizar con internet -webs, blogs y redes sociales.
Estrategias de supervivencia entre la sumisión y la disidencia: una lectura de la represión franquista en clave de género
Authors: Peinado Rodríguez Matilde
Published: May 2024

En este trabajo se realiza una lectura de la represión franquista a la luz de la perspectiva de género, para deconstruir los fundamentos en torno a los cuales se ha historiado la participación del colectivo femenino y demostrar los sesgos androcéntricos y patriarcales que aún prevalecen. Para ello, proponemos un acercamiento situado a las fuentes primarias, la integración de fuentes secundarias así como la conjunción de la perspectiva del macro y el microanálisis de la historia oral, para defender un protagonismo mucho mayor y prolongado en el tiempo de las mujeres, para las que el modelo de feminidad franquista se erigió en una herramienta exclusiva de “represión sexuada”.
En este contexto, la supervivencia cotidiana que protagonizaron en gran medida las mujeres, lejos de ser sumisa aceptación de su destino social, genérico y familiar, nos proporciona nuevos argumentos para construir la historia “desde abajo” con trayectorias vitales de resistencia y disidencia.
Las fotografías que ilustran las informaciones sobre inteligencia artificial en los medios españoles (2017-2021). Un análisis desde la perspectiva de género
Authors: Gai Xiaoyu Gai , Sainz de Baranda Andújar Clara , Franco Yanna G.
Published: May 2024

El artículo se centra en las fotografías que publican los diarios digitales españoles (2017-2021) sobre Inteligencia Artificial (IA), con especial atención a las diferencias de género y al papel de las mujeres. La muestra final es de 6.466 imágenes. Como resultado, cabe destacar la infrarrepresentación de las mujeres, que constituye en sí misma una realimentación de la segregación de género que existe actualmente en este sector. Desde el punto de vista cualitativo, las imágenes que fomentan los estereotipos de género se asocian a tres conceptos claves: la división sexual del trabajo, presente en el diseño de la robótica y la IA; la cosificación sexual de las mujeres, al asociar una imagen de feminidad a los robots sexuales; además de la infrarrepresentación de las mujeres y su falta de protagonismo en los avances científicos de los que se informa.
Predictive biomarkers of preeclampsia severity in a low resource setting: Role of red blood cell indices, NLR, and albumin-to-creatinine ratio
Authors: Tobing Immanuel DL. , Lumbanraja Sarma N. , Lintang Letta S. , Edwar Rafli R. , Adenin Ichwanul , Lubis Muara P. , Sukatendel Khairani , Suarthana Eva
Published: May 2024

Preeclampsia (PE), a serious medical condition with substantial maternal and perinatal implications, poses a significant challenge, particularly in high-incidence countries like Indonesia. Red blood cell (RBC) indices, neutrophil-to-lymphocyte ratio (NLR), and microalbuminuria (albumin-to-creatinine ratio (ACR)) may signal systemic inflammation and endothelial dysfunction, recently recognized as potential indicators for diagnosing and predicting disease severity. The aim of this study was to analyze RBC indices, NLR, and ACR changes in women with PE and their potential for predicting disease severity. A cross-sectional study was conducted at multi-center hospitals across Medan, Indonesia, from June 2022 to June 2023. The patients were grouped into PE cases with and without severe features. Demographic characteristics and complications were recorded while blood and urine were tested. The Chi-squared test, Fisher's exact test and Mann-Whitney test were used to determine biomarkers associated with severe PE. A total of 208 PE patients were included in the study (104 patients for each PE with and without severe features). Our data indicated that PE patients with severe features had higher red cell distribution width (18.5% vs 13.7%; p<0.001), NLR (5.66% vs 4.1%; p<0.001), and ACR (755.97 mg/dL vs 468.63 mg/dL; p<0.001) compared to those without severe features. In contrast, the platelet count was lower in severe features than those without (21.9 × 106/µL vs 27.0 × 106/µL; p=0.002). This study highlighted that PE patients with severe features predominantly had higher levels of RDW, NLR, and ACR and lower platelet counts compared to those without severe features. Therefore, basic tests such as complete blood count and urinalysis, which are inexpensive and feasible in primary care settings with limited resources, offer hope as valuable diagnostic biomarkers for pregnant women diagnosed with PE in a low resource setting.
"Sense" et "feeling" : l'expérience du sentiment
Authors:   LISAA EA 4120, Université de Marne-la-Vallée, Béligon Stéphanie
Published: May 2024

