bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic Exploration of Metabolism-Related Genes in Hepatocellular Carcinoma and Pan-Cancer
Authors: Huang Tai , Liu Ge-Liang , Mo Zhuang , Wang Qi , Wang Can , Mu Jun-Fang , Yu Qi , He Pei-Feng 
Published: December 2023

Abstract
Background
The aim of this study is to delve into the potential value of metabolism-related genes in the prognosis assessment of cancer. By analyzing transcriptomics data and clinical information of various types of cancer from public databases, we screen out metabolism-related genes associated with prognosis and construct a prognostic model, offering new solutions for the prognosis assessment and personalized treatment of cancer patients.
Methods
Initially, we obtain metabolomics data and clinical information of various types of cancer from public databases (such as TCGA, GTEx, UCSC), including gene expression data, patient survival information, etc. Subsequently, we acquire a list of metabolism-related genes from the KEGG database and match it with the gene expression data in cancer samples to screen out differentially expressed metabolism-related genes. We then use univariate Cox regression analysis to analyze prognosis-related genes and employ LASSO and random survival forest algorithms for feature selection, choosing the most important metabolic features. Based on the selected metabolic features, we construct a prognostic model using various machine learning algorithms, including The NonLinear CoxPH, Extra Survival Trees, etc., and optimize the parameters. Finally, we apply the constructed pan-cancer prognostic model to datasets of other types of cancer for validation and performance evaluation.
Results
In HCC, we identified 407 differentially expressed genes related to metabolism. After Cox testing and prognosis-related analysis, we screened out 561 differentially expressed genes related to prognosis, and used random forest and LASSO regression algorithms to select the most important features, ultimately obtaining 7 metabolic features with significant predictive power. Subsequently, we reconstructed the random survival forest model based on these 7 metabolic features and verified the predictive performance of the model by drawing ROC curves (1–5 year AUC value > 0.89). The application results of the prognostic model in pan-cancer showed that it exhibited good predictive effects in 10 of the 33 types of cancer in the TCGA database (C-index > 0.75, IBS < 0.25), proving the potential value of metabolic features as prognostic markers in cancer.
Conclusion
This study constructs an effective pan-cancer prognostic model through comprehensive analysis of metabolomics data and clinical information in public databases, which can predict the prognosis of cancer patients. At the same time, we observed variations in several metabolic features among different types of cancer, offering new insights into predicting molecular subtypes and responses to diverse treatment plans. The findings from this study serve as a reference for individualized treatment decisions and precision medicine for cancer patients, while also contributing novel ideas and methods to advance the field of metabolomics.
The SARS-CoV-2 infection (COVID-19) era impact on incidence of sudden deaths due to Myocardial Infarction (Heart Attack) in States and Union Territories of India- A cross-sectional comparative study (2018-2022)
Authors: Kumar Piyush , Anupama Advocate 
Published: December 2023

Abstract
Despite modern cardiovascular drugs, latest advanced treatment protocols, several decades of research like longitudinal cohort study of Framingham (ongoing cardiovascular study of residents of the city of Framingham, Massachusetts), as well as various strategies to prevent and control mortality due to myocardial infarction (popularly known as Heart Attack), global improvement against cardiovascular disease (CVD) is flat-lining. COVID-19 affects the cardiovascular system leading to myocardial damage and dysfunction mainly via (ACE-2) the Angiotensin-converting enzyme 2 receptor. The cardiovascular complications of acute COVID-19 are well described in several research studies, but the post- COVID-19 cardiovascular manifestations particularly mortality due to myocardial infarction have not yet been comprehensively evaluated or characterized in research studies. This study aimed to assess the impact of COVID-19 on annual incidence (new cases number only) of mortality due to MI in different states and union territories (UT) of India. This study is cross-sectional, quantitative, and retrospective in nature. There is an overall increase of 11.02 percent in new MI cases related mortality during the COVID-19 period. This study revealed that there is 25.80 percent increase in total number of new MI cases related mortality in 2022 in comparison to pre-COVID-19 year of 2018. The Male-Sudden death due to Myocardial Infarction increased during COVID-19 year 2022 by 26.71 percent in comparison to 2018 pre- COVID-19 year. Percent wise top 3 states reporting sudden death due to MI in males include Maharashtra, Kerala and Gujarat. This study revealed that there is 26.71 percent increase in total number of new MI cases related mortality in males in 2022 in comparison to pre-COVID-19 year of 2018. There is an overall increase of 11.24 percent in new MI cases related mortality in males during the COVID-19 period of this study. The Sudden death due to Myocardial Infarction in female increased by 20.17 percent during COVID-19 year 2022 in comparison to 2018 pre- COVID-19 year.
Genomic Perspectives on Growth and Disease Resistance in Gilthead Sea Bream (Sparus aurata): A Comprehensive Exploration of Heritability Estimates and Genetic Correlations
Authors: Malik Zainab , Hashim Umer 
Published: December 2023

