bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting Retail Sales Using Machine Learning Techniques: A Comparative Study
Authors: Ogunseye Elizabeth O. ,   Department of Computer Science  University of Ibadan  Ibadan, Nigeria., Oladejo Ezekiel A. , Akinola Solomon O.
Published: July 2024

The retail sector in Nigeria faces numerous challenges, including fluctuating consumer demand, economic instability, and inadequate data-driven decision-making. Accurate sales forecasting is critical for optimizing inventory management, reducing operational costs, and enhancing customer satisfaction. This paper presents a robust model for predicting retail sales using machine learning techniques. By leveraging historical sales data and other relevant variables, we developed and tested several Machine Learning algorithms, including Linear Regression, Support Vector Regressor (SVR), Random Forest, and Gradient Boosting. Our methodology involved data preprocessing, feature selection, model training, and validation using a comprehensive dataset obtained from an electronics retail outlet in Nigeria. The results indicate that the Gradient Boosting model outperforms other algorithms, achieving the highest accuracy and lowest error rates. The study concludes that implementing such predictive models can significantly improve the efficiency and profitability of retail operations in Nigeria. Keywords: Sales Forecast, Machine Learning, Linear Regression, SVM, XGBoost Regressor, Data, Random Forest Regressor. Journal Reference Format: Ogunseye, E.O., Oladejo, E.A. & Akinola, S.O. (2024): Predicting Retail Sales Using Machine Learning Techniques: A Comparative Study. Journal of Behavioural Informatics, Digital Humanities and Development Rese Vol. 10 No. 3. Pp 1-16. https://www.isteams.net/behavioralinformaticsjournal. dx.doi.org/10.22624/AIMS/BHI/V10N3P1
Predictive and Diagnostic Analysis of Diabetes Patients Using DeepNet and Ensemble Models
Authors: Ogunseye Elizabeth O. ,   Department of Computer Science  University of Ibadan  Ibadan, Nigeria., Akinola Solomon O.
Published: July 2024

Diabetes mellitus is a metabolic condition that results in the body's inability to respond to insulin properly, leading to high levels of carbohydrates and glucose in the body. Early detection of this disease can help mitigate its impact, which is the goal of this research. The dataset for diabetes was sourced online, with a good one obtained from the Kaggle repository. This dataset, comprising 768 instances, was downloaded from the repository and uploaded to the BigML API for analysis and prediction. The dataset was then split into two parts with an 80:20 ratio. The model was trained using 80% of the data with two selected models: ensemble and deepnet. After training, the remaining 20% of the data was used for testing, yielding accuracy results of 90.91% and 77.87%, respectively. The visualization of all derived results is shown in figures 4-22 for both models. The results indicate that the ensemble model is more suitable for the dataset used than the deepnet model. Keywords: Diabetes, Prediction, Diagnosis, Ensemble, DeepNet, Neural Network, Tree, Visualization, Model, Dataset, Kaggle Ogunseye, E.O. & Akinola, S.O. (2024): Predictive and Diagnostic Analysis of Diabetes Patients Using DeepNet and Ensemble Models. Journal of Advances in Mathematical & Computational Science. Vol. 12, No. 2. Pp 1-26. Available online at www.isteams.net/mathematics-computationaljournal. dx.doi.org/10.22624/AIMS/MATHS/V12N3P1
No evidence for persistent enteroviral B infection of pancreatic islets in type 1 diabetic and pre-diabetic patients from RNA-Seq data
Authors: Manduchi Elisabetta , Descamps Héléne C. , Schug Jonathan , Da Tong , Lahori Deeksha , El-Mekkoussi Hilana , Betts Michael R. , Kaestner Klaus H.
Published: July 2024

Persistent enterovirus B infection has been proposed as an important contributor to the etiology of type 1 diabetes. We leveraged extensive bulk RNA-sequencing data from alpha, beta, and exocrine cells, as well as single cell islet RNA-Seq data from the Human Pancreas Analysis Program (HPAP), to evaluate the presence of enterovirus B sequences in the pancreas of type 1 diabetic and pre-diabetic (non-diabetic but auto-antibody positive) patients. We examined all available HPAP data for either assay type, including non-diabetic, type 1, and type 2 diabetic donors. To assess the presence of viral reads, we analyzed all reads not mapping to the human genome with the taxonomic classification system Kraken2 and its full viral database, augmented to encompass representatives for all (28) enterovirus B serotypes for which a complete genome is available. As a secondary approach, we input the same sequence reads into the STAR aligner using these 28 enterovirus B genomes as the reference. No enterovirus B sequences were detected by either approach in any of the 243 bulk RNA libraries nor in any of the 79 single cell RNA libraries. While we cannot rule out the possibility of a very low-grade persistent enterovirus B infection in the donors analyzed, our data do not support the notion of chronic viral infection by these viruses as a major driver of type 1 diabetes.
Las TIC en el Proceso de Aprendizaje: Análisis de Efectos Adversos y Estrategias de Mitigación
Authors: Cevallos Chango Marcia Mirella
Published: July 2024

