bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANÁLISIS DE LOS PROGRAMAS Y POLÍTICAS QUE OFRECEN LAS INSTITUCIONES FINANCIERAS EN EL FORTALECIMIENTO DE LAS EMPRESAS DE TURISMO EN LOS DEPARTAMENTOS DE CAQUETÁ Y QUINDÍO PARA LA INNOVACIÓN
Authors: Giraldo Correa María Patricia , Beltrán Chica John Jairo 
Published: February 2024

El presente documento es el resultado de un proceso investigativo desarrollado en los departamentos de Caquetá y Quindío, que evaluó el impacto de las entidades financieras en la competitividad sistémica del sector turismo. Para lograrlo, se parte del enfoque sistémico de la competitividad, a través del análisis de los aspectos y características del sector turismo, así como de su relación con las entidades financieras. Luego, se identifican los factores socioeconómicos que dinamizan los procesos de gerencia, innovación y tecnología adoptados por las empresas de turismo en ambos departamentos. Este estudio se realizó a partir de un trabajo aplicado de carácter exploratorio-descriptivo, que, basado en los principios de la teoría económica y administrativa, permitió diseñar y aplicar una herramienta metodológica para identificar las características del portafolio de servicios de las entidades financieras y los factores que midieron su impacto y participación en el desarrollo de la competitividad sistémica de las empresas turísticas (alojamientos, servicios, transporte y restaurantes). Finalmente, se formulan reflexiones y propuestas orientadas a las entidades financieras, las empresas turísticas y los organismos gubernamentales, para que diseñen políticas y lineamientos que impulsen el fortalecimiento y la competitividad de esta actividad económica en las regiones; estableciendo la contribución de este tipo de investigaciones para ampliar la frontera de conocimiento y para resaltar papel de las entidades públicas y privadas en la consolidación del territorio.
The Effect of Knee Tuck Jump and Jump-To-Box Plyometric Training on Female Students’ Leg Muscle Strength and Flexibility in Volleyball Extracurricular Activity
Authors: Rismayanthi Cerika , Salam Nur Alfitra , Alim Abdul , Miftachurochmah Yulvia 
Published: February 2024

Study purpose. This study aimed to investigate the effects of Knee Tuck Jump or Jump to Box plyometric training and to determine their effectiveness in increasing leg muscle strength and flexibility in female students participating in volleyball extracurriculars.
Materials and methods. This study used a quasi-experimental design. Twenty-four female students were randomly selected as samples and then divided into two categories: 12 students receiving Knee Tuck Jump training (age: 17.08±0.51) and 12 students receiving Jump to Box training (age: 17.00±0.60). All participants performed the initial and final tests using the Vertical Jump and sit-and-reach tests. To analyze the data, the t-test was used to determine the differences in variables between the pretest and posttest in the experimental group.
Results. In the Knee Tuck Jump group, a significant improvement in VJ (P=0.000) and sit-&-reach tests (P=0.000) was observed. In addition, Knee Tuck Jump was considered to be more effective in increasing the students’ flexibility, because the t value of sit-&-reach test (14.075) was higher than that of VJ (13.811).
Similarly, the Jump to Box group also showed a significant improvement in VJ (P=0.000) and sit-&-reach (P=0.000) tests. However, Jump to Box was deemed to be more effective in increasing the students’ leg muscle strength, as the t value of VJ (26.086) was higher than that of sit-&-reach test (9.594).
Conclusions. Based on the research findings, it can be concluded that plyometric exercises, specifically KTJ and JB, have a significant and positive impact on the lower limb muscle strength and flexibility in female students participating in volleyball extracurricular activities. Despite both demonstrating significant positive effects, KTJ training is more effective in improving flexibility compared to JB, while JB is more effective in enhancing lower limb muscle strength compared to KTJ.
Ayurvedic management of pituitary macroadenoma-a case report
Authors: Vasanth Anuja K. , Giri P. V. , Marikutty T. C. 
Published: February 2024

