bluuebunny/crossref_metadata_2025_split huggingface dataset:
استخدام أسلوب التعليم للمعلم الناطق الاصلي بالعربية
Authors: Bashori M. , Syaiful Syaiful 
Published: February 2024

Purpose- Each teacher (lecturer) has a characteristic teaching style in the learning process. This study shows that the teaching style used by native Arabic speaking lecturers is a discussion-dialogue style. This can be aligned with the teaching style classification theory, namely the interactional teaching style.
Design/Methodology/Approach- Researchers used a qualitative type method with a field approach. The aim is to describe directly in the field and then write about how to use the teaching style of native speaker lecturers and to review descriptively some of the student's opinions regarding the use of teaching styles and the impact they have on the process of learning Arabic. Then the data was collected and validated through three general instruments in qualitative research, namely observation, interviews and documentation.
Findings- Apart from native speaker lecturers using a discussion-dialogue teaching style, native speaker lecturers combine teaching styles with other types of teaching styles to support success in the process of learning Arabic. Students are of the opinion that the teaching style of native Arabic speakers is not boring and has an impact on student enthusiasm and discipline in learning with native Arabic speakers.
Research Limitation/ Implications- The limitations of the problem in this research focus on the use of the teaching style of native speaker lecturers at the KH Islamic boarding school Abdul Chalim Mojokerto.
Apoyo de la gestión como impulsor del capital intelectual en Instituciones de Educación Superior (IES)
Authors: Chacón-Henao Juliana , Arias-Pérez José 
Published: February 2024

Objetivo: Analizar el impacto de las cuatro dimensiones del apoyo de la gestión: liderazgo, supervisión, incentivos y compañeros de trabajo del Capital Intelectual (CI) en las Instituciones de Educación Superior (IES), con el proposito de establecer un entorno y garantías propicias para la gestión y consolidación de su inventario de conocimientos. Método: El modelo de investigación se testeó por medio de un cuestionario aplicado a grupos de investigación en Colombia. Se obtuvo 442 respuestas válidas y se utilizó para el analisis la modelación por ecuaciones estructurales. Resultados: Los hallazgos indican que el liderazgo y la supervisión tienen un mayor impacto en el CI, aunque los incentivos y los compañeros de trabajo son notables, pero en menor medida. De acuerdo con estos resultados, se identifica una jerarquía de variables que afectan el CI destacando el liderazgo y la supervisión como las variables de apoyo a la gestión con mayor peso, en las cuales las universidades podrían focalizar mayores esfuerzos y atención. Conclusiones: Este estudio aporta al cuerpo de conocimiento academico sobre los antecedentes e influenciadores de CI presentando un enfoque novedoso al analizar esta variable en los grupos de investigación dentro de las universidades de educación superior.
Revolutionizing 5G Networks: A Synergy of Routing, Clustering, and Energy Optimization for Unprecedented Performance and Extended Lifespan
Authors: Fathima Rubeena Et. al 
Published: February 2024

The concept of revolutionizing 5G (Fifth Generation) networks through a synergy of routing, clustering, and energy optimization is indeed a promising approach to enhancing the performance and lifespan of wireless networks. Exciting changes will occur in the physical, digital, and biological worlds over the next ten years. Although the needs for Beyond 5G (B5G) are not yet fully understood, an effort has been made to stratify 5G progression and B5G. This work highlights the focus on revolutionizing 5G networks through the integration of routing, clustering, and energy optimization techniques. By combining these methodologies, this research work aims to address the complex challenges in 5G networking, such as efficient data routing, resource allocation, and energy consumption. The objective is to achieve both exceptional performance and an extended lifespan for these networks. The proposed work holds promise for significantly enhancing the capabilities of 5G networks, resulting in improved user experiences, optimized resource utilization, and prolonged network lifespan. In order to completely meet the most stringent 5G standards, such as stratification, or deconstruction into existing technologies, will comprise technology scenarios of 5G evolutions. Wireless sensor networks (WSNs), which offer essential data collecting and monitoring capabilities, are made up entirely of 5G networks. These methods are designed specifically for use in 5G networks to increase the network’s lifespan and overall performance. For 5G networks, routing and clustering techniques from WSNs can be modified and optimized to increase energy efficiency and prolong the network lifetime in 5G networks.
Festive or Failure? Differences in Sentiments of Consumer Tweets on Amazon Festive Flash Sale before and after COVID-19
Authors: Khayati Chadha Et. al 
Published: February 2024