El siguiente artículo se enfocó en el uso de las TIC como una serie de herramientas que pueden ser utilizadas como recursos para los aprendizajes y por su uso poco controlado por parte de los padres y docentes generan niveles de adicciones, ansiedad y aislamientos sociales afectando el aprendizaje de los estudiantes, en tal sentido, se planteó como objetivo general analizar los efectos adversos de las TIC en el proceso de aprendizaje. La investigación tuvo un enfoque cualitativo, con un nivel descriptivo, no experimental, la muestra que intervino fueron 33 estudiantes y una docente de segundo año de educación básica elemental. Se aplicó una lista de observación compuesta de 8 categorías a los estudiantes y una entrevista a la docente, los instrumentos fueron validados bajo los criterios de pertinencia, claridad y coherencia, siendo la confiabilidad de 0.90 en el Alfa de Cronbach. Los datos de la lista de observación se manejaron usando tabla de distribución de frecuencia y análisis descriptivo, para la entrevista se cotejaron los datos a través de una triangulación. La discusión se hizo mediante el método deductivo-inductivo, llegando a las siguientes conclusiones: los efectos adversos por el uso y abuso de las TIC incluyen ansiedad, adicción, aislamiento social y distracción en clase, entre otros aspectos. Se evidencia que el uso excesivo y poco controlado de la tecnología por parte de los padres y docentes en los estudiantes puede afectar negativamente la concentración, el compromiso y, por ende, el rendimiento en el ámbito académico.
Revisión de sistemas de almacenamiento de energía para redes aisladas OFF GRID provenientes de fuentes renovables
Authors: Suatunce Chiliquinga Byron Pablo ,   Universidad Técnica de Cotopaxi, Trujillo Ronquillo Danilo Fabricio , Morales Tamayo Yoandrys ,   Universidad Técnica de Cotopaxi,   Universidad Técnica de Cotopaxi
Published: July 2024

Este estudio examinó los sistemas de almacenamiento de energía para redes aisladas OFF GRID alimentadas por fuentes renovables. Se analizaron 15 casos de estudio globales, abarcando diversas tecnologías y contextos geográficos. La investigación reveló que la diversificación tecnológica fue importante para optimizar el rendimiento en entornos OFF GRID. Las baterías de iones de litio demostraron alta eficiencia y densidad energética, pero los sistemas híbridos que combinaban múltiples tecnologías ofrecieron mayor resiliencia y eficiencia económica. El análisis económico indicó que, aunque los costos iniciales fueron significativos, el costo total de propiedad a largo plazo favoreció la implementación de soluciones de almacenamiento avanzadas. La evaluación de sostenibilidad enfatizó la necesidad de considerar factores más allá de las emisiones de gases de efecto invernadero, incluyendo el uso del suelo y el impacto ecosistémico. La adaptación a condiciones locales, incluyendo clima y factores socioeconómicos, resultó ser vital para el éxito de los proyectos. El estudio concluyó que no existía una solución única para todos los escenarios, subrayando la importancia de enfoques personalizados y flexibles en el diseño e implementación de sistemas de almacenamiento para redes aisladas OFF GRID.
Estimation of Fecundity and Artificial Propagation in a Hatchery System for Puntius sophore (Hamilton, 1822)
Authors: BK Chakrabortya , B Tabasum
Published: July 2024

The main objectives of the present study were to identify the breeding season of Puntius sophore through observation of the Gonadosomatic index (GSI) and fecundity. GSI was calculated, and fecundity was determined by the gravimetric method. The highest value of GSI was 13.75% for the month of June. The highest fecundity (2194.03±30.80) was recorded in the month of June. The GSI values that the spawning season of Pool Barb starts from April to July, with a peak during the months of May to June. An experiment was conducted on the effectiveness of two inducing hormones (Ovaprim and PG) on the induced breeding of P. sophore. From April to July 2022, P. sophore was bred artificially. For the purpose of induced breeding, male and female brood fish weighing between 0.55 g and 0.70 g for the male and 5.44 g and 5.76 g for the female were chosen, and the sex ratio was maintained at 1:1. PG and LHRH-A were used in the experiment’s design for the periods of April, May, June, and July. Under controlled conditions, the impact of two hormone sources on P. sophore ovulation, fertility, and hatching rate was identified. A single dose of Ovuline® (LHRH-A) (0.40–0.45 ml/kg body weight) plus two doses of PG (an initial dose of 2.0 mg/kg body weight and a final dose of 3.5–4.0 mg/kg body weight) showed better results in this group of females. In the period of May and June, the ovulation, fertility, and hatching rate of P. sophore were all better in both PG and LHRH-A. Ovuline® (LHRH-A) 0.12- 0.14 ml/kg body weight and PG 1.2-2.0 mg/kg body weight provided as a single dose to males resulted in higher spermiation outcomes. Fish weighing 1.55±0.86 g had the highest GSI value (22.82%) and fecundity (501301±9.96), whereas fish weighing 1.51±0.96 g had the lowest GSI value (18.24%) and fecundity (350561±8.76). The treatment of PG showed the highest rates of fertilization (96.44±6.02%) and hatching (87.01±4.03%), whereas the treatment of LHRH-A showed the highest rates of fertilization (97.78±6.02%) and hatching (88.25±5.68%). According to the results of this experiment, PG and ovaprim are equally effective at causing P. sophore ovulation, fertilization, and hatching. Both PG and LHRH-A could be applied by the hatchery owners to enhance P. sophore breeding performance by inducing better spawning.
Unveiling the Chromosomal Blueprint of the Pearl Oyster (Pintada maxima): A First Comprehensive Karyotype Analysis in Indonesia
Authors: Laimeheriwa Bruri Melky
Published: July 2024

