bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linear Collaborative Representation Learning Approach for Dimensionality Reduction
Authors: Jadoon Ayesha 
Published: January 2025

Article
Linear Collaborative Representation Learning Approach for Dimensionality Reduction

Ayesha Jadoon

Department of Electronics, Telecommunications and Informatics, University of Aveiro, Campus Universita´rio de Santiago, 3810-193 Aveiro, Portugal; ayeshajadoon@ua.pt

Received: 19 March 2024; Revised: 30 October 2024; Accepted: 5 November 2024; Published: 18 November 2024

Abstract: In dimensionality reduction techniques an important step is to construct optimal similarity graph to achieve effective classiffcation results. The graph construction process in many existing algorithms is manual and thus severely affects the classiffcation performance, if the neighborhood parameter is not optimal. Moreover, existing methods that are based on Collaborative representation lack the between-class information in the embedding process. In this paper, we addressed the problem of automatic Graph construction which is datum adaptive and incorporates within-class and between-class information into the linear representation to learn optimal projection for dimensionality reduction using the Collaborative representation technique. To optimize graph construction, the proposed method used the L2 norm graph and log-Euclidean distance. The resultant graph shows local properties by Collaborative representation and global discriminate information is represented by a Maximum Margin classiffer (MMC). The MMC maximizes “between-class scatter” and minimizes “within-class scatter”, without locality information. Further for effective and accurate performance for image classiffcation real databases will be incorporated. The experimental results have demonstrated that the proposed methods achieved competitive results with compared methods.
Ensemble Technique-Based Short-Term Supply and Demand Forecasting with Features Selection Approach in Decentralized Energy Systems
Authors: Jember Adugna Gebrie , Bao Ruiyu , Yao Zijia , Wang Zhao , Zhou Zhenyu , Wang Xiaoyan 
Published: January 2025

Article
Ensemble Technique-Based Short-Term Supply and Demand Forecasting with Features Selection Approach in Decentralized Energy Systems

Adugna Gebrie Jember 1, Ruiyu Bao 1, Zijia Yao 1, Zhao Wang 1,*, Zhenyu Zhou 1 and Xiaoyan Wang 2

1 State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
2 Graduate School of Science and Engineering, Ibaraki University, Mito 310-8512, Japan
* Correspondence: zhao_w@ncepu.edu.cn

Received: 21 August 2024; Revised: 2 December 2024; Accepted: 2 December 2024; Published: 31 December 2024

Abstract: Decentralized energy systems (DESs) present a paradigm shift toward more sustainable and resilient electricity networks with the increasing integration of renewable energy sources. Accurately forecasting energy supply and electricity demand is crucial for the efficient operation of DES. This paper focuses on accurate short-term energy supply and demand forecasting using machine learning (ML) algorithms across different seasons within small-scale DES, including photovoltaic (PV) generation, wind generation, and load demand. Initially, we develop multiple base model ML algorithms including long short-term memory (LSTM), convolutional neural networks (CNN), eXtreme gradient boosting (XGBoost), and recurrent neural networks (RNN) with feature selection approaches to improve forecasting accuracy and reduce model complexity. These base models leverage key temporal and spatial features and seasonal variations process to improve the model forecasting accuracy and reduce overfitting across different seasons. To further reduce forecast errors, we propose robust ensemble forecasting techniques including simple averaging (SA), weighted averaging (WA), and Stacking. In ML algorithms, the ensemble forecasting technique combines the multiple base models’ forecasts to produce a more accurate and robust final forecast by leveraging the strengths and compensating for the weaknesses of individual base models. Finally, numerical simulations are conducted using Python, Keras, and TensorFlow libraries to develop, train, evaluate, and validate the effectiveness and accuracy of the developed forecasting models and the proposed ensemble forecasting techniques. The results demonstrate that the proposed approach offers a robust solution for short-term supply and demand forecasting problems in DES. The work is both novel and effective from the perspectives of application, ML algorithms combination, and performance improvement.
Reducing Overprescription Practices for Opioid Use Post Anterior Cervical Surgery: The Impact of a Standardized Prescription Protocol
Authors: Pina Dagoberto , Shahzad Hania , Booze Zachary , Seidu Michael , Wick Joseph , Shen Thomas , Javidan Yashar , Roberto Rolando , Klineberg Eric , Le Hai Van 
Published: January 2025

Purpose:
This study aimed to evaluate the impact of implementing a standardized opioid prescription protocol on prescription practices post-elective ACS surgery at a large academic institute.

