bluuebunny/crossref_metadata_2025 huggingface dataset:
Look-alike modelling in violence-related research: A missing data approach
Authors: Barbosa Estela Capelas , Blom Niels , Bunce Annie
Published: January 2025

Violence has been analysed in silo due to difficulties in accessing data and concerns for the safety of those exposed. While there is some literature on violence and its associations using individual datasets, analyses using combined sources of data are very limited. Ideally data from the same individuals would enable linkage and a longitudinal understanding of experiences of violence and their (health) impacts and consequences. This paper aims to provide proof of concept to create a synthetic dataset by combining data from the Crime Survey for England and Wales (CSEW) and administrative data from Rape Crisis England and Wales (RCEW), pertaining to victim-survivors of sexual violence in adulthood. Intuitively, the idea was to impute missing information from one dataset by borrowing the distribution from the other. In our analyses, we borrowed information from CSEW to impute missing data in the RCEW administrative dataset, creating a combined synthetic RCEW-CSEW dataset. Using look-alike modelling principles, we provide an innovative and cost-effective approach to exploring patterns and associations in violence-related research in a multi-sectorial setting. Methodologically, we approached data integration as a missing data problem to create a synthetic combined dataset. Multiple imputation with chained equations were employed to collate/impute data from the two different sources. To test whether this procedure was effective, we compared regressions analyses for the individual and combined synthetic datasets on binary, continuous and categorical variables. We extended our testing to an outcome measure and, finally, applied the technique to a variable fully missing in one data source. Our results show that the effect sizes for the combined dataset reflect those from the dataset used for imputation. The variance is higher, resulting in fewer statistically significant estimates. Our approach reinforces the possibility of combining administrative with survey datasets using look-alike methods to overcome existing barriers to data linkage.
Impact of communication anxiety on L2 WTC of middle school students: Mediating effects of growth language mindset and language learning motivation
Authors: Wang Juan , Zhou Tongquan , Fan Cunying
Published: January 2025

Previous research has shown a connection between communication anxiety and willingness to communicate (WTC) among English as a foreign/second language (L2) learners. Nonetheless, the potential mediating roles of learners’ beliefs like growth language mindset and language learning motivation have not been thoroughly investigated, particularly in the context of middle school language learners. This study aimed to explore the relationship between communication anxiety and L2 WTC by considering the mediating roles of growth language mindset and language learning motivation. To achieve this goal, an online survey was administered to 847 participants from five middle schools in eastern China. Structural equation modeling was employed to analyze the collected data. The findings revealed that L2 WTC was negatively impacted by communication anxiety and growth language mindset, while positively influenced by language learning motivation. Additionally, communication anxiety had a negative effect on both growth language mindset and language learning motivation, whereas growth language mindset exerted a positive effect on language learning motivation. Moreover, either individually or synergistically, growth language mindset and language learning motivation played mediating roles in the relationship between communication anxiety and L2 WTC. These research findings have significant implications for understanding the interrelationship among the variables, offering an innovative perspective on the mediating effects of growth language mindset and language learning motivation on communication anxiety and WTC among secondary school students. Consequently, this study provides valuable insights for language learning and instruction among middle school students and teachers.
Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy
Authors: Zeng Xiaohua , Liang Changzhou , Yang Qian , Wang Fei , Cai Jieping
Published: January 2025

Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual tuning of LSTM parameters significantly impacts model performance. PSO-LSTM model leveraging PSO’s efficient swarm intelligence and strong optimization capabilities is proposed in this article. The experimental results on six global stock indices demonstrate that PSO-LSTM effectively fits real data, achieving high prediction accuracy. Moreover, increasing PSO iterations lead to gradual loss reduction, which indicates PSO-LSTM’s good convergence. Comparative analysis with seven other machine learning algorithms confirms the superior performance of PSO-LSTM. Furthermore, the impact of different retrospective periods on prediction accuracy and finding consistent results across varying time spans are. Conducted in the experiments.
Artificial intelligence and network science as tools to illustrate academic research evolution in interdisciplinary fields: The case of Italian design
Authors: Pretolesi Daniele , Stanzani Ilaria , Ravera Stefano , Vian Andrea , Barla Annalisa
Published: January 2025

In this paper, we explore the application of Artificial Intelligence and network science methodologies in characterizing interdisciplinary disciplines, with a specific focus on the field of Italian design, taken as a paradigmatic example. Exploratory data analysis and the study of academic collaboration networks highlight how the field is evolving towards increased collaboration. Text analysis and semantic topic modelling identified the evolution of research interest over time, defining a ranking of pairs of keywords and three prominent research topics: User-Centric Experience Design, Innovative Product Design and Sustainable Service Design. Our results revealed a significant transformation in the field, with a shift from individual to collaborative research, as evidenced by the increasing complexity and collaboration within groups. We acknowledge the limitations faced by this work, suggesting that the methodology may be primarily suitable for bibliometric and more silos-like disciplines. However, we emphasize the urgency for the scientific community to address the future of research not indexed by large open-access databases like OpenAlex.
Efficacy of virtual reality balance training on rehabilitation outcomes following anterior cruciate ligament reconstruction: A systematic review and meta-analysis
Authors: Du Chao , Gu Nei-Meng , Guo Tian-Ci , Liu Ai-Feng
Published: January 2025

Objective

The objective of this systematic review and meta-analysis is to clarify the rehabilitation efficacy of virtual reality (VR) balance training after anterior cruciate ligament reconstruction (ACLR).

