bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Supply Chain Information Sharing Capability on its Performance: Mediating Role of Agility and Adaptability
Authors: Sharma Hemant 
Published: May 2024

Abstract

In the present turbulent market situation, building strategic information sharing (SIS) capability among the partner firms of a supply chain is imperative to create the agility and adaptability which further lead to the supply chain performance (SCP). In the available literature, combined role of agility and adaptability and their impact on SCP is poorly investigated. As a rapidly changing market environment requires the supply chains to be more responsive and flexible, supply chain agility and adaptability appear to be value-enhancing and contribute to its effectiveness. Following the resource-based views (RBV) and relational theory this study presents a model linking SIS capability, agility, and adaptability with SCP. A cross-sectional survey of 243 Indian auto component manufacturers was conducted to collect the data. The results reveal that SIS, agility, and adaptability are directly and significantly connected with SCP. This finding supports the prominently published studies. The main contribution of the study is unveiling the mediation effect of agility and adaptability on the SIS-SCP relationship. Results depict that agility and adaptability mediate the SIS-SCP relationship fully and partially respectively. The study also discusses the theoretical and managerial implications along with limitations and scope for future research.
A study of the effects of SiN treatment on the GaN refractive index
Authors: Chalabi Waten , Laifi Jihed , Bchetnia Amor , Tamzin  
Published: May 2024

Abstract

In the present study, both the GaN buffer layer approach and the sapphire SiN treatment method were used to develop GaN films by metalorganic chemical vapor deposition (MOCVD) on a c-plane (0001) sapphire substrate. The growth was controlled in situ by 632.8 nm laser reflectometry. The GaN-grown layer structure was investigated via high-resolution X-ray diffraction (HRXRD). The GaN structural properties improved upon SiN treatment. In addition, spectroscopic transmittance was used to determine the change in the bandgap energy of GaN upon SiN treatment. Spectroscopic ellipsometric (SE) data (ψ and Δ) acquired in the wavelength range 400–1700 nm, were analyzed using a multilayer approach. The extracted refractive indices were found to follow a Cauchy-type dispersion. Upon SiN treatment, there is a blueshift and a decrease in the refractive index. At 600 nm, the GaN refractive index decreases from 2.395 to 2.374. The SE refractive indices measurements agree with the spectroscopic reflectometry (SR) results.
Knowledge, Attitude and Practice of Breast self-examination among the Nursing students, UAE
Authors: Joseph Veena M. , Elmahdy Masani , Jakvani Sahar , Yusuf Shaikha , Saleh Hadil 
Published: May 2024

Abstract

Introduction
Breast cancer (BC) is one of the most common cancers and is the main cause of cancer-related deaths in women globally. Breast cancer awareness and early detection depend heavily on breast self- examination (BSE). It is an easy and economical procedure that enables people to keep track of their own breast health and possibly detect unhealthy changes in the breast tissue.
Objectives of the study
· To assess the knowledge on breast self-examination
· To determine the attitude towards breast self-examination.
· To assess the practice of breast self-examination
· To Correlate Knowledge, Attitude and Practice of breast self-examination
· To associate selected demographic variables with the knowledge and attitude of breast self-examination
Methods
A quantitative research approach with a descriptive cross-sectional research design was used to assess the knowledge, attitude and practice of breast self-examination among 100 nursing students studying in Gulf Medical Univerisity who were selected using the total enumeration technique.
Results
Sixty-seven percent of participants were found to have good knowledge of BSE, while the other 33% had poor knowledge. Fifty-four percent of participants had a positive attitude towards BSE. Only thirty-nine percent of them had practiced breast self-examination. The correlation analysis revealed a weak negative correlation with a Pearson correlation coefficient of -0.189, although the relationship was not statistically significant (p > .05).
Conclusion
This study revealed good knowledge and positive attitudes but poor practices of breast self-examination among the Nursing students. The necessity is to develop training programs that enhance awareness about the significance of practicing Breast self-examination (BSE).
Design and implementation of advanced Techniques in Synchronous Sequential Circuit Design
Authors: Chaturvedi Kushagra , Ramesh K B 
Published: May 2024

