bluuebunny/crossref_metadata_2025 huggingface dataset:
Streamflow simulation using the event-based SCS-MS/LR model in the Hitiaa catchment, French Polynesia
Authors: Tanguy Garance , Bouvier Christophe , Sichoix Lydie
Published: April 2024

Abstract. The volcanic tropical Island of Tahiti is prone to heavy rainfalls and flash floods which regularly generate severe damages. Hydrological response on the island is highly variable from one catchment to the other, in terms of runoff production as well as peak flow amplitude. Infrastructures designers there require an operational method able to calculate the design flood metrics on any Tahitian catchment, taking into account the variability of their response. This study applies a parsimonious distributed event-based conceptual model to the observed rainfall-runoff events of 9 small catchments (<6 km2). A modified version of the Mishra and Singh Soil Conservation Service (SCS-MS) runoff model, associated with the Lag-and-Route (LR) model was applied to series of 9 to 176 rainfall-runoff events for each catchment that occurred between 2004 and 2021. Two dominant parameters are to be considered for the SCS-MS model: the size of the soil reservoir (Si) and the initial water content (M) in this soil reservoir. SCS-MS was found to perform better than SCS-CN and to fit better the asymptotic behaviour of the rainfall-runoff relationship. Si could be fixed to 2500 mm for all catchments except Nymphea where Si had to be lowered to 80 mm, because of the high density of urbanization over this catchment. M parameter was set variable from one event to the other as the initial condition of the model. The Nash criterion was calculated for each event and their median value ranged from 0.39 to 0.79 across the catchments, proving the flexibility of the model. A clear relationship could be fitted between the median M and Antecedent Precipitation Index (API), both calculated for each catchment. Further testing of this model on similar tropical volcanic context should be undertaken to verify its flexibility and to consolidate the calibration of its parameters.
Using of hydrological model and geospatial tool to assess climate change impact on the hydropower potential of the White Bandama watershed in Côte d'Ivoire (West Africa)
Authors: Kouadio Koffi Claude Alain , Silué Siélé , Amoussou Ernest , Kouassi Kouakou Lazare , Diedhiou Arona , Coulibaly Talnan Jean Honoré , Obahoundjé Salomon , Didi Sacré Regis , Coulibaly Houebagnon Saint Jean
Published: April 2024

Abstract. This study was carried out in the White Bandama watershed (WBW) in Côte d'Ivoire (West Africa). The objective is to assess the impacts of future climate change (CC) on the hydropower potential (HPP) of the WBW. The methodology is based on coupling the SWAT (Soil and Water Assessment Tool) hydrological model with the Geographic Information System (GIS) QGIS to assess HPP on streams and evaluate the impacts of future CC on HPP of the watershed. Historical and climate projection data (precipitation, minimum and maximum temperature) for a set of three Regional Climate Models (RCM) from CORDEX-AFRICA (CCCma-CanRCM4, CCLM4-8-17 and REMO 2009) under RCP 4.5 were used. The biases of the ensemble mean were corrected by the Delta-change method. The relative change of streamflow discharge and HPP was assessed as the relative difference between the projection periods (2041–2070 and 2071–2100) and the reference period (1976–2005). The results showed a total of 22 future hydropower potential sites in the watershed. These sites were identified, geolocated and classified according to their potential capacity of generation in 82 % as small (1–25 MW potential capacity), 9 % as medium (25–100 MW potential capacity) and 9 % as large (more than 100 MW potential capacity) hydropower. The climate models' ensemble projected an upward trend for both the annual mean discharge of rivers and HPP of the WBW according to RCP 4.5 for the periods 2041–2070 and 2071–2100. On the annual cycle, the months of August and September will record the highest monthly mean flows between 150 and 200 m3 s−1 while the months from November to April will record low monthly mean flows in the WBW.
A millennium of arable land use – the long-term impact of tillage and water erosion on landscape-scale carbon dynamics
Authors: Öttl Lena Katharina , Wilken Florian , Juřicová Anna , Batista Pedro V. G. , Fiener Peter
Published: April 2024

Abstract. In the last decades, soils and their agricultural management have received great scientific and political attention due to their potential to act as a sink of atmospheric carbon dioxide (CO2). Agricultural management has strong potential to accelerate soil redistribution, and, therefore, it is questioned if soil redistribution processes affect this potential CO2 sink function. Most studies analysing the effect of soil redistribution upon soil organic carbon (SOC) dynamics focus on water erosion and analyse only relatively small catchments and relatively short time spans of several years to decades. The aim of this study is to widen this perspective by including tillage erosion as another important driver of soil redistribution and by performing a model-based analysis in a 200 km2 sized arable region of northeastern Germany for the period since the conversion from forest to arable land (approx. 1000 years ago). The spatially explicit soil redistribution and carbon (C) turnover model SPEROS-C was applied to simulate lateral soil and SOC redistribution and SOC turnover. The model parameterisation uncertainty was estimated by simulating different realisations of the development of agricultural management over the past millennium. The results indicate that, in young moraine areas, which are relatively dry but have been intensively used for agriculture for centuries, SOC patterns and dynamics are substantially affected by tillage-induced soil redistribution processes. To understand the landscape-scale effect of these redistribution processes on SOC dynamics, it is essential to account for long-term changes following land conversion as typical soil-erosion-induced processes, e.g. dynamic replacement, only take place after former forest soils reach a new equilibrium following conversion. Overall, it was estimated that, after 1000 years of arable land use, SOC redistribution by tillage and water results in a current-day landscape-scale C sink of up to 0.66 ‰ yr−1 of the current SOC stocks.
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
Authors: Durand Charlotte , Finn Tobias Sebastian , Farchi Alban , Bocquet Marc , Boutin Guillaume , Ólason Einar
Published: April 2024

