bluuebunny/crossref_metadata_2025_split huggingface dataset:
Replication of a neuroimaging biomarker for striatal dysfunction in psychosis
Authors: Rubio Jose , Lencz Todd , Cao Hengyi , Kraguljac Nina , Dhamala Elvisha , Homan Philipