bluuebunny/crossref_metadata_2025_split huggingface dataset:
Misconceptions and Spousal Communication about Family Planning among Women of a Rural Community in Ekiti State, Nigeria
Authors: Abidemi Solomon Olusoji , Oluseyi Amu Eyitope , Olayinka Solomon Oluremi 
Published: April 2023

Purpose: Communication between the spouse on family planning issues predisposes to the approval of the man for the wife to use contraceptives. Most don’t even initiate communication as a result of misconceptions surrounding family planning. This study examined how misconception and spousal communication affect the use of family planning.
Methods: The study was a cross sectional study carried out in a rural community. Multistage sampling technique was used in selecting 464 women of reproductive age group. A semi-structured questionnaire was used to collect information from the participants by trained research assistants. Data was entered into SPSS version 25 and analysis was carried out. Univariate analysis was done using mean, and tables, bivariate analysis was done using chi square and level of significance was set at p < 0.05.
Results: The mean age of the respondents was 32.5 ± 8.1, 110 (23.7%) had ever used contraceptive. Out of the respondents, 150 (32.3%) agreed that family planning can cause infertility and 188 (40.5%) agreed that it makes women gain weight. One hundred and seventy-six (37.9%) had discussed family planning with their husbands out of which 167 (94.9%) got approval from them. Among respondents that discussed family planning with their husband, 66 (37.5%) of them had ever used family planning and those that didn’t discussed only 44 (15.3%) ever used contraceptive. This difference is statistically different with p value of p < 0.05.
Unique Contribution to Theory, Policy and Practice: Spousal communication increases the utilization of family planning therefore; women should be encouraged to discuss with their husbands. This study will contribute to policy on improvement of family planning utilization when married couples are allowed to attend joint session focused on educating couples on the need, benefits and misconceptions surrounding family planning.
Determining The Best Conditioning Method For Mammothred Daisy(Chrysanthemum Morifolium)
Authors: Lath Anshu Kumar , Misra Dr. Shweta 
Published: April 2023

Background: Conditioning is a post-harvest step necessary in the maintenance of cut flowers. It not only helps to increase the shelf life of the cut flowers but also helps in increasing the time for which the flowers can be stored. The process of conditioning also helps in providing certain key nutrients to the cut flowers which are required for their sustainability. It also protects the flowers from getting contaminated by several disease-causing microbes. Most people usually do not pay enough attention to this process which often their beautiful and precious flowers to decay earlier than usual. Proper conditioning method can provide a solution to all these problems by providing optimum conditions for the flower and protects the cut flowers against early aging. Objective: The study was carried out with the objectives (1) to determine the best conditioning method for cut Mammoth Red Daisy flowers through scientific experiments and (2) to get views on the flowering behaviour under different conditions based on visual parameters. Methodology: This study's methodology combined experimental and observational research methods. The experiment was performed in the on-premises housekeeping lab at IHM Pusa, under the supervision of the research guide and lab attendant. Through the use of a Google Form-created questionnaire, the observational study was conducted. This questionnaire was filled out by subject experts in the domain based on the visual parameters from the experiment conducted. Results: Alittle contradictory from the expected, SET'A' was voted the best in visual parameters however the best conditioning method for the Mammoth Red Daisy was provided by SET 'C' from the experiment conducted which contained a solution of bleach, citric acid and sucrose, prepared in distilled water. Conclusion: According to the findings of the experiment and the observations made, it was found that the solution made in distilled water with bleach, citric acid, and sucrose proved to be the most effective in conditioning the Mammoth Daisy. Thus, it can be inferred that applying the aforementioned solution can significantly delay the early aging of cut flowers, lengthen their life, and aid in achieving sustainability.
STUDI DESKRIPTIF PADA PROFIL PERILAKU ADIKSI GAME ONLINE SISWA KELAS XI SMAN 10 PANDEGLANG
Authors: Widiatmoko Mualwi , Ardini Fadhila Malasari , Dwiyanti Ayi 
Published: April 2023

