bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning about the liveability of cities from young migrants using the combinatorial-Hodge-theory approach
Authors: Aoki Takaaki , Nagamachi Kohei , Shimane Tetsuya 
Published: December 2024

Abstract

Migration is a major decision to leave one place and move to another, involving career and life changes. Migration flows provide people's comparisons across places about which is better to live by ''vote with their feet'' (Tiebout, 1956). However, is it possible to derive a consistent measure of the liveability of cities from these flows? We propose a combinatorial-Hodge-theory approach: the empirical liveability of cities is evaluated by a potential governing unbalanced, acyclic migrations between cities. As a case study, we measure the liveability of municipalities in Japan for specific populations such as families with small children and women of reproductive age in a population-decline society. Using these potentials as dependent variables, we perform a regression analysis to identify the factors relevant to liveability. We also derive analytical expressions that allow us to interpret as potentials the standards of living or utilities, estimated in the economics literature (Douglas & Wall, 1993; Douglas, 1997; Douglas & Wall, 2000; Wall, 2001; Nakajima & Tabuchi, 2011). The proposed method extracts a consistent metric of interval scale from the non-transitive, pairwise comparison between locations and provides substantial statistics for urban planning by policymakers.
Molecular phylogeny and taxonomy of five Ethmia (Hübner, 1819) morfo-species from Türkiye
Authors: Kızıldağ Sibel 
Published: December 2024

The genus Ethmia (Hübner, 1819) is a medium-sized moth with a global distribution that includes species and species groups with controversial systematics in terms of morphology. In modern systematic studies, determining species boundaries is an important step in revealing biodiversity. DNA barcoding allows testing species boundaries and phylogenetic relationships of controversial morpho-species. The mitochondrial cytochrome c oxidase subunit I (COI) gene used as a DNA barcode is a universal marker used for species identification and delimitation in the animal kingdom. In this study, the COI genes of Ethmia amasina, Ethmia hakkarica, Ethmia caradjae, Ethmia similis and Ethmia tripunctella species from Türkiye, documented morphologically and recorded in the CESA collection, were sequenced for the first time. Genetic distances between close congeners were determined using the Kimura 2-parameter (K2P) model using the barcodes of five Ethmia species. Bayesian inference (BI) and Maximum Likelihood (ML) algorithms were used to reveal the phylogenetic relationships among the members of the genus. According to the genetic distance analysis results, Ethmia caradjae, E. similis, E. tripunctella and E. amasina are distinct taxa with strong species boundaries (>0.02). However, no significant genetic distance (0.01) was detected between Ethmia amasina and Ethmia hakkarica populations. According to the results of phylogenetic analysis, in the clade where the presented species are located, Ethmia caradjae and E. bipunctella are sister and form a clade by branching to these species, respectively, E. similis and E. similis. A clade formed by sister positions of E. amasina and E. hakkarica was connected to this clade, and E. tripunctella was closely related to these species. In addition, while the branch lengths of Ethmia caradjae, E. similis, E. tripunctella and E. amasina were at the species level, it was determined that although a lineage split was seen in the E. amasina and E. hakkarica distinction, it was not at the species level. Therefore, Ethmia hakkarica is a synonym of E. amasina according to the priority rule
Species composition and seasonal density of major mosquito vectors in relation to physicochemical and meteorological factors of the breeding habitats: a sign for mosquito-borne diseases in Niger, Nigeria
Authors: Kura Ibrahim Shehu , Salim Hasber , Babale Shitta Kefas , Abdulazeez Adeniyi Kamoru , Yakudima Ismaila Ibrahim , Kabir Buda Mohammed , Abuh Hyelamada Aminuwa , Olayemi Israel Kayode 
Published: December 2024

