bluuebunny/crossref_metadata_2025 huggingface dataset:
Data-Driven Intelligent Monitoring of Die-Casting Machine Injection System
Authors: Zhai Yifei , Liang Qiuhui , Zhang Wei
Published: October 2023

The quality and productivity of die castings are directly influenced by the injection system performance of the die-casting machine, making advanced performance monitoring of paramount importance. However, with the present technology, it is impossible to discriminate between the hydraulic components that influence the operation of a pressured injection system due to their sheer number and complexity. On the other hand, it is challenging to pinpoint the pressured injection system while it is in the poor performance stage due to the complexity and variety of the working conditions in actual production as well as the lack of data. In this paper, the hydraulic principle of the pressure injection system is examined, and a simulation model of the pressure injection system is built by adjusting the values of various components and running simulation experiments to produce a sample set. The sample set is fed into an intelligent evaluation approach that combines BP neural networks, convolutional neural networks (CNN), and long short-term memory networks (LSTM). The above intelligent algorithm is used to obtain both the performance index of the pressurized injection system and the components that lead to the low-performance index. The Dempster-Shafer (DS) theory is used to perform information fusion on the component classification results, and a new neural network is designed to perform information fusion on the performance metric evaluation results. The combined results are the final classification and regression results. Later, simulation tests are used to compare and validate the method. The findings demonstrate that the proposed intelligent algorithm outperforms previous algorithms in terms of accuracy and stability. In terms of component classification, the average accuracy for BP-LSTM is 87.83%, CNN-LSTM is 90.63%, after stacking it is 93.31%, and the proposed method is 95.67%. For performance evaluation, the average R2 of BP-LSTM is 0.88 and the average MAE is 3.09; the average R2 of CNN-LSTM is 0.908 and the average MAE is 2.64; and the average R2 of the proposed method is 0.947 and the average MAE is 1.86.
Hybrid Task Cascade-Based Building Extraction Method in Remote Sensing Imagery
Authors: Deng Runqin , Zhou Meng , Huang Yinni , Tu Wei
Published: October 2023

Instance segmentation has been widely applied in building extraction from remote sensing imagery in recent years, and accurate instance segmentation results are crucial for urban planning, construction and management. However, existing methods for building instance segmentation (BSI) still have room for improvement. To achieve better detection accuracy and superior performance, we introduce a Hybrid Task Cascade (HTC)-based building extraction method, which is more tailored to the characteristics of buildings. As opposed to a cascaded improvement that performs the bounding box and mask branch refinement separately, HTC intertwines them in a joint multilevel process. The experimental results also validate its effectiveness. Our approach achieves better detection accuracy compared to mainstream instance segmentation methods on three different building datasets, yielding outcomes that are more in line with the distinctive characteristics of buildings. Furthermore, we evaluate the effectiveness of each module of the HTC for building extraction and analyze the impact of the detection threshold on the model’s detection accuracy. Finally, we investigate the generalization ability of the proposed model.
MosReformer: Reconstruction and Separation of Multiple Moving Targets for Staggered SAR Imaging
Authors: Qi Xin , Zhang Yun , Jiang Yicheng , Liu Zitao , Yang Chang
Published: October 2023

Maritime moving target imaging using synthetic aperture radar (SAR) demands high resolution and wide swath (HRWS). Using the variable pulse repetition interval (PRI), staggered SAR can achieve seamless HRWS imaging. The reconstruction should be performed since the variable PRI causes echo pulse loss and nonuniformly sampled signals in azimuth, both of which result in spectrum aliasing. The existing reconstruction methods are designed for stationary scenes and have achieved impressive results. However, for moving targets, these methods inevitably introduce reconstruction errors. The target motion coupled with non-uniform sampling aggravates the spectral aliasing and degrades the reconstruction performance. This phenomenon becomes more severe, particularly in scenes involving multiple moving targets, since the distinct motion parameter has its unique effect on spectrum aliasing, resulting in the overlapping of various aliasing effects. Consequently, it becomes difficult to reconstruct and separate the echoes of the multiple moving targets with high precision in staggered mode. To this end, motivated by deep learning, this paper proposes a novel Transformer-based algorithm to image multiple moving targets in a staggered SAR system. The reconstruction and the separation of the multiple moving targets are achieved through a proposed network named MosReFormer (Multiple moving target separation and reconstruction Transformer). Adopting a gated single-head Transformer network with convolution-augmented joint self-attention, the proposed MosReFormer network can mitigate the reconstruction errors and separate the signals of multiple moving targets simultaneously. Simulations and experiments on raw data show that the reconstructed and separated results are close to ideal imaging results which are sampled uniformly in azimuth with constant PRI, verifying the feasibility and effectiveness of the proposed algorithm.
A New Efficient Multi-Object Detection and Size Calculation for Blended Tobacco Shreds Using an Improved YOLOv7 Network and LWC Algorithm
Authors: Jia Kunming , Niu Qunfeng , Wang Li , Niu Yang , Ma Wentao
Published: October 2023

