bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combining Survival Analysis and Machine Learning for Mass Cancer Risk Prediction using EHR data
Authors: Philonenko Petr , Kokh Vladimir , Blinov Pavel 
Published: November 2023

Abstract
Purely medical cancer screening methods are often costly, time-consuming, and weakly applicable on a large scale. AdvancedArtificial Intelligence (AI) methods greatly help cancer detection but require specific or deep medical data. These aspects affectthe mass implementation of cancer screening methods. For these reasons, it is a disruptive change for healthcare to apply AImethods for mass personalized assessment of the cancer risk among patients based on the existing Electronic Health Records(EHR) volume. This paper presents a novel method for mass cancer risk prediction using EHR data. Among other methods, ourone stands out by the minimum data greedy policy, requiring only a history of medical service codes and diagnoses from EHR.We formulate the problem as a binary classification. This dataset contains 175 441 de-identified patients (2 861 diagnosed withcancer). As a baseline, we implement a solution based on a recurrent neural network (RNN) and pre-trained BERT. We proposea method that combines machine learning and survival analysis since these approaches are less computationally heavy, canbe combined into an ensemble (the Survival Ensemble), and can be reproduced in most medical institutions. We test theSurvival Ensemble in some studies. Firstly, we obtain a significant difference between values of the primary metric (AveragePrecision) with 22.8%±2.7% (ROC AUC 83.7%±1.7%, F1 17.8%±2.8%) for the Survival Ensemble versus 15.1%±2.6% (ROCAUC 84.9%±0.8%, F1 21.4%±3.1%) for the Baseline method. Secondly, the performance of the Survival Ensemble is alsoconfirmed during the ablation study. Thirdly, our method exceeds age baselines by a significant margin. Fourthly, in the blindretrospective out-of-time experiment, the proposed method is reliable in cancer patient detection (9 out of 100 selected). Suchresults exceed the estimates of medical screenings, e.g., the best Number Needed to Screen (9 out of 1000 screenings).
Mesenchymal stromal cells ameliorate hyperammonemia via IGF1-IGF1R- GLS2 axis inhibiting glutaminolysis in acute hepatic failure
Authors: Cheng Haiqin , Shi Yaqian , Li Xuewei , Jin Ning , Liang YuXiang , Liu Zhizhen , Xie Jun 
Published: November 2023

Abstract
Hyperammonemia is a pernicious and severe consequence of acute hepatic failure (AHF). While prior research suggested the potential of mesenchymal stromal cells (MSCs) in reducing blood ammonia levels, the underlying molecular mechanism remains unclear. This study utilized a AHF mouse model to investigate the impact of MSCs on hyperammonemia and its mechanism. The study showed that CCL4-induced ALF mice suffered from hyperammonemia. MSCs effectively reduce arterial ammonia levels by downregulating glutaminase2 (Gls2) and upregulating glutamine synthetase (GS), rather than through urea cycle. RFP-labeled MSCs were observed in hepatic sinusoid and co-localized with macrophages. Moreover, the MSC treatment group exhibited elevated expression of insulin-like growth factor 1 (IGF1) and its receptor (IGF1R) than the PBS treatment group. Furthermore, Inhibition of the IGF1-IGF1R axis attenuated the ammonia-lowing effect of MSCs. Notably, blocking IGF1-IGF1R axis could affect the MSCs’ inhibition effects on Gls2. The finding indicates that MSCs can mitigate hyperammonemia in AHF mice by suppressing glutaminolysis through IGF1-IGF1R axis, making them a promising resource for treating hyperammonemia in critical conditions.
Coping with extremes: the Rumen Transcriptome and Microbiome Co-regulate Plateau Adaptability of Xizang Goat
Authors: pan cheng , Li Haiyan , Mustafa Shehr Bano , Renqing Cuomu , Zhang Zhenzhen , Li Jingjing , Song Tianzeng , Wang Gaofu , Zhao Wangsheng 
Published: November 2023