Methods

This meta-analysis was registered in PROSPERO with the registration number CRD42024520383. The electronic databases PubMed, Web of Science, Cochrane Library, MEDLINE, Embase, China National Knowledge Infrastructure, Chinese Biomedical Literature, China Science and Technology Journal Database, and Wanfang Digital Periodical database were systematically searched to identify eligible studies from their inception up to January 2024. The investigated outcomes included International Knee Documentation Committee (IKDC) score, visual analogue scale (VAS), Holden grading, Extensor peak torque (EPT), Flexor peak torque (FPT), knee reaction time, knee reproduction angle difference. The pooled mean difference (MD) and 95% confidence intervals (CIs) were calculated using the random-effects model.

Results

Six RCTs with a total of 464 patients after unilateral ACLR were included for 8–12 weeks of VR balance training intervention. Analysis of the results showed that compared with the conventional rehabilitation control group, the VR balance training group significantly improved the International Knee Documentation Committee (IKDC) score (MD = 3.88, 95%CI: 0.95~6.81), Holden grading (MD = 0.42, 95%CI: 0.33~0.51), Extensor peak torque (EPT) (MD = 12.03, 95%CI: 3.28~20.78)and Flexor peak torque (FPT) (MD = 14.57, 95%CI: 9.52~19.63) in postoperative ACLR patients, and significantly reduced knee reaction time (MD = -0.30, 95%CI: -0.35~-0.25), knee angle reproduction difference at 30° (MD = -0.88, 95%CI: -1.16~-0.61), knee angle reproduction difference at 60° (MD = -0.80, 95%CI: -1.09~-0.50), and VAS score (MD = -0.52, 95%CI: -0.65~-0.39).

Conclusion

Since many of the included results are based on low—or very—low—quality evidence, although the results show a certain trend, the conclusion has great uncertainty. In the rehabilitation training following ACLR and lower—limb balance training, the application of VR might be advantageous for the recovery of patients’ knee joint function, lower—limb muscle strength, proprioception, and pain management. The level of immersion may influence the rehabilitation outcome. Because of the limitations in data quality and heterogeneity as well as the small sample size, the strength of the conclusions is weakened. These findings should be verified in further large-scale prospective studies.
Epidemiology of gastrointestinal parasites of dogs in four districts of central Ethiopia: Prevalence and risk factors
Authors: Bayou Kibruyesfa , Terefe Getachew , Kumsa Bersissa
Published: January 2025

From February 2022 to April 2023, a cross-sectional study on dog gastrointestinal parasites was conducted in Bishoftu, Dukem, Addis Ababa, and Sheno, Central Ethiopia, with the aim of estimating the prevalence and evaluating risk factors. A total of 701 faecal samples were collected and processed using floatation and McMaster techniques. In dogs that were investigated, the overall prevalence of gastrointestinal parasites was 53.1% (372/701). Nematode (28.2%), cestode (8.4%), and protozoan (5.6%) parasite infections were detected in dogs in both single (42.2%) and combined (10.8%) infections. With respective prevalences of 16%, 9.8%, 5%, 3.9%, and 3.1% Ancylostoma spp., Toxocara canis, Dipylidium caninum, Giardia spp., and Taenia/Echinococcus spp. were the most common parasites. The prevalence of gastrointestinal parasites was significantly higher (P<0.05) in female dogs (73.8%, OR = 0.4), adult dogs (55.3%, OR = 0.4), dogs that were given raw food (57.9%, OR = 2.7), and dogs kept free outdoor (60.9%, OR = 2.4). The incidence of gastrointestinal parasites was also higher in dogs with diarrheal faecal consistency (89.1%, OR = 9.1) and dogs from highland areas (62.1%, OR = 1.8). In contrast, statistically significant variation in the prevalence of gastrointestinal parasites was not recorded among dogs of different breeds. The current study found that dogs in the studied locations had a high overall prevalence of gastrointestinal parasites. In conclusion, gastrointestinal parasites in dogs have the potential to pose a serious threat to public health, so addressing this issue requires a unified approach. Therefore, it is necessary to conduct detailed epidemiological and genetic research on dog parasites in vast study regions across various agro-ecologies zones and seasons in Ethiopia. Additionally, it is crucial to raise public awareness of the prevalence, effects on public health, and financial implications of dog gastrointestinal parasites in Ethiopia.
Wearable devices may aid the recognition of fluctuation-related pain in Parkinson’s disease—An exploratory, cross-sectional analysis of two prospective observational studies
Authors: Rukavina Katarina , Staunton Juliet , Zinzalias Pavlos , Krbot Skoric Magdalena , Wu Kit , Bannister Kirsty , Rizos Alexandra , Ray Chaudhuri K.
Published: January 2025

