bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Sintak Model Pembelajaran Pendidikan Agama Islam Integratif di SMP IT Qurrata A’yun Batusangkar
Authors: Herawati Susi , Sesmiarni Zulfani , Pebrina Rizki , Susrizal Silvia , Trisoni Ridwal , Khairat Annisaul , Eliwatis Eliwatis , Maimori Romi
Published: December 2023

This research is motivated by the lack of integration of Islamic Religious Education (PAI) Subjects with general subjects at school. To overcome this problem, it is necessary to design an integrated learning model for PAI subjects with general subjects. For this reason, the purpose of this study was to produce a valid and practical syntax for an integrative PAI learning model with natural science at SMP IT Qurrata A’Yun Batusangkar. This study is Research and Development with the ADDIE model which consists of analysis, design, development, implementation, and evaluation stages. This instruments used to collect data in this study were validation sheet, questionnares and observation sheets. Data analysis was performed using the Aiken Validity index criteria. Based on the research result, the Syntax of the Integrative PAI learning model at SMP IT Qurrata A’Yun Batusangkar was developed referring to the integrative approach model between subjects with a validity test result of 0.79 in the valid category and a practicality test result of 0.84 in the practical category.
IMPLEMENTATION OF CHLB IN PERSONAL HYGIENE TREATMENT AND SCABIES EXAMINATION AT NAHDATUL ULAMA ISLAMIC BOARDING SCHOOL SITI AISYAH MARTAPURA
Authors: Mahdalena Mahdalena , Mahpolah Mahpolah , Ilmi Bahrul , Junaidi Junaidi , Irfai Irfai , Suroto Suroto , Khair Abdul , Barkinah Tut , Dewi Dwiyanti Ratih , Amperawati Metty , Nurhamidi Nurhamidi , Faturrahman Faturrahman
Published: December 2023

ABSTRAK

Perilaku hidup bersih dan sehat (PHBS) merupakan faktor utama penentu status kesehatan masyarakat pesantren (pimpinan pesantren, ustadz/ustadzah, santri, pegawai lainnya di pesantren). Pentingnya menerapkan PHBS bagi masyarakat pesantren juga sesuai dengan amanat dari Undang-undang No. 36 Tahun 2009 tentang Kesehatan (Pasal 11) yang menegaskan bahwa setiap orang berkewajiban berperilaku hidup sehat untuk mewujudkan, mempertahankan, dan memajukan kesehatan yang setinggi-tingginya.

Kegiatan pengabmas ini mengharapkan santriwati berperilaku hidup bersih dan sehat khususnya dalam perawatan kebersihan diri, perawatan gigi dan mulut serta mencegah scabies. Metode yang dilakukan adalah pelayanan kesehatan,  pendidikan dan latihan kesehatan.

Hasil kegiatan pengabmas melalui Skrining gejala klinis didapatkan 21 santriwati mempunyai gejala klinis scabies. Hanya sedikit Santriwati yang berPerilaku Hidup Bersih dan Sehat, karena hampir separo yang masih berpengetahuan kurang tentang kebersihan diri. Perawatan Kesehatan gigi dan mulut para santri banyak yang baik. untuk  Bagi santriwati, agar selalu menjaga kesehatan dan selalu menjalankan PHBS setiap saat, serta segera memeriksakan kesehatan ke pelayanan kesehatan jika mengalami gejala klinis scabies. Petugas kesehatan hendaknya secara teratur, regular melakukan pelayanan kesehatan dan membina UKS yang ada di Pondok Pesantren kesehatan para santriwati selalu terpantau.

 

Kata Kunci : Ponpes, PHBS, Scabies
Intelligent Inspection Method for Photovoltaic Modules Based on Image Processing and Deep Learning
Authors: Li Tengda , Hua Min , Li Qin
Published: December 2023

The photovoltaic industry is a key strategic initiative in achieving carbon neutrality and emission peak and receives national support as a sunrise industry. The solar cell module is the central part of a solar power generation system, and its production quality and cost have a direct impact on the overall quality and cost of the system. The EL quality inspection is crucial for ensuring the quality of PV modules. However, traditional methods of EL quality inspection, such as manual inspection or machine vision inspection, are found to be inefficient, prone to false detections, and expensive in terms of labour costs. Additionally, these methods may lead to secondary damage to PV modules due to human intervention during the inspection process. Therefore, this paper proposes an intelligent inspection method for PV modules based on image processing and deep learning to improve the efficiency and accuracy of EL QC. The method pre-segments module images using EL image data acquisition and pre-classifies module types based on a priori defect types and then performs secondary detection of defective types of PV module defects using Faster RCNN. The proposed method’s effectiveness was verified by the EL images collected from an actual PV module production line. The algorithm model was able to label over 12 common defects with strong reliability and achieve a detection accuracy of over 98%. This greatly improves the efficiency and accuracy of EL detection of PV modules and reduces labour costs while improving the quality of PV module detection.
Research on the Intelligent Operation and Maintenance Control System of Power Distribution Network Based on Big Data Technology
Authors: Tian Zhifeng , Xi Shiwen , Wen Yujing
Published: December 2023