Detection of the four tobacco shred varieties and the subsequent unbroken tobacco shred rate are the primary tasks in cigarette inspection lines. It is especially critical to identify both single and overlapped tobacco shreds at one time, that is, fast blended tobacco shred detection based on multiple targets. However, it is difficult to classify tiny single tobacco shreds with complex morphological characteristics, not to mention classifying tobacco shreds with 24 types of overlap, posing significant difficulties for machine vision-based blended tobacco shred multi-object detection and unbroken tobacco shred rate calculation tasks. This study focuses on the two challenges of identifying blended tobacco shreds and calculating the unbroken tobacco shred rate. In this paper, a new multi-object detection model is developed for blended tobacco shred images based on an improved YOLOv7-tiny model. YOLOv7-tiny is used as the multi-object detection network’s mainframe. A lightweight Resnet19 is used as the model backbone. The original SPPCSPC and coupled detection head are replaced with a new spatial pyramid SPPFCSPC and a decoupled joint detection head, respectively. An algorithm for two-dimensional size calculation of blended tobacco shreds (LWC) is also proposed, which is applied to blended tobacco shred object detection images to obtain independent tobacco shred objects and calculate the unbroken tobacco shred rate. The experimental results showed that the final detection precision, mAP@.5, mAP@.5:.95, and testing time were 0.883, 0.932, 0.795, and 4.12 ms, respectively. The average length and width detection accuracy of the blended tobacco shred samples were −1.7% and 13.2%, respectively. The model achieved high multi-object detection accuracy and 2D size calculation accuracy, which also conformed to the manual inspection process in the field. This study provides a new efficient implementation method for multi-object detection and size calculation of blended tobacco shreds in cigarette quality inspection lines and a new approach for other similar blended image multi-object detection tasks.
Knowledge-Oriented Leadership in Powering Team Performance and Sustainable Competitive Advantages through Innovation: Evidence from Higher Education Institutions
Authors: Manzoor Amna , Zhang Bowen , Ma Hongguang
Published: October 2023

The literature on sustainable competitive advantages and performance has grown extensively in organizations over the last three decades. However, sustainable competitive advantages have received limited attention from scholars in academic institutions. To contribute to the literature, this research examines how knowledge-oriented leadership stimulates team performance through innovation, eventually directing towards a sustainable competitive advantage in higher education institutions (HEIs). The data was gathered from 64 team leaders and 303 team members from Pakistan’s HEIs to assess the model. The results indicate that knowledge-oriented leadership significantly enhances team performance, with this association partially mediated by the speed of innovation. At the same time, no mediating role is observed for the quality of innovation. In addition, team performance and its relationship with a sustainable competitive advantage originated positively. As a result, HEIS should promote knowledge-oriented leadership as a crucial strategy for managing the complex dynamics of innovation, team performance, and sustainable competitive advantages. These institutions should prioritize appointing knowledge-oriented leaders to enhance innovation, team performance, and sustainable competitive advantages. Further implications are conferred.
Exploring Potential R&D Collaboration Partners Using Embedding of Patent Graph
Authors: Lee Juhyun , Park Sangsung , Lee Junseok
Published: October 2023

Rapid market change is one of the reasons for accelerating a technology lifecycle. Enterprises have socialized, externalized, combined, and internalized knowledge for their survival. However, the current era requires ambidextrous innovation through the diffusion of knowledge from enterprises. Accordingly, enterprises have discovered sustainable resources and increased market value through collaborations with research institutions and universities. Such collaborative activities effectively improve enterprise innovation, economic growth, and national competence. However, as such collaborations are conducted continuously and iteratively, their effect has gradually weakened. Therefore, we focus on exploring potential R&D collaboration partners through patents co-owned by enterprises, research institutions, and universities. The business pattern of co-applicants is extracted through a patent graph, and potential R&D collaboration partners are unearthed. In this paper, we propose a method of converting a co-applicant-based graph into a vector using representation learning. Our purpose is to explore potential R&D collaboration partners from the similarity between vectors. Compared to other methods, the proposed method contributes to discovering potential R&D collaboration partners based on organizational features. The following questions are considered in order to discover potential R&D partners in collaborative activities: Can information about co-applicants of patents satisfactorily explain R&D collaboration? Conversely, can potential R&D collaboration partners be discovered from co-applicants? To answer these questions, we conducted experiments using autonomous-driving-related patents. We verified that our proposed method can explore potential R&D collaboration partners with high accuracy through experiments.
Evaluating the Elastic Constants of Concrete, Modified with Fly Ash and Marble Waste, and Their Effects on High-Rise Buildings Using ETABS Software
Authors: Moolchandani Karan , Sharma Abhay
Published: October 2023

This study involves partially replacing coarse aggregate with marble waste products, and partially replacing cement with fly ash, in order to obtain the best results. This study aims to determine how the use of these waste products affects the mechanical properties of the resulting concrete, which could have valuable implications for sustainable construction practices. Different samples were prepared by adding marble waste products, marble slurry powder, fly ash, and a combination of these in the concrete. The modulus of elasticity and Poisson’s ratio for the samples were calculated, and it was found that the samples with admixtures had lower moduli of elasticity and higher Poisson’s ratio values than did the conventional concrete mixture. Based on the values of elastic constants E and µ of the general and modified concrete mixtures, two structures are modelled for each concrete mixture and simulated using ETABS Ultimate software to evaluate and compare the practical applicability of the modified concrete mixtures. Both of the envisaged buildings are considered identical, having shear walls placed symmetrically. The response of the structure was analysed by applying earthquake load, wind load, and respective combinations according to IS codes. The storey displacement and storey stiffness under the lateral load and load combination were determined. The results showed that the modified concrete had comparable storey displacement and storey stiffness values to those of conventional concrete. The results indicate that the use of admixtures in concrete has several benefits, including improved workability, as well as adequate strength and durability, including resistance to deformation, as compared to conventional concrete.
The Influence of Influencer Marketing on the Consumers’ Desire to Travel in the Post-Pandemic Era: The Mediation Effect of Influencer Fitness of Destination
Authors: Tsai Chih-Ming , Hsin Shih-Peng
Published: October 2023

Social media has become an important part of most people’s lives since the pandemic and lockdowns. With little to do during lockdowns, some people created and managed social media accounts and became influencers. Following this trend, companies, governments, and individuals related to the leisure and hospitality industry turned to social media and influencer marketing to promote tourism in specific destinations in hopes of spurring an economic recovering. Since the pandemic, consumers have turned to social media to gather information and ideas for travel plans. To better understand the connection between what consumers read online and their desire to travel, this study aims to analyse the impacts of influencers, including their content and the fitness of destination, on consumers, who have their own perceived value and desire for the destination. A total of 332 Taiwanese respondents aged 18 to 55 were sampled to conduct a data analysis using the structural equation model (SEM). The results showed that content has a positive impact on the fitness of destination and the desire to travel, with no significant impact on perceived value, and the fitness of destination has a positive impact on perceived value and the desire to travel; in contrast, perceived value has a negative impact on the desire to travel. The mediation effect of influencer fitness of destination was also investigated through the bootstrap method. Fitness of destination acts as a full mediator between content and perceived value. Finally, the findings and managerial implications are further discussed to examine how the desire to travel among consumers can be affected by influencer marketing in the post-pandemic era. Practical suggestions for applying influencer marketing strategies based on the results are also proposed to help the tourism industry boost tourism revenue and achieve sustainable development goals after the pandemic.
Research on Optimization of Monitoring Nodes Based on the Entropy Weight Method for Underground Mining Ventilation
Authors: Yang Shouguo , Zhang Xiaofei , Liang Jun , Xu Ning
Published: October 2023

Air pressure monitoring is the basis of mining-intelligent ventilation. In order to optimize the coverage of monitoring nodes, the node importance in the ventilation network was taken as the optimization basis in this study. Two evaluation indexes of the extent of node coverage and the influence degree of nodes were obtained by analyzing the influence degree of node air pressure. The entropy weight method (EWM) was used to weigh the evaluation indexes to obtain the importance of all nodes in the ventilation network. A node layout method with node importance as the optimization of air pressure-monitoring nodes was proposed. The minimum distance correlation between the limited monitoring nodes and the monitored nodes was set as the constraint condition, and any air pressure monitoring node could only monitor its adjacent nodes. The nodes with high node importance were selected as air pressure-monitoring nodes in turn until the coverage of air pressure-monitoring nodes in the ventilation network was maximized. By applying the entropy weight method (EWM) and the clustering algorithm (CA) to the case mine, the research results show that the application of the entropy weight method (EWM) to optimize the air pressure-monitoring nodes was more feasible than the clustering algorithm (CA). The coverage rate was 81.6% at different constraint values, and the maximum coverage rate was 92.1%, which meets the needs of arranging the least air pressure-monitoring nodes to monitor the maximum range of air pressure changes and can carry out full coverage monitoring of mine air pressure.
Study on the Impact of Corporate ESG Performance on Green Innovation Performance—Evidence from Listed Companies in China A-Shares
Authors: Zhang Jing , Liu Ziyang
Published: October 2023

With the establishment of China’s “dual carbon” target and the promotion of high-quality development strategy, the role of green innovation has become increasingly important. Corporate ESG innovation, as a guiding principle for companies to practice sustainable development and an important signal for evaluating their environmental and social responsibilities as well as corporate governance level, deserves in-depth research on its impact on green innovation performance. This paper empirically analyzes the green innovation effect of corporate ESG (Environmental, Social and Governance) performance using Chinese A-share listed companies as a sample from 2009 to 2021. The research shows that corporate ESG performance can enhance green innovation performance. Mechanism analysis reveals that ESG performance mainly improves green innovation performance by alleviating financing constraints and enhancing human capital. Further research shows that all three sub-dimensions of ESG performance contribute to improving green innovation performance, with the strongest effect observed in corporate governance performance. ESG performance not only enhances strategic green innovation performance and independent green innovation performance but also improves substantial green innovation performance and collaborative green innovation performance. Therefore, the government should improve the ESG information disclosure system, increase support for companies with excellent ESG performance, and improve local talent policies to attract high-quality green innovation talents. Investors should incorporate ESG performance into their decision-making and strengthen the identification and use of ESG information. Companies should formulate ESG strategies, increase relevant investments, prioritize corporate governance improvement, and enhance the quality of ESG information disclosure through various means.
Can Low–Carbon City Development Stimulate Population Growth? Insights from China’s Low–Carbon Pilot Program
Authors: Chen Guorong , Liu Changyan
Published: October 2023