Abstract
The interactions between the rumen flora and the host are crucial for the digestive and absorptive processes of ruminants, and they are heavily influenced by the climatic conditions of their habitat. Owing to the harsh conditions of the high-altitude habitat, little is known about how ruminants regulate the host transcriptome and the makeup of their rumen flora. Using the model species of goats, We examined the variations in the rumen flora, Transcriptome regulation, and climate of the environment between high altitude (Lhasa, Tibet; 3650 m) and low altitude (Chengdu, Sichuan, China; 500 m) goats. When compared to goats from low altitudes, the findings showed how hard the environmental climate was for Xizang goats. The results of 16 S rRNA sequencing revealed variations in the abundance, diversity, and composition of rumen flora. Papillibacter, Quinella, and Saccharofermentans were chosen as potential flora for the adaptation of Xizang goats to the harsh climate of the plateau by the Spearman correlation study of climate and flora. Based on Rumen transcriptome sequencing analysis, 244 genes were found to be differentially expressed between low-altitude goats and Xizang goats, with 127 genes showing significant up-regulation and 117 genes showing significant down-regulation. SLC26A9, GPX3, ARRDC4, and COX1 were identified as potential candidates for plateau adaptation in Xizang goats. Moreover, The metabolism of fatty acids, arachidonic acids, The pathway involving cytokines and their receptors could be essential for adaptation to plateau hypoxia and cold endurance. The expression of GPX3, a gene linked to plateau acclimatization in Xizang goats, was linked to the abundance of Anaerovibrio, and the expression of SLC26A9 was linked to the quantity of Selenomonas, according to ruminal flora and host Spearman correlation analysis. Our findings imply that in order to adapt to harsh plateau conditions, Xizang goats have evolved to maximize digestion and absorption as well as to have a rumen microbiota suitable for the composition of their diet.
Glucose-6-Phosphate Dehydrogenase Deficiency and Neonatal Indirect Hyperbilirubinemia: A Retrospective Cohort Study Among 40 305 Consecutively Born Babies.
Authors: albedaywi rajai , Salameh khalil , Abedin Sarfrazul , Viswanathan  , Khedr Abedalkhalik , Habboub Lina 
Published: November 2023

Abstract
Background and Objective: Glucose-6-phosphate dehydrogenase deficiency (G6PDD) being highly prevalent in the Middle East, the primary objective was to estimate the incidence of neonatal jaundice among G6PD-deficient neonates and to explore its association with various risk factors.
Methods: This retrospective cohort study includes 7 years data of neonates diagnosed with G6PDD between 1st January 2015, and 30 September 2022, from Al Wakra Hospital, HMC Qatar.
Results: Among the 40,305 total births, 1013 had G6PDD with an incidence of 2.51%. Of all the G6PDD babies, 24.6% (249/1013) received phototherapy and three babies required exchange transfusion. Statistically significant associations were noted between the need for phototherapy and gestational age, gestational age groups, birth weight, and birth weight groups, but logistic regression analysis showed significant association for phototherapy only with the gestational age group.
Conclusion: Universal screening and proper follow-up is essential for G6PDD as it plays crucial role in neonatal jaundice.
Probable Vogt-Koyanagi-Harada disease with diabetes retinopathy：A case report
Authors: Li Huan , Wang Wei , Li Zhiyong , Mao Ailing 
Published: November 2023

Abstract
Background: It is rare for a patient with bilateral retinal detachment and choroidal detachment , and he also with bilateral diabetes retinopathy (DR) is even more rare, whicn makes the condition more complicated.
Case presentation: This article reportes a patient with atypical Vogt-Koyanagi-Harada disease(VKH).The patient developed severe peripheral retinal detachment with choroidal detachment and white pompon-like opacity in the vitreous along with diabetic retinopathy.Finally we considered Probable VKH with DR, and as per the VKH treatment was given with good results.
Conclusions: VKH can coexist with DR, and the manifestations of VKH are diverse.Considering for VKH, it is necessary to give early, aggressive and long-term treatment with high-dose corticosteroids ，DR will make the treatment more complicated, so immunosuppressants should be combined.
Determining occupational exposure to inhalable wood dust in forestry operation
Authors: Dimou Vasiliki , Tioutiountzi Theodora , Malesios Chrisovalantis 
Published: November 2023