Fluctuation-related pain (FRP) affects more than one third of people with Parkinson’s disease (PwP, PD) and has a harmful effect on health-related quality of life (HRQoL), but often remains under-reported by patients and neglected by clinicians. The National Institute for Health and Care Excellence (NICE) recommends The Parkinson KinetiGraphTM (the PKGTM) for remote monitoring of motor symptoms. We investigated potential links between the PKGTM-obtained parameters and clinical rating scores for FRP in PwP in an exploratory, cross-sectional analysis of two prospective studies: “The Non-motor International Longitudinal, Real-Life Study in PD—NILS” and “An observational-based registry of baseline PKG™ in PD—PKGReg”. 63 PwP (41.3% female; age: 64.24±9.88 years; disease duration, DD: 6.83±5.63 years; Hoehn and Yahr Stage, H&Y: 2 (1–4); Levodopa Equivalent Daily Dose 535 (0–3230) mg) were included. PwP with FRP (n = 23) had longer DD (8.88 (1.29–19.05) vs. 3.16 (0.34–28.92), p = 0.001), higher severity of motor symptoms (H&Y 3 (1–4) vs. 2 (1–4), p = 0.015; SCOPA Motor total score 21.35±10.19 vs. 13.65±8.99, p = 0.003), more dyskinesia (SCOPA Motor Item 18 ≥1 60.9% vs. 7.5%, p<0.001), and worse HRQoL (PDQ-8 Total Score 10.74±5.98 vs. 6.78±5.13, p = 0.007) then PwP without FRP (n = 40). In the multivariate logistic regression, after the adjustment for DD, H&Y and SCOPA-Motor total score, the presence of FRP was significantly associated with the PKGTM-derived Fluctuation-dyskinesia score (Exp (B) = 1.305, 95% CI for Exp (B) 1.012–1.683, p = 0.040) and the Bradykinesia score (Exp (B) = 0.917, 95% CI for Exp (B) 0.842–0.999, p = 0.048). The PKGTM system may potentially advance the way we screen for, assess, and treat FRP in clinical practice.
Effect of the PakCat program on nutrition status, dietary pattern and nutrition knowledge and skills of Pakistani women living in Catalonia evaluated by a mixed-method randomized control trial (RCT)
Authors: Mohamed-Bibi Saba , Ribot-Serra Blanca , Vaqué-Crusellas Cristina
Published: January 2025

Background

Pakistani women are among the most affected groups by obesity and heart failure in Catalonia. Due to cultural and linguistic barriers, their participation in standard health promotion programs is limited. To address this issue, we implemented a culturally and linguistically appropriate food education program called the PakCat Program.

Methods

The study employed a community-based participatory research (CBPR) design, utilizing a two-arm, cluster-assignment, non-blinded mixed-method randomized control trial (RCT) implemented in Badalona and Santa Coloma de Gramenet, two neighboring municipalities with a substantial Pakistani population. Participants were randomly assigned to the control group (n = 67) and the intervention group (n = 70). The intervention group received ten weekly culturally and linguistically appropriate food education sessions over ten weeks, while the control group attended three general sessions. The main outcome measures included nutritional status, nutrition knowledge and skills, dietary patterns, and satisfaction with the intervention, which were assessed pre-and post-intervention combining quantitative methods based on a survey and qualitative approaches consisting of conducting focus group discussions (FGDs).

Results

The quantitative analysis conducted through a two-factor analysis of variance (ANOVA) for repeated measures indicated a significant improvement in the study variables across the entire sample (p < 0.001 within group), with the intervention group experiencing greater improvements in nutrition knowledge and skills and dietary pattern (p <0.001 for interaction and between groups). These findings were corroborated by thematically analyzed qualitative data confirming a more pronounced improvement in the study outcomes of the intervention group. Furthermore, both groups reported a high level of satisfaction with the intervention.

Conclusions

The PakCat Program effectively improved the nutrition knowledge, skills, and dietary patterns of immigrant women of Pakistani origin residing in Catalonia. However, future research involving a larger sample size and combining the behavioral and clinical parameters is needed to enhance the generalizability of the results.
Patients’ attitudes toward artificial intelligence (AI) in cancer care: A scoping review protocol
Authors: Hilbers Daniel , Nekain Navid , Bates Alan T. , Nunez John-Jose
Published: January 2025

Background

Artificial intelligence broadly refers to computer systems that simulate intelligent behaviour with minimal human intervention. Emphasizing patient-centered care, research has explored patients’ perspectives on artificial intelligence in medical care, indicating general acceptance of the technology but also concerns about supervision. However, these views have not been systematically examined from the perspective of patients with cancer, whose opinions may differ given the distinct psychosocial toll of the disease.

Objectives

This protocol describes a scoping review aimed at summarizing the existing literature on the attitudes of patients with cancer toward the use of artificial intelligence in their medical care. The primary goal is to identify knowledge gaps and highlight opportunities for future research.

Methods

This scoping review protocol will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA-ScR). The electronic databases MEDLINE (OVID), EMBASE, PsycINFO, and CINAHL will be searched for peer-reviewed primary research articles published in academic journals. We will have two independent reviewers screen the articles retrieved from the literature search and select relevant studies based on our inclusion criteria, with a third reviewer resolving any disagreements. We will then compile the data from the included articles into a narrative summary and discuss the implications for clinical practice and future research.

Discussion

To our knowledge, this will be the first scoping review to map the existing literature on the attitudes of patients with cancer regarding artificial intelligence in their medical care.
“When I talk about it, my eyes light up!” Impacts of a national laboratory internship on community college student success
Authors: Coté Laleh E. , Van Doren Seth , Zamora Astrid N. , Jaramillo Salcido Julio , Law Esther W. , Munoz Gabriel Otero , Manocha Aparna , Flood Colette L. , Baranger Anne M.
Published: January 2025

Participation in technical/research internships may improve undergraduate graduation rates and persistence in science, technology, engineering, and mathematics (STEM), yet little is known about the benefits of these activities a) for community college students, b) when hosted by national laboratories, and c) beyond the first few years after the internship. We applied Social Cognitive Career Theory (SCCT) to investigate alumni perspectives about how CCI at Lawrence Berkeley National Laboratory (LBNL) impacted their academic/career activities. We learned that alumni had low confidence and expectations of success in STEM as community college students. Participation in CCI increased their professional networks, expectations of success, and STEM skills, identity, and self-efficacy/confidence. Hispanic/Latinx alumni recalled the positive impact of mentors who prioritized personal connections, and women valued “warm” social environments. We propose several additions to the SCCT model, to better reflect the supports and barriers to STEM persistence for community college students.
Treatment of Bile Acid Diarrhea With Glucagon-Like Peptide 1 Receptor Agonists: A Promising Yet Understudied Approach
Authors: Ellegaard Anne-Marie , Kårhus Martin L. , Winther-Jensen Matilde , Lund Asger B. , Knop Filip K.
Published: January 2025

Bile acid diarrhea (BAD) is a chronic and socially debilitating disease characterized by abdominal pain, diarrhea, urgency, and fecal incontinence. Recently, in a 6-week randomized controlled trial, we showed that the glucagon-like peptide 1 receptor agonist (GLP-1RA) liraglutide is superior to bile acid sequestration (considered standard-of-care) using colesevelam in reducing BAD symptoms. The emergence of new, more potent, and longer-acting GLP-1RAs has spurred an interest in these treatments in BAD management. Here, we review the literature on different GLP-1RAs in BAD treatment and outline their potential mode of actions, highlight knowledge gaps, and outline the need for further clinical evidence generation.
Edible Coating Based on Aloe Vera Mucilage to Preserve Whole Slices of Pineapple Fruit
Authors: Dussán Sarria Saúl , Hleap Zapata José Igor , Camacho Tamayo Jesús Hernán
Published: January 2025

This work is aimed at studying the changes in the quality attributes of fresh-cut pinea-pple fruit due to the application of a coating based of aloe vera. 10 kg of fresh fruit were selected and classified, from which cuts were obtained from whole slices that were previously sanitized and immersed in a 1.5% (w/w) of solution of calcium chloride, citric acid at 1.5% (w/w), and ascorbic acid at 1.5% (w/w), then, the edible coating was applied, which was made from Aloe vera gel to 50% (w/w), glycerol to 1.75% (w/w), polysorbate 20 to 0.01% (w/w), canola vege-table oil to 0.7% (w/w), and distilled water to 47.54%. The pineapple fruit in whole sli-ces, with coating based of aloe vera, packed in vacuum, and stored at 5±1°C and 85±3% RH, presented suitable sensory attributes, pH values and firmness, and microbiologi-cal values up to day 15 storage.
Predicción de heladas y variables meteorológicas relevantes en agricultura en la sabana de Bogotá usando Machine Learning
Authors: Castillo Méndez Robinson , Camacho Castro Julian Andrés
Published: January 2025

A partir de información histórica de variables climatológicas y de las heladas, es posible mejorar las decisiones tomadas en las actividades de la agricultura, buscando determinar patrones que garanticen mayor rendimiento y calidad de los cultivos e implementando modelos de predicción basados en machine learning (ML). Se propone desarrollar un modelo ML que permita determinar el comportamiento de las variables meteorológicas temperatura, pluviosidad y humedad relativa, así como de las heladas en la Sabana de Bogotá. Se ha partido de la conformación de una base de datos históricos de estas variables desde 2010 hasta abril de 2023, considerando información de diez estaciones meteorológicas diferentes de la región. Ha sido necesario implementar técnicas de imputación de datos en los vacíos de información. Para determinar el modelo con la respuesta más cercana a la realidad, se desarrolló un modelo basado en regresión lineal múltiple y otro en redes neuronales artificiales. De acuerdo con los resultados obtenidos y el nivel de error absoluto, el segundo modelo aproxima sus predicciones más cerca a los datos reales. El trabajo desarrollado puede ser una herramienta esencial para generar un sistema de alerta temprana que ayude a los agricultores de la Sabana de Bogotá.
Transformación digital: Evolución de las aplicaciones de inteligencia artificial en la industria del café
Authors: Largo Avila Esteban , Suárez Rodríguez Carlos Hernán , Arango Espinal Edwin
Published: January 2025

La evolución de la Inteligencia Artifical (IA) en café es crucial para transformar esta agroindustria. Colombia produce anualmente 12.6 millones de sacos y desarrolla investigación sobre IA aplicada al sector; desde la detección de defectos en granos hasta la optimización del tueste para mejorar la calidad del café. Sin embargo, se carece de publicaciones que aborden líneas de investigación e indicadores de manera completa. En este contexto, este trabajo de investigación se fundamentó en un análisis estadístico multivariado de clúster jerárquico usado bajo la metodología de análisis bibliométrico. Este permitió inferir la tendencia actual de investigación en IA aplicada a la industria del café. Además, mediante técnicas bibliométricas de búsqueda de información se obtuvieron 208 documentos de la base de datos Scopus que fueron analizados con estadísticos descriptivos. Los resultados arrojaron que investigadores colombianos impactan significativamente la producción de conocimiento en IA aplicada al café, en comparación con Brasil, mayor productor de café. También, se identificaron líneas de investigación en análisis de mercado mediante Aprendizaje Automático (AA), tecnologías para detectar enfermedades y mejorar la productividad, métodos algorítmicos para resolver desafíos en esta agroindustria, y uso de teledetección e IA para la gestión ambiental y agrícola en la producción.
Evaluación de la calidad de la energía eléctrica suministrada por una planta solar fotovoltaica conectada a la red haciendo uso de algoritmos de aprendizaje automático y de minería de datos
Authors: Yajure Ramírez César Aristóteles
Published: January 2025

