bluuebunny/crossref_metadata_2025_split huggingface dataset:
Percentage Of Body Fat Related With Functional Capacity In Young Adults
Authors: Ainnaya Delia , Putri Mustika Anggiane 
Published: September 2023

Introduction. The percentage of body fat is a component of body composition in addition to bone mass, muscle mass, and body water content related to obesity. Diseases caused by an increase in body fat will have an impact on decreasing the body's functional capacity, disability, and death. Maximum Oxygen Volume (VO2 max) refers to the maximum amount of oxygen that humans can use during physical activity. It is usually used to test aerobic endurance or cardiovascular fitness so that VO2 max can describe a person's functional capacity. Percentage of body fat can affect VO2 max. Based on data from the Sports Development Index (SDI) in Indonesia, 43.9% of young adults have a poor VO2 max. This study aims to determine whether or not there is a relationship between body fat percentage and functional capacity in young adults.
Methods. The study used a cross-sectional method and was followed by 92 respondents throughout October and November 2022. Bioelectrical Impedance Analysis (BIA) is used to measure body fat percentage. The 6-minute Walk Test is used to measure VO2 max.
Results. The results of the study showed that the bivariate analysis of the Fisher's Exact test obtained a significant relationship between body fat percentage (measured by BIA) and body functional capacity (VO2 max) (p=0.028).
Conclusion. There was a significant relationship between body fat percentage through BIA measurements and functional capacity in young adults.
FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA APARATUR : STUDI LITERATUR
Authors: Ersalina  , Afrah Junita  , Muhammad Salman  
Published: September 2023

This article examines in the literature the factors that influence apparatus performance. This research uses data sources obtained through collecting research results from journal articles published on Google Scholar in 2018-2022. The results show that performance can be influenced by self-efficacy, participation in budgeting, information technology utilization, and competence. When an individual has high self-efficacy, is involved in preparing a budget, uses technology, and has appropriate competencies, his performance will increase. From these results it appears that this research has the potential to be reviewed through qualitative or quantitative methods using primary or secondary data.
self efficacy, Participation in Budgeting, Utilization of Information Technology, Competence, Performance
Pemanfaatan Cangkang Kerang Darah (Anadara granosa) Sebagai Filter Terhadap Kinerja Produksi dan Respons Fisiologi Benih Ikan Jelawat (Leptobarbus hoeveniii Blkr)
Authors: Harianto Eko , Ghofur Muarofah , Safratilofa Safratilofa , Panuntun Satria 
Published: September 2023

This study aims to determine the best shell particle size as a filter for recirculation systems in the rearing of barramundi (Leptobarbus hoevenii, Blkr) on production performance and physiological response. The study was conducted using an environmental design in a completely randomized design with 4 treatments and 3 replications, including treatment of without the addition of blood clam shells (A), size of the blood clam shell is 1 mm (B), size of the blood clam shell is 2 mm (C) and size of the blood clam shell is 1 mm 3 mm (D). The fish used in this study were the fingerlings of 2 ± 0.2 inches in size. The research results show that survival rates for all treatments ranged from 81.19% - 84.52%, specific weight growth rates for all treatments ranged from 4.01%/day - 4.24%/day, absolute length growth for all treatments ranged from 1.53 cm - 1.84 cm, absolute weight growth for all treatments ranged from 0.95 g - 1.08 g, feed conversion ratio for all treatments ranged from 2.51 - 2.98 and the coefficient of variation in final weight for all treatments ranged from 20.69 % - 24.84 %. Blood glucose values at the end of the maintenance period ranged from 56.67 mg/dL – 95.67 mg/dL. The results of the analysis of the water quality of the rearing medium show that the water quality is still in the feasible range for the maintenance of barnet fish
Revisión bibliográfica descriptiva de formas farmacéuticas desarrolladas a base de extractos de plantas con acción antifúngica
Authors: Lliguin Tigre Rosa Dolores , Katherin Gabriela Torres Trujillo  , Cárdenas Cordero Janneth Fernanda 
Published: September 2023

