bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hip-Hop Infusion in Social Work Education
Authors: Dickens Devron , Gwynn Darius , Green Kahlil 
Published: June 2024

Background:2023 marks the 50th anniversary of hip-hop. Although hip-hop has existed for a half-century, little attention has been given to its infusion into social work education. This conceptual article explores the potential of hip-hop as a framework for social work education.Objective:We aim to demonstrate how core tenets of hip-hop can be aligned with the Council on Social Work Education’s Educational Policy and Accreditation Standards (EPAS) to enhance student learning, client connection, advocacy skills, and empathy.Methods:This conceptual piece draws on existing literature on hip-hop culture and social work education. We explored how various elements of hip hop can be integrated into social work education to achieve the learning objectives outlined in the EPAS.Implications:Integrating hip-hop principles into social work education can have a transformative impact. By fostering critical thinking, self-reflection, and engagement with diverse narratives, students will be better equipped to navigate the complexities of social work practice. Furthermore, a hip-hop-informed approach can cultivate a more culturally responsive lens for advocacy and policy development. This in turn empowers students to build rapport with clients from marginalized communities, utilizing effective communication to promote social change.Conclusion:Hip-hop offers a powerful set of tools for social work education. Integrating its principles can cultivate a new generation of social workers with the knowledge, skills, and cultural competency to address the complex challenges facing individuals, families, and communities.
Status of local knowledge and information literacy among The Minangkabau Community in Indonesia
Authors: Rahmah Elva , Mohamed Shuhidan Shamila , Wan Yahaya Wan Aida 
Published: June 2024

Background of the study: The topics of local knowledge and information literacy have tremendously been discussed in research on information literacy and local knowledge around the world, including in Indonesia. However, these aspects are still under-researched particularly when it comes to the issue of the status local knowledge and that is related to information literacy. Based on this main gap, this paper presents a study that examined local knowledge and information literacy, to specifically address the issue.
Purpose: To identify the status of local knowledge and information literacy among the Minangkabau Community in Agam district, Indonesia.
Method: A quantitative approach by using a survey was conducted involving 384 Minangkabau communities in Agam district, Indonesia selected using a random sampling technique
Findings: The findings reveal a significant value of 0.000 (p0.05), indicating that there is a substantial positive link between tacit and explicit knowledge and information literacy. Furthermore, the Pearson correlation coefficient value shows a value of 0.712 which is in the range of 0.60 – 0.799 so it is in a strong category. From the results, the analysis shows that the Minangkabau community has positive information literacy and the local knowledge processes variable can encourage activities of local knowledge in the community, special in Agam district, Indonesia.
Conclusion: Status of local knowledge cover combination of knowledge such as from tacit and explicit will support the Minangkabau community to sustain their local knowledge with accurate information seeking strategies
Information on medical records of covid-19 patients in Indonesia
Authors: Wenny Lili Sudria , Lolytasari  , Putra Riyan Adi , Merdeka Pita , Ahwan Muh. Ahlis , Afida Ana 
Published: June 2024

Background of the study: This research describes medical record management activities in two government hospitals in Indonesia, namely RSUD Tugurejo Semarang and RSUD Kota South Tangerang. This Hospital became history for the Indonesian people during the COVID-19 era and became a referral hospital for COVID-19 patients. Medical records, as written documents regarding the initial history of a patient's illness, can be trusted in the name of law and become archives with legal and historical value. Therefore, it is necessary to look at how the medical records of COVID-19 patients are recorded and utilized.
Purpose: Analyze the use of COVID-19 medical records as a source of health information data in hospitals.
Method: This research uses descriptive qualitative methods. Data sources come from observation, interviews, and documentation.
Findings: The research results found that medical records at General Hospitals in Indonesia are managed based on life cycle files, following the guidelines issued by the Regulation of the Minister of Health of the Republic of Indonesia Number 24 of 2022 concerning Medical Records.
Conclusion: The more organized a hospital's medical record archive is, the more information contained in the medical record will be visible to researchers.
Mapping the research landscape of recommender systems for digital libraries
Authors: Awal Gaganmeet Kaur , Tehlan Ujjwal 
Published: June 2024

