bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of hypoxia- and immune- based prognostic signature and validation of TFRC as a potential biomarker and therapeutic target in bladder cancer
Authors: Tang Runhua , Wang Haoran , Liu Jianyong , Song Liuqi , Hou Huimin , Liu Ming , Wang Jianye , Wang Jianlong 
Published: December 2023

Abstract
Background
Bladder cancer is a common malignancy of the urinary system, and the survival rate and recurrence rate of patients with muscular aggressive (MIBC) bladder cancer are not ideal. Hypoxia is a pathological process in which cells acquire special characteristics to adapt to anoxic environment, which can directly affect the proliferation, invasion and immune response of bladder cancer cells. Understanding the exact effects of hypoxia and immune-related genes in BLCA is helpful for early assessment of the prognosis of BLCA. However, the prognostic model of BLCA based on hypoxia and immune-related genes has not been reported.
Purpose
Hypoxia and immune cell have important role in the prognosis of bladder cancer (BLCA). The aim of this study was to investigate whether hypoxia and immune related genes could be a novel tools to predict the overall survival and immunotherapy of BLCA patients.
Methods
Firstly, we downloaded transcriptomic data and clinical information of BLCA patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A combined hypoxia and immune signature was then constructed on the basis of the training cohort via least absolute shrinkage and selection operator (LASSO) analysis and validated in test cohort. Afterwards, Kaplan-Meier curves, univariate and multivariate Cox and subgroup analysis were employed to assess the accuracy of our signature. Immune cell infiltration, checkpoint and the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm were used to investigate the immune environment and immunotherapy of BLCA patients. Furthermore, we confirmed the role of TFRC in bladder cancer cell lines T24 and UMUC-3 through cell experiments.
Results
A combined hypoxia and immune signature containing 8 genes were successfully established. High-risk group in both training and test cohorts had significantly poorer OS than low-risk group. univariate and multivariate Cox analysis indicated our signature could be regarded as an independent prognostic factor. Different checkpoint was differently expressed between two groups, including CTLA4, HAVCR2, LAG3, PD-L1 and PDCD1. TIDE analysis indicated high-risk patients had poor response to immunotherapy and easier to have immune escape. The drug sensitivity analysis showed high-risk group patients were more potentially sensitive to many drugs. Meanwhile, TFRC could inhibit the proliferation and invasion ability of T24 and UMUC-3 cells.
Conclusion
A combined hypoxia and immune-related gene could be a novel predictive model for OS and immunotherapy estimation of BLCA patients and TFRC could be used as a potential therapeutic target in the future.
Native T1-mapping as a Predictor of Progressive Renal Function Decline in Chronic Kidney Disease Patients
Authors: Shi Zhaoyu , Sun Chen , Zhou Fei , Yuan Jianlei , Chen Minyue , Wang Xinyu , Wang Xinquan , Zhang Yuan , Pylypenko Dmytro , Yuan Li 
Published: December 2023

Abstract
Background: To investigate the potential of Native T1-mapping in predicting the prognosis of patients with chronic kidney disease (CKD).
Methods: We enrolled 119 CKD patients as the study subjects and included 20 healthy volunteers as the control group, with follow-up extending until October 2022. Out of these patients, 63 underwent kidney biopsy measurements, and these patients were categorized into high (25–50%), low (<25%), and no renal interstitial fibrosis (IF) (0%) groups. The study's endpoint event was the initiation of renal replacement therapy, kidney transplantation, or an increase of over 30% in serum creatinine levels. Binary logistic regression analysis determined factors influencing unfavorable kidney outcomes. We employed Kaplan-Meier analysis to contrast kidney survival rates between the high and low T1 groups. Additionally, receiver-operating characteristic (ROC) curve analysis assessed the predictive accuracy of Native T1-mapping for kidney endpoint events.
Results: T1 values across varying fibrosis degree groups showed statistical significance (F=4.772, P<0.05). Multivariate binary logistic regression pinpointed diabetes, cystatin C（CysC）, hemoglobin（Hb）, and T1 as factors tied to the emergence of kidney endpoint events. Kaplan-Meier survival analysis revealed a markedly higher likelihood of kidney endpoint events in the high T1 group compared to the low T1 value group (P<0.001). The ROC curves for variables (CysC, T1, Hb) tied to kidney endpoint events demonstrated area under the curves(AUCs) of 0.83 (95%CI: 0.75-0.91) for CysC, 0.77 (95%CI: 0.68-0.86) for T1, and 0.73 (95%CI: 0.63-0.83) for Hb. Combining these variables elevated the AUC to 0.88 (95%CI: 0.81-0.94).
Conclusion: Native T1-mapping holds promise in facilitating more precise and earlier detection of CKD patients most at risk for end-stage renal disease.
Effects of different ionic liquids on microbial growth, enzyme activity and microbial community structure of soil
Authors: Chu Linglong , Zheng Wenli , Zhao Xiaoxiang , Song Xinshan 
Published: December 2023