Rewriting: With the acceleration of China’s urbanization construction, the coverage of the power distribution network is expanding day by day, and the operation and maintenance management work is facing increasing pressure. In order to improve the intelligent level of the operation and maintenance management of power distribution network, a set of intelligent operation and maintenance control system of power distribution network based on big data resources is specially designed. The system integrates a large amount of data resources generated by the substation equipment in the operation state, providing more effective data support for the operation and maintenance management work, so as to improve its intelligence level.
Automated Security Policy Feasibility Assessment
Authors: Wang Yunfan , Ye Wenhao , Li Ning , Pan Liurong
Published: December 2023

Security policy feasibility assessment is to evaluate the ability of the implemented policy to resist threats, fix system vulnerabilities, etc., whether it is in the user’s acceptable range, and also a measure of security and cost balance. There has been outstanding progress in the current research on automated security policies, and the implementation and application of various security policies are progressing well, but we should pay more attention to security policy effectiveness, which better reflects the risks and the scope and degree of risks accepted by the existing system. However, in many security policy evaluations, there is basically no comprehensive evaluation of existing security policies, and more often the existing vulnerabilities and the degree of risk after being threatened are presented, without quantitative and qualitative feasibility assessment. Based on the existing security policy evaluation methods, a method for assessing the feasibility of automated security protection policies is introduced.
Hazard Identification and Risk Assessment of Intelligent Robots Based on Virtual Reality
Authors: Liu Xia , Luo Hongqi , Chen Qianwen , Wang Kunran
Published: December 2023

Due to the difficulty in collecting injury cases in the actual life of intelligent service robots, it is impossible to use existing product injury information to construct injury scenarios required for risk assessment. Based on a large number of consumer and expert questionnaires, potential hazards of intelligent service robots have been preliminary identified, mainly including small component water bombs, laser radiation, and kinetic energy hazards. Using virtual reality (VR) experiments to verify and confirm the sources of harm, in order to enhance the scientific determination of product safety injury probability and severity, the weight method is used to assign different weights to the probability and severity of injury occurrence. VR experiments account for 0.4, consumer research accounts for 0.3, and expert research accounts for 0.3. Combined with matrix method, the safety risk level of the product is calculated as serious risk.
Research on Path Planning of Improved RRT Algorithm Under Narrow Channel
Authors: Liu Yue , Zhao Zhiwei , Wang Hong , Ge Chao
Published: December 2023

In complex environments where narrow passageways exist, there are problems such as low success rate of path finding in the path planning of mobile robots based on the traditional fast expanding random tree (RRT) algorithm. To address the above problems, an RRT algorithm for autonomous narrow channel finding is proposed, using an entrance finding algorithm to identify the entrance of the channel and a bias strategy to rationalize the sampling point selection to improve the success rate of path planning. In addition, a greedy algorithm is introduced to optimize the initial path and improve the quality of the planned path. Through experiments, it is shown that the proposed algorithm improves 59.6%, 56%, 9.3%, and 40% in four aspects compared with the RRT algorithm with bias in narrow channel environment in terms of iteration time, number of iterations, path length, and path planning success rate, respectively.
Research on Path Planning of Railway Freight Car Bottom Inspection Robot Arm Based on Improved RRT
Authors: Li Chao , Hui Jizhuang , Wang Yafei
Published: December 2023

Aiming at the problems of densely distributed parts, long detection time and low path efficiency of traditional path planning RRT algorithm (Rapidly Exploring Random Tree) in detecting the bottom of railway freight car, an improved RRT path planning method is proposed to improve detection efficiency. Firstly, the end of the manipulator is kept a certain distance from the target to be detected by improving the random point extension time choice strategy, so as to ensure the safety of the detection process so as to make the detection processes safer; Then, on the basis of adding target bias, the path search method at the starting and ending points of the random tree was optimized, so that the path search process was concentrated in the center of the path; Finally, redundant nodes are removed from the searched path to shorten the planned path. Simulations were conducted on MATLAB and VREP platforms, and the results showed that the improved RRT path planning algorithm was more helpful than traditional RRT algorithms and could effectively complete detection tasks.
Water Pollutant Classification Method Based on Multi-Class Support Vector Machine
Authors: Liu Hengming , Wang Yuwen
Published: December 2023

Aiming at the problem of water pollution classification, a water pollutant classification method based on multi-classification support vector machine is proposed. By constructing and optimizing the coding matrix, a classification coding table and decoding table are formed, and SVM sub-classifiers are used for data classification. The classification experiment was carried out on the measured water quality data of the sewage treatment plant. The results show that, compared with other traditional classification methods, this method has a higher classification accuracy rate, greatly reduces the number of sub-classifiers required, and improves the classification efficiency.
A Fishing Detector with Attentional Mechanisms
Authors: Wang Yanli , Wang Li , Sun Shiwen
Published: December 2023

The threat posed by phishing scams to Ethereum’s security has grown significantly with the advancement of blockchain technology. As a result, the detection of phishing scams has emerged as one of the most prominent research areas in the field of blockchain. Most existing studies represent transaction information as a static subgraph and employ random walks to extract potential user features. However, real-world graphs often exhibit dynamic behavior and evolve over time. To address these challenges, we introduce a novel approach called Dynamic Weighted Node Classification (DWNC). In this approach, we partition transaction records into multiple temporal snapshots based on time. We then capture the structural and temporal characteristics of the nodes using the structural aggregation module and the time aggregation module, respectively. Finally, we leverage the learned features for classification purposes. The proposed DWNC method demonstrates superior performance in classification, as evidenced by its evaluation on nine benchmark and Ethereum datasets.
Morphology and Transformer-Based YOLOv5 for Workpiece Surface Crack Detection
Authors: Ren Xinghua , Hu Shaolin , Hou Yandong , Ke Ye
Published: December 2023

The surface crack of the workpiece is similar to the background and the background is complex. In the detection process, problems such as missed detection, false detection, and difficulty in detection are prone to occur. To solve the above problems, this research proposes a workpiece surface crack detection technique based on morphology and improved YOLOv5. To improve the ability of the model to extract global information, the erosion method in morphology is used to improve the crack feature of the data set. Next, the global and local information in the YOLOv5 backbone network is fused by MobileViTv3. And finally, SIoU is used as the loss function of the bounding box regression to improve the accuracy of the bounding box localization. After comparative experiment verification, the designed model achieves 73.1% and 74.6%accuracy on the original and corrosion datasets, respectively. Accuracy of the model improves by 13.6% and 15.1%, respectively. The results of the example experiment show that the method proposed in this paper has a good detection effect, realizes the accurate detection of cracks on the device surface. And it provides a novel idea for using deep learning to detect cracks in real scenes.
Task Allocation Mechanism of UAV
Authors: Zhou Jian , Cheng Qianqian , Wang Shuijie
Published: December 2023

In the past few decades, as a prominent representative of the third generation of intelligent robots, drones have taken the lead in developing from single task to multi machine collaborative work. Research has shown that using multiple drones to search for target areas can expand the search field, improve the efficiency of drones in completing tasks, reduce energy consumption during flight, and reduce environmental instability. Thus, high-precision positioning can be further carried out to improve the target hit rate. However, clustered drones also face some new challenges, such as the robustness of multi-agent topology, real-time performance of online perception mechanisms, reliability of information exchange, and loose coupling of collaborative systems. The method proposed in this paper improves the problem that the traditional Ant colony optimization algorithms is easy to fall into the local optimum and the Rate of convergence is slow. The obstacle avoidance factor is added to the calculation formula of the state transition probability, and an improved Pheromone volatilization coefficient based on the Gaussian distribution is given, so that the Pheromone volatilization factor changes from a fixed value to an adaptive value that changes with time, which makes the path obtained by the algorithm better and greatly speeds up the Rate of convergence of the algorithm. In this system, all UAVs can share their original data through direct communication between them. Even if one UAV fails, the whole task will not be affected.
Target Tracking Algorithm Based on Hybrid Attention Unification Framework
Authors: Li Xiaoyu , Dai Xiao , Wang Dan
Published: December 2023

In this paper, we propose a compact tracking framework built on top of Transformer. Our core design utilizes both attentional and convolutional operations and proposes a hybrid attentional module for simultaneous feature extraction and fusion of feature information between the target and the search image. This simultaneous modeling scheme allows the extraction of detailed features of the target and the fusion of features between the template and the search area. We use an attention mechanism with deep convolution to enhance the local attention to the target, as a way to ensure that the tracker achieves a balanced global and local attention for visual image target tracking. The experimental results show that the proposed method surpasses most of the mainstream trackers, and the operation speed achieves the real-time requirement with guaranteed accuracy.
An Improved Collaborative Filtering Recommendation Algorithm Based on Clustering Optimization and Interest Migration
Authors: Ren Qingqing , Liu Hualing
Published: December 2023

The collaborative filtering technique is widely used in recommendation systems across a variety of fields. However, it faces problems such as data sparsity and user interest drift, making it difficult to generate high-quality recommendations. In this paper, we use a Fuzzy C-Means clustering algorithm that combines item attributes to cluster items, add a time weight factor to the similarity calculation based on the Ebbinghaus forgetting function, and then find the nearest neighbor set by applying an improved similarity formula to generate recommendation results. The empirical results show that: (1) the Fuzzy C-Means clustering algorithm used in this paper that combines item attributes can effectively improve the recommendation results, and is able to find a more accurate nearest neighbor set compared to traditional methods; (2) The improved time weight function based on the Ebbinghaus forgetting function can adjust the weights of items at different times, which can effectively improve the problem of user interest drift.
Assessing the Global, Regional, and National Impact of High Body Mass Index on Alzheimer’s Disease and Other Dementias Between 1990 and 2019
Authors: Hao Ning , Bai Xue , Hu An , Zhao Gaofeng , Chen Yansheng , Zhao Jianhe , Ling Qiong , Li Xiangyu , Cai Chuipu , Wang Qi , Wang Zhaojun , Fang Jiansong
Published: December 2023