La presencia de plantas solares fotovoltaicas para la producción de electricidad implica la disminución del uso de combustibles fósiles, y la reducción de las emisiones contaminantes. La disponibilidad de la energía solar depende de las condiciones climáticas, por lo que los parámetros de la energía eléctrica a entregar podrían verse afectados. El objetivo de esta investigación es mostrar una metodología basada en la ciencia de datos para la evaluación de la calidad de la energía de plantas solares fotovoltaicas conectadas a la red, considerando los estándares vigentes. Se aplica a una planta de 260 kWp del Instituto Nacional de Estándares y Tecnología de los Estados Unidos. Los parámetros utilizados son la distorsión armónica total, fluctuaciones y desbalance de voltaje, frecuencia eléctrica, y factor de potencia. Casi el 100% de los registros cumplen con los límites establecidos por los estándares para los parámetros, a excepción del factor de potencia, con un 63,56%. Del modelo de clasificación del factor de potencia se obtuvo que la potencias aparente y activa, y la frecuencia, son las variables más importantes. Del algoritmo de descubrimiento de subgrupos, se obtuvo que la irradiancia solar aparece en el 40% de los subgrupos, y la frecuencia en el 50%.
PERBANDINGAN FUNGSI KALIMAT KONDISIONAL TEWA DAN BAAI BERDASARKAN MODALITAS DAN TEORI TERITORI INFORMASI
Authors: Artadi Ari , Setiawan Hari
Published: January 2025

Bahasa Jepang pada umumnya menggunakan pola kalimat to, tara, reba, dan nara untuk membentuk kalimat kondisional. Namun, kalimat kondisional bahasa Jepang juga dapat dibentuk dengan menggunakan pola tewa dan baai. Penjelasan tentang fungsi, makna, dan perbandingan pola kalimat kondisional tewa dan baai tersebut perlu diteliti. Dalam penelitian ini, kalimat kondisional yang dikumpulkan dari korpus media surat kabar Jepang akan dianalisis berdasarkan jenis kalimat kondisional, modalitas, dan teori teritori informasi. Analisis menunjukkan bahwa fungsi utama kalimat kondisional tewa adalah kalimat kondisional repetitif yang menunjukkan perihal yang tidak diinginkan. Modalitas yang digunakan adalah modalitas aletis atau modalitas epistemik. Modalitas intensional dan deontik tidak ditemukan dalam kalimat kondisional tewa. Oleh karena itu, kandungan informasi kalimat kondisional tewa berada dalam teritori penutur dan mitra tutur. Sebaliknya, fungsi utama kalimat kondisional baai adalah kalimat kondisional hipotetis yaitu untuk menunjukkan hipotesis atau asumsi yang kuat. Modalitas yang digunakan dalam kalimat kondisional baai beragam, mulai dari modalitas intensional hingga modalitas aletis. Oleh karena itu, informasi dalam kalimat kondisional baai berada di wilayah pembicara.
ANALISIS PENERJEMAHAN LIRIK LAGU BERBAHASA JEPANG OLEH MAHASISWA SEMESTER 6
Authors: Rahim Sissy Nurvidati , Cahyani Yesy Tri
Published: January 2025

Penerjemahan lirik lagu merupakan satu bidang penerjemahan yang mulai diminati oleh orang Indonesia, seiring dengan semakin banyaknya lagu-lagu Jepang yang populer di Indonesia. Penelitian ini dilakukan untuk melihat metode penerjemahan dan menilai kualitas penerjemahan lirik lagu mahasiswa semester 6 Prodi Bahasa Jepang dalam kelas Penerjemahan Fiksi. Penelitian ini dilaksanakan dengan metode kualitatif dengan pendekatan deskriptif, menggunakan sumber data primer dari hasil penerjemahan mahasiswa pada bagian (verse) pertama lagu berbahasa Jepang yang dipilih, untuk dinilai kualitas terjemahannya oleh dosen . Hasil penerjemahan dianalisis menggunakan teori metode dan prosedur penerjemahan Peter Newmark (1998) dan model penilaian kualitas penerjemahan dari M. Nababan (2012). Terjemahan berupa lirik lagu yang dapat dinyanyikan dan tidak dinyanyikan. Dalam penelitian ini ditemukan bahwa mahasiswa menggunakan 3 metode penerjemahan yaitu semantis, setia, dan bebas; menggunakan 4 prosedur penerjemahan yaitu modulasi, literal, transposisi, dan recognised translation. Rata-rata nilai kualitas penerjemahannya adalah 2.81.
Gaya Bahasa dan Makna dalam Iklan Produk Glico pada Channel Youtube Glico Japan
Authors: Trahutami, S.S., M. Hum Sri Wahyu Istana - , Trahutami, S.S., M. Hum Sri Wahyu Istana
Published: January 2025

This paper will study the comparison between of Language Style and Meaning in Glico Product Advertisements on the Glico Japan YouTube Channel." This research aims to: 1) To describe the language style used in advertisements on the Glico Japan YouTube Channel; 2) Describe the meanings contained in advertisements on the Glico Japan YouTube Channel. The research data were obtained from twenty-six Glico advertisements found on the Glico Japan YouTube channel. The data collection method in this thesis was simak method with catat technique. Then, using pilah unsur penentu to analyze the data. Meanwhile, informal method is used to presenting the results of the analysis. Based on the results of the analysis, it can be concluded that there are 16 instances of repetition language style; simile; metaphor; personification; hyperbole; and inversions. Meanwhile, for meanings, there are conceptual meanings, affective meanings, and connotative meanings.
PENYELESAIAN TINDAK PIDANA PERKOSAAN PADA MASYARAKAT ADAT KAYU ARO DALAM PERSPEKTIF RESTORATIVE JUSTICE
Authors: Febrianda Lis , Priyono FX Joko , Putra Deka
Published: January 2025

