bluuebunny/crossref_metadata_2025 huggingface dataset:
Competition between surface tension and line tension canalizes craniate evolution
Authors: Fleury Vincent
Published: August 2024

It has been suggested for long that physical principles might canalize evolution, especially in the genus homo, where brain size is the largest. However, what physical principle exactly would drive such a progress is unknown. Recent work suggests that there exists a mechanical, built-in, correlation between brain dilation and head flexure in vertebrate morphogenesis. This internal correlation would explain the canalization of evolution towards bigger brains and simultaneously a quite flexed head, with neural tissue curled forward. I report here a detailed study of neural tube flexure and dilation up to day 4 of development in chicken embryos. In vivo time-lapse shows a correlation between brain expansion and head flexure. The early embryo exhibits a biaxial texture in its tissue, in its vascular system and in heart formation, which causes line tensions antagonist to brain dilation. This competition between line tensions and vesicle surface expansion induces a mechanical correlation between brain dilation and flexure. Theoretical modeling reproduces how embryo texture constrains brain expansion and flexure, and how they relate to hemodynamics. This work demonstrates the existence of an internal, textural, correlation between heart morphogenesis, brain dilation and head flexure, which contributes to explaining the origin of humans. To be precise: the physical principle at the origin of humans is a competition between line tension and surface tension.
Leveraging Graph Neural Networks and Gate Recurrent Units for Accurate and Transparent Prediction of Baseball Pitching Speed
Authors: Yang Chen , Jin Pengfei , Chen Yan
Published: August 2024

Long Short-Term Memory (LSTM) networks are widely used in biomechanical data analysis but have significant limitations in interpretability and decision transparency. Combining Graph Neural Networks (GNNs) with Gate Recurrent Units (GRUs) may offer a better solution. This study proposes and validates a hybrid GNN-GRU model for predicting baseball pitching speed, enhancing its interpretability using Layer-wise Relevance Propagation (LRP). C3D data from 53 baseball players were downloaded from a public dataset. Kinematic features of 9 joints and pitching speed during the pitching process were calculated using Visual3D, resulting in a total of 208 valid pitches. The feature data were input into both LSTM and GNN-GRU hybrid models, with hyperparameters tuned using Particle Swarm Optimization (PSO). LRP was employed to obtain the contribution rate changes of kinematic features to the prediction results throughout the pitching cycle. The prediction accuracy of the models was evaluated using Mean Absolute Error (MAE) and R-squared (R²). The results showed that there were significant statistical differences in the MAE and R2 metrics between the LSTM model and the GNN-GRU model in predicting pitching speed on the test set. The MAE (P = 0.000, Z = -5.170, Cohen's d =1.514) and R2(P = 0.000, Z = -2.981, Cohen's d =2.314) of the LSTM model were significantly lower than those of the GNN-GRU model. Compared to LSTM, the GNN-GRU model achieved better prediction accuracy but was more susceptible to the influence of data outliers. Moreover, the GNN-GRU-based model demonstrated better interpretability and decision transparency.
Energy, exergy, sustainability, and economic analysis of a waste heat recovery for a heavy fuel oil-based power plant using Kalina cycle integrated with Rankine cycle
Authors: Rahman Md Musfiqur , Bandhan Labib Rahman , Husna Asma Ul , Monir Luban , Das Barun K. , Das Pronob
Published: August 2024

In this study, a comparative analysis of the thermodynamic, exergy, economic, and environmental aspects of high-temperature Kalina cycle and the Rankine cycle integrated with the Kalina cycle has been investigated. The Kalina cycle either stand-alone or in combination with the Rankine cycle is examined using the diesel engine waste heat from the Katakhali 50 MW HFO-based peaking powerplant, Bangladesh as the heat source. EBSILON Professional software is used for simulation and finding out various state conditions of the cycle, whereas the engineering equation solver (EES) is used for parametric analysis. Results from this analysis indicate that a combined cycle can provide 348 kW more power output at an electricity cost of only 0.0175 $/kWh than stand-alone Kalina cycle. The combined cycle produces around 4075 kW with 27% and 59% as energy and exergy efficiencies, respectively. Meanwhile, the stand-alone cycle offers 3725 kW with 25% and 54% energy and exergy efficiencies. Economic analysis results show that the combined cycle involves capital costs of approximately $370,000 lower than the stand-alone Kalina cycle, primarily due to its high energy conversion. The payback period for the combined cycle is 1.94 years whereas 2.41 years for the stand-alone cycle. In addition, the combined cycle is almost 60% more environmentally sustainable. The best operating condition for the suggested configurations is set by parametric analysis to determine the high output power with low electricity cost. Finally, it can be concluded that the proposed model can be an effective combined model to generate power by recovering waste heat for the power plants operating in Bangladesh.
Clopidogrel protect against gentamicin-induced nephrotoxicity through targeting oxidative stress, apoptosis, and coagulation pathways
Authors: Akila Asmaa A. , Gad Rania A. , Ewees Mohamed Gamal El-Din , Abdul-Hamid Manal , Abdel-Reheim Eman S.
Published: August 2024