Abstract

Ionic liquids (ILs) are widely used “green solvent” as they have a low vapor pressure and can replace volatile solvents in industry. However, ILs are difficult to biodegrade and are potentially harmful to the environment. This study, herein, investigated the toxicity of three imidazole ILs ([C8MIM]Cl, [C8MIM]Br, and [C8DMIM]Br) towards soil microorganisms. The results showed that the ILs inhibited the growth of soil culturable microorganisms (fungi, bacteria, and actinomycetes) and affected the activity of soil enzyme. In addition, microbial community species and abundance in soil were altered, with significant differences between the control and experimental groups. Alpha diversity analysis showed that the community abundance tended to increase and then decrease with increasing ILs concentrations. The decrease in species abundance implied that the soil microbial system was less resilient to disturbance. Finally, functional prediction analysis revealed that ILs mainly affected the carbohydrate metabolism and amino acid metabolic processes of the microorganisms. ILs with single methyl substituent had a more pronounced effect than those with double methyl substituents. This study contributes to a better understanding of the environmental safety and ecological risks of ILs.
Innovative planting designs for oil palm-based agroforestry
Authors: RIVAL Alain , ANCRENAZ Marc , GUIZOL Philippe , LACKMAN Isabelle , BURHAN Sampe , ZEMP Clara , FIRDAUS Muhammad , DJAMA Marcel 
Published: December 2023

Abstract

Southeast Asia is home to 20% of the remaining tropical forests, yet it suffers from the highest rates of deforestation globally due to the expansion of agroindustrial and smallholder tree crop plantations, particularly oil palm plantations. This development has led to the decline of emblematic species such as orangutans, but also of critical functional groups, including soil fauna and fungi. Through the loss of structurally complex habitats, biodiversity is drastically reduced in oil palm-dominated landscapes and deforestation impairs key ecosystem services. Despite its commercial success, intensive oil palm monoculture has now reached its social and environmental limits. The TRAILS Project has established an international consortium linking a research organization (CIRAD), a community-based environmental NGO (HUTAN), a Malaysian University (Universiti Putra Malaysia), and a commercial oil palm plantation (Melangking Oil Palm Plantations). The consortium has set up experimental oil palm-based agroforestry plots in a commercial plantation located in Sabah, Malaysia, a global hotspot of biodiversity. TRAILS has planted a series of field experiments aimed at: i) evaluating the feasibility of intercropping, associating oil palms and forest trees, ii) assessing the potential for agroforestry of 17 native forest species and, iii) characterizing biological interactions between oil palm plants and some of these tree species. Our overarching goal is to ascertain synergies and trade-offs between biodiversity, ecosystem services, and sustainable palm oil production. This article describes three original planting designs, paving the way for a new generation of climate-smart and resilient plantations.
Sustained SREBP-1 Activation Mediates Cardiac Lipotoxicity to Statins Therapy in Diabetic Mice
Authors: Cai Weibin , Huang Tongsheng , Wu Teng , Fu Xinlu , Ren Honglin , He Xiaodan , Zheng Dinghao , Tan Jing , Xiong shi , Qian Jiang , Zou Yan , Zheng Huiting , Ji Yuanjun , Liu Mengying , Wu Yandi , Li Xing , Li Hui , Yan Li , Ren Meng 
Published: December 2023

