bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preoperative eGFR can predict short-term death and hospital stay in patients with acute aortic dissection
Authors: Kong biao , zhao long , zhu qianqian , shen dongli 
Published: September 2023

Abstract
Background
Acute aortic dissection (AAD) is a life-threatening disease and requires urgent treatment. We assessed the relationship between preoperative eGFR in patients with acute aortic dissection and short-term death and hospital stay.
Methods
Patients were categorized based on the eGFR. Logistic regression analysis was performed to assess whether the eGFR was a risk factor for 7-day,28-day, and 60-day mortality. The Kaplan-Meier survival curve was used to analyze the relationship between the eGFR and the 7-day, 28-day, and 60-day survival rates in AAD.
Results
A total of 122 patients with AAD were enrolled. There were 94 males (77%), with a mean age of 57.75 ± 13.52 years. The total mortality amounted to 23/122 patients (18.9%): 18 (14.8%) patients died within 7 days and 23 patients died within 60 days. The multiple logistic regression analysis showed eGFR [HR = 0.284, 95% CI (0.103-0781), P = 0.015] and MBP [HR = 0.165, 95% CI (0.051-0533), P = 0.003] were independent risk factors for 60-day mortality. The correlation analysis showed that the levels of eGFR are inversely proportional to the length of hospital stay (R2 = 0.209, P = 0.039). The Cox regression analysis showed that eGFR [HR = 0.264, 95% CI (0.086–0.809), P = 0.020], BMI [HR = 3.178, 95% CI (1.095–9.225), P = 0.033], treatment methods [HR = 49.776, 95% CI (5.915–418.880), P < 0.001] are associated with the length of hospital stay.
Conclusions
Lower preoperative eGFR is associated with higher 7-days,28-days, and 60-day death and the length of hospital stay in AAD patients. By improving renal perfusion and maintaining the stability of eGFR, the prognosis of these patients may be enhanced.
Study on the lignin-derived sp2 -sp3 hybrid hard carbon materials and the feasibility for industrial production
Authors: Long Si-Yu , Liu Jin-Lei , Xian Xue-Quan , Zhou Ling-Qiang , Lv Wen-Da , Tang Pei-Duo , Du Qi-Shi 
Published: September 2023

Abstract
Hard carbon has been widly used in anode of lithium/sodium ion battery, electrode of supercapacitor, and carbon molecular sieve for CO2 capture. In this study the lignin derived hard carbon products are investigated, and the conclusions are abstracted as follows. (1) The lignin derived hard carbon products consist of microcrystal units of sp2 graphene fragments, jointed by sp3 carbon atoms and forming sp2-sp3 hybrid hard carbon family. (2) From the lignin precursor to the sp2-sp3 hybrid hard carbon products, most carbon atoms retain their original electron configurations (sp2 or sp3) and keep their composition in lignin. (3) The architectures of lignin-derived hard carbon materials are closely dependent on the forms of their lignin precursors, and could be preformed by different pretreatment techniques. (4) The carbonization of lignin precursors follows the mechanism “carbonization in situ and recombination nearby”. (5) Due to the high carbon ratio and abundant active functional groups in lignin, new activation techniques could be developed for control of pore size and pore volume. In general lignin is an excellent raw material for sp2-sp3 hybrid hard carbon products, a green and sustainable alternative resource for phenolic resin, and industrial production for lignin derived hard carbon products would be feasible.
Predictive Significance of Glycolysis-Associated lncRNA Profiles in Colorectal Cancer Progression
Authors: Xu Chenxin , Peng Yurui , Zhang Quanzheng , Wang Zheng , Liu Yanjun , Mao Rui , Li Ming 
Published: September 2023