Abstract
The study investigates the genetic factors associated with lymphocystis disease virus (LCDV) susceptibility and growth in gilthead sea bream aquaculture, considering two fish batches (batch 1 and batch 2). All specimens exhibited LCDV lesions at the time of sampling. Batch 1 displayed higher lesion severity and affected surface area compared to batch 2. The caudal region was least affected in both batches. Batch 1 also had higher LCDV DNA copies in the liver, positively correlated with severity index. Heritabilities for weight, length, and viral DNA copies were determined, showing low heritability for viral DNA copies in both batches. Selective breeding for LCDV susceptibility and growth is feasible in sea bream juveniles, with genetic correlations indicating the possibility, though estimates vary with age. This information is valuable for designing selective breeding programs in sea bream.
Molybdenum isotopic fractionation in the Panzhihua mafic layered intrusion in the Emeishan large igneous province, southwest China
Authors: Zhang Le , Li Jie , Zhang Yan , Peng Bing-Yu , Wang Zhi-Bing , Ren Zhong-Yuan 
Published: December 2023

Abstract
The large Mo isotopic fractionations between different geological reservoirs make this isotopic system a potentially useful tool for constraining the origins of magmatism. However, the effect of magmatic differentiation on Mo isotopes is still controversial. In this study, we obtained Mo isotope data for the Panzhihua gabbroic intrusion (i.e., including mineral separates of clinopyroxene, plagioclase, magnetite, and ilmenite). The whole-rock samples and mineral separates exhibit large Mo isotopic fractionations with δ98/95Mo values as follows: magnetite (–0.73‰ to –0.32‰) &lt; clinopyroxene (–0.32‰ to –0.10‰) &lt; ilmenite (0.06‰ to 0.36‰) &lt; plagioclase (0.33‰ to 0.83‰). Iron-Ti oxides have Mo contents that are one order of magnitude higher than those of clinopyroxene and plagioclase. Mass balance calculations based on Mo isotopes and contents are consistent with an accumulated origin for the Panzhihua intrusion. Rayleigh fractionation modeling shows that the removal of magnetite and ilmenite results in significant Mo isotopic fractionation in the residual magma. Due to the low Mo contents of clinopyroxene and plagioclase, Mo isotopes are not significantly fractionated by the removal of these minerals. Therefore, our study highlights that fractionation of Fe-Ti oxides can cause considerable Mo isotopic fractionation; consequently, caution is needed when using Mo isotopes to infer magma origins.
Assessing the morphological changes on the operation performance of canal: a case study of the Suez Irrigation Canal, Egypt
Authors: Zayed Mahmoud , Abdelmoaty Mohamed S. 
Published: December 2023