In line with global trends, China confronts significant environmental challenges while navigating critical shifts in its population dynamics. The low–carbon pilot program, initiated in China in 2010 and spanning over 100 cities, is dedicated to reducing carbon emissions while facilitating robust economic growth. However, the program’s impact on population growth has remained uncertain. Employing a quasi–natural experiment and the Difference–in–Difference method, this study reveals a positive association between the program and population growth. The analysis of mediating effects indicates that the program potentially stimulates population growth by attracting more Investment and reducing exhaust emissions. Nevertheless, there is a lack of evidence supporting its ability to enhance population growth through the promotion of household income. Further investigation reveals a diminishing effect of the program on population growth as cities transition from eastern to middle to western regions. Notably, no substantial heterogeneity is observed concerning the impact of GDP per capita on population growth. This research contributes empirical insights into the relationship between low–carbon programs and population growth, offering valuable guidance to municipalities seeking to bolster their populations. The potency of these strategies can be augmented by attracting investment and enhancing air quality, in contrast to a sole focus on income levels. Ultimately, the study provides actionable policy recommendations in this context.
The Impact of Social Inclusion and Financial Development on CO2 Emissions: Panel Analysis from Developing Countries
Authors: Ahmad Nawaz , Ghouse Ghulam , Bhatti Muhammad Ishaq , Aslam Aribah
Published: October 2023

The intricate interplay between the environment and the economy entails numerous multifaceted factors that require thorough investigation. Civic activism, intergroup cohesion, and gender equality are among the pertinent factors that hold the potential to significantly impact CO2 emissions in developing economies. However, these variables have not been explored to the extent that their importance warrants, leaving much to be studied and understood about their complex relationships with carbon emissions. Currently, developing nations find themselves more vulnerable and exposed to a plethora of environmental issues. In response to this pressing matter, the focus of this study is to expound upon the impact of various factors on the environment. To achieve this aim, this study utilizes annual data from 46 developing countries, spanning the extensive period from 1990 to 2014. Using the generalized method of moments and empirical Bayes methods, this study’s results emphasize the significant impact that civic activism, gender equality, intergroup cohesion, and financial development can have on increasing CO2 emissions. However, civic activism reduces CO2 emissions. These findings highlight the crucial importance of adopting a comprehensive approach that accounts for both economic and social cohesion indicators when tackling environmental challenges.
Supporting healthcare professionals to address child weight with parents: a qualitative study
Authors: Pallan Miranda , Mason Frances , Parretti Helen M , Adab Peymané , Abbott Sally , Jolly Kate
Published: October 2023

Background

Primary care and community healthcare professionals (HCPs) are well placed to discuss child excess weight with parents and support them to make changes. However, HCPs have concerns about addressing this issue. There is a need to understand the factors that influence HCPs in initiating these conversations to inform strategies to support them.

Aim

To explore with HCPs, working in primary care and community settings, their experiences of having conversations about child weight with parents, and the factors that create barriers or facilitate them to have these conversations.

Design and setting

A qualitative study with GPs, primary care nurses (PNs), and school nurses (SNs) in England.

Method

GPs and PNs were recruited to participate in semi-structured interviews. SNs from a community healthcare NHS trust were recruited to participate in focus groups. Vignettes were used to stimulate discussion. Data were analysed guided by the Framework approach.

Results

Thirteen GPs, seven PNs, and 20 SNs participated. The following three themes were identified regarding barriers to HCPs having conversations about child excess weight: structural and organisational; HCP related; and parent or family related. The themes identified for the factors that facilitate these conversations were: structural changes (for example, dedicated appointments, access to weight assessment data, joined-up working across agencies); HCP approaches (for example, providing appropriate dietary and physical activity advice); and HCP knowledge and skills (for example, enhancing HCPs’ general and weight management-related skills and knowledge of child weight management services).