Background of the study: In today’s information-rich environment, researchers face the difficulty of managing information overload and struggle to identify meaningful information among a plethora of choices. A recommender system plays a crucial role in assisting users in discovering relevant information from a digital library.
Purpose: This study aims to provide a bibliometric analysis of research publications on recommender systems for digital libraries.
Method: The research method involved the quantitative bibliometric approach to analyse the research publications from the Web of Science and Scopus databases using Biblioshiny. The dataset retrieved comprises 374 documents published between the period of 2004-2023.
Findings: The study's findings highlight that the number of publications was notably high in 2009 and 2018 within the analyzed period. The most significant contributors are Porcel C, Herrera-Viedma E, and Beel J. There is a considerable international collaboration between the countries- China, USA, and Germany.
Conclusions: This study indicates an emerging interest in recommender systems for digital libraries with the continuous evolution of new recommendation models. There is a huge potential for research considering the availability of multimodal data, the continuous evolution of new technologies such as deep learning, and opportunities for the development of an architecture for integrating different digital libraries.
KARAKTERISTIK NUGET IKAN KEMBUNG (Rastrelliger kanagurta L) BEBAS GLUTEN DENGAN PENAMBAHAN TEPUNG PATI UMBI GANYONG (Canna edulis Kerr.)
Authors: Mulia Air Ristya Wahyu , Pujiastuti Veronica Ima , Purnawijayanti Hiasinta Anatasia 
Published: June 2024

Children with autism spectrum disorder (ASD) are allergic to gluten products. Fish nuggets generally should not be consumed by children with autism because due to gluten (wheat flour) ingredients. This research developed gluten-free mackerel nuggets using ganyong flour as a filler. The study was to determine the effect of using ganyong flour on protein content, levels of omega-3 fatty acids, cooking loss, water holding capacity, sensory characteristics, and preference level for gluten-free mackerel fish nuggets. An experimental study with a completely randomized design (CRD) with three replications and four treatments. The addition of ganyong flour in mackerel nuggets was 0% (G0); 5% (G1); 10% (G2); 15% (G3); and 20%(G4). The best treatment was determined based on the result of the highest level of sensory preference. Mackerel nuggets with the addition of 10% canna flour as the best result, with characteristics are cooking loss (12%), water holding capacity (64.92%), protein content (14.05%), and omega-3 content (0.54%). The increase of ganyong flour (Canna edulis Kerr) affected the cooking loss, and sensory characteristics (p value <0,05). Mackerel fish nuggets and ganyong flour formulations can be categorized as gluten-free nuggets that can be consumed by children with ASD.
Authors: Setiawan Andreas , Sulistiyanto Sigit , Riyanto Cucun Alep , Wiguna Gede Arya 
Published: June 2024

Air pollution is the biggest environmental threat to global public health and accounts for an estimated million premature deaths each year. With each breath, humans can inhale a number of tiny particles that can damage the lungs, heart and brain and cause a multitude of health problems. While air pollution is a global problem, it does not proportionally affect the entire world. People living in developing countries have a greater impact due to poor environmental management. There is a lack of affordable and long-term operational air monitoring systems, leading to a lack of technological support to address this. Based on this urgency, this paper develops an air quality measurement system based on ENS160 and WEMOS D1 sensors integrated with the Internet of Things platform. At the end, a trial of the system that has been operated for approximately 4.5 months continuously is reported. The system successfully stores 200,000 data which is the accumulation of measurements every 1 minute. Furthermore, the error analysis of the measurement system is also shown, which is less than 1%. This shows the success of the system as a reliable and affordable air quality measurement system for the long term. With the discovery of the right measurement system formulation, it is expected to help manage and improve environmental health, especially against the effects of air pollution in Indonesia.
Efficient Commutative PQC Algorithms on Isogenies of Edwards Curves
Authors: Bessalov Anatoly , Sokolov Volodymyr , Abramov Sergey 
Published: June 2024

