bluuebunny/crossref_metadata_2025 huggingface dataset:
A meta-analysis of the impact of community policing on crime reduction
Authors: Ekici Niyazi , Akdogan Huseyin , Kelly Robert , Gultekin Sebahattin
Published: September 2022

Over the last few decades, many studies have been conducted to understand whether community policing (CP) has an impact on reducing crime rates. Yet there is still substantial controversy surrounding the question of the impact of CP on crime rates. Despite the broad understanding of CP, various types of measurement of crime statistics have led research- ers to conduct meta-analyses of the phenomenon. This study combines two previous meta-analyses of CP and Turkish and English online searches. We used the Comprehensive Meta-Analysis (CMA 3.0) statistical program to calculate the effect sizes of previous studies. We employed odds ratio (OR) as the effect size, since it is one of the most appropriate methods for proportions. We found no evidence suggesting that CP has an impact on reducing disorders, drug sales, or property crime, but it does have an impact on reducing crimes such as burglary, gun use, drug use, Part I crimes, and robbery, as well as fear of crime. Depending on crime type, CP can be a promising policing strategy to reduce crimes. und a statistically significant, positive impact of CP, despite the limitations of including only Turkish- and English-language studies.
Physiological and Hygienic Aspects of Doing Homework: A Review
Authors: Alexandrova Irina E.
Published: September 2022

Introduction: A high level of competition for the quality and quantity of acquired knowledge is observed in modern society. It entails an increase in time children spent studying in school and doing their homework, the latter being an integral and critical component of the educational process.
Objective: To summarize and systematize the results of research on physiological, hygienic and pedagogical challenges of doing homework as well as on rationalization and optimization of this type of schoolchildren’s activity in the digital educational environment aimed at preventing fatigue and school-related diseases, including in the historical perspective.
Materials and methods: Appropriate publications in Russian and English languages were search for in the Russian Science Citation Index, PubMed, and Scopus databases, print editions of scientific journals, and other sources. Forty-two full-text papers published in 1989–2021 were eligible for inclusion in the review.
Results and discussion: The data analysis shows that contemporary schoolchildren spend significantly more time doing homework than is recommended, which disrupts their daily routine by reducing the duration of walks and night sleep and deteriorates health. Distance learning during the COVID-19 pandemic only exacerbated the situation. A whole number of publications in pedagogy are devoted to didactic issues of homework while little attention is paid to health-related improvement of conditions and organization of this important type of educational activity.
Conclusion: Global digitalization and the associated transformation of the education system necessitates hygienic optimization of all the components of the learning process, including homework, the content of which has undergone significant changes.
Quantum sensing proposal using a hybrid optomechanical system
Authors: Han Jia-Yun , Zhou Yuan , Wang Qing-Lan , Lü Dong-Yan , Xie Peng , Wang Xing-Chen , Wang Jing-Wei , Wang Guang-Hui
Published: September 2022

The optomechanical system has developed a significant breakthrough in quantum science, especially since it can further improve the precision and sensitivity of the measurement in the quantum region. Here, we study a feasible optomechanical proposal in a hybrid quantum system, which can ensure a quantum sensor with further enhanced sensitivity. With the joint assistance of microwave modifying and optical parametric amplification, the effective line width of this supermode is further reduced around the critical point, and it can therefore result in a resolvable spectrum to display a much weaker mechanical frequency shift, which is perhaps induced by a tiny mass or charged particles in this system. We also hope there might be some useful applications for this attempt in the area of quantum measurement.
Degradation of NO-nitrided SiC MOS interfaces by excimer ultraviolet light irradiation
Authors: Fujimoto Hiroki , Kobayashi Takuma , Sometani Mitsuru , Okamoto Mitsuo , Shimura Takayoshi , Watanabe Heiji
Published: September 2022

The impact of excimer ultraviolet (UV) light irradiation on SiO2/SiC(0001) and (112̄0) interfaces was examined to get insight into the effect of NO nitridation. While NO nitridation appears to be effective in passivating the electron traps at the SiO2/SiC interfaces, we found that the nitridation induces additional traps that are not active until UV light is irradiated. The traps include those causing hysteresis and frequency dispersion in the C–V characteristics and those affecting the long-term reliability of MOS devices. A non-nitrided SiO2/SiC interface was less sensitive to UV light, indicating the instability of the nitrided SiC MOS structure.
Pengembangan Usaha Ekonomi Produktif dan Manajemen Usaha pada Kelompok Dasawisma Kelurahan Krobokan Semarang
Authors:   Program Studi Manajemen, Fakultas Ekonomi, Universitas Islam Sultan Agung, Semarang, Kusumawati Diah Ayu , Arizqi Arizqi ,   Program Studi Manajemen, Fakultas Ekonomi, Universitas Islam Sultan Agung, Semarang, Permatasari Devi ,   Program Studi Akuntansi, Fakultas Ekonomi, Universitas Islam Sultan Agung, Semarang
Published: September 2022