Abstract
Under diabetes conditions, sterol regulatory element-binding protein 1 (SREBP1) activation could cause lipid dysfunction, leading to cardiac lipotoxicity. Here, we sought to investigate the effects of long-term statins use on cardiac lipid accumulation in diabetes and to elucidate whether the potential mechanism is related to SREBP1. Surprisingly, in three kinds of preclinical diabetic mouse model, long-term statins treatment induced cardiac dysfunction in diabetic mice, via accelerated fibrosis and inflammation. We confirmed that endogenous fatty acids (FA) synthesis in cardiomyocytes was increased by 13C-glucose metabolic flux analysis in vitro, and increased lipid deposition in the myocardium. Mechanistically, statins-induced increased cardiac glucose accumulation, further promoted N-glycosylation of SREBP1 cleavage-activating protein (SCAP). Glycosylation stabilized SCAP and reduced its association with insulin-induced gene 1(Insig1), allowing movement of SCAP/SREBP1 to the Golgi and consequent proteolytic activation of SREBP1. Genetic knockdown or L-carnitine inhibition of SREBP1 alleviated statins-induced cardiac dysfunction in diabetic mice. Collectively, these results suggest long-term statins therapy was associated with diabetes myocardial lipotoxicity. This effect was mediated through sustained SREBP-1 activation mediates cardiac endogenous fatty acid synthesis.
Isomerizations of C 6 H 6 .+ radical cations: A computational study
Authors: Kharnaior Kiew S. , Chandra Asit K. , Lyngdoh R. H. Duncan 
Published: December 2023

Abstract
Isomerization reactions of various C6H6•+ radical cation (RC) species are studied using the B3LYP and M06-2X functionals with the CBS-QB3 method. 18 such concerted reactions are found to proceed via well-defined transition states, whose relative positions along the reaction pathway generally agree with Hammond’s postulate. From the barrier heights, the rate coefficients of these reactions are estimated by using transition state theory, and the activation energies are computed. Through combination among themselves, these 18 isomerizations yielded 15 multi-step conversion routes of various C6H6•+ species to the lowest energy benzene radical cation isomer 1.
Diagnostic performance of plasma pTau 217 , pTau 181 , Aβ 1-42 and Aβ 1-40 in the LUMIPULSE automated platform for the detection of Alzheimer disease
Authors: Arranz Javier , Zhu Nuole , Rubio-Guerra Sara , Rodríguez-Baz Íñigo , Ferrer Rosa , Carmona-Iragui María , Barroeta Isabel , Illán-Gala Ignacio , Santos-Santos Miguel , Fortea Juan , Lleó Alberto , Tondo Mireia , Alcolea Daniel 
Published: December 2023

Abstract
BACKGROUND
Recently developed blood markers for Alzheimer's disease (AD) detection have high accuracy but usually require ultra-sensitive analytic tools not commonly available in clinical laboratories, and their performance in clinical practice is unknown.
METHODS
We analyzed plasma samples from 290 consecutive participants that underwent lumbar puncture in routine clinical practice in a specialized memory clinic (66 cognitively unimpaired, 130 participants with mild cognitive impairment, and 94 with dementia). Participants were classified as amyloid positive (A+) or negative (A-) according to CSF Aβ1–42/Aβ1–40 ratio. Plasma pTau217, pTau181, Aβ1–42 and Aβ1–40 were measured in the fully-automated LUMIPULSE platform. We used linear regression to compare plasma biomarkers concentrations between A + and A- groups, evaluated Spearman’s correlation between plasma and CSF and performed ROC analyses to assess their diagnostic accuracy to detect brain amyloidosis as determined by CSF Aβ1–42/Aβ1–40 ratio. We analyzed the potential of pTau217 to predict amyloidosis in CSF.
RESULTS
Plasma pTau217 and pTau181 concentration were higher in A + than A- while the plasma Aβ1–42/Aβ1–40 ratio was lower in A + compared to A-. pTau181 and the Aβ1–42/Aβ1–40 ratio showed moderate correlation between plasma and CSF (Rho = 0.66 and 0.69, respectively). The areas under the ROC curve to discriminate A + from A- participants were 0.94 (95% CI 0.92–0.97) for pTau217, and 0.88 (95% CI 0.84–0.92) for both pTau181 and Aβ1–42/Aβ1–40. Chronic kidney disease (CKD) was related to increased plasma biomarker concentrations, but ratios were less affected. Plasma pTau217 had the highest fold change (x4.2) and showed high predictive capability in discriminating A + from A-, having 4–7% misclassification rate. The global accuracy of plasma pTau217 using a two-threshold approach was robust in symptomatic groups, exceeding 90%.
CONCLUSION
The evaluation of blood biomarkers on an automated platform exhibited high diagnostic accuracy for AD pathophysiology, and pTau217 showed excellent diagnostic accuracy to identify participants with AD in a consecutive sample representing the routine clinical practice in a specialized memory unit.
A process-oriented hesitant fuzzy linguistic decision field theory: Application to the selection of new energy vehicles
Authors: Xue Wenting , Lu Wuhui , Xu Zeshui , Zhang Chonghui 
Published: December 2023