Abstract. A novel generation of sea-ice models with elasto-brittle rheologies, such as neXtSIM, can represent sea-ice processes with an unprecedented accuracy at the mesoscale for resolutions of around 10 km. As these models are computationally expensive, we introduce supervised deep learning techniques for surrogate modeling of the sea-ice thickness from neXtSIM simulations. We adapt a convolutional U-Net architecture to an Arctic-wide setup by taking the land–sea mask with partial convolutions into account. Trained to emulate the sea-ice thickness at a lead time of 12 h, the neural network can be iteratively applied to predictions for up to 1 year. The improvements of the surrogate model over a persistence forecast persist from 12 h to roughly 1 year, with improvements of up to 50 % in the forecast error. Moreover, the predictability gain for the sea-ice thickness measured against the daily climatology extends to over 6 months. By using atmospheric forcings as additional input, the surrogate model can represent advective and thermodynamical processes which influence the sea-ice thickness and the growth and melting therein. While iterating, the surrogate model experiences diffusive processes which result in a loss of fine-scale structures. However, this smoothing increases the coherence of large-scale features and thereby the stability of the model. Therefore, based on these results, we see huge potential for surrogate modeling of state-of-the-art sea-ice models with neural networks.
Un plan protocolizado de rehabilitación domiciliaria tuvo mejores resultados que el tratamiento habitual en pacientes operados de prótesis total de rodilla: cohorte prospectiva
Authors: Battellini Yulian , Mattar Cintia , Ramírez Fernando , Banchero Santiago , Chinni Florencia , Guisoli Constanza , Lemarchand Camila , Verzeniassi Belén , Coria Paula , Páez Pablo , Palmaz Laureano , Peralta Ángeles , Spinelli María , Midley Alejandro , Terrasa Sergio
Published: April 2024

Objetivo: comparar los resultados funcionales y de calidad de vida, y algunos indicadores de calidad y satisfacción, entre dos estrategias de cuidados posoperatorios de prótesis total de rodilla: 1) Cuidados protocolizados brindados por la Unidad de Rehabilitación del Hospital Italiano (URED) para pacientes que residen en CABA; 2) Cuidados habituales brindados por el sistema tercerizado de rehabilitación kinésica.

Materiales y métodos: cohorte prospectiva de pacientes que fueron sometidos a una cirugía de reemplazo articular de la rodilla en el Hospital Italiano. Fueron evaluados mediante cuestionarios de funcionalidad y calidad de vida percibida, y goniometría, a los 45 días, por kinesiólogos entrenados. Resultados: se incluyeron 81 pacientes en el grupo de cuidados protocolizados y 28 en el de cuidados habituales. Se observaron diferencias estadísticamente significativas en todas las variables evaluadas y destacamos la relevancia clínica de que solamente el 2,43% de los pacientes atendidos en la URED continuaban usando andador a los 45 días frente al 35,71% de los que habían sido atendidos con los cuidados habituales (p = 0,004), así como la menor proporción de pacientes con déficit de flexión (2,47% vs. 46%, respectivamente; p < 0,001) y de extensión (18,52 vs. 75%; p < 0,001) en el mismo lapso, requisitos que son importantes para lograr una marcha funcional.

Conclusión: un programa de rehabilitación domiciliaria protocolizada y supervisada por kinesiólogos entrenados mostró ser eficaz para una progresión más rápida hacia una marcha independiente con un menor riesgo de déficit de flexión o de extensión a los 45 días.
Medicalización de la vida y daño poblacional: revision bibliográfica no sistematizada
Authors: Granero Mariano , Velazquez Alberto
Published: April 2024

La práctica de la medicina se encuentra atravesando una crisis, en la cual muchas de las prácticas médicas que se realizan son de poco valor y con frecuencia generan daño a las personas. Se presenta una revisión bibliográfica no sistematizada en la que se analizan en conjunto los diversos factores que contribuyen al desarrollo de excesos médicos y a los daños que estos generan. Consideramos que su conocimiento puede contribuir a mejorar la calidad de los cuidados que se ofrecen a nuestros pacientes.
Encuesta de infección por coronavirus tipo 2 del síndrome respiratorio agudo grave (SARS-CoV-2), a nivel comunitario en habitantes de un barrio vulnerable urbano de la ciudad de Buenos Aires: un ejemplo de muestreo probabilístico
Authors: Pagotto Vanina , Soriano Mercedes , Giunta Diego H. , Figar Silvana
Published: April 2024

Entre el 1 y el 26 de junio se llevó a cabo el estudio de investigación “Encuesta de infección por coronavirus tipo 2 del síndrome respiratorio agudo grave (SARS-CoV-2), nivel comunitario en habitantes de un barrio vulnerable urbano de la ciudad de Buenos Aires”, que determinó que un 54,3% de los habitantes del barrio presentaban anticuerpos inmunoglobulina tipo G para SARS-CoV-2. El objetivo de este artículo es proporcionar un ejemplo de un muestreo probabilístico que fue utilizado para estimar la prevalencia de seropositividad en este estudio.
APPLICABILITY OF SIMULATED PRECIPITATION FOR RAINFALL FLOOD FORECASTING IN THE AMUR BASIN
Authors:   Far Eastern Regional Hydrometeorological Research Institute, VERBITSKAYA E.M. , AGEEVA S.V. ,   Eastern Administration for Hydrometeorology and Environmental Monitoring, GONCHUKOV L.V. ,   Far Eastern Regional Hydrometeorological Research Institute, ROMANSKII S.O. ,   Far Eastern Regional Hydrometeorological Research Institute
Published: April 2024

The studies of the applicability of simulated precipitation in hydrological calculations and forecasts are presented on the example of the Amur basin rivers. It is shown that the use of simulated precipitation has a positive effect on forecasting rainfall floods in case of a sparse observational network. There is an especially noticeable lack of hydrological and precipitation data on the catchments of the Amur right-bank tributaries located in China (the Songhua River and its tributaries), whose runoff is a significant contributor to the water balance of the Middle and Lower Amur. It is revealed that the catchment-averaged fluctuations in simulated 5-day total precipitation above and below a certain threshold are linked to the temporal variations in water levels at the outlets of the Amur partial catchments.
HEADFIRST: Exploring two methods of concussion assessment in adolescent rugby union and adult rugby league players
Authors:   , Price Simon
Published: April 2024

This thesis compares the Composite Balance Score (CBS) Concussion test to the Sport Concussion Assessment Tool – 5th edition (SCAT-5) to assess rugby players post-match incidents and establish baseline assessments. The research explores differences between adolescent rugby union and adult rugby league players, comparing baseline findings and concussion rates with prior studies. Hypotheses predicted CBS's sensitivity in identifying more match-day concussions, and its protocol's effectiveness in return-to-play decisions, due to its objective assessment. Results could offer insights into better concussion management in rugby.
Left Ventricular Function after Acute Ischemia-Reperfusion Injury in Cardiac Decentralized Dogs Subject to Ischemic Conditioning
Authors: Jr Kingma JG , D Simard , JR Rouleau
Published: April 2024

Objective: Ischemic conditioning (IC) mediated protection against ischemic injury continues independent of extrinsic cardiac nerve status; however, controversy persists regarding its ability to limit ischemia-mediated LV contractile dysfunction. Here, we investigate the acute cardiac consequences of loss of sympathetic and parasympathetic inputs to the local cardiac neuronal hierarchy on post-ischemic LV function. Additionally, we examined whether IC could affect potential recovery of LV function. Methods: Anesthetized, open-chest dogs were randomly distributed to surgical nerve ablation or ganglionic blockade (hexamethonium bromide) groups; each group comprised dogs subject to IC. All dogs were exposed to 60-min acute coronary occlusion (CO) followed by 180-min reperfusion (REP). IC consisted of 4 cycles of 5-min CO and 5-min REP of the left main coronary artery. LVP-V relations were constructed by inferior vena cava occlusion at different times before and during CO-REP. The load insensitive conductance catheter method was used to evaluate LV contractility, diastolic function and ventriculoarterial arterial coupling. Results: We found robust protection against necrosis in all IC treated dogs that was not abrogated by nerve ablation or ganglionic blockade; however, LV contractile functional status did not improve. Parameters of LV function were not markedly different between groups; however, statistical significance was observed during CO-REP between nIC and IC groups. These changes were similar regardless of the method used for cardiac decentralization. Conclusions: Diminished LV contractile function produced by CO-REP did not recover with IC pre-treatment; cardiac decentralization (surgical or pharmacologic) did not markedly affect outcomes.
Prediction Model for Pregnancy Success in IVF Program in the Poor Prognosis Group
Authors: Imanuel Sirait Batara , I.V.W Udjung Gorga , Dwika Sandriasasti Dzakiya
Published: April 2024

Introduction: An increase in the incidence of Urinary tract infections due to Candida species has been observed. The higher rate of Candiduria due to Non albicans Candida is now being reported than due to Candida albicans.The emergence of drug resistance in Candida species has complicated the patient management.
Aim: to observe the prevalence of Candida species in UTIs and their antifungal susceptibility pattern in a tertiary care hospital.
Materials and Methods: An observational study was conducted fora period of three months in NIMS, Jaipur. Symptomatic patients belonging to all age groups were included in the study. Catheterized or clean catch midstream urine were centrifuged and the sediment was plated on Sabouraud’s Dextrose Agar slants with and without Chloramphenicol. A wet mount preparation was also made and looked for the presence of pus cells, yeast cells, pseudohyphae, etc. Yeast were identified by using germ tube, Chromogenic agar, chlamydospore formation and carbohydrate assimilation tests. Antifungalsusceptibility testing was performed on Muller Hinton Methylene Blue Agar.
Result: The Candida species were isolated in only 24 (4.8%) samples. Only 8 cases yielded Candida albicans(33.33%). The highest cases were found to be of Candida tropicalis (n=14) while remaining two cases has growth of Candida krusai (n=1) and Candida glabrata (n=1).

Keywords: Infertility, prediction model, In Vitro Fertilization, Logistic Regression, Endometrial Thickness, Poor Prognosis, Clinical Pregnancy
Nursing Interventions for a 35-Year-Old Man with Diffuse Axon Injury Caused by Fall: A Case Report
Authors: Mulyani Anisa , . Ahyana , Cyntia Kasih Laras
Published: April 2024

Traumatic brain injuries are significant cause of disability and mortality worldwide, with Aceh having the highest incidence of head injuries at 14 percent, ranking 12th in Indonesia. This case report focuses on providing nursing care to patients with traumatic brain injuries at Dr Zainoel Abidin General Hospital in Banda Aceh. The patients had decreased consciousness, increased blood pressure, irregular breathing, pain due to increased intracranial pressure, decreased muscle strength, and grade II posterior ulcers. Common nursing issues included decreased intracranial adaptive capacity, pain, impaired physical mobility, impaired skin integrity, and self-care impairments. Interventions included monitoring vital signs, observing elevated intracranial pressure, elevating the head by 30 degrees, murottal therapy, muscle strength training, repositioning, wound care, and skin care. The nursing evaluation showed a significant increase in consciousness, reduced pain severity, improved muscle strength, and reduced skin layer damage. Nurses should follow recommendations for positioning patients with inadequate intracranial adaptive capacity and encouraging range of motion exercises.

Keywords: Nursing care, diffuse axonal injury, severe head trauma, Traumatic brain injury
Sensibilización ante procesos de modernización del riego agrícola: Fuentes de contaminación y huella hídrica para mitigar el cambio climático
Authors: Flores Velázquez Jorge
Published: April 2024

La política del riego tiene entre sus objetivos, el desarrollo para el sector agrícola con propuestas tecnológicas en la frontera del conocimiento. El uso sustentable de los recursos ha convertido en una evolución sostenida de técnicas y desarrollos tecnológicos, por ello es de interés la adaptación de tecnologías que contribuya al uso “eficiente” y racionado del agua para uso agrícola. La actualidad hídrica obliga a hacer frente a la creciente demanda de recursos por sectores no agrícolas, así como la alta variabilidad en su disponibilidad potenciado por efecto del cambio y variabilidad climática. El riego es uno de los insumos que definen el rendimiento de los cultivos, en consecuencia, se requiere analizar su proceso para minimizar los riesgos de fugas y desperdicios, para lo cual es pertinente involucrar usuarios, módulos, distritos de riego y la Conagua como institución que administra el volumen de agua concesionado. Con la implantación de sistemas eficientes de riego se contribuye con el proceso de producción, pero además con el uso eficiente de los recursos como el nexo agua-energía. Un eficiente sistema de riego, su monitoreo y control permite ser preciso en el manejo de los volúmenes de agua requerida por las plantas, así como el momento oportuno de su aplicación.
Desarrollo económico, recaudación y doble tributación en vista del objetivo ODS 8
Authors: Corona Nakamura Luis Antonio , Mariscal Gutiérrez Brenda
Published: April 2024

Este trabajo pretende dar soluciones para alcanzar las metas planteadas en el Objetivo de Desarrollo Sostenible 8, en específico el 8.2 y 8.3, por lo que ve al desarrollo económico y el trabajo decente. Se analizan los índices proporcionados por instituciones oficiales en donde se vislumbran los niveles de pobreza y aseguramiento ante el Instituto Mexicano del Seguro Social (IMSS), así como inversión de las empresas en tecnología e innovación, lo cual es un parteaguas para evaluar la mejora de las condiciones económicas de vida de la población en México. Se analizan las cifras de ingresos recaudados por el impuesto sobre la renta (ISR), siendo el impuesto que más ingresos genera a la Federación, el cual percibe un aumento paulatino y progresivo desde el año 2014 hasta el año 2020, cuestionando el actuar del Estado a través de su planeación de gastos y la redistribución de esas rentas, para permitir a la población generar condiciones de vida y a su vez alcanzar las metas establecidas en los ODS 8.2 y 8.3. Se realiza el estudio desde un enfoque jurídico-doctrinal, toda vez que se estudia el marco jurídico vigente en México y la doctrina, así como con un enfoque cuantitativo a través del análisis de datos obtenidos de fuentes secundarias, tales como estadísticas del INEGI; de Coneval, SAT e IMSS. Utilizando el método hipotético-deductivo, así como el método interpretativo, el método de análisis de datos y el método constructivo, lo anterior a la luz de las teorías de los derechos humanos.
Utilization of big data and cloud computing platforms for the smooth processing of financial ac-counting system data and its implications for the success of village development
Authors: Fauzi Fauzi , Effendi Rustam , Basrowi Basrowi
Published: April 2024

This research aims to analyze the direct and indirect influence of the use of Big Data and Cloud Computing Platforms on the smooth processing of financial accounting system data and its implications for the success of village development. This research used quantitative methods, using Saturation sampling techniques, and obtained a sample of 131 respondents who were village financial information system operators, consisting of 131 villages in Pringsewu Regency, Lampung Province, Indonesia. The data collected from the surveys was then analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The research and data analysis demonstrate that Cloud Computing Platforms significantly enhance the efficiency of processing financial accounting system data. Additionally, Cloud Computing Platforms have a direct and positive influence on the success of village development. Moreover, the efficient handling of financial accounting system data directly and significantly impacts the progress of village development. Furthermore, the application of Big Data has a direct and substantial impact on the effective processing of data in financial accounting systems, as well as on the achievement of success in village development. Ultimately, the efficient data processing of the Financial Accounting System serves as a partial intermediary between the utilization of Big Data and Cloud Computing Platforms, and the achievement of village development in Pringsewu Regency, Lampung Province, Indonesia. Because the independent variable is able to significantly influence both directly and indirectly the dependent variable.
Multi-objective of wind-driven optimization as feature selection and clustering to enhance text clustering
Authors: Duaimi Mehdi G. , Bsoul Qusay , AL-Gburi Abbas F. J.
Published: April 2024

Text Clustering consists of grouping objects of similar categories. The initial centroids influence operation of the system with the potential to become trapped in local optima. The second issue pertains to the impact of a huge number of features on the determination of optimal initial centroids. The problem of dimensionality may be reduced by feature selection. Therefore, Wind Driven Optimization (WDO) was employed as Feature Selection to reduce the unimportant words from the text. In addition, the current study has integrated a novel clustering optimization technique called the WDO (Wasp Swarm Optimization) to effectively determine the most suitable initial centroids. The result showed the new meta-heuristic which is WDO was employed as the multi-objective first time as unsupervised Feature Selection (WDOFS) and the second time as a Clustering algorithm (WDOC). For example, the WDOC outperformed Harmony Search and Particle Swarm in terms of F-measurement by 93.3%; in contrast, text clustering's performance improves 0.9% because of using suggested clustering on the proposed feature selection. With WDOFS more than 50 percent of features have been removed from the other examination of features. The best result got the multi-objectives with F-measurement 98.3%.
Cyberloafing activities and social media addiction among netizens: A predictive approach
Authors: Chan Tak Jie , Chew Jun Ying , Shariffadeen Tengku Siti Aisha Tengku Mohd Azzman , Liew Tze Wei , Foo Sheh Chin , Tian Yang
Published: April 2024

Social media usage has increased tremendously in recent years. However, when users cannot control their social media usage, it might have some negative impacts on personal and social life, which lead to the cyberloafing phenomenon. This study aims to examine the influence of cyberloafing activities (sharing, shopping, gaming, accessing online content, real-time updating) and social media addiction among netizens. This study utilized Uses and Gratification Theory (U&G) as a theoretical basis to explain the framework. The quantitative method was implemented in this study. An online survey questionnaire was used to collect data and 318 valid respondents were generated. Partial Least Square Structural Equation Modelling via Smart-PLS was used to analyze the data. The study showed that two cyberloafing activities, namely real-time updating and sharing significantly impact social media addiction. However, the other cyberloafing activities (accessing online content, gaming, shopping) do not contribute to social media addiction. This study may help students and employees to be cognizant of the symptoms of cyberloafing and social media addiction. In addition, it also helps government agencies such as Malaysian Communication and Multimedia Commission (MCMC) to produce strategies that can address addiction among netizens and youths. Conclusion, implications, and future research directions were discussed.
Examining the usability of mobile applications among undergraduate students using SUS and data mining techniques
Authors: Afif Mohammed
Published: April 2024

Mobile Applications offer a new style to service sectors, for instance, in higher education, mobile applications are utilized to provide access to academic resources and academic services. Despite the wealth of mobile applications, they encounter various challenges that have attracted the interest of academia and software developers. The usability issues of mobile applications may cause performance degradation, resulting in the company's loss in terms of cost. This study aims to investigate the usability of the Prince Sattam bin Abdulaziz University (PSAU) mobile application by adopting data mining as a descriptive and predictive process. The first step was gathering data of the usability of the PSAU mobile application using the system usability scale. Afterwards, data was preprocessed into a suitable format to apply data mining methods. Specifically, the explanatory model has been employed to describe and investigate insights related to the usability factors and features of the PSAU mobile application. Furthermore, this study adopted the Four Clustering methods to segment the usability levels of the PSAU mobile application into homogenous groups based on user behavior. Additionally, the predictive model was used to build models for predicting the usability level and Grade and five classification algorithms were employed to predict the usability level and Grade. Most algorithms have given positive results in all performance indicators, where the accuracy rate achieved is 98% to 95% for most methods. The results revealed that the PSAU mobile application has an acceptable usability level, and the data mining methods helped to discover hidden patterns. Furthermore, the findings will help the developers and policymakers understand users' and stakeholders' behavior to find the most common usability problems for each group, and customize the PSAU mobile application.
The participation of social media effect on the advertising performance: Moderating participation of buyer satisfaction
Authors: Elrefae Ghaleb , Nuseir Mohammed
Published: April 2024

Social media has recently drawn the attention of regulators and current research because of its importance in meeting client demand and improving an organization's marketing success. Because of this, the current study investigates how social media strategy, analysts, and active involvement affect social media performance and how social platforms' results affect advertising outcomes for the UAE's electronic industry. This research also examines how customer satisfaction impacts the connections between marketing performance and social media. It also explores how social media performance mediates the intersection of social media tactics, experts, consistent presence on social media, and advertising performance. Data were collected via questionnaires, and data analysis was done using smart-PLS. The findings showed a favorable correlation between social media performance and social media strategies and active participation, as well as a good correlation between social media performance and marketing effectiveness. Additionally, the findings indicated that consumer satisfaction significantly regulates the link between social media performance and advertising effectiveness. They also highlight that social platform efforts positively mediate the link between social media tactics, analysts, active social media use, and performance. This study aided the regulatory agencies in their decision-making and directed them to sharpen their attention on social media to improve marketing efficiency.
The role of random forest in internal audit to enhance financial reporting accuracy
Authors: Alotaibi Eid M. , Khallaf Ashraf , Gleason Kimberley
Published: April 2024

Internal audit is a bulwark ensuring the integrity of financial statements, a linchpin for stakeholder trust and informed corporate decision-making. With the proliferation of complex financial transactions, audit teams face mounting challenges in deciphering voluminous transactional data to safeguard financial reporting quality. Machine learning has the potential to identify signifiers of financial reporting quality. Within the Design Science Methodology framework, we apply the Random Forest Classifier technique to metrics such as the error rate to enhance financial reporting. We find that the Random Forest Classifier identifies that certain parameters are critical to error detection, which enhance account receivable accuracy, lower receivable account control risk. This research advances the argument that technologically-enhanced internal audit procedures can play a pivotal role in ensuring that financial reporting mirrors the economic reality of the company.
The role of social media influencers in shaping destination image and intention to visit Jordan: The moderating impact of social media usage intensity
Authors: Omeish Fandi , Sharabati Abdel-Aziz Ahmad , Abuhashesh Mohammd , Al-Haddad Shafig , Nasereddin Ahmad Yacoub , Alghizzawi Mahmoud , Badran Omar N.
Published: April 2024

Social media influencers have become important motivators in shaping tourist attitudes and behaviors. This study analyzed how exposure to influencer content impacts key outcomes for the destination Jordan. A survey of tourists who visited Jordan in the past 3 years measured their perceptions of influencer credibility, content quality, awareness/interest, trust/engagement, destination image, general tourism behavior, and intentions to revisit. Results of SEM analysis found significant positive effects of influencer marketing on both destination image and visit intentions. Awareness/interest and trust/engagement were most impactful, highlighting influencers' role in sparking early motivation. Content quality additionally predicted visit intentions by informing decisions. Perceived credibility made recommendations more persuasive. Furthermore, usage intensity positively moderated the mediated relationships, amplifying effects among heavy social media users. Findings provide theoretical validation of how influencers act as digital opinion leaders. By enhancing destination image through compelling portrayals, influencers shape audience travel interests and behaviors. Managerial implications suggest destinations should invest in influencer campaigns for reach and inspiration while ensuring content quality. Performance tracking informs optimal platform and demographic targeting. Overall, influencer marketing demonstrated significant persuasive appeal for potential tourists. This quantitative study pioneer’s measurement of influencer marketing's tangible impacts on key tourist metrics. The results empirically substantiate the ability of strategically leverage influencers to motivate visitation and guide decision-making. As practitioners refine partnerships for audience growth and branding, academic research must also advance a nuanced understanding of this emerging phenomenon at the confluence of social media and tourism consumer behavior.
Holistic analysis of social media user behavior in agricultural context: Bibliometric analysis and systematic review
Authors: Destari Fajar , Handriana Tanti , Afandi Moch. Farid , Komariyah Siti
Published: April 2024

