bluuebunny/crossref_metadata_2025_split huggingface dataset:
El español en contacto con lenguas bantúes y el francés: nuevos datos acerca de la estructura «verbo de movimiento + a / en + destino» en el español de Guinea Ecuatorial
Authors: Carreira Sara 
Published: February 2025

In this study, new findings are presented regarding the use of the locative prepositions a and en with verbs of movement in the Spanish spoken in Equatorial Guinea. The research is based on data retrieved from both written and oral sources and collected in the country at the beginning of the year 2022. The results highlight the need to take into account the contact between Spanish and various Bantu languages, as well as French, along with the sociodemographic characteristics of the inhabitants of the different parts of the country.
En el presente estudio, se aportan nuevos datos sobre el empleo de las preposiciones locativas a y en con verbos que describen desplazamiento en el español de Guinea Ecuatorial. Este trabajo se fundamenta en datos variados, tanto escritos como orales, recopilados en el país a comienzo del año 2022. Los resultados subrayan la importancia de considerar el contacto que se produce entre el español y diversas lenguas bantúes, así como el francés, junto con las propiedades sociodemográficas de los habitantes de las diferentes partes del país en el estudio de la estructura «verbo de movimiento + a / en + destino» en Guinea Ecuatorial.
Embracing Metaverse towards Sustainable Tourism in Oman
Authors: Al-Azri Abdullah Khalfan , Jetti Edukondala Rao , Ramachandran Nithya 
Published: February 2025

The metaverse, a digital environment linking augmented and virtual reality technologies, is an evolving tool for transformation across industries. This conceptual paper explores the potential of a metaverse in revolutionizing Oman’s tourism landscape. Leveraging metaverse in tourism sector can help Oman in achieving its sustainable development goals. This paper discusses the role of a metaverse in designing inclusive and innovative tourism experiences while addressing the challenges of resource management, cultural conservation, and over-tourism. This paper is developed by reviewing a wealth of relevant literature to explore the implications of metaverse on sustainable tourism in Oman. It is an attempt to make Oman’s rich heritage, culture and natural beauty accessible to global travellers and strengthen Oman’s potential to market its tourism attractions to global tourists. The paper proposes suggestions to policy makers on the strategic initiatives with regard to integrating metaverse-driven solutions in Oman’s tourism industry for achieving the goals of social and economic sustainability aligned with its Vision 2040.
Inteligencia Artificial frente al Derecho de Autor, regulación y retos
Authors: Bravo Delgado María Daniela , Espinoza Suarez Javier Andrés 
Published: February 2025

Dentro del presente artículo se contemplan los desafíos legales e informáticos asociados con la aplicación de la Inteligencia Artificial en la gestión y protección de los Derechos de Autor, teniendo en cuenta el estudio de la titularidad de las obras, la originalidad objetiva y subjetiva, y los tipos de Inteligencia Artificial refriéndonos a la aplicación de la IA fuerte y débil. El método que se utilizó para dicha investigación fue método analítico crítico, aplicado en el Derecho con la finalidad de realizar una búsqueda de interpretaciones alternativas y críticas referentes al tema. El resultado de investigar y comparar las regulaciones legales en diferentes jurisdicciones con respecto al uso de Inteligencia Artificial en la creación, distribución y protección del Derecho de Autor han permitido identificar y analizar los desafíos éticos, legales y tecnológicos emergentes asociados con la aplicación de la Inteligencia Artificial en la gestión y protección de los Derechos De Autor. Concluyendo encontrar un equilibrio que proteja los Derechos de las obras por parte de los creadores resulta imprescindible para quienes aportan con originalidad la idea de llevar a cabo una obra.
Effectiveness of a Public Health Campaign in Raising Awareness of Balanced Nutrition in Primary School Children
Authors: Resty Noflidaputri  , Wijianto  , Kalasta Ayunda Putri  , Dika Betaditya  , Wahyu Vera Wardani  
Published: February 2025