Methods:
A prospective cohort study with a retrospective control group was conducted following institutional review board approval. A standardized protocol was created and implemented which specified opioid prescriptions post-surgery. Data on opioid doses, total and daily Morphine Milligram Equivalents requirements, and the need for refills were collected and compared between both cohorts.

Results:
The study included 83 patients in the post-protocol cohort compared with 315 age- and sex-matched patients in the pre-protocol cohort. The postprotocol cohort received markedly lower daily and total doses at discharge compared with the preprotocol group (P < 0.01). No increase was observed in prescription refills before the initial follow-up in the postprotocol cohort (P = 0.35). At 12 weeks postsurgery, fewer patients in the postprotocol group remained on opioids compared with the preprotocol group (P = 0.14).

Conclusion:
Standardizing opioid prescriptions post-ACS surgery effectively reduces opioid doses prescribed without increasing refill rates. The findings support the efficacy of procedure-specific opioid prescription guidelines in reducing unnecessary opioid use and associated health and economic burdens.
Low-Demand Cemented Femoral Stem Designs and Revision Risk Following the Hemiarthroplasty Treatment of Geriatric Hip Fracture
Authors: Okike Kanu , Prentice Heather A. , Paxton Elizabeth W. , Fasig Brian H. , Shah Ishan , Grimsrud Christopher D. , Chen Foster 
Published: January 2025

Background:
Cemented fixation is recommended in the hemiarthroplasty treatment of geriatric femoral neck fractures. Certain cemented stems have similarly designed “low-demand” counterparts, but it is unclear whether they yield comparable clinical outcomes. The purpose of this study was to evaluate the revision risk associated with two low-demand stems, Summit Basic (DePuy Synthes) and Versys LD/Fx (Zimmer Biomet), in comparison to their standard counterparts, Summit (DePuy Synthes) and Versys Advocate (Zimmer Biomet).

Methods:
Using our U.S. integrated healthcare system's Hip Fracture Registry, we identified patients aged ≥60 years who were treated with one of these four cemented hemiarthroplasty devices (2009-2022). Low-demand stems were compared with standard stems on the basis of aseptic revision rates (primary outcome measure) as well as periprosthetic fracture and 90-day complications (secondary outcome measures). Multivariable Cox proportional hazards regression was used to adjust for potential confounders.

Results:
Overall, there were 9,828 cemented hemiarthroplasties (69.0% female, 78.9% White), including 3,713 low-demand stems and 6,115 standard stems. In the adjusted analysis, low-demand stems were associated with a higher risk of aseptic revision compared with standard designs (hazard ratio [HR] 1.53, 95%CI 1.06-2.22, P = 0.024). This difference was driven primarily by a higher risk of periprosthetic fracture in the low-demand stems (HR 3.40, 95%CI 1.54-7.51, P = 0.003). Similar findings were observed when separately comparing Summit Basic with Summit and Versys LD/Fx to Versys Advocate, and when restricting to procedures performed by experienced total hip arthroplasty surgeons.

Conclusions:
In this study of 9,828 hip fracture patients treated with cemented hemiarthroplasty, low-demand stems were associated with a higher risk of aseptic revision as compared with their standard counterparts. Further research is required to determine the features of the low-demand stems which could be contributing to this finding, as well as the circumstances under which usage of low-demand stems could still be justified based on cost.
Efeito de medidas não farmacológicas no controle de sinais e sintomas em pacientes com síndrome dos ovários policísticos
Authors: Oliveira Ana Luiza Lopes da Silva , Gouvea Carolyne Stephany de Oliveira , Hermont Clarisse Bezri , Avellar Gabriela Serpa , Oliveira Lírian Alves Gomes de , Almeida Marcela Moreira Penna de , Oliveira Nicolas Louback de , Machado Tereza Guimarães da Matta 
Published: January 2025