Abstract: Purpose : This community service aims to develop productive economic businesses by utilizing the natural potential of the surrounding environment to open up business opportunities by empowering and re-activating the main tasks of the PKK, especially in the dasawisma group. Method : The implementation of this community service uses counseling and training methods for creative economy development and business management in the dasawisma group of Krobokan Village which is carried out offline and data collection through questionnaires. Result : The results of this community service show that counseling and training for the dasawisma group of Krobokan Village, both those who already have a business and housewives who are able to provide business management knowledge and develop creative economic businesses by utilizing the potential of the natural surroundings so that they are able to develop sustainable businesses. Limitation : The application of good business management is very much needed in developing creative economy businesses for the Dasawisma group who want to start a business, so a simple and gradual method of delivering business management is needed to make it easier to implement. Research Contribution : This training is expected to be a reference in the application of academic knowledge to the general public, especially in the field of management science Keywords: 1. business management 2. productive economic business 3. dasawisma 4. Krobokan Village
Hybrid ACO-PSO-GA-DE Algorithm for Big Data Classification
Authors:   Research Scholar, Department of Computer Science and Applications, M.D.U, Rohtak, India., Bala Anju , Priti  ,   Assistant Professor, Department of Computer Science and Applications, M.D.U, Rohtak, India.
Published: September 2022

This paper designs a technique to classify big data efficiently. This work considers the processing of big data as an optimization problem due to the trade-off between accuracy and time and solves this optimization problem by using a meta-heuristic approach. The HAPGD (Hybrid ACO (Ant Colony Optimization), PSO (Particle Swarm Optimization), GA (Genetic Algorithm), and DE (Differential Evolution)) classification algorithm is designed by using the support vector machine (SVM) along with hybrid ACO-PSO-GA-DE algorithm that hybrids exploration capability of ACO with exploitation capability of PSO whose balance is maintained using modified GA. The GA has been modified by using the DE algorithm. The presented technique performs classification efficiently as shown in results on seven datasets using different analysis parameters due to balanced exploration and exploitation search with fast convergence.
Implementasi Information Schema Database Pada PostgreSQL untuk Pembuatan Tabel Informasi dengan Menggunakan Python Di PT XYZ
Authors: Prasetyo Dimas Aji Bayu
Published: September 2022

Abstrak

Perkembangan teknologi yang semakin pesat dan semakin mempermudah pekerjaan manusia. Setiap tahunnya teknologi baru bermunculan dengan menawarkan fitur serta fungsionalitas yang lebih kompleks dan lebih canggih dari teknologi serupa yang sudah ada. Teknologi-teknologi lama pun menjadi tidak lagi efisien dan mulai kehilangan support dari perusahaan pengembangnya. Saat ini PT. XYZ sedang melakukan proses migrasi terhadap aplikasi yang dibangun menggunakan Oracle form ke Webix dan Flask. Dikarenakan sumber daya manusia yang kurang dan jumlah form yang banyak, membuat proses migrasi form membutuhkan waktu yang cukup lama. Untuk memetakan form tersebut developer perlu mengetahui informasi seputar tabel yang meliputi nama kolom, constraint, tipe data, dan relasi antar tabel. Menyikapi hal tersebut, PT. XYZ membuat sebuah library yang memanfaatkan information schema database PostgreSQL untuk dijadikan tabel informasi. Hasil dari penelitian implementasi information schema yang dijadikan tabel informasi dapat mempermudah developer di PT. XYZ dalam proses pembuatan aplikasi form dan mempercepat proses migrasi form.
Klasifikasi Daun Herbal Berdasarkan Fitur Bentuk dan Tekstur Menggunakan KNN
Authors: Meiriyama Meiriyama , Devella Siska , Adelfi Sandra Mareza
Published: September 2022

Indonesia memiliki kekayaan dan keanekaragaman hayati yang sangat melimpah. Dari total sekitar 40.000 jenis tanaman herbal yang dikenal di dunia, terdapat kurang lebih 30.000 tanaman herbal disinyalir berada di Indonesia. Tanaman herbal merupakan tanaman yang umum digunakan masyarakat, khususnya di Indonesia yang memiliki keanekaragaman hayati sebagai bahan pembuatan obat herbal. Tanaman herbal tentu tidak mudah untuk dikenali meskipun sering tumbuh di sekitar lingkungan. Karena masih kurangnya pengetahuan masyarakat tentang tanaman herbal, maka tidak memungkinkan untuk memanfaatkan tanaman herbal tersebut. Penelitian ini bertujuan untuk mengklasifikasikan daun tanaman herbal menggunakan metode K-Nearest Neighbor (KNN) dengan nilai K = 3 dan ekstraksi ciri Histogram of Oriented Gradient (HOG) dan Local Binary Patterns (LBP). Penelitian dilakukan pada 15 jenis tanaman herbal. Akurasi metode HOG dengan KNN adalah 92,67%, Akurasi LBP dengan KNN adalah 88,67% dan akurasi kombinasi fitur HOG dan LBP dengan metode KNN adalah 92,67%. Berdasarkan ketiga skenario percobaan yang telah dilakukan menunjukkan bahwa kombinasi fitur HOG dan LBP tidak mempengaruhi akurasi klasifikasi daun tanaman herbal.
CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK MENENTUKAN GAGRAK WAYANG KULIT
Authors: Pratama Awanda Setya Sanfajar , Prasetya Wibawa Aji , Nur Handayani Anik
Published: September 2022