The purpose of this study was to reveal the data and facts about the level of online game addiction among students. This study used a quantitative approach with a descriptive method. The subjects in the study were students of class XI SMA Negeri 10 Pandeglang for the Academic Year 2021/2022, which were 531 students. The data in this study was analyzed using descriptive statistics and the percentage technique. The results showed that 70.37% of students are currently in a state of high addiction, which means students feel uncontrollable compulsions in themselves to repeat the behavior of playing online games and don't care about the negative consequences that come with them. Meanwhile, 29.63% of students are currently in the low addiction category, namely students are able to control their compulsions to play online games and care about the negative consequences that come with them
Efecto de protecciones individuales en el crecimiento inicial de liquidámbar
Authors: Löewe Muñoz Verónica , González Ortega Marta 
Published: April 2023

El crecimiento del sector forestal se ha basado en el cultivo de dos especies (pino radiata y eucalipto) establecidas como monocultivo. Existe cada vez mayor conciencia sobre la necesidad de diversificar la actividad forestal, tanto en cantidad de especies como en los modelos productivos. En este marco resulta interesante la utilización de especies madereras de alto valor en plantaciones forestales, así como la aplicación e implementación de técnicas que permitan mejorar el crecimiento y la calidad de la madera. Este artículo presenta resultados de una plantación de liquidámbar (Liquidambar styraciflua), de 3 años, establecida con distintos tipos de protecciones individuales. Liquidambar es una de las especies de alto valor considerada en el proyecto “Silvicultura de especies no tradicionales, una mayor diversidad productiva”, financiado por el FIA y ejecutado por INFOR, donde se analizó el efecto de distintos tipos de protecciones sobre el crecimiento inicial de la especie. Las protecciones probadas corresponden al tradicional (Tubex) y a dos protectores artesanales, construidos con material de desecho para reducir costos.
Regeneración natural o plantación, análisis de experiencia tras 20 años de crecimiento de roble (Nothofagus obliqua) en Panguipulli, Chile.
Authors: Müller-Using Wenzke Sabine , Rojas Ponce Yasna , Müller-Using Burkhard , Martin Stuven Marjorie 
Published: April 2023

En el contexto de los compromisos de Chile frente a la estrategia de Cambio Climático y de las metas de reforestación que se ha propuesto Chile, se generarán nuevos bosques con especies nativas a través de plantaciones. El objeto de este estudio de caso es la descripción de similitudes y diferencias de tales plantaciones respecto a bosques naturales de segundo crecimiento. Se compara un bosque plantado y un bosque natural de roble (Nothofagus obliqua) en términos de crecimiento, calidad y biodiversidad. Ambos rodales se encuentran en la misma ladera con exposición sur en las cercanías de Panguipulli, Chile y han sido raleado dos veces. En ambos rodales se tomaron parámetros dasométricos de los rodales, en el caso del bosque natural se extrajo tarugos de crecimiento para evaluar la edad y su reacción a los raleos. Como resultado se obtuvo un mayor crecimiento en el bosque plantado, pero mejores calidad y mayor biodiversidad en el bosque natural. Los rodales están aún muy jóvenes para un análisis económico concluyente. Sin embargo, se pudo comprobar que, sin una diferenciación de productos, los valores de la plantación de 21 años y del bosque secundario de 30 años son similares. Aún no está determinado como se desarrollará el valor en el momento de la diferenciación de productos.
PROBLEMATIKA PEMBELAJARAN PENDIDIKAN AGAMA ISLAM PADA SISWA TUNARUNGU
Authors: Rahman Qonita Miftahur , Hidayat Yunan , Sukari S , Ulfah Yetty Faridatul 
Published: April 2023

This study aims to determine the problems of learning Islamic religious education in deaf students. This research is qualitative, the data collection is carried out by interviews, observations and documentation. Meanwhile, data analysis is carried out by data reduction, data presentation and drawing conclusions. The subjects in this study were deaf students and Islamic religious education teachers, and accompanying teachers of deaf students at SLB Giri Wiyata Dharma Wonogiri. The results showed that: deaf students are students who have hearing impairments. Islamic religious education learning in deaf students at SLB Giri Wiyata Dharma Wonogiri uses an individual learning program (PPI) created for each student so that teachers can measure the level of students' abilities. The learning methods applied to the learning process are the lecture method, the question and answer method, and the demonstration method. The problems of learning Islamic religious education in deaf students are (1) the factor of student blindness becomes an obstacle in learning (2) educators who are important factors in the course of learning (3) Lack of learning media. The solution is to use an individualized approach when implementing learning, using oral methods, reading, and manual methods. PAI teachers and accompanying teachers of deaf students play an important role in overcoming the problems experienced by each student in learning. Efforts in overcoming pai learning problems in deaf students of SLB Giri Wiyata Dharma Wonogiri were carried out during the learning.
IMPLEMENTASI PROGRAM PEMBELAJARAN MENTORING DALAM PEMBENTUKAN AKHLAK
Authors: Hanifah Fadlilah Anisa , Syamsuddin S , Fatchurrohman Muhammad , Fatimah Meti 
Published: April 2023