This study used a quantitative approach with a quasi-experimental research design to measure the effectiveness of a public health campaign in improving balanced nutrition awareness in primary school children. Data were collected through pre-test and post-test using a structured questionnaire that had been tested for validity and reliability. The results of the analysis showed a significant increase in the average score of students' knowledge from 65.20 7.80 before the intervention to 88.60 5.20 after the health campaign (p=0.001), as well as students' awareness which increased from 60.30 6.70 to 85.50. This study provides empirical evidence that well-designed nutrition education can be a solution to address nutritional problems in children, such as malnutrition and obesity, thereby supporting the creation of healthier and more productive generation in the future.
MODIFY QUECHER’S EXTRACTION METHOD FOR THE DETERMINATION OF ORGANOPHOSPHATE PESTICIDE RESIDUES IN FISH SAMPLES COLLECTED FROM WURBO AND YELWA LAKES OF BALI, TARABA STATE, NIGERIA
Authors: HARUNA IBRAHIM  , SAAD SABRI ABDUL  , ADAMU BABA MOHAMMED  
Published: February 2025

Organophosphate pesticides (OPPs) have been used worldwide, particularly in many African countries especially in Nigeria for the control of pests and weeds for agricultural purposes. Despite the positive outcomes of using pesticides in agriculture, their usage often results in various harmful environmental and health effects on water systems and aquatic organisms. Pesticides, due to their toxicity and impact on biological components, can be termed as biocides—that is, compounds capable of harming all forms of living organisms, including their intended targets. This research was aimed at determining the residual levels of organophosphates pesticides residues in fish species from Wurbo and Yelwa lakes to find out the extent of contamination in the area. The extraction process was performed using QuEChERS method. The extracts were later analyzed for organophosphates pesticide residues using GC-MS. The result showed that the levels of organophosphates pesticides residues in fish samples were higher in Mormyrus rume follow by Clarias gariepinus while the Tilapia zilli recorded low concentration. The total of five organophosphate were recorded. Chlorpyrifos recorded high concentration of 1026.46 ppm in Mormyrus rume from Wurbo lake and 691.92 ppm from Yelwa lake. In Clarias gariepinus, Chlorpyrifos recorded the concentration of 584.45 ppm in Wurbo and 359.41 ppm from Yelwa lake. Ronel recorded levels of 42.53 in Clarias gariepinus and 5.56 ppm in Mormyrus rume from Wurbo. Phosphorodithioic acid recorded the concentration of 8.08 ppm in Clarias gariepinus and 4.84 ppm in Mormyrus rume from Wurbo lake. These values were above the maximum residue limits (MRL) by FAO/WHO, (2009, 2010 & 2021), ranges from 0.001 to 0.5ppm. The results indicate that there is a high level of contamination of these pesticides in fish which may pose a great danger to the environment. Regular monitoring is therefore required to control the levels of pesticide residues in the water bodies.
WEIGHT CONTROL IN CHILDREN USING MACHINE LEARNING ALGORITHM EMBEDDED IN INTERNET OF THINGS
Authors: ASEMEWALEN, NELSON OSEZELE  
Published: February 2025

Millions of people worldwide, particularly children, have suffered fatal consequences due to the issues of weight anomalies including overweight, obesity, stunted growth and the likes resulting from malnutrition. Early detection and treatment of these problems will help to eliminate or at least minimize the incidences of weight problems before and as well in adulthood. This study explores the role of IoT in monitoring children's weight to mitigate weight disorders and in reducing child mortality, diseases, and other issues linked to excess weight. It also introduces the use of machine learning’ clustering technique, feature selection, classification, cross validation technique, which will be used in IoT devices to monitor, predict and treat children with obesity problems. Upon completion of implementation, it is anticipated that the suggested system will effectively monitor patients believed to have weight-related problems, forecast their health conditions, and suggest treatments with minimal input from healthcare professionals. Additionally, it is anticipated that the system will demonstrate improved performance, greater accuracy in comparison to current systems, and ensure that the model remains robust against overfitting.
Ex-situ Spatial Distribution of Iron in Soil and its Effect on Uptake by Maize (Zea mays)
Authors: G.O. Ogunlade-Anibasa, , J. Daudu, , P.T. Ameh, , M.V. Aregbesola, 
Published: February 2025

This study investigated ex-situ spatial distribution of iron in soil and its effects on uptake of Fe by Zea mays. A greenhouse pot experiment which simulated three treatments control (0mg/kg Fe added, homogeneous (1000mg/kg Fe added) and heterogeneous (Simulated realistic heterogenity). Zea Mays was transplanted into the three treatments for six weeks after germination and initial establishment for four weeks. At harvest, root and shoot samples were collected and analyzed for Fe using the atomic absorption spectrometer (AAS) Thermos Fisher Scientific model ICE 3000 after acid digestion with nitric acid. The mean root Fe concentration in the control, homogeneous and heterogeneous treatments were 5965mg/kg, 7111mg/kg and 5389mg/kg respectively while the much shoot Fe concentration in the control, homogeneous and heterogeneous treatments were 1121mg/kg, 1405mg/kg and 831mg/kg respectively. There was no significant difference (p>0.05) in the shoot and root Fe concentration between treatments. This suggest that Zea Mays will acquire Fe from varying soil distribution effectively, However the root and shoot Fe concentration was 0.5 two percent higher than the control and heterogeneous treatments indicating an exaggerated uptake of Fe on a homogeneous distributed soil medium which unrealistic in nature shoot Fe concentration were two times as low as the root Fe concentration which implies that Fe is accumulated to a greater degree on the root and translocation to the shoot is greatly impaired in this plant. However, the shoot Fe concentration showed significant amount of Fe that may be potentially fund on the edible fruit consumed by humans and animals. The concentration factor (CF) were 0.3656, 0.4394 and 0.3209 for the control, homogeneous and heterogeneous treatments respectively. This similar trend in concentration factor showed that this plant has same ability for uptake of Fe in varying nutrient patch. This study demonstrated that spatial distribution of Fe metals plays a significant role in their uptake by plants it also showed that the metal uptake is also affected by the nature of the sort and zea Mays may be a rich source of Fe if grown in Fe rich soil. The plant iron concentration exceeded the WHO limits on food which may power a health risk to consumers. This study has implications for improving the nutritional quality of maize especially in Fe deficient Soils.
Constraints Faced by Dairy Farmers of Andhra Pradesh in Using ICT Tools
Authors: Bharath Chinni Venkata Sai , Raghuprasad K. P. , Mounika B. , Battu Prem Kiran , G. N Gunashree. , H. N Sampreetha. 
Published: February 2025

The application of ICTs has become a vital component in extension, striving to improve agriculture and related fields by providing timely and accurate information. ICT tools have revolutionized information sharing with farmers, yet dairy farmers face challenges in accessing information through these tools. Understanding and addressing these challenges is vital to develop inclusive environment for dairy farmers to boost their farm productivity and sustainability. Thus, a research was conducted in Chittoor district of Andhra Pradesh to determine various constraints the dairy farmers experience when utilizing ICT tools. The study employed an ex-post facto type research design and data was collected from 120 dairy farmers in 6 villages of Chittoor district, Andhra Pradesh. Garrett ranking methodology was adopted to analyse the constraints faced by farmers in using ICT tools. The findings showed that primary constraint faced was lack of sufficient skills in using ICT tools, with a Garrett mean score of 62.21 then poor network connection, high cost and maintenance of ICT tools with 58.98 and 58.59 respectively. The suggestions were also provided by respondents for effective usage of ICT tools, which were analyzed and ranked based on frequency and percentage. The suggestions included providing trainings on using ICT tools, enhanced network connection and ICT tools developed must be simple, easy to operate and user friendly with 79.17 %, 55.80% and 54.17% respectively.
Gender-Affirming Hormone Treatment and Metabolic Syndrome Among Transgender Veterans
Authors: Hashemi Leila , Marijic Buljubasic Andriana , Budoff Matthew J. , Copeland Laurel A. , Jackson Nicholas J. , Jasuja Guneet K. , Gornbein Jeffery , Reue Karen 
Published: July 2024