Conclusion

A range of barriers exist to HCPs addressing child excess weight with parents in primary care and community settings. Actions to effect structural changes and support HCPs in developing relevant knowledge and skills are required to overcome these barriers.
Innovación educativa en acción: herramientas digitales y su impacto en la motivación de estudiantes universitarios
Authors: Rodriguez-Barboza Jhonny Richard , Pablo-Huamani Rebeca , Deneri Sáenz Edy Gerardina , Ramos Morales Diana Valeria , Rodriguez Rojas Milagritos Leonor
Published: October 2023

La educación post pandemia ha experimentado una transformación significativa en la forma en que se imparte el aprendizaje, pasando de entornos de enseñanza presenciales a plataformas digitales y herramientas online. El estudio tuvo como objetivo describir el impacto de las herramientas digitales en la motivación de los estudiantes en el contexto educativo post pandemia. Para ello, se realizó un estudio descriptivo no experimental transeccional, la muestra incluyó a 283 participantes de diversas universidades en Lima, y los resultados obtenidos respaldaron la efectividad de las herramientas digitales para fomentar la motivación de los estudiantes. Se llegó a la conclusión de que las herramientas digitales, cuando se emplean como técnicas motivacionales de alto nivel, pueden generar un mayor disfrute del aprendizaje y una sensación de recompensa por las contribuciones realizadas por los estudiantes. Sin embargo, es fundamental que los docentes eviten caer en enfoques didácticos tradicionales y retrasos en la entrega de calificaciones, ya que estos aspectos pueden tener un impacto negativo en la motivación de los estudiantes.
BESLENME EĞİTİMİ ALAN VE ALMAYAN ÜNİVERSİTE ÖĞRENCİLERİNDE HEDONİK AÇLIĞIN DEĞERLENDİRİLMESİ
Authors: AÇAR Yasemin , KÜÇÜKCANKURTARAN Sevtap , SÖKÜLMEZ KAYA Pınar , ERTAŞ ÖZTÜRK Yasemin
Published: October 2023

Bu çalışmanın amacı beslenme eğitimi alan ve almayan üniversite öğrencilerinde hedonik açlığın değerlendirilmesidir. Çalışma Ondokuz Mayıs Üniversitesi Sağlık Bilimleri Fakültesi’nde öğrenim görmekte olan 861 gönüllü öğrenci ile yürütülmüştür. Öğrencilerin genel özelliklerinin, beslenme alışkanlıklarının ve hedonik açlık durumlarının sorgulanması için anket formu uygulanmıştır. Çalışma sonuçlarına göre öğrencilerin %55.6’sının beslenme eğitimi aldığı bulunmuştur. Besin Gücü Ölçeği ortanca puanı beslenme eğitimi alan ve almayanlarda sırasıyla 2.9 [2.3-3.4] ve 3.0 [2.5-3.5]’tür. Beslenme eğitimi almayan öğrencilerin Besin Gücü Ölçeği toplam puanı ve tüm alt boyut puanlarının beslenme eğitimi alan öğrencilere göre daha yüksek olduğu bulunmuş olup besin varlığı alt faktörü bakımından iki grup arasındaki farkın anlamlı olduğu görülmüştür (p=0.031). Beslenme eğitimi almayan grupta beden kütle indeksi (BKİ) arttıkça besin gücü ölçeği puanlarının da arttığı saptanmıştır (p=0.014). Beslenme eğitimi almayan bireylerde hedonik açlığın yüksek olmasının beden kütle indeksindeki artış için bir risk faktörü olabileceği ve beslenme eğitiminin bireylerin sağlıklı beslenme alışkanlıkları kazanmasında önemli bir faktör olabileceği düşünülmektedir. Bu kapsamda, üniversite öğrencilerinin ilerleyen yaşamlarında obezite riskini önlemek için beslenme eğitimleri ile sağlıklı beslenme alışkanlıkları kazanmaları ve hedonik açlık konusundaki farkındalıklarının artırılması önem kazanmaktadır.
ÇOCUĞU YOĞUN BAKIM ÜNİTESİNDE YATAN ANNELERE HEMŞİRELERİN SAĞLADIĞI DESTEK DÜZEYİNİN BELİRLENMESİ
Authors: OĞUL Gülşah , ÇALIŞKAN Zehra
Published: October 2023

Bu çalışma, çocuğu yoğun bakım ünitesinde yatan annelere hemşirelerin sağladığı destek düzeyinin belirlenmesi amacıyla yapılmıştır. Kesitsel-tanımlayıcı çalışmanın örneklemini, bir eğitim araştırma hastanesinin, yoğun bakım ünitesinde çocuğu yatan anneler (n=250) oluşturmuştur. Veriler ‘Çocuk-Ebeveyn Bilgi Formu’ ve ‘Hemşire Ebeveyn Destek Ölçeği (HEDÖ)’ ile toplanmış, değerlendirilmesi bilgisayar ortamında tanımlayıcı istatistikler, independent t test ve Anova (Posthoc Tukey) testleri ile yapılmıştır. Çalışmada, annelerin HEDÖ toplam puan ortalaması 87.26±14.23 olup, hemşirelerin annelere verdiği destek düzeyinin yüksek olduğu görülmekle birlikte çocuğunun hastalığına yönelik bilgi alamayan, verilen bilgiyi yeterli bulmayan annelerin hemşire destek puanlarının düşük (p0.05). Pediatri hemşirelerinin bu süreçteki annelerin destek düzeyini saptaması, çocuğunun hastalığı tedavi süreci, uygulanan girişimler konusunda onları bilgilendirmesi ve desteklemesi önerilmektedir.
The filed of biography in the Ismaili Literature.
Authors: Chahinez Maatougui , Tifouri Kaddour.
Published: October 2023