Within disease-endemic regions in Nigeria, specifically Niger State, mosquito-borne diseases lead to extensive morbidity and mortality. Species composition and seasonal density are vital in determining the prevalence of adult mosquitoes and associated diseases, hence, the existence of mosquito species. From May 2019 to March 2020, mosquito species were assessed. An experimental field closed-cage study was employed, and mosquitoes were sampled every two weeks by agitation and subjected to microscopy. A total of seven species of mosquitoes belonging to three genera (Aedes, Anopheles, and Culex) were collected. These include Aedes aegypti, Ae. dorsalis, Anopheles gambiae, An. coustani, Culex quinquefasciatus, Cx. nigripalpus and Cx. salinarius. Mosquito density in large water bodies was significantly higher followed by the gutters and Swamps. Bosso demonstrated the highest species variation, followed by Katcha, Shiroro and the least was Lapai. The highest means density of mosquitoes was observed in August while the lowest was recorded in November. The overall peak density of adult mosquitoes was recorded in the rainy season and lower in the dry season. Mosquito density was correlated with temperature, dissolved oxygen, chlorine, potassium, alkalinity, biochemical oxygen demand, conductivity, and pH. A positive correlation was found between mosquito density with rainfall and relative humidity. Only Anopheles in large water habitat was significant), indicating a positive influence of these habitats on mosquitoes. Mosquitoes vary across habitats and correlated positively with certain physical and chemical characteristics in different habitats. Manipulation of these parameters is essential to minimize mosquito diseases
Impact of sprouted wheat grain flakes on the quality characteristics of dough and bread made from wheat flour
Authors: Oliinyk Svitlana , Samokhvalova Olga , Bilash Bohdan , Bolkhovitina Olena 
Published: December 2024

Bread is an essential food in many countries of the world, so it is important to increase its nutritional value. For this purpose, products of processing of plant raw materials with a high content of useful substances are effectively used. An important stage in the development of the technology of such products is the study of the influence of enriching raw materials on the formation of bread quality. This article presents the results of a study of the course of microbiological processes of dough ripening, changes in its structural and mechanical properties, organoleptic and physicochemical indicators of the quality of baked bread with the addition of sprouted wheat grain flakes.
It was found that in dough with sprouted wheat grain flakes (10…20 % instead of wheat flour) the indicators of titrate acidity and the amount of released carbon dioxide are 7.0…17.0 % and 9.0…26.4 % higher than in the control sample, which indicates the intensification of lactic acid and alcoholic fermentation. This is explained by the activation of fermentation microflora due to the increase in the amount of mono- and disaccharides, amino acids, vitamins, and minerals present in sprouted wheat grain flakes in the dough.
A 9.0…26.4 % higher indicator of dough spreading with flakes indicates a weakening of the dough structure, which is associated with their high enzymatic activity, which causes more intensive hydrolysis of gluten and starch in wheat flour.
To obtain bread with high organoleptic and physicochemical properties, it is advisable to use no more than 15 % of sprouted wheat grain flakes. The use of flakes will allow creating a bread technology that can be recommended for the nutrition of people living in extreme conditions
Evaluation of the chitin-glucan-melanin complex from fomes fomentarius for stopping bleeding and providing first aid for laceration and burns in combat conditions
Authors: Seniuk Olga , Kurochko Natalia , Cuzminski Zinovyi , Tyshko Ruslan 
Published: December 2024

A fine-fiber composite material based on chitin-glucan-melanin complex (ChGMC) from the fungus Fomes fomentarius (Ordinarius tin, Basidiomycetes family) is not inferior to the best samples of surgical cotton in terms of hygroscopicity and surpasses it in its ability to rapidly stop bleeding and numb wounds. This material quickly stops bleeding from large vessels, does not penetrate into the tissues from the surface of the wound, and over time is displaced from it thanks to the stimulation of cell regeneration, accelerates the recovery of damaged tissues and reduces the mass of scar tissue. The synergistic effect of chitin/chitosan, beta-glucans and melanin disinfects purulent wounds – neutralizes various bacteria, pathogenic micromycetes and wound viruses in the wound. The aseptic mechanism of action of ChGMC is not toxic for the cells of the host organism and at the same time is directed at the binding of toxic products. ChGMC is not inferior to the best samples of surgical cotton in terms of hygroscopicity and surpasses it in its ability to rapidly stop bleeding and numb wounds. Over time, ChGMC is displaced from the wound, accelerates the recovery of damaged tissues, reduces the mass of scar tissue, and almost halves the duration of treatment. ChGMC showed its high efficiency in the treatment of infected surgical and burn wounds, as well as trophic ulcers. The thin fiber structure of the product and a huge specific surface area (more than 1000 m2/g of material) make it possible to create materials for covering deep wounds, powder-like products for covering damaged skin, foam-like napkins for closing the wound surface, and others
Evaluation of feed intake, growth performance, and carcass characteristics of West African dwarf rams fed mango leaves, Napier grass, Neem Seed Cake, and concentrate for fattening
Authors: Oluwadele Joshua Femi , Tawose Olayinka Miriam , Adetumbi Tella 
Published: December 2024