This research aims to understand how farmers, especially those with limited technological knowledge, utilize social media in their agricultural activities. The study also aims to identify the impact and responses of farmers to the use of social media in their agricultural practices. Additionally, the research discusses a conceptual framework that integrates internal and external factors in understanding social media user behavior. The research methodology employed is a systematic literature review using scientometric analysis. Bibliometric approaches, machine learning, and social network analysis are utilized to achieve research objectives. Data were obtained from the Scopus database, consisting of high-quality articles published between 2011 and 2023.The findings indicate that social media plays a significant role in influencing farmers' responses to the information they receive and their levels of trust, subsequently affecting their willingness to adopt smart agricultural technologies. Furthermore, the research highlights internal and external factors influencing social media user behavior in the agricultural context. The novelty of this research lies in its holistic approach that integrates cognitive and behavioral factors in understanding social media user behavior. Additionally, the study complements previous literature by addressing antecedents, mechanisms, and consequences of social media use by farmers, as well as identifying barriers they face in leveraging social media.
Investigating the effects of e-learning, digital transformation, and digital innovation on school performance in the digital era
Authors: Masduki Lusi Rachmiazasi , Pakaja Jemmy A. , Wibowo Mukti , Arifin Yusuf , Khairunnisa Delta , Caska Caska , Tuasikal Muhammad Abduh , Mustari Mohamad
Published: April 2024

In the digital era that continues to develop, information technology has brought significant changes to various aspects of human life. One of the clearest impacts is in the field of education. In this era, learning is no longer limited to physical classrooms and textbooks, instead, electronic learning or e-learning has become a popular alternative for accessing knowledge and learning online. This research aims to analyze the relationship between e-learning variables and school performance, the relationship between digital transformation variables and school performance and the relationship between digital innovation and school performance. The study uses a quantitative method approach and data analysis using the Partial Least Square -Structural Equation Modeling (PLS-SEM) approach. Research data was obtained by distributing an online questionnaire form via social media platforms. The questionnaire was designed to contain statement items on a Likert scale from 1 to 7. The respondents for this research were 467 school principals in Indonesia who were determined using the sample determination method, namely simple random sampling. The stages of research data analysis are validity testing, reliability testing and hypothesis testing or significance testing. The independent variables in this research are e-learning, digital transformation and digital innovation, the dependent variable in this research is school performance. The results indicate that e-learning, digital transformation, and innovation had positive and significant effects on school performance.
Individual, technological, organizational, and environmental factors impact of the internet of things on e-learning adoption in higher education institutions in Jordan
Authors: Al Wahshat Hassan , Khalifeh Amin , Taha Adnan , Wahsheh Firas Rashed , Amayreh Khalid Thaher , Matalka Mohammed Al
Published: April 2024

The world of the Internet of Things (IoT), even though it is continuously morphing as a fresh paradigm at the intersection of technology and education, is still struggling with several difficulties that prevent its absorption into the e-learning platforms of higher education institutions (HEIs). The breadth of Internet of Things implementation in developing countries, particularly Jordan, Malaysia, Iran, Saudi Arabia, Iraq, and Bangladesh, remains behind, even though industrialized nations have made significant advancements in their utilization of IoT, with the United Kingdom, the United States of America, China, and Japan acting as prominent examples. In the realm of research that focuses on the progression of the IOT integration into the e-learning systems of economically challenged countries, there is a substantial disparity. In particular, the focus of this research is on Jordan to shed light on the primary variables that are either facilitating or hindering the adoption of the IoT within the e-learning sector of Jordan's HEIs. A comprehensive analysis of previous research has been undertaken as a first stage in this investigation. The goal of this analysis is to identify important factors that are involved in the process of IOT adoption. Following that, we used an inferential technique, collecting data from 306 respondents who were enrolled in Jordanian higher education institutions. During our investigation, we discovered that the rate of the IOT integration was significantly influenced by factors such as accessibility, usability, technical assistance, and individual capabilities. In addition, our findings suggest that factors such as attitude, behavior, financial preparedness, dependability, and training have a substantial impact on the adoption of the IOT. On the other hand, the study seemed to indicate that characteristics such as class capacity, awareness, system resources, and course design had a minor influence on the adoption rates inside HEIs. In conclusion, this study provides tangible suggestions to strengthen the integration of the IoT inside Jordanian HEIs. These recommendations provide significant insights that can be used by policy architects, government entities, and higher education institutions to overcome the challenges that relate to the deployment of IoT in the higher learning sector.
Antecedents of user attitude toward e-government services use: Empirical study on department of lands and survey
Authors: Masadeh Raed , Almajali Dmaithan , AL-Sous Nida , Almajali Haya , Thurasamy Ramayah
Published: April 2024

This qualitative study examined the impact of social media characteristics on the attitude of users toward the use of e-services by the Department of Lands and Survey. The study population comprised users of Department of Lands and Survey e-service, while the study sample comprised 407 users. Data from respondents were analyzed using SEM run using Amos (23). Results showed reliability, security, website design, ease of use, awareness, and digital divide as direct significant antecedents of user attitude toward the use of e-services from the Department of Lands and Survey. Also, all antecedents showed direct significant relationships with user attitude. Results showed a direct significant relationship between user attitude and the use of e-services from the Department of Lands and Survey. Through mediation of user attitude, five indirect significant relationships between the antecedents and the use of e-services from the Department of Lands and Survey were found. The inclusion of new antecedents such as privacy and site content may enhance the understanding of how users use e-services provided by the Department of Lands and Survey.
Notions of β-closure compatible topology with an ideal
Authors: Beulah V. , Theodore Jessie , Premalath D.
Published: April 2024

In this paper, we have defined β-local closure function. Its properties and characterizations are analyzed. The set operator is defined and its properties are discussed. The notions of β-closure compatible topology with an ideal are introduced and investigated. Moreover, dense set and -codense ideal are defined and explored.
Calpain: An Emerging Therapeutic Target
Authors: Prajapati Namrata , Singh Jaideep
Published: April 2024

Calpain was first found in the year 1964 as a calcium associated cysteine protease enzyme. Mostly, it is present in all the eukaryotes and other organism. Despite of being an enzyme calpain is involved in cellular organization rather than proteolytic digestion. For calpain activation, adequate concentration of calcium is required. Rest of the concentration they get from endoplasmic reticulum (ER), calcium influx during oxidative stress etc. In adverse condition calpain utilized all the excess calcium and activates molecular cascade involved in progression of various disease. Pathogenesis of every disease is highly protein specific such as in Alzheimer’s disease CDK5 and MAPK, phosphorylate Tau proteins in the brain. Further, Beclin 1, Bcl 2 and PGC-1α interfere with the mitochondrial function in heart resulting in abnormal functioning. Few studies have been suggesteddeactivation of calpain may ameliorate pathological conditions but still there are certain checkpoints which are still unexplored and need attention. Calpain has role in several pathological conditions but in this comprehensive review, we expect to cover how calpain is involved in the pathogenesis of neurodegenerative disorders, cardiovascular and cancer. This review also explained findings of different researchers on use of calpain inhibitors and impact of knocking down calpain gene in amelioration of pathogenesis. This advanced knowledge of mechanismand findings would be helpful for further development of calpain inhibitors for clinical use.
Biological activities and Chemical moieties as Scaffold for the design of Pharmacological lead compounds for Alzheimer's disease
Authors: Sharma Divya , Singh Akanksha , Gupta Himanshu , Sharma Diksya , Singh Pooja , Singh Arjun
Published: April 2024

Alzheimer's disease (AD) is a major problem in today's societies. More than five million Americans are living with Alzheimer's disease in the United States, with the majority being 65 and older. According to the Alzheimer's Association Report, the number of persons affected by Alzheimer's disease in the United States would rise to fourteen million by 2060.Alzheimer's disease (AD) is a neurodegenerative disorder characterized by impaired synaptic transmission and brain atrophy, as well as the formation of amyloid plaques and neurofibrillary tangles. The condition is usually associated with cognitive, functional, and behavioural changes. Several pathophysiological paths for Alzheimer's disease have been hypothesized, some of which interact and influence one another. Current Alzheimer's disease treatment focuses on using therapeutic drugs to reduce symptoms in Alzheimer's patients. Because of the disease's complex nature, standard single-target therapeutic techniques frequently fail to have the desired impact. As a result, multi-target methods have been developed, with the goal of simultaneously targeting various targets involved in the development of AD. This paper provides an outline of the pathophysiology of Alzheimer's disease and current pharmacological therapy.
Optimization of Drying Process of Lithium Battery Pole Piece Based on Simulation Technology
Authors: Shaohua Cui,
Published: April 2024

After electrode pulping and coating of lithium battery, it is necessary to dry the pole pieces, but there is a contradiction between drying efficiency and drying quality. In the process of rapid drying, the binder components are easy to migrate, which reduces the adhesion of the pole pieces, leading to the increase of internal resistance of the pole pieces and subsequent manufacturing defects. Therefore, this paper puts forward an optimization scheme of pole piece efficient drying process. Firstly, based on the analysis of the transfer process of heat and solvent quality in the drying process, the calculation method of drying curve is put forward, and the optimal design criteria of drying parameters are established. Furthermore, a multiphase flow and heat transfer model of drying process is constructed, and the oven structure and parameters are optimized based on multiphase flow simulation. The experimental results of drying process optimization of positive pole pieces show that the mass production speed of 51 Ah positive pole is increased by 25% after process optimization. The adhesion of the A surface of the pole piece is increased by 6.5%, and the difference between the A and B surfaces is decreased by 91%. The average resistance of the pole piece decreases by 12%, which meets the high requirements for the quality and efficiency of pole piece drying for automotive lithium-ion batteries.
A Comparative Study of virtual Reality Combined with Eye Movement Measurement in the Design Teaching Process
Authors: Hongcai Chen,
Published: April 2024

The integration of virtual reality (VR) and eye-tracking technologies in the design teaching process is introduced in this research. Additionally, the effectiveness of the teaching application is assessed using the ARCS and IMMS evaluation models. The conventional design education method is compared and improved in this article, which benefits not only the effectiveness of individual designs but also the productivity of the entire industry. This multidisciplinary study, which has significant academic and practical value, offers a theoretical and technical foundation for using and evaluating immersive design in various fields.