En anglais contemporain, les substantifs sense et feeling paraissent être synonymes lorsqu'ils renvoient aux sentiments. Les contextes dans lesquels ils apparaissent suggèrent néanmoins qu'ils présentent les sentiments sous des angles différents. Notre objectif sera de rendre compte de ces lexèmes en donnant toute sa place à la dimension incarnée, vécue du lexique. Nous nous appuierons sur les collocations que forment ces substantifs dans les structures sense of + substantif et feeling of + substantif d'une part, et verbe + a sense of et verbe + a feeling of d'autre part. Nous verrons que, bien que superficiellement synonymes, feeling et sense véhiculent deux visions différentes des sentiments, l'un mettant en évidence le caractère conventionnel de l'expérience, sa dimension sociale, et l'autre la dimension singulière et incarnée du ressenti.
Entre énaction, perception sémiotique et socialité du sens : phénoménologie de la parole et de l’activité de langage
Authors:   Laboratoire ICAR UMR 5191 (Interactions, Corpus, Apprentissages, Représentations) Ecole Normale Supérieure de Lyon Post-Doctorant ASLAN (Labex), Bondi Antonio
Published: May 2024

Nous proposons ici une réflexion épistémologique et philosophique autour de la nécessité d’un modèle énactiviste, phénoménologique et socio-sémiotique de l’expérience langagière. Pour ce faire, nous envisageons rediscuter le dispositif conceptuel comprenant les dimensions de langage, langue et parole, dans le cadre d’une anthropologie sémiotique, inspirée des thèmes enactivististes et phénoménologiques en linguistique et sémiotique. Ainsi, nous partirons d’un examen de certains aspects empiriques de l’espace d’interlocution et focaliserons en particulier les opérations d’émission et de réception exécutées par les locuteurs et les colocuteurs. L’idée d’une perception sémiotique intègre ensuite le programme des grammaires cognitives en mettant en valeur les dynamiques proprement sémiotiques, praxéologiques et culturelles, constituant les phases de stabilisation du sens.
Towards an enactive lexicology: From muscle salience to signifying
Authors:   LRL, UCA, Grégoire Michael
Published: May 2024

This paper lays some foundations for a method of enactive lexicology by applying the postulates of enaction at the submorphological level following Bottineau (2008, 2010, 2012a, b). We use the theory of submorphemic saliencing (Author 2012a, 2014a,b; 2015), which postulates that only one of the signifier’s characteristics is exploited for a given word according to synchronic events and utterances. The enaction of form and meaning underpinned by this saliencing process therefore involves the activation of one part and the inhibition of the rest of the morphology, analogously to muscular and neural functions. It is also a phenomenon that is at once « perc-active », simplex and vicarious according to the definitions of Berthioz (1997, 2009, 2013).
Formulation and Evaluation of Domperidone Lozenges
Authors: Maharjan Sajan , Tiwari Rupesh , Regmi Kripa , Neupane Sarbani
Published: May 2024

The lozenges are the best dosage forms for formulating large dose medicaments. The anatomy of mouth and cheek helps in easy and effective systemic absorption of drug and also better patient compliance especially for pediatrics and geriatrics due to their taste palatability. The formulation involves mixing of Domperidone with excipients used in the formulation in different ratios by using heat congealing technique in which sucrose and dextrose were heated separately, fused together and reheated, after which polymer HPMC K 100M, and all other excipients were added and moulded. The lozenges were then subjected to evaluation of quality parameters like weight variation test, Physical parameters, drug content and in vitro release studies. Result showed that effect of polymer like HPMC showed better effect in heat & congealing technique. Lozenges were prepared by using HPMC polymer of different ratios which showed a satisfactory result in both in vitro dissolution studies and drug content. Drug content and in vitro drug release of the optimized formulation were 100.59% and 102.61% respectively. Thus, Domperidone lozenges can be used commercially for the better patent compliance which saves time as well as cost.
Utilization Patterns of Maternal and Child Health (MCH) Care Services: A Cross-Sectional Study in Rawalpindi, Pakistan
Authors:   Health Services Academy, Islamabad, Pakistan., Javaid Fasiha , Ul Ain Qurat ,   Hamdard University, Islamabad, Pakistan., Javed Hina ,   Bashir Institute of Health Sciences, Islamabad, Pakistan., Nimra Mehak ,   National Institute of Health, Islamabad, Pakistan., Lashari Nisar Ahmad ,   Health Services Academy, Islamabad, Pakistan.
Published: May 2024