Talking about digital text or digital literature is a controversial conversation because of the intellectual differences and conflicts that the topic carries, and a great controversy taking place in the critical and literary arena. Which carries in itself the features and characteristics of digital technology, to reveal a new aspect of creative experimentation and identification between what is technological and what is literary, despite the distance of the two fields from each other, but the digital creator was able to produce a hybrid text that bears the characteristics of the two fields, and this text in turn is directed towards The digital receiver who possesses a privacy comparable to the privacy of the creator and the text together, which opens a window for us towards worlds and labyrinths that transcend all impossible and transcend all limits
الأحباش: الآراء العقديّة و تكفير المخالف
Authors: Mohamed Ben Abdallah Messaoudi Mohamed Ben Abdallah Messaoudi
Published: October 2023

تعرض هذ الورقة العلمية قضيّة مهمة في إطار البحث حول الفرق و التيارات الإسلامية المعاصرة والجدل الحاصل حول كبريّات المسائل الخلافيّة على غرار الاختلاف حول طريقة التعامل مع النصوص المتشابهة في القرآن و السنّة، و لعلّ الأحباش أو أتباع عبد الله الهرري مثلوا امتدادا للمدرسة الأشعريّة في تقرير مباحث العقيدة الإسلامية و لكنّهم سلكوا طريقا خاصا بهم في إصدار أحكام الكفر والردة و المروق في حقّ المخالف؛ حيث  أُخرجت هذه القضايا الخلافيّة من دائرة الصواب و الخطأ إلى دائرة الإيمان و الكفر وهذه مسألة على قدر كبير من الدقّة و الحساسيّة التي ينبغي الوقوف دونها.
يمثّل الأحباش تيارا مغاليا و متعصبا في الجانب العقدي و هذا ما أثّر سلبا على فسيفساء التيارات والطوائف المنتمية لحوزة الإسلام من قريب أو من بعيد، فيكون الأولى التجمّع و الاتفاق حول المشترك الذي يجمع المسلمين دون الإيغال في المسائل التي تُفرق صفوف المسلمين.
The peculiarity of the "bῑt ḫilāni" model in the Syrian Jazirah region (descriptive-analytical study)
Authors: Ribar Abdulayziz Khalaf Ribar Abdulayziz Khalaf
Published: October 2023

This study comes to shed light on an essential model of the palaces of the Syrian Jazirah during the Iron Age, which was distinguished by its specificity during this period, Where the art of architecture in the Syrian Jazirah region was attracting and interested students, Because it represents a model of originality and quality that originated in this spot since ancient times, and developed until it reached its climax in the Iron Age, It was known for the " bῑt ḫilāni " model, which was designed as a cohesive group, as it has not been proposed or seen until now in the excavations, Or the texts that indicate or stipulate that this architectural edifice is prepared from a single block devoid of any dividing lines, functions or standard features. Instead, it was designed in the form of an architectural structure that suggests enormity, Divided into wings, rooms, and halls, taking into account their number for more than one at times, in addition to the peculiarity of each part from the other (such as a center, corridor ... etc), each has its own importance and complement to the other
تجليات الشعر ووظائفه في المقامة العربية الحديثة، مقامات اليازجي أنموذجا.
Authors: Al-Markai Ismail
Published: October 2023

يعالج  هذا المقال قضية حضور الشعر في المقامة العربية الحديثة، ويحاول إبراز تجلياته في نصوص مقامات الأديب اللبناني ناصيف اليازجي، التي لا تخلو من التوظيفات الشعرية. كما يحاول أن يكشف عن الوظائف التي يؤديها الشعر داخل جنس المقامة، فاستحضار النصوص الشعرية من قبل اليازجي تجاوز إضفاء طابع التخييل والإمتاع إلى طابع التداول والإقناع، فكان الهدف من إيراد هذا الشعر هدفا إصلاحيا وتعليميا،  خاصة وأن المجتمع العربي كان يعيش في ظل التلاقح الثقافي مع المجتمع الغربي.
The role of teachers in employing the Palestinian novel to promote the Palestinian cause among public school students in the southern governorates of Palestine
Authors: Salahat Roaa
Published: October 2023

The study aimed to identify the degree of teachers’ practice of their role in employing the Palestinian novel to promote the Palestinian cause among public school students in the southern governorates of Palestine from their point of view, and to reveal the existence of differences between the mean estimates of the sample members for this level. To achieve the objectives of the study, the researcher used the descriptive approach in its analytical style. She designed a questionnaire of (27) items, and the questionnaire was applied to a sample of (80) male and female teachers. Among the most important findings of the study:The study sample's estimate of the degree of teachers' practice of their role in employing the Palestinian novel to promote the Palestinian cause among public school students in the southern governorates of Palestine obtained a relative weight of (74.426%), that is, a large degree, and there were no statistically significant differences between the mean scores of the sample's assessment of the degree of teachers' practice of their role In employing the Palestinian novel to promote the Palestinian cause among public school students in the southern governorates of Palestine due to the study variables (gender, age, stage),  The study recommended the following: protecting the Palestinian novel and preserving it from distortion or loss, forming a committee of specialists to archive Palestinian history on paper and electronically in a way that facilitates access for students, and strengthening belonging to the Palestinian generations, whether inside or outside Palestine, forming a committee to evaluate and amend curricula to serve the promotion of the novel And the Palestinian cause, and alleviating the teacher’s burdens so that he can carry out extracurricular activities that serve to strengthen the Palestinian cause and narrative, and benefit from the capabilities of this great people to address the hateful division, as unity is the basis for victory over this tyrannical and unjust occupation, and the use of technology and electronic space to spread narratives that dedicate Jerusalem’s status as the center of the Palestinian cause, and shed light towards it
Salas de escape virtual para mejorar la comprensión lectora en alumnos de educación general básica
Authors: Chacon Pallasco Evelin Aracely
Published: October 2023