The article presents the author’s works in the field of modifications and modeling of the PQC CSIDH algorithm on non-cyclic supersingular Edwards curves and its predecessor CRS scheme on ordinary non-cyclic Edwards curves are reviewed. Lower estimates of the computational speed gains of the modified algorithms over the original ones are obtained. The most significant results were obtained by choosing classes of non-cyclic Edwards curves connected as quadratic twist pairs instead of cyclic complete Edwards curves, as well as the method of algorithm randomization as an alternative to “constant time CSIDH.” It is shown that in the CSIDH and CSIKE algorithms, there are two independent cryptosystems with the possibility of parallel computation, eliminating the threat of side-channel attacks. For the CRS scheme, there are four such cryptosystems. Integral lower bound estimates of the performance gain of the modified CSIDH algorithm are obtained at 1.5 ∙ 29, and for the CRS scheme are 3 ∙ 29.
Bose-Einstein condensation of a two-magnon bound state in a spin-one triangular lattice
Authors: Wu Liusuo , Sheng Jieming , Mei Jia-Wei , Wang Le , Jiang Wenrui , Xu Lei , Ge Han , Zhao Nan , Li Tiantian , Candini Andrea , Xi Bin , Zhao Jize , Fu Ying , Yang Jiong , Zhang Yuanzhu , Biasiol Giorgio , Wang Shanmin , Zhu Jinlong , Miao Ping , Tong Xin , Yu Dapeng , Mole Richard , Ma Long , Zhang Zhitao , Ouyang Zhongwen , Tong Wei , Podlesnyak Andrey , Wang Ling , Ye Feng , Yu Dehong , Wang Zhentao 
Published: June 2024

Abstract

Interactions of collective excitations often lead to rich emergent phenomena in manyparticle quantum systems. In ordered magnets, the elementary excitations are spin waves (magnons), which obey Bose-Einstein statistics. Similar to the Cooper pairs in superconductors, magnons can be paired into bound states under attractive interactions. Even more interestingly, the Zeeman coupling to a magnetic field acts as a chemical potential that can tune the particle density through a quantum critical point (QCP), beyond which a “hidden order” is predicted to exist. However, experimental confirmation of this QCP and the associated new state of matter remain elusive. Here we report direct observation of the Bose-Einstein condensation (BEC) of the two-magnon bound state in Na2BaNi(PO4)2. Comprehensive thermodynamic measurements confirmed the existence of a two-dimensional BEC-QCP at the saturation field. Inelastic neutron scattering experiments were performed to accurately establish the magnetic exchange model. An exact solution of the model found stable 2-magnon bound states that were further confirmed by an electron spin resonance (ESR) experiment, demonstrating that the QCP is due to the pair condensation and the phase below saturation field is the long-sought-after spin nematic (SN) phase.
Molecular and Histopathological study and first report of Lernaea cyprinacea infestation in Oncorhynchus mykiss in the Chaharmahal and Bakhtiari province
Authors: Momeni Hossein , Peyghan Rahim , Bashiri Masoumeh , Bahrami Somayeh 
Published: June 2024

Abstract

Many species of freshwater fish are known to be infested by the parasitic copepod Lernaea cyprinacea, which is not host-specific. Mass fish death may result from outbreaks of this ectoparasite infection. Ten dead fish were referred to the Aquatic Clinic to investigate the cause of mortality. After the initial examination and observation of the Lernaea on the skin, gills and oral cavity, symptoms such as increased mucus production, inflammation, redness and swelling at the attachment point were also observed. Lernaea were isolated from the external surface of fins, operculum and body surface of Oncorhynchus mykiss. The histopathological findings including ulceration, chronic inflammatory reaction, infiltration of inflammatory cells, degeneration and necrosis of the muscles and also head region of the parasite were detected. After performing morphological, histopathological and molecular examination, the Lernaea species was identified as L. cyprinacea. In the present study of L. cyprinacea was reported for the first time in the rainbow trout in Chaharmahal and Bakhtiyari province (Iran).
Brain clocks capture diversity and disparity in aging and dementia
Authors: Ibanez Agustin , Moguilner Sebastian , Baez Sandra , Hernandez Hernan , Migeot Joaquin , Legaz Agustina , Gonzalez-Gomez Raul , Farina Francesca , Prado Pavel , Cuadros Jhosmary , Tagliazucchi Enzo , Altschuler Florencia , Maito Marcelo , Godoy Maria , Cruzat Josephine , Valdes-Sosa Pedro , Lopera Francisco , Ochoa-Gómez John , Hernandez Alfredis Gonzalez , Bonilla-Santos Jasmin , Gonzalez-Montealegre Rodrigo A. , Anghinah Renato , Manfrinati Luís d'Almeida , Fittipaldi Sol , Medel Vicente , Olivares Daniela , Yener Görsev , Escudero Javier , Babiloni Claudio , Whelan Robert , Güntekin Bahar , Yırıkoğulları Harun , Santamaria-Garcia Hernando , Fernández Alberto , Huepe David , Caterina Gaetano Di , Soto-Añari Marcio , Birba Agustina , Sainz-Ballesteros Agustin , Coronel-Oliveros Carlos , Yigezu Amanuel , Herrera Eduar , Abasolo Daniel , Kilborn Kerry , Rubido Nicolás , Clark Ruaridh , Herzog Rubén , Yerlikaya Deniz , Hu Kun , Parra Mario , Reyes Pablo , García Adolfo , Matallana Diana , Avila-Funes José Alberto , Slachevsky Andrea , Behrens María , Custodio Nilton , Cardona Juan , Barttfeld Pablo , Brusco Ignacio , Bruno Martín , Ortiz Ana Sosa , Pina-Escudero Stefanie , Takada Leonel , Resende Elisa , Possin Katherine , de Oliveira Maira Okada , Lopez-Valdes Alejandro , Lawlor Brian , Robertson Ian , Kosik Kenneth , Duran-Aniotz Claudia , Valcour Victor , Yokoyama Jennifer , Miller Bruce 
Published: June 2024