Abstract

This paper explores advanced techniques for optimizing efficiency in synchronous sequential circuit design. Synchronous sequential circuits play a crucial role in digital systems, and enhancing their efficiency is paramount for achieving higher performance and lower power consumption. We delve into the difference and the advantages of multiphase clocking over single phase clocking like reduced conductor size etc. state minimization techniques to a specific sequential circuit design reduced the number of flip-flops by 20%, leading to an estimated 15% reduction in power consumption and implementing clock gating techniques in a sequential circuit design resulted in a 30% reduction in dynamic power consumption during idle periods. Through comprehensive analysis and experimentation, we demonstrate the effectiveness of these techniques in improving circuit performance and reducing resource utilization. Our findings provide valuable insights for designers seeking to push the boundaries of efficiency in digital circuit design.
Negative Photo Conductivity Triggered with Visible Light in Wide Bandgap Oxide-Based Optoelectronic Crossbar Memristive Array for Photograph Sensing and Neuromorphic Computing Applications
Authors: Kumar Dayanand , Li Hanrui , Singh Amit , Rajbhar Manoj Kumar , Syed Abdul Momin , Lee Hoonkyung , El-Atab Nazek 
Published: May 2024

Abstract

Photoresponsivity studies of wide-bandgap oxide-based devices have emerged as a vibrant and popular research area. Researchers have explored various material systems in their quest to develop devices capable of responding to illumination. In this study, we engineered a mature wide bandgap oxide-based bilayer heterostructure synaptic memristor to emulate the human brain for applications in neuromorphic computing and photograph sensing. The device exhibits advanced electric and electro-photonic synaptic functions, such as long-term potentiation (LTP), long-term depression (LTD), and paired pulse facilitation (PPF), by applying successive electric and photonic pulses. Moreover, the device exhibits exceptional electrical SET and photonic RESET endurance, maintaining its stability for a minimum of 1200 cycles without any degradation. Density functional theory calculations of the band structures provide insights into the conduction mechanism of the device. Based on this memristor array, we developed an autoencoder and convolutional neural network for noise reduction and image recognition tasks, which achieves a peak signal-to-noise ratio of 562 and high accuracy of 84.23%, while consuming lower energy by four orders of magnitude compared with the Tesla P40 GPU. This groundbreaking research not only opens doors for the integration of our device into image processing but also represents a significant advancement in the realm of in-memory computing and photograph sensing features in a single cell.
Selecting lubricating oil for two-stroke gasoline engines: a multi-criteria decision-making approach
Authors: Mai Nguyen Trong , Thinh Hoang Xuan 
Published: May 2024

The two-stroke engine boasts advantages in terms of simpler manufacturing and a smaller size when compared to the four-stroke engine. Vehicles powered by two-stroke engines can thus effortlessly overcome road obstacles compared to their four-stroke counterparts. However, the use of a two-stroke engine results in higher carbon monoxide and hydrocarbon emissions than that of a four-stroke engine. This discrepancy places greater demands on the selection of lubricating oil for two-stroke engines compared to four-stroke engines. In market, there exists a multitude of lubricating oil options tailored for two-stroke engines, each characterized by varying technical parameters. These disparities are expressed through factors such as density, viscosity index, viscosity, and combustion temperature, among others. Consequently, the task of choosing the optimal lubricant becomes a complex endeavor for consumers. In this study, an examination of lubricant selection is presented using a Multi-Criteria Decision-Making (MCDM) approach. The MCDM method employed in this article is the Combined Compromise Solution (COCOSO) method. The selection of the best lubricant is based on an evaluation of four distinct types. Each type of oil is described by four key parameters (criteria): density, viscosity index, viscosity at 100 °C, and viscosity at 40 °C. The weights for these four criteria are determined through three different methods, including the Entropy method, Criteria Importance Through Intercriteria Correlation (CRITIC) method, and Standard Deviation (SD) method. Thus, the ranking of lubricants is conducted three times, corresponding to these three weighting methods. The results indicate that the best oil choice remains consistent regardless of the weighting method applied
Exploring Deep Learning Approaches for Ransomware Detection: A Comprehensive Survey
Authors: Gurumallu Prasanna Kumar , Dembala Rajeshwari , Gowda Darshini Yoge , Makanahalli Annaiah Ajay Kumara , Vasanth Kumar Manoj Kumar Muttyal , Gohel Hardik 
Published: May 2024