The pearl oyster (Pinctada maxima) is a high-value commodity in the pearl aquaculture industry. However, aquaculture development in Indonesia is hindered by the lack of genetic information, particularly on its chromosomal characteristics. This study aimed to characterize the chromosomes and analyze the karyotype of P. maxima for the first time in Indonesia. Chromosome preparations were made from gill tissues of pearl oyster juveniles using a modified solid tissue technique. Karyotype analysis was performed by observing and measuring chromosomes at the mitotic metaphase stage. P. maxima has 28 diploid chromosomes (2n) with sizes ranging from 0.419 to 2.077 microns. The karyotype consists of two pairs of metacentric, three pairs of submetacentric, five pairs of subtelocentric, and four pairs of telocentric chromosomes, with the chromosomal formula 2m + 3sm + 5st + 4t. No physical chromosomal abnormalities were found. This study provides valuable information on the genome organization of P. maxima, which can be used as a basis for comparative studies, development of breeding strategies, and aquaculture management programs.
Growth of Spiny Butterfly Ray Gymnura altavela Population and Vulnerability to Fishing along the Syrian Coast (Eastern Mediterranean Sea)
Authors: Hamwi Nader Iskandar , AAB Nour
Published: July 2024

The research on Gymnura altavela in the Syrian coastal region revealed that 18 distinct age groups were among the 67 specimens captured. The second age group was the most dominant, comprising 26.87% of the population. The largest recorded disc width was 134.66 cm in an 18-year-old specimen. The species exhibited negative allometric growth with a coefficient of 2.91, and a growth performance index (Φ’) was 3.63. The mortality coefficients were estimated as follows: Z= 0.51 year-1, F= 0.11 year-1, M= 0.40 year-1, and E= 0.22 year-1, with a survival coefficient (S) of 0.60. The population growth (FP= 42.9) indicates moderate growth in the coastal environment. However, the species faces a significant threat due to a fishing vulnerability score of 59 FV. This study offers valuable insights into the population dynamics of Gymnura altavela in the Syrian coastal region and emphasizes the importance of conservation measures to ensure sustainable management. The findings contribute to our understanding of the species’ growth, mortality, and susceptibility to fishing, providing a foundation for future research.
Digital Techniques for Monitoring Cerambyx cerdo in SAC “Gravine di Matera”: Population Size Insights
Authors: Altieri Giambattista Maria , V Santarcangelo , EL De Capua , E Tarasco
Published: July 2024

Monitoring species of Community interest included in Annexes II, IV, and V of the Habitats Directive is mandatory for EU member states under Art. 11 of Directive 92/43 “Habitats”. This study presents a population estimate of Cerambyx cerdo L. (Coleoptera, Cerambycidae), a species listed in the Directive, to define its conservation status in the SAC “Gravine di Matera”. Using the Android app “Great cAPPricorn” for field data collection and processing, we obtained population estimates for 2019 and 2021, revealing variations in population size and sex ratio. Comparative analysis highlights dynamic trends, variable sex ratios, and differential trap performance across years and sites. These findings advance monitoring practices and underscore the need for ongoing innovation in ecological conservation. The study offers valuable insights into the conservation status of C. cerdo in the Gravine di Matera SAC, emphasizing habitat features and technological tools in species monitoring. Results enabled updating the Standard Data Form for the Natura 2000 site IT9220135 “Gravine di Matera”. Authorizations for capturing and handling individuals were obtained from the Basilicata Region and the Environment Ministry, with the authors identified as responsible for the activities.
The Discovery of the Mediterranean Echinorhynchus abissicola Dollfus, 1931 (Acanthocephala: Echinorhynchidae) From a New Host in the Persian Gulf
Authors: Amin Omar M , Badri Milad , Eslahi Aida Vafae
Published: July 2024

The obscure Echinorhynchus abissicola Dollfus, 1931 was briefly described from the deep-sea fish Pachycara obesa Zugmayer (Zoarcidae), a synonym of Pachycara bulbiceps (Garman) in the Mediterranean. Other observers rarely copied the description and 3 figures of a proboscis and 2 hooks but no taxonomic information was provided since. We have identified the same species from the leather jacket filefish Aluterus monoceros (Linn.) (Monacanthidae) in the Persian Gulf off the coast of Iran. Leather jackets are usually found worldwide in subtropical oceans at depths of 50 m. The lessepsian distribution of fish and their parasites across the Suez Canal in the Mediterranean and the Red Sea/Persian Gulf may account for the finding of E. abissicola in A. monocerus in the Persian Gulf. We made a few new taxonomic observations not previously reported in the description of 1931.
Diet Specific Protein Deposition of Black Soldier Fly Larvae
Authors: Li Chujun , Kuang Xiaoqing , Liu Zeshuo
Published: July 2024

This study investigated the protein deposition efficiency of black soldier fly (BSF) larvae. Five-day-old larvae of BSF were fed with pig feed or coconut meal. First, feed restriction was determined by comparing larval weight, the digested feed conversion efficiency (ECD), and the feed conversion ratio (FCR) of larvae fed with different amount of feed (e.g., 100%, 80%, and 60%). Second, three feeding strategies were compared: the free feeding group (e.g., F, 100%), the low restricted group (e.g., L, 60%), and the high restricted group (e.g., H, 20%). The survival rate, the larval fresh weight, ECD, FCR, the apparent digestibility of proteins, and the larval protein content were analyzed. The regression equations of protein intake and body protein content were established. The results showed that there were no significant differences in the survival rate and ECD among group F, L and H on both pig feed and coconut meal. The larval fresh weight and FCR were lower with less feed provided. The protein deposition efficiency was higher in pig feed than coconut meal. These findings contribute to optimizing protein supplementation for BSF larvae, enhancing their potential as a sustainable protein source and waste converter
The Stroke of Reno-Vascular Origin- Case Study
Authors: Roman Ovidiu Teofil
Published: July 2024