Background: Obesity significantly increases Alzheimer’s disease (AD) and dementia risk. Understanding the link between a high body mass index (BMI) and these conditions is crucial for effective management and prevention. Objective: We aimed to estimate the burden of AD and other dementias attributed to high BMI from 1990 to 2019 based on sex, age, and socio-demographic indicators (SDI) at global, regional, and national levels. Methods: We collected data on deaths, disability-adjusted life years (DALYs), age-standardized mortality rates (ASMR), and age-standardized DALY rates (ASDR) from the 2019 Global Burden of Disease study for AD and dementia attributed to high BMI. We explored the correlation between SDI levels and ASDR. Results: In 2019, there were 198,476.2 deaths (95% UI: 32,695.4–593,366.4) and 3,159,912.4 DALYs (848,330.5–8,042,531) attributed to high BMI. Numbers of deaths, DALYs, ASMR, and ASDR increased since 1990. Females had higher deaths, ASMR, and ASDR than males. Mortality and DALYs rates increased with age. ASMR and ASDR increased across five SDI levels, with the highest rise in Low-middle SDI. High-income North America had the most deaths [30,993.9 (5,101.7–89,912.9)], while North Africa and the Middle East had the highest ASMR [4.61 (0.79–13.64)] and ASDR [72.56 (20.98–181.16)] in 2019. Conclusions: The burden of AD and other dementias attributed to high BMI increased since 1990 globally and is still heaviest in developed regions. Females accounted predominantly for the burden than males. Timely measures are needed to against high BMI.
Effect of shielding of eddy current probes on the sensitivity for sweep frequency measurements
Authors: A.R. Arjun , Sasi B. , Kumar Anish
Published: December 2023

Eddy current measurements are prone to edge effects when measurements are carried out near a sample boundary. In order to reduce these edge effects, typically ferrite shields are used which constrain the magnetic field within the shield volume. However, their effects on sensitivity towards changes in conductivity for Sweep Frequency Eddy Current (SFEC) measurements have not been investigated. A 2D axisymmetric Finite Element Model (FEM) has been developed to predict the frequency response of impedance of SFEC probes. The model predicted that the addition of shields minimized edge effect but with reduced sensitivity. A simulation study is carried out to optimize the probe design to increase the sensitivity of shielded ferrite probes. Based on these results, a probe is constructed with a custom ferrite shield and its shielding efficiency and probe sensitivity are compared experimentally with those for the probe with conventional ferrite shields.
Multiple vascular malformations in a newborn
Authors: Krcho P. , Derco J. , Juhas M. , Donn S.M.
Published: December 2023

We describe the case of a term newborn who presented with congenital testicular torsion at 10 hours of age. During the evaluation of this problem, additional malformations were encountered. Diagnostic and therapeutic considerations are addressed.
“Healing is having faith in Allah, the healer, and the medicine”: An exploratory qualitative study of Islamic-based healing practices in Northern Ghana
Authors: Kwame Abukari , Mananu Baba
Published: December 2023

Faith-based healing practices are becoming widespread in Ghana. Charismatic churches, traditional healers, and Mallams provide healthcare services for multitudes nationwide. However, these faith-based healers' guiding philosophies and healing practices are less known. This ethnographic study explores Islamic healing, medical perspectives, therapeutic practices, and how the Dagomba traditional practices and culture influence this medical system. Data were collected from six Islamic-based healers through in-depth individual interviews using a semi-structured interview guide. Thematic analysis was employed, and results are reported narratively. The study discovered that religious and faith-based healing practices, including Islamic-based healing, are rising in Ghana. Practitioners of Islamic-based healing among the Dagomba observe that having faith in Allah and trust in His healing powers is the foundation of health. Islamic principles of faith and the Dagomba health beliefs determine these healers’ medical therapy and healing practices. The study found that rituals and sacrifices are significant healing practices with specific gendered perspectives. Spirituality is perceived as both an illness-causal factor and a healing tool. We invite further research to identify the prospects, constraints, and therapeutic possibilities Islamic healing holds for Ghana’s integrative medical system_._
Peran Guru PAI Dalam Mengembangkan Sumber Belajar PAI di SMP Negeri 2 Rejang Lebong
Authors: Mutiara sendi Okni aisa , Karolina Asri
Published: December 2023

Learning assets become the fundamental wellspring of learning in the execution of educator learning plays a significant part in the achievement of learning. The reason for this study needs to discover how the job of PAI instructors in creating PAI learning assets in SMP Negeri 2 Rejang Lebong. The strategies utilized subjectively by information assortment through talk with methods, perceptions and documentation and broke down utilizing miles et al approach are information decrease, information show and end withdrawal. This examination inferred that the job of PAI educators in creating PAI learning assets in SMP N 2 Rejang Lebong is by overseeing classes planning learning as per the metari to be instructed. Different learning assets will be utilized in the learning system adjusted to the material to be conveyed. Learning assets like printed books, modules, lks, pictures, then, at that point, it can likewise be with ecological items in schools, trees, or other plants.the utilization of instructor handbooks, lks, modules, existing books, mosques or mosques, then, at that point, school and educator conditions, online books or diaries, recordings, pictures, films that will give material. The learning media utilized in creating PAI learning assets in SMP Negeri 2 Rejang Lebong is the utilization of powert focuses, sound, pictures, banners, cardboard, radio, film, video.
Sistem Pembelajaran Moving Class Sebagai Upaya Dalam Meningkatkan Motivasi Belajar Peserta Didik
Authors: Hasnadi  , Nurmalina
Published: December 2023

Salah satu strategi untuk menumbuhkan motivasi belajar peserta didik adalah melalui penerapan sistem pembelajaran moving class. Dalam sistem pembelajaran moving class, peserta didik berpindah-pindah ruang kelas ketika pertukaran jam belajar setiap bidang studi. Perbedaan ruang kelas dan suasana kelas  dapat membuat peserta didik tidak jenuh sehingga motivasi belajar peserta didik diharapkan dapat meningkat. Tujuan penetian ini adalah untuk mendeskripsikan penerapan sistem pembelajaran moving class sebagai upaya untuk meningkatkan motivasi belajar peserta didik pada SMP Negeri 1 Kuala Kabupaten Bireuen. Penelitian ini menggunakan metode deskriptif kualitatif. Subjek penelitian meliputi kepala sekolah, guru bidang studi dan peserta didik. Pengumpulan data dilakukan dengan cara observasi,  wawancara, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa suasana kelas setiap bidang studi memiliki perbedaan dan nyaman serta menyenangkan dalam belajar. Guru dapat mendesain suasana kelas semenarik dan senyaman mungkin sesuai kondisi, kebutuhan dan materi yang diajarkan. Peserta didik merasa lebih senang dan antusias dalam proses belajar mengajar. Hal ini berdampak pada peningkatan motivasi belajar sehingga meningkatnya hasil belajar peserta didik dan mutu pendidikan di sekolah.
A vonásrendszer javítási állandóinak aktualizálása a tábori tüzérség tűzvezetési számításaihoz
Authors: Andóczi-Balogh András Ádám
Published: December 2023

A Magyar Honvédség tüzérsége a Honvédelmi és Haderőfejlesztési Program keretén belül új tüzérségi eszközöket szerez és szerzett be, amelyek a 6400 vonásos rendszert alkalmazzák. A tüzérség számára a tűzvezetés során a vonásrendszerek pontossága nem megfelelő, így javítási állandókat használnak a mért szög vagy méterben megadott értékek (távolság, magasság, szélesség) számítási pontosságának növelésére. Ezeket elsősorban a tűzvezetés során kell alkalmazni, főként célok méreteinek és magasságkülönbségeinek pontosítására, illetve olyan tűzfeladatok során, amelyeknél az alkalmazott adatok pontossága kihat a további tűzfeladatok pontosságára. Az új, beszerzett és jövőben beszerzendő tüzérségi eszközök kivétel nélkül a 6400 vonásos rendszert alkalmazzák. Ezért a tüzérség tűzvezetési eljárásait, alkalmazott képleteit frissíteni kell ehhez a rendszerhez. Ennek egyik első lépése, hogy új, ehhez a rendszerhez kiszámított, megfelelő pontosságú javítási állandókat mutassak be, amelyekkel nem kell új számításokat, eljárásokat bevezetni, hanem elég az eddigieket aktualizálni. Ezáltal egyszerűsödik a 6400 vonásos rendszerre való átállás a tűzvezetési számítások során.
Deneysel Şizofreni Modelinde Bilişsel Fonksiyonlar ve Hipokampal Sinaptofizin Düzeylerinin İncelenmesi
Authors: ERMİŞ Erkan , KOÇ Cansu , MERGEN Hilmiye Şule , MAKİNECİOĞLU İbrahim , VURAL Ayşe Pınar , CANSEV Mehmet , GÖKTALAY Gökhan , ERAY ÇAMLI Şafak
Published: December 2023

Şizofreni pozitif, negatif ve bilişsel belirtiler ile seyreden kronik bir beyin hastalığıdır. Bilişsel belirtiler hastalığın prodromal döneminden itibaren gözlenebilmektedir. Bu çalışmanın amacı irkilme refleksininin ön uyaran aracılı inhibisyonu (ÖUAİ) ile oluşturulan deneysel şizofreni modelinde sıçanların bilişsel fonksiyonlarını ve hipokampal presinaptik proteinlerden sinaptofizin düzeylerini araştırmaktır. Çalışmada 30 adet erkek Wistar türü sıçanlar bazal ÖUAİ ölçümüne tabi tutulmuş ve bu değerlere göre düşükten yükseğe sıralanmıştır. İlk 10 sıçan “düşük” ve son 10 sıçan “yüksek” inhibisyonlu grup olarak ayrıldıktan sonra 5 gün boyunca Morris Su Tankı (MST) testine tabi tutulmuştur. Testin bitiminde sıçanlar sakrifiye edilerek hipokampus bölgeleri eksize edilmiş ve hipokampal presinaptik proteinlerden sinaptofizin Western Blot yöntemiyle analiz edilmiştir. Sonuçlara göre her iki grubun öğrenme düzeyleri arasında fark bulunmaz iken ve hafıza fonksiyonlarının platform alanından geçme sıklığı (p
Job Satisfaction and Performance: The Impact of Interpersonal Communication, Placement and Self Efficacy
Authors: Andary Nur Afifah  , Meylani Tuti
Published: December 2023

Employee work happiness may be influenced by self-efficacy, interpersonal communication, and job placement, which in turn increases performance. The goal of this study was to examine how work placement, interpersonal communication, and elf effectiveness affected job performance and satisfaction. Employees of the National Police Headquarters SSDM made up the study's sample. Simple random sampling was used to collect samples from the 151 employees from several division who agreed to complete a questionnaire. A structural equation model (SEM) employing smart PLS software is used in the analytical procedure. The study's findings indicate that self-efficacy and interpersonal communication have a substantial impact on job satisfaction and performance. The significance of confidence and interpersonal communication in achieving employee job satisfaction to produce maximum performance.
Application of Technology Adoption Model through Utilitarian Information in Ruang Impian Marketing Program
Authors: Putri Andari Dhea Almyra , Marsasi Endy Gunanto
Published: December 2023