Abstract

Morphological changes along the cross-section of canals affect the canal's performance to fulfill the desired operations. The Suez Irrigation Canal is a vital canal that provides the surrounding region with drinking water via about 21 drinking water treatment plants and serves about 140,000 feddan of irrigated land. However, the actual canal capacity is incapacitate to convey sufficient water for drinking and irrigation necessities. This research particularly evaluates the morphological changes in the Suez Canal's performance and increasing its ability to transport the required discharges with adequate operations. For this purpose, extensive field measurements and a numerical model (SOBEK 1D) were adapted to evaluate the canal capacity and operation under the required flow conditions. In total, 890 canal cross-sections were surveyed and 16-flow discharge measurements were considered to identify the actual geometric and hydraulic characteristics. The SOBEK 1D model was used to simulate different scenarios of canal cross-sections under changing flow conditions. The results showed that the actual canal mainly suffered from sedimentations that reduced the canal's capacity to transport the design flow discharges. In summary, rehabilitation of the canal is intensely recommended, in addition to the planned and sufficient clearance activatesof the canal to keep effective operations.
GDF-10 Induces an Inhibitory Effect on Epithelial-Mesenchymal Transition of
Laryngeal Cancer via LPR4
Authors: Kan Xuan , Ai Li , Guan Ruidi , Hao Jianwei , Sun Yanan , Xiu Wei 
Published: December 2023

Background:
Growth differentiation factor-10 (GDF-10), a member of the TGF-β superfamily,
plays a crucial role in cell proliferation and differentiation. In some tumors, GDF-10 can act as a tumor suppressor
to inhibit tumor progression, but its role in posterior squamous cell carcinoma has not been reported
yet.

Methods:
The aim of this study was to investigate the effect of GDF-10 on the epithelial-mesenchymal transition
of laryngeal squamous cell carcinoma, and to provide new ideas for future targets in the treatment of laryngeal
squamous carcinoma.

Results:
The effect of GDF-10 on tumor growth was detected; bioinformatics analysis was performed to predict
the downstream targets of GDF-10, and RT-PCR and western blot were performed to detect the expression
levels of target genes and proteins, respectively.

Conclusion:
Our findings support that GDF-10 can inhibit the proliferation, migration, and invasion, and promote
apoptosis of laryngeal carcinoma AMC-HN-8 cells. GDF-10 inhibits the EMT of laryngeal carcinoma
through LRP4 and thus inhibits the progression of laryngeal carcinoma.
Pre-implantation Genetic Testing in Inherited Metabolic Diseases? Stateof-
the-art and current challenges
Authors: Capela Ana Miguel , Cunha Ana , Fortuna Ana Maria , Falcão Reis Cláudia 
Published: December 2023

Introduction::
Inborn errors of metabolism (IEM) are genetic diseases involving congenital
disorders of enzyme activities. Most follow Mendelian autosomal recessive inheritance
and few follow mitochondrial inheritance. In many cases, after the birth of an affected child
parents discover that have been the carriers for the condition and worry about the risk of recurrence
in future offspring. Preimplantation genetic testing (PGT) can analyze embryos before
their transfer to the uterus and prevent the transmission of hereditary conditions to descendants,
however this procedure is of limited value in mtDNA conditions.

Methods::
The list of diseases currently approved for PGT were reviewed. The process for eligibility,
was as for the Comissão Nacional Procriação Medicamente Assistida (CNPMA), of
Portugal (PT). Review of international practices for Assisted Reproductive Techniques (ART)
in IEM was carried out.

Results::
As of 07.2022, 23 IEM diseases associated with deleterious variants in nDNA were
approved for PGT in PT. Couples at risk for conditions not included in the list can solicit an
evaluation from an expert committee, after a medical genetics consultation. To qualify for approval,
diseases must cause significant suffering and/or premature death. Due to a greater number
of solicitations many more IEM conditions have been approved for PGT across the world.
ART for mtDNA is not available in PT. International expert centers include PGT for specific
well documented variants and mitochondrial donation.

Conclusion::
PGT is a reliable approach to reduce the risk of transmission of a genetic condition
to the offspring. The list of IEM disorders currently accepted for this technique in Portugal are
small, but it is expanding, as many more diseases fit the necessary criteria. While appealing in
theory, low success rates coupled with limited availability can be discouraging for patients. Genetic
counselling is of paramount importance after the diagnosis of IEM diseases. It is important
for both clinicians and patients to be made aware of the available reproductive options and their
limitations.
Relationship between Illness Perception and Perceived Social Support and Satisfaction with Nursing Care Quality among Patients with Coronary Heart Disease in Jordan
Authors: Al-Zaru Ibtisam Moawiah , Al-Dwairi Hussein Rayid 
Published: December 2023

Background:
Research has shown that illness perception, perceived social support, and patient satisfaction play a crucial role in the etiology and progression of disease and general health outcome but no previous study correlated the illness perception and perceived social support to patient satisfaction of nursing care. The purpose of this study is to determine the relationship between illness perception and perceived social support, patient satisfaction with quality of nursing care among coronary heart disease patients in Jordan.