Background: Despite the implementation of various maternal health programs and schemes at both regional and national levels in Pakistan, maternal mortalities and morbidity remain significantly high. This suggests that maternal health services are being underutilized. Aim: This current study focuses on assessing the utilization patterns of maternal health services and the factors associated with their utilization in Rawalpindi, Pakistan. Methods: The cross-sectional study was conducted over one year (2021-2022) among mothers aged 15 to 49 years in the field practice area of DHQ Rawalpindi. The minimum required sample size was determined as 645. Participants were selected using a simple random sampling technique from a randomized list of villages. Data was collected through home visits, utilizing a pretested, standardized questionnaire. In the analysis, the significance of associations between variables was established at P<0.05. Results: Among the 645 potential participants, 632 provided consent for inclusion in the study. Only 58.3% of participants received any Antenatal Care (ANC), and a mere 11.7% received full ANC services. More than half of the participants (52.7%) had experienced pregnancy-related complications. Variables such as younger age and limited decision-making capacity were significantly associated with the lack of full ANC services (P<0.05). Conclusion: This study highlights that a woman’s age, literacy status, parity, socioeconomic status, and occupation are major determinants influencing the utilization of maternal health care services. These determinants should be taken into account when planning future interventions aimed at promoting attitudinal changes and, consequently, enhancing the utilization of maternal health care services.
Characteristics and Management of Brucellosis-Related Spondylodiscitis: A Prospective Study
Authors:   Infectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Tunisia., Koubaa Makram , Hammami Fatma ,   Infectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Tunisia., Smaoui Fatma ,   Infectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Tunisia., Rekik Khaoula ,   Infectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Tunisia., Feki Wiem ,   Department of Radiology, Hedi Chaker University Hospital, University of Sfax, Tunisia., Ayed Nour Ben ,   Microbiology Laboratory, Habib Bourguiba University Hospital, University of Sfax, Tunisia., Marrakchi Chakib ,   Infectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Tunisia., Jemaa Mounir Ben ,   Infectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Tunisia.
Published: May 2024

Introduction: Brucellosis-Related Spondylodiscitis (BSD) presents diagnostic and therapeutic challenges due to nonspecific clinical signs, delayed appearance of radiological findings, and the lack of precise therapeutic consensus. Objective: This study aimed to determine the epidemiological, clinical, biological, radiological, therapeutic, and outcome characteristics of BSD. Patients and methods: A prospective study was conducted, including all patients hospitalized in the infectious diseases department between 2011 and 2020 with a confirmed diagnosis of BSD. Diagnosis was established based on a combination of clinical, biological, and radiological evidence. Result: The study comprised 41 cases. The mean age of patients was 52.2±15.7 years, with a male predominance (71%). Consumption of contaminated dairy products (90.2%) was the primary mode of transmission. The average time to consultation was 101.5±68 days. Febrile spinal pain was reported in all cases. Wright serology was positive in all cases. Brucella melitensis was isolated in 5 blood cultures (12.8%). The lumbar spine was the most commonly affected site (65.8%). Reported complications included paravertebral abscesses (61%), psoas abscesses (29.3%), epiduritis (61%), and spinal cord compression (14.6%). The most commonly used antibiotic combination was doxycycline-rifampicin-trimethoprim-sulfamethoxazole (39%). The mean treatment duration was 7.3±3.1 months. Favorable outcomes were observed in 63.1% of cases.
Malignant Priapism Caused by Metastases to the Penis in a Patient with Prostate Cancer
Authors:   University Hospital Kaspela, Plovdiv, Bulgaria., Yavor Dechev , Stephan Zdravchev ,   Department of Urology and General Medicine, Medical University of Plovdiv, Bulgaria., Dimitar Kalinov ,   Department of Urology and General Medicine, Medical University of Plovdiv, Bulgaria., Spasimir Shopov ,   Unit of General and Clinical Pathology, Uni Hospital Panagyurishte, Bulgaria., Dechev Ivan ,   University Hospital St. George, Plovdiv, Bulgaria.
Published: May 2024