This study assessed the growth performance, feed intake, carcass, and non-carcass characteristics of West African Dwarf (WAD) rams fed diets containing mango leaves (ML), neem seed cake (NSC), Napier grass (NG), and concentrate over 92 days. The research aimed to address the problem of forage scarcity and rising feed costs in tropical regions by evaluating the potential of ML and NSC as alternative feed resources. Forty rams were randomly assigned to four dietary treatments, each with ten replicates, and monitored for feed intake, weight gain, and carcass parameters.
The results demonstrated that diets containing ML and NSC (Diets B and D) significantly improved growth and carcass characteristics. Diet B recorded the highest hot carcass weight (6.01 kg), while Diet D showed superior organ weights, including liver and kidney. Average feed intake ranged from 10.67 kg (Diet C) to 11.13 kg (Diet A), with notable differences in slaughter weights and carcass yields. ML and NSC diets provided superior nutrient profiles, with crude protein content of 18.4 % and 23.88 %, respectively, contributing to improved productivity.
The findings indicate that ML and NSC can serve as sustainable, cost-effective alternatives to traditional feeds, addressing the challenges of feed scarcity and high costs. These results are particularly applicable for smallholder farmers in tropical regions, offering a practical approach to enhancing sheep production and food security. Future research should focus on determining optimal inclusion rates and evaluating the economic feasibility of these feed resources
Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study
Authors: Kuo Nai-Yu , Tsai Hsin-Jung , Tsai Shih-Jen , Yang Albert C 
Published: December 2024

Background
Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by frequent pauses or shallow breathing during sleep. Polysomnography, the gold standard for OSA assessment, is time consuming and labor intensive, thus limiting diagnostic efficiency.

Objective
This study aims to develop 2 sequential machine learning models to efficiently screen and differentiate OSA.

Methods
We used 2 datasets comprising 8444 cases from the Sleep Heart Health Study (SHHS) and 1229 cases from Taipei Veterans General Hospital (TVGH). The Questionnaire Model (Model-Questionnaire) was designed to distinguish OSA from primary insomnia using demographic information and Pittsburgh Sleep Quality Index questionnaires, while the Saturation Model (Model-Saturation) categorized OSA severity based on multiple blood oxygen saturation parameters. The performance of the sequential machine learning models in screening and assessing the severity of OSA was evaluated using an independent test set derived from TVGH.

Results
The Model-Questionnaire achieved an F1-score of 0.86, incorporating demographic data and the Pittsburgh Sleep Quality Index. Model-Saturation training by the SHHS dataset displayed an F1-score of 0.82 when using the power spectrum of blood oxygen saturation signals and reached the highest F1-score of 0.85 when considering all saturation-related parameters. Model-saturation training by the TVGH dataset displayed an F1-score of 0.82. The independent test set showed stable results for Model-Questionnaire and Model-Saturation training by the TVGH dataset, but with a slightly decreased F1-score (0.78) in Model-Saturation training by the SHHS dataset. Despite reduced model accuracy across different datasets, precision remained at 0.89 for screening moderate to severe OSA.