The blood pressure higher than 140/80 mmHg is called hypertension(HTA). The high blood pressure (hypertension) is a risk factor for stroke. The causes of hypertension can be multiple, the less common is reno-vascular hypertension. In the present research we discuss a case of an adult who was diagnosed with renovascular hypertension complicated by stroke. The brain lesions caused by cerebral haemorrhage resulted in cognitive impairment and affective and anxiety disorders. The patient was admitted to a medical rehabilitation ward, where he underwent complex treatment, including psychotherapy. The patient's evolution was favourable, both physically and mentally, but the prognosis remains reserved.
The Effects of COVID-19 Traumatic Stress and Cumulative Trauma on PTSD in a Sample of Internally Displaced Syrian Teenagers
Authors: van Nuenen Marieke , J Ashby , I Kira
Published: July 2024

Studies have investigated the relationship between the COVID-19 pandemic and mental health and have shown evidence for the relationship between pandemic-related stress, trauma, and PTSD symptoms. Some have noted that the pandemic may put already vulnerable populations, such as internally displaced persons, at greater risk of developing mental health issues such as PTSD. The purpose of the present cross-sectional study was to examine the relationship between COVID-19 traumatic stress, cumulative trauma, and PTSD symptoms in a sample of internally displaced Syrian teenagers residing in refugee camps on the Turkish-Syrian border. The study investigated whether COVID-19 traumatic stress predicted PTSD symptoms after controlling for cumulative trauma, and whether a moderation effect existed between COVID-19 traumatic stress and cumulative trauma in the prediction of PTSD symptoms. Regression results revealed that while COVID-19 traumatic stress explained a statistically significant amount of the variance in PTSD beyond the effects of cumulative trauma alone, no statistically significant interaction existed between the two predictors. Current results extend knowledge of the pandemic’s impact on PTSD symptoms to a population already highly vulnerable to the psychological consequences of traumatic events (Norwegian Refugee Council, n.d.).
Analisis Pemodelan Pasang Surut untuk Potensi Pembangkit Listrik Tenaga Pasang Surut di Kecamatan Siberut Barat
Authors: Khan Muhammad Shalman , Armi Ilham , Arini Dwi , Defwaldi Defwaldi , Fajrin Fajrin
Published: July 2024

Pemodelan numerik merupakan kombinasi dari representasi matematis dari masalah dalam bentuk fisik dan pendekatan numerik dari persamaan matematika, pemodelan numerik oseanografi merupakan sebuah sistem untuk mempelajari suatu fenomena dinamika laut kedalam persamaan-persamaan diskrit/numerik.Pembangkit listrik tenaga pasang surut adalah suatu Energi pasang surut (Tidal Energy) yang terbarukan. Prinsip kerja nya sama dengan pembangkit listrik tenaga air, dimana air dimanfaatkan untuk memutar turbin dan mengahasilkan energi listrik. Penelitian ini meggunakan metode kuantitatif deskrtiptif, pengolahan data dengan software MIKE 21 yang hasilnya data prediksi pasang surut dan kecepatan arus, Hasil dari pemodelan arus dan pasang surut untuk potensi pembangkit listrik dimana pasang tertinggi pada tahun 2024 dibulan mei sebesar 1,53m dan surut pada bulan april sebesar -0,92m. tahun 2025 pasang tertinggi dibulan maret sebesar 2,07m dan surut pada bulan april sebesar -0,56m. untuk potensi eneri listrik pada tahun 2024 rata-rata 5,7kwh, dan pada tahun 2025 rata-rata 9,07kwh.
Schätzen in agilen Projekten
Authors: Brüggenkamp Jörg , Preuss Peter , Renk Tobias
Published: July 2024

In diesem Buch wird die Thematik Schätzen auf die Projektwelt angewandt. Wer kennt sie nicht, die großen Bauprojekte, die meist deutlich teurer werden und länger dauern als geschätzt. Egal ob es sich um die Elbphilharmonie handelt, den Berliner Flughafen oder Stuttgart 21. Verschiebungen und Kostensteigerungen sind an der Tagesordnung.

In der agilen Projektwelt verspricht man sich deutlich bessere Schätzungen als bei den klassischen Verfahren. Zum einen findet der klassische Projektplan im agilen Kontext keine Anwendung, zum anderen sind die Planungszyklen deutlich kürzer.

Dieser Band konzentriert sich darauf, die Hauptursachen für Fehleinschätzungen zu beleuchten und Möglichkeiten zur Verbesserung der Qualität von Abschätzungen aufzuzeigen. Er ist mitnichten als ein Plädoyer gegen Abschätzungen zu verstehen, sondern steht ganz im Sinne Dwight D. Eisenhowers Aussage: Plans are useless, but planning is essential.
Novas perspetivas na didática do português como língua adicional: políticas educacionais – currículos – aplicações
Authors: Koch Christian , Reimann Daniel
Published: July 2024

Este volume oferece um panorama dos projetos e programas curriculares atuais na didática do português na Alemanha e em outras regioes do mundo. Mostraremos uma variedade de abordagens para desenvolver o português como parte integrante da oferta linguistica em contextos escolares e universitários. A rotulagem do português como "lingua menor" no ensino de linguas estrangeiras é contrariada pelo reforco da sua posicao ao lado das outras linguas estrangeiras curriculares, bem como pela ênfase da importância do português como lingua a nivel mundial e como lingua de heranca.