Introducción. Los hongos han sido causantes de diversas enfermedades en el ser humano, estas enfermedades se han venido tratando con fármacos antimicóticos que si bien atacan al hongo también han traído consigo efectos adversos como afecciones a la salud de las personas, desarrollo de resistencia al medicamento, entre otras. El desarrollo de fitofármacos ha significado una opción natural para el tratamiento de dichas enfermedades reduciéndose estos efectos adversos. Objetivo. Identificar las plantas que han sido evaluadas para el tratamiento de enfermedades causadas por hongos, así como su eficacia. Metodología. La presente investigación consiste en una revisión bibliográfica de diversos estudios que se enfocan en el uso de plantas en diferentes formas farmacéuticas para el tratamiento de afecciones causadas por hongos. Los estudios fueron extraídos de las bases digitales de Scopus, Google Scholar, Science Direct, Taylor & Francis, Redalyc y Ovid, considerando investigaciones realizadas desde el año 2018 hasta la actualidad, sus características fueron tabuladas para su análisis. Resultados. Se logró identificar que las afecciones más comunes son causadas por el hongo Cándida siendo de las plantas con mayor eficacia el Aloe vera no obstante todas las plantas evaluadas presentaron porcentajes de eficiencia positivos en el tratamiento de los diferentes hongos. Conclusión. Es necesario continuar con los estudios de las diferentes plantas para aprovechar su potencial antifúngico y tener la posibilidad de tratar un amplio número de afecciones causadas por hongos de manera natural, con menor riesgo de efectos secundarios, de desarrollar resistencia fúngica y sobre todo accesible a la población. Área de estudio general: Bioquímica y Farmacia. Área de estudio específica: Farmacología. Tipo de estudio: Artículo de revisión bibliográfica.
Unidades recurrentes cerradas (GRU) vs redes neuronales artificiales en la predicción de la generación eléctrica de la Central Hidroeléctrica Illuchi
Authors: Bustamante Freire Fernando Santiago , Castillo Fiallos Jessica Nataly , Quinatoa Caiza Carlos Iván , Reinoso Peñaherrera Héctor Raúl 
Published: September 2023

La predicción de eventos ha sido desde la antigüedad, un fenómeno capaz de generar curiosidad en el ser humano, sin embargo, para lograr una proyección de un evento futuro se requiere de un análisis detallado de datos para predecir eventos posteriores, con esta idea. Objetivos: el objetivo de la investigación fue desarrollar dos sistemas de predicción aplicando redes neuronales artificiales y GRU para determinar la generación eléctrica pronosticada en la CENTRAL HIDROELÉCTRICA ILLUCHI. Metodología: Los datos utilizados para este estudio fueron recopilados de los operadores de ELEPCO S.A. en base a los años 2008 - 2020. Las variables de entrada fueron la fecha y la energía generada para elaborar diferentes casos con distintas condiciones con el fin de llegar a un modelo de Red Neuronal Recurrente exitoso posible. Resultados: Una vez comprendidas las variables del modelo, los datos se dividieron en dos grupos: entrenamiento 70% y validación 30% respectivamente. Para el entrenamiento correspondiente se utilizó el algoritmo ADAM y las librerías proporcionadas por Python. Área de estudio general: Ingeniería. Área de estudio específica: Eléctrica.
Toimintatutkimuksella ilmiölähtöisyyttä ja sidosryhmäymmärrystä lainoppiin – havaintoja lainopin ja matkailututkimuksen välisestä vuoropuhelusta
Authors: Päläs Jenna , Hakkarainen Maria 
Published: September 2023