Di komunitas adat Kayu Aro, penyelesaian kejahatan pemerkosaan diatur oleh 20 hukum adat, dengan hukuman khusus yang diatur dalam hukum 8 adat Tigo Luhah, yang mencakup sanksi yang disebut “gdang sbut gdang baye”. Tujuan penelitian ini adalah untuk menganalisis mekanisme penyelesaian kejahatan pemerkosaan di komunitas adat Kayu Aro dari perspektif keadilan restoratif. Metode penelitian yang digunakan adalah pendekatan socio-legal, dengan menggunakan data primer dan sekunder. Pengumpulan data dilakukan melalui analisis dokumen dan wawancara, diikuti dengan analisis data kualitatif. Kesimpulannya adalah: Penyelesaian kejahatan pemerkosaan berdasarkan hukum adat Tigo Luhah melibatkan lembaga lembago jati, lembago kurung, lembago negeri, dan lembago alam; Sanksi adat termasuk hukuman sumbang salah dan anak bini uhang.
Datenmanagement 4.0: Künstliche Intelligenz als Treiber für innovative Forschungsinformationssysteme
Authors: Azeroual Otmane , Störl Uta , Rothfritz Laura , Schöpfel Joachim , Herb Ulrich , Borges Georg
Published: January 2025

In der Ära rasanter technologischer Fortschritte erweisen sich traditionelle Methoden des Forschungsinformationsmanagements als unzureichend. Präsentiert wird eine Projektskizze, die das Konzept „Data Management 4.0“ einführt. Dieses Konzept nutzt Künstliche Intelligenz (KI), um Forschungsinformationssysteme signifikant zu verbessern. Durch die Integration KI-gestützter Lösungen könnten Institutionen eine erhöhte Effizienz, Genauigkeit und optimale Ressourcenzuteilung bei der Handhabung großer und vielfältiger Forschungsinformationen erreichen. Der Ansatz berücksichtigt zentrale Herausforderungen wie Datenintegration, -bereinigung, -analyse und -sicherheit. Zusätzlich werden fünf praxisnahe Szenarien präsentiert, die konkrete Anwendungen von KI in Forschungsinformationssystemen illustrieren und zeigen, wie spezifische Probleme im Forschungsinformationsmanagement gelöst werden könnten. Das vorgeschlagene Projekt zielt darauf ab, Forschungsinformationssysteme durch maßgeschneiderte KI-Lösungen zu optimieren und umfasst eine umfassende Strategie, die Bedarfsanalyse, Implementierung und kontinuierliche Verbesserung berücksichtigt. Mit seiner Veröffentlichung wird das Konzept einer breiten Diskussion zugänglich gemacht. Diese Arbeit möchte die Praxis des Forschungsinformationsmanagements transformieren und einen intelligenteren sowie effizienteren Ansatz zur Handhabung von Forschungsinformationen fördern.
Wie speichert man Wissen? Von Büchern zu Wissensgraphen und Sprachmodellen
Authors: Krestel Ralf
Published: January 2025

Heutige Computeranwendungen sind in der Lage, große Mengen an Wissen zu speichern. Neben großen Sprachmodellen (LLMs), wie ChatGPT, finden auch Wissensgraphen, welche Fakten in Form von Tripeln speichern, Anwendung in modernen Informations- und Wissenssystemen. Diese Zusammenfassung eines Vortrags liefert eine Einführung in diese Technologien und zeigt anhand von Beispielen, wie diese funktionieren und was ihre Stärken und Schwächen sind.
Flavian feathers: expressing dynasty and divinity through peacocks
Authors: Betjes Sven , Foubert Lien
Published: January 2025

In 82/3 CE the peacock was introduced on Roman imperial coins. It appeared on the reverse of precious-metal coins struck for Domitia Longina, and reappeared in 88/9 for the same empress and for Julia Titi. This article contextualizes these coins in both the iconographic tradition and the contemporary politics of Domitian’s Rome. It shows that the appearance of the peacock served a twofold purpose: on the one hand, it was part of a programmatic depiction of the imperial couple as Jupiter and Juno; on the other hand, it belonged to a new way of visualizing the divine triad worshipped in the Capitolium as restored by Domitian. The article illustrates how the peacock was embedded in a concerted program that simultaneously highlighted the Flavian dynasty, the apotheosis of its deceased members (both men and women), the divine association of those alive, and the dynasty’s care for the cityscape. In doing so, the coins stood at the beginning of an imperial tradition in which all of these elements became part of imperial (self-)display.
A Kinetic Enhanced Tuck Jump Assessment Exposes Residual Biomechanical Deficits in Female Athletes 9 Months Post Anterior Cruciate Ligament Reconstruction
Authors: Kember Lucy S. , Riehm Christopher D. , Schille Andrew , Slaton Jake A. , Myer Gregory D. , Lloyd Rhodri S.
Published: January 2025