:
Ransomware, a form of malicious software originating from cryptovirology, poses a
serious threat by coercing victims to pay a ransom under the risk of exposing their data or permanently
restricting access. While basic ransomware may lock a system without causing harm
to files, more sophisticated variants utilize cryptoviral extortion techniques. The danger of ransomware
is significant, with ongoing discoveries of new strains and families on the internet
and dark web. Recovering from ransomware infections is challenging due to the complex encryption
schemes employed. The exploration of machine learning and deep learning methods
for ransomware detection is crucial, as these technologies can identify zero-day threats. This
survey delves into research contributions on the detection of ransomware using deep learning
algorithms. With deep learning gaining prominence in cybersecurity, we aimed to explore
techniques for ransomware detection, assess weaknesses in existing deep learning approaches,
and propose enhancements using those deep learning algorithms. Machine learning algorithms
can be employed to tackle worldwide computer security challenges, encompassing the detection
of malware, recognition of ransomware, detection of fraud, and identification of spoofing
attempts. Machine learning algorithms play a crucial role in assessing prevalent forms of cyber
security risks. They are instrumental in identifying and mitigating attacks, conducting vulnerability
scans, and evaluating the risks associated with the public internet. By leveraging machine
learning, computer defense mechanisms can effectively identify and respond to various cyber
threats. These techniques aid in fortifying systems against potential vulnerabilities and enhance
the overall security posture. Research in this field investigates the utilization of cyber training
in both defensive and offensive contexts, offering insights into the intersection of cyber threats
and machine learning techniques.
KESIAPAN SMK NEGERI DALAM IMPLEMENTASI KURIKULUM MERDEKA
Authors: Fatah Amir 
Published: May 2024

KESIAPAN SMK NEGERI DALAM IMPLEMENTASI KURIKULUM MERDEKA Amir Fatah, Kir Haryana, Yoga Guntur S,Muhammad Agung Wicaksono, Bahrul Ulum, M. Khoirunnashikin, Yohanes Kusyudi Setiawan, Musthafa Bintang Harapan, Dimas Bayu Permadi Yogyakarta State UniversityYogyakarta, Indonesiahttps://orcid.org/0000-0002-8995-8981 Penelitian ini merupakan penelitian survey yang dilakukan karena adanya kebijakan secara nasional yaitu pemberian tiga opsi kurikulum yang dapat diterapkan satuan pendidikan dalam pembelajaran, yaitu kurikulum 2013, kurikulum darurat, dan kurikulum merdeka yang sebelumnya dikenal dengan sebutan kurikulum prototipe. Survey dilakukan untuk mengetahui kesiapan guru dalam mengembangkan dan menerapkan kurikulum dari aspek pengetahuan terhadap hal hal baru pada kurikulum merdeka, pengetahuan dalam mengembangkan kurikulum dan pengetahuan dalam implementasi kurikulum. Pengumpulan data dilakukan menggunakan angket yang diperkuat dengan wawancara dan analisis data menggunakan metode deskriptif. Populasi penelitian adalah guru SMK se-Kabupaten Gunungkidul, sementara sampel penelitian difokuskan pada empat SMKN yang dipilih dengan pertimbangan tertentu (purposive sampling). Responden penelitian berjumlah 44 guru yang tersebar di empat SMKN non pusat keunggulan. Hasil penelitian menunjukkan kesiapan guru dalam implementasi kurikulum merdeka dari aspek pengetahuan terhadap hal hal baru pada kurikulum merdeka telah mencapai kategori tinggi, demikian halnya pengetahuan dalam mengembangkan kurikulum dan pengetahuan dalam implementasi kurikulum. Tingginya capaian tersebut sebagai hasil rencana implementasi kurikulum yang disusun dan dilaksanakan oleh Kemendikbudristek, sikap guru terhadap rencana implementasi, dukungan kepala sekolah, dukungan teman sejawat, ketersediaan pedoman dan peraturan implementasi, dan adanya motivasi guru. Penelitian juga menunjukkan bahwa kemampuan guru dalam mengembangkan modul ajar perlu ditingkatkan. Kata Kunci : Kesiapan, Implementasi, Kurikulum, Merdeka
PENGEMBANGAN MODUL PEMBELAJARAN SISTEM BAHAN BAKAR EFI TOYOTA AVANZA DI SMK MUHAMMADIYAH MLATI
Authors: Ikhsan Ikhsan , Rabiman Rabiman , Johan Arif Bintoro , Rentas Jhonni 
Published: May 2024

