bluuebunny/crossref_metadata_2025_split huggingface dataset:
Subscleral trabeculectomy with Ologen implant versus mitomycin C in primary infantile glaucoma
Authors: Kassem Rehab R. , Esmael Amanne F. 
Published: February 2024

PURPOSE:
The purpose of this study is to compare the effect of subscleral trabeculectomy (SST) augmented with mitomycin C (MMC) versus Ologen implant as secondary procedures for treatment of primary congenital glaucoma.

METHODS:
This is a retrospective study evaluating records of 38 eyes that had undergone SST with MMC (Group M, 17 eyes) versus Ologen (Group O, 21 eyes) by the authors of the study. The study primary endpoint was set at 5–9 months postoperatively, and the secondary endpoint was the last follow-up. A successful outcome was an intraocular pressure (IOP) ≤18 mmHg for infants <1 year and ≤20 mmHg for older ones.

RESULTS:
The follow-up duration was 1.25–51 (26.79 ± 27.583) months in Group M and 0.25–103 (22.86 ± 28.991) months in Group O (P = 0.673). The mean preoperative IOP was 28.06 ± 3.929 in Group M and 26.95 ± 6.095 in Group O (P = 0.522). A reduction of IOP was significant in Group M at all follow-up visits but starting at the 4th postoperative month in Group O. Recorded IOP in Groups M and O, respectively, was 14.9 ± 6.437 and 12.1 ± 5.043 at the primary endpoint and 22.35 ± 8.536 and 22.52 ± 10.152 (P > 0.05) at the secondary endpoint. A successful outcome was achieved in Groups M and O, respectively, in 47.1% and 47.6% at the primary endpoint and in 47.1% and 52.4% at the secondary endpoint (P > 0.05). Cataract, posterior synechiae, and pupillary abnormalities were insignificantly different in both the groups (P = 0.623).

CONCLUSION:
Ologen implant was comparable to MMC in terms of efficacy and safety. Reoperations are inadvisable before 4 months of Ologen implants.
Adverse reactions of cycloplegic and mydriatic eye drops in routine ophthalmologic examination of pediatric patients in Saudi Arabia: A retrospective study and survey of pediatric ophthalmologists
Authors: Aldamri Aljawhara , AlKhaldi Saleh A. , Alshuhayb Bayan S. , Almutairi Reem T. 
Published: February 2024

PURPOSE:
The purpose of this study was to explore the side effects of using cycloplegic eye drops at ophthalmology clinics at King Saud Medical City (KSMC) in Riyadh, Saudi Arabia. Moreover, to have an insight into physicians’ attitude towards the management of these side effects.

METHODS:
A retrospective cross-sectional study where medical records of pediatric patients who attended ophthalmology clinics at KSMC. Subjects were selected after reviewing their files and based on their reaction to the ocular drops. In addition, the response of ophthalmologists was obtained through a questionnaire distributed through electronic channels.

RESULTS:
A total of 111 patients’ medical records were included in this study. The most reported cycloplegic agents that caused side effects were cyclopentolate 1%, tropicamide 1%, and phenylephrine 2.5%. Fifty-three percentage of physicians reported that changing their way of administering cycloplegic drops in practice plays a role in reducing some side effects. The most reported side effects of using cycloplegic eye drops were facial flushing 68%, followed by fever 46%, and irritability 38% of cases. Few children who experienced side effects needed medical intervention.

CONCLUSION:
Side effects caused by cycloplegic agents are usually mild and rarely severe. There are some systemic side effects such as hallucinations, psychosis, or seizures. Proper parental counseling before administering cycloplegic agents and proper clinical management in case of severe side effects is crucial. Prophylactic measures to reduce the incidence of these side effects are advisable.
Deep Learning-Based Traffic Accident Prediction: An Investigative Study for Enhanced Road Safety
Authors: M Girija , V Divya 
Published: February 2024

INTRODUCTION: Traffic accidents cause enormous loss of life as well as property, which is a global concern. Effective accident prediction is essential for raising road safety and reducing the effects of accidents. To increase traffic safety, a deep learning-based technique for predicting accidents was developed in this research study.
OBJECTIVES: It gathers a large amount of data on elements including weather, road features, volume of traffic, and past accident reports. The dataset goes through pre-processing, such as normalization, to ensure that the scales of the input characteristics are uniform. Normalizing the gathered dataset ensures consistent scaling for the input features during the data processing step. This process enables efficient model training and precise forecasting. In order to track and examine the movement patterns of automobiles, people, and other relevant entities, real-time tracking and monitoring technologies, such as the deep sort algorithm, are also employed.
METHODS: The model develops a thorough grasp of the traffic situation by incorporating this tracking data with the dataset. Convolutional Neural Networks (CNN), in particular, are utilized in this research for feature extraction and prediction. CNNs capture crucial road characteristics by extracting spatial features from images or spatial data. With its insights into improved road safety, this study advances the prediction of traffic accidents.
RESULTS: A safer transport infrastructure could result from the developed deep learning-based strategy, which has the potential to enable pre-emptive interventions, enhance traffic management, and eventually reduce the frequency and severity of traffic accidents.
CONCLUSION: The proposed CNN demonstrates superior accuracy when compared to the existing method.
Robustness of the Data-Driven Identification algorithm with incomplete input data
Authors: Dalémat Marie , Coret Michel , Leygue Adrien , Verron Erwan 
Published: February 2024

Identifying the mechanical response of a material without presupposing any constitutive equation is possible thanks to the Data-Driven Identification algorithm developed by the authors. It allows to measure stresses from displacement fields and forces applied to a given structure; the peculiarity of the technique is the absence of underlying constitutive equation. In the case of real experiments, the algorithm has been successfully applied on a perforated elastomer sheet deformed under large strain. Displacements are gathered with Digital Image Correlation and net forces with a load cell. However, those real data are incomplete for two reasons: some displacement values, close to the edges or in a noise-affected area, are missing and the force information is incomplete with respect to the original DDI algorithm requirements. The present study proves that with appropriate data handling, stress fields can be identified in a robust manner. The solution relies on recovering those missing data in a way that no assumption, except the balance of linear momentum, has to be made. The influence of input parameters of the method is also discussed. The overall study is conducted on synthetic data: perfect and incomplete data are used to prove robustness of the proposed solutions. Therefore, the paper can be considered as a practical guide for implementing the DDI method.
L'identification de la réponse mécanique d'un matériau sans présupposer d'équation constitutive est possible grâce à l'algorithme Data-Driven Identification développé par les auteurs. Il permet de mesurer les contraintes à partir des champs de déplacement et des forces appliquées à une structure donnée ; la particularité de la technique est l'absence d'équation constitutive sous-jacente. Dans le cas d'expériences réelles, l'algorithme a été appliqué avec succès sur une feuille d'élastomère perforée déformée sous une grande contrainte. Les déplacements sont recueillis par corrélation d'images numériques et les forces nettes à l'aide d'une cellule de charge. Cependant, ces données réelles sont incomplètes pour deux raisons : certaines valeurs de déplacement, près des bords ou dans une zone affectée par le bruit, sont manquantes et les informations sur les forces sont incomplètes par rapport aux exigences de l'algorithme DDI d'origine. La présente étude prouve qu'avec un traitement approprié des données, les champs de contrainte peuvent être identifiés de manière robuste. La solution repose sur la récupération des données manquantes de manière à ce qu'aucune hypothèse, à l'exception de l'équilibre de la quantité de mouvement linéaire, ne doive être faite. L'influence des paramètres d'entrée de la méthode est également discutée. L'étude globale est menée sur des données synthétiques : des données parfaites et incomplètes sont utilisées pour prouver la robustesse des solutions proposées. Par conséquent, le document peut être considéré comme un guide pratique pour la mise en œuvre de la méthode DDI.
Nilai-Nilai Tradisi Rabas Sowan di Bulan Ramadhan Pada Masyarakat Desa Talapao Kecamatan Malifut Perspektif Pendidikan Islam
Authors: Abdullah Rofandi T H. , Buamona Nurmala , Kamaluddin Nurain 
Published: February 2024