Gentamicin (Genta)-induced nephrotoxicity poses a significant clinical challenge due to its detrimental effects on kidney function. Clopidogrel (Clop), an antiplatelet drug known for its ability to prevent blood clots by inhibiting platelet aggregation, also has potential effects on oxidative stress and cell death. This study investigates Clop's protective role against Genta-induced nephrotoxicity, emphasizing the importance of the coagulation cascade. The 32 adult male albino rats were randomly assigned to four groups of eight (n = 8). The first group received only the vehicle. Genta was injected intraperitoneally at 100mg/kg/day for eight days in the second group. Groups 3 and 4 received oral Clop at 10 and 20 mg/kg/day for one week before Genta delivery and throughout the experiment. Renal tissue showed renal function tests, oxidative stress, pro-inflammatory cytokines, apoptotic markers, coagulation profile, and fibrin expression. Clop improved Genta-induced kidney function and histopathology. Clop substantially reduced pro-inflammatory cytokines, oxidative stress indicators, pro-apoptotic proteins, and fibrin protein. Clop also significantly boosted renal tissue anti-inflammatory and anti-apoptotic protein expression. Genta-induced nephrotoxicity involves oxidative stress, apoptosis, and coagulation system activation, according to studies. This study underscores that Genta-induced nephrotoxicity is associated with oxidative stress, apoptosis, and activation of the coagulation system. Clop's protective effects on nephrons are attributed to its anticoagulant, antioxidant, anti-inflammatory, and anti-apoptotic properties, presenting it as a promising therapeutic strategy against Genta-induced kidney damage.
Comparison of the Association and Predictive Ability of Anthropometric Indexes for Metabolic Syndrome in Chinese Adults
Authors: Liu Tao , Wang Li , Cao Jin , Ming Jie , Cao Hongwei , Li Qiaoyue , Yu Xinwen , Liang Shengru , Zhou Jie , Ji Qiuhe , Xu Qian
Published: August 2024

This research aimed to investigate the association between various anthropometric indexes and metabolic syndrome (MetS) and evaluate their predictive effectiveness for MetS. Data from the China National Diabetes and Metabolic Disorders Survey (CNDMDS) were analyzed, including 44,557 adults aged 20 years and above. Eleven anthropometric indexes were assessed for their association with the prevalence of MetS. MetS diagnosis was based on the Joint Interim Statement (JIS) criteria, and the discriminatory ability of each index was evaluated using receiver operating characteristic (ROC) curve analysis. Among Chinese adults, the crude prevalence of MetS was 29.92%. All anthropometric indexes included in the analysis were significantly and positively associated with the prevalence of MetS (all p-trend < 0.0001). ROC curve analysis indicated that, among males, WC and AVI were the most effective indexes for discriminating MetS, while in females, WC and AVI also demonstrated the highest discriminative power. In the entire population, WHtR and BRI showed higher maximal Youden index values, with AUC values both at 0.83. WHtR and BRI exhibit comparable diagnostic value in predicting MetS in the general population. Considering the simplicity of calculation and measurement, WHtR is recommended as the primary screening index for MetS.
Quantum Computing and ZX-Optimization-based Simulation Model for Blockchain-enabled Healthcare System
Authors: Sharma Kriti , Kumar Adarsh , Hedabou Mustapha
Published: August 2024

QC, as compared to traditional computational methods, are efficient in tackling the complexity and large-scale optimisation problems in complex and critical present healthcare systems. This work uses Q-NLP, Bl, ZX-diagrams and QC-optimization for analyzing the healthcare model consisting of interactions among Dr, Pt, Ht and Bl. BN model is constituted for healthcare interactions, followed by ZX-graph optimisation, quantum circuit generation, analysis, validation, and performance analysis. In the analysis of the results, it has been observed that ZX-diagrams are useful for healthcare system modelling, QC integration and optimisation, and implementation. It is observed that strengths of the potential and drive terms largely impact CPU time variations. The optimisation-level experimentation shows a number of circuit operations and non-local gates. Further, the stability of the proposed model is evaluated using system cycle time variations for quantum circuits and qubits analysis. In circuit depth analysis over four circuits with different lengths, it is observed that there is a minimum of 4.1% and a maximum of 17% circuit depth optimisation.
Signifikansi Pemilihan Kata Qatilu Dalam Qs. At-taubah [9]: 29 (Studi Analisis Hermeneutika Ma’na Cum Maghza)
Authors: Hamid Rahman
Published: August 2024

Penafsiran QS. at-Taubah [9]: 29 khususnya kata Qatilu dalam berbagai kitab tafsir klasik cenderung fokus pada pemaknaan tekstual, sehingga menimbulkan pemaknaan yang radikal, seperti beberapa kelompok yang mengatasnamakan agama Islam memahami ayat tersebut sebagai perintah untuk berperang dan membunuh musuh umat Islam dan menjadi landasan aksi terror yang mereka lakukan. Oleh sebab itu, perlu adanya rekosntruksi pemaknaan holistic agar pesan utama yang terdapat dalam QS. at-Taubah [9]: 29 dapat terungkap secara detail sesuai perkembangan zaman. Metode dalam penelitian ini menggunakan library research dengan tujuan merekonstruksi makna yang terdapat dalam QS. at-Taubah {[9]: 29 menggunakan ma’na cum magzha. Metode penafsiran magna cum magzha memadukan antara teks dan konteks, serta masa lalu dan masa kini sehingga menghasilkan penafsiran yang kontekstual. Hasilnya, penggunaan kata Qatilu di ayat ini mengandung dua pesan utama. Pertama, pergeseran cara (worldview), yakni dari perintah perang dan membunuh yang bersifat tekstual menuju sikap siaga kaum muslimin terhadap ancaman yang datang kapan saja. Kedua, keharusan untuk selalu siaga dan siap dalam menghadapi sesuatu yang mengancam dan membahayakan kedaulatan dan kebebasan.
EVALUATION OF NECK PAIN IN DRIVERS IN TURKEY
Authors: Yaraşır Ezgi , Şen Mehmet Ali , Pirinçci Edibe
Published: August 2024

