bluuebunny/crossref_metadata_2025_split huggingface dataset:
ENTES PÚBLICOS ESTADUAIS E O SISTEMA INTERAMERICANO DE DIREITOS HUMANOS: MAIOR EFETIVIDADE DA CONVENÇÃO INTERAMERICANA DE DIREITOS HUMANOS EXPLICADA PELA HERMENÊUTICA
Authors: Cunha Tais Macedo de Brito 
Published: January 2024

O distanciamento dos entes públicos estaduais do Sistema Interamericano de Direitos Humanos contribui para uma hierarquização axiológica equivocada da Administração Pública estadual na tomada de decisão interpretativa. O presente artigo pretende demonstrar que essa distorção cognitiva pode ser alterada com a participação efetiva dos estados nos processos em curso no Sistema Interamericano de Direitos Humanos, resultando em uma maior efetividade da Convenção Interamericana de Direitos Humanos na gestão pública estadual.
Geomorphological and hydrological controls on sediment export in earthquake-affected catchments in the Nepal Himalaya
Authors: Graf Emma L. S. , Sinclair Hugh D. , Attal Mikaël , Gailleton Boris , Adhikari Basanta Raj , Baral Bishnu Raj 
Published: January 2024

Abstract. Large earthquakes can contribute to mountain growth by building topography but also contribute to mass removal from mountain ranges through widespread mass wasting. On annual to decadal or centennial timescales, large earthquakes also have the potential to significantly alter fluvial sediment dynamics if a significant volume of the sediment generated reaches the fluvial network. In this contribution, we focus on the Melamchi–Indrawati and Bhote Koshi rivers in central Nepal, which have both experienced widespread landsliding associated with the 2015 Gorkha (Nepal) earthquake. Using a time series of high-resolution satellite imagery, we have mapped exposed sediment along the rivers from 2012–2021 to identify zones of active channel deposition and document changes over time. Counter to expectations, we show negligible increases in coarse-sediment accumulation along both river corridors since the Gorkha earthquake. However, an extremely high-concentration flow event on 15 June 2021 caused an approximately 4-fold increase in exposed sediment along a 30 km reach of the channel with up to 12 m of channel aggradation in the Melamchi–Indrawati rivers; this event was localised and did not impact the neighbouring Bhote Koshi catchment. Based on published reports, new helicopter-based photography, and satellite data, we demonstrate that this event was sourced from a localised rainfall event between 4500 and 4800 m and that a significant fraction of the sediment was supplied from sources that were unrelated to the landslides generated by the Gorkha earthquake.
PNEUMONIA PREDICTION USING CONVOLUTIONAL NEURAL NETWORK
Authors: Praskatama Vincentius , Sari Christy Atika , Rachmawanto Eko Hari , Mohd Yaacob Noorayisahbe 
Published: January 2024

Pneumonia is condition which our lungs become inflamed due to infection from viruses, bacteria, or fungi. Pneumonia can affect anyone, both adults and children. Because of this, prevention of pneumonia is important. Prevention can be done by the process of maintain our immunity and lungs. In this study, had been done classify pneumonia based on X-ray images. This study using X-ray images dataset with total data is 5840 images in .jpg extensions. With a total number of images from training data is 5216 images and number of images from the test data is 624 images. The dataset that used in this research has 2 main classes, namely class normal and pneumonia. Normal class indicates that the X-Ray results are not detected with pneumonia. While the pneumonia class indicates that the processed X-Ray results are diagnose affected by pneumonia. The purpose of this research is building model that can be used to classify pneumonia based on X-Ray images. The classification process carried out in this study uses the Convolutional Neural Network method. The purpose of using the CNN method in the classification process of this research is because, in the process, CNN can extract features automatically and independently, so that the data provided does not need to be preprocessing first, but the data still produces good extraction features and can provide accurate classification results. The results from the testing process is carried out to run or perform in the pneumonia classification process, the CNN model built obtained a classification test accuracy of 87.82051205635071%.
PERFORMANCE OF TEXT SIMILARITY ALGORITHMS FOR ESSAY ANSWER SCORING IN ONLINE EXAMINATIONS
Authors: Susanto Muhammad Riza Radyaka , Husni Thamrin  , Naufal Azmi Verdikha  
Published: January 2024