Penelitian ini bertujuan untuk mengkaji (1). Bagaimana tata cara Rabas Sowan pada masyarakat Desa Talapao Kecamatan Malifut; (2). Bagaimana nilai-nilai tradisi Rabas Sowan di bulan ramadhan pada masyarakat Desa Talapao dalam prespektif pendidikan Islam; (3). Bagaimana hikmah yang terkandung dalam tradisi Rabas Sowan di bulan ramadhan pada masyarakat Desa Talapao Kecamatan Malifut. Penelitian ini menggunakan pendekatan kualitatif yang proses penilaianya menghasilkan data deskriptif yaitu berupa data tertulis dari orang dan perilaku yang dapat di amati, jenis data yang digunakan dalam penelitian ini ada dua yaitu data primer dan data sekunder, data yang berasal dari sumber pertama atau di ambil secara langsung dan data yang tidak langsung, pada sumbernya atau melalui orang lain, dokumentasi dan catatan tertulisdan yang relevan. Hasil penelitian ini adalah sebagai berikut (1).tata cara dalam pelaksanaan kegiatan Rabas Sowan, dimulai dari menyiapkan bahan-bahan yang diperlukan,seperti,pohon pisang,tebuh, tulang daun kelapa, kertas minyak, balon, ketupat dan kue andara (kue tradisional), kemudian dihias dijadikan pohon Sowan, setelah itu dirabas (rampas) tepat jam 18:00 (2). Nilai-nilai pendidikan Islam yang ditemukan dalam tradisi Rabas Sowan seperti nilai pendidikan syariah pada kegiatan sedekah dan doa, nilai pendidikan akhlak ditemukan pada seluruh rangkaian kegiatan, karena sesuai dengan tujuan pendidikan akhlak, jika dilihat dari aspek nilai pendidikan aqidah, maka tidak di temukan sesuatu hal yang menyimpang dari tradisi Rabas Sowan ini, dalam hal ini boleh boleh saja dilakukan selama tidak bertentangan denga Al-Qur’an dan Hadits.(3).hikmah yang terkandung didalamnya; (1) Anak-anak dapat mengetahui malam ke 27 Ramadhan adalah malam lailatul qadar (malam pancona, (2).Anak dibawah umur sudah bisah berpuasa, (3). Akhlak anak mulai tertanam dalam diri, (5). Mengajarkan smangat dan pentingnya berjuang dalam mengejar mimpi, (6). anak dapat mengetahui pentingnya bersedekah, (7). Dapat menjalin silaturahmi antara sesama umat Muslim.
Comparative Welfare Analysis of German Public Policies
Authors: Setio Ezra Sebastian 
Published: February 2024

This paper implements the comparative welfare analysis method Marginal Value of Public Funds (MVPF) developed by Hendren and Sprung-Keyser (2020) for historical public policies in Germany between 1990–2018 across the domains of taxation, job training, social insurance, and infrastructure. It contributes to the public finance literature by constructing among the first MVPF collections of public policies outside the United States, identifying key similarities and differences between MVPF results of the two nations, expanding the MVPF framework into the field of public infrastructure, and shedding light on the approach’s particular weaknesses. German tax reforms generated positive and significant MVPFs; retirement and unemployment insurance policies yielded relatively small MVPFs, and child treatment scored the largest MVPF among health insurance programs.
Keywords: public policy, policy evaluation, welfare analysis
JEL : H21, H41, H50, I38
ANALISIS PENGELOLAAN DANA DESA PADA DESA PERAPAT HULU KECAMATAN BABUSSALAM KABUPATEN ACEH TENGGARA
Authors: Malahayati Rina , Nurmala Nurmala 
Published: February 2024

This study aims to determinane the accountabiliy of village fund management in The process of administration, reporting and village accountability in Perapat Hulu Village, Babussalam District, Southeast Aceh Regency in 2022-2023.This Study Uses primary data obtained through interviews with village officials and village Communities and secondary data in the form of documents of the Perapat Hulu Village.This research method uses qualitative descriptive analisys. The results of This study indicate that the 2022 Perapat Hulu Village administration stage is In accordance with the Southeast Aceh Perbub.In the reporting process, Perapat Hulu Village has Made a report in accordance with the Southeast Aceh Perbub where Perapat Hulu Village report the reports on the use of village fund every three times a year. In The accountability process, Perapat Hulu Village has carried out accountability in Accordance with the Southeast Aceh Perbub, where the Perapat Hulu Village Provides information in a transparan manner.
Peningkatan Kemampuan Menulis Kalimat Rumpang melalui Media Audio Visual Berbasis Digital Kelas III di SD Gelam 1 Candi
Authors: Azizah Nur , Wachidah Kemil 
Published: February 2024