ImportanceGender-affirming hormone treatment (GAHT) is a common therapy for transgender individuals to reduce gender dysphoria and improve quality of life. Clarifying the long-term effects of GAHT remains a priority in transgender health research.ObjectiveTo explore whether sex hormones (estradiol and testosterone) are associated with the development of metabolic syndrome in transgender veterans compared with cisgender veterans.Design, Setting, and ParticipantsThis retrospective, longitudinal cohort study used International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes for gender dysphoria from the Veterans Health Administration national database to identify transfeminine and transmasculine veterans receiving documented feminizing (estradiol) or masculinizing (testosterone) treatment from January 1, 2006, to December 31, 2019, and for whom the GAHT initiation date and metabolic syndrome component–related data were available. Transgender veterans were matched to cisgender referents.ExposureGender-affirming hormone treatment.Main Outcomes and MeasuresMetabolic syndrome z-scores were calculated based on body mass index, systolic blood pressure, and levels of high-density lipoprotein cholesterol, triglycerides, and blood glucose. Changes in mean z-scores were compared among the transgender and cisgender groups before and after the index date (corresponding to GAHT initiation) using a repeated-measures analysis of variance model.ResultsThe cohort included 1290 participants: 645 transgender (494 [38.3%] transfeminine, 151 [11.7%] transmasculine) and 645 cisgender (280 [21.7%] female, 365 [28.3%] male). Mean (SD) age at the index date was 41.3 (13.2) years. Metabolic syndrome z-scores changed significantly over time and differed significantly across groups. Overall, transmasculine veterans had the greatest percentage increase in mean (SEM) z-scores after vs before the index date (298.0% [57.0%]; P &amp;lt; .001), followed by cisgender females (108.3% [27.5%]; P &amp;lt; .001), cisgender males (49.3% [27.5%]; P = .02), and transfeminine persons (3.0% [10.7%]; P = .77).Conclusions and RelevanceIn this cohort study, in both cisgender and transgender veterans, estradiol was associated with reduced metabolic syndrome risk, whereas testosterone was associated with increased risk. However, transmasculine individuals had the greatest risk and transfeminine individuals had the lowest risk of metabolic syndrome associated with these hormones. This is relevant for the management of metabolic syndrome risk factors in cisgender and transgender individuals and to potentially predict the risk of atherosclerotic cardiovascular disease, type 2 diabetes, systolic hypertension, insulin resistance, and nonalcoholic fatty liver disease.
DRD4 gene polymorphism and impulse control disorder induced by dopamine agonists in Parkinson's disease
Authors: Torres Viviana , Pérez‐Montesino Jesica , Fernández‐Santiago Rubén , Fernández Manel , Camara Ana , Compta Yaroslau , Martí María‐José , Guerra Beltran Àlex , Rios José , Valldeoriola Francesc , Ezquerra Mario 
Published: July 2024

AbstractImpulse control disorders and their consequences display variability among individuals, indicating potential involvement of environmental and genetic factors. In this retrospective study, we analyzed a cohort of Parkinson's disease patients treated with dopamine agonists and investigated the influence of the dopamine D4 receptor gene polymorphism, DRD4 7R+, which is linked to psychiatric disorders, impulsive traits, and addictive behaviors. We found that DRD4 7R+ is a significant genetic risk factor associated with the severity of ICD.
Phage Immunoprecipitation‐Sequencing Reveals CDHR5 Autoantibodies in Select Patients With Interstitial Lung Disease
Authors: Upadhyay Vaibhav , Yoon Young me , Vazquez Sara E. , Velez Tania E. , Jones Kirk D. , Lee Cathryn T. , Law Christopher S. , Wolters Paul J. , Lee Seoyeon , Yang Monica M. , Farrand Erica , Noth Imre , Strek Mary E. , Anderson Mark S. , DeRisi Joseph L. , Sperling Anne I. , Shum Anthony K. 
Published: July 2024

ObjectiveInterstitial lung diseases (ILDs) are a heterogeneous group of disorders that can develop in patients with connective tissue diseases. Establishing autoimmunity in ILD impacts prognosis and treatment. Patients with ILD are screened for autoimmunity by measuring antinuclear autoantibodies, rheumatoid factors, and other nonspecific tests. However, this approach may miss autoimmunity that manifests as autoantibodies to tissue antigens not previously defined in ILD.MethodsWe use Phage Immunoprecipitation‐Sequencing (PhIP‐Seq) to conduct an autoantibody discovery screen of patients with ILD and controls. We screened for novel autoantigen candidates using PhIP‐Seq. We next developed a radio‐labeled binding assay and validated the leading candidate in 398 patients with ILD recruited from two academic medical centers and 138 blood bank individuals that formed our reference cohort.ResultsPhIP‐Seq identified 17 novel autoreactive targets, and machine learning classifiers derived from these targets discriminated ILD serum from controls. Among the 17 candidates, we validated CDHR5 and found CDHR5 autoantibodies in patients with rheumatologic disorders and importantly, patients not previously diagnosed with autoimmunity. Using survival and transplant free–survival data available from one of the two centers, patients with CDHR5 autoantibodies showed worse survival compared with other patients with connective tissue disease ILD.ConclusionWe used PhIP‐Seq to define a novel CDHR5 autoantibody in a subset of select patients with ILD. Our data complement a recent study showing polymorphisms in the CDHR5‐IRF7 gene locus strongly associated with titer of anticentromere antibodies in systemic sclerosis, creating a growing body of evidence suggesting a link between CDHR5 and autoimmunity.
Disturbance observer based adaptive heading control for unmanned surface vehicle with event‐triggered and signal quantization
Authors: Ma Yifan , Li Wei , Ning Jun , Liu Lu 
Published: July 2024