Purpose: Neck pain is a very common condition among drivers, causing physical disability and cost. The prevalence of neck pain in drivers varies between 7.1% and 78.8. This study was conducted to determine the frequency of neck pain in drivers and the affecting factors.
Methods: This cross-sectional study conducted 323 male drivers in a city in Turkey in 2019. This study was conducted by face-to-face survey method after ethical permission. A questionnaire form prepared by the researchers based on the literature was used to collect data in the study. The data were evaluated in the IBM SPSS (Statistical Package for Social Sciences) 22.0 program, with p
YENİDEN DÜZENLENMİŞ KİSTİK FİBROZİS ANKETİNİN İŞLEVSELLİK YETİYİTİMİ VE SAĞLIĞIN ULUSLARARASI SINIFLANDIRMASI KAPSAMINDA İLİŞKİLENDİRME SÜRECİ
Authors: Akyazı Nisa , Kemer Seda Nur , Dere Tuğba , Demirhan İzel , Önal Birol , Bilgin Sevil
Published: August 2024

Amaç: Sağlık sonuç ölçümleri, “ilişkilendirme kuralları” olarak adlandırılan bir yöntem kullanılarak standart bir şekilde İşlevsellik, Yetiyitimi ve Sağlığın Uluslararası Sınıflandırması (ICF) ile ilişkilendirilmektedir. Bu çalışmanın amacı kistik fibroziste yaşam kalitesini değerlendirme amacı ile en sık kullanılan anket olan Yeniden Düzenlenmiş Kistik Fibrozis Anketi’nin (CFQ-R) çocuk (CFQ-R6-11, CFQ-R12-13), adölesan/erişkin (CFQ-R14+) ve ebeveyn (CFQ-Rebeveyn) formlarının ICF kapsamında ilişkilendirilmesidir.
Yöntem: CFQ-R çocuk (6-11 yaş ve 12-13 yaş), adölesan/erişkin (14+) ve ebeveyn formlarının her bir maddesi üç bağımsız araştırmacı tarafından Cieze’nin kurallarına göre ICF ile ilişkilendirildi. Araştırmacıların anlaşma derecesi kappa katsayısı kullanılarak hesaplandı.
Sonuçlar: CFQ-R ebeveyn formunun vücut işlevlerini %46 (n=26), etkinlikler ve katılımı %34 (n=19) ve çevresel faktörleri %11 (n=6) oranında içerdiği bulundu. CFQ-R6-11 formunun vücut işlevlerini %40 (n=19), etkinlikler ve katılımı %34 (n=16) ve çevresel faktörleri %19 (n=9) oranında içerdiği bulundu. CFQ-R 12-13 formunun vücut işlevlerini %40 (n=19), etkinlikler ve katılımı %34 (n=16) ve çevresel faktörleri %19 (n=9) oranında içerdiği bulundu. CFQ-R14+ formunun vücut işlevlerini %43 (n=29), etkinlikler ve katılımı %37 (n=25) ve çevresel faktörleri %7 (n=5) oranında içerdiği bulundu. Anketlerde CFQ-R ebeveyn için %9 (n=5), CFQ-R6-11 için %6 (n=3), CFQ-R 12-13 için %6 (n=3) ve CFQ-R14+ için %12 (n=8) oranında madde ICF kapsamında tanımlanamadı.
Tartışma: CFQ-R çocuk, adölesan/yetişkin ve ebeveyn formlarında vücut işlevleri, ICF ile en çok ilişkili kategoridir. Çevresel faktörler anketler kapsamında yetersiz bir şekilde tanımlanmaktadır. Bu içerik karşılaştırması her bir anketin içeriğini ve doğasını göstererek kişinin fonksiyonelliğinin kapsamı hakkında bilgi edinmeyi sağlar. Ayrıca, KF’yi bütüncül değerlendirmek için çevresel faktörlerin değerlendirildiği ölçütlere ihtiyaç olduğu söylenebilir.
Verifying the feasibility of wastewater-based epidemiological monitoring for the small catchment and sewage networks with significant pretreatment
Authors: Sartirano Daniele , Morecchiato Fabio , Antonelli Alberto , Lotti Tommaso , Morelli Damasco , Ramazzotti Matteo , Rossolini Gian Maria , Lubello Claudio
Published: August 2024

Wastewater-based epidemiology (WBE) has emerged as a valuable tool for COVID-19 monitoring, especially as the frequency of clinical testing diminishes. Beyond COronaVIrus Disease 19 (COVID-19), the tool's versatility extends to addressing various public health concerns, including antibiotic resistance and drug consumption. However, the complexity of sewage systems introduces noise when measuring chemical tracer concentrations, potentially compromising their applicability for modeling. In our study, we detail the approach adopted to determine the concentration of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) ribonucleiec acid (RNA) in wastewater from the Ponte a Niccheri wastewater treatment plant in Tuscany (Italy), with a sample size of N = 13,935 inhabitants. The unique characteristics of this wastewater system, including mandatory pretreatment in septic tanks with extended retention times, the presence of a hospital for COVID-19 patients, and mixed sewage networks, posed additional challenges. Nevertheless, our results highlight a robust and significant correlation between our measurements and the number of infections within the wastewater treatment plant's catchment area at the time of sampling. A simple linear model also shows promising results in estimating the number of infected people within the area.
How does the citizens' choice of water use actions based on their empirical knowledge affect the water quality in a rural community of the Philippines?
Authors: Yazawa Taishi , Rubite Kenn Joshua Geroy , Macabata-Rubite Princess Eden
Published: August 2024