Introdução: A síndrome dos ovários policísticos (SOP) é uma condição endócrina prevalente, afetando cerca de 10% das mulheres em idade reprodutiva, segundo a Sociedade Brasileira de Endocrinologia e Metabologia (SBEM). Embora o tratamento farmacológico seja amplamente utilizado, existe uma lacuna no conhecimento sobre as contribuições das intervenções não farmacológicas na qualidade de vida das pacientes. Objetivo: Avaliar a influência de intervenções não farmacológicas no manejo clínico da SOP. Metodologia: Revisão integrativa feita a partir de buscas na literatura nas bases de dados “PubMed” e “Scielo”. 12 trabalhos foram incluídos a partir de uma avaliação criteriosa relacionada ao tema proposto. Resultados: As intervenções não farmacológicas, como suplementação de coenzima Q10 e vitamina E, aliadas a mudanças no estilo de vida, demonstraram melhorar parâmetros metabólicos, hormonais e emocionais em mulheres com SOP. Discussão: Intervenções não farmacológicas, como dietas específicas e exercícios aeróbicos, mostraram benefícios significativos na gestão da SOP, incluindo melhora no perfil lipídico, redução da insulina e marcadores inflamatórios, e reequilíbrio hormonal. Exercícios como o HIIT também contribuíram para melhorias na saúde mental e qualidade de vida. A abordagem integrativa desses aspectos demonstrou impactos positivos tanto físicos quanto psicológicos, destacando a importância de estratégias personalizadas no manejo da condição. Conclusão: A SOP demanda um tratamento integrado, envolvendo, além da terapia farmacêutica, mudanças no estilo de vida, como alimentação com baixo índice glicêmico, prática regular de exercícios e suplementação alimentar. Além disso, o apoio psicológico é fundamental para lidar com os impactos emocionais da síndrome. A combinação dessas estratégias melhora significativamente a qualidade de vida das pacientes com SOP. Entretanto, ainda é necessário mais pesquisas para validar tais resultados..
A study on the factors influencing sustainable social media consumption among Generation Z through sustainability, ease of use, trust, social influence, and subscription convenience concerning YouTube Streaming
Authors: Mishra Rashmi , Varshney Deepika , Kayusi Fredrick 
Published: January 2025

Introduction: The increase in Software as a Service (SaaS) revolutionized streaming services and changed how people consume digitally. Most of these facilities use massive amounts of energy, which raises concerns about the environment and social impact of the technology. The study examines how awareness of sustainability, ease of use, social influence, trust, and subscription convenience drive sustainable streaming behavior among Generation Z, reducing environmental strain.Methods: A quantitative research approach was used to investigate the factors influencing responsible streaming behavior among Generation Z. Participants were recruited using a non-probability convenience sampling method. The 206 responses were collected from students aged 18 to 25 studying in Higher Educational Institutions from different academic departments in India. Results: The findings reveal that streaming platforms must increase sustainability awareness through campaigns to promote sustainable streaming behavior. Ease of use is essential, suggesting that user-friendly features encourage responsible actions like reducing video quality or downloading videos. Social influence is a strong predictor, emphasizing the role of peer norms and societal expectations in promoting sustainable, responsible streaming behaviors. Conclusions: Streaming services can use peer recommendations and community engagement to promote responsible, sustainable streaming behavior among Generation Z. Streaming services have a social impact by offering access to diverse content and contribute to issues like excessive screen time and algorithm-driven information that limit exposure to different opinions. To mitigate these social impacts, platforms should introduce screen time reminders and enhance algorithms to promote balanced, inclusive content, ensuring that streaming continues as a positive and developing societal factor
Pola peresepan obat pada pasien gagal ginjal kronis rawat inap rumah sakit x Tangerang Selatan
Authors: Aulia Gina , Holidah Holidah , Pratiwi Rita Dwi , Rini Wahyu Sulistyo 
Published: January 2025

Background: Kidney failure is a condition in which kidney function decreases or even disappears in several stages. Chronic renal failure was defined as kidney damage and/or decreased Glomerular Filtration Rate of less than 60ml/min/1.73 m2 for at least three months. Prescribing the right disease treatment is an important factor in the healing process, especially chronic kidney failure.
Purpose: To determine the pattern of prescribing chronic kidney drugs inpatients at RS X Tangerang Selatan in 2019.
Methods: Descriptive with secondary data random sampling technique, from medical records and doctor's prescriptions. Patient characteristics include age and gender, indicators of prescription patterns including drug class, drug form, amount and dose. The population obtained was 264 patients with 159 patients used as samples.
Results: Patients aged over 65 years (41.51%), male (57.23%), antacid drug group (31.63%), tablet form (65.06%), the most widely used was Bicnatric (16.87) dose of 500 mg (22.40%). ).
Conclusion: Patients diagnosed with chronic kidney failure who were hospitalized at RS X Tangerang Selatan in 2019 were mostly men aged over 65 years and the most widely used drug was Bicnatric tablet 500 mg (Antasida).