Amazon’s Great Indian Sale is an annual mega shopping festival and provides an opportunity for retailers selling on e-commerce platforms to increase their sales, traffic as well as visibility. This study aims to understand consumer behaviour through the analysis of user-generated content (UGC) on social media concerning Amazon’s Great Indian Sale from 2015 to 2020. This time period was especially significant since it allowed for the analysis of differences caused by the pandemic. It was further divided into pre-COVID-19, during COVID-19 and post-COVID-19 period. The study also aims to establish a causal relationship between the feelings of engagement of the UGC on Twitter, with the strategies of marketing and promotion of the companies. Twitter’s API was used to extract the UGC. A two-step methodology was used to extract meaningful insights. First, Latent Dirichlet Allocation (LDA) was used to identify major topics related to the Flash sales organized during the festive season. Next, Sentiment Analysis was used to classify each tweet into Positive, Negative and Neutral Sentiments in order to understand user opinions and feelings towards the marketing campaign. It was found that both during the COVID period as well as the post COVID period, topics like Deals & Offers and Exclusive Promotions were positively perceived by consumers. Topics like Pre-event Excitement, Diwali Shopping Experience, Customer Support, and Money-saving Opportunities generated positive feelings during the pre-COVID times. During COVID times, positive sentiments were generated by topics like Delivery Workers and Attractive Deals for Gifting. On the other hand, topics like Insults and Noise generated negative sentiments in both the COVID and post COVID periods. The findings of this study are significant not only to improve and devise marketing strategies and social media content for E-commerce companies, but also to provide an understanding of the effectiveness of festive sales.
Tejiendo palabras, haciendo puentes: una experiencia de mediación lingüística en tseltal-español
Authors: Cruz Cruz Reymundo , Ortega Rodríguez Emma Hilda 
Published: February 2024

El artículo muestra una experiencia de intervención lecto-escritora con estudiantes monolingües en tseltal, habitantes del municipio de Yajalón en el estado de Chiapas. El propósito de dicha experiencia fue implementar la mediación lingüística tseltal-español como estrategia pedagógica para la enseñanza de segundas lenguas en un contexto de diversidad cultural y lingüística. Desde una metodología investigativa de acción participativa (IAP), fundada en la observación microetnográfica, la entrevista semiestructurada y el diseño colaborativo de secuencias didácticas, se brinda un panorama de los problemas asociados al aprendizaje del español en un grupo de 21 estudiantes de entre seis y siete años de edad. Los resultados reflejan: 1) Los beneficios de la IAP al considerar a los estudiantes agentes de su aprendizaje y 2) La mejora en el aprendizaje del español, reflejada en un ambiente escolar de creciente confianza con apoyo de un agente mediador quien promueve el aprendizaje basado en “la palabra tseltal”. Con lo anterior, se concluye que el tseltal (L1) no sólo representa un canal comunicativo, sino también una herramienta pedagógica para el aprendizaje del español (L2), el cual bien podría asumirse, en este contexto, como una lengua extranjera o ajena a la realidad de la comunidad lingüística en cuestión.
Utilization of Sargassum sp. to Improve Blood Plasma Minerals for Thin Tailed Weaning Ram
Authors: Paga Agustinus , Agus Ali , Kustantinah Kustantinah , Bulu Petrus Malo , Tavares Luis 
Published: February 2024

This study aimed to study the blood plasma minerals of thin-tailed weaning ram prior to administration of Sargassum sp. as a source of minerals. Research materials and methods. The use of Sargassum sp. seaweed flour. sun-drying on 16 weaned thin tailed rams, aged 5-6 months with a bodyweight of ±11.8 kg for 3 months, using a 4x4 completely randomized design (CRD) with four treatments, namely T1 = forage + concentrate + 0% minerals of concentrate, T2 = Forage + concentrate + cow booster minerals 0.38% of concentrate, T3 = forage + concentrate + Sargassum sp.5% of concentrate, T4 = forage + concentrate + Sargassum sp.10% of concentrate. The observed research variables were the consumption of macro minerals (Ca, Mg, K, and Na and micro minerals Cu, Fe, and Zn) and balance of macro minerals Ca, Mg, K. and Na and micro minerals (Cu, Fe, and Zn blood plasma before and after treatment with seaweed Sargassum sp. The results showed that the treatment had a significant effect (P<0.05) on mineral Ca consumption, Mg, K, Na, Cu, Fe, and Zn. Blood plasma minerals before treatment did not differ on Mg, Na, Cu, Fe, Zn, but had a significant effect (P<0.05) on Ca and K. The treatment had a significant effect (P<0.05) on minerals Mg, Cu, and Fe in blood plasma, but did not affect Ca, K, Na, Zn. Based on the results obtained, the use of Sargassum sp. 10% of the total concentrate with sun drying can increase the consumption of macro and micro minerals as well as increase the minerals Mg, Cu, and Fe in the blood plasma of weaning rams.
The Quality of Frozen Buffalo Sperm Following Sexing using Bovine Serum Albumin (BSA) Column and Swim-Up (SU) Methods
Authors: Masrizal Masrizal , Afriani Tinda , Wahyudi Dwiki , Saharani Savira , Ananda Ananda 
Published: February 2024

This study assesses the impact of two sperm sexing techniques, the Bovine Serum Albumin (BSA) column method, and the swim-up (SU) method, on frozen buffalo spermatozoa quality. A total of 50 straws of frozen buffalo semen were used in this study. Spermatozoa quality was evaluated before (post thawing) and after the spermatozoa sexing process. Spermatozoa trapped in BSA upper fraction, BSA lower fraction, SU upper fraction, and SU lower fraction were separately evaluated. The parameters measured consisted of spermatozoa motility, viability, intact plasma membrane, intact acrosome cap, and spermatozoa DNA integrity. The results indicated that the quality of post-thawing buffalo spermatozoa remained relatively high, with motility at 41%, viability at 64.48%, intact plasma membrane at 55.42%, intact acrosome cap at 47.12%, and sperm DNA integrity at 74.94%. However, the use of the BSA column method significantly (p<0.05) decreased spermatozoa quality in both the upper and lower fractions, resulting in motility levels of 34% and 32%, viability rates of 49.36% and 44.71%, intact plasma membrane percentages of 44.78% and 37.13%, intact acrosome cap figures of 37.58% and 33.27%, and sperm DNA integrity levels of 74.76% and 72.45%, respectively. In contrast, the application of the SU method proved effective in preserving post-thawing spermatozoa quality, yielding motility rates of 42% and 41%, viability levels of 63.62% and 62.78%, intact plasma membrane percentages of 54.42% and 54.74%, intact acrosome cap figures of 46.94% and 45.74%, and sperm DNA integrity values of 70.57% and 70.01%, respectively. In summary, after freezing, the SU method excel the BSA column method in maintaining the quality of buffalo spermatozoa post-thawing.
Categorizing and quantifying doctor’s extended answers and their strategies in medical teleconsultations
Authors: Li Huaikui Kevin 
Published: February 2024

Abstract
This study analyzed 210 clinical teleconsultations using corpus software to categorize and quantify doctors’ extended answers and communication strategies. The findings reveal that doctors’ extended answers could be classified into seven categories, with explanations for the inability to provide accurate diagnoses having the highest frequencies at 40.6%, followed by justifications for diagnoses at 30.9%. The remaining categories had lower frequencies ranging from 3.2% to 8.3%. Brown & Levinson’s communication strategy framework was employed to categorize strategies used in extended answers. Four strategies were identified: baldly on-record strategy (BORS), positive politeness strategy (PPS), negative politeness strategy (NPS), and off-record strategy (ORS). Among these, NPSs were the most commonly used at 83.4%. followed by BORSs at 9.2% and PPSs at 6.4%. ORS were the least utilized at1.0%. Within the seven NPS categories, making vague diagnoses had the highest percentage at 36.2%, followed by providing justifications or explanations for diagnoses at 26.3%. Other NPS categories had proportion ranging from 13.5% to 0.2%. The frequencies of the two BORS categories each accounted for 4.6%. The dominant proportion in PPS was being optimistic at 3.6%., while the other two categories of using in-group markers and employing consolation routines accounted for 1.2% and 1.5%, respectively.
Spatiotemporal evolution and influencing mechanisms of carbon pressure at the county scale: a case study of central-south Liaoning urban agglomeration, China
Authors: Liu Xinrui , Guo Rongfei , Zhang Yabing , Liu Na , Zhang Jian 
Published: February 2024

Abstract
To comprehensively assess the balance between carbon emission and carbon sequestration from a spatiotemporal perspective, research on the spatiotemporal characteristics and transition mechanisms of carbon pressure in central-south Liaoning urban agglomeration (CSLUA) at the county level from 2002 to 2017, is conducted through nesting spatiotemporal leaps and quantile regression. Research results suggest that: (1) The overall carbon pressure index (CPI) of districts and counties in CSLUA shows an increasing trend and exhibits a spatial pattern of higher pressure in the west and lower pressure in the east, with severe overload in the central areas of west. (2) The overall spatial distribution of CPI shows significant high-high agglomeration and low-low agglomeration. The local spatial structure of carbon pressure is relatively stable, showing path dependence and transfer inertia. The central areas of west demonstrate stronger dynamism, while the eastern areas are relatively stable. (3) Most districts and counties in CSLUA are predominantly influenced by the environment technology constraint pattern. Small parts of regions located in the central areas of western cities were influenced by the industry-population-driven and economy-human-urbanization driven patterns. Therefore, the green and low-carbon development needs to jointly consider the regional development characteristics, driving factors, agglomeration types, and transition paths. It is important to design differentiated and coordinated emission reduction strategies based on local conditions while considering spatial correlation, and to establish an inter-regional collaborative governance mechanism. In this manner, co-reduction and co-optimization of carbon emissions can be accomplished through effective pilot implementation strategies and successful regions encouragement.
Metabolic index of the best preserved hemisphere of 18F-FDG PET imaging combination behavioral CRS-R scores predict recovery from disorders of consciousness
Authors: Guo Kun , Li Guiyu , Quan Zhiyong , Wang Yirong , Wang Junling , Kang Fei , Wang Jing 
Published: February 2024

Abstract

Background The objective of this study was to develop a prognostic model for predicting one-year post-injury outcomes in chronic disorders of consciousness (DoC) by detecting relatively preserved brain metabolism through 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET). This approach allows the assessment of the level of consciousness and the prediction of the likelihood of wakefulness. Methods Eighty-seven DoC patients newly diagnosed with behavioral Revised Coma Recovery Scale (CRS-R) and 18F-FDG PET/CT studies were included. PET images were standardized by the metabolic index of the best-preserved hemisphere (MIBH) and the ratio SUV (SUVR), respectively. The training of image-based classification was conducted using the DenseNet121 network, while tabular-based deep learning was employed for training depth features extracted from imaging models and behavioral CRS-R scores. The performance of the models was assessed using the area under the curve (AUC). Results Of the 87 DoC patients who received routine treatments, consciousness recovery was observed in 52 patients, while consciousness non-recovery was observed in 35 patients. The classification performance of the MIBH model was found to be superior to that of the SUVR model, with AUC values of 0.751 ± 0.093 and 0.412 ± 0.104 on the test sets, respectively. The MIBH + CT multimodal model was determined to perform better than the MIBH-only model, achieving an AUC of 0.784 ± 0.073 on the test sets. The combination of MIBH + CT depth features with behavioral CRS-R scores resulted in the best classification accuracy, with AUC values of 0.950 ± 0.027 and 0.933 ± 0.015 on the training and test sets, respectively. Conclusions The prediction of recovery in DoCs was facilitated by a model based on a combination of multimodal imaging features and behavioral CRS-R scores.
Management and climate effects to global changes in crop yield stability
Authors: Iizumi Toshichika , Sakai Toru , Masaki Yoshimitsu , Oyoshi Kei , Takimoto Takahiro , Shiogama Hideo , Imada Yukiko , Makowski David 
Published: February 2024

Abstract
Crop yield stability is key for food security. However, little is known about whether recent technological advances are sufficient to stabilize yields against seasonal climate variability and extremes under climate change. Using a grid yield dataset, we found that from 2001 to 2020, the standard deviation (SD) of yield anomalies for maize, rice, wheat, and soybean, increased across 119.2 million hectares (Mha), or 19% of the global harvested area. Management improvement has not kept pace with worsening agro-climatic conditions in 80% of areas with increased SD. However, the coefficient of variation (CV) for yield anomalies increased in only the half of areas with increased SD, or 11% of the global harvested area, due to concurrent increases in average yields. The worsened agro-climatic condition increased yield anomaly SD to be 9.7% greater than what would occur without climate change. Adaptation finance needs to quadruple for stabilizing yields by boosting agricultural R&D.
Stanniocalcin 2 governs cancer cell adaptation to nutrient insufficiency through alleviation of oxidative stress
Authors: Qie Shuo , Xiong Haijuan , Liu Yaqi , Yan Chenhui , Wang Yalei , Tian Lifeng , Wang Chenguang , Sang Nianli 
Published: February 2024

Abstract

Solid tumours often endure nutrient insufficiency during progression. How tumour cells adapt to temporal and spatial nutrient insufficiency remains unclear. We previously identified STC2 as one of the most upregulated genes in cells exposed to nutrient insufficiency by transcriptome screening, indicating the potential of STC2 in cellular adaptation to nutrient insufficiency. However, the molecular mechanisms underlying STC2 induction by nutrient insufficiency and subsequent adaptation remain elusive. Here, we report that STC2 protein is dramatically increased and secreted into the culture media by Gln-/Glc- deprivation. STC2 promoter contains cis-elements that are activated by ATF4 and p65/RelA, two transcription factors activated by a variety of cellular stress. Biologically, STC2 induction and secretion promote cell survival but attenuate cell proliferation during nutrient insufficiency, thus switching the priority of cancer cells from proliferation to survival. Loss of STC2 impairs tumour growth by inducing both apoptosis and necrosis in mouse xenografts. Mechanistically, under nutrient insufficient conditions, cells have increased levels of reactive oxygen species (ROS), and lack of STC2 further elevates ROS levels that lead to increased apoptosis. RNA-Seq analyses reveal STC2 induction suppresses the expression of monoamine oxidase B (MAOB), a mitochondrial membrane enzyme that produces ROS. Moreover, a negative correlation between STC2 and MAOB levels is also identified in human tumour samples. Importantly, the administration of recombinant STC2 to the culture media effectively suppresses MAOB expression as well as apoptosis, suggesting STC2 functions in an autocrine/paracrine manner. Taken together, our findings indicate that nutrient insufficiency induces STC2 expression, which in turn governs the adaptation of cancer cells to nutrient insufficiency through the maintenance of redox homeostasis, highlighting the potential of STC2 as a therapeutic target for cancer treatment.
An Innovative Fusion of New Smile Random Forest and Fuzzy Analysis for Comprehensive Seismic hazard Assessment: A Case Study in Mersin, Türkiye
Authors: Yakar Murat , Kamran Khalil Valizadeh , Alptekin Aydın , Kuşak Lütfiye , Unel Fatma Bunyan , Yariyan Peyman 
Published: February 2024

Abstract
This study addresses the critical issue of earthquake vulnerability in Mersin, Türkiye, given its susceptibility to seismic threats due to factors such as high population density, substandard constructions, narrow roads, and urban congestion. The research employs a comprehensive approach, utilizing a multi-criteria evaluation model and a novel hybrid random forest model to estimate the city's vulnerability proportionally. Spatial data encompassing physical, population, building quality, accessibility, relief, and hazard facilities were incorporated into the assessment. Weights for these components were determined through the Analytic Network Process (ANP) model, and a hybrid approach using Linear, Small, and Large functions calculated distances between options with fuzzy-fication. Resampling 10m x 10m maps addressed variations in spatial resolutions, while an 80% training set and 20% test set mitigated overfitting concerns. Expert opinions were pivotal in establishing criteria and sub-criteria for determining safe areas for temporary accommodation, rescue centers, and a seismic vulnerability map. The Smile Random Forest hybrid model was instrumental in generating these outcomes. Notably, the vulnerability map indicated that 24% of Mersin's areas fall within the high and very high vulnerability range. Key contributors to vulnerability included Geology factors (26.4), Land use (16.1), Epicenters (13.1), and slope and DEM (6.4). These findings underscore the imperative for strategic planning and interventions to minimize earthquake-induced damage in Mersin.