Methods:
A descriptive, cross-sectional, and correlational design was used. A convenience sample of 275 patients with coronary heart disease was recruited from inpatient cardiac units in a university-affiliated hospital in Northern Jordan.

Results:
The overall means of illness perception and perceived social support were at a moderate level (44.04 (SD = 11.52), and 56.91 (SD = 19.91), respectively). The study revealed good to very good patient satisfaction with nursing care (3.44/5 (SD =.74)). Patient satisfaction was negatively correlated with illness perception and positively correlated with perceived social support. Illness perception was negatively correlated with perceived social support. Furthermore, the results from multiple linear regression analyses revealed that personal and health-related characteristics, illness perception, and perceived social support account for 64% of the variance in Patient Satisfaction with Nursing Care Quality (p-value < .05).

Conclusion:
The present study suggested that perceived social support is a significant predictor of patient satisfaction with nursing care. To improve patient outcomes, nurses should continuously assess the level of illness perception, social support, and satisfaction with nursing care quality for patients with coronary heart disease and offer an intervention based on these perceptions.
Profile of Preeclampsia Patients with Aggravating Factors: A Retrospective Study
Authors: Adjie J.M. Seno , Angkawijaya Cindy 
Published: December 2023

Introduction:
Preeclampsia contributes to 9-26% of maternal deaths in developing countries.

Methods:
This study was conducted to present the profile of preeclampsia patients with aggravating factors. A retrospective study was performed on preeclampsia patients admitted to the Obstetrics and Gynecology Department of Cipto Mangunkusumo Hospital from January to June 2021. A total of 109 participants who met the specified criteria were included in this study. The prevalence of pre-eclampsia was 12.9%. The common aggravating factors were multiple pregnancies (10.1%), chronic hypertension (5.5%), and diabetes (5.5%). Two subjects (1.8%) had eclampsia, and 13 (11.9%) were diagnosed with HELLP syndrome.

Results:
Most subjects gave birth via caesarean section (79.8%). More than 50% gave birth at 35 years of age, nullipara, with a Body Mass Index (BMI) > 30 kg/m2, multiple pregnancies, chronic hypertension, and type 2 diabetes mellitus.

Conclusion:
Outcomes of studies that have been conducted include survival, complications, eclampsia, HELLP syndrome, caesarean delivery, delivery at < 34 weeks GA, and prolonged hospitalization.
Impact Statement
• What is already known about this topic?
• What did the results of this study add?
• What are the implications of these findings for clinical practice and further research?
Preparation of Carbon Nanotubes-Supported CuMn2O4
Nanocomposites for Highly Efficient Degradation of Methylene
Blue Dye
Authors: Chen Xuyi , Chen Tianlu , Fathy Nady , Tao Yousheng 
Published: December 2023

Background:
Waste water containing dyes causes serious environmental problems in
both aesthetic and toxicological aspects. Although physicochemical and biological treatment
processes have been investigated, functional materials are highly demanded for improving the
removal efficiency of dye from wastewater

Objective:
To synthesize a heterojunction nanocomposite of CuMn2O4/carbon nanotubes
(CNTs) with outstanding catalytic performance for the effective degradation of methylene blue
(MB) dye.

Methods:
Copper manganese oxide-carbon nanotubes (CuMn2O4/CNTs) nanocomposite was
prepared by a solvothermal method. The structure and morphology of the samples were characterized
with X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), transmission
electron microscopic (TEM), and nitrogen adsorption/desorption on the samples at 77 K. The
degradation of methylene blue dye was studied using the prepared nanocomposite as a catalyst.