Keywords: Recipe Pattern; Patient; Kidney Failure; Chronic; Inpatient

Pendahuluan: Gagal ginjal merupakan suatu kondisi dimana fungsi ginjal telah menurun atau bahkan menghilang dalam beberapa tahap. Gagal ginjal kronis didefinisikan sebagai kerusakan ginjal dan atau penurunan Laju Filtrasi Glomerulus kurang dari 60ml / menit / 1,73 m2 selama setidaknya tiga bulan. Peresepan pengobatan penyakit yang tepat merupakan faktor penting dalam proses penyembuhan, terutama gagal ginjal kronis.
Tujuan: Untuk mengetahui pola peresepan obat rawat inap ginjal kronik di Rumah Sakit X Tangerang Selatan pada tahun 2019.
Metode: Deskriptif dengan teknik sekunder data random sampling, dari rekam medis dan resep dokter. Bentuk karakteristik pasien termasuk usia dan jenis kelamin, indikator pola resep termasuk golongan obat, bentuk obat, jumlah dan dosis. Populasi yang diperoleh adalah 264 pasien dengan 159 pasien telah digunakan sebagai sampel.
Hasil: Usia pasien di atas 65 tahun (41,51%), laki-laki (57,23%), kelas obat antasid (31,63%), bentuk tablet (65,06%), yang paling banyak digunakan adalah Bicnatric ( 16,87) dosis 500 mg (22,40%).
Simpulan: Pasien yang didiagnosis dengan gagal ginjal kronis rawat inap di rumah sakit X Tangerang Selatan pada tahun 2019 sebagian besar terjadi pada pria berusia di atas 65 tahun dan obat yang paling banyak digunakan adalah tablet Bicnatric 500 mg (Antasida).

Kata Kunci: Pola Resep; Pasien; Gagal Ginjal Kronis; Rawat Inap
Pengembangan Media Pembelajaran Berbasis Video Animasi Pada Materi Klasifikasi Makhluk Hidup Kelas X Di SMA Negeri 1 Suwawa
Authors: Permatasari Intan , Ahmad Jusna , Febriyanti Febriyanti , Uno Wirnangsi Din. , Latjompoh Masra , Mardin Herinda 
Published: January 2025

Penelitian ini bertujuan untuk mengetahui dan mendeskripsikan validitas, kepraktisan serta hasil belajar Pengembangan Media Pembelajaran Berbasis Video Animasi Pada Materi Klasifikasi Makhluk Hidup di SMA Negeri 1 Suwawa. Penelitian ini tergolong pada penelitian pengembanagan dengan model yang digunakan adalah ADDIE dengan uji coba pada 20 peserta didik dikelas X SMA Negeri 1 Suwawa. Hasil pada penelitian ini menunjukan bahwa (1) Uji validitas media berdasarkan persentase memperoleh nilai sebesar 90,19% (Sangat Layak), dan Uji validitas materi berdasarkan persentase memperoleh nilai sebesar 80.83% (Layak), (2) Uji kepraktisan terdiri respon peserta didik dan guru. Uji respon peserta didik berdasarkan persentase meperoleh nilai 89,41%, Uji respon guru memperoleh nilai 96,66% (Sangat Baik), (3) Uji hasil belajar diperoleh dari hasil tes belajar peserta didik melaui evaluasi Preetest dan Posttes, berdasarkan skala N-Gain memperoleh nilai sebesar 0.6 (Efektif). Berdasarkan uraian seluruh nilai persentase validasi dan uji coba membuktikan bahwa Media Pembelajaran Berbasis Video Animasi Pada Materi Klasifikasi Makhluk Hidup di SMA Negeri 1 Suwawa yang dikembangkan telah memenuhi kriteria valid, praktis serta efektif sehingga dapat atau layak digunakan pada pembelajaran biologi materi klasifikasi makhluk hidup.
Thermal Performance Analysis of RT 27 as PCM in Double-Pipe Heat Exchangers: Concentric and Hairpin Heat Exchangers
Authors: Kumari Pallavi , Ghosh Debasree 
Published: January 2025