The purpose of assessment is to determine learning success. Exams with question descriptions have several advantages, including ease of preparation and the ability to reveal student comprehension and originality. The problem with space is that it takes time to fix. Therefore, it is important to develop algorithms and software that automatically evaluate space. With the help of this algorithm and this software, you can solve some exam and assessment problems. This study aims to investigate similarity algorithms that approximate human patterns in evaluating ambiguous answers. This study examines his five similarity algorithms, including TF-IDF and LSA. The data was a collection of correct answers with a total of 371 texts. The similarity algorithm's performance was compared with human correction results. Evaluation was performed using Root Mean Square Error (RMSE). This study shows that his TF-IDF algorithm like Jaccard has the lowest his RMSE compared to human judgement. However, the LSA algorithm tended better to follow human rating patterns for descriptive tests..
THE EFFECT OF UNIGRAM AND BIGRAM IN THE NAÏVE BAYES MULTINOMIAL FOR ANALYZING OF COMMENT SENTIMENT OF GOJEK APPLICATION IN GOOGLE PLAY STORE
Authors: Adyatma Adrian Dwinanda , Afuan Lasmedi , Maryanto Eddy 
Published: January 2024

In sentiment classification systems that use Naïve Bayes Classifier, a commonly used feature extraction method is TF-IDF with unigram and bigram, where the two is used separately. In the reality, most of texts contain single or composed word,so it is needed to use the combination of unigram and bigram to maximize the accuracy of the classification results. In this research, the impact and performance improvement between classification systems using unigram or bigram solely and those using a combination of both are studied. Using 1000 data of reviews with ratings 1 (negative) and 5 (positive) from Gojek users on the Google Play Store, and performing performance validation with K-Fold at K=10, the system that uses the combined TF-IDF feature extraction of unigrams and bigrams achieves the best performance among the three systems with an accuracy of 0.84, however the accuracy of the system that uses unigrams solely has accuracy of 0.83, and 0.7 for the system that uses bigram. From the results of the research, it can be concluded that the use of the combination of unigram and bigram can increase the accuracy of the classification result.
TRANSFER LEARNING IMPLEMENTATION ON IMAGE RECOGNITION OF INDONESIAN TRADITIONAL HOUSES
Authors: Firmansah R Arif , Santoso Handri , Anwar Agus 
Published: January 2024

Indonesia is the largest archipelago in the world that has cultural diversity, one of Indonesia's cultural wealth is the architectural uniqueness of the types of traditional houses that come from different tribes and regions. in this era of digitalization, the younger generation of this nation must continue to preserve cultural wealth, one of which is by building a system that can document and provide learning about image recognition of the archipelago's traditional houses. Thanks to Artificial Intelligence Technology, it is possible to create a smart model that functions as an image recognition with system learning by working with a neural network called deep learning, which is supported by a transfer learning algorithm that can utilize previous models that have been trained, one of which is the MobileNetV2, Resnet50, VGG16 and Xception models as an effort to get a model with high accuracy with limited dataset conditions. So, the purpose as well as the update of this research is to build an image recognition model of Indonesian traditional houses with the transfer learning method. The methods and stages used are CRISP-DM (Cross Industry Standard Process for Data Mining), a standard used to build applications that aim to gain insight from a dataset, the image dataset used in this study was created with the image scraper technique from the internet. The conclusion of this research is that an image recognition model of Indonesian traditional houses is produced by training experiments from 5 transfer learning models that have been determined and the greatest accuracy is obtained, namely 0.96% of the MobileNetV2 transfer training method, the potential for further development for future research is to add more classes and amount of data and design a more detailed and detailed deployment model.
Analisis Keamanan dan Kenyamanan pada Cloud Computing
Authors: Satrinia Dwina , Yutia Syifa Nurgaida , Matin Iik Muhamad Malik 
Published: January 2024

Cloud computing atau ‘komputasi awan’ menyajikan berbagai kemudahan untuk organisasi maupun individu dalam mengakses data dimanapun dan kapanpun. Cloud computing memiliki kelebihan seperti memberikan berbagai pilihan model layanan, jenis penyimpanan data, serta kustomisasi komputasi sehingga memberikan manfaat yang menarik yaitu efisiensi, efektif dan hemat biaya, tetapi hal tersebut tidak membuat cloud computing aman dari ancaman serangan keamanan. Konsep keamanan dibutuhkan untuk membantu manajemen pada organisasi maupun individu dalam melindungi dan melakukan pengamanan data pada layanan cloud. Selain itu, model kenyamanan juga diperlukan untuk membantu pengguna dalam menggunakan layanan cloud.
STUDI TEKNO-EKONOMI IMPLEMENTASI SPECTRUM SHARING PADA MOBILE NETWORK OPERATOR DI KOTA BANDUNG
Authors: Hafiza Lia , Hamdala Marcia Rizky 
Published: January 2024