Abstract

Background
The Warburg effect constitutes a signature characteristic of colorectal cancer (CRC). Although there have been extensive investigations in the past, the implications of long non-coding RNAs (lncRNAs) in modulating the Warburg effect are still not fully elucidated. Our research primarily focuses on uncovering lncRNAs that potentially regulate the Warburg effect by acting as competing endogenous RNAs (ceRNAs).
Methods
We sourced glycolysis-associated genes from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and identified 101 glycolysis-linked lncRNAs in CRC via bioinformatics techniques. Through a combination of Univariable Cox regression, Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis, and multivariable Cox regression evaluations, we designed a prognostic model consisting of four distinct glycolysis-related lncRNAs. Subsequently, a prognostic nomogram was conceived integrating the glycolysis-associated lncRNA model and other pertinent clinical parameters.
Results
The robust prognostic efficacy of the quartet glycolysis-related-lncRNA signature and the corresponding nomogram was corroborated across both training and validation cohorts. Functional assays revealed a notable suppression in glycolysis and hexokinase II (HK2) expression upon silencing lncRNA RUNDC3A − AS1, a pivotal lncRNA within our prognostic signature. This underscores the significant regulatory role of lncRNA RUNDC3A − AS1 in the Warburg effect.
Conclusions
We have successfully highlighted glycolysis-centric lncRNAs in CRC. Through our prognostic model and nomogram, we accentuated the lncRNA RUNDC3A − AS1's crucial prognostic and regulatory role in the Warburg effect within colorectal cancer cells.
Effect of Ursolic Acid, Selenium Nanoparticles, and Their Combination on the Metastasis-Associated Gene Expression in MDA-MB-231 Breast Cancer Cells: In-vitro Study
Authors: Azimi Farnaz , Sanaei Marzieh , Rahimzadeh Sara , Ajideh Ramak , Shahverdi Ahmad Reza , Yazdi Mohammad Hossein 
Published: September 2023

Abstract

Metastasis is a leading cause of cancer-related mortality. Triple-negative human breast carcinoma (TNBC) exhibits increased invasion and metastatic activity compared to other types of breast cancer, often resulting in a poor prognosis. The aim of this study was to examine the impact of selenium nanoparticles (SeNPs), ursolic acid, and their combination on the MDA-MB-231 TNBC cell line in terms of their potential antiproliferative and antimetastatic effects. The cytotoxic effect of the aforementioned substances was evaluated using an MTT assay. Additionally, their impact on the expression levels of ICAM-1, a transmembrane glycoprotein that promotes metastasis, and two matrix metalloproteinases (MMP-2 and MMP-9) that are essential for tumor invasion and migration, was investigated by using real-time PCR. Moreover, the scratch assay was used to observe cell migration after SeNPs and ursolic acid treatment. The findings suggest that although applying 150 µg/mL SeNPs and 20 µg/mL UA separately revealed more cell inhibition rate, a combination group of SeNPs and ursolic acid not only decreases the viability of cancer cells in comparison to the control group, but also harbors synergistic actions in reducing the migration and metastasis of MDA-MB-231 cells by their most effective downregulation of MMP-9, MMP-2, and ICAM-1 expression. It can be considered a novel potential treatment for triple-negative metastatic breast cancer (TNBC). However for better justification of this mechanism, more detailed studies on animal models should be performed.
Contribution of uniparental disomy to fetal growth restriction: a whole-exome sequencing series in a prenatal setting
Authors: Li Mengmeng , Hao Na , Jiang Yulin , Xue Huili , Dai Yifang , Wang Mingming , Bai Junjie , lv Yan , Qi Qingwei , Zhou Xiya 
Published: September 2023

Abstract
Fetal growth restriction (FGR), a leading cause of perinatal morbidity and mortality, is caused by fetal, maternal, and placental factors. Uniparental disomy (UPD) is a rare condition that leads to imprinting effects, low-level mosaic aneuploidies and homozygosity for pathogenic variants. In the present study, UPD events were detected in 5 women with FGR by trio exome sequencing (trio-WES) of a cohort of 150 FGR cases. Furthermore, noninvasive prenatal testing results of the 5 patients revealed a high risk of rare autosomal trisomy. Trio-WES showed no copy-number variations (CNVs) or nondisease-causing mutations associated with FGR. Among the 5 women with FGR, two showed gene imprinting, and two exhibited confined placental mosaicism (CPM) by copy number variant sequencing (CNV-seq). The present study showed that in FGR patients with UPD, the detection of imprinted genes and CPM could enhance the genetic diagnosis of FGR.
Ten Machine Learning Algorithms for Short-Term Forecasting: A Comparative Study in Gas Warning Systems
Authors: Wu Robert M.X. , Shafiabady Niusha , Zhang Huan , Lu Haiyan (Helen) , Gide Ergun , Liu Jinrong , Charbonnier Clement Franck Benoit 
Published: September 2023

Abstract

This research aims to explore more efficient machine learning (ML) algorithms with better prediction assessments for short-term forecasting. Up-to-date literature shows a lack of research on selecting practical ML algorithms for short-term forecasting in real-time industrial applications. The literature reviews the top-tier publications on ML algorithms used in China’s industrial applications and finds 29 algorithms. Among them, ten widely used ML algorithms are tested, including ARIMA, BP_Resilient, BP_SOG, KNN, LP, LSTM, Perceptron, RF, RNN, and SVM. A case study is conducted to compare the prediction error and predictive performance assessments. The top two ranked algorithms for prediction error assessment are ARIMA and LR. RF, SVM, BP_SOG, KNN, RNN, and BP_Resilient follow. Perceptron is the last ranked algorithm. For predictive performance assessment, ten algorithms are divided into five clusters: the best (KNN) with the shortest computational time (0.41683s), better (RF, LR, and SVM) with between 1s and 2s, good (Perceptron, BP_SOG, and BP_Resilient) with between 2s and 3s, worse (ARIMA and RNN) with more than 3s, and the worst (LSTM) with the longest computational time (145.19s). Based on the outcomes of comparative analysis, ten ML algorithms can be finally classified into four categories: optimal, efficient, suboptimal, and inefficient. LR and RF are optimal algorithms. Efficient algorithms include SVM, KNN, and ARIMA. Suboptimal algorithms include BP_SOG, BP_Resilient, RNN, and Perceptron. LSTM is an inefficient algorithm. This research finds different results from previous studies between LSTM, KNN, and SVM. The research outcomes significantly explore different views on the performance of ARIMA, LR, KNN, RF, RNN, and SVM compared to previous studies. They are valuable for further research. Finally, this research contributes 20 research questions for further investigation.
Adherence type impacts completion rates of frequent mobile cognitive assessments among older adults with and without cognitive impairment
Authors: Christianson Kieffer , Prabhu Meha , Popp Zachary T , Rahman Md Salman , Drane James , Lee Marissa , Lathan Corinna , Lin Honghuang , Au Rhoda , Sunderaraman Preeti , Hwang Phillip H 
Published: September 2023

Abstract
Background
Prior to a diagnosis of Alzheimer’s disease, many individuals experience cognitive and behavioral fluctuations that are not detected during a single session of traditional neuropsychological assessment. Mobile applications now enable high-frequency cognitive data to be collected remotely, introducing new opportunities and challenges. Emerging evidence suggests cognitively impaired older adults are capable of completing mobile assessments frequently, but no study has observed whether completion rates vary by assessment frequency or adherence type.
Methods
Thirty-three older adults were recruited from the Boston University Alzheimer’s Disease Research Center (mean age = 73.5 years; 27.3% cognitively impaired; 57.6% female; 81.8% White, 18.2% Black). Participants remotely downloaded and completed the DANA Brain Vital application on their own mobile devices throughout the study. The study schedule included seventeen assessments to be completed over the course of a year. Specific periods during which assessments were expected to be completed were defined as subsegments, while segments consisted of multiple subsegments. The first segment included three subsegments to be completed within one week, the second segment included weekly subsegments and spanned three weeks, and the third and fourth segments included monthly subsegments spanning five and six months, respectively. Three distinct adherence types – subsegment adherence, segment adherence, and cumulative adherence – were examined to determine how completion rates varied depending on assessment frequency and adherence type.
Results
Adherence type significantly impacted whether the completion rates declined. When utilizing subsegment adherence, the completion rate significantly declined (p = 0.05) during the fourth segment. However, when considering completion rates from the perspective of segment adherence, a decline in completion rate was not observed. Overall adherence rates increased as adherence parameters were broadened from subsegment adherence (60.6%) to segment adherence (78.8%), to cumulative adherence (90.9%).
Conclusions
Older adults, including those with cognitive impairment, are able to complete remote cognitive assessments at a high-frequency, but may not necessarily adhere to prescribed schedules.
Investigation of Polymeric Nanoparticles Encapsulating Natural Sources for Targeting of Cancer
Authors: Khan Javed , Yadav Shikha 
Published: September 2023

Abstract
Herbal medications have emerged as a prominent focus within the pharmaceutical industry due to their well-established efficacy and limited occurrence of adverse effects. Additionally, natural medicines display a comparable amount of interest in the creation of nanoparticle as compared to synthetic drugs. Polymeric nanoparticles have become an important tool for increasing drug bioavailability and enabling tailored delivery to the intended site of action. because of the analgesic, anti-inflammatory, antibacterial, and antioxidant benefits of its therapeutic qualities. Formulations were prepared using different ingredients using the solvent evaporation method. Polyvinyl alcohol, Polylactic acid was used as a biodegradable polymer, HPMC, Polyvinylpyrrolidone (PVP), and Lactose. 5- Fluorouracil is acts as an inhibitor of receptor thymidylate synthase (TS) and chemotherapeutic drug. Vaccinium Corymbosum was extracted by the Soxhlet method. The extract of the Vaccinium Corymbosum was encapsulated, Quercetin is the flavonoid that worked as a main constituent. The current study indicates that Vaccinium Corymbosum-loaded nanoparticles assist in the anti-cancer activity effectively.
Estimation of Moss Harvest Amount and Biomass per Hectare for Sustainable Moss Harvesting in Türkiye
Authors: URSAVAŞ Serhat , SÖYLER Recep 
Published: September 2023

Abstract
While moss harvesting is legally permitted in Turkey, the lack of inventory studies in harvested areas puts significant pressure on moss species. Additionally, there are not enough studies on how much moss can be harvested per hectare from well-maintained forest areas. Eldivan Mountain with a size of 4,200 ha was chosen as the study area. In this area, a sampling point was determined every 300 meters. At each point, moss species were detected in an area of 4 m2 on the ground and 50 m2 on the tree. The total identified moss taxa cover an estimated area of approximately 97,216,557 m2, and their air-dry weight is 44,640,972 kilograms. The most widely distributed species on the ground is Syntrichia ruralis with 64,772,801 m2 and 623,268 kg. On the tree, it is Hypnum cupressiforme var. lacunosum with a width of 3,937,266 m2 and 1,448,533 kg. Harvesting of these species is not correct since there is not enough rainfall in Turkey to develop epiphytic moss taxa. For sustainable moss harvest, it is best to harvest 1/3 of its total wealth. For a sustainable moss harvest, it is recommended to harvest 2 tons per hectare in Turkey. In addition, it should be kept in mind that moss harvesting without an inventory study may cause damage to rare, sensitive and endemic moss species.
The Relationship Between Severe Hypertensive Diseases of Pregnancy and Moderate-Severe Bronchopulmonary Dysplasia
Authors: Wymore Erica , Lynch Anne , Singh Jasleen , Thevarajah Tamara , Hodges Jennifer , Kinsella John , Auer Emily , Wagner Brandie 
Published: September 2023

Abstract
Objective: Determine the association between severe hypertensive disease of pregnancy (HDP) with moderate-severe bronchopulmonary dysplasia (BPD) in preterm infants (< 31 weeks’ gestation).
Study Design: Preterm birth cohort study of 693 mother-infant dyads. Severe HDPwas defined as severe preeclampsia, HELLP syndrome or eclampsia. The outcome was moderate-severe BPD classified at 36 weeks corrected gestational age, based on the NICHD Consensusstatement.
Results: 225 (32%) mothers developed severe HDP and 234 (34%) infants hadmoderate-severe BPD. There was an interaction between severe HDP and gestational age (p=0.03). Infants born at earlier gestational ages to mothers with HDP had increased odds for moderate-severe BPD compared to infants of normotensive mothers delivering at the same gestational age. Infants born at later gestational ages to mothers with severe HDP had decreased odds for the outcome.
Conclusions: Severe HDP has a differential effect on the development of moderate-severe BPD based on gestational age.
Existence and uniqueness of solutions for multi-order fractional differential equations with integral boundary conditions
Authors: Sun Jian-Ping , Fang Li , Zhao Ya-Hong , Ding Qian 
Published: September 2023

Abstract
In this paper, we consider the existence and uniqueness of solutions for a nonlinear multi-order fractional differential equation with integral boundary conditions.
By using a fixed point theorem and Banach contractive mapping principle, we obtain some existence and uniqueness results.
Kinetic description of scalar conservation laws with Markovian data
Authors: Rezakhanlou Fraydoun 
Published: September 2023

Abstract

We derive a kinetic equation to describe the statistical structure of solutions ρ to scalar conservation laws ρ_t = H(x, t, ρ)_x , with certain Markov initial conditions. When the Hamiltonian function is convex and increasing in ρ, we show that the solution ρ(x, t) is a Markov process in x (respectively t) with t (respectively x) fixed. Two classes of Markov conditions are considered in this article. In the first class, the initial data is characterize by a drift b which satisfies a linear PDE, and a jump density f which satisfies a kinetic equation as time varies. In the second class, the initial data is a concatenation of fundamental solutions that are characterized by a parameter y, which is a Markov jump process with a jump density g satisfying a kinetic equation. When H is not increasing in ρ, the restriction of ρ to a line in (x, t) plane is a Markov process of the same type, provided that the slope of the line satisfies an inequality.
Cell-cycle-related protein centromere protein F deficiencyinhibits cervical cancer cell growth by inducing ferroptosisvia Nrf2 Inactivation
Authors: Tang Xinhui , Zhao Tiannan , Guo Li , Liu Xinyue , Zhang Weina , Zhang Ping 
Published: September 2023

Abstract
Background Cervical cancer (CC)is one of the deadliest cancer types that seriouslythreatens women’s health. The Centromere protein F (CENPF) is the key protein inmitosis, which modulates a variety of cellular processes, including chromosomeseparation during mitosis. Bioinformatics study has shown that CENPF is a masterregulator that is overexpressed and activated in cervical cancer. However, the exactbiological function of CENPF in CC remains unclear.
Methods In this study, we investigated the expression level of CENPF in cervicalcancer tissues and cells by immunohistochemistry and western blot assay. Then weperformed a knockdown of CENPF by lentivirus transfection to explore the potentialbiological function of CENPF in CC cell lines. The role of CENPF in regulatingferroptosis was assessed by analyzing lipid reactive oxygen species (ROS), andmalonyl dialdehyde (MDA), transmission electron microscopy experiments, etc. Theresults obtained in vitro were further verified by a subcutaneous tumorigenic nudemouse model.
Results Our findings suggest that CENPF is highly expressed in CC patients and CCcell lines. In vitro and vivo experiments have shown that the knockdown of CENPFcan inhibit cell proliferation, cell migration, and cell invasion, and trigger ferroptosis.The ferroptosis induced by inhibiting CENPF in cervical cancer cell lines may bemediated by the Nrf2/HO-1 pathway.
Conclusion CENPF is significantly overexpressed in cervical cancer patients andaffects the biological effects of cervical cancer cells. Knockdown of CENPF inducesferroptosis in cervical cancer cell lines by activating Nrf2/HO-1 signaling. Thus,CENPF might serve as a novel prognostic biomarker and latent therapeutic target forcervical cancer patients.
Enhancing Watershed Governance through Collaborative Platforms: Evidence from Ecological Compensation Governance in China
Authors: Sun Yan , Li Wanru 
Published: September 2023

Abstract
Extensive research has been conducted on control and coordination in collaborative governance, and recent studies on “collaborative platforms” have shed light on the integration of these aspects. Collaborative platforms represent a governance strategy that surpasses traditional collaborative governance, allowing for the coexistence of control and coordination to foster broader and evolving cooperation. This paper focuses on the Xin’an River Ecological Compensation Collaborative Platform in China, using grounded theory coding techniques and procedures to explore its specific evolutionary process and mechanisms from a process perspective. This paper delves into the interaction, development, and functioning of control and coordination within this collaborative platform. The research uncovers an evolutionary trend in the Xin’an River Ecological Compensation Collaborative Platform characterized by scale expansion, governance maturity, structural complexity, and functional upgrading. The platform’s evolutionary mechanism shows the following progression: “Platform Driving Force - Platform Governance Tools - Platform Structure - Platform Functions”. Throughout its evolution, control and coordination exhibit dual strengths, but their emphasis varies at different phases of platform development. The paper makes a significant contribution by advancing the theory of collaborative platforms through empirical evidence from China. On the one hand, it provides empirical support for the theory in terms of platform operation logic, structure, functionality, and experimentation. On the other hand, it offers a more detailed explanation of how control and coordination operate within collaborative platforms by adopting a process perspective and drawing on research scenarios from China.