The purpose of this study was to determine the implementation of the mentoring learning program in moral formation. The research is a qualitative research. The subject of research was SDIT Mutiara Insan Sukoharjo. The data collection technique in this study was through observation, interviews and documentation. Then the data analysis in this study used data analysis, namely data reduction, data presentation, and data verification. The results of study indicated that mentoring learning at SDIT Mutiara Insan Sukoharjo is carried a week, on Saturdays, the mentoring learning program must be followed by all students from grade 1 to grade 6 because mentoring learning at SDIT Mutiara Insan Sukoharjo is included in KBM hours. Mentoring learning is guided by the assisted homeroom teacher and is helped the homeroom teacher. There are many supporting factors in this program, starting from finance, facilities, competent teachers and other supports. As for the inhibiting factors, namely: the lack of learning time alloted for mentoring learning and lack of awareness from parents about the importance of implementing of mentoring learning in character building because they are busy work. The general purpose of this mentoring program is to assist and direct students in reviewing and applying religious practices in themselves so that they have noble character that is supported by good knowledge mastery which is then able to practice their knowledge while still being based on true faith.
Preface: 3rd International Conference on Financial Economics and Investment Management (FEIM 2023)
Authors: Gregory Rupert , Fan Dongxin 
Published: April 2023

The 2023 3rd International Conference on Financial Economics and Investment Management (FEIM 2023) was held on February 11-12, 2023 in Yokohama, Japan. FEIM 2023 aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of finance, investment, economics, business and marketing management. This conference also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in these fields.
FEIM 2023 offers the opportunity for engineers, scientists, professionals, policymakers, investors, and other parties to review recent developments in these areas. The conference covers many topics under different fields. The outcome of the lectures, expert discussions and presentations will help our societies and will open new avenues. All papers published in this volume have been peer reviewed through processes administered by the editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal.
FEIM Organizing Committees
Yokohama, Japan
Research Perspective in Flexible Hand Exoskeleton
Authors: Li Tianran 
Published: April 2023

The purpose of writing this review paper is to make it more convenient for the public to use and adapt to hand exoskeletons, especially to enhance the promotion of flexible hand exoskeletons, and to put forward some of my own views. In recent years, a flexible exoskeleton human-machine intelligent system has become a new research hotspot in the fields of robotics, electromechanical engineering, automatic control, bioengineering and artificial intelligence, and has been widely used in scientific research, industrial production, space or deep-sea exploration, entertainment, etc. Sports rehabilitation and daily life have gradually been widely used. Flexible exoskeletons are most commonly used in the medical and biological fields. The human-machine intelligent technology of a flexible exoskeleton takes man-machine integration technology as the core, and the advantages of people and intelligent machines can be fully utilized. Through organic human-machine coupling, perception and decision-making at the execution level, the performance of the system is enhanced. Teleoperated exoskeletons and augmented exoskeletons are two important research directions for flexible exoskeleton human-machine intelligent systems.
A Survey on Improved GAN based Image Inpainting for Different Aims
Authors: Wang Nanxiang 
Published: April 2023

Computer Vision (CV) is an important field of Artificial Intelligence (AI) that focuses on processing and analyzing the visual data input like images or videos. And image inpainting technique is a task of reconstructing image with missing parts by using the information of the existing part, which becomes a crucial part in CV. It has various image processing applications such as digital cultural heritage preservation, old photograph restoration and object removal. The researchers found that using generative adversarial network can extract the feature from image without huge amount of computation which are two main challenges of image inpainting, therefore GAN-based inpainting method has recently been a hub for research. In this paper, we review most of the latest improved image inpainting methods and divide them into three categories according to their different aims: for semantic image inpainting, for generating higher diversity and for irregular or free-form image input. Firstly, we review the methods from structure and algorithm. Then we analyze the advantages and disadvantages of each method. Finally, we conclude the challenges or limitations raised from our findings and some potential development trend.
PHÂN CẤP QUẢN LÝ TRONG HỆ THỐNG CƠ QUAN, TỔ CHỨC NHÀ NƯỚC, NHỮNG RÀO CẢN TRONG QUÁ TRÌNH TỔ CHỨC VÀ THỰC HIỆN
Authors: Tống Duy Tình , Đậu Thế Tụng , Nguyễn Phương Hiệp , Nguyễn Ngọc Minh 
Published: April 2023