Penelitian ini bertujuan untuk mengetahui pengaruh media audio visual berbasis digital dalam menulis kalimat rumpang pada siswa SD Negeri 1 Gelam Kecamatan Candi Kabupaten Sidoarjo. Adapun yang menjadi variabel pada penelitian ini adalah media audio visual sebagai variable bebas, sedangkan hasil belajar siswa sebagai variable terikat. Analisis data dalam penelitian ini yaitu dengan menggunakan teknik analisis data deskriptif; dan analisis statistika inferensial. Hasil penelitian menunjukkan bahwa hasil belajar sebelum menggunakan media audio visual berbasis digital menunjukkan rata-rata 60,80; kemudian rata-rata hasil belajar siswa setelah menggunakan media audio visual adalah 79,20. Hal ini menunjukkan nilai peserta didik mengalami peningkatan nilai rata-rata sebesar 18,40. Dan pengaruh penggunaan media audio visual sangat berpengaruh; Jika ditinjau dari persentase ketuntasan peserta didik dapat dikategorikan dalam “Sangat Berpengaruh” jika dibandingkan dengan sebelum menggunakan media audio visual.
Perilaku Prososial Anggota UKM KSR-PMI di Kabupaten
Authors: Nur isnaini Yuniar arifah , Handayani Panca Kursistin , Widyarini Nurlaela 
Published: February 2024

Perilaku Prososial (prosocial behavior) yaitu tindakan menolong yang menguntungkan orang lain tanpa harus menyediakan suatu keuntungan langsung serta dapat menimbulkan resiko bagi penolong. Sebagai anggota KSR-PMI dan sebagai relawan diharuskan untuk memiliki perilaku prososial yang baik. Tujuan penelitian untuk mengetahui perilaku prososial anggota UKM KSR-PMI di Kabupaten Jember. Menggunakan metode kuantitatif deskriptif dengan Skala Perilaku Prososial. Populasi yang digunakan sebanyak 388 mahasiswa dan sampel 186 anggota UKM KSR-PMI di lima Universitas Kabupaten Jember. Teknik penelitian menggunakan simple random sampling. Hasil uji validitas (19 item valid dengan hasil α = 0,927). Secara keseluruhan, hasil penelitian menunjukkan perilaku prososial anggota UKM KSR-PMI berada pada kategori tinggi. Ditinjau dari kategori perilaku prososial berdasarkan aspek, mahasiswa UKM KSR-PMI berada di kategori tinggi. Ditinjau dari lama bergabung, sudah terjun lapang dan jenis kelamin termasuk dalam kategori tinggi. Berdasarkan usia 18-20 anggota KSR-PMI termasuk dalam kategori tinggi sedangkan untuk usia 21-25 termasuk dalam kategori rendah.
Grading Between the Locales: Socioeconomic Status and Ninth-Grade Course Failures
Authors: Morris Sarah Ruth 
Published: February 2024

This study explores the grading disparities among ninth-grade students within the American educational system, emphasizing the comparative analysis between economically disadvantaged students (indicated by Free or Reduced-Price Lunch status) and their more advantaged counterparts across urban, suburban, and rural locales. Drawing on a robust dataset of 65,017 first-time, full-time ninth graders from Arkansas, spanning the academic years 2020-21 to 2021-22, this research employs logistic regression analysis to uncover the nuanced relationships of socioeconomic status and geographical setting on course failure rates. The ninth grade is highlighted as a critical juncture in the U.S. educational trajectory, serving as a foundational year that significantly influences students' future academic and career pathways. My findings reveal that, although rural students initially present with lower failure rates, a detailed logit analysis accounting for individual and district-level characteristics demonstrates that rural ninth graders face the highest risk of course failure, especially among those with Free or Reduced Lunch (FRL) status. These results underscore the pressing need for implementing equitable grading practices and bolstering professional development for educators in rural areas to mitigate these disparities. This study contributes to the broader field of educational equity by highlighting systemic challenges and advocating for targeted interventions to support disadvantaged students, particularly in the pivotal year of ninth grade.

Received: 18 December 2023 | Revised: 2 February 2024 | Accepted: 21 February 2024

Conflicts of Interest
The author declares that she has no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Sosialisasi Dan Pemahaman Masyarakat Tentang Pembuatan Eco Enzyme Serta Pemanfaatannya Dalam Rumah Tangga
Authors: Susana Tabah Trina Sumihar  , Nainggolan Hotden , Elisabeth Sri Pujiastuti  , Ferlist Rio Siahaan  , Albina Ginting  , Yanto Raya Tampubolon  
Published: February 2024