Pituitary macroadenoma is an infrequently encountered clinical condition, characterized by a non-metastasizing neoplasm situated within the pituitary gland. This case report endeavours to elucidate the efficacy of ayurvedic interventions in achieving symptomatic resolution. A 44-year-old female patient, residing in Thrissur, diagnosed with features suggestive of pituitary macroadenoma, sought admission to Vaidyaratnam ayurveda college hospital for complaints of generalized pain, heaviness of head, impaired peripheral vision in the left eye, and amenorrhea persisting for approximately 7 months. The case was conclusively diagnosed as Pituitary Macroadenoma and meticulously addressed through therapeutic modalities including takradhara, nasyam, and thalapothichil. patient was already prescribed with Caberlin tablets at a dosage of 0.25 mg twice weekly, administered nocturnally. Following 21 days of treatment, notable improvement in the LBNQ-Pituitary score was observed from 60 to 21 accompanied by significant symptomatic alleviation. A specific treatment protocol for the management of pituitary macroadenoma is currently unavailable.
Castration resistant prostate cancer: from existing therapies to compounds under investigation
Authors: Bajaj Raveena , Pareek Anil , Purkait Indranil 
Published: February 2024

Prostate carcinoma is a highly prevalent biologically and clinically heterogeneous disease. Unfortunately, within 5 years of diagnosis, 10-20% of patients acquire a castration-resistant prostate cancer (CRPC) in spite of multiple surgical and non-surgical therapy choices. The clinical context of CRPC is heterogeneous, encompassing patients with asymptomatic prostate-specific antigen (PSA) elevation following ADT failure and good performance status, as well as those experiencing severe, incapacitating symptoms and a rapidly progressing disease that ultimately results in death. Non-metastatic CRPC (nmCRPC) is a stage of the disease that is transient and is defined by certain criteria that are set within a certain time frame. Most patients with nmCRPC will eventually develop metastatic lesions, which are linked to morbidity and death specific to prostate cancer. Until 2010, the only treatments for patients with metastatic prostate cancer were androgen deprivation therapy and docetaxel. The advent of several hormonal and non-hormonal therapies such as abiraterone acetate, enzalutamide, apalutamide, cabazitaxel, darolutamide, the immunotherapeutic sipuleucel-T has brought about a paradigm shift in management of CRPC patients. These molecules have demonstrated a survival benefit in mCRPC & nmCRPC. For patients with advanced PSMA-positive mCRPC, 177Lu-PSMA-617 radioligand therapy offers a novel and efficacious therapeutic approach. PARPi are sensitive to tumors with gene mutations that impact homologous recombination repair, such as BRCA1 and BRCA2 abnormalities in mCRPC. The goal of this study was to highlight recent developments in CRPC clinical trials as well as guidelines recommendations for CRPC.
A study on knowledge, attitude and practices towards research among medical post graduate students
Authors: Junga Tejaswini , Naidana Partha Sarathy 
Published: February 2024

Background: Research is crucial for the scientific progress of the health of individuals and communities. Understanding the concept of evidence-based medicine needs strong research knowledge. Research assures understanding of the subject and improves the knowledge of the students. This study was aimed to assess the level of knowledge, attitude and practices among medical post graduate students and to study the sociodemographic factors. And to determine the association of knowledge with various sociodemographic factors.
Methods: An analytical cross-sectional study conducted during a period of two months among the medical post graduate students studying in a private medical college. Knowledge, attitude and practice were assessed by using self- administered questionnaire among 117 post graduate students. Likert scale was used to assess the knowledge component.
Results: Among 117 study subjects 47% were first year 27.4% were second year and 25.6% were third year among which the overall adequate knowledge was 86.3%, positive attitude was 95.7% and good practices according to the study scale was only 29.1%. Level of knowledge and practices were found to be having significant association with the academic year studying in (p value <0.05).
Conclusions: The post graduate students had adequate knowledge and positive attitude but had poor practices towards research. Adequate research helps to bridge the gaps in research and help the future generations in developing new interventions.
EXAM: Ex vivo allograft monitoring dashboard for the analysis of hypothermic machine perfusion data in deceased-donor kidney transplantation
Authors: Schwab Simon , Steck Hélène , Binet Isabelle , Elmer Andreas , Ender Wolfgang , Franscini Nicola , Haidar Fadi , Kuhn Christian , Sidler Daniel , Storni Federico , Krügel Nathalie , Immer Franz 
Published: February 2024