Trong bối cảnh Việt Nam đang đẩy mạnh cải cách hành chính, phân cấp trong quản lý nhà nước (phân cấp quản lý hành chính) nhằm tăng quyền tự chủ, tự chịu trách nhiệm của các cơ quan, tổ chức là một xu thế tất yếu được Đảng, Nhà nước luôn quan tâm và đã ban hành nhiều văn bản chỉ đạo. Tuy nhiên, trên thực tế việc phân cấp đã mang lại hiệu quả gì? Còn những rào cản nào? Việc thực hiện phân cấp quản lý nhà nước trong hệ thống cơ quan, tổ chức như thế nào để tăng quyền tự chủ, tự chịu trách nhiệm của mỗi cơ quan, tổ chức trong hệ thống quản lý nhà nước để đảm bảo được sự quản lý thống nhất của Nhà nước? Đây là những vấn đề lý luận và thực tiễn đang đặt ra cấp thiết cần phải được nghiên cứu.
Pengembangan Geographic Information System (GIS) guna Pengelolaan Komoditas Tanaman Cabai
Authors: Sukmawati Karina , Rahmah Amalia 
Published: April 2023

Penelitian ini berfokus pada implementasi sistem informasi geografis menggunakan software ArcGIS 10.8 untuk pengelolaan perkebunan cabai di Desa Clekatakan Kab. Pemalang. Tujuan penelitian ini adalah implementasi sistem informasi geografis (SIG) pengelolaan perkebunan cabai yang dapat menampilkan persebaran luas perkebunan dan merancang SIG yang mempunyai fitur menghitung prediksi produksi cabai di tahun selanjutnya, serta mengetahui hasil evaluasi dari implementasi sistem yang dibuat. Metode pengembangan yang digunakan adalah Ratioanal Unified Process (RUP). Penelitian ini bersifat mix method, yaitu kombinasi jenis penelitain kuantitatif dan kualitatif. Penelitian kualitatif dengan pendekatan studi kasus untuk merancang SIG yang akan diimplemetasi. Penelitian kuantitatif untuk pengeolahan data prediksi produksi. Untuk melakukan prediksi menggunakan metode forecasting (peramalan) Double Exponential Smoothing Holt. Hasil penelitian ini adalah penyajian informasi pemetaan perkebunan menggunakan Arcgis 10.8 untuk pengelolaan perkebunan cabai. Hasil evaluasi sistem menggunakan metode Black Box dan User Acceptance Test (UAT) yang dilakukan oleh user menyatakan bahwa sistem berhasil diimplementasi dan cukup membantu untuk memonitoring perkebunan cabai di Desa Clekatakan. Sistem yang dibuat dalam penelitian ini berhasil merancang peta sebaran luas perkebunan cabai dan informasi perkebunan lainnya, serta prediksi masa panen dengen menggunakan software ArcGIS Dekstop 10.8. Fitur prediksi produksi berhasil diimplementasi di sistem yang berbeda yaitu diimplementasi di Microsoft Excel.
Telemedicine pada Layanan Tuberkulosis (Literature Review)
Authors: Munawaroh Siti Muhimatul , Permanasari Vetty Yulianty 
Published: April 2023