Dieser Band gibt einen Überblick über aktuelle Projekte und Curricula zum Portugiesischunterricht in Deutschland und in anderen Regionen der Welt. Es zeigt sich eine Vielzahl von Ansätzen, um Portugiesisch als integralen Bestandteil des Sprachangebots im schulischen und universitären Kontext weiterzuentwickeln. Der Wahrnehmung des Portugiesischen als "kleiner Sprache" im Angebot des Fremdsprachenunterrichts wird mit der Betonung der Bedeutung des Portugiesischen als Weltsprache einerseits und seines Charakters als Herkunftssprache andererseits entgegengetreten.
Legal Protection for Women and Children in the Marriage Tradition of Muslim Communities
Authors: Sudirman  , Intan Suria Hamzah
Published: July 2024

The Muslim community in East Java has a tradition of marriage that is believed to be a virtue. The tradition of marriage must provide legal protection for women and children. This study aims to (1) analyze the legal culture in the marriage tradition of the Muslim community in East Java and (2) find a model of preventive legal protection for women and children in the marriage tradition of the Muslim community in East Java. This research method is sociological research, which is expressed in quantitative data. Based on the research results, it is known that preventive legal protection for the Muslim community in East Java can be done by making the dowry an economic guarantee, providing monthly money, and the need for a prenuptial agreement. The Muslim marriage tradition in East Java typically sees wives joining their husbands' homes or establishing a shared residence, leading to a customary practice where wives may return to their own families upon divorce despite contributing to jointly owned homes. To address the economic vulnerabilities women and children face post-divorce, legal provisions should include stipulations on marriage dowry amounts, monthly financial obligations for wives, and requirements for prenuptial agreements to safeguard their interests. Implementing such protections would mitigate the financial repercussions experienced by wives and children following divorce.
Designing Interactive Media for the Introduction of Visual Language on Kresnayana Relief in Prambanan
Authors: Supandi Fajar Persada
Published: July 2024

Prambanan Temple in Yogyakarta is one of Indonesia's most meaningful and historic cultural heritages. One of the most impressive elements of the temple is the Kresnayana Relief, which depicts the epic story of Lord Vishnu transforming into Kresna. This relief has high artistic and historical value, but understanding and appreciation of the story is often limited. This research aims to design an interactive media that combines visual language with modern technology, focusing on the Kresnayana Relief. Through literature studies, surveys, interviews, and visual art analysis, we understand the story of the Kresnayana Relief and the interest of visitors to Prambanan Temple in interactive media. The result of this research is an interactive media prototype designed to provide an immersive experience in understanding the Kresnayana Relief story. The prototype includes a user-friendly interface, visual animation, narration, and audio elements that aim to enhance visitors' understanding and appreciation of this relief.
Reading Ponoragan Visual Culture on The Visual Development Phenomenon of Dhadhak Merak Reyog Ponorogo
Authors: Naufal Romzi Akram Al , Djatiprambudi Djuli , Yanuartuti Setyo
Published: July 2024

The dhadhak merak is an iconic mask in Reyog Ponorogo. Over a very long period of time, the dhadhak merak has visually evolved into the form that is often seen today. The visual phenomenon then forms an image of Ponoragan visual culture that is interesting to explore in greater depth. This is what attracts the author's attention to focus on reviewing: 1) The phenomenon of visual development of dhadhak merak over time and 2) Reading Ponoragan visual culture in dhadhak merak. This research is a descriptive qualitative research, with data collection techniques using literature studies and archival documentation. In the process of reading the visual culture of dhadhak merak, the author conducted a review from several aspects, namely: visual structure, function, value, and meaning. The results of this study are 1) The dhadhak merak has undergone seven phases of development starting from its simple dhadhak to the form that is commonly found today. 2) The visual structure, function, historical value, and meaning of the dhadhak merak are constructed on the culture of the people of Ponorogo itself starting from the era of animism-dynamism, Hindu-Buddhism, Islam, to the present era. From that, the Ponoragan culture as a very strong identity marker can be reflected in the dhadhak merak visual culture artifact.
Modern Myth as a Source of Constitutional Law
Authors: Romanovskaya Evgenia V. ,   Saratov State University named after N.G. Chernyshevsky, Radaev Ivan S. ,   Saratov State University named after N.G. Chernyshevsky
Published: July 2024

The article analyzes the influence of myth on the social contract, and the constitution as the fundamental law of the country. Modern myths arise from various components, including societal perceptions of risk, which are often manipulated by the media to alter the perceived likelihood of certain events. This manipulation contrib-utes to the creation of political myths that can significantly influence the organization of social spheres and serve as the foundation of the social contract. The analysis delves into the impact of myths on legal systems, comparing their influence on continental European and Anglo-Saxon legal systems. It investigates the incorpo-ration of political mythology into normative legal acts and examines the constitutional implications within mod-ern society. By addressing these issues, the article highlights constitutional challenges prevalent in modern societies, particularly concerning the integration of political myths into legal and social contracts.
Two decades of nuclear energy policy and its impact on Indonesia: A bibliometric review
Authors: Shafii Mohammad Ali , Abdullah Ade Gafar , Pramudtya Syeilendra , Setiadipura Topan , Anzhar Kurnia
Published: July 2024