Penile squаmous cell cаrcinomа is а rаre mаlignаncy аnd secondаry mаlignаncies to the penis аre extremely rаre аnd represent а unique chаllenge for urologists. We report а cаse of аn 80-yeаr-old pаtient with 3-month pаinful priаpism from locаlly аdvаnced prostаte аdenocаrcinomа аnd successfully treаted with surgery ‒ totаl penectomy without emаsculinisаtion аnd open rаdicаl prostаtectomy with suprаpubic definitive cystostomy. Whаt becomes exceptionаl in our clinicаl cаse is thаt the penile metаstаses were the first diseаse symptom, since until this moment the primаry prostаte tumor hаs been silent. So fаr, the pаtient is аlive аnd well аfter 14 months of follow-up. To the best of our knowledge, this is the first reported Bulgarian case describing malignant priapism in metastatic prostate cancer.
Obesity and Albuminuria in Patients with Chronic Renal Disease and Hypertension as a Comorbidity: The Optimum Body Mass Index
Authors:   Department of Nephrology, DOCTORS’ General Clinic, Athens, Greece., Raikou Vaia D , Gavriil Sotiris ,   Department of Bariatric Surgery, DOCTORS’ General Clinic, Athens, Greece.
Published: May 2024

Background: Obesity was associated with a greater risk for development of Chronic Kidney Disease (CKD) among subjects with and without hypertension, diabetes or cardiovascular disease. We aimed to consider the association between obesity and albuminuria in patients with CKD according to Estimated Glomerular Filtration Rate (e-GFR) and demonstrated hypertension. We also aimed to observe the optimum Body Mass Index (BMI) in this population. Methods: One hundred-thirty-three overweight and/or obese subjects with manifested hypertension were participated and they were matched to forty-three hypertensive control subjects with a normal body weight. Our participants were classified in both eGFR and albuminuria categories according to the Kidney Disease Improving Global Outcomes (KDIGO) 2012 criteria. The obesity was defined as a high BMI (≥25 Kg/m2 as overweight and/or ≥30 Kg/m2 as obese) and the central obesity as a high waist circumference (WC) (≥94 cm in males and ≥80 cm in females). Results: The most of subjects with a lean/normal BMI did not have albuminuria (x2=24.2, p=0.001) and the most of those with a high BMI, but with a normal WC did not have albuminuria (x2=39.7, p=0.001). The high WC was found to be a main risk factor for albuminuria adjusting to confounders. Conclusions: The central obesity was shown to be the most important factor for albuminuria in patients with classified CKD rather than a high BMI independently on hypertension. The optimum BMI seems to be in the normal range for these patients similarly to the general population.
Hermite –Hadamard and Hermaite –Hadamard Fejer inequality for new f-divergence measure via conformable fractional integrals
Authors: Anulika Sharma
Published: May 2024

In information geometry, a divergence measure is a type of statistical distance and a binary function which established the separation from one probability distribution to another on a statistical numerous. The basic use of divergence measure is statistical data processing, information storage, decision making etc. The most famous inequality regarding the integral mean of a convex function is HermiteâHadamard's inequality and the weighted version of this is called the Hermite-Hadamard-Fejér inequality. Purpose of this paper is to find Hermaite-Hadamard and Hermite-Hadamard Fejer type inequalities for new f-divergence measure with the help of conformable fractional integrals. Hermaite-Hadamard inequality gives us necessary and sufficient condition for a function must be convex. Here we consider the new f-divergence measure, it has the property of convexity. In this research article we drive some inequalities for t-convex function which gives us the extensions of the previous work for convex and t-convex function and also obtains some fractional midpoint type inequalities. The main purpose of this paper is to establish conformal fractional approximation of Hermaite-Hadamard and Hermite-Hadamard Fejer type inequalities for new f-divergence measure which close the fractional integral and the Riemann-Liouville integrable into single form,also gives us some new results for -Riemann-Liouville integral as special cases of main results. This article gives us most useful link between convexity and symmetry.
Enhancing Solar Power Forecasting using Grasshopper optimization and Whale Optimization Algorithm
Authors: Amit Kumar Mittal
Published: May 2024