Abstract
The new energy vehicle industry is thriving with high energy efficiency and environment friendly characteristic and how to select them is a significant comprehensive assessment problem. In the new energy vehicle assessment, the decision makers often encounter some qualitative evaluations which contain several adjacent linguistic terms, that is the hesitant fuzzy linguistic term set, to express their opinions with indicators. The existing hesitant fuzzy linguistic decision-making methods are mainly result-oriented which neglect the dynamic process of information processing. Therefore, we propose a process-oriented hesitant fuzzy linguistic decision field theory to modify the process-oriented decision-making methods combining the decision makers’ preference evolution processes. First, we introduce the BoD method which highlights the advantage indicator and maximizes the comprehensive score of each alternative to endow the weight. Next, the decision field theory is expanded to the hesitant fuzzy linguistic environment combining the normalized carbon emissions. The carbon emission-based preference and time constraint are taken into account to make the decision-making process conform to human decision-making behavior. Finally, the process-oriented decision-making method is applied to select the optimal new energy vehicle. The sensitivity analysis and comparative analysis verify the effectiveness and robustness of the proposed method.
The impact and correlation of running landing methods on leg movement ability
Authors: Chen Chao-Fu , Wu Hui-Ju , Wang Yu-Shih , Hsieh Hung-Sheng , Wang Ting-Yao , Wang Soun-Cheng 
Published: December 2023

Abstract
This study explores the impact of different landing methods on leg movement ability and the relationship between leg movement ability parameters. This work parameters including stride, contact time, flight time, duty factor, stride angle, vertical stiffness, leg stiffness, and peak vertical ground reaction force. Thirty healthy subjects voluntarily participated in this study. In this experiment, each subject was required to perform two tests on a treadmill (using a speed of 10 km/h and 160 spm) (The interval between two experiments was more than seven days). In the first test, subjects used RFS. In the second test, FFS was used. A high-speed video camera was used to collect the images and the Kwon3D motion analysis suite was used to process the images in this experiment. The results of this study show that compared with the RFS method, runners using the FFS method have several positive characteristics, including short contact times, extended flight times, reduced duty factor, increased stride angle, and increased leg stiffness. This study did not show a significant difference in the peak vertical ground reaction force, but the FFS approach is generally ac-companied by greater vertical reaction force, further emphasizing its positive advantages in improving overall athletic ability.
Short-term wind power generation point and interval prediction based on a novel seasonal multivariable grey model
Authors: Gao Mingyun , Lv Yichen , Wu Xinyu 
Published: December 2023

Abstract
Developing wind farms is a promising approach to reduce pollution emissions in the electrical power system. Wind power generation prediction plays a key role in emission reduction and energy conservation of wind farms. Considering the distribution information and seasonal meteorological characteristics in wind power generation system, this paper proposes a novel seasonal multivariable grey model. This novel model is proven to provide unbiased prediction on short-term wind power generation. Based on this model, the interval prediction is designed using an intelligent optimization algorithm and the Bootstrap method. For illustration and verification purposes, Belgian onshore and offshore wind farm generation sets are studied. Empirical results indicate that the proposed model achieves higher accuracy compared with six existing models, yielding the lowest MAPE of 1.74% and 1.76% in point prediction, and the best performance of coverage width-based criterion and average interval score in interval prediction.
Effects of a calcium-deficient diet and resistance exercise on bone in male and female rats of different biological maturity
Authors: Kawata Yukiko , Kitaguchi Mizuki , Fujii Takako , Okamura Koji 
Published: December 2023