Spektrum frekuensi adalah sumber daya terbatas pada sektor telekomunikasi, oleh sebab itu penggunaan dan pengelolaannya diatur oleh Negara. Selain itu, Negara harus menjamin setiap warga negara memperoleh informasi dan dapat berkomunikasi sesuai dengan yang diatur oleh konstitusi. Dalam beberapa tahun kedepan, pendapatan sektor telekomunikasi diprediksikan akan menurun. Terdapat dua solusi dari permasalahan tersebut, pertama dengan penghematan, kedua adalah masuk ke dalam lini bisnis baru. Pada penelitian ini, kami akan membahas terkait salah satu dari solusi tersebut, yaitu menggunakan penghematan dengan cara spectrum sharing.
Untuk melakukan penghematan, lebih dari 60% Mobile Network Operator (MNO) di dunia menggunakan Radio Access Network Sharing (RAN Sharing). RAN Sharing memiliki beberapa jenis teknologi, namun pada penelitian ini akan menggunakan Multi-Operator Core Network (MOCN). Keunggulan dari MOCN diantaranya adalah dapat digunakan untuk berbagi spektrum frekuensi yang menjadi solusi kelangkaan spektrum, menghemat biaya, dan mempercepat penggelaran jaringan ke daerah-daerah, serta dapat berdampak pada PDB di Indonesia.
Terdapat beberapa aspek yang melingkupi penelitian yang kami lakukan, yaitu aspek teknis dan ekonomi. Pada aspek teknis, kami membatasi penelitian pada daerah perkotaan. Daerah perkotaan yang akan menjadi objek penelitian kami adalah Kota Bandung dengan menggunakan perhitungan capacity planning. Dalam aspek ekonomi, nilai perhitungan Net Present Value (NPV) dari skenario sharing dan non-sharing dipetakan dengan pendekatan game theory untuk menganalisis hasil perhitungan NPV.
Hasil dari penelitian ini membuktikan bahwa, Multi-Operator Core Network (MOCN) kurang efektif apabila diimplementasikan pada daerah perkotaan, terkhususkan Kota Bandung. Hal ini diakibatkan, setelah menggunakan perhitungan capacity planning dan analisis game theory, cenderung tidak mendapatkan keuntungan jika spectrum sharing dilakukan antara Market Leader dengan para pesaing atau kompetitor.
Keywords: Network sharing, Multi Operator Core Network, Spektrum Frekuensi, Industri Telekomunikasi
Spatio-Temporal Analysis Polutan Karbon Monoksida (CO) Jakarta Selama Pandemi Menggunakan Sentinel-5P TROPOMI
Authors: Suryoprayogo Hertanto 
Published: January 2024

Memahami kualitas udara secara jangka panjang merupakan salah satu tantangan besar. Saat ini DKI Jakarta termasuk kota dengan dengan tingkat mobilisasi dan polusi yang paling tinggi. Namun tingkat polusi menurun sejak Covid-19 menyebar di Indonesia. Karbon dioksida (CO) sebagai salah satu polutan yang banyak dihasilkan dari sisa pembakaran kendaraan bermotor diteliti untuk melihat pengaruh adanya pembatasan kegiatan masyarakat selama pandemi dengan tingginya konsentrasi CO. Data citra satelit Sentinel-5P Tropomi diolah menggunakan Google Earth Engine untuk memonitoring kadar ambien CO. Spatio-temporal analysis dilakukan sebagai pendekatan dalam menganalisis data time series. Pola spatio temporal menunjukkan nilai konsentrasi vertical CO yang menurun jika dibandingkan sebelum terjadinya pandemi hingga 30%, dengan nilai koefisien regresi y = -0,2415x + 35,961 dan R² = 0,1456.
Acetabular cup size trends in total hip arthroplasty
Authors: McKenna Daniel Patrick , Price Alex , McAleese Timothy , Dahly Darren , McKenna Paul , Cleary May 
Published: January 2024