La presente investigación propone las salas de escape virtual como estrategia de gamificación para potenciar habilidades para la comprensión lectora en alumnos de educación general básica en el Ecuador, lo cual tiene por objetivo describir los beneficios que aporta de su puesta en práctica en el aula. Conviene enfatizar que esta investigación es documental y descriptiva con un enfoque cualitativo mediante un método deductivo, ya que para su estudio se sustentó en el análisis de fuentes secundarias.
Los resultados alcanzados demuestran un bajo nivel de comprensión lectora en Ecuador, de acuerdo a la información proporcionada de las evaluaciones PIACC, puesto que arrojó un puntaje menor en comparación con otros países; además se identificó el desconocimiento acerca del manejo correcto de herramientas tecnológicas por parte de los docentes, lo que afecta principalmente al aprendizaje. Asimismo, se tomó en consideración el nivel de valoración de los estudiantes al realizar actividades enfocadas a la resolución de acertijos y misiones. Finalmente, la comprensión lectora es fundamental en el desarrollo del educando, por lo tanto, se debe incentivar mediante el juego utilizando como recurso ideal las salas de escape virtual, pues ellas aluden a la estimulación de la atención, memoria y motivación mediante enigmas y actividades de ingenio.
Evaluation of Inclusive Elementary School Learning in Yogyakarta
Authors: Widyastuti Windi , Haryanto Haryanto
Published: October 2023

This study aims to evaluate inclusive school learning at inclusive elementary schools in Yogyakarta. This is an evaluative study using the discrepancy evaluation model by Malcolm Provus  through 5 steps of evaluation (design, installation, process, measurement, and comparison) to classify constructs in research papers. Data collection techniques using observation, interviews, and documentation. The validity of the data is done through data triangulation. The evaluation uses a discrepancy evaluation model. The results showed that: 1) inclusive school learning planning in this school used a curriculum and RPI tailored to students' needs. So that the evaluation of the implementation of the curriculum and RPI follows the practice of curriculum planning at other inclusive schools, 2) the implementation of inclusive school learning, which includes the application of teaching strategies, and inclusive student learning assistance, there are no gaps by the practice of curriculum planning at other inclusive schools., 3) there is no gap in the assessment of inclusive school learning following curriculum planning practices at other inclusive schools because the comparison is based on procedures that have been carried out at other inclusive schools.
Development of Electronic Student Activity Sheet (E-LKM) Utilization of Used Cooking Oil for Chemistry Education Students
Authors: Ramadhan Ahmad Khairu , Erna Maria , Linda Roza
Published: October 2023

This study aims to develop an electronic student activity sheet (E-LKM) utilization of used cooking oil for chemistry education students in entrepreneurship courses. This research is development research with the Plomp development model. The data obtained came from 6 validators (3 material experts and 3 media experts), 3 lecturers of entrepreneurship courses, and 30 students from three universities, namely Riau University, Sultan Syarif Kasim Riau State Islamic University, and Riau Islamic University. Data collection techniques are used in the form of interviews, documentation, and questionnaires. The data analysis technique is by calculating the percentage score of the validation assessment and user response. The results showed that the developed E-LKM met the very valid criteria with a percentage of 92.13% by material experts and 90.70% by media experts. The results of the responses of lecturers and students show that the developed E-LKM meets the very good criteria with a percentage of 82.93% by lecturers and meets the attractive criteria of 84.51% by students.
The Influence of School Environment and Teacher Communication on Economics Teacher Competence in Jambi Province
Authors: Pudjaningsih Wiwik , Rustantono Hendra , Nurpeni Nurpeni , Budiyono Herman , Hutabarat Zuhri Saputra , Nor Baseran , Taufan Ade
Published: October 2023