Although much bibliometric research has been conducted to analyze publications on energy policy, a systematic investigation of the sustainability of nuclear energy use after the Fukushima nuclear accident is still lacking. Therefore, this study conducted a comprehensive bibliometric review of the sustainability of nuclear energy policy (NEP). This study discusses NEPs, highlighting their disadvantages; emerging research themes; and networks of the most productive authors, countries, journals, and institutions over the last 20 years (2002–2022). This timeframe was selected because of the Fukushima nuclear accident, which has been one of the largest environmental disasters in recent years. Bibliometric analysis was carried out by reviewing 1146 documents from the Scopus database using the keywords “energy policy” and “nuclear energy.” The OpenRefine software was used to deep-clean keywords with the same meaning, and VOSviewer was used to visualize them. The results show that over the past two decades, future research themes and trends in the study of NEP have focused on nuclear fuel, the Fukushima nuclear accident, risk perception, energy transition, and renewable energy. Bibliometric analysis has positively affected the development of NEP in countries that do not yet have nuclear power plants, such as Indonesia.
Environmental challenges in recreation and hospitality services of SPA centers
Authors: Atalay Ahmet , Perkumiene Dalia , Labanauskas Gintautas , Perkumas Aidanas
Published: July 2024

As it is revealed in the literature, there is an intense energy consumption in “Selus Per Aqua” (SPA) centers. Especially electricity and natural gas used for heating, cooling and lighting have very serious negative environmental effects. In particular, meeting these energy sources from fossil fuels and supplying water consumption from clean water sources pose a threat to sustainable environmental targets. In this context, the aim of the research is to calculate the carbon footprint based on energy consumption in 20 SPA centers located in different cities in Turkey and Lithuania. Electricity, natural gas and water consumption amounts consumed during 2022 in 20 SPA centers located in different cities in Turkey and Lithuania were used as a data set. Using the calculation methodology (Tier 1 method) put forward by The Intergovernmental Panel on Climate Change, the carbon dioxide emission amount (carbon footprint) of the SPA facilities was calculated. While the annual total carbon footprint of 20 SPA centers in Turkey and Lithuania is calculated as 6.092805 kgCO2eq, the carbon footprint calculated for Turkey is 2.947006 kgCO2eq. The carbon footprint calculated for Lithuania is 3.145079 kgCO2eq. SPA centers, where health, tourism and recreation services are offered together, are centers where human mobility and energy use are inevitable due to their year-round use potential. Research findings suggest that SPA centers cause negative environmental consequences due to energy and water consumption. It is very important to prefer clean energy sources for sustainable environment, health, tourism and recreation and to avoid using clean water resources.
A systematic literature review of the impact of music therapy on the management of depression in patients with chronic diseases
Authors: Guo Fei , Khatibi Ali , Tham Jacquline
Published: July 2024

Depression is a mental disorder caused by various causes with significant and persistent depressed mood as the main clinical feature, and is the most common mental illness worldwide and in our country. The number of patients with depression worldwide was as high as 350 million in 2017, and the number of patients with depression in our country was nearly 100 million in 2019. The greatest danger of depression is self-injurious and suicidal behaviour, and this behaviour carries a high medical burden. Medication is the most costly treatment for depression in China, and while it is an effective way to treat patients with depression, it has many side effects and poor patient compliance. Non-pharmacological treatments commonly used in clinical practice include physiotherapy and psychotherapy. Physiotherapy is commonly used in non-convulsive electroconvulsive therapy, but its clinical efficacy is uncertain and it can also cause adverse effects such as heart failure and arrhythmias, which are poorly tolerated by patients. Psychotherapy is also a common non-pharmacological therapy. Cognitive therapy is a common form of psychotherapy, but the cycle of cognitive therapy is too long, the cost to the patient is high, and the patient’s cognitive ability has certain requirements. Music therapy is a combination of art and science. It is a cross-discipline that combines body, movement, dance and psychology and is a method of psychotherapy that has biological, psychological and social functions to compensate for deficiencies. Music therapy sees a fundamental connection between mind and body and emphasises that what affects the body also affects the mind. When mind-body integration is lacking, individuals will suffer from a variety of psychological disorders. Therefore, the core principles of music therapy emphasise that holistic individual health is embodied in the integration of mind and body, that body movement is expressive and communicative, and that music therapy uses body movement as a method of assessing the individual and as a means of clinical intervention.
Inscripción profiláctica contra el granizo (AE 1939, 136): análisis lingüístico y nuevas lecturas
Authors: Fontana Elboj Gonzalo , Meseguer González Diego
Published: July 2024

El propósito del presente trabajo no es sino el de releer y editar una compleja inscripción mágica tardoantigua (AE 1939, 136) procedente de Furnos Maius (prov. romana Africa Proconsularis). Destinada a proteger del granizo los campos de cultivo, su texto incorpora elementos autóctonos, romanos y cristianos, muchos de los cuales no habían sido no documentados hasta la fecha. Así, entre otras nuevas lecturas, la inscripción ofrece una buena cantidad de microtoponimia de carácter local no detectada hasta ahora.
Emilio Suárez de la Torre, Eros mágico. Recetas eróticas mágicas del mundo antiguo, Monografías de Filología Griega 31, Zaragoza: Prensas de la Universidad de Za-ragoza, 2021, 342 pp. ISBN: 978-84-1340-277-2
Authors: Monaca Mariangela
Published: July 2024

Nota-artículo
Agreement between lacrimal fluid and serum for detecting urea nitrogen and creatinine in dogs
Authors: Tan Wendy , Boveland Shannon , McMichael Maureen Ann , Bustamante Hedie A. , Christopherson Pete W. , Gerken Katherine K. , Kuo Kendon
Published: July 2024

OBJECTIVE

To determine whether urea nitrogen and creatinine levels differ in lacrimal fluid (LF) and serum (SER) in nonazotemic (control) and azotemic dogs and whether there is an agreement between LF and SER.