Solar power forecasting is essential for effectively integrating solar energy into the power system. Accurate forecasting allows for more effective power system planning, operation, and management. In this research work, we employed the Grasshopper Optimization Algorithm (GOA) and Whale Optimization Algorithm (WOA) to choose features for solar power forecasting utilizing time series data from the OPSD dataset. The dataset contains measurements taken at 15-minute intervals, giving a wealth of data for training and verifying forecasting algorithms. The WOA is used to adjust the parameters of a forecasting model, hence increasing its accuracy and reliability. The suggested approach's performance is evaluated on a large-scale dataset, with training, validation, and test sets of 100,000, 50,000, and 51,347 data points, respectively. The results show that the WOA is effective at improving solar power forecasting accuracy, which contributes to the efficient use of renewable energy resources.
A Novel Integrated Switching Strategy for Reliable Starting of Two Terminal MMC HVDC Transmission System
Authors: Mohammedirfan I Siddiqui
Published: May 2024

If the initialization protocol of the Modular Multilevel Converter (MMC) system is not adhered to, the primary winding of the system transformer will experience a surge in inrush current, while the secondary winding on the converter side will exhibit significant starting current draw to charge the capacitors of the MMC-H-bridge. This pronounced initial current surge can trigger the activation of protective measures, leading to the disconnection of the High Voltage Direct Current (HVDC) line and thereby engendering power system reliability and stability concerns. This paper presents a starting methodology for a two-terminal MMC HVDC system. The proposed approach entails employing controlled switching techniques to mitigate inrush currents in the HVDC converter transformer, coupled with the utilization of pre-insertion resistance circuit breakers to diminish starting currents on the converter side. The efficacy of the aforementioned strategy is validated through simulations conducted on a two-terminal MMC HVDC system modeled using PSCAD/EMTDC, with the results confirming its effectiveness.
Investigation of SnO2-based Thick Film Gas Sensors through Optimization of Artificial Neural Networks Parameters for Hazardous Gas Detection
Authors: Bholey Nath Prasad
Published: May 2024

In the present study, a systematic approach for optimizing artificial neural network parameters for the detection of a greenhouse gas carbon di-oxide (CO2) through SnO2-based thick film gas sensors for a wide range of concentrations  is presented. The un-doped and Pd-doped SnO2 thick film is used as the sensor. The approach includes dataset preparation, input and output variable selection, artificial neural network architecture selection, training, validation, hyperparameter tuning, and testing. The input variables were selected based on their relevance to the problem at hand, such as the concentrations of the gas. The output variables were the changes in resistance of the sensor in response to the corresponding input variables. The artificial neural network architecture was carefully chosen, considering factors like the number of layers, neurons per layer, activation functions, and learning rate. Using the prepared dataset, the artificial neural network was trained by adjusting the connection weights between neurons to minimize the disparity between actual and predicted sensor responses. After training, the accuracy of the artificial neural network and generalization ability were assessed using a separate dataset for validation. The approach in the presented study can be used for different types of gases, and can be utilized in various applications
Multi-Area Load Dispatch with Emission and Fuel Cost Constraints Using Deep Recurrent Lstm Under Stochastic Pv and Wind Power Integration
Authors: A.Antony charles
Published: May 2024

An interconnected power system must employ multi-area economic load dispatch (MAELD) to keep generation dispatch efficient, satisfy load demands, and stay within technological limits. The goal of MAELD's operational constraints is to reduce fuel costs and emissions from multi-area power production facilities. Consequently, optimization solutions that successfully tackle MAELD problems are highly sought after. By merging an alternative model with the Deep Recurrent Neural Network (DRNN) one, this paper suggests a fresh approach to addressing MAELD problems. This paper provides a detailed account of the various optimization methodologies used to address the issue of load dispatch when non-conventional energy sources are present. Four domains utilizing 3-, 13-, and 40-unit systems were used to test the suggested DRNN and LSTM approach. Comparing this method to various optimization algorithms as firefly, Salp Swarm, Squirrel search, Particle Swarm, and Gross Hopper, results produced from the MATLAB/Simulink environment show that it delivers superior trade-off solutions without breaching limitations.
The Impact of Government Macro-Control on Commodity Housing Prices in China: An Analytical Study
Authors: Yilin Yin
Published: May 2024