Penelitian ini bertujuan untuk mengembangkan modul sistem EFI dan mengetahui kelayakannya sebagai bahan ajar pada mata pelajaran PMKR kelas XI Jurusan TKR SMK Muhammadiyah Mlati Tahun Pelajaran 2021/2022. Penelitian ini merupakan jenis penelitian dan pengembangan atau RD. Desain penelitian yang digunakan pada penelitian ini yaitu model 4-D yang terdiri dari 4 tahapan, yaitu tahap pendefinisian, perancangan, pengembangan, dan diseminasi. Teknik pengumpulan data dilakukan dengan observasi dan lembar angket. Instrumen yang digunakan yaitu angket tertutup yang diajukan kepada ahli materi, ahli media, dan siswa sebagai responden. Teknik analisis data yang digunakan yaitu analisis kuantitatif untuk mengetahui persentase kelayakan modul. Hasil penelitian berupa sebuah modul yang memiliki spesifikasi: (1) Kata Pengantar, (2) Daftar Isi, (3) Daftar Gambar, (4) Peta Kedudukan Modul, (5) Isi, (6) penutup. Pengaturan modul: (1) Ukuran Kertas: A4 70gr, (2) Halaman Sampul: Hardcover, (3) Spasi: 1.5, (4) Margins atas: 4cm, kiri: 4cm, kanan: 3cm, bawah: 3cm. Hasil penelitian terhadap kelayakan modul oleh ahli materi memperoleh rerata skor 4,92 atau 98,32% dengan kategori sangat layak. Hasil penilaian kelayakan modul oleh ahli media memperoleh rerata skor 3,86 atau 77,24% dengan kategori layak, dan hasil penilaian modul oleh peserta didik memperoleh rerata skor sebesar 3,99 atau 79,97% dengan kategori layak. Sehingga modul Sistem Bahan Bakar Bensin EFI layak digunakan sebagai bahan ajar.
RELEVANSI KOMPETENSI TKRO SMK MUHAMMADIYAH KARANGMOJO DENGAN KOMPETENSI YANG DIBUTUHKAN INDUSTRI
Authors: Isnadar Rizaldi , Budiman Agus 
Published: May 2024

ABSTRACTThis study aims to determine: (1) the competence of Automotive Light Vehicle Engineering (TKRO) at SMK Muhammadiyah Karangmojo; (2) the competency needs of the APM business and automotive industry following the TKRO Skills Competency curriculum given by SMK Muhammadiyah Karangmojo; (3) the relevance of the TKRO competencies given at SMK Muhammadiyah Karangmojo to the needs of the business world and the APM automotive industry. This research is descriptive quantitative and qualitative research. The subject of this research is the Head of TKRO Expertise Competence at SMK Muhammadiyah Karangmojo and 5 respondents from 5 DU/DI automotive APM. Data collection techniques in this study used documentation, questionnaires, and interviews. The data analysis technique in this study used quantitative descriptive analysis with percentages. The results of this study indicate that: (1) competence in the curriculum of SMK Muhammadiyah Karangmojo TKRO expertise competence consists of 256 KD, (2) competencies required by DU/DI automotive APM consist of 238 KD meaning there are several KD that are not required by DU/DI APM, and (3) The relevance of the TKRO competencies given at SMK Muhammadiyah Karangmojo to the overall need for DU/DI APM is 82%, with details of 191 (75%) Basic Competencies in the very relevant category, 26 (10%) Basic Competencies in the relevant category, 21 (8%) Basic Competencies in the less relevant category, and 18 (7%) Basic Competencies in the irrelevant category. ABSTRAKPenelitian ini bertujuan untuk mengetahui: (1) kompetensi Keahlian Teknik Kendaraan Ringan Otomotif (TKRO) di SMK Muhammadiyah Karangmojo; (2) kompetensi kebutuhan dunia usaha dan industri otomotif APM sesuai kurikulum Kompetensi Keahlian TKRO yang diberikan SMK Muhammadiyah Karangmojo; (3) relevansi kompetensi TKRO yang diberikan di SMK Muhammadiyah Karangmojo dengan kebutuhan dunia usaha dan industri otomotif APM. Penelitian ini merupakan penelitian deskriptif kuantitatif dan kualitatif. Subjek penelitian ini adalah Ketua Kompetensi Keahlian TKRO SMK Muhammadiyah Karangmojo dan 5 responden dari 5 DU/DI otomotif APM. Teknik pengambilan data dalam penelitian ini menggunakan dokumentasi, angket dan wawancara. Teknik analisis data dalam penelitian ini menggunakan analisis deskriptif kuantitatif dengan persentase. Hasil penelitian ini menunjukkan bahwa: (1) kompetensi pada kurikulum SMK Muhammadiyah Karangmojo kompetensi keahlian TKRO terdiri dari 256 KD, (2) kompetensi yang dibutuhkan DU/DI otomotif APM terdiri dari 238 KD artinya terdapat beberapa KD yang tidak dibutuhkan oleh DU/DI APM, dan (3) Relevansi kompetensi TKRO yang diberikan di SMK Muhammadiyah Karangmojo dengan kebutuhan DU/DI APM secara keseluruhan sebesar 82%, dengan rincian 191 (75%) Kompetensi Dasar dalam kategori sangat relevan, 26 (10%) Kompetensi Dasar dalam kategori relevan, 21 (8%) Kompetensi Dasar dalam kategori kurang relevan, dan 18 (7%) Kompetensi Dasar dalam kategori tidak relevan.
EVALUASI UJI KOMPETENSI KEAHLIAN TEKNIK KENDARAAN RINGAN OTOMOTIF SMK DI KOTA YOGYAKARTA
Authors: Hardiyanta Rendra Ananta Prima , Wagiran Wagiran 
Published: May 2024