This research assessed water quality, based on the purpose of water consumption, in households in the municipality of Barbaza, the Province of Antique, Philippines, according to the national water quality guidelines. The effects of the empirical/traditional water use actions taken by local people on the quality of the water they use were investigated through a descriptive study using water quality measurements. Most of the drinking water in the community did not meet the required standards of pH, total dissolved solids (TDS), or coliform. Tap water and well water samples generally met the pH and TDS standards. However, Escherichia coli (E. coli) and coliform were detected, and nitrogen pollution in well water was also confirmed. Local practices, such as using old clothes as filters for well pumps, increased the coliform concentration from 0–10 CFU/mL to too numerous to count (TNTC) levels of more than 100 CFU/mL. Storing well water in a bucket also affected both E. coli and coliform concentrations. Such empirical/traditional water use actions create a high risk of exposing local people to harmful microorganisms. This research integrated citizen science into the methodology for local water management, which could assist governors, practitioners, and citizens, particularly in Southeast Asia, where strong community relationships exist.
A comprehensive analysis of institutional wastewater for irrigating ornamental plants
Authors: Nagial Kulwant Singh , Kumar Navsal , Poddar Arunava
Published: August 2024

Utilizing wastewater for irrigating ornamental plants not only conserves freshwater resources but also enhances sustainability by recycling nutrients and reducing environmental impact. This paper describes the results of experimental activities carried out to verify the possibility of reusing treated institutional wastewater for irrigating three container-grown ornamental plants: Sweet William, Annual Phlox, and Rainbow Pink. The experiment was conducted in a subtropical highland climate by using a randomized complete block design with three replications. The plants were irrigated with borewell water (T1), hybrid sewage (T2), secondary treated wastewater (TW) (T3), tertiary-treated wastewater (T4), and ozone-treated wastewater (T5). Each irrigation treatment was subjected to physical, chemical, and biological analysis to determine water quality parameters. The growth of ornamental plants in each treatment was monitored in terms of height, leaves, and quality of flowers. The data were statistically analysed using analysis of variance (ANOVA). The quality parameters of different irrigation water sources varied significantly (p < 0.05) across the treatments, indicating effective treatment of institutional wastewater. ANOVA analysis revealed significant differences in plant height across irrigation treatments for Sweet William and Annual Phlox, but not for Rainbow Pink. Overall, treatments T4 and T5 resulted in the best growth of the considered ornamental plants.
INTERSEÇÃO DA ANÁLISE DO COMPORTAMENTO NA EDUCAÇÃO SUPERIOR
Authors: Silva souto Bruna , De Souza Batista Corrêa Estér , Weber Silva Rocha Raphael , Guimarães Soares Gênesis
Published: August 2024

O presente artigo visa analisar a presença e influência da Análise do Comportamento no ensino superior, de modo a explorar conceitos como reforço, progressão gradual e modelagem e apontar como essa abordagem oferece recursos para melhorar o processo de ensino-aprendizagem. A Análise do Comportamento é uma abordagem baseada na filosofia do Behaviorismo Radical de B.F Skinner, que investiga como o ambiente molda o comportamento humano, utilizando observação e análises sistemáticas. É importante destacar a definição de ensino a partir dessa matriz epistemológica, na qual ressalta que o ensino ocorre mediante a aprendizagem do aluno. Assim, utilizou-se como método uma revisão bibliográfica do tipo estado da arte, onde foi feito o levantamento de publicações relacionadas ao tema proposto e a sistematização dos estudos científicos, de modo a integrar os resultados encontrados. A partir disso, foi possível verificar que diversos modelos de ensino que utilizam os princípios analítico-comportamentais como base foram criados com o passar do tempo. A exemplo disso, o Sistema Personalizado de Ensino (PSI) e a Programação de Condições para Desenvolvimento de Comportamentos (PCDC). Em ambas metodologias, enfatiza-se a divisão do conteúdo em pequenas etapas, ritmos individuais e feedback imediato. Há também a aplicação prática desses modelos em disciplinas do ensino superior. Esses estudos revelam desafios, como a adaptação desses mecanismos à estrutura institucional e a formação dos docentes. Por fim, salienta-se que a interseção entre Behaviorismo e educação no ensino superior oferece ferramentas valiosas para aprimorar o ensino e promover a aprendizagem de modo eficaz.
Advancements in the Transdermal Drug Delivery Systems Utilizing Microemulsion-based Gels
Authors: Song Yongjian , Chen Wei , Yin Yu , Li Jiunian , Wang Meng , Liu Yi , Ren Xiaoliang
Published: August 2024

:

Microemulsion gel, as a promising transdermal nanoparticle delivery system, addresses the limitations
of microemulsions and enhances their performance in drug delivery and release. This article aims to discuss
the advantages of microemulsion gel, including improved drug bioavailability, reduced drug irritation, enhanced
drug penetration and skin adhesion, and increased antimicrobial properties. It explores the methods for
selecting microemulsion formulations and the general processes of microemulsion preparation, as well as commonly
used oil phases, surfactants, and co-surfactants. Additionally, the biomedical applications of microemulsion
gel in treating conditions, such as acne and psoriasis, are also discussed. Overall, this article elucidates the
significant potential of microemulsion gel in topical drug delivery, providing insights into future development
and clinical applications.
Formulation of Garlic Essential Oil-assisted Silver Nanoparticles and Mechanistic Evaluation of their Antimicrobial Activity against a Spectrum of Pathogenic Microorganisms
Authors: Sarangi Ashirbad , Das Bhabani Shankar , Panigrahi Lipsa Leena , Arakha Manoranjan , Bhattacharya Debapriya
Published: August 2024

Background:

The synthesis of nanoparticles using the principle of green chemistry has
achieved huge potential in nanomedicine. Here, we report the synthesis of silver nanoparticles (Ag-
NPs) employing garlic essential oil (GEO) due to wide applications of GEO in the biomedical and
pharmaceutical industry.