The Chinese government has implemented macro-control measures to stabilize soaring housing prices, yet the effectiveness of these interventions remains largely unexamined. This study evaluates the impact of macroeconomic policies on commodity housing prices by considering both supply and demand factors and aims to construct a concise, robust simulation model. This model will serve as a reference for the government in establishing a systematic, strategic, and enduring macro-control mechanism for the real estate sector. Our model integrates four key variables: development/consumption stage tax rates, lending rates, and land prices, to simulate their collective influence on commercial housing prices. The findings indicate that: (1) the development stage tax rate and loan interest rates significantly enhance prices, demonstrating a strong positive feedback, whereas the consumption stage tax rate exerts a minimal negative impact; (2) land price exhibits the most substantial positive feedback effect on housing prices, primarily from the supply side; (3) adjusting land prices through land policy and modulating the development stage tax rate through tax policy are crucial for managing real estate development effectively; (4) a combined approach of adjusting land and development stage tax rates, supported by monetary policy, can significantly enhance the effectiveness of China’s real estate macro-policy regulation.
Preserving Privacy of IoT Healthcare Data using Differential Privacy and LSTM
Authors: D Kavitha
Published: May 2024

The Internet of Things (IoT) is a powerful technology creating revolutions in multiple industries for ex: Traffic and Healthcare domains. The patient data collected by continuous monitoring using IoT will support in treating the patients and make a positive impact on patients' well-being and increase the efficiency of healthcare workers. It is crucial to be aware of certain drawbacks and risks associated with protecting the privacy of the patient data which is one of the major problems being faced in the healthcare domain. Harmful individuals/Agencies will use IoT devices to obtain private data of patients. It’s of prime importance to protect privacy in healthcare. To improve the privacy of IoT Healthcare data, Geometric data perturbation along with Noise addition is introduced in this study utilizing Laplace Noise which comes under the framework of Differential Privacy. To increase accuracy, a deep learning technique Long Short-Term Memory (LSTM) is applied in this paper. LSTM has proven to be a superior model in accuracy when compared with other models like Decision Tree and Naive Bayes.
Enhancing Federated Learning Evaluation: Exploring Instance-Level Insights with SQUARES in Image Classification Models
Authors: Mayank Jindal
Published: May 2024

Federated Learning (FL) presents a novel approach within the domain of Machine Learning (ML)—enabling the training of ML models in a distributed manner. This paradigmatic shift ensures the preservation of user privacy by conducting the training process at the edge, where data remains localized on individual devices. This stands in contrast to the conventional centralized paradigm—where users transmit data to a central server for processing. The FL framework operates within a more heterogeneous environment characterized by diverse data distributions across clients, a departure from the engineer-analyzed datasets typical of centralized paradigms. Whereas, evaluation of FL models typically relies on statistical techniques such as accuracy, recall, precision, log loss, and the confusion matrix, alongside visualization methods. While these techniques provide an overview of the model's performance and data utilization—they may lack granularity when comparing models with disparate characteristics. However, the SQUARES technique, offers a more nuanced evaluation of model performance at the instance level. This approach facilitates the examination of data biases, outlier detection, and model behavior during training on individual samples. Therefore, this study presents the development and evaluation of an FL image classification model across various scenarios—utilizing the SQUARES prototype. In addressing these more intricate scenarios, we aim to augment traditional visualizations and metrics, thereby uncovering insights and nuances that may elude standard evaluation methods prevalent in ML benchmarks.
Dynamic Node Selection Approach for 6G Heterogeneous Cellular Networks (HCN) to Enhance QoS and Low Latency
Authors: Samuthira Pandi V
Published: May 2024