Results:
CuMn2O4 of small particles was loaded on CNTs, forming a porous structure with a
specific surface area of 43.5 m2/g and a total pore volume of 0.17 cm3/g. The optimum conditions
for achieving full breakdown in 10 minutes are 1g/L of catalyst dosage and a range of initial
concentrations at 50-100 mg/L of MB dye at pH 4.

Conclusion:
The synthesized CuMn2O4/CNTs nanocomposite exhibited a good prospect as catalyst
materials for the decontamination of wastewater polluted with dyes.
Machine Learning and Symptom Patterns in Degenerative Cervical Myelopathy: Web-Based Survey Study
Authors: Touzet Alvaro Yanez , Rujeedawa Tanzil , Munro Colin , Margetis Konstantinos , Davies Benjamin M 
Published: December 2023

Background
Degenerative cervical myelopathy (DCM), a progressive spinal cord injury caused by spinal cord compression from degenerative pathology, often presents with neck pain, sensorimotor dysfunction in the upper or lower limbs, gait disturbance, and bladder or bowel dysfunction. Its symptomatology is very heterogeneous, making early detection as well as the measurement or understanding of the underlying factors and their consequences challenging. Increasingly, evidence suggests that DCM may consist of subgroups of the disease, which are yet to be defined.

Objective
This study aimed to explore whether machine learning can identify clinically meaningful groups of patients based solely on clinical features.

Methods
A survey was conducted wherein participants were asked to specify the clinical features they had experienced, their principal presenting complaint, and time to diagnosis as well as demographic information, including disease severity, age, and sex. K-means clustering was used to divide respondents into clusters according to their clinical features using the Euclidean distance measure and the Hartigan-Wong algorithm. The clinical significance of groups was subsequently explored by comparing their time to presentation, time with disease severity, and other demographics.

Results
After a review of both ancillary and cluster data, it was determined by consensus that the optimal number of DCM response groups was 3. In Cluster 1, there were 40 respondents, and the ratio of male to female participants was 13:21. In Cluster 2, there were 92 respondents, with a male to female participant ratio of 27:65. Cluster 3 had 57 respondents, with a male to female participant ratio of 9:48. A total of 6 people did not report biological sex in Cluster 1. The mean age in this Cluster was 56.2 (SD 10.5) years; in Cluster 2, it was 54.7 (SD 9.63) years; and in Cluster 3, it was 51.8 (SD 8.4) years. Patients across clusters significantly differed in the total number of clinical features reported, with more clinical features in Cluster 3 and the least clinical features in Cluster 1 (Kruskal-Wallis rank sum test: χ22=159.46; P<.001). There was no relationship between the pattern of clinical features and severity. There were also no differences between clusters regarding time since diagnosis and time with DCM.

Conclusions
Using machine learning and patient-reported experience, 3 groups of patients with DCM were defined, which were different in the number of clinical features but not in the severity of DCM or time with DCM. Although a clearer biological basis for the clusters may have been missed, the findings are consistent with the emerging observation that DCM is a heterogeneous disease, difficult to diagnose or stratify. There is a place for machine learning methods to efficiently assist with pattern recognition. However, the challenge lies in creating quality data sets necessary to derive benefit from such approaches.
Pengaruh Gaya Hidup, Promosi dan Keamanan Transaksi terhadap Keputusan Penggunaan Dompet Digital pada Generasi Z di Kabupaten Tabanan
Authors: Putra Galang Pratama , Julianto I Putu 
Published: December 2023

Abstract
This study aims to examine the effect of lifestyle, promotion, and transaction security on the decision to use digital wallets in generation Z in the Tabanan Regency area. The research design used in this study used quantitative methods. The subjects in this study were Generation Z in Tabanan Regency, aged 20-24 years in 2022, and the objects in this study were lifestyle, promotion, transaction security and decisions to use digital wallets. The total population used is 395 respondents. The instrument used in data collection is a questionnaire, and the data analysis technique used is multiple linear regression analysis with the help of the SPSS 25 program. The results of this study are (1) Lifestyle has an influence on decisions to use digital wallets. (2) Promotion has an influence on the decision to use digital wallets. And (3) Transaction Security has an influence on the decision to use digital wallets.
Keywords: lifestyle, promotion, transaction security, decision to use digital wallet