This study aimed to analyze the effect of the school environment and teacher communication on the competence of economics teachers. The study used quantitative research design approach by using a survey model. The participants in this study were 142 teachers from public and private vocational high schools in Jambi Province and and using the Slovin formula to represent the entire population of 264 teachers. Furthermore, the data were analyzed using exploratory factor analysis, confirmation of theoretical factor analysis, and structural equation modeling. The findings in this study the school environment, teacher communication, and teacher competence can understand students by utilizing the principles of student cognitive development so that teachers can understand student personality development and reflect on it in the learning process, helping teachers to have the opportunity to apply material learning theories to daily life activities, and broaden the ideas and thoughts that the teacher has to students so that students understand the learning material provided.  The conclusion in this study is that learning in the school environment, teacher communication, and good teacher competence can increase understanding, interest, make student learning more enjoyable, and direct student learning activities to be more active.
The Effect of Entrepreneurship Education on University Students’ Entrepreneurial Intention
Authors: Astuti Reni Dwi , Anindya Putri Nurul Fadhilla
Published: October 2023

This research was conducted to determine the effect of entrepreneurship education on the entrepreneurial intentions of university students, both directly and through the Theory of Planned Behavior component. The variables in the study include entrepreneurship education, attitudes, perceived behavioral control, subjective norms, and intentions. The research begins with the preparation of a questionnaire to measure all variables. The population consists of Faculty of Economics and Business Ahmad Dahlan University undergraduate students who have taken entrepreneurship courses, with 243 respondents. The method used is multiple linear regression and path analysis. The tests carried out included reliability and validity tests; regression coefficient calculations; and testing the significance of the influence of each variable, both directly and indirectly.  The study results showed that entrepreneurship education has a positive and significant direct effect on entrepreneurial intentions and indirectly affects entrepreneurial intentions through perceived behavioral control variables. Thus, the quality of learning needs to be improved so that students' entrepreneurial intentions also increase.
Exploring the Impact of Post-Pandemic Learning Strategies on University Students’ Engagement and Academic Achievement
Authors: Jihan Jihan , Mamonto Samuel , Fatmawati Endang , Darmo Ika Suhartanti , Muchtar Muas
Published: October 2023

In the context of campus-based education, this study aims to investigate how post-pandemic learning strategies affect students' levels of engagement with their coursework as well as their overall academic performance. In this study, a quantitative approach is taken, and the participants are students in an English language education study program in the city of Palu who take a campus-based learning approach to their education. The type of research is correlational and non-experimental.  Google Forms and other similar online survey distribution and gathering platforms facilitate this process. The results showed that the adoption of post-pandemic learning strategies that were inclusive and adaptive had a positive impact on student engagement, and post-pandemic learning strategies that were inclusive and adaptive had a positive impact on their academic achievement. In addition, post-pandemic learning strategies also indirectly affect student academic achievement through student involvement. This research provides recommendations for the development of post-pandemic learning strategies that are more inclusive and adaptive in campus-based education to increase student engagement and academic achievement.
Implementation of Multicultural Education at Boarding School: Comparative Study
Authors: Tamyiz Tamyiz , Ibrahim Duski , Munir Munir
Published: October 2023

This study aims to describe and analyze the differences in the implementation of multicultural education at the Hidayatul Mubtadiin Islamic Boarding School in Sidoharjo and the Al-Ishlah Sukapeace Islamic Boarding School. This study uses a qualitative approach. The data collection using observation, interview and documentation techniques. Meanwhile, for data analysis using three flow of activities, namely data reduction, data presentation and drawing conclusions. This study found that first, the implementation of multicultural education in both Islamic boarding schools was good, as seen from the role of the pesantren leaders. Second, the implementation of multicultural education at the Hidayatul Mubtadiin Sidoharjo Islamic boarding school with a cultural assimilation approach in the seven mottos of students, while the Al-Ishlah Islamic boarding school uses a self-development approach and self-development through formal and non-formal activities.
Complex RGB spatial light modulation with a dual-layer in-plane switching liquid crystal panel
Authors: Jang Seong Woo , Ham Sangwon , Choi Wonwoo , Ju Byeong-Kwon , Kim Hwi
Published: October 2023

Complex RGB spatial light modulators are required to produce full-color holographic displays. In particular, complex spatial light modulation, which modulates the amplitude and phase of incident light is essential for noiseless dynamic computer-generated hologram synthesis. The feasibility of full-color holographic image generation through the dual-layer in-plane switching liquid crystal plane is theoretically validated and experimentally demonstrated.
Effects of low-temperature annealing on net doping profile of Mg-ion-implanted GaN studied by MOS capacitance–voltage measurement
Authors: Luo Yuliu , Hatakeyama Yuki , Akazawa Masamichi
Published: October 2023

Effects of long-term low-temperature cap annealing on the net doping profile of Mg-ion-implanted GaN were studied using MOS structures before activation annealing. Mg ions were lightly implanted into n-type GaN to maintain the n-type conduction. Various cap-layer materials, i.e. Al2O3, SiN, SiO2 and capless, for low-temperature annealing were examined. Doping profiles were derived from capacitance–voltage (C–V) curves. Before 600 °C annealing, negatively charged defects were distributed on the shallower side of the detection depth range, whereas positively charged defects existed on the deeper side. Upon 600 °C annealing, however, the doping profile changed toward a flat shape regardless of the cap-layer material used during annealing. The observed profile change was likely caused by the diffusion of defects. Detailed analyses of C–V characteristics showed that the highly likely cause of the observed phenomena is the diffusion of Ga and N interstitials.