Conclusions
Although a composite model using multiple saturation parameters exhibits higher accuracy, optimizing this model by identifying key factors is essential. Both models demonstrated adequate at-home screening capabilities for sleep disorders, particularly for patients unsuitable for in-laboratory sleep studies.
Self-Management Support Apps for Spinal Cord Injury: Results of a Systematic Search in App Stores and Mobile App Rating Scale Evaluation
Authors: Bernard Renaldo M , Seijas Vanessa , Davis Micheal , Volkova Anel , Diviani Nicola , Lüscher Janina , Sabariego Carla 
Published: December 2024

Background
The use of mobile technology to meet health needs, widely referred to as mobile health (mHealth), has played a critical role in providing self-management support for chronic health conditions. However, despite its potential benefits, mHealth technologies such as self-management support apps for spinal cord injury (SCI) have received little research attention, and an understanding of their public availability is lacking. Therefore, an overview of these apps is needed to complement findings from the literature for a complete understanding of mHealth self-management support tools for SCI to support the selection and improvement of existing apps and the development of new ones.

Objective
This study aimed to identify and describe quantity, quality, focus, strengths, and weaknesses of self-management support apps for SCI available on major mobile app digital distribution platforms.

Methods
A systematic search of the Google Play Store and Apple App Store was conducted to identify and summarize apps for SCI that have been updated since 2017. A supplementary systematic literature review was conducted across 11 bibliographic databases to identify publications that provided more detailed descriptions of the identified apps than what is typically available in app stores. The data synthesis was guided by self-management tasks and skills taxonomies. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines informed the reporting.

Results
The 13 apps included in the final synthesis were launched between 2013 and 2021, mostly originating in the United States, with availability in 72 countries and support for 14 languages. Most apps used the Android operating system (10/13, 77%), while 31% (4/13) used iOS. The identified apps mainly focused on activities of daily living, physical activity promotion, health literacy, and therapeutic exercise. All 3 self-management tasks (medical, role, and emotional management) and most self-management skills and support activities were supported by the apps. The mean Mobile App Rating Scale score was 3.86 (SD 0.54), indicating good overall quality. No publications were found describing these apps.

Conclusions
Despite their good overall quality, as measured by the Mobile App Rating Scale assessment, the 13 identified apps, alone or combined, do not appear to offer a comprehensive self-management approach that incorporates theory-based strategies. Besides working to improve comprehensiveness, future research and practice should consider adopting new technologies, such as artificial intelligence, to enhance future self-management support apps for SCI. Furthermore, adopting new app development methods, such as low-code development platforms, could help reduce barriers to development, such as time, cost, and securing scarce expertise.
Prehabilitation Exercise Training to Target Improved Muscle Strength in Pretransplant Patients Diagnosed With Multiple Myeloma: Protocol for a Pilot Randomized Controlled Trial
Authors: Normann Amber J , Mo Clifton C , Wilson Rebekah L , Perez Michelle , Cutler Corey , Uno Hajime , Thompson LaDora V , Skinner Tina L , Richardson Paul G , Marinac Catherine R , Dieli-Conwright Christina M 
Published: December 2024

Background
Muscle mass and strength are severely compromised in patients diagnosed with multiple myeloma, such that the risk of poor overall survival increases as the prevalence of low muscle mass, also known as sarcopenia, increases. Additionally, at the time of autologous stem cell transplant (ASCT), 51% of patients experience low muscle mass and strength, which can prolong hospitalization and lead to increased risk of obesity, insulin resistance, lowered physical function, and poor quality of life.

Objective
The PROTECT (Prehabilitation Exercise Training in Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplantation) trial will examine the preliminary effects of digitally supervised prehabilitative aerobic and resistance exercise on muscle strength in patients with multiple myeloma scheduled for ASCT.

Methods
This prospective, 2-armed single-center randomized controlled trial will recruit 30 patients with multiple myeloma, aged 18 years and older, planning to receive ASCT. Individuals will be assigned to either the exercise or the waitlist control group. The 8-week exercise intervention is home-based and digitally supervised by a clinical exercise trainer. The frequency of the exercise intervention is 3 times per week consisting of aerobic exercise on a cycle ergometer and resistance exercises, which are individually tailored based on patient health status. The waitlist control group maintains normal daily activities of living and is offered the intervention within 6 months from ASCT. The primary outcome is lower limb muscle strength, measured using the 10-repetition maximum leg press or extensor strength. Additional outcomes include physical and cardiorespiratory function, patient-reported outcomes, cardiometabolic health outcomes, and clinical outcomes.