Objective:

This study aimed to synthesise garlic essential oil-assisted silver nanoparticles and present
their antimicrobial and antibiofilm activities with mechanistic assessment.

Method:

Initially, the formulation of AgNPs was confirmed using different optical techniques,
such as XRD, FT-IR, DLS, zeta potential, SEM, and EDX analysis, which confirmed the formulation
of well-dispersed, stable, and spherical AgNPs. The antimicrobial and antibiofilm activity of
GEO-assisted AgNPs was evaluated against a spectrum of pathogenic microorganisms, such as
Gram-positive (S. aureus and B. subtilis) and Gram-negative (E. coli and P. aeruginosa) bacteria.

Results:

The AgNPs exhibited remarkable antimicrobial and anti-biofilm activity against all tested
strains. The mechanism behind the antimicrobial activity of AgNPs was explored by estimating
the amount of reactive oxygen species (ROS) generated due to the interaction of AgNP with bacterial
cells and observing the morphological changes of bacteria upon AgNP interaction.

Conclusion:

The findings of this study concluded that ROS generation due to the interaction of
AgNPs with bacterial cells put stress on bacterial membranes, altering the morphology of bacteria,
exhibiting remarkable antimicrobial activity, and preventing biofilm formation.
A Systematic Review on the Effectiveness of Machine Learning in the Detection of Atrial Fibrillation
Authors: Abdulraheem Lubabat Wuraola , Al-dwa Baraah , Shchekochikhin Dmitry , Gognieva Daria , Chomakhidze Petr , Kuznetsova Natalia , Kopylov Philipp , Bestavashvilli Afina Avtandilovna
Published: August 2024

Recent endeavors have led to the exploration of Machine Learning (ML) to enhance
the detection and accurate diagnosis of heart pathologies. This is due to the growing need to
improve efficiency in diagnostics and hasten the process of delivering treatment. Several institutions
have actively assessed the possibility of creating algorithms for advancing our understanding
of atrial fibrillation (AF), a common form of sustained arrhythmia. This means that artificial
intelligence is now being used to analyze electrocardiogram (ECG) data. The data is typically
extracted from large patient databases and then subsequently used to train and test the algorithm
with the help of neural networks. Machine learning has been used to effectively detect
atrial fibrillation with more accuracy than clinical experts, and if applied to clinical practice, it
will aid in early diagnosis and management of the condition and thus reduce thromboembolic
complications of the disease. In this text, a review of the application of machine learning in the
analysis and detection of atrial fibrillation, a comparison of the outcomes (sensitivity,
specificity, and accuracy), and the framework and methods of the studies conducted have been
presented.
Prediction of miRNA-disease Associations by Deep Matrix Decomposition
Method based on Fused Similarity Information
Authors: Chen Xia , Qu Qiang , Zhang Xiang , Nie Hao , Chao Xiuxiu , Ou Weihao , Chen Haowen , Fu Xiangzheng
Published: August 2024

Aim:

MicroRNAs (miRNAs), pivotal regulators in various biological processes, are
closely linked to human diseases. This study aims to propose a computational model, SIDMF, for
predicting miRNA-disease associations.

Background:

Computational methods have proven efficient in predicting miRNA-disease associations,
leveraging functional similarity and network-based inference. Machine learning techniques,
including support vector machines, semi-supervised algorithms, and deep learning models, have
gained prominence in this domain.

Objective:

Develop a computational model that integrates disease semantic similarity and miRNA
functional similarity within a deep matrix factorization framework to predict potential associations
between miRNAs and diseases accurately.

Methods:

SIDMF, introduced in this study, integrates disease semantic similarity and miRNA functional
similarity within a deep matrix factorization framework. Through the reconstruction of the
miRNA-disease association matrix, SIDMF predicts potential associations between miRNAs and
diseases.

Results:

The performance of SIDMF was evaluated using global Leave-One-Out Cross-Validation
(LOOCV) and local LOOCV, achieving high Area Under the Curve (AUC) values of 0.9536 and
0.9404, respectively. Comparative analysis against other methods demonstrated the superior performance
of SIDMF. Case studies on breast cancer, esophageal cancer, and prostate cancer further
validated SIDMF's predictive accuracy, with a substantial percentage of the top 50 predicted miRNAs
confirmed in relevant databases.

Conclusion:

SIDMF emerges as a promising computational model for predicting potential associations
between miRNAs and diseases. Its robust performance in global and local evaluations, along
with successful case studies, underscores its potential contributions to disease prevention, diagnosis,
and treatment.
Bibliometric Analysis of Alzheimer's Disease and Depression
Authors: Li Sixin , Zhang Qian , Liu Jian , Zhang Nan , Li Xinyu , Liu Ying , Qiu Huiwen , Li Jing , Cao Hui
Published: August 2024

Background:

The link between Alzheimer's disease and depression has been confirmed by
clinical and epidemiological research. Therefore, our study examined the literary landscape and prevalent
themes in depression-related research works on Alzheimer's disease through bibliometric analysis.

Methods:

Relevant literature was identified from the Web of Science core collection. Bibliometric parameters
were extracted, and the major contributors were defined in terms of countries, institutions, authors,
and articles using Microsoft Excel 2019 and VOSviewer. VOSviewer and CiteSpace were employed
to visualize the scientific networks and seminal topics.