Indonesia adalah negara yang kaya akan keragaman budaya, salah satu dari budaya Indonesia adalah Wayang Kulit. Wayang kulit di Indonesia memiliki beragam gagrak, mulai dari Cirebon, Solo, Jawa-Timuran, Yogyakarta dan lain sebagainya. Keberagaman dari gagrak wayang kulit membuat generasi muda kesulitan untuk mengetahui gagrak dari wayang kulit. Dari permasalahan tersebut, peneliti akan mengembangkan sebuah machine learning dengan menggunakan Convolutional Neural Network (CNN) untuk menentukan gagrak wayang kulit. Tujuan penelitian ini adalah menghasilkan machine learning yang bisa menentukan gagrak dari wayang kulit. Data yang digunakan pada penelitian ini terdiri dari 280 gambar wayang kulit yang diunduh satu persatu di platform Facebook dan Google penelusuran gambar, warna latar belakang gambar tersebut diubah menjadi putih dan diubah ukuran menjadi 640*480 pixel. Data tersebut disebarkan melalui google form dan dilakukan validasi menggunakan Inter-annotator Agreement sehingga dapat digunakan pada proses pelatihan dengan metode CNN di Google Colab. Setelah itu dilakukan pengujian untuk menentukan gagrak wayang kulit menggunakan 3 arsitektur CNN yaang sudah dibuktikan pada penelitian-penelitian sebelumnya. Hasil dari penelitian ini menunjukan bahwa arsitektur yang digunakan oleh Sudiatmika & Dewi merupakan model klasifikasi terbaik dari ketiga arsitektur, arsitektur tersebut mendapatkan akurasi sebesar 92,27%, presisi sebesar 92,22%, recall sebesar 96,85% dan f-measure sebesar 91,93%.
KLASIFIKASI DIALEK BAHASA JAWA MENGGUNAKAN METODE NAIVES BAYES
Authors: Angeline Grace , Wibawa Aji Prasetya , Pujianto Utomo
Published: September 2022

Pulau Jawa merupakan pulau terpadat di Indonesia dan memiliki keragaman dialek yang tinggi. Berdasarkan peta bahasa yang dikeluarkan oleh KEMDIKBUD, Pulau Jawa memiliki 12 dialek utama yang tersebar di Jawa Timur, Jawa Barat dan Jawa Tengah. Dari hasil survei yang telah dilakukan, dialek yang digunakan sebagai dataset hanya dibatasi menjadi 3 dialek terpopuler dari setiap provinsi yaitu Dialek Cirebon, Dialek Tegal dan Dialek Jawa Timur. Penyediaan data dilakukan dengan metode studi literatur yang bersumber dari buku dan dokumen tertulis yang tersedia di internet. Data akan diolah dan dianalisis menggunakan algoritma Multinomial Naives Bayes karena cepat dalam proses perhitungan, sederhana dan memiliki akurasi yang tinggi. Algoritma akan diuji menggunakan K-fold Cross Validation untuk mengetahui performa algoritma Multinomial Naives Bayes dalam melakukan klasifikasi dialek di Pulau Jawa. Metode Synthetic Minority Over-Sampling Technique (SMOTE) juga digunakan dalam penelitian ini untuk mengetahui pengaruh teknik oversampling terhadap performa algoritma. Dari penelitian in dihasilkan performa terbaik dengan akurasi sebesar 96,97%, presisi sebesar 97,53% dan recall sebesar 96,83%.
ANALISIS PENGUJIAN SISTEM INFORMASI MUI KABUPATEN PAMEKASAN MENGGUNAKAN METODE BLACKBOX FUNCTIONAL TESTING
Authors: Fikri Ali , Hozairi Hozairi , Muhsi Muhsi
Published: September 2022

Tujuan dari penelitian ini adalah membangun sistem informasi MUI Pamekasan dengan menggunakan metode RAD (Rapid Application Development) dengan tahapan perencanaan, desain sistem, pengembangan dan implementasi. Modul yang dikembangkan dalam website MUI Pamekasan antara lain: (1) data masjid, (2) berita, (3) data fatwa, (4) laporan, (5) konsultasi, (6) pengguna (7) data pengurus, (8) data ulama, (9) kegiatan. Pada tahap implementasi terdapat pengujian sistem untuk mеndеtеkѕі kesalahan уаng аdа pada sistem yang dіkеmbаngkа menggunakan metode blасkbоx dengan functional testing. Jenis реnggujіаn іnі dilakukan untuk mengetahui setiap fungsi dari арlіkаѕі bеrjаlаn ѕеѕuаі dengan yang diharapkan, pengujian ini menghasilkan rata-rata 92% dari sembilan modul yang di uji dengan menemukan satu modul yang error atau belum terselesaikan. Kontribusi penelitian ini mampu memberikan informasi yang terpercaya dan valid kepada masyarakat, memberikan kontribusi nyata peran dan fungsi dari MUI khususny di kabupaten Pamekasan.
MODEL CASE BASED REASONING DALAM MENDIAGNOSA PENYAKIT KELAPA SAWIT
Authors: Sihaloho Tulus Pramita , Tarigan Wanra , Siallagan Sariadin , Haris Simbolon Fauzi
Published: September 2022

Tanaman kelapa sawit mempunyai peran penting bagi pembangunan perkebunan nasional di Indonesia. Selain sumber perolehan devisa negara, juga sebagai pencipta lapangan kerja kerja yang  dapat mensejahteraan masyarakat. Kurangnya informasi untuk menangani penyakit kelapa sawit tersebut bahkan susahnya orang awam dalam berkonsultasi   langsung dengan seorang pakar membuat petani kesulitan dalam menangani penyakit pada tanaman kelapa sawit tersebut. Dari penjelasan di atas untuk itu penulis membuat suatu sistem pakar mendiagnosa penyakit tanaman kelapa sawit dengan metode Case Base Reasionong (CBR) yang dimaksudkan untuk membantu kerja petani dalam memberikan informasi serta kesimpulan dari penyakit yang di derita pada tanaman kelapa sawit tersebut. Experimen yang dilakukan dengan mendiagnosa gejala-gejala penyakit tanaman kelapa sawit dan jenis penyakit kelapa sawit tersebut, dan memberikan solusi yang tepat untuk penanganannya. CBR dikembangkan dari sistem pembelajaran berbasis kesamaan (similarity). Berdasarkan pengujian dan analisis sistem pakar diagnosa penyakit Tanaman Kelapa Sawit mampu mendiagnosis dengan perhitungan kemiripan dengan metode CBR. Berdasarkan hasil perhitungan metode CBR kedekatan terhadap kasus lama sebesar 0,78.
Pelaksanaan Pencegahan Covid 19 di Masyarakat Kelurahan Talang Banjar Kota Jambi
Authors: Indrawati Iin , Faridah Faridah
Published: September 2022