Abstract
In the present study, occupational exposure to softwood (Pinus brutia) and hardwood (Fagus sylvatica and Quercus petraea) wood dust was determined during forestry work in a timber yard. In the determination of inhalable wood dust, three operating parameters of the chainsaw were taken into account. The first operating parameter was the chainsaw operating under normal conditions, which means proper maintenance and infrequent throttle pressing. Measurements under normal conditions were referred to as reference measurements and were used for comparison. The experiment continued with measurements of wood dust concentration under two other chainsaw operating parameters, namely, improper chainsaw maintenance and infrequent throttle pressing. The determination of inhalable wood dust concentrations from the ambient air was performed using the Inhalable Organic Matter (IOM) sampler, manufactured by SKC Button Sampler (Dorset, United Kingdom). Out of a total of 108 concentration values of inhalable wood dust, 44 (40.74%) showed concentrations greater than 3.00 mg·m− 3, while in 10 (9.26%) values, the dust concentration exceeded 5 mg·m− 3. The eight-hour time-weighted average exposure to wood dust ranged from 0.99 mg·m− 3 to 12.52 mg·m− 3, with an average of 4.22 mg·m− 3. The results indicated that the increase in wood dust concentration is dependent on improper chainsaw maintenance, while infrequent throttle pressing reduces dust concentration levels. Additionally, an increase in wood dust concentration was observed in species with thick bark (Pinus brutia and Quercus petraea).
Causal Relationship Between Systemic Circulatory Inflammatory Regulators and Intervertebral Disc Degeneration: A Bidirectional Two-Sample Mendelian Randomization Study
Authors: Chen Zi-Xuan , Xu Bo , Huang Ze-Ling , Liu Yu-Jiang , Shen Xiao-Feng , Lu Bin-Jie , Lin Jun , Zhang Xian-Da , Li Yu-Wei 
Published: November 2023

Abstract
Background
In the context of the development of Intervertebral Disc Degeneration (IDD), inflammatory mediators play a pivotal role. Nevertheless, due to the influence of the inflammatory microenvironment, the causal relationship between specific inflammatory mediators and the development of IDD remains uncertain.
Methods
We utilized genetic data concerning systemic circulating inflammatory regulators obtained from a Genome-Wide Association Study (GWAS) analyzing 41 serum cytokines in a cohort of 8,293 individuals from Finland. The genetic data for IDD was derived from the most recent Genome-Wide Association Study summary statistics conducted within the FinnGen consortium, encompassing 37,636 IDD cases and 270,964 controls. Our analysis employed bidirectional two-sample Mendelian randomization (MR) techniques, which included several MR methods such as MR Egger, weighted median, inverse variance weighted (IVW), weighted mode, and simple mode. Additionally, the MR-PRESSO method was employed to identify horizontal pleiotropy, heterogeneity was quantified using the Cochran Q statistic, and MR Egger intercept analysis was performed to assess pleiotropy.
Results
We established causal relationships between three specific inflammatory factors and IDD. Elevated levels of MIP-1β [OR = 0.956, 95% CI: -0.08 to -0.006; P = 0.02] and IFN-G [OR = 0.915, 95% CI: -0.16 to -0.02; P = 0.01] expression were associated with a reduced risk of IDD. Conversely, genetic susceptibility to IDD was linked to a decrease in IL13 levels [OR = 0.967, 95% CI: -0.063 to -0.004; P = 0.03].
Conclusion
In this study, we have identified inflammatory factors that exhibit a causal relationship with the onset and progression of IDD, as supported by genetic predictions.
Added Value of Frequency of Imaging Markers for Prediction of Outcome after Intracerebral Hemorrhage: A Secondary Analysis of Existing Data
Authors: Kuang Lianghong , Fei Shinuan , Zhou Hang , Huang Le , Guo Cailian , Cheng Jun , Guo Wenmin , Ye Yu , Xiong Hui , Wang Rujia , Zou Liwei , Tang Dongfang , Zhang Ji , Qiu Xiaoming , Yu Yongqiang , Song Lei 
Published: November 2023