A wireless multi-hop network is a group of nodes that can interact directly with one another or across longer distances by using other nodes as relay points and routers. 6G heterogeneous cellular network support several transmission modalities, such as single hop, multi-hop transmission and device-to-any device transmission. These transmission services can greatly increase 6G cellular network capacity, spectral efficiency, power efficiency, Quality of Service (QoS) and Ultra Reliable Low Latency Communication (URLLC). According to current research, Heterogeneous Cellular Networks (HCN) can benefit even more from the integration of demand-driven opportunistic networking into HCN. Devices can search look for the connections between nodes that are most efficient. in Proactive HCN connections by taking advantage of the URLLC acceptability of many mobile data services. Multiple Transmission modes necessitate node selection schemes that can determine the best node for each transmission. Previous proposals for node selection schemes have taken into account the introduction of D2X and HCN. Proactive HCN connections, however, cannot be incorporated into the selection process by current node selection schemes. By implementing outward the first node selection scheme that can incorporate Proactive HCN sharing information within 6G and beyond networks, this research work enhances the existing work. The analysis that was carried out shows the potential for Proactive HCN communications as well as the ability of the suggested node selection scheme to choose the best communication node to enhance QoS and Low Latency.
Diagnosis of Multiple Sclerosis Lesion using Deep Learning Models
Authors: Siva Balan R V
Published: May 2024

Exploring the identification of Multiple Sclerosis (MS) lesions involves leveraging diverse machine learning classifiers. Using Magnetic Resonance Imaging (MRI) scans, the study aims to detect and characterize these lesions, evaluating their attributes, progression stages, and the pivotal role of Artificial Intelligence (AI) in diagnosis. The focus is on analyzing automated detection algorithms, particularly Deep Learning techniques. Through comprehensive assessment, various classifiers including MLP Classifier, Random Forest (RF), Support Vector Machine (SVM), and DL are evaluated using metrics like precision, recall, F1-score, and accuracy. The DL classifier stands out, achieving remarkable precision (99%), recall (99%), and overall accuracy (99.5%). Comparative analysis confirms its superiority, reinforcing its efficacy over alternative methods. The research underscores the DL model's potential in generalizing to new samples due to its robustness and precision. This study significantly advances automated MS lesion detection, highlighting the promise of AI-based methodologies in medical image analysis.
Deployment of Lifetime Cost Analysis to Reassess Economic Current Density in the Presence of Vietnam’s Market Economy
Authors: Nang-Van Pham
Published: May 2024

A decent choice of conductor size for overhead power transmission lines can provide economic advantages throughout the project’s lifetime. One of the crucial criteria for sizing conductors is economic current density. In Vietnam, the electricity industry has extensively utilized the 1950s-era economic current density that ignores the value of cash flow at diverse points in time and applies the assumption of the constant electricity tariff and wire cost. These costs, nonetheless, are likely to greatly impact the figures of economic current density; as a result, these figures must be modified. This paper puts forward novel figures of economic current density that are systematically determined on the basis of lifetime cost (LTC) analysis in the presence of Vietnam’s market economy. The LTC is made up of the initial capital expenditure (ICE) and the overall operating cost (OPC), which includes the expense incurred for maintenance and electricity energy loss. An analytical formulation of ICE related to conductor size and system voltage is established based on information from recently built overhead transmission lines and a regression-based method. The electricity energy loss is computed based on equivalent hours of maximum power loss contingent upon equivalent hours of maximum power usage throughout an analytical expression obtained on the basis of the regression technique from load consumption patterns in the past. Finally, the feasibility and efficacy of the proposed economic current density values are validated by practical case studies of overhead transmission lines in Vietnam. The deployment of the suggested strategy demonstrates a decrease in lifetime cost ranging from approximately 5% to around 20% in comparison to the methodology prescribed by the existing Vietnam standard.
Does Japanese Manufacturing FDI in ASEAN5 Facilitate Trade?
Authors:   The Northeast Asia Economic Association Of Korea, Keum Euimin , Lee Chang-min
Published: May 2024