BACKGROUND
Total hip arthroplasty (THA) is a common procedure for end stage osteoarthritis. The learning curve for THA is complex and challenging. One of the most difficult skills to master is acetabular reaming. We wish to identify if experience in arthroplasty leads to preservation of more bone stock.
AIM
To investigate if increasing surgeon experience will predict an ever decreasing acetabular cup size.
METHODS
A retrospective case series of four attending orthopaedic surgeons was completed. All uncemented elective total hip arthroplasties since appointment were selected for inclusion. The size of acetabular cup used was noted and logistic regression was used to identify if a trend to smaller cups existed.
RESULTS
A total of 1614 subjects were included with a mean age of 64 years. Overall cups were on average 0.18mm smaller per year (95% confidence interval -0.25 to -0.11, P < 0.001). Individual surgeon trends showed cup sizes to decrease 0.27 mm/year for surgeon A, 0.02 mm/year for surgeon B, 0.15 mm/year for surgeon C and 0.29 mm/year for surgeon D. Three of the four surgeons had a more pronounced trend to smaller cups for male subjects than their female counterparts.
CONCLUSION
We found increasing surgeon experience to be associated with an ever-decreasing acetabular cup size. Smaller acetabular cup size may act as a surrogate marker of surgical proficiency by virtue of decreased acetabular reaming.
Epidemiologic investigation of pediatric distal humerus fractures: An American insurance claims database study
Authors: Klahs Kyle Jay , Dertinger Jake E , Mello Grant T , Thapa Kevin , Sandler Alexis B , Garcia E'Stephan J Jesus , Parnes Nata 
Published: January 2024

BACKGROUND
Distal humerus elbow fractures are one of the most common traumatic fractures seen in pediatric patients and present as three main types: Supracondylar (SC), lateral condyle (LC), and medial epicondyle (ME) fractures.
AIM
To evaluate the epidemiology of pediatric distal humerus fractures (SC, LC, and ME) from an American insurance claims database.
METHODS
A retrospective review was performed on patients 17 years and younger with the ICD 9 and 10 codes for SC, LC and ME fractures based on the IBM Truven MarketScan® Commercial and IBM Truven MarketScan Medicare Supplemental databases. Patients from 2015 to 2020 were queried for treatments, patient age, sex, length of hospitalization, and comorbidities.
RESULTS
A total of 1133 SC, 154 LC, and 124 ME fractures were identified. SC fractures had the highest percentage of operation at 83%, followed by LC (78%) and ME fractures (41%). Male patients were, on average, older than female patients for both SC and ME fractures.
CONCLUSION
In the insurance claims databases used, SC fractures were the most reported, followed by LC fractures, and finally ME fractures. Age was identified to be a factor for how a pediatric distal humerus fractures, with patients with SC and LC fractures being younger than those with ME fractures. The peak age per injury per sex was similar to reported historic central tendencies, despite reported trends for younger physiologic development.
Surgical treatment of an old avulsion fracture of the ischial tuberosity and ischial ramus: A case report
Authors: Chen Zi-Ru , Liao Shi-Jie , Yang Fu-Chun 
Published: January 2024

BACKGROUND
Avulsion fracture of the ischial tuberosity is a relatively clinically rare type of trauma that is mainly incurred by adolescents during competitive sports activities. According to previous literature, the most commonly involved sports are soccer, sprinting, and gymnastics, in descending order. Dance-induced avulsion fracture of the ischial tuberosity and ischial ramus is extremely clinically rare.
CASE SUMMARY
A case of a neglected avulsion fracture of the ischial tuberosity and ischial ramus was diagnosed in a young female dancer who complained of pain and restricted movement of her right hip. She stated that she had suffered the injury while performing a split leap during a dance performance 9 mo prior. Eventually, she underwent surgery and obtained satisfactory treatment results.
CONCLUSION
Early diagnosis of these fractures is important to ensuring early proper treatment towards a quicker recovery. For old fractures with nonunion and chronic buttock pain, surgery is a preferred therapeutic choice with good treatment outcomes.
In-person access to banking services in Spain: 2023 Monitoring Report.
Authors: Banco de España Banco de España 
Published: January 2024

This paper presents an analysis of recent developments in the accessibility of banking services in Spain, from the perspective of both supply (the in-person access points available) and demand (customer use and assessment).
According to the results obtained, the following main conclusions can be drawn:
i) The reduction in the number of bank branches between 2021 and 2022 was offset by the establishment of mobile branches in smaller municipalities and financial agents in larger municipalities.
ii) Between 2021 and 2022, the number of municipalities without any in-person points of access to banking services was reduced by 167 (2.1% of municipalities and 0.13% of the population).
iii) The percentage of municipalities without any in-person point of access to banking services decreased to a greater extent than in the case of other services, both those provided privately (shops and bars) and those with a certain component of public provision (health care and pharmacies).
SUBSTANTIVE ASPECTS OF ELECTRONICS INDUSTRY WASTE MANAGEMENT SYSTEM’S EFFICIENCY ASSESSMENT
Authors: КОРШУНОВА Л.Н. 
Published: January 2024