Abstract
Background:
Frequency of imaging markers (FIM) has been identified as an independent predictor of hematoma expansion (HE) in patients with intracerebral hemorrhage (ICH), but its impact on clinical outcome of ICH is yet to be determined. The aim of the present study was to investigate this association.
Methods:
This study was a secondary analysis of our prior research. The data for this study were derived from six retrospective cohorts of ICH from January 2018 to August 2022. FIM was defined as the ratio of the number of imaging markers (i.e., hypodensities, blend sign, and island sign) to onset-to-neuroimaging time. Poor outcome was defined as modified Rankin Scale of 3–6 at 3 months.
Results:
1,253 patients with ICH were included for final analysis. Among those with available follow-up results, 713 (56.90%) exhibited a poor neurologic outcome at 3 months. In a univariate analysis, FIM was associated with poor outcome (odds ratio [OR] = 4.36; 95% confidence interval [CI] = 3.31–5.74; p < 0.001). After adjustment for age, Glasgow coma scale score, systolic blood pressure, hematoma volume, and intraventricular hemorrhage, FIM was still an independent predictor of worse prognosis (OR = 3.26; 95% CI = 2.37–4.48; p < 0.001). Based on receiver operating characteristic curve analysis, a cut-off value of 0.28 for FIM was associated with 0.68 sensitivity, 0.69 specificity, 0.74 positive predictive value, 0.62 negative predictive value, and 0.72 area under the curve for the diagnosis of poor outcome.
Conclusions:
The metric of FIM is associated with 3-month poor outcome after ICH. The novel marker that helps identify patients at risk for worse outcome would be a valuable addition to the clinical management of ICH.
Chemical Analysis, Nutraceuticals, and Infra-Red Characterization of Cassia alata Leaves
Authors: Adebayo O.R. , Oyetade O.A. , Odusina A.O. 
Published: November 2023

Abstract
This Cassia alata leaf is an important medicinal leaf used in folk medicine in the treatment of various skin infections such as ringworm and other fungal infections of the skin. The study was carried out to assess the proximate compositions (%) ash contains (8.998), moisture (2.615), crude fat ( 10.557), crude fiber (14.443), protein (12.023), and carbohydrate contents (51.364), mineral elements (mg/kg): magnesium (115.000), potassium (86.900), calcium (72.800), sodium (25.000), iron (9.000), zinc (3.900) and copper (0.860), vitamins (mg/kg): vitamin C (1.904), vitamin B1, (0.527) and vitamin B2, (0.312), phytochemical: Total phenol (20.804), saponins (1.357), alkaloids (14.542), glycosides (9.174) and tannins (2.018) using various analytical standard techniques. The study appraised the impact of the functional groups of the sample using Perkin infra-red spectroscopy to distinct fingerprint regions such as ( 3408.00cm- 1) phenol, (2925.83 and 2365.00 cm- 1) phosphine, (1648.35 cm- 1) carbonyl, alkene, and aromatic ring, (1407.30 cm- 1) phosphate compound, (1252.47 cm- 1) arylethers and (1063.00 cm- 1) thiocarbonyl. The study revealed the leaves to be a potential source of nutrition, minerals, and confirmations of secondary metabolites likewise the presence of functional groups which is a source of information about the leaves in the formulation of pharmaceutical drugs.
SLIM Brain Database: A Multimodal Image Database of In-vivo Human Brains for Tumour Detection
Authors: Martín-Pérez Alberto , Villa Manuel , Olmeda Gonzalo Rosa , Sancho Jaime , Vazquez Guillermo , Urbanos Gemma , de Ternero Alejandro Martinez , Chavarrías Miguel , Jimenez-Roldan Luis , Perez-Nuñez Angel , Lagares Alfonso , Juarez Eduardo , Sanz César 
Published: November 2023

Abstract
Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumors. Although existing HSI databases of in-vivo human brains are available, they present two main deficiencies. Firstly, the amount of labeled data is scarce and secondly, 3D-tissue information is unavailable. To address both issues, we present the SLIM Brain database, a multimodal image database of in-vivo human brains which provides HS brain tissue data within the 400-1000 nm spectrum, as well as RGB, depth and multi-view images. Two HS cameras, two depth cameras and different RGB sensors were used to capture images and videos from 193 patients. All data in the SLIM Brain database can be used in a variety of ways, for example to train ML models with more than 1 million HS pixels available and labeled by neurosurgeons, to reconstruct 3D scenes or to visualize RGB brain images with different pathologies, offering unprecedented flexibility for both the medical and engineering communities
Coupled variation of pressure and temperature for methane adsorption in coal seam under three initial pressures
Authors: Geng Jiabo , Liu CunYang , Zhong Hong , Zhang Dongming , Tang Shibin , Li Xiaoshuang 
Published: November 2023