Results:

The analysis of literature utilised 10,553 articles published from 1991 until 2023. The three
countries or regions with the most publications were spread across the United States, China, and England.
The University of Toronto and the University of Pittsburgh were the major contributors to the institutions.
Lyketsos, Constantine G., Cummings, JL were found to make outstanding contributions.
Journal of Alzheimer's Disease was identified as the most productive journal. Furthermore, “Alzheimer’s”,
“depression”, “dementia”, and “mild cognitive decline” were the main topics of discussion
during this period.

Limitations:

Data were searched from a single database to become compatible with VOSviewer and
CiteSpace, leading to a selection bias. Manuscripts in English were considered, leading to a language bias.

Conclusion:

Articles on “Alzheimer’s” and “depression” displayed an upward trend. The prevalent
themes addressed were the mechanisms of depression-associated Alzheimer's disease, the identification
of depression and cognitive decline in the early stages of Alzheimer's, alleviating depression and improving
life quality in Alzheimer's patients and their caregivers, and diagnosing and treating neuropsychiatric
symptoms in Alzheimer. Future research on these hot topics would promote understanding in
this field.
Rooftop Solar Power Plant (PLTS) Design of Cita Buana School as a Nearly Zero Energy Building (nZEB) Development
Authors: Ariella Syafika Safa , Dhofir Mochammad , Wibawa Unggul
Published: August 2024

The development of EBT in Indonesia is still far from the target of the National Energy Policy (KEN), the EBT mix of 23% in 2025 and 31% in 2050. One form of EBT development is utilizing solar energy in building technology that has high energy efficiency so that the number of electrical energy consumption is close to zero or called nearly Zero Energy Building (nZEB). Therefore, it is necessary to design the most optimal rooftop solar power plant (PLTS) so that it has good energy production and economic feasibility. To get a good energy production, simulation is carried out using HelioScope software by inputting data on the mechanical and electrical segments so that the amount of energy that can be produced by the rooftop solar power plant is obtained in detail. The results of the simulation of the rooftop solar power plant system that is installed on-grid in HelioScope are composed of 96 monocrystalline solar panels of Trina Solar TSM-DE20-605W (605W) and 3 3-phase inverters of Growatt MID 17KTL-X. The rooftop solar power plant produces an annual production of 84,08 MWh with a performance ratio of 82,1%. Thus, the average percentage of energy supply from rooftop solar power plants is 39,82% or can be said to be good in supplying the electrical energy needs of buildings so that the nZEB can be developed. From the simulation results, the economic feasibility is known, with the Break Even Point (BEP) reached in 12,4 years of the 25 years project period, and the Net Present Value (NPV) and Return on Investment (RoI) are positive, indicating that the rooftop solar power plant is profitable and feasible to develop.
Green Hydrogen Technical Interconnection Study in Isolated Island Grid
Authors: Khomarudin Riki , Febrino Shandy Last , Djuanda Dzaky Satria Rahman
Published: August 2024

The integration of Renewable Energy Plants, especially Hydrogen, is one of the considerations in supporting net zero emissions in 2025 by 23% following the renewable energy mix plan at RUPTL. To determine the network impact due to the integration of the Green Hydrogen Plant (GHP) with transient study scenarios, system reliability, and reserve margin. The method for determining the capacity of the Green Hydrogen Plant (GHP) is by looking at the Renewable energy quota allocated in the isolated grid area. From the results of the study obtained in this transient simulation, the system frequency value is still within safe limits in the grid code, where the results of the swing frequency value are at least 98.5%. For Power Angle stability, the lowest swing result of -700degree is obtained within 5 seconds. So the reactive power requirement is 0.75 MVar of the system in the swing requirement of the trip condition. The reliability index obtained by the system, when interconnecting with the Green Hydrogen Plant (GHP) has a better reliability level value. This can be seen from the index of disturbances saifi, saidi, caidi is getting lower. The system reliability index is still within safe limits following SPLN 68-2: 1986. In addition, the interconnection system with the Green Hydrogen Plant (GHP) has the highest reserve margin of 3.25 kW at 09:00, when the Green Hydrogen Plant starts production capacity of 5 MW.
Leading Journals in ChatGPT Articles with More References Co-citations Using Slope Graphs in R with Web R-Platform: Bibliometric Analysis (Preprint)
Authors: Chow Julie Chi , Yeh Yu-Tsen , Chou Willy
Published: August 2024

BACKGROUND

ChatGPT has sparked numerous innovative applications in healthcare, with PubMed currently indexing 2,692 articles on the topic. However, there is no available information on which journals have more references co-citations in ChatGPT articles and their thematic features.

OBJECTIVE

This study aims to answer three key questions: (1) How can major themes be extracted from ChatGPT-related articles to respective journals? (2) Does the number of Chinese publications in ChatGPT merely lag behind that of American authors? (3) Which journals have more references co-citations in ChatGPT articles, and what characteristics do these articles share based on ChatGPT keywords?

METHODS

We collected 2,489 articles with "ChatGPT" in their titles from the Web of Science core collection, gathering metadata from 2022 onwards. To analyze these articles, we employed various visualization methods, focusing on slope graphs to compare trends in prestigious journals based on three aspects: the overall number of publications, the top 100 cited articles, and references co-citations on journals. We created performance sheets, network charts of author collaborations and co-words for 2,489 articles, and an impact beam plot for the top 100 cited articles. Additionally, we used the follower-leading clustering algorithm (FLCA) for clustering analysis, which efficiently identified research focal points and emerging trends.

RESULTS

The study revealed the following findings: (1) Three major themes emerged from the top 20 keywords: ARTIFICIAL-INTELLIGENCE, IMPACT, and QUALITY; (2) The number of ChatGPT research publications by Chinese authors still merely lagged behind those by US authors; (3) The prestigious journals leading in references co-citations among ChatGPT articles were Nature and the Journal of Medical Internet Research(JMIR); (4) Both journals were classified as ARTIFICIAL-INTELLIGENCE in nature.