Kember, LS, Riehm, CD, Schille, A, Slaton, JA, Myer, GD, and Lloyd, RS. Residual biomechanical deficits identified with the tuck jump assessment in female athletes 9 months after ACLR surgery. J Strength Cond Res XX(X): 000–000, 2024—Addressing biomechanical deficits in female athletes after anterior cruciate ligament reconstruction (ACLR) is crucial for safe return-to-play. The tuck jump assessment (TJA) is used to identify risks associated with ACL injury, yet its fundamental analyses lack the ability to explore landing forces. Kinetic asymmetries during the TJA were assessed in athletes with ACLR (n = 38) and matched healthy controls (n = 21) using discrete time-point analysis and statistical parametric mapping (p < 0.05). The ACLR group performed fewer jumping cycles with distinct kinetic differences, including longer ground contact time (g = 1.45), larger peak center of mass displacement (g = 1.29), and lower peak vertical ground reaction force (VGRF) (g = −2.05) and relative leg stiffness (g = −1.51). Greater interlimb kinetic asymmetries were evident in the ACLR group for VGRF (g = 0.84), relative leg stiffness (g = 0.85), average loading rate (g = 0.84), peak braking force (g = 0.85), and time of braking (g = 0.80) and propulsive peaks (g = 1.04). Moderate differences in VGRF favored the uninvolved limb of the ACLR group for the majority (2–100%) of the stance phase of TJA (d = −0.52). Distinct jump-landing strategies between ACLR athletes and healthy controls were revealed during the TJA, which may indicate compromised stretch-shortening cycle function. Findings highlight the need for targeted rehabilitation to foster greater kinetic symmetry in jump-landing performance and underscore the importance of longitudinal and progressive monitoring for optimized return-to-play outcomes in athletes after ACLR.
Endogenous Opioid Peptides After Floatation Therapy in Resistance-Trained Men
Authors: Kraemer William J. , Caldwell Lydia K. , Post Emily M. , Volek Jeff S. , Hagen Josh M. , Newton Robert U. , Häkkinen Keijo , Omonije Oluseun , Maresh Carl M.
Published: January 2025

Kraemer, WJ, Caldwell, LK, Post, EM, Volek, JS, Hagen, JM, Newton, RU, Häkkinen, K, Omonije, O, and Maresh, CM. Endogenous opioid peptides after floatation therapy in resistance trained men. J Strength Cond Res 38(10): 1808–1812, 2024—Floatation-restricted environmental stimulation therapy (Float-REST) has shown improvements in muscle soreness and fatigue. To determine whether float influences the release of beta-endorphin (β-End) and proenkephalin (ProEnk) after acute heavy resistance exercise, 11 healthy resistance-trained men (age: 22.5 ± 2.3 years; height: 176.4 ± 6.0 cm; body mass: 85.7 ± 6.2 kg, back squat one-repetition maximum: 153.1 ± 20.1 kg; strength-to-mass ratio: 1.8 ± 0.2) completed a within-subject, cross-over controlled study design. Subjects completed 2 exercise testing blocks separated by a 2-week washout. In one block, a 1-hour float session followed the high-intensity resistance exercise protocol (6 × 10 back squats at 80% 1RM, 2 minutes rest). By contrast, recovery in the alternate block consisted of a passive sensory-stimulating control. Blood samples were collected at 5 time points—before exercise, immediately after exercise, after1-hour recovery treatment, 24 hours after exercise, and 48 hours after exercise. Samples were analyzed in duplicate for β-End and ProEnk using ELISA immunoassays. Mean differences were assessed using repeated-measures ANOVA. Plasma β-End demonstrated the expected significant (p ≤ 0.05) increase following resistance exercise in both treatment conditions. There were no significant changes with exercise stress for ProEnk precursor peptide. The absence of significant differential changes following Float-REST suggests that these opioid peptides may not underlie the deep relaxation experiences commonly reported with this intervention in trained men. However, practically, it shows that β-End remains consistently similarly increased to high-intensity exercise stress. However, the ProEnk concentrations are detectable and stable but do not respond to the workout protocol, which, as a primary opioid peptide precursor, suggests paracrine cybernetics in the circulation may exist.
The Use of the Self-Selected Rest Interval Method Is as Effective for Optimizing Postactivation Performance Enhancement in Elite Athletes as Employing the Best Fixed Rest Interval
Authors: Fontanetti Gabriel , Barreto Renan V. , Junior Rubens C. , Marangoni Victor , Denadai Benedito S. , Greco Camila C. , Lima Leonardo C. R.
Published: January 2025

Fontanetti, G, Barreto, RV, Junior, RC, Marangoni, V, Denadai, BS, Greco, CC, and Lima, LCR. The use of the self-selected rest interval method is as effective for optimizing postactivation performance enhancement in elite athletes as employing the best fixed rest interval. J Strength Cond Res XX(X): 000–000, 2024—This study investigated whether the adoption of a self-selected recovery interval (SSI) is more effective than the use of a fixed recovery interval (FRI) to elicit postactivation performance enhancement (PAPE). Ten male professional volleyball athletes (20.6 ± 1.5 years; 92.8 ± 4.9 kg; 195 ± 8 cm) participated in 3 experimental sessions, in random order, following familiarization with countermovement jump (CMJ) exercises and determination of the load for 5-repetition maximum (5RM: 146 ± 27 kg) squat exercise. The 3 experimental sessions consisted of (a) control session (CON), with measurement of CMJ height 4 minutes before and 2, 4, 6, 8, and 10 minutes after subjects rested while sitting in a chair without performing any preactivation (PA) protocol; (b) session with FRI, with measurement of CMJ height 2, 4, 6, 8, and 10 minutes after performing a PA exercise consisting of 5 squats with 5RM load; and (c) session with SSI, with evaluation of CMJ height once after performing the PA adopting a SSI based on a readiness scale. No significant differences were found between CMJ height in the CON session. Countermovement jump height was higher (p < 0.05) than the baseline measurement at minutes 4, 6, and 8 post-PA in the FRI session, for the best CMJ performance during the FRI session, and after the PA in the SSI session. No significant differences were found between the heights of the best CMJ in the FRI session (49.2 ± 6.8 cm) and post-PA in the SSI session (49.6 ± 6.6 cm). Therefore, adopting FRI and SSI is equally effective in eliciting PAPE in elite athletes. Despite being as effective as adopting FRI to elicit PAPE, SSI is more intuitive and easily applicable in contexts where PAPE can be implemented.
Measuring Vertical Integration in the Technology Sector: Indonesia, the US, and the EU in Unfair Competition
Authors: Anggraini Anna Maria Tri , Sabirin Ahmad , Wangga Maria Silvya Elisabeth , Fernandez Serena Ortigosa , Abrianti Sharda
Published: January 2025