Alustavälitteinen palveluiden tuottamisen yleistyminen ja toimijakentän monipuolistuminen edellyttävät tietoa siitä, miten jakamistalouspohjaisen matkailun vastuullisuutta voidaan ohjata ja säännellä. Ilmiöön kiinnittyvän vastuullisuuden ymmärtäminen kuitenkin edellyttää, että ilmiön rakenteita tarkastellaan laajemmissa kokonaisuuksissa, eri käsitejärjestelmien ja tieteenalojen vuorovaikutuksessa. Kirjoituksemme keskittyy oikeustieteiden alle lukeutuvan lainopin ja matkailututkimuksen vuoropuhelun tarkasteluun ja pohdimme kuinka toimintatutkimusmenetelmä voi toimia poikkitieteellisen tutkimuksen mahdollistajana. Reflektoimme Vastuullisuus ja arvonluonti jakamistaloudessa (Jaava) -hankkeessa toteutettua tutkimusprosessia ja pohdimme, miten toimintatutkimus rikastutti aineistoa, tuotti näkökulmia poikkitieteellisille havainnoille ja mahdollisti ilmiöymmärryksen lisäämisen.
Havaintojemme mukaan tieteenaloja yhdistävä toimintatutkimus näyttäytyy väylänä välittää lainopillisia havaintoja matkailututkimuksen kohteena olevasta ilmiöstä ja tuottaa poikkitieteellistä ymmärrystä toimija- ja sidosryhmätutkimukseen. Lainopillinen tieto normi- ja tulkintaympäristöstä tekee näkyväksi yhteyksiä, joiden ansiosta matkailun vastuullisuustutkimus ikään kuin saavuttaa uusia toimijoita, oikeusjärjestyksestä ponnistavissa yhteyksissä, tutkimussuuntausten ja tieteenalojen katvealueita ylittäen. Lainopille toimintatutkimus tuottaa tietoa sidosryhmälähtöisesti oikeuden normatiivisesta vaikutuskentästä, oikeussäännösten tulkinta-asetelman vaikutuskontekstista ja sen subjekteista. Toimintatutkimus voi edistää oikeustilan epäselvyyksien tarkempaa erittelyä eli auttaa vastaamaan kysymykseen, mistä oikeustilan koetussa epäselvyydessä on oikeastaan kysymys. Tuotettu kontekstiymmärrys tarjoaa mahdollisuuksia myös lain- ja oikeusanalogiaan perustuvalle argumentaatiolle. Tieteenalojen välisen vuorovaikutuksen rinnalla tutkimus tuotti tietoa ja konkreettisia toimintaohjeita matkailualan vastuullisuustyöhön.
Long-term effects of COVID-19 on the endocrine system – a pilot case-control study
Authors: Szczerbiński Łukasz , Okruszko Michał Andrzej , Szabłowski Maciej , Sołomacha Sebastian , Sowa Paweł , Kiszkiel Łukasz , Gościk Joanna , Krętowski Adam Jacek , Moniuszko-Malinowska Anna , Kamiński Karol 
Published: September 2023

BackgroundCoronavirus disease 2019 (COVID-19) has permanently changed the world. Despite having been a pandemic for nearly 3 years, the mid- and long-term complications of this disease, including endocrine disorders, remain unclear. Our study aimed to evaluate the lasting effects of COVID-19 on the endocrine system 6 months after initial infection.MethodsWe compared patients who underwent COVID-19 to age- and sex-matched subjects from a population-based study conducted before the pandemic. We evaluated differences in multiple parameters related to metabolism and the endocrine system including fasting glucose, insulin, lipids, body composition, thyroid stimulating hormone (TSH), free thyroxine (fT4), free triiodothyronine (fT3), anti-thyroglobulin (aTG) and anti-thyroid peroxidase (aTPO) antibodies, prolactin, cortisol, testosterone, and estradiol.ResultsWe found significantly lower levels of fT3 and fT4, accompanied by higher levels of TSH and aTPO antibodies, in COVID-19 survivors. Moreover, we found that patients who underwent SARS-CoV2 infection had higher levels of prolactin and lower levels of testosterone than controls. Interestingly, differences in testosterone levels were observed only in male subjects. We did not detect significant differences in body composition or metabolic and glycemic parameters between cases and controls, except for significantly higher values of the HOMA2-B index in COVID-19 survivors.ConclusionOur study indicates that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection might have long-term consequences on the endocrine system, including the suppressed function of the thyroid gland, prolactin, and male sex hormone secretion. Moreover, we showed that in a 6-month follow-up, COVID-19 had no consequences on glycemic parameters, lipid profiles, liver function, body composition, cortisol levels, and estradiol levels.
Y chromosome evidence confirms northeast Asian origin of Xinjiang Kazakhs and genetic influence from 18th century expansion of Kerey clan
Authors: Wang Bangyan , Liang Jiayu , Allen Edward , Chang Xin , Jiang Zixi , Yu Yao , Shi Meisen , Wen Shaoqing 
Published: September 2023