Penelitian ini bertujuan untuk mengevaluasi Uji Kompetensi Keahlian (UKK) Teknik Kendaraan Ringan Otomotif (TKRO) SMK di Kota Yogyakarta ditinjau dari aspek: (1) context, (2) input, (3) process, dan (4) product. Subjek penelitian ini yaitu 7 ketua kompetensi keahlian, 18 asesor, dan 23 guru produktif SMK negeri dan swasta di Kota Yogyakarta. Instrumen penelitian yang digunakan adalah pedoman observasi, pedoman dokumentasi, kuesioner, dan pedoman wawancara. Instrumen penelitian divalidasi melalui expert judgement. Validitas diperoleh dengan product moment sedangkan reliabilitas menggunakan alpha cronbach. Teknik analisis data menggunakan deskriptif kuantitatif dan kualitatif. Hasil penelitian menunjukan bahwa: Aspek context mendapatkan skor 3,38 (K3), 3,43 (Asesor), dan 3,32 (Guru Produktif). Aspek input mendapatkan skor 3,55 (K3), 3,73 (Asesor), dan 3,37 (Guru Produktif). Aspek process mendapatkan skor 3,62 (K3), 3,73 (Asesor), 3,52 (Guru Produktif). Aspek product mendapatkan skor 3,36 (K3), 3,50 (Asesor), 3,34 (Guru Produktif). Rekomendasi terhadap UKK TKRO yaitu: (1) peningkatan kualitas dan kuantitas sarana dan prasarana uji kompetensi yang mutakhir, (2) pengingkatan kualitas guru produktif dan asesor melalui pelatihan asesor, (3) dan peningkatan MoU dengan DUDI/IDUKA mengenai rekrutmen tenaga kerja.
Investigating How the Use of Technology Can Reduce Missed Appointments: Quantitative Case Study at a General Practitioner Surgery
Authors: Sides Teresa , Kbaier Dhouha 
Published: May 2024

Background
SMS texting systems have been considered a potential solution to reduce missed appointments in primary care. Existing research in this area focuses on qualitative studies investigating the attitudes of SMS text users and receivers.

Objective
This study aimed to examine appointment data from an independent general practitioner (GP) surgery in Wrexham, United Kingdom, with approximately 15,000 patients, to determine the impact of text messaging systems on reducing missed appointments. The objective of this study was to investigate whether the use of text messages can effectively reduce missed appointments.

Methods
To collect data for the study, SQL reports were run on EMIS Web, the United Kingdom’s most widely used clinical system. The data spanned 10 years, from September 1, 2010, to March 31, 2020. Data accuracy was verified by cross-referencing with appointment diary records. Mann-Whitney and Kruskal-Wallis tests, chosen for their suitability in comparing groups in nonparametric settings, were conducted in Microsoft Excel due to its accessibility.

Results
Statistical analyses were conducted to compare data before and after implementation of the text messaging system. The results revealed a significant 42.8% reduction in missed appointments (before: 5848; after: 3343; P<.001). Further analysis of demographic characteristics revealed interesting trends, with no significant difference in missed appointments between genders, and variations observed across different age groups. The median number of missed appointments was not significantly different between genders (women: 1.55, IQR 1.11-2.16; men: 1.61, IQR 1.08-2.12; P=.73). Despite the prevalence of mobile phone use among young adults aged 20-25 years, the highest rates of missed appointments (848/7256, 11.7%) were noted in this group, whereas the lowest rates were noted in the 75-80 years age group (377/7256; 5.2%; P<.001). Analysis by age and gender indicated inconsistencies: women aged 20-25 years (571/4216) and men aged 35-40 years (306/3040) had the highest rates of missed appointments, whereas women aged 70-75 years (177/4216) and men aged 75-80 years (129/3040) had the lowest rates (P<.001 for both).

Conclusions
This study demonstrates that SMS text messaging in primary care can significantly reduce missed appointments. Implementing technology such as SMS text messaging systems enables patients to cancel appointments on time, leading to improved efficiency in primary care settings.