METHODS

A prospective observational study was performed at the Auburn University Small Animal Teaching Hospital between May 2023 and March 2024. Forty control and 38 azotemic dogs were enrolled. Twenty microliters of LF per eye was collected with microcapillary tubes, and 3 mL of blood was drawn. Bland-Altman plot and intraclass correlation coefficient (ICC) were used to evaluate the agreement between LF and SER.

RESULTS

There was good agreement between LF and SER levels of urea nitrogen in the control group (Bland-Altman plot mean bias of –0.8108 ± 2.407 mg/dL; ICC of 0.874 [95% CI, 0.773 to 0.934]) and the azotemic group (Bland-Altman plot mean bias of –9.681 ± 23.89 mg/dL; ICC of 0.82 [95% CI, 0.658 to 0.906]). There was poor agreement between LF and SER concentrations for creatinine in the control and azotemic groups, with only 26 dogs with creatinine detectable in LF.

CONCLUSIONS

Lacrimal fluid and SER concentrations of urea nitrogen showed good agreement in both the control and azotemic groups, whereas poor agreement was found for creatinine in both groups.

CLINICAL RELEVANCE

Measurement of urea nitrogen in LF may provide an alternative to blood for diagnosing uremia. However, additional research is necessary before substituting LF for SER.
How can we distinguish postictal Todd’s Paralysis from acute ischemic stroke in the prehospital and early hospital setting?
Authors: Blek Natasza
Published: July 2024

Introduction

Acute Ischemic Stroke (AIS) is a medical emergency with focal neurological deficits. Todd’s paralysis (TP) is defined as a transient loss of motor ability and weakness that lasts hours to days and typically occurs after a focal seizure. Given the high prevalence of stroke and the rising availability of reperfusion therapies, timely detection of eligible patients is critical. Pre- and early-hospital differential diagnosis of various conditions with comparable clinical presentations is still difficult.

Aim

This review discusses Todd’s post-epileptic paralysis, one of the most common stroke mimics (SM), in pre- and early-hospital settings.

Discussion and Conclusions

The review covers the most critical findings on the TP and its emergency care as a common stroke mimic. Because TP is an excluding diagnosis, the most severe and curable illnesses must be recognised. Since thrombolysis is safe in SM, delaying or withholding medication may be improper when the advantages of treating a stroke mimic outweigh the dangers of treating a stroke mimic.
Cenobamate in the management of focal-onset epilepsy in adults – practical considerations for daily practice
Authors: Majkowska-Zwolińska Beata
Published: July 2024

Introduction

Cenobamate (CNB) is a newly approved antiseizure medication in Europe. It is used as an add-on treatment for focal-onset seizures in adult patients with epilepsy that is not responding to other medications.

Aim

This report discusses the practical aspects of using cenobamate to treat adult patients with epilepsy based on current experiences.

Discussion and conclusions

Studies have shown that cenobamate is effective in reducing seizure frequency in adult patients with drug-resistant focal onset epilepsy when used as add-on therapy. It also has a high seizure freedom rate, a good treatment retention rate, and a favorable safety profile. The aspects discussed include using cenobamate in special populations and potential interactions with other drugs, management strategies to mitigate the risk of adverse reactions illustrated by a specific clinical case. Further studies involving larger patient groups are necessary to assess the drug’s efficacy and safety profile, particularly in special populations and patients with other types of epileptic seizures.
"I am here" - the collective experience, impacts and sense-making from a shared Summer School experience
Authors: Cruz Joana Pereira de Magalhães , Taylor Shelbi A. , Römer Julia , Bhat Deepti R. , Szőcs Álmos , Paal Kathrin , Lopes Betina
Published: July 2024

This paper aims to offer a practice-inspired contribution to participatory research by describing and analyzing a particular experience lived in Porto – FPCEUP – at the EERA Summer School. Being a group of two tutors and six doctoral students, we depict some of the impacts the week had on all participants while sharing and reflecting on the place of participatory research in both the individual projects and the collective learning experience. The specificity of this group was the mobilization of ABR methodologies to start a reflexive dialogue on the transitioning process from doctoral student to researcher. Inspired by Photovoice (Wang & Burris, 1997) and Image Theatre (Boal, 2002) to attend to the multiplicity of visions, voices, and experiences in the room, we tried to foster a safe and creative space of collaboration where thoughts and feelings could be collectively experienced and reflected on. The use of Arts-Based Research, the rapid growth of trust within the group, and the agency that was felt and taken by the group’s participants are the main themes targeted in our analysis, which were at the heart of the unexpected and surprising way the week unfolded.
LLM-powered GraphQL Generator for Data Retrieval
Authors: Ganesan Balaji , Ghosh Sambit , Gupta Nitin , Kesarwani Manish , Mehta Sameep , Sindhgatta Renuka
Published: July 2024