Abstract
Deceased-donor kidney allografts are exposed to injury during ex vivo transport due to the lack of blood oxygen supply. Hypothermic machine perfusion (HMP) effectively reduces the risk of delayed graft function in kidney transplant recipients compared to standard cold storage. However, no free software implementation is available to analyze HMP data for state-of-the-art visualization and quality control. We implemented the tool EXAM (ex vivo allograft monitoring) as an interactive analytics dashboard. The backbone is a collection of functions in the R programming language to read, process, and analyze HMP data from the LifePort kidney transporter (Organ Recovery Systems, USA). Time series for pressure, flow rate, organ resistance, and temperature are visualized, and relevant statistical indicators have been developed. EXAM is free software written in the R programming language that statisticians and data scientists can quickly deploy to enable quality control and novel research at transplant organizations that use LifePort kidney transporters.
Effects of water level fluctuations on the trophic state of a connected lacustrine system (Southern Andes, Patagonia, Argentina): applicability of the CDOM method as a monitoring tool of eutrophication
Authors: Gianello Diamela , Reissig Mariana , Pérez Gonzalo L. , Rechencq Magalí , De Stefano Lucía G. , Queimaliños Claudia 
Published: February 2024

Abstract

Hydrological connectivity plays a central role in lake’s functioning and is strongly influenced by water level fluctuations (WLFs), which occur naturally or due to human activities and can induce changes in lakes’ trophic states. Traditionally, trophic state has been assessed using the Trophic State Index (TSI), but recently, the chromophoric dissolved organic matter (CDOM) emerged as a new indicator of eutrophication. We conducted a two-years seasonal survey in three interconnected Andean-Patagonian lakes (Argentina), with different hydrogeomorphic features and macrophyte cover, considering both low-water (LWP) and high-water (HWP) phases. We aimed to determine the influence of WLFs and macrophyte cover on TSI dynamics, and to evaluate the use of CDOM for monitoring the trophic state of these Andean-Patagonian lakes. TSI ranged from ultraoligotrophy to mesotrophy and showed significant changes between rainy and dry seasons, particularly in shallow lakes. WLFs revealed as an important regulatory factor in this connected system, since a pronounced differentiation of physicochemical variables occurred among lakes during LWP, and a homogenization during HWP. Submerged macrophytes strongly affected nutrient dynamics, especially N, and consequently TSI. During LWP, nutrient release associated with macrophyte senescence resulted in elevated TSI values in the shallowest lake. During periods of macrophyte growth and higher hydrological connectivity, a dilution effect developed, with reduced TSI values. Strong correlations found between TSI and CDOM (a254), highlighted CDOM as a reliable indicator of TSI, even in ultraoligotrophic lakes. The positive relationship TSI-a355suggests the potential use of optical satellites to estimate TSI, increasing spatial and temporal monitoring capabilities.
Recruiting older people with mild frailty from the community to a trial: what works?
Authors: Kalwarowsky Sarah , Hopkins Jane , Prescott Matthew , Mahmood Farah , Thomas Verity , Thornton Gillian , Campbell Shelley , Andrusjak Wendy , Avgerinou Christina , Walters Kate , Frost Rachael 
Published: February 2024

Abstract

Background
Under-recruitment of older people to Randomised Controlled Trials (RCTs) is a widespread problem. Recruitment through community organisations (e.g. social groups, sheltered housing) has been thought to bolster recruitment and improve diversity.
Methods
We successfully recruited 388 older people with mild frailty to a RCT testing a new service designed to prevent frailty and promote independence. We compared the recruitment of participants using General Practice (GP) mailouts (N = 360), and through community organisations (N = 27).
Results
We found that GP mailouts involved 60% less researcher time per participant and resulted in better retention than community recruitment. Despite the aim of community-based recruitment to increase representation of underserved groups, it resulted in slightly fewer men and more people born in the UK who were White British than GP recruitment. It did increase the number of participants with lower educational levels and from more deprived areas.
Conclusions
Future studies may wish to modify their recruitment plans using this information and the time estimates provided.
Trial Registration: ISRCTN54268283
WITHDRAWN: AMPK α Succinylation modification of protein K266 enhances lipid metabolism and promotes growth of non-small cell lung cancer cells
Authors: 汤 喜连 , Huang xiao-qin , Jian Zheng , Yu Hua-jun , Huang Qin-ying , He Liu-yan , Huang Qian-qian , Chen Rong-rong , Xian Xue-min , Chen Hu-ting , Jun Wu , Zhang Hai-tao 
Published: February 2024