Covid-19 cases in Indonesia in early June 2022 were reported to increase by 551 cases The purpose of the study was to describe the implementation of Covid-19 prevention in the Talang Banjar Village Community, Jambi City. This research is a quantitative research using a descriptive analytic design. The population and sample in this study were the people of Talang Banjar Village, Jambi City who took part in weekly gymnastics at the Talang Banjar Village Head Office, Jambi City, amounting to 30 people. Sampling was done by using total sampling technique. The implementation of Covid-19 prevention in the Talang Banjar Village community can be seen from how the public's perception of the Covid-19 disease and their behavior in preventing Covid-19 is in accordance with the health protocol imposed by the government. The perception of the Talang Banjar village community about Covid-19 is mostly good, namely 86.7% and community behavior according to health protocols in preventing the transmission of the Covid-19 virus is mostly good, namely 82.8%. The government's program to prevent the spread of the Covid-19 virus is to invite people to live healthy lives through habits to comply with health protocols that have been established and health workers must more often and make regular plans to always provide health education to the community to be able to educate the nation
Efektivitas Senam Hamil terhadap Penurunan Nyeri Punggung pada Kehamilan Trimester III di RSUD Ciawi
Authors: Nurlitawati Ermawati Destri , Aulya Yenny , Widowati Retno
Published: September 2022

Pain in the lower back is a common musculoskeletal problem during pregnancy with the prevalence of pregnant women in Indonesia being 4.8%, while for West Java it is 5.3%. One way to improve health during pregnancy is to do light exercise such as pregnancy exercise. Pregnancy exercise is able to release endorphins in the body, where the function of endorphins is as a sedative and can reduce back pain in pregnant women. This study aims to determine the effectiveness of pregnancy exercise on reducing back pain in third trimester pregnant women at Ciawi Hospital. This quasi-experimental study used a one group pretest and posttest design. The population totaling 20 respondents. The instrument used in this study was the Wong Baker FACES Rating Scale for pain measurement. Pregnancy exercise is done for 1 month to reduce back pain in pregnant women. From the results of the study, a significant value of paired sample t-test was obtained, a significant value of 0.002 < 0.05, meaning that there was a change in back pain in third trimester pregnant women at Ciawi Hospital in 2021 before and after pregnancy exercise. There are significant results on changes in pain in back pain in third trimester pregnant women at Ciawi Hospital in 2021 before and after pregnancy exercise. It is hoped that health workers, especially midwives, can work together to increase education about back pain and the benefits of pregnancy exercise, so that pregnant women have awareness to do pregnancy exercise.
Pengetahuan, Sikap dan Motivasi Remaja Putri tentang Deteksi Dini Kanker Payudara melalui Sadari di SMPN 13 Tanjung Jabung Timur
Authors: Sari Ratna Jelita , Sulastri Sulastri
Published: September 2022

According to GLOBOCAN data (IARC) in 2012 it is known that breast cancer is a cancer with the highest percentage of new cases (after controlling for age), which is 43.3%, and the percentage of deaths (after controlling for age) due to breast cancer is 12.9 %. This research is a correlation analytic study with a cross sectional design. The population in this study were 145 teenage girl. The sampling technique used is simple random sampling namely 59 sampling, where the research was conducted by filling out a questionnaire, analyzed using univariate and bivariate analysis. The results of this study showed that from 59 respondents, the majority of respondents had poor knowledge, namely 36 respondents (61%), the majority of respondents had a negative attitude, namely 45 respondents (76.3%), the majority of respondents had low motivation, namely 31 respondents (52.5 %) and there is a significant relationship between knowledge, attitude and motivation of young women and early detection of breast cancer through BSE at SMP N 13 Tanjung Jabung Timur with p values of 0.000, 0.000 and 0.001 respectively.
Rehabilitation Care: Opportunities for Integration Into Clinical Practice
Authors: Mostepan Tatiana V. , Horachuk Victoria V.
Published: September 2022