SummaryThis article delves into the adaptive heading tracking control of unmanned surface vehicle (USV) by incorporating an event‐triggered mechanism and signal quantization. The primary objective is to save communication resources while alleviating the burden of signal transmission. To address time‐varying external perturbations inherent in the control system, a disturbance observer is employed for precise estimation. Additionally, a linear model is introduced to delineate the procedure of quantization. By furnishing the controller with purpose‐designed quantized control input, the adaptive tracking control system can effectively track desired input without requiring any prior knowledge of the quantized parameters. The article substantiates its claims by demonstrating the system's stability in the absence of quantization considerations and the bounded nature of quantization errors through a series of presented lemmas. Further, the stability of the USV heading control system, integrated with an event‐triggered mechanism and signal quantization, is proofed in accordance with Lyapunov stability theory. Finally, the proposed strategy's efficacy and practical applicability are validated through experimental simulations.
Copper Foil Substrate Enables Planar Indium Plating for Ultrahigh‐Efficiency and Long‐Lifespan Aqueous Trivalent Metal Batteries
Authors: Chang Songyang , Lu Linguo , Ullah Irfan , Hou Wentao , Florez Gomez Jose Fernando , Conde‐Delmoral Amanda , Font Marin Clara M. , Morell Gerardo , Chen Zhongfang , Wu Xianyong 
Published: July 2024

AbstractAqueous trivalent metal batteries represent a compelling candidate for energy storage due to the intriguing three‐electron transfer reaction and the distinct properties of trivalent cations. However, little research progress has been achieved with trivalent batteries due to the inappropriate redox potentials and drastic ion hydrolysis side reactions. Herein, the appealing yet underrepresented trivalent indium is selected as an advanced metal choice and the crucial effect of substrate on its plating mechanism is revealed. When copper foil is used, an indiophilic indium‐copper alloy interface can be formed in situ upon plating, exhibiting favorable binding energies and low diffusion energy barriers for indium atoms. Consequently, a planar, smooth, and dense indium metal layer is uniformly deposited on the copper substrate, leading to outstanding plating efficiency (99.8–99.9%) and an exceedingly long lifespan (6.4–7.4 months). The plated indium anode is further paired with a high‐mass‐loading Prussian blue cathode (2 mAh cm−2), and the full cell (negative/positive electrode capacity, N/P = 2.5) delivers an excellent cycling life of 1000 cycles with 72% retention. This work represents a significant advancement in the development of high‐performance trivalent metal batteries.
Dynamically Controllable Terahertz Electromagnetic Interference Shielding by Small Polaron Responses in Dirac Semimetal PdTe2 Thin Films
Authors: Guo Yingyu , Chen Zhongqiang , Jin Zuanming , Wang Xuefeng , Zhang Chao , Balakin Alexey V. , Shkurinov Alexander P. , Peng Yan , Zhu Yiming , Zhuang Songlin 
Published: July 2024

AbstractTerahertz (THz) electromagnetic interference (EMI) shielding materials is crucial for ensuring THz electromagnetic protection and information confidentiality technology. Here, it is demonstrated that high electrical conductivity and strong absorption of THz electromagnetic radiation by type‐II Dirac semimetal PdTe2 film make it a promising material for EMI shielding. Compared to MXene film, a commonly used metallic 2D material, the PdTe2 film demonstrates a remarkable 40.36% increase in average EMI shielding efficiency per unit thickness within a broadband THz frequency range. Furthermore, it is demonstrated that a photoinduced long life‐time THz transparency in Dirac semimetal PdTe2 films is attributed to the formation of small polarons due to the strong electron‐phonon coupling. A 15 nm‐thick PdTe2 film exhibits a photoinduced change of EMI SE of 1.1 dB, a value exceeding three times that measured on MXene film with a similar pump fluence. This work provides insights into the fundamental photocarrier properties in type‐II Dirac semimetals that are essential for designing advanced THz optoelectronic devices.