Researchers examined a company engaged in interior design providing various facilities from artistry to furniture supplies. This study aims to propose a marketing program to evaluate the marketing carried out by companies through social media. This study used Observation, in-depth interviews, secondary company data, documentation, and descriptive qualitative research methodologies collection. This research resulted in an analysis of the proposal of the Ruang Impian program, a program to do marketing through social media. This program proposal is assisted by the theory of the Technology Acceptance Model with the concept of Utilitarian Information to help companies develop social media. It is hoped that the Technology Acceptance Model with the idea of Utilitarian Confirmation can help the company's marketing develop and become a force for DENTUUM.
Cycling Frequency Changes During the COVID-19 Pandemic in Canada’s Most Populous Urban Regions
Authors: Latanville Remington , Mitra Raktim , Winters Meghan , Hess Paul , Manaugh Kevin
Published: December 2023

We surveyed 2,066 residents of Toronto and Montréal and Vancouver-area municipalities to identify changes in self-reported cycling frequency from before to during the COVID-19 pandemic. Results indicate that 5% of people who were infrequent cyclists (less than once a week) became frequent cyclists (at least once a week) over the pandemic; these were more likely to be men, those aged 30-59 years, those living in more urban neighbourhoods, and those who felt that new cycling facilities provided better access to their usual and/or desired locations via active transportation.
Direct Current Sputtering Deposition of the Metallic Ceramic Ti3SiC2 Thin Film with Improved Hydrophobicity and Reduced Surface Energy
Authors:   Mindanao State University - Main, Marawi City, Philippines, Barra Hamdi Muhyuddin , Ramos Henry ,   University of the Philippines – Diliman, Quezon City, Philippines
Published: December 2023

Metallic ceramic compounds, such as Ti3SiC2, are innovative materials that combine the properties of metals and ceramics. However, most methods used in synthesizing these materials employ high deposition temperatures. Hence, in this work, Ti3SiC2 thin film was prepared and deposited on a steel sample without heating or biasing using a magnetized sheet plasma source. The synthesis was carried out by sputtering titanium, silicon, and graphite targets with Ar plasma at different deposition times of 60, 90, and 120 minutes. Energy dispersive X-ray (EDX) and X-ray diffraction (XRD) scans of the samples confirmed the synthesis of the desired compound. Moreover, the wettability and surface energy properties of the coated substrate were calculated by contact angle measurements. Results showed that as the deposition time increased, the coated substrate became more hydrophobic. Indeed, these findings show that Ti3SiC2 deposited steel substrate, with its increased hydrophobicity, is a potential self-cleaning coating for industrial tools.
No Longer in the Dark: Utilizing Imperfect Advance Load Information for Single-Truck Operators
Authors: Najafi Mehdi , Zolfagharinia Hossein
Published: December 2023

This study investigates how imperfect advance load information (IALI) can improve profits and other operational indicators, such as empty movements, for a single-truck company. To analyze the value of IALI, we first develop a deterministic mathematical model. Then, we propose a stochastic dynamic programming approach that can utilize IALI. After designing a comprehensive set of experiments, we employ both models using a dynamic implementation mechanism to assess the benefits of using IALI. Our statistical analysis reveals that (1) utilizing IALI can significantly improve a single-truck company’s profits, by as much as almost 30% on average, and (2) the impact of using IALI can be affected by other factors (e.g., network size). In another set of experiments, we examine the benefits of IALI in a new environment where there are two classes of shippers, high risk and low risk. The results suggest that the potential benefits can be even larger with two classes of shippers. Last, we collect data over two three-week periods for a single-truck company that operates in Ontario, Canada, and we apply our methods for evaluating the benefits of IALI.
Entre o Mistério e o Vivido: As Interpretações sobre a Natureza Amazônica nas Obras de Gastão Cruls
Authors: Cordeiro Matheus Villani Cordeiro , Andrade Rômulo de Paula
Published: December 2023

Este artigo analisa as representações textuais sobre a natureza amazônica nas obras do médico e escritor Gastão Cruls (1888-1959). O objetivo consiste em identificar como o escritor construiu em suas obras representações sobre a região amazônica, a partir dos diferentes contextos de produção e publicação, das experiências vivenciadas, leituras e impressões próprias sobre os processos que ocorriam no período. Selecionamos três obras, que julgamos serem essenciais para entender o pensamento de Gastão Cruls sobre a Amazônia: A Amazônia Misteriosa (1925); A Amazônia que eu vi: Óbidos – Tumucumaque (1930) e Hiléia Amazônia (1944). O romance A Amazônia Misteriosa marcou a ascensão do escritor no círculo literário nacional. A repercussão de seu romance e suas relações sociais o permitiram ingressar como climatologista no Serviço de Inspeção de Fronteiras, agência pela qual realizou sua primeira excursão pela Amazônia, entre o final de 1928 e início de 1929. Cerca de dez anos depois, em 1938, foi comissionado pelo Estado Novo para viajar novamente para a região com a intenção de escrever um livro inédito. As “Amazônias” de Gastão Cruls, seja a idealizada – quando o autor ainda não conhecia a região – ou experienciada, foram fundamentadas em um arcabouço de ideias consolidadas, que mesclaram-se com sua própria forma de descrever e representar as paisagens amazônicas. Portanto, a análise contribui para identificar as formas e estilos em como a região amazônica foi representada na literatura e no pensamento social brasileiro.
A Story of Whales and People: the Portuguese Whaling Monopoly in Brazil (17th and 18th Centuries)
Authors: Vieira Nina
Published: December 2023