Aim: To investigate how legislative changes to rehabilitation implemented in secondary health care facilities. The subject of the study: the nosological structure of hospitalized morbidity; the state of organization, technologies and resources of rehabilitation in secondary health care facilities.
Materials and Methods: The materials of the study were administrative data, local regulations and protocol records for the rehabilitation of secondary health care facilities in Kyiv in 2021. The calculation of relative values of quantitative data in percent is carried out. Content analysis, graphic and modeling methods were used.
Results: The nosological structure of hospitalized morbidity was formed, in particular, diseases of the circulatory system – 18.2%, neoplasms – 13.7%, diseases of the digestive system – 9.7%, injuries, poisoning – 6.7%. The needs are likely to increase as a result of military events in Ukraine. A shortage of human resources, multidisciplinary rehabilitation teams, personalized rehabilitation technologies based on evidence-based medicine, digital communication technologies, infrastructure and financial support for rehabilitation has been identified. The introduction of a rehabilitation center into the structure of the secondary medical care institution, the involvement of extrabudgetary funding and the training of rehabilitation personnel can significantly improve the performance of rehabilitation tasks.
Conclusions: The high need of patients for rehabilitation and the variety of rehabilitation tasks require the concentration of several elements in one rehabilitation center. The main functional unit of the center should be multidisciplinary rehabilitation teams using individual rehabilitation programs and evidence-based technologies.
Pengembangan Modul Pembelajaran Berbasis Website untuk Memudahkan Praktik Laboratorium bagi Mahasiswa Ilmu Keperawatan
Authors: Nurfantri Nurfantri , Saranani Muhaimin , Wijayati Fitri
Published: September 2022

Penggunaan modul dalam praktik laboratorium bagi mahasiswa Ilmu Keperawatan merupakan bagian yang tak terpisahkan dalam pendidikan tinggi, karena menitik berartkan pada kemampuan yang berorientasi pada tindakan prosedural, keterampilan teknis tersebut 60% nya diperoleh melalui pembelajaran praktikum. Penelitian ini bertujuan untuk membuat mengembangkan modul pembelajaran praktik laboratorium berbasis website dengan metode Research and Development (R&D) melalui 3 tahap utama, analisis, desain dan pengembangan. Modul yang dikembangkan diujicobakan di Jurusan Keperawatan Poltekkes Kemenkes Kendari. Sejumlah 40 responden yang mengikuti uji coba modul berbasis website. Hasil analisis fungsional menunjukkan adanya kebutuhan pengembangan modul praktikum berbasis website dengan pengguna aplikasi Laboran, Dosen, dan Mahasiswa. Berdasarkan uji kelayakan, modul berbasis website memenuhi aspek fungsional ISO/IEC 9126 dan persentase pengujian usability sebesar 81,65 %.
Las dimensiones de satisfacción estudiantil como predictoras de riesgo de deserción escolar en estudiantes de una universidad virtual
Authors: Ramírez López Jabnia Febe , Martínez Dora Patricia
Published: September 2022

En la educación virtual existen factores importantes que dan lugar a la satisfacción escolar, la deserción y el rendimiento académico de sus alumnos. Esta investigación intentó encontrar la relación entre las dimensiones de la satisfacción estudiantil y los factores del riesgo de deserción escolar de los estudiantes de una universidad virtual. La investigación fue transversal, descriptiva, exploratoria y correlacional. Se administró a 136 alumnos inscritos y 127 dados de baja un cuestionario conformado por 14 ítems para medir el riesgo de deserción escolar y un cuestionario conformado por 34 ítems para medir la satisfacción estudiantil. Los resultados muestran que el mejor modelo predictor del riesgo de deserción es el conformado por a) la actitud hacia las computadoras, b) la satisfacción general, c) la interacción con otros y d) la respuesta oportuna del docente.
Materialien nach Rezept für 3D-Druck
Authors: Köhler Marie Luise , Norda Michael
Published: September 2022

Bei konventionellen, subtraktiven Produktionsprozessen gibt es hunderte Materialien für jede spezifische Anwendung. Im 3D-Druck beschränkt sich die Auswahl über alle metallischen Werkstoffe auf weniger als 30 Materialien. Forscher arbeiten derzeit an einer nachhaltigen Lösung zur individuellen und robusten Herstellung von Legierungen durch Metallpulvermischungen im 3D-Druck mittels Laserstrahl.
CALCULATION THE TEMPERATURE DEPEND ENCE THE ENERGY SPECTRUM OF CHARGE CARRIERS IN SEM ICONDUCTORS EXPOSED TO A STRONG MAGNETIC FIELD
Authors:   Namangan Institute of Engineering and Technology of the Republic of Uzbekistan, Dadamirzayev M.G.
Published: September 2022

The energy spectrum of free holes in a st rong magnetic field is calculated for a non- quadratic dispersion law. The temperature dependen ce of the broadening of the Landau levels of holes in crystals with the Kane dispersion law has been studied. A new method for calculating the discrete energy spectrum in a quantizing magnetic field is proposed
Photometrically Classified Superluminous Supernovae from the Pan-STARRS1 Medium Deep Survey: A Case Study for Science with Machine-learning-based Classification
Authors: Hsu Brian , Hosseinzadeh Griffin , Villar V. Ashley , Berger Edo
Published: September 2022

With the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), it is expected that only ∼0.1% of all transients will be classified spectroscopically. To conduct studies of rare transients, such as Type I superluminous supernovae (SLSNe), we must instead rely on photometric classification. In this vein, here we carry out a pilot study of SLSNe from the Pan-STARRS1 Medium Deep Survey (PS1-MDS), classified photometrically with our SuperRAENN and Superphot algorithms. We first construct a subsample of the photometric sample using a list of simple selection metrics designed to minimize contamination and ensure sufficient data quality for modeling. We then fit the multiband light curves with a magnetar spin-down model using the Modular Open-Source Fitter for Transients (MOSFiT). Comparing the magnetar engine and ejecta parameter distributions of the photometric sample to those of the PS1-MDS spectroscopic sample and a larger literature spectroscopic sample, we find that these samples are consistent overall, but that the photometric sample extends to slower spins and lower ejecta masses, which correspond to lower-luminosity events, as expected for photometric selection. While our PS1-MDS photometric sample is still smaller than the overall SLSN spectroscopic sample, our methodology paves the way for an orders-of-magnitude increase in the SLSN sample in the LSST era through photometric selection and study.
Gastro Library. I. The Simulated Chemodynamical Properties of Several Gaia–Sausage–Enceladus-like Stellar Halos
Authors: Amarante João A. S. , Debattista Victor P. , Beraldo E Silva Leandro , Laporte Chervin F. P. , Deg Nathan
Published: September 2022