AbstractThe Kazakhs of Xinjiang province are characterized by their nomadic lifestyle and patrilineal clan system. However, compared to Central Asian Kazakhs, a lack of Y chromosomal high-resolution analysis has hindered our understanding of the paternal history of modern Xinjiang Kazakhs.MethodsIn this study, we present the analysis of 110 Y-SNP data from 209 Altay Kazakhs and 201 Ili Kazakhs in Xinjiang, along with their previously reported 24 Y-STR loci data.Results and discussionWe found that the Y chromosome haplogroups exhibit greater diversity in Altay Kazakhs compared to Kazakhs in Kazakhstan, Russia, and other regions of China. Y-SNP-based PCA plots reveal that both the Altay and Ili Kazakhs are situated between the Turkic, Mongolia, and Tibeto-Burman clusters. The dominant haplogroup C2a1a3-F1918, which originated in northeast Asia during the Neolithic Age, accounts for nearly half of the Altay and Ili Kazakhs. The Y lineage network of C2a1a3-F1918 contained two subclusters. Approximately 60.6% of the Altay Kazakhs belong to the DYS448-23 subcluster, indicating their Kerey-Abakh ancestry. On the other hand, around three-quarters of the Ili Kazakhs belong to the DYS448-22 subcluster, suggesting their Kerey-Ashmaily heritage. Notably, the TMRCA ages of the DYS448-23 subcluster were calculated to be 289.4 ± 202.65 years, which aligns with the historical immigration of the Kerey clan back to the Altay Mountains after the defeat of the Dzungar by the Qing dynasty in the mid-18th century.
Identification of lactate regulation pattern on tumor immune infiltration, therapy response, and DNA methylation in diffuse large B-cell lymphoma
Authors: Wang Jinghua , Wang Yanjun , Wan Li , Chen Xinyuan , Zhang Han , Yang Shuo , Zhong Liye 
Published: September 2023

BackgroundLactate, produced through glycolytic metabolism in the tumor microenvironment (TME), is implicated in tumorigenesis and progression in diverse cancers. However, the impact of lactate on the remodeling of the TME in diffuse large B-cell lymphoma (DLBCL) and its implications for therapy options remain unclear.MethodA lactate-related (LAR) scoring model was constructed in DLBCL patients using bioinformatic methods. CIBERSORT, XCELL, and ssGSEA algorithms were used to determine the correlation between LAR score and immune cell infiltration. Tumor Immune Dysfunction and Exclusion (TIDE), rituximab, cyclophosphamide, adriamycin, vincristine, and prednisone (R-CHOP) cohorts, and Genomics of Drug Sensitivity in Cancer (GDSC) were utilized to predict the therapeutic response of DLBCL patients. The impact of the hub gene STAT4 on tumor biological behavior and DNA methylation was experimentally validated or accessed by the TSIDE database.ResultsThe LAR scoring model was developed based on 20 prognosis-related lactate genes, which enabled the division of DLBCL patients into high- and low-risk groups based on the median LAR score. Patients with high-risk DLBCL exhibited significantly worse survival outcomes in both the training cohorts (GSE181063) and the validation cohorts (GSE10846, GSE32918, and GSE69053), as indicated by statistically significant differences (all P&lt;0.05) and area under the curve (AUC) values exceeding 0.6. Immune analyses revealed that low-risk DLBCL patients had higher levels of immune cell infiltration and antitumor immune activation compared to high-risk DLBCL patients. Furthermore, DLBCL patients with high LAR scores were associated with a lower TIDE value and poor therapeutic efficacy of the R-CHOP regimen. GDSC analysis identified 18 drugs that exhibited significant response sensitivity in low-risk DLBCL patients. Moreover, in vitro experiments demonstrated that overexpression of the lactate key gene STAT4 could suppress proliferation and migration, induce cell cycle arrest, and promote cell apoptosis in DLBCL cells. Transcriptional expression and methylation of the STAT4 gene were found to be associated with immunomodulators and chemokines.ConclusionThe lactate-based gene signature effectively predicts the prognosis and regulates TME in DLBCL. Our study underscores the role of lactate gene, STAT4, as an important tumor suppressor in DLBCL. Modulating STAT4 could be a promising strategy for DLBCL in clinical practice.
Digoxin protects against intervertebral disc degeneration via TNF/NF-κB and LRP4 signaling
Authors: Meng Qunbo , Liu Kaiwen , Liu Zhenchuan , Liu Jinbo , Tian Ziyu , Qin Shanshan , Wei Jianlu , Cheng Lei 
Published: September 2023