In this work, the history of the whaling operation in Brazil during the 17th and 18th centuries is recovered. The activity was a monopoly of the Iberian (until 1640) and Portuguese crown, from 1614 to 1801, with economic, political, and ecological significance and impact both for the human and non-human protagonists.The abundance of whales and the valorisation of their products worked as drivers - environmental and economic - for the implementation and development of whaling in Bahia, Rio de Janeiro, São Paulo and Santa Catarina. In its duration, this coastal operation followed the ‘Basque-style’ style with the establishment of fixed whaling stations on land and capturing animals very close to shore. For a short period, sperm whales were captured offshore, using techniques characteristic of the ‘American-Style Shore’. The capture focused on coastal baleen whales, from which oil was produced and baleen plates extracted. Contrary to what was previously assumed, these two products were sent to Lisbon in very significant quantities and periodicity, which allows us a better understanding of their importance in the context of the Portuguese colonisation of the Americas and in a framework of ‘wet globalisation’.This marine extraction not only accompanied the processes of appropriation of the territory but was also a stimulus to promote them. It is argued here that whales played a role in providing a source of wealth for the Portuguese empire and in being an integral element in building relationships between people and the ocean.
Naturaleza y Recursos en el Proceso de Fundación de las Colonias Agrícolas Santafesinas
Authors: Leonardi Pablo Suarez
Published: December 2023

El artículo se propone realizar una primera aproximación desde la historia ambiental a un aspecto del proceso de implementación de las colonias agrícolas santafesinas iniciado en la década de 1850. En primer lugar, se intenta relevar la caracterización realizada por los algunos autores contemporáneos, viajeros pero también empresarios, agentes gubernamentales e intelectuales que impulsaban la política de colonización, a partir de su concepción del medio ambiente y los recursos naturales y las posibles transformaciones paisajísticas que se plantearon en consecuencia. Asimismo, se revisa literatura de la época en búsqueda de definiciones y análisis sobre tres recursos fundamentales: el suelo, la vegetación nativa y el agua, poniendo atención también en las intervenciones que los distintos actores involucrados en el proyecto colonizador realizaron sobre cada uno de ellos para llevar a buen término su empresa. Se analizan también las distintas propuestas de zonificación productiva que derivarían de los paisajes previamente existentes (praderas, bañados, bosques, etc.) y hasta de qué modo se transformarían para adaptarlos a los requerimientos del mercado mundial.
A Humanidade Avança e o Planeta Terra Encolhe
Authors: Drummond José Augusto
Published: December 2023

Book Review
Donald Worster. Shrinking the Earth – the rise and decline of American abundance. New York, Oxford University Press, 2016. 265p. ISBN 978-0-19-984495-1.
Evaluating Computer Science Students' Experiences and Motivation Towards Learning Artificial Intelligence
Authors: Alhur Anas , Alhur Arwa , Alhur Afrah , Almalki Kholod , Aljoudi Reem , Aloqla Huda , AlKayyal Sara , Almalki Mona , Alenazi Anoud , Almalki Aseel
Published: December 2023

This study investigates the experiences and motivations of Saudi Arabian computer science students (aged 18 and above) in their pursuit of knowledge in Artificial Intelligence (AI). It employs a cross-sectional design using web-based surveys. Findings indicate that students recognize AI's transformative potential in computer science and express a willingness to embrace it in their careers. However, confidence levels vary regarding using AI tools, understanding healthcare AI, and assessing AI's impact on computer science education. The study emphasizes the significance of intrinsic motivation, experiential learning, and pedagogical strategies like collaborative learning in AI education. Additionally, it underscores the importance of addressing gender and diversity considerations to create inclusive AI learning environments. In conclusion, this research provides valuable insights into computer science students' experiences and motivations in AI education. It offers practical implications for enhancing AI pedagogy, reducing barriers to learning, and promoting diversity and inclusivity in the AI field. Educators can empower students to navigate the dynamic AI landscape effectively by tailoring educational approaches to individual learner needs.
Testing Multiple Vocabulary Associations for Effective Long-term Learning
Authors: Al-Jarf Reima
Published: December 2023