The Milky Way (MW) stellar halo contains relics of ancient mergers that tell the story of our galaxy’s formation. Some of them are identified due to their similarity in energy, actions, and chemistry, referred to as the “chemodynamical space,” and are often attributed to distinct merger events. It is also known that our galaxy went through a significant merger event that shaped the local stellar halo during its first billion years. Previous studies using N-body only and cosmological hydrodynamical simulations have shown that such a single massive merger can produce several “signatures” in the chemodynamical space, which can potentially be misinterpreted as distinct merger events. Motivated by these, in this work we use a subset of the GASTRO library, which consists of several smoothed particle hydrodynamics+N-body models of a single accretion event in a MW-like galaxy. Here, we study models with orbital properties similar to the main merger event of our galaxy and explore the implications to known stellar halo substructures. We find that (i) supernova feedback efficiency influences the satellite’s structure and orbital evolution, resulting in distinct chemodynamical features for models with the same initial conditions; (ii) very retrograde high-energy stars are the most metal-poor of the accreted dwarf galaxy and could be misinterpreted as a distinct merger; (iii) the most bound stars are more metal-rich in our models, the opposite of what is observed in the MW, suggesting a secondary massive merger; and, finally, (iv) our models can reconcile other known apparently distinct substructures to a unique progenitor.
Effect of Different Shading Techniques on the Color of Zirconia Ceramic Restoration (An In vivo Study)
Authors: Elbadry Mohamed , Mohsen Cherif , Hashem Raiessa
Published: September 2022

BACKGROUND: The color of all ceramic restorations has a significant effect on the final appearance of the restoration.

AIM: This study aimed to evaluate the effect of different shading techniques on the color stability of monolithic zirconia crowns cemented on the upper anterior teeth.

METHODS: In this study, there were nine patients. Each patient has undergone a reduction for the upper six anterior teeth. Fifty-four zirconia jacket crowns were constructed using CAD/CAM technique. According to the shading technique, the crowns were categorized into two groups (pre-shaded and liquid shaded), where the upper right reduced teeth received pre-shaded zirconia crowns while the upper left reduced teeth received liquid-shaded zirconia crowns according to the selected shade. The color was assessed using easy shade after cementation and 1 year follow-up period. Data were collected, tabulated, and statistically analyzed.

RESULTS: Color change (ΔE) of the cemented pre-shaded zirconia crowns on the upper right central incisors, lateral incisors, and canines was 2.37, 2.84, and 1.92, respectively, while color change (ΔE) of the cemented liquid-shaded zirconia crowns on the upper left central incisors, lateral incisors, and canines was 2.52, 2.88, and 2.77, respectively. Color change of both pre-shaded and liquid-shaded zirconia crowns after 1 year follow-up was within the clinically acceptable range 1>E>3.7, and there was no significant difference between them.

CONCLUSIONS: The aging and technique of shading had no significant effect on the color of zirconia ceramic.
Push-Out Bond Strength and Dentinal Penetration of a Novel Herbal-Based Pulp Capping Agent: An In vitro Study
Authors: Hamdy Mai , Elgendi Huda , Sharaan Marwa
Published: September 2022

Background: Pulp capping agents should have proper sealing effect to enhance dental pulp tissue healing.
Aim: The purpose of this study was to compare the effectiveness of grape seed extract (GSE) and Mineral trioxide aggregate (MTA) to penetrate to dentin and their push-out bond strength at two time intervals (1 and 3 months) when used as pulp capping agents either singly or combined to each other.
Materials and Methods: This study was conducted on 120 human single-rooted anterior teeth. Sixty dentin discs were randomly divided into three groups (n=20) based on the material used; MTA, GSE, and a combination of MTA and GSE. A universal testing machine was used to determine the push-out bond strength for one and three months. At the same time intervals, extra 60 teeth with the same groups were utilized to quantify the degree of capping material penetration within the dentinal tubules using scanning electron microscopy (SEM). ANOVA with multiple comparison Post hoc test was used to evaluate the data where the p value was < 0.05.
Results: MTA had the highest push-out bond strength and penetration depth measurement into dentinal tubules at one month, followed by MTA combined with GSE, while GSE had the lowest push-out bond strength and penetration depth measurement. Nevertheless, GSE had the greatest values in both tests at 3 months, followed by MTA, while MTA coupled with GSE had the lowest value in both tests.
Conclusion: Push out bond strength and dentinal penetration depth were improved with time except for the MTA group testing its dentinal penetration depth. GSE shows good push out bond strength and dentinal penetration depth.
Socioeconomic Determinants of Tuberculosis Cases in Indonesia, 2010–2013: An Ecological Study
Authors: Wanahari Tenri Ashari , Bakhriansyah Mohammad , Haryati Haryati , Rudiansyah Mohammad , Isa Mohamad , Djallalluddin Djallalluddin , Prenggono Muhammad Darwin
Published: September 2022