Abstract
The methane adsorption test of coal under three initial pressures of 0.50MPa,0.75MPa and 1.00MPa was carried out using the coal bed adsorption simulation test system, and the change law of CH4 gas pressure and coal bed temperature under three initial pressures was studied. The distribution law of methane gas pressure and coal seam temperature on the inner plane of coal seam and the coupling relationship between them are studied by interpolating and plotting the collected data with MATLAB software. The results show that the methane pressure decreases with time, the coal seam temperature increases with time, and there is no linear correlation between the decrease of pressure and the increase of temperature. When coal is adsorbed, the pressure and temperature in the central region are lower, and the temperature in the region with high pressure is also higher, and the distribution of pressure and temperature is synchronized. The higher the initial pressure, the higher the temperature of the coal seam, the more methane adsorbed by the coal, but the strength of the adsorption capacity of the coal can not be measured simply by the amplitude of the pressure drop. The research content can be used as the basis for further investigation of methane occurrence rule in coal seam and evaluation of methane adsorption capacity of coal.
Prevalence, risk factors and liver-related complications of nonalcoholic fatty liver disease in Ethiopian HIV-infected patients: a cross-sectional study in a tertiary care center
Authors: Birhanu Yohannes , Demissie Zekewos , Amogne Wondwossen 
Published: November 2023

Abstract

Background
Ethiopia is one of the countries with high burden of HIV/AIDS. Although the number of fatalities from AIDS-defining illnesses has dramatically decreased, the incidence of non-AIDS defining comorbidities is increasing. Non-alcoholic fatty liver disease (NAFLD), in particular, continues to be one of the main causes of morbidity and mortality in this patient population. Though a few studies have tried to determine the prevalence of metabolic syndrome in Ethiopian patients with HIV infection, the frequency, risk factors, and potential liver-related outcomes of NAFLD among Ethiopian HIV patients have not been adequately studied.
Method
A cross-sectional study aimed at determining the prevalence, associated risk factors, and possible liver-related complications of NAFLD in Ethiopian HIV infected patients was conducted at the HIV clinic of Tikur Anbessa Specialized hospital from April 2020 to December 2020 G.C. A systematic random sampling method was used to recruit participants during their clinic visit. The final analysis included 110 patients, and the data was analyzed using SPSS version 26.0.
Results
The study found a 21.8% prevalence of NAFLD using ultrasound examination. 66.7% of participants with disease duration of more than 10 years had NAFLD; 83.3% of patients with NAFLD had a baseline CD4 count of less than 200; and 58.3% of patients had a BMI of ≥ 25 kg/m2. Liver fibrosis was detected in 5.4% patients using clinical the clinical scores, APRI and FIB-4. The study found significantly association between NAFLD and baseline CD4 count < 200 and BMI ≥ 25kg/m2 in HIV patients.
Conclusions
In comparison to earlier African research, the current study discovered a higher frequency of NAFLD in HIV patients from Ethiopia. Institutions and hospitals should provide better diagnostic techniques for the early diagnosis of steatosis and fibrosis in light of the worldwide rise in the prevalence of NAFLD.
Assessment of the impact of organic matter discharges from a nuclear power plant with a recirculating cooling water system
Authors: Kuznietsov Pavlo , Biedunkova Olha 
Published: November 2023

Abstract
Nuclear power plants (NPPs) use large amounts of water for cooling, recirculating cooling water systems (RCWS) take water and discharge it to the environment, and concentrate natural constituents and introduce chemicals used to maintain the chemistry of the NPP. Changes in organic matter (OM) content can be caused by natural processes as well as human activities, natural OM content shows seasonal patterns, high OM loads can lead to microbial blooms which further affect water quality. The subject of the research is OM discharges with return water from RCWS NPPs. The research was carried out using the example of the RCWS Rivne NPP and the water of the Styr River, from which the Rivne NPP uses water. The purpose of the research is to study OM discharges, environmental assessment of the impact on the surface water of the Styr River to water discharges of the Rivne NPP. The relevance of the research lies in the assessment of the non-radiative environmental impact of the NPP, with the establishment of a correlation between the OM content and the technological modes of operation of the Rivne NPP. The novelty of the research is the multicomponent evaluation of the OM content by various indicators of TOC, COD and BOD5 control and determination of the dynamics of their changes with the establishment of variability factors. The practical value of the study lies in the possibility of applying the methods to other power plants using RCWS.