This article aims to give a comprehensive guide to planning and designing vocabulary tests which include Identifying the skills to be covered by the test; outlining the course content covered; preparing a table of specifications that shows the skill, content topics and number of questions allocated to each; and preparing the test instructions. The test should meet several criteria as the instructions should be brief and clear; the questions should cover all kinds of skills, tasks and exercises covered in the classroom and textbook; the test items should require the students to perform tasks at the phoneme, grapheme, affix, word, phrase and paragraph levels. The questions should test student’s ability to think, apply, infer, connect, and synthesize information, not mere recall, and should not use exact sentences and examples from the textbook. The test should have as many production questions as possible. It should have adequate discrimination power; should be reliable and valid;  and should be a power and a speed test. In addition, the article describes the optimal test length, when to give the tests during the semester and the test duration. It describes the test paper format; how the tests are scored, marks allocated for each question type and whole test, using whole marks, not fractions; deducting points for spelling and grammatical mistakes. After scoring the answer sheets, the instructor returns the marked answer sheets to the students, shows the marking system and goes through the questions one by one, gives the correct answers and mentions the common errors. Follow-up issues such as calculating the test validity, reliability, and discrimination power, using the test results for diagnosing weaknesses and providing remedial work are given.  The effects of the proposed test model on learning outcomes and students’ views are also given.
Timeline Game
Authors: Monroe Caitlin
Published: December 2023

What events get included in historical narratives? Which ones get left out? Why? How might we encourage students to consider and debate these decisions while simultaneously making arguments about causation, the politics of knowledge production, power, and perspective? This article explores the use of a “timeline game” to help students articulate and develop historical argumentation skills. Students’ main objective in the game is to convince their classmates to vote for their groups’ chosen events, nominating them onto a “Final Timeline,” which includes the most “significant” events of the course’s history. Students argue for the significance of their chosen events in various ways including (but not limited to): articulating how it caused other events, how it represented important course themes, how it challenged dominant Eurocentric narratives, or how it shed light on a perspective otherwise obscured or hidden by the timeline’s main events thus far. Though designed for college-level African and Global history survey courses, the game could be adapted for a number of different classroom contexts and grade levels.
Yemi Bamiro, Yemisi Brookes, and Shianne Brown. Fight the Power: How Hip Hop Changed the World.
Authors: Viator Felicia
Published: December 2023

Review of Yemi Bamiro, Yemisi Brookes, and Shianne Brown. Fight the Power: How Hip Hop Changed the World. PBS, 2023. 4 episodes.
Do More History
Authors: Grybos Jonathan
Published: December 2023

Various data points seem to indicate that the U.S. is in a virtual Social Studies crisis. Although the problems stem from various factors, there are practical solutions to alleviate these issues that should be implemented. One realistic solution is to try and implement more Project-Based Learning into classrooms, especially for History and Social Studies. PBL is not the solution to all problems, but is a starting point from the ground up to possibly improve multiple literacies needed for active, engaged, and careful citizenship. At the very least, it is a fresh way for students to learn while doing meaningful and authentic work for the real world.
Pengaruh Beban Kerja, Lingkungan Kerja, dan Disiplin Kerja Terhadap Produktivitas Pegawai Dinas Pertanahan dan Tata Ruang Daerah Istimewa Yogyakarta
Authors: Indriati Inayat Hanum , Khasanah Aliffia Uswatun
Published: December 2023

The level of productivity attained in one's place of employment is critical to the accomplishment of goals set by an organisation as a whole. When working towards accomplishing the objectives of an organisation, employee productivity on the job is a critical component that must be taken into account. As a consequence of this, HRM is essential for the purpose of planning, acquiring, growing, regulating, and utilising HR in order to successfully reach good individual as well as organisational goals. The goal of this study was to determine the effect of employee workload, employee work environment, and employee work discipline partially on work productivity. The study also sought to determine the effect of employee workload, work environment, and employee work discipline simultaneously on employee productivity. A representative group of seventy staff members from the Department of Land and Spatial Planning (DIY). Collecting information by means of questionnaires and personal interviews. The methodology for the data analysis makes use of the multiple linear regression method. According to the findings of the research, employee productivity is affected in three different ways: first, by the workload; second, by the work environment; and third, by the simultaneous influence of all three factors on employee productivity. This study led to the conclusion that the work productivity of an employee will drop in proportion to the amount of work that is expected of him. On the other hand, it will grow in proportion to the quality of the work environment as well as the level of discipline that is demanded of him, and vice versa.
Techno-economic assessment of options for domestic water heating in the ecuadorian city of Cuenca
Authors: Campoverde-Prieto Cristian
Published: December 2023

INTRODUCTION. Homes in the Andean region of Ecuador, due to the relatively cold ambient temperature, require energy services such as hot water in a daily basis along the year. In that context, the preferred technologies used for such purpose run on LPG, mainly, due to its low cost as it is highly subsidized. This situation poses certain challenges for the energy policy of the country. OBJECTIVE. This case study aims to discuss more sustainable alternatives to obtain hot water for household use in the context of the Andean city of Cuenca. METHOD. Firstly, solar and meteorological data has been processed to characterize local conditions. Then, different technologies able to provide hot water have been simulated. Further, an economic analysis was performed to determine costs per unit of energy required. RESULTS. The use of subsidized LPG reduces the real cost of water heating between 47% and 72% depending on the daily levels of consumption. In the event of a subsidy removal, electric tankless water heaters, along with reduced electricity tariffs, become competitive for levels of consumption up to 120 liters per day. For higher levels of consumption solar thermal systems or heat pumps may become viable only when providing rebates DISCUSSION AND CONCLUSIONS. The presence of benefits of scale among levels of consumption need to be regarded when designing incentives for energy services such as domestic hot water.