Abstract

Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of multimodal diversity (geographical, socioeconomic, sociodemographic, sex, neurodegeneration) on the brain age gap (BAG) is unknown. Here, we analyzed datasets from 5,306 participants across 15 countries (7 Latin American countries -LAC, 8 non-LAC). Based on higher-order interactions in brain signals, we developed a BAG deep learning architecture for functional magnetic resonance imaging (fMRI=2,953) and electroencephalography (EEG=2,353). The datasets comprised healthy controls, and individuals with mild cognitive impairment, Alzheimer’s disease, and behavioral variant frontotemporal dementia. LAC models evidenced older brain ages (fMRI: MDE=5.60, RMSE=11.91; EEG: MDE=5.34, RMSE=9.82) compared to non-LAC, associated with frontoposterior networks. Structural socioeconomic inequality and other disparity-related factors (pollution, health disparities) were influential predictors of increased brain age gaps, especially in LAC (R²=0.37, F²=0.59, RMSE=6.9). A gradient of increasing BAG from controls to mild cognitive impairment to Alzheimer’s disease was found. In LAC, we observed larger BAGs in females in control and Alzheimer’s disease groups compared to respective males. Results were not explained by variations in signal quality, demographics, or acquisition methods. Findings provide a quantitative framework capturing the multimodal diversity of accelerated brain aging.
Dorsiflexion Specific Ankle Robotics to Enhance Motor Learning After Stroke: A Preliminary Report
Authors: Roy Anindo , Hennessie Bradley , Hafer-Macko Charlene , Westlake Kelly , Macko Richard 
Published: June 2024

Abstract

Background
Robotics has emerged as a promising avenue for gait retraining of persons with chronic hemiparetic gait and footdrop, yet there is a gap regarding the biomechanical adaptations that occur with locomotor learning. We developed an ankle exoskeleton (AMBLE) enabling dorsiflexion assist-as-needed across gait cycle sub-events to train and study the biomechanics of motor learning stroke. This single-armed, non-controlled study investigates effects of nine hours (9 weeks x 2 sessions/week) locomotor task-specific ankle robotics training on gait biomechanics and functional mobility in persons with chronic hemiparetic gait and foot drop. Subjects include N = 16 participants (8 male, 8 female) age 53 ± 12 years with mean 11 ± 8 years since stroke. All baseline and post-training outcomes including optical motion capture for 3-D gait biomechanics are conducted during unassisted (no robot) over-ground walking conditions.
Findings:
Robotics training with AMBLE produced significant kinematic improvements in ankle peak dorsiflexion angular velocity (°/s, + 44 [49%], p < 0.05), heel-first foot strikes (%steps, + 14 [15%], p < 0.01) toe-off angle (°, + 83[162%], p < 0.05), and paretic knee flexion (°, + 20 [30%], p < 0.05). Improvements in gait temporal-spatial parameters include increased paretic step length (cm, + 12 [20%], p < 0.05), reduced paretic swing duration (%GC, -3[6%], p < 0.05), and trend toward improved step length symmetry (-16 [11%], p = 0.08). Functional improvements include 10-meter comfortable (m/s, + 13 [16%], p < 0.01) and fastest (m/s, + 13 [15%], p < 0.01) walking velocities, 6-minute timed walk distance (m, + 16 [19%], p < 0.01) and Dynamic Gait Index scores (+ 15 [15%], p < 0.01). Subjects’ perceived improvements surpassed the minimal clinically important difference on the Stroke Impact Scale (SIS) mobility subscale (+ 11 [19%], p < 0.05).
Conclusions
AMBLE training improves paretic ankle neuromotor control, paretic knee flexion, and gait temporal-distance parameters during unassisted over-ground walking in persons with chronic stroke and foot drop. This locomotor learning indexed by an increase in volitional autonomous (non-robotic) control of paretic ankle across training translated to improvements in functional mobility outcomes. Larger randomized clinical trials are needed to investigate the effectiveness of task-specific ankle robotics, and precise training characteristics to durably improve gait, balance, and home and community-based functional mobility for persons with hemiparetic gait and foot drop.
Clinical trial identifier:
NCT04594837.
Mediastinal and Thoracic Hematoma Following Transradial Cerebral Angiography: a Case Report
Authors: Tu Jiashan , Qiu Wei 
Published: June 2024