Pandemi Covid-19 saat ini telah membatasi pergerakan masyarakat untuk mengakses layanan kesehatan. Hal ini mengakibatkan berkurangnya akses terhadap pengobatan tuberkulosis dan telah mengakibatkan peningkatan kematian. Saat ini, pemerintah telah menganjurkan penggunaan alat dan teknologi digital seperti telemedicine untuk perawatan pasien. Tujuan penelitian ini untuk mengetahui bagaimana penerapan telemedicine pada layanan tuberkulosis. Studi ini menggunakan metodologi Systematic Literatur Review dengan sumber data publikasi artikel ilmiah dari database Google Scholar, PubMed, ScienceDirect, dan ProQuest. Berdasarkan 6440 artikel yang diperoleh pada awal pencarian, pada akhirnya didapatkan 18 artikel yang memenuhi kriteria inklusi dan ekslusi penelitian ini. Hasil pelaksanaan implementasi telemedicine dalam pelayanan tuberkulosis dilakukan dengan menggunakan terapi DOT (Direct Observation Treatment) menggunakan Video atau vDOT (Video Direct Observation Treatment), ketika kegiatan telemedicine lainnya dilakukan melalui telepon langsung, pengiriman pesan teks suara secara berkala untuk pengingat pasien, vDOT dilakukan secara sinkronis melalui unggahan atau asinkron melalui perekaman video. Platform telemedicine bermanfaat bagi tenaga kesehatan dalam menanggulangi dan mencegah tuberkulosis yang memerlukan pengawasan intensif pada pasien, sehingga pasien dapat dipantau secara teratur, mengurangi pasien putus obat dan meningkatkan keberhasilan pengobatan tuberkulosis. Terdapat peluang untuk pembangunan aplikasi telemedicine di Indonesia yang berfokus pada penggunaan vDOT.
Analisis Kesiapan Teknologi Informasi UMKM Kota Madiun menuju Pasar Digital
Authors: Anardani Sri , Putera Andi Rahman , Azis Muh Nur Luthfi , Octavian Surya Kharisma 
Published: April 2023

Tujuan dari kegiatan analisis ini adalah untuk mengetahui data kesiapan pelaku UMKM di Kota Madiun menuju pasar digital. Penelitian ini menggunakan pendekatan penelitian berbasis survei yang dilakukan dengan metode cross section. Pengambilan data penelitian dilakukan secara serentak dan langsung pada objek penelitian. Populasi pada penelitian adalah UMKM yang ada di kota Madiun dengan jumlah sampel 108 UMKM. Sumber data pada penelitian ini adalah data primer yang diperoleh melalui penyebaran kuesioner, dimana instrumen penelitian kuesioner di rancang dengan pendekatan model integrasi ELR (E-learning Readiness). Teknik analisis data menggunakan analisis deskriptif dengan pendekatan kesiapan dari Aydin dan Tasci dengan mengukur kesiapan berdasarkan empat faktor yaitu teknologi, inovasi, manusia dan pengembangan diri. Kesimpulan dari penelitian ini adalah faktor teknologi tidak siap dan butuh sedikit perbaikan yaitu ketersediaan perangkat keras bagi pelaku UMKM untuk menunjang kegiatan pemasaran digital. Faktor inovasi, SDM dan pengembangan diri menunjukkan siap namun membutuhkan peningkatan agar proses pemasaran digital bisa dilaksanakan dengan baik.
Klasifikasi Penderita Diabetes menggunakan Algoritma Machine Learning dan Z-Score
Authors: Karo Karo Ichwanul Muslim , Hendriyana Hendriyana 
Published: April 2023

Diabetes merupakan salah satu penyakit mematikan dan kronis ditandai dengan peningkatan gula darah. Banyak komplikasi terjadi jika diabetes tidak diobati dan tidak teridentifikasi. Proses identifikasi umumnya dilakukan dengan kunjungan ke pusat diagnostik dan dokter konsultasi membuat pasien bosan. Pendekatan machine learning dapat memecahkan masalah identifikasi penyakit diabetes. Namun, rentang nilai variabel penentu penyakit diabetes yang tidak seimbang mempengaruhi kualitas hasil machine learning. Penelitian ini memprediksi kemungkinan diabetes pada pasien penderita diabetes dari 768 wanita Indian, dengan tiga algoritma klasifikasi machine learning dan metode normalisasi Z-Score. Adapun algoritma machine learning yang digunakan adalah Decision Tree, Support Vector Machine (SVM) dan Naive Bayes. Eksperimen dilakukan pada Pima Indians Diabetes Database (PIDD) yang bersumber dari UCI Machine Lerning Repository. Kinerja ketiga algoritma dievaluasi menggunakan dengan akurasi, Precision, F1, dan Recall berdasarkan confusion matrix. SVM merupakan algoritma yang memiliki performansi paling tinggi dibandingkan dengan algoritma Naive Bayes dan Decision Tree, dengan akurasi 80.73% dan F1 76 %. Metode Z-Score berkontribusi positif dalam meningkatkan akurasi model klasifikasi. Lebih lanjut, penelitian ini juga berhasil mendapat akurasi yang lebih tinggi dari penelitian sebelumnya.