This service activity aims to ensure that participants understand the importance of managing household organic waste to overcome environmental problems, increase participants' understanding regarding eco-enzymes and their use in the household; increase participants' understanding regarding the materials used to make eco-enzymes in the household. This counseling was carried out at the Church of HKBP Nommensen Resort Pulu Brayan Medan, to 50 parompuan community (Church Women's Community) of the HKBP Pulu Brayan as participants, then an evaluation was carried out on the 25 participants. The method of this service activity is; socialization by resource persons; discussion and direct practice in making eco-enzymes and evaluation processes. Based on the outreach activities carried out, it was concluded; a) there was an increase in participants' understanding regarding eco-enzymes and their use in the household; b) there was an increase in participants' understanding regarding the materials used to make eco-enzymes in the household; c) socialization and training on making eco enzymes for parompuan community in church of the HKBP Nommensen Pulu Brayan plays a role in increasing participants' knowledge about eco-enzymes and the process of making them, good environmental management, and the use of waste into environmentally friendly products. Based on the conclusions, it is recommended that ongoing outreach activities be carried out and include all members of the church congregation, so that they can utilize organic waste into environmentally friendly products.
ALGORITMA BACKPROPAGATION DALAM MEMPREDIKSI JUMLAH PENDUDUK YANG BELUM MELAKUKAN PEREKAMAN KTP ELEKTRONIK DI KOTA KENDARI
Authors: Rifaldhi Hamid Muhammad , Henny Henny , Sulkifli Said Muhammad 
Published: February 2024

Penelititian ini bertujuan untuk menghasilkan algoritma backpropagation dalam memprediksi jumlah penduduk yang belum melakukan perekaman ktp elektronik di kota kendari, adapun metode penelitian yang digunakan adalah studi literatur, pengumpulan data, tempat penelitian, tahapan dan Teknik backpropagation, analisis kebutuhan, perancangan sistem dan implementasi sistem. Manfaat yang dihasilkan pada penelitian ini yaitu sebuah backprogation yang dapat memudahkan pemerintah kota Kendari dalam hal ini Dinas Kependudukan dan Catatan Sipil Kota Kendari mengolah data kependudukan. Hasil yang didapatkan dari penelitian ini terdiri dari beberapa form yang akan tampil pada seperti form Data Kecamatan, Data, Proses, dan hasil. Dalam algoritma backpragation berhasil membantu pemerintah kota Kendari terutama dinas kependudukan dan catatan sipil kota Kendari dalam mengolah data kependudukan dan memprediksi jumlah penduduk yang belum melakukan perekaman KTP elektronik dikota Kendari. Berdasarkan hasil dari pembahasan serta pengujian yang telah dilakukan, maka dapat diambil kesimpulan bahwa Algoritma Backpropagation dalam memprediksi jumlah penduduk yang belum melakukan perekam KTP elektronik di Kota Kendari yang telah dibangun sudah sesuai dengan tujuan awal penelitian
PERANAN ANALISIS JABATAN DALAM PENEMPATAN PEGAWAI DI KANTOR CAMAT TALLO KOTA MAKASSAR
Authors: IBRAHIM IBRAHIM , TAMRIN USMAN 
Published: February 2024

This research aims to determine the role of job analysis in employee placement at the Tallo sub-district office, Makassar City. This research is a qualitative research. The unit of analysis for this research is an organization, namely the organization of the Tallo District Head Office, Makassar City. Data collection techniques use interviews, observation and document review. Judging from the categories of data that will be used, this type of research is descriptive qualitative. The results of the research show that in the Tallo District Office, Makassar City, there are 2 sub-divisions and 5 sections, with quite detailed job descriptions, so that the existing job descriptions have been implemented well because there is adequate understanding of each job description which is supported by the responsibilities in Carrying out your duties well, even with awareness of your obligations as an employee, which is implemented regarding the use of working time in accordance with existing regulations, is a guarantee that the workload will be met as expected.
ABSTRAKPenelitian ini bertujuan untuk mengetahui peranan analisis jabatan dalam penempatan pegawai di kantor camat Tallo kota Makassar. Penelitian ini merupakan penelitian kualitatif. Unit analisis penelitian ini adalah organisasi, yaitu organisasi Kantor Camat Tallo Kota Makassar. Teknik pengumpulan data menggunakan wawancara, observasi, dan telaah dokumen. Ditinjau dari kategori data yang akan digunakan, maka jenis penelitian ini adalah kualitatif deskriptip. Hasil penelitian menunjukkan bahwa di Kantor Kecamatan Tallo Kota Makassar terdapat 2 Sub Bagian dan 5 seksi, dengan job diskripsi yang cukup terperinci, sehingga job diskripsi yang ada telah dilaksanakan dengan baik karena adanya pemahaman yang memadai terhadap uraian tugas masing-masing yang ditunjang oleh tanggung dalam melaksanakan tugas dengan baik, bahkan dengan kesadaran akan kewajiban sebagai pegawai yang diimplementasikan terhadap penggunaan waktu kerja sesuai peraturan yang ada adalah menjadi jaminan akan termuatnya beban kerja sesuai yang diharapkan.