BACKGROUND: Indonesia encounters a serious issue of disparity in tuberculosis cases among provinces.  These disparities are crucial since they may reflect a macro-level factor that could be modified to further reduce the cases. Some factors are identified contributing to this variation, including socioeconomic determinants.
AIM: This study investigated whether these socioeconomic determinants (i.e., poverty, unemployment, income inequality, and low education) can predict the variation of tuberculosis cases across provinces in Indonesia.
METHODS: We conducted an ecological analysis by using public-use data files of the Annual Indonesian Health Profile Report and The Indonesian Social and Population Profile Report consisting of data from 33 provinces, 2010–2013. The main outcome measures were province-level tuberculosis notification cases for all form of tuberculosis cases and new smear-positive cases. The correlation between socioeconomic determinants and tuberculosis notification cases was analyzed with bivariate analyses and multivariate linear regression analyses.
RESULTS: This study showed that poverty was strongly and positively correlated with tuberculosis notification cases, either all form or new smear-positive cases. Unemployment was also positively correlated with tuberculosis notification cases, but the power was lower. In contrast, income inequality and low education level were not statistically correlated with tuberculosis notification cases. In multivariate linear regression analyses, poverty is the strongest predictor for tuberculosis notification cases. Poverty had a bigger impact than unemployment in the increased tuberculosis notification cases.
CONCLUSION: Findings from this study suggest that poverty has a profound influence on the variation for tuberculosis notification cases across provinces in Indonesia.
Correlation of Energy, Protein, Carbohydrate, and Physical Activity Intake with Nutritional Status of Adolescents
Authors: Ramadhani Firdausi , Hatta Herman , Nuryani Nuryani , Maesarah Maesarah , Adam Deysi , Sillehu Sahrir , Nugroho Heru Santoso Wahito
Published: September 2022

BACKGROUND: Adolescence is a period of growth and development. So that adolescents must get a balanced intake of nutrients and in accordance with the needs to achieve optimal growth and development. Balance of intake with development can cause nutritional problems.

AIM: The purpose of this study was to determine the relationship between energy intake, protein, carbohydrates, and physical activity with the nutritional status of adolescents.

METHODS: This study used an analytical survey method with a cross-sectional approach. The sample is 115 respondents. The sampling technique is using simple random sampling. Research variables include energy intake, protein, carbohydrates, physical activity, and nutritional status. Data were collected using a questionnaire, form recall, PAL, and nutritional status using anthropometric measurements.

RESULTS: The results of the study using the Chi-square test showed that the intake of energy (p = 0.179 protein (p = 0.529), carbohydrates (p = 0.081), and physical activity (0.065). This shows that there is no significant relationship between energy intake, protein, carbohydrates, and physical activity with the nutritional status of adolescents at SMPN Bulango Selatan and SMPN Tapa in Bone Bolango Regency.

CONCLUSION: Teenagers are expected to get used to consumption patterns according to the balanced nutrition guidelines. In addition, the role of parents is also needed to pay attention to the food consumed by members’ food intake family at home, especially teenagers, so that optimal nutritional status is achieved.
Forty years of invasion research: more papers, more collaboration...bigger impact?
Authors: Campbell Sara E. , Simberloff Daniel
Published: September 2022

Scientific research has become increasingly collaborative. We systematically reviewed invasion science literature published between 1980 and 2020 and catalogued in Clarivate Analytics Web of Science to examine patterns of authorship and the relationship between co-authorship and annual citation rates. This study analysed 27,234 publications across 1,218 journals and demonstrated that, as the number of publications in invasion science has exponentially increased, the number of authors publishing per year and the average number of authors per paper have also increased. The rising number of authors per paper coincides with a marked decline of single-authored publications; approximately 92% of publications in this dataset were multi-authored, with single-authored papers comprising less than 4% of all papers published in 2020. The increase in multi-authored papers is likely driven by multiple factors, including the widespread perception that collaboration increases scientific quality. The number of authors is positively correlated with perceived research impact; papers with two or more authors produce research that is more frequently cited compared to single-authored papers, and papers with five or more authors have annual citation rates almost double that of single-authored papers. The complexity, context-dependence and urgency of biological invasions contributed to the rise of the highly collaborative field of modern invasion science.
Recruitment of Older Adults With Dementia for Research: An Integrative Review
Authors: Davis Rebecca , Bekker Paige
Published: September 2022

Recruitment of persons with dementia into research studies is essential to provide evidence for effective care and treatment. However, recruitment is known to be difficult for this population. The current integrative review was undertaken to synthesize evidence surrounding best practices for recruiting older adults with dementia into research. Fourteen studies were identified that examined recruitment strategies for persons with cognitive impairment over a 10-year time period. Most studies were retrospective and descriptive. Studies revealed three facilitators and three barriers for recruitment. Facilitators included community partnerships and trust, incentives, and use of multiple recruitment methods. Barriers included non-targeted recruitment methods, gatekeepers, and mistrust. Further studies, including randomized controlled trials, are needed to determine specific strategies that yield effective recruitment. Theoretically based recruitment strategies need to be defined and tested and the measures of recruitment efforts standardized to compare effectiveness and build a science of recruitment. [
Research in Gerontological Nursing, 15
(5), 255–264.]
Nonlinear fractional differential inclusions with non-singular Mittag-Leffler kernel
Authors: Abbas Mohamed I. , Ragusa Maria Alessandra
Published: September 2022