CONCLUSIONS

The study identified three major themes (ARTIFICIAL-INTELLIGENCE, IMPACT, QUALITY), confirmed US dominance in ChatGPT research over China, and highlighted Nature and JMIR as leading journals in references co-citations among ChatGPT articles, both focusing on artificial intelligence. Based on the results of this study, slope graphs created in R on web R-platform can be applied to research, not just ChatGPT articles.
Comparison of the Knowledge of Large Language Models and General Radiologist on RECIST (Preprint)
Authors: Çamur Eren , Cesur Turay , Güneş Yasin Celal
Published: August 2024

UNSTRUCTURED

This study aims to assess the potential of large language models (LLMs) to enhance reporting efficiency and accuracy in oncological imaging, specifically evaluating their knowledge of RECIST 1.1 guidelines. While the capabilities of LLMs have been explored across various domains, their specific applications in radiology are of significant interest due to the intricate and time-consuming nature of image evaluation in oncology. We conducted a comparative analysis involving seven different LLMs and a general radiologist (GR) to determine their proficiency in responding to RECIST 1.1-based multiple-choice questions.

Our methodology involved the creation of 25 multiple-choice questions by a board-certified radiologist, ensuring alignment with RECIST 1.1 guidelines. These questions were presented to seven LLMs—Claude 3 Opus, ChatGPT 4, ChatGPT 4o, Gemini 1.5 Pro, Mistral Large, Meta Llama 3 70B, and Perplexity Pro—as well as to a GR with six years of experience. The LLMs were prompted to answer as an experienced radiologist, and their responses were compared to those of the GR.

The results demonstrated that Claude 3 Opus achieved a perfect accuracy of 100% (25/25), followed closely by ChatGPT 4o with 96% (24/25). ChatGPT 4 and Mistral Large both scored 92% (23/25), while Meta Llama 3 70B, Perplexity Pro, and Gemini 1.5 each scored 88% (21/25). The GR also achieved a score of 92% (23/25). These findings highlight the impressive proficiency of current LLMs in understanding and applying RECIST 1.1 guidelines, suggesting their potential as valuable tools in radiology.

The outstanding performance of Claude 3 Opus raises the prospect of LLMs becoming integral to oncology practices, potentially enhancing the accuracy and efficiency of radiology reporting. However, the variations in performance among different models underscore the need for further refinement and evaluation. Additionally, while this study focused on text-based responses, the visual assessment capabilities of multimodal LLMs remain unexplored. Given the visual nature of radiology, future research should investigate the integration of visual analysis in LLMs to fully harness their potential in clinical settings.

In conclusion, our study underscores the high potential of LLMs to assist radiologists in oncological reporting, providing a consistent and reliable approach to interpreting RECIST 1.1 guidelines. These findings advocate for the continued development and integration of LLMs in radiology to enhance diagnostic accuracy and reporting efficiency.
Electrocoagulation in Wastewater from Spent-Batteries Recycling
Authors: Mufakhir Fika Rofiek , Khotimah Chusnul , Oediyani Soesaptri , Astuti Widi , Sumardi Slamet , Prasetia Hendra , Arham La Ode , Hakim Hafid Zul , Petrus Himawan Tri Bayu Murti , Poernomo Venny
Published: August 2024

This study uses electrocoagulation to investigate reducing heavy metal content in wastewater from discharging spent batteries. ICP-OES analysis shows that heavy metals exceed the environmental water standard. The electrocoagulation procedure was conducted within a reactor with a 500 mL volume and a rectifier with a 5 A current capacity. Three types of electrode material combinations were used: iron (Fe) and aluminium (Al) as well as Fe-Fe, Al-Al, and Fe-Al pairs with 1 cm in the distance by parallel monopolar cells. Alternating current was used with 30, 40, and 50 A/m2 current density. The best result shown in the Fe-Al electrode pair combination system at 40 A/m2 for 30 min contact time and removal efficiencies for Co, Cd, Ni, Zn, and As is 98.76, 90.73, 99.32, 97.93, and 97.78%, respectively, while for Hg it is 31.84%, even though only Cd is above the standard limit. The heavy metal bearing was confirmed using SEM-EDS in the floc and the precipitate residue. The dissolved electrode materials and electrical energy consumed are 0.32 g and 0.109 kWh/m3, respectively. This method can be a good alternative for treating wastewater compared to direct current electrocoagulation, where the electrode and energy will be less consumed.
Isolation and Evaluation of the Antioxidant Capacity of Compounds from Ehretia asperula Zoll. & Moritzi
Authors: Duc Chong Kim Thien , Linh Tran Chi , Thanh Nguyen Quoc Chau , Nhien Pham Quoc , Trang Dai Thi Xuan , Danh Luu Thai , Tuan Nguyen Trong
Published: August 2024