Abstract
The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
External validation and updating of the Rossi nomogram for predicting cesarean delivery following induction: Is the Bishop score valuable?
Authors: Liu Guangpu , Zhang Jingya , Zhou Chaofan , Yang Ming , Yang Zhifen , Zhao Ling 
Published: February 2024

Abstract

Objective: This study sought to validate the Rossi nomogram in a Chinese population and then to include the Bishop score with the purpose of increasing the accuracy of the nomogram.
Materials and Methods: The Rossi predictive model was applied and externally validated in a retrospective cohort from August 2017 and July 2023 in a Chinese tertiary-level medical center. For the revision and updating of the models, the regression coefficients of all the predictors (except race) were re-estimated and then the cervical Bishop score at the time of induction was added. Each model’s performance was measured using the receiver-operating characteristic and calibration plots. Decision curve analysis determined the range of the probability threshold for each prediction model that would be of clinical value.
Results: A total of 721 women met the inclusion criteria, of whom 183 (25.4%) underwent a cesarean delivery. The calibration demonstrated the underestimation of the original model, with an area under the curve (AUC) of 0.789 (95% confidence interval [CI] 0.753–0.825, P < 0.001). After recalibrating the original model, the discriminative performance was improved from 0.789 to 0.803. Moreover, the discriminatory power of the updated model was further improved when the Bishop score at the time of induction was added to the recalibrated multivariable model. Indeed, the updated model demonstrated good calibration and discriminatory power, with an AUC of 0.811. The decision curve analysis indicated that all the models (original, recalibrated, and updated) provided higher net benefits of between 0% and 60% of the probability threshold, which indicates the benefits of using the models to make decisions concerning patients who fall within the identified range of the probability threshold. The net benefits of the updated model were higher than those of the original model and the recalibrated model.
Conclusion: The nomogram used to predict cesarean delivery following induction developed by Rossi et al. has been validated in a Chinese population in this study. More specifically, adaptation to a Chinese population by excluding ethnicity and including the Bishop score following induction gave rise to better performance. The three models (original, recalibrated, and updated) offer higher net benefits when the probability threshold is between 0% and 60%.
GSDMS are potential therapeutic targets and prognostic biomarkers in breast cancer
Authors: Huang Xiaoying , Han Yaxiang , Na Li , Yue Zhaoyi , Ma Rongrong , Wu Ligang , liu Qilun 
Published: February 2024

Abstract

Pyroptosis is a new type of programmed death recently discovered,the GSDM family plays a crucial role in pyroptotic processes. Numerous studies have reported that GSDM family can either inhibit or promote tumor development; However, the mechanism of action in breast cancer is unclear. In this study, we employed diverse online databases to investigate the differential expression of GSDMS in breast cancer compared to para-cancer and transcriptional variations among molecular subtypes. Furthermore, we explored the association between GSDMS and clinical characteristics, assessed its prognostic value, examined gene alterations, investigated the relationship between subtypes and RFS, evaluated immune cell infiltration level, and analyzed the level of GSDMS methylation in breast cancer. We observed a significant upregulation of GSDMD in breast cancer, while GSDMB-E and PJVK exhibited low expression levels in this malignancy. GSDMB and GSDMC were highly expressed in HER2-positive breast cancer but showed low expression in triple-negative and luminal subtypes. GSDMD, GSDME, and PJVK displayed high expression specifically in the luminal phenotype of breast cancer while being downregulated in Her2+ and triple-negative subtypes. The expression pattern of GSDMS was closely associated with distinct clinical features. Missense mutation, deletion mutation, amplification, and deep deletion primarily accounted for alterations observed in the genes encoding GSDMA-E and PJVK with change rates ranging from 0.9% to 19%. Survival analysis revealed that elevated expressions of both GSDMD and PJVK were correlated with improved prognosis among breast cancer patients. Furthermore, the members of the GSDM family demonstrated strong associations with immune-infiltrating cells within the of breast cancer. DNA methylation analysis indicated lower levels along with decreased methylation patterns for GSDMC, GSDMD, and PJVK in breast cancer tissues; conversely increased methylation was observed for both GSDMA and GSDME. Our study systematically elucidates the expression and prognostic significance of GSDMS in breast cancer, as well as the potential prognostic implications of GSDMD and PJVK in breast cancer. These findings provide valuable guidance for clinicians regarding drug utilization.
Positive pressure ventilator of a conventional type working in sets – analysis of the effectiveness of positioning methods
Authors: Kaczmarzyk Piotr , Noske Rafał , Bąk Damian , Krawiec Piotr , Ziegler Bartosz , Warguła Łukasz 
Published: February 2024