Results
The trial was funded in the fall of 2022 and recruitment began in June 2023. As of August 2024, a total of 3 participants have consented and been randomized (n=1, exercise group; n=2, waitlist control group). Trial completion and start of data analysis is expected in July 2025 with expected results to be published in early winter of 2026.

Conclusions
We expect exercise to improve lower limb muscle strength and overall health outcomes compared to the waitlist control group. Results will contribute foundational knowledge needed to conduct larger-phase clinical trials testing the clinical benefits of prehabilitation exercise in this patient population. This study will provide insight into a prehabilitative exercise intervention designed to support patient prognosis.

Trial Registration
ClinicalTrials.gov NCT05706766; https://clinicaltrials.gov/study/NCT05706766

International Registered Report Identifier (IRRID)
DERR1-10.2196/64905
Gestão e mídia do conhecimento: Educação em rede e os desafios da IAG na escrita acadêmica
Authors: Da Silva Reis Cristina , Vieira de Souza Márcio , De Matos Muller Felipe 
Published: December 2024

O objetivo deste artigo foi analisar as transformações da educação que ocorreram no contexto do avanço das Tecnologias da Informação e da Comunicação (TIC) e mais recentemente com o surgimento da Inteligência Artificial Generativa (IAG) e o seu impacto no processo de ensino e aprendizagem, assim como para a personalização do ensino. Discute e faz uma análise sobre a gestão das mídias do conhecimento e a integração das TICs na educação, onde também é analisado o uso da IAG na escrita acadêmica e os efeitos da pandemia e da pós pandemia na educação. Não se pode negar que a pandemia acelerou esse processo, destacando a importância da educação a distância e do conceito de educação em rede. Reconhece a importância das ferramentas de análise de redes sociais (ARS) e do surgimento da IAG. As considerações finais apontam que as TICs oferecem oportunidades para inovar na educação, e que essa inovação tenha a intencionalidade de uma educação em rede democrática que é fundamental que sejam acompanhadas de uma reflexão crítica, principalmente no que diz respeito a questões éticas, havendo a constatação da necessidade de investimento na inclusão digital e na formação dos profissionais da educação. O uso da Inteligência Artificial Generativa (IAG) em ambientes educacionais está transformando métodos de ensino e avaliação. Ferramentas de IAG apresentam potencial para personalizar o aprendizado e oferecer feedback imediato, mas também desafiam os sistemas tradicionais de avaliação e levantam preocupações sobre a autoria e a integridade acadêmica.
A REFORMA CURRICULAR DO ENSINO MÉDIO NA AMAZÔNIA PARAENSE: MEDIAÇÕES E RETROCESSOS NA POLÍTICA CURRICULAR DO ESTADO DO PARÁ
Authors: Souza Keline do Socorro Rodrigues de , Alves João Paulo da Conceição , Ferreira José Mateus Rocha da Costa 
Published: December 2024

O presente estudo tem como objetivo traçar uma discussão sucinta sobre as propostas empreendidas pelo projeto neoliberal nas reformas educacionais voltadas para o ensino médio. A partir da reflexão de que a Base Nacional Comum Curricular (BNCC) e a Matriz Curricular do Estado do Pará (DCEPA) são instrumentos que foram desenhados para responder às necessidades do capital, argumenta-se que essas propostas não atendem às necessidades dos estudantes, já que subtraem o acesso ao conhecimento científico, negam as minorias sociais e ignoram a interculturalidade brasileira. As discussões foram alicerçadas na abordagem qualitativa, materializada por meio de estudo bibliográfico e documental. Assim, buscou-se realizar uma discussão preliminar, considerando que este estudo faz parte da pesquisa de doutorado em andamento, sobre como os organismos multilaterais implementam as proposições defendidas pelo projeto neoliberal. Concluímos que negar as raízes econômicas e socioculturais da Amazônia paraense, como se observa na proposta da BNCC, no Novo Ensino Médio e na reprodução da Matriz Curricular do Estado do Pará é ir de encontro ao que preconiza a Constituição Federal de 1988, quando reconhece a interculturalidade pertencente à nossa história.