Abstract
We investigated the effects of resistance exercise, sex, and biological maturity on bone in rats fed a calcium (Ca)-deficient diet. Growing (age: 4–7 weeks) and mature (age: 12–15 weeks) rats were divided into four groups: sedentary and climbing exercise groups on a Ca-sufficient diet (5 g Ca/kg), and sedentary and climbing exercise groups on a Ca-deficient diet (1 g Ca/kg). Exercise increased the muscle weight in both sexes of the growing rats, but not in both male and female mature rats. In rats fed a Ca-deficient diet, the weight, central axis width, breaking energy, and stiffness of the femur were significantly lower in both sexes of growing rats and were not affected by exercise. In mature rats, neither a Ca-deficient diet nor exercise had any effect on these measurements in either sex. The rupture energy and stiffness of the femur were decreased by the Ca-deficient diet in growing rats of both sexes, but exercise did not suppress this weakening. In mature rats of both sexes, the Ca-deficient diet did not induce fragility of the femur.
Regional Economic Resilience Enhancement Effect and Mechanism of Digital Financial Inclusion --Analysis Based on the Perspective of Entry and Exit of Micro, Small and Medium-sized Business Entities
Authors: Ding Jianjun , Zhou Chuanhui 
Published: December 2023

Abstract
Micro, small and medium-sized market business entities are more sensitive to shocks and are subject to more prominent financial constraints, and the development of digital inclusive finance can help micro, small and medium-sized business entities to obtain financial support to cope with various shocks, thus enhancing the resilience of the regional economy. Taking the panel data of 288 prefecture-level cities from 2011 to 2020 as samples, based on the perspective of entry and exit of micro, small and medium-sized business entities, the mediation effect model is applied to test the effect of digital financial inclusion on regional economic resilience and its mechanism. It is found that: (i) The development of digital inclusive finance significantly contributes to the enhancement of regional economic resilience, and this conclusion still holds after endogeneity treatment and robustness test. (ii) Heterogeneity analysis shows that the promotion effect of digital inclusive finance on regional economic resilience decreases sequentially from eastern, central to western regions. Digital financial inclusion in smart cities and small and medium-sized cities contributes more to regional economic resilience than in non-smart and large cities. (iii) Mechanism analysis shows that digital inclusive finance enhances regional economic resilience by strengthening the entry and exit mechanisms for micro, small and medium-sized business entities. In order to better utilize the regional economic resilience effect of digital inclusive finance, the construction of digital inclusive financial facilities, the innovation of digital inclusive financial products and the strengthening of digital inclusive financial training should be improved.
Reliability analysis of Optical Neural Networks with non-ideal signal transmission
Authors: Fu Pengju , Su Ye , Ye Yichen , Chai Junxiong , Jiang Xiao , Yang Hongyu , Xie Yiyuan 
Published: December 2023

Abstract
Machine learning plays a significant role in various fields. As a fundamental part of machine learning, matrix operations are one of the most important computational parts of neural networks. However, the advancement of Moore’s law is hindered by limitations in the number and size of transistors on electronic chips. Therefore, the implementation of optical neural network (ONN) using photonic devices to accomplish matrix-vector multiplication (MVM) has attracted significant attention. Compared with traditional electrical on neural networks, ONN exhibits faster computational speed, higher parallel input capability and greater energy efficiency. Nevertheless, crosstalk and signal loss are inevitable characteristics in optical signal transmission, which can degrade the performance of ONN. In this paper, we present analysis models and simulations to assess the effects of crosstalk and loss on optical computing systems. We have observed that the accuracy of ONN degrades when crosstalk and loss are present. In severe cases, ONN is unable to complete the classification task. To mitigate the interference of crosstalk, we have designed a novel double-layer structure to reduce the number of optical devices required for signal transmission and optimize the impact of crosstalk on ONN performance. For the identical classification task, the ONN based on a double-layer structure exhibits better interference immunity than the generic ONN, with a 10% performance improvement. In particular, performance is improved by 50% when only crosstalk is considered.