Abstract
The effectiveness of mechanical tactical ventilation during rescue and firefighting operations can be improved by multiplying the number of positive pressure ventilators. Such action can shorten the time of the operation, improve its execution, and reduce the energy consumed by the ventilators used during the operation. In order to determine the proper conditions for the two ventilators to work together, tests were conducted on their positioning relative to the doorway. These values were determined from the flow parameters (flow rate and static overpressure generated). A set of conventional rotor ventilators (each with an output of 4.4 kW) was tested. The article performs an analysis of the magnitude of flow parameters depending on the setting of the positive pressure ventilator. Proper positioning of the set of ventilators can increase the flow rate through the facility by up to 32% and the pressure by 50%. The analysis conducted in the article can be used as recommendations for rescue teams for the proper selection of the setting of the positive pressure ventilator during firefighting operations of internal fires.
Machine Learning Models identify Signature Genes as potential Biomarkers for Hypertrophic Cardiomyopathy from Williams Syndrome
Authors: Yu Hongxiao , Liu Xiping , Sun Manfang , Li Taole , Nie Zhihua 
Published: February 2024

Abstract

Background: Hypertrophic cardiomyopathy(HCM) is a complex genetic cardiovascular disease with the pathogenesis is still unclear. Williams syndrome(WS), an autosomal dominant systemic disorder with the phenotype of series congenital heart disease that caused by the missing of low-copy DNA elements. The association between the HCM and WS remains unrevealed. This study aimed to identify the WS-related genes from a special patient by using bioinformatics analysis to clarify insights into the diagnostic value in HCM.
Methods and Methods: We collected and summarized the clinical data of a young male patient with WS who initially experienced surgical repairing of coarctation of the aorta(CoA) in his infancy but developed HCM. Whole-Exome Sequencing(WES) data were obtained and intersected with the expression of HCM samples. Bioinformatics analysis, included the consensus cluster analysis, gene set enrichment analysis(GSEA), gene ontology and kyoto encyclopedia of genes and genomes(KEGG) analysis (GO-KEGG) and weight gene correlation analysis(WGCNA) was used to identify the differentially expressed genes(DEGs). Based on machine learning, we selected the characteristic signature genes and miRNA or transcription factor(TF) related networks as potential biomarkers for HCM.
Results: A total of 7569 and 3040 DEGs were identified between HCM and WS with control samples and 4 WS related genes(BCL7B, ELN, FZD9, NCF1) were sellected based on our patient. Subsequently, we classified the entire HCM cohort into two subtypes according to the target genes. Moreover,the application of GSEA, GO-KEGG and protein-protein interaction(PPI) network analysis were explored and obtained 22 hub genes with the intersection of clusters and WGCNA. According to the five machine algorithms, 4 features(ST8SIA5, RAP1GAP, PLAU, RGMA) were ascertained as the signatures to construct the HCM diagnostic model.
Conclusion: We developed diagnostic signatures to distinguish HCM based on our special patient with WS and the model had certain diagnostic and individual effects. This study sheds light on the potential genetic pathogenesis of HCM and may provide directions for drug screening and personalized therapy in the future.