To reduce the usage of conventional fuel and lessen environmental degradation, the utilization of phase change materials presents a promising revenue. By comparing the performance of phase change material melting and solidification of hairpin and concentric-type heat exchangers, the study aims to design latent heat energy storage systems for domestic and industrial applications. The study further reveals that the melting/solidification time depends on various parameters including thermal diffusivity and viscosity of the phase change material (PCM). Furthermore, the energy stored in hairpin and concentric is the same for both the cases as the amount of PCM taken is the same for both the cases but the time required for storing energy is less in case of hairpin, that is, 189 min than concentric, that is, 318.06 min. Additionally, the study emphasizes the importance of PCM selection, highlighting that PCMs with higher latent heat values can store more energy, but the rate of energy storage depends on the temperature difference between the high-temperature fluid and the initial temperature of the PCM. Overall, the findings suggest that through effective numerical analysis and optimization of design parameters, it is possible to propose energy storage systems that maximize efficiency and capacity, thereby contributing to the reduction of conventional fuel consumption and environmental impact.
A Comparative Analysis of Optimization Techniques for Distributed Generation (DG) in a 33 kV Radial Distribution System
Authors: Asabere Prince , Prempeh Isaac , Sekyere Francois , K. Ofosu Willie , N. Ayambire Patrick 
Published: January 2025

The incorporation of renewable distributed generation (DG) stands as a pivotal component in implementing strategies directed toward mitigating power losses within electrical networks. With the continual rise in electricity demand and the accompanying maintenance expenditures, the importance of DG has become increasingly apparent. The effectiveness of reducing power losses, improving voltage profiles, and lowering system expenses was evaluated in this study by comparing the techniques of Artificial Bee Colony (ABC), differential evolution (DE), and particle swarm optimization (PSO). Among these methods, ABC emerged as the most effective, showing substantial potential in enhancing DG performance within a 33 kV distribution system, resulting in a 98.97% reduction in system costs. The findings of this analysis provide appreciated insights for guiding future research efforts in optimizing electrical systems.
NON-SURGICAL ENDODONTIC RETREATMENT IN CASE OF FAILURE OF PRIMARY ENDODONTIC TREATMENT: CASE SERIES
Authors: Bănică Alexandra Carina , Gheorghiță Lelia Mihaela , Gheorghe Anca Gabriela , Diaconu Oana Andreea , Diaconu Cezar Tiberiu , Țuculină Mihaela Jana 
Published: January 2025

(1) Background: Nonsurgical endodontic retreatment procedures have a high potential for success when case selection guidelines are followed, advanced technologies and techniques are employed, and the best materials are used. The aim of the study is to demonstrate that conservative orthograde endodontic retreatment represents a safe management solution for cases of primary endodontic treatment failure. (2) Methods: The study was undertaken between 2022 and 2024, involving a cohort comprising 30 patients of diverse gender and age demographics who sought treatment at the Endodontics Clinic from the University of Medicine and Pharmacy from Craiova and received an endodontic retreatment. The study included three groups: one with inadequate coronal and root canal obturation, another with clinical symptoms, and the third with radiological signs of apical periodontitis. (3) Results: Orthograde endodontic retreatment is a conservative method of keeping the tooth on the arch, but it needs technology to establish the diagnosis and to perform the treatment itself. (4) Conclusions: In cases of primary orthograde endodontic treatment failure, modern endodontic management emphasizes repeating a conservative approach, reserving surgical endodontic intervention only as a last resort.
Integration of Child Protection and Social Protection for Child Victims of Violence in Indonesia
Authors: Nawangsari Anna Sakreti , Susanty Dessy , Setiawan Yoel , Nugroho Fentiny 
Published: January 2025

Social protection (SP) programs for children who are victims of violence have been provided through Child Protection (CP) services, but there are still gaps in meeting the needs in a comprehensive and sustainable manner. This study aims to determine the quality of CP services and their integration with SP services for child victims of violence in Indonesia. Using a qualitative case study method, this study was conducted in 4 provinces and 10 districts/cities, 5 cases of child victims of violence, and a number of informants from parents of victims, and stakeholders in the regions who are responsible for the issue of child victims of violence. Using qualitative methods, the results of the study indicate that there is no integrated policy between CP and SP services for child victims of violence. The lack of integration of CP and SP occurs both among institutions and within the Ministry that has the main tasks and related functions. In some policies related to SP in the form of social assistance under the social rehabilitation program, it is only intended for the poor, so that only children who are victims of violence and are poor can get this service. Integration of child protection and social protection is very important to create a comprehensive framework to address the needs of children who are victims of violence and their families. This paper recommends the integration of social protection and social protection programs by including violence against children as part of the poverty indicators.