On several occasions, Indonesian competition authorities have attempted to apply Article 14 to adjudicate violations related to vertical integration practices; however, these attempts were invalidated at the objection and cassation levels. The criteria utilized include the concepts of unfair business competition and public harm, as these terms are instrumental in determining the impacts of violations concerning vertical integration. This research aims to examine the legal approaches employed by Indonesian competition authorities in addressing vertical integration, with a particular focus on the technology sector. The findings indicate that the criteria for assessing whether vertical integration constitutes a violation of unfair business competition vary among Indonesia, the United States, and the European Union. In Indonesia, the emphasis is on preventing the exclusion of access to essential raw materials or significant buyers, utilizing the Rule of Reason approach. In contrast, the U.S. evaluates public detriment by balancing fairness and competitive benefits, whereas the EU focuses on market dominance and its potential to reduce competition. Despite these variations, all three jurisdictions share a common objective of enhancing consumer welfare and promoting competitive market conditions, with specific regard to differing regulations on online sales restrictions.
Regulation and Application of the Doctrine of Res Ipsa Loquitur in the Settlement of Consumer Disputes in Indonesia
Authors: Suryamah Aam , Yuanitasari Deviana , Angela Irene Maria , Assalihee Muhammadafeefee
Published: January 2025

Consumer disputes may be resolved by non-litigation or litigation, with the latter being reserved for extreme cases. Companies are obligated to pay customers' compensation claims. The parties to a dispute should not be unfairly treated when the burden of evidence is not evenly distributed. In order to avoid an unfair burden of evidence mistakes that hurt other parties, the burden of proof has to be examined case by case. Law No. 8 of 1999 on Consumer Protection specifies the burden of evidence in Article 28. When it comes to enforcing the law in Indonesia, doctrines are accepted sources of law from outside the country. An interesting topic for debate is the regulation and use of the res ipsa loquitur doctrine in consumer dispute resolution in Indonesia. This method has a normative legal bent. The Consumer Protection Law does not explicitly govern the res ipsa loquitur notion, even though it is acknowledged in Indonesian consumer dispute settlement. Applying res ipsa loquitur to consumer disputes may help ensure fairness, which is in line with the Consumer Protection Law's established reverse burden of proof.
Effects of tryptophan-selective lipidated glucagon-like peptide 1 (GLP-1) peptides on the GLP-1 receptor
Authors: Lu Xuejing , Harada Norio , Yasuda Takuma , Ikeguchi-Ogura Eri , Kobayashi Daishiro , Denda Masaya , Seno Yohei , Yamane Shunsuke , Yabe Daisuke , Otaka Akira , Inagaki Nobuya
Published: January 2025

Glucagon-like peptide 1 (GLP-1) receptor agonists (GLP-1 RAs) are widely used as antidiabetic and anti-obesity agents. Although conventional GLP-1 RAs, such as liraglutide and semaglutide, are acylated with fatty acids to delay their degradation by dipeptidyl peptidase-4, the manufacturing process is challenging. We previously developed selectively lipidated GLP-1 peptides at their only tryptophan residue (peptide A having one 8-amino-3,6-dioxaoctanoic acid (miniPEG) linker and peptide B having three miniPEG linkers). In this study, we evaluated their effects on the GLP-1 receptor in vitro and in vivo. Both novel peptides were shown to increase cyclic adenosine monophosphate production and insulin secretion similarly to that by GLP-1(7–37) and liraglutide in vitro. In addition, these novel peptides lowered blood glucose levels by increasing insulin levels after oral administration of glucose and they suppressed gastrointestinal motility as effectively as liraglutide. The effects of peptide A on activation of satiety-promoting neurons in the arcuate nucleus and the consequent suppression of food intake and body weight were also similar to those of liraglutide, while the effects of peptide B were less than those of liraglutide. Under high-fat diet feeding, both long-term administration of peptide A and peptide B improved glucose tolerance and insulin sensitivity similarly to liraglutide. Thus, tryptophan-selective lipidated GLP-1 peptides are as effective as conventional GLP-1 RAs in reducing plasma glucose levels and body weight and may represent a less demanding method of manufacture of GLP-1 RAs.
La especialización temprana en el deporte: es necesario cambiar el paradigma de atleta-máquina
Authors: Rodríguez Sebastián , Rodríguez-Jaime María Fernanda
Published: January 2025

Introduction: Early specialization in sports is a highly controversial and debated topic throughout history, it involves designating an individual to a particular sport discipline prematurely or in an anticipatory manner, typically occurring at very young ages. Objective: To question the practice of early specialization in children, both boys and girls, through the development of arguments and reflections. Development: Rather than benefiting athletes, this practice favors external agents with private monetary interests. Although at first glance, it may seem harmless or even beneficial, it is not truly what it appears to be. Multiple negative aspects have been evidenced, which can jeopardize the integrity of children, causing physical and psychological issues, violating their rights, and leading to early abandonment and distancing from exercise and sports. Conclusions: Coaches and physical educators should emphasize aspects of the mind, understand athletes’ perceptions and sensations, respect their preferences and tastes, and avoid manipulation and persuasion. Therefore, young people should be allowed to explore multiple sports disciplines, thereby fostering sports as a space for learning and social development rather than mere competition.