Ehretia asperula Zoll. & Moritzi was a common medicinal herb found in several Asian nations. This herb was found in many provinces in northern Vietnam, especially Hoa Binh province. Leaves of E. asperula cultivated in Tay Ninh Province were used to isolate compounds and evaluate their potential as antioxidants by five methods, including TAC, RP, FRAP, DPPH, and ABTS•+. Seven compounds were isolated and elucidated from the ethyl acetate fraction, including kaempferol (1), astragalin (2), nicotiflorin (3), rutin (4), caffeic acid (5), (-)-loliolide (6), and daucosterol (7), where compounds 1, 4, 6, and 7 were found from this species for the first time. All isolated compounds from E. asperula leaves exhibited antioxidant activity, consisting of 5.70 ± 0.01 to 299.13 ± 10.19 μg/mL for EC50 values. Especially compound 5 had a very strong antioxidant effect based on five methods TAC (EC50 = 8.43 ± 0.15 μg/mL), RP (EC50 = 6.79 ± 003 μg/mL), FRAP (EC50 = 12.72 ± 006 μg/mL), DPPH (EC50 = 5.57 ± 0.02 µg/mL), and ABTS•+ (EC50 = 5.70 ± 0.01 μg/mL). From our results, Tay Ninh Province's E. asperula leaves are abundant in naturally occurring antioxidants, indicating their potential use as therapeutic materials.
Influencia del estrés percibido sobre los episodios de atracón en una muestra argentina
Authors: Serafini Matias , Schiojetman Nicolás , Pedrón Valeria Teresa
Published: August 2024

Resumen. El Trastorno por Atracón (TPA) se caracteriza por la ingesta exacerbada de grandes cantidades de alimentos en un breve lapso de tiempo y una sensación de pérdida de control. La literatura muestra que los eventos estresantes podrían estar implicados en la etiología y mantenimiento del trastorno. Sin embargo, los estudios con población Argentina son escasos. El objetivo fue Explorar la relación entre el estrés percibido y el TPA. Participaron del estudio 180 mujeres y 76 hombres de nacionalidad argentina con una edad promedio de 29.11 años (DE = 8.75). Se halló una asociación positiva entre el estrés percibido, el Índice de masa corporal (IMC) y la conducta de atracón en los sujetos que señalaron poseer atracones, así como también entre los puntajes totales de la escala de atracones (BES) y las subescalas del Inventario de Trastornos de la Conducta Alimentaria (EDI-3). El estudio reveló que la variable de estrés percibido predice el 23% de las conductas de atracón. Los hallazgos indican que es crucial enfocarse en la disminución del estrés percibido y en la identificación temprana del TPA para abordar eficazmente esta problemática de salud pública.
Memasak Teknik Sous Kualitas Rendang Daging Sapi dengan Metode Vide
Authors: Sirait Anita Priskila , Sudarmawan I Wayan Eka
Published: August 2024

Rendang adalah salah satu makanan terenak di dunia yang dimasak dengan teknik stewing yaitu, dengan cara slow cooking yang memakan waktu lama serta mempengaruhi kualitas gizi. Oleh karenanya banyak restoran berlomba-lomba menyajikan makanan sehat dan bervariasi. Salah satu metode memasak yang terkenal di Amerika dan Eropa adalah teknik sous vide. Sous vide adalah metode memasak dengan memasukan bahan ke dalam plastic vacuum dan direndam dalam air bersuhu rendah untuk membuat makanan matang secara merata. Tujuan penelitian ini yaitu untuk mengetahui kualitas rendang daging sapi metode memasak sous vide ditinjau dari rasa, tekstur, warna, dan aroma serta membandingkannya dengan teknik stewing yang kemudian diuji daya tahan dari kedua teknik tersebut. Selain itu juga dilakukan analisis biaya pada teknik memasak sous vide. Penelitian ini menggunakan pendekatan eksperimen dengan 20 panelis untuk dilakukan uji organoleptik. Berdasarkan hasil penelitian, suhu yang baik untuk memasak rendang sapi teknik sous vide adalah 165oF dengan waktu 14 jam. Hasil perbandingan antara teknik stewing P1 total skor 338 dengan teknik sous vide P2 total skor 348, artinya metode teknik sous vide dapat diterima dengan baik dari indikator rasa, aroma, tekstur, dan warna. Hasil pengamatan dengan teknik sous vide dapat bertahan 12 hari dalam chiller dengan suhu 3o C. Sementara itu untuk hasil penghitungan biaya produksi per unit didapatkan biaya sebesar Rp.109.000/bungkus dengan berat per bungkus 125 gram.
 
Rendang is one of the most delicious foods in the world, cooked by stewing technique, namely by slow cooking, which takes a long time and affects the nutritional quality. Therefore, many restaurants are competing to serve healthy and varied food. One of the most popular cooking methods in America and Europe is the sous vide technique. Sous vide is a method of cooking by putting the ingredients into a plastic vacuum and immersed in low temperature water to make the food cook evenly. The purpose of this study was to determine the quality of beef rendang using the sous vide cooking method in terms of taste, texture, color, and aroma and compare it with the stewing technique which was then tested for durability of the two techniques. In addition, a cost analysis was also conducted on the sous vide cooking technique. This research used an experimental approach with 20 panelists for organoleptic testing. Based on the results, the best temperature for cooking beef rendang with sous vide technique is 165oF with 14 hours. The results of the comparison between the stewing technique P1 total score 338 with the sous vide technique P2 total score 348, meaning that the sous vide technique method is well accepted from the indicators of taste, aroma, texture, and color. The observation results with the sous vide technique can last 12 days in a chiller with a temperature of 3oC. Meanwhile, the results of calculating the production cost per unit obtained a cost of Rp.109,000/pack with a weight per pack of 125 grams.
Унгар Улс дахь хятан бичгийн судалгаа
Authors: Бай Юаньмин
Published: August 2024

The study of the Khitan script in Hungary began in 1927, with the Hungarian famous orientalist Lajos Ligeti as the pioneer, and then several scholars successively joined the field of research, forming a unique study of the school. So far, there has been nearly a hundred years of research history in this field in Hungary. This paper collates and researches the literature collected by the author during her stay in Hungary, and introduces the development history and research results of Khitan study in Hungary.