BackgroundIntervertebral disc degeneration (IVDD) is a leading cause of low back pain (LBP). The pathological process of IVDD is associated with inflammatory reactions and extracellular matrix (ECM) disorders. Digoxin is widely used for treating heart failure, and it has been reported to have anti-inflammatory effects.ObjectiveThis study is to investigate the role of digoxin in the pathogenesis of intervertebral disc degeneration as well as the involved molecular mechanism, particularly the potential target protein.MethodsWe exploited a rat needle model to investigate digoxin’s role in intervertebral disc degeneration in vivo. Safranin O staining was used to measure cartilaginous tissue in the intervertebral disc. The morphological changes of intervertebral discs in animal models were determined by Hematoxylin-Eosin (H&amp;E) staining and the pathological score. Primary nucleus pulposus cells (NP cells) from intervertebral discs of patients and murine were used in the present study. Western-Blotting assay, Real-time PCR assay, immunofluorescence staining, and immunochemistry were used to detect the role of digoxin in anti-TNF-α-induced inflammatory effects in vitro. Transfection of siRNA was used to regulate low-density lipoprotein receptor-related protein 4 (LRP4) expression in NP cells to investigate the potential protein target of digoxin.ResultsDigoxin protected against intervertebral disc degeneration in rat needle models. Digoxin was found to exert its disc-protective effects through at least three different pathways by a) suppressing TNF-α-induced inflammation, b) attenuating ECM destruction, c) significantly promoting ECM anabolism. Additionally, LRP4 was found to be the downstream molecule of digoxin in NP cells for anti-inflammation and regulation of ECM metabolism. The knockdown of LRP4 downregulated the protective effect of digoxin in NP cells.ConclusionThese findings suggest that digoxin may be a potential therapeutic agent for intervertebral disc degeneration through anti-catabolism and pro-anabolism. Digoxin might also work as an alternative for other inflammation-related diseases.
A systematic review and meta-analysis of neopterin in rheumatic diseases
Authors: Mangoni Arduino A. , Zinellu Angelo 
Published: September 2023

IntroductionNovel biomarkers of inflammation and oxidative stress might enhance the early recognition, management, and clinical outcomes of patients with rheumatic diseases (RDs). We assessed the available evidence regarding the pathophysiological role of neopterin, the oxidation product of 7,8-dihydroneopterin, a pteridine generated in macrophages activated by interferon-γ, by conducting a systematic review and meta-analysis of studies reporting its concentrations in biological fluids in RD patients and healthy controls.MethodsWe searched electronic databases for relevant articles published between inception and 31 August 2023. The risk of bias and the certainty of evidence were assessed using the Joanna Briggs Institute Critical Appraisal Checklist and the Grades of Recommendation, Assessment, Development and Evaluation Working Group system, respectively.ResultsIn 37 studies, when compared to healthy controls, RD patients had significantly higher concentrations of neopterin both in plasma or serum (standard mean difference, SMD=1.31, 95% CI 1.01 to 1.61; p&lt;0.001; moderate certainty of evidence) and in the urine (SMD=1.65, 95% CI 0.86 to 2.43, p&lt;0.001; I2 = 94.2%, p&lt;0.001; low certainty of evidence). The results were stable in sensitivity analysis. There were non-significant associations in meta-regression and subgroup analysis between the effect size and age, male to female ratio, year of publication, sample size, RD duration, C-reactive protein, erythrocyte sedimentation rate, specific type of RD, presence of connective tissue disease, analytical method used, or biological matrix investigated (plasma vs. serum). By contrast, the effect size was significantly associated with the geographical area in studies assessing serum or plasma and with the type of RD in studies assessing urine.DiscussionPending additional studies that also focus on early forms of disease, our systematic review and meta-analysis supports the proposition that neopterin, a biomarker of inflammation and oxidative stress, can be useful for the identification of RDs. (PROSPERO registration number: CRD42023450209).Systematic review registrationPROSPERO, identifier CRD42023450209
Utilizing risk-controlling prediction calibration to reduce false alarm rates in epileptic seizure prediction
Authors: Segal Galya , Keidar Noam , Lotan Roy Maor , Romano Yaniv , Herskovitz Moshe , Yaniv Yael 
Published: September 2023

IntroductionEpilepsy is a neurological disease characterized by sudden, unprovoked seizures. The unexpected nature of epileptic seizures is a major component of the disease burden. Predicting seizure onset and alarming patients may allow timely intervention, which would improve clinical outcomes and patient quality of life. Currently, algorithms aiming to predict seizures suffer from a high false alarm rate, rendering them unsuitable for clinical use.MethodsWe adopted here a risk-controllingprediction calibration method called Learn then Test to reduce false alarm rates of seizure prediction. This method calibrates the output of a “black-box” model to meet a specified false alarm rate requirement. The method was initially validated on synthetic data and subsequently tested on publicly available electroencephalogram (EEG) records from 15 patients with epilepsy by calibrating the outputs of a deep learning model.Results and discussionValidation showed that the calibration method rigorously controlled the false alarm rate at a user-desired level after our adaptation. Real data testing showed an average of 92% reduction in the false alarm rate, at the cost of missing four of nine seizures of six patients. Better-performing prediction models combined with the proposed method may facilitate the clinical use of real-time seizure prediction systems.