Abstract

Background Cerebral angiography through the transradial approach (TRA) is associated with a low risk of complications, but in rare cases, these complications can be life-threatening.
Case presentation A 56-year-old female patient was admitted for transradial cerebral angiography due to the complaint of weakness of the right limbs. During the procedure, the patient coughed, spitted, and complained of throat discomfort, palpitations, and pains in the right shoulder and back. Emergency CT scan indicated hematoma in the middle mediastinum and the right thoracic cavity, and perforation of a branch of the subclavian artery was highly suspected. Subclavian artery angiography was conducted immediately, which revealed a patchy contrast medium overflow in a branch of the right costocervical trunk. Selective endovascular occlusion therapy was performed successfully with gelfoam particles and placement of 2 microcoils. At 12 days after cerebral angiography, the patient recovered well and was discharged from the hospital.
Conclusion Mediastinal and thoracic hematoma may occur due to vessel perforation during TRA cerebral angiography, in which guidewire advancement must be cautious. Early detection and appropriate countermeasures can reduce the severity of vascular perforation and subsequent hematoma.
Impact of the traffic on a population of European pond turtles (Emys orbicularis) inhabiting heavily urbanized area at the city of Burgas
Authors: Natchev Nikolay , Telenchev Ivan , Nedyalkov Nikolay , Kolev Nikolay , Tsvetkov Radoslav , Marinova Pavlina , Koynova Teodora 
Published: June 2024

Abstract

We report on the impact of vehicle traffic on a local population of European pond turtles (Emys orbicularis) inhabiting the city of Burgas (Bulgaria). We performed a six-year monitoring program to collect data on the presence of turtles on road E 87 in the south region of the city. The road section splits a Natura 2000 site and crosses through an artificial water basin with fresh to brackish water. We visited the road section in irregular intervals from 3 to over 20 days in the period March to October from 2016 to 2021. For the period of the monitoring, we were able to detect a total of over 300 specimens from all ontogenetic stages (33 juveniles, 74 subadults and 224 adults). During our field surveys in 2016, we detected a total of 47 live and 23 dead adults. In the next years, we found more dead adult turtles than live ones. Similar results were recorded for subadults. In the juveniles, the dead specimens were almost equal to those which were detected alive. Our results indicate an impact of the traffic on the local population of E. orbicularis. We discuss the design and position of constructions, which can mitigate the conflict and reduce the potential for WVC.
Long COVID: Deep single-cell immunophenotyping and machine learning reveal a general signature for fatigue.
Authors: Sommen Silke , Segtnan Sunniva , Selvakumar Joel , Havdal Lise Beier , Stiansen-Sonerud Tonje , Gjerstad Johannes , Mjaaland Siri , Nygaard Unni , Wyller Vegard , Mukherjee Ratnadeep , Berven Lise Lund 
Published: June 2024

Abstract

The post COVID-19 condition, commonly referred to as “Long COVID” (LC), is a constellation of long-lasting and debilitating symptoms following acute SARS-CoV-2 infection, which closely resembles other post-infective fatigue states. The underlying immunological disturbances of LC are poorly understood. The present study included 12 to 25-year-olds with and without mild SARS-CoV-2 infection, who were prospectively followed for six months after infection and assessed according to the WHO definition of post COVID-19 condition, resulting in four groups (“Long COVID” (LC), recovered convalescents (RC), fatigued controls (FC), healthy controls (HC)). Mass cytometry was used to profile peripheral blood mononuclear cells. We found higher frequencies of Terminal NK cells and Double Negative B cells, and higher CD4 + T cell activation and exhaustion in the two groups characterized by persistent fatigue (LC, FC), while no specific immune abnormality pertaining only to LC. This points to a shared underlying pathophysiology in LC and other forms of fatigue.