GraphQL offers an efficient, powerful, and flexible alternative to REST APIs. However, application developers writing GraphQL clients need both technical and domain-specific expertise to reap its benefits, and avoid over-fetching or under-fetching data. Automated GraphQL generation has so far proven to be a hard problem because of complex GraphQL schema and lack of benchmark datasets. To address these issues, our work focuses on building an LLM-powered pipeline that can accept user requirements in natural language along with the complex GraphQL schema and automatically produce the GraphQL query needed to retrieve the necessary data. Automated GraphQL generation helps reduce entry barriers to application developers, broadening GraphQL adoption.
An LLM-enhanced Agent-based Simulation Tool for Information Propagation
Authors: Hu Yuxuan , Sherpa Gemju , Zhang Lan , Li Weihua , Bai Quan , Wang Yijun , Wang Xiaodan
Published: July 2024

Influence diffusion models are used for simulating information propagation in social networks. While most existing influence diffusion models are probabilistic, the emergence of Large Language Model (LLM) sheds light on the language-level inferences and interactions of user agents. This paper presents an LLM-enhanced Agent-based Influence Diffusion model (LAID), and a web-based visualization tool, LAIDSim, for simulating the information propagation in social networks.
AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication Technologies
Authors: Kherroubi Zine el abidine , Boukhalfa Fouzi , Lestable Thierry , Bader Carlos-Faouzi
Published: July 2024

This paper introduces AUTODRAITEC, a novel AI-based system that is deployed on the road infrastructure to control the driving of Connected and Autonomous Vehicles (CAVs). For this purpose, we present a convincing proof of concept that demonstrates the effectiveness of our solution. The system deploys a hybrid machine learning approach comprised of a supervised learning classifier to characterize the behaviors of human drivers, with a deep reinforcement learning policy to provide speed recommendations for CAVs. This system is implemented using perception sensors and an industrial computer (IPC), which are intended to be deployed on the road infrastructure. Using a 1:18 scale testbed that faithfully replicates real-world driving scenarios, we demonstrate that AUTODRAITEC improves driving safety and efficiency while preserving the traffic flow rate.
M2Beats: When Motion Meets Beats in Short-form Videos
Authors: Jiang Dongxiang , Zhang Yongchang , He Shuai , Ming Anlong
Published: July 2024

In recent years, short-form videos have gained popularity and the editing of these videos, particularly when motion is synchronized with music, is highly favored due to its beat-matching effect. However, detecting motion rhythm poses a significant challenge as it is influenced by multiple factors that make it difficult to define using explicit rules. While traditional methods attempt to define motion rhythm, they often yield unsatisfactory results. On the other hand, learning-based methods can extract motion rhythm without relying on explicit rules but require high-quality datasets. Unfortunately, existing datasets simply substitute music rhythm for motion rhythm which are not equivalent. To address these challenges, we present the motion rhythm dataset AIST-M2B, which is annotated with meticulously curated motion rhythm labels derived from the profound correlation between motion and music in professional dance. We propose a novel network architecture called M2BNet that is specifically trained on AIST-M2B to effectively extract intricate motion rhythms by incorporating both human body structure and temporal information. Additionally, we introduce a pioneering algorithm for enhancing motion rhythm synchronization with beats. Experimental results substan- tiate the superior performance of our method compared to other existing algorithms in the domain of motion rhythm analysis. Our code is available at https://github.com/mRobotit/M2Beats.
KnowledgeHub: An End-to-End Tool for Assisted Scientific Discovery
Authors: Tanaka Shinnosuke , Barry James , Kuruvanthodi Vishnudev , Moses Movina , Giammona Maxwell J. , Herr Nathan , Elkaref Mohab , de Mel Geeth
Published: July 2024

This paper describes the KnowledgeHub tool, a scientific literature Information Extraction (IE) and Question Answering (QA) pipeline. This is achieved by supporting the ingestion of PDF documents that are converted to text and structured representations. An ontology can then be constructed where a user defines the types of entities and relationships they want to capture. A browser-based annotation tool enables annotating the contents of the PDF documents according to the ontology. Named Entity Recognition (NER) and Relation Classification (RC) models can be trained on the resulting annotations and can be used to annotate the unannotated portion of the documents. A knowledge graph is constructed from these entity and relation triples which can be queried to obtain insights from the data. Furthermore, we integrate a suite of Large Language Models (LLMs) that can be used for QA and summarisation that is grounded in the included documents. KnowledgeHub is a unique tool that supports annotation, IE and QA, which gives the user full insight into the knowledge discovery pipeline.
WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation
Authors: Li Xuan , Wu Xiangqian
Published: July 2024

Diabetic retinopathy lesion segmentation (DRLS) faces a challenge of significant variation in the size of different lesions. An effective method to address this challenge is to fuse multi-scale features. To boost the performance of this kind of method, most existing DRLS methods work on devising sophisticated multi-scale feature fusion modules. Differently, we focus on improving the quality of the multi-scale features to enhance the fused multi-scale feature representation. To this end, we design a Wavelet-based Scale-specific Recurrent Feedback Network (WSRFNet), which refines multi-scale features using recurrent feedback mechanism. Specifically, to avoid information loss when introducing feedback to multi-scale features, we propose a wavelet-based feedback pyramid module (WFPM), which is based on a reversible downsampling operation, i.e., Haar wavelet transform. Unlike scale-agnostic feedback used in previous feedback methods, we develop a scale-specific refinement module (SRM), which utilizes scale-specific feedback to pointedly refine features of different scales. Experimental results on IDRiD and DDR datasets show that our approach outperforms state-of-the-art models. The code is available at https://github.com/xuanli01/WSRFNet.