manufacturing companies, but their expansion slowed in the early 2000s due to the
rise of China. However, since the 2010s, amid tensions between Japan and China,
as well as between the US and China, the ASEAN region has gained attention as
an alternative destination. The paper analyzes the impact of changes in Japanese
FDI in the manufacturing sector on trade between Japan and target countries. The
analysis focuses on FDI in all 12 sectors of manufacturing in the five major
ASEAN countries from 2007 to 2019 and estimates using gravity equations. Given
the importance of distance variables in gravity equations, a random effects model is
used for estimation. The results indicate that Japanese FDI in the transportation
equipment, electronic equipment, and chemical and pharmaceutical industries had a
positive correlation with trade with ASEAN5 countries, but no significant results
were found in other sectors. Moreover, in transportation equipment and chemical
and pharmaceutical industries, the import effect was greater than the export effect.
With the Japanese government providing subsidies to manufacturing companies
relocating production hubs to ASEAN from 2020 onwards, an increase in trade
volume between these countries and Japan is expected in the future.
Toward care-full plural agroecologies: Lessons from the U.S. Agroecology Summit 2023
Authors: Horner Catherine , Crespo Triveño Karen , Fochesatto Ana , Roman-Alcalá Antonio , Perfecto Ivette
Published: May 2024

First paragraphs: In May 2023, approximately 100 people gathered in Kansas City, Missouri, for a national conven­ing on scaling agroecology in what is now known as the United States. The gathering (referred to throughout this special issue as the Agroecology Summit or simply the Summit) was convened by people working at research institutions throughout the U.S. The organizing committee aimed to iden­tify how research can support the growers, organi­zations, and communities enacting agroecology in the U.S. Initially funded by a US$50,000 grant from the U.S. Department of Agriculture (USDA), the committee also hoped to create a “roadmap” for agroecological research in the U.S. While a co-created research agenda for agro­ecology is arguably an important long-term goal, what unfolded at the Summit indicates that pursu­ing this goal was premature—putting the research cart before the agroecology horse, so to speak. Many summit participants from civil society and social movement spaces pushed against the idea of a roadmap. Some pushed against the idea of work­ing collectively on a goal that was not collectively identified or co-designed; others, against the idea of engaging in collective work without first estab­lishing trust, especially where deep reparative work between and among communities and institutions is still needed. Bringing together people who span diverse identities, positionalities, and ways of knowing is both an epistemologically and ethically complex endeavor. Given the diversity of histori­cal, cultural, and practical orientations to agroecol­ogy, it is unsurprising that the Summit revealed tensions. Two editors on this special issue (Roman-Alcalá and Horner) were on the summit organizing committee. Roman-Alcalá and Horner shared that it was not always comfortable for Summit organiz­ers to receive some of the critiques voiced before the summit (as shared by Wills, Tovar-Aguilar, and Naylor in this issue), at the summit, and further articulated in this special issue. However, the necessity of ongoing dialogue—of engaging in gen­erative discussions across points of difference—was and is evident (Roman-Alcalá, 2022). Although the Summit did not ultimately yield a research agenda or roadmap, it was not an unfruitful event. Participants did not coalesce around a singular goal. Instead, they gave voice to the many goals, needs, and visions driving agroecology in the U.S. The commentaries in this special issue highlight some of the research, policy, organizing, and repar­ative priorities that emerged during and after the Summit. . . .
BORSA İSTANBUL’DA FAMA-FRENCH ÜÇ FAKTÖR MODELİ’NİN GEÇERLİLİĞİ
Authors: Uçaktürk Mahmut , Polat Müslüm
Published: May 2024

Bu çalışmanın temel amacı Fama-French Üç Faktörlü Modeli’n BIST İmalat sektöründe geçerliliğini sınamaktır. BIST imalat sektörüne kayıtlı olan 143 firmanın 2011 – 2021 dönemine ait aylık verileri kullanarak çalışma gerçekleştirilmiştir. Çalışmanın içeriğinde Fama-French’ in (1993) yapmış oldukları çalışmalarındaki orijinal veri hazırlama şekline uygun olarak her yıl büyüklük ve değer bazında oluşturulan portföylerin artık getirileri hesaplanarak kullanılmıştır. Yapılan analizler sonucunda Pazar portföyündeki % 1’lik bir artışın hisse senedi getirilerini %1.625 oranında arttırdığı saptanmıştır. Firma büyüklüğü ve Defter Değeri/Piyasa Değerinin ise katsayıları pozitif yönlü olmasına rağmen istatistiksel açıdan anlamlı olmadığı belirlenmiştir. Dolayısıyla Fama-French Üç Faktör Modeli’nin hisse senedi getirilerini kısmen açıklamakla birlikte Borsa İstanbul’da geçerli olmadığı tespit edilmiştir.