In the existing article, the existence of solutions to nonlinear fractional differential inclusions in the sense of the Atangana-Baleanu-Caputo ($ \mathcal{ABC} $) fractional derivatives in Banach space is studied. The investigation of the main results relies on the set-valued issue of Mönch fixed point theorem incorporated with the Kuratowski measure of non-compactness. A simulated example is proposed to explain the obtained results.
Who wants to work and why? workplace practices, job satisfaction and the will to work
Authors: Axelrad Hila , Yirmiyahu Albert
Published: September 2022

Beyond the obvious positive effect on employees, job satisfaction is also critical for organizations. Job satisfaction affects workers' turnover intents, while also predicting employees' commitment to their workplace and their performances. Thus, not surprisingly, most organizations strive for employee satisfaction. The goal of the study is to examine which job characteristics and workplace practices affect the job satisfaction of employees, and particularly that of older ones (55+), and, in turn, enhance their will to work and may encourage them to work longer. Our analysis of the Social Survey for 2016 from the Israel Central Bureau of Statistics focused on job conditions and revealed that income satisfaction, additional benefits, a sense of belonging and work-life balance enhance job satisfaction and the desire to work longer, particularly among older workers. Among younger workers, a higher significance was found for professional training and skills. Implications for organizations and policymakers are discussed.
Análisis multiparamétrico de tres sistemas constructivos considerando indicadores de sustentabilidad: ambientales, económicos y energético-funcionales
Authors: Bucio-Sistos Carla , López-Sosa Luis Bernardo , Morales-Máximo Mario
Published: September 2022

El presente estudio muestra un análisis multiparamétrico de tres sistemas constructivos elaborados de tabiques y block de cemento. El análisis se realizó considerando como unidad funcional un metro cuadrado de muro de construcción para cada tabique y block, e incluyendo indicadores de sustentabilidad: (a) ambientales, a través del Análisis de Ciclo de Vida (ACV), evaluando categorías de impacto como calentamiento global, acidificación y eutrofización (b) económicos, estimando el costo de materias primas y costo de construcción para la unidad funcional y (c) energético-funcionales, mediante la resistencia mecánica, la resistividad térmica y resistencia acústica de los materiales de construcción analizados. También se realizó una simulación térmica con los ladrillos estudiados. El análisis resultante es herramienta comparativa que muestra las diferencias entre los materiales estudiados y representa una metodología para la toma de decisiones con base en la importancia de cada uno de los indicadores propuestos.
Yes-no questions in whispered speech
Authors: Martín Echarri Miguel
Published: September 2022

Intonative profiles are key to the identification of yes-no questions in many languages. Therefore, its absence in whispered speech makes it necessary to look for other features transmitting that information. Regarding other languages, f1 and f2 have been pointed as responsible of prosodic information in absence of f0, through a rise in those points where a rise of pitch would take place. It has also been related to intensity and duration.
The quality of vowels in Spanish is very stable, so we have chosen to analyse formants in three utterances, each one pronounced by three informants in phonation as well as in whispered speech, and both in declarative and interrogative modalities. Although results do show a prevalence of the final rise of both formants in interrogative utterances, all exceptions could be identified as interrogative too. This suggests other features are involved, probably tension of the vocal cords.
The Value of Communication Management in Agile Project Environments
Authors: Galli Brian J.
Published: September 2022

In today's business environment, a less agile way of working is no longer a business choice. Implementing the agile method is not for fashion and not for keeping up with the “newest and greatest” trend. Without the agile method, it is difficult to implement any other strategic initiatives, such as digital transformation. Agile development focuses on the evolution of user needs and then uses a step-by-step approach as well as an iterative approach to software development. This paper finds that communication is vital in agile project management. The author puts forward some opinions on the communication management of agile projects, including the establishment of the information portal and agile communication matrix. Additionally, a literature review is performed to illustrate how certain variables, concepts, and models can assist in project management. This study takes a design-science-investigate approach to assess pre-existing literature.
In Memorial and Serenity
Authors: Man Ng Ka , Caires Carlos Sena
Published: September 2022

Macao inhabit a population of 683,100. The birth rate has been dropping while the death rate has risen compared to two years ago. Cemeteries are becoming crowded, and burial spots are demanding. In this case, video calls and social media can be the solution. How about our beloved ancestors? Can we video call them on their memorial days? This paper presents a VR experience of immersing oneself in the 3D VR of the Chapel of St. Michael of Macao to create a peaceful atmosphere for grave mourning. The chapel is also a personal space where we can be truly isolated in serenity. It is a retreat to pray, disconnect, and reconnect to the beloved deaths that may not be buried in an easily accessible location. The authors propose a possible future of mourning our loved ones through virtual reality and telepresence: an immersive experience connected with Macao's extraordinary and cultural unicity.
Loan Fraud Detection Using Machine Learning as a Data Mining Approach
Authors: Hamdoun Nabila
Published: September 2022

Detecting loan fraud is a subject frequently raised in scientific research, and to which financial institutions attach great importance, given the losses they avoid by applying an efficient fraud detection. The purpose of this paper is to compare a machine learning algorithm with statistical models in fraud detection and describe a machine learning approach to loan fraud detection using data mining techniques. The paper proposes an approach using data mining techniques for machine learning in order to improve performance. In the training stage, the authors used two datasets. The first one is a raw data, and the second is a pre-processed data with feature engineering and selection methods. The results show a significant improvement in performance of all classifiers once tested on pre-processed data. Finally, they conclude that applying machine learning algorithms directly to raw data gives bad results for statistical model comparing to machine learning algorithms, and the proposed approach using feature engineering and selection techniques contributes to improve performance.