При проведении оценки эффективности любой системы управления необходимо сопоставление затрат и результативности управленческих действий по достижению поставленных целей. В статье рассматриваются критерии эффективности управленческих действий при управлении отходами электронной промышленности с точки зрения Иерархии управления отходами, закрепленной в Директиве № 75/442 [1]. Сформулированы критерии эффективности управления отходами для различных способов обращения с отходами, приведенных в Иерархии, с позиций экономического и экологического аспектов. Были применены методы анализа, синтеза, дедукции, индукции, сравнения, а также статистический метод. Систему управления электронными отходами предлагается рассматривать как систему, сформированную для достижения целей управления через управляющее воздействие субъекта управления на объект управления. В качестве объекта управления предлагается рассматривать все процессы обращения с отходами. Субъектами управления могут выступать как уполномоченные государственные органы, так и другие стейкхолдеры. Приоритетной целью управления рассматриваемыми процессами ставится минимизация негативного воздействия отходов на окружающую среду и минимизация их образования у источника. В качестве доходной статьи рассмотрено получение дохода от реализации вторсырья и возможного повторного использования отходов.
It is necessary to compare the costs and the effectiveness of management actions to evaluate the effectiveness of any management system. The criteria of management actions effectiveness and the electronics industry waste disposal have been considered. Ii is written in Waste Management Hierarchy, enshrined in Directive No. 75/442. The evaluation criteria of different waste management strategies (based on the Hierarchy) and economic and environmental aspects have been presented. Analysis, synthesis, deduction, induction, comparison and statistical methods have been used in the study. The system of electronic waste management is the structure formed to control administrative institution on the waste processes. The management subjects can be government bodies and other stockholders. The main management goal is to reduce waste and minimize waste impact on the environment. Recyclable materials sale and reuse of waste can be considered as potential sources and the receipt of income.
DIRECT FINANCIAL SUPPORT FOR SMALL BUSINESSES IN THE SOUTHERN FEDERAL DISTRICT REGIONS
Authors: ОРДЫНСКАЯ М.Е. , СИЛИНА Т.А. , ЗАХАРОВА Е.Н. 
Published: January 2024

Актуальность исследования обусловлена тем, что малое предпринимательство является важным элементом современной экономики, который вносит значительный вклад в обеспечение социальной устойчивости регионов и страны в целом, способствует занятости населения, пополнению бюджета. Однако, в современных реалиях микро- и малые предприятия оказались наиболее уязвимыми хозяйствующими субъектами и нуждаются в финансовой поддержке со стороны государства. Статья направлена на выявление основных направлений финансовой поддержки субъектов малого бизнеса Южного федерального округа. Поддержка должна основываться на принципе долгосрочности и своевременно корректироваться при ухудшении показателей деятельности субъектов малого предпринимательства и изменении экономический, эпидемиологической и политической ситуации. Проанализирована динамика основных показателей финансовой поддержки субъектов малого бизнеса регионов Южного федерального округа на основе статистических данных. Использовались методы горизонтального, вертикального, сравнительного анализа. Проведенный анализ подтверждает востребованность финансовой поддержки субъектами малого бизнеса. Перечислены предложения, направленные на оптимизацию мер финансовой поддержки субъектов малого предпринимательства в ЮФО.
The relevance of the study is due to the fact that small business is an important element of the modern economy, which makes a significant contribution to the regions’ social sustainability and the country as a whole, provides employment for the population and replenishment of the budget. However, in modern reality, micro and small enterprises have become the most vulnerable business entities and need state financial support. The work is aimed at identifying the main directions of financial support for small businesses in the Southern Federal District. The support should be based on the principle of long-term sustainability and in a timely manner when economic, epidemiological and political situation changes and the performance of small business entities deteriorates is analyzed through the analysis of statistical data. Horizontal, vertical, and comparative methods have been used to analyze the dynamics of small business financial support indicators in the Southern Federal District regions. The analysis confirms the relevance of financial support for small business entities. Proposals aimed at optimizing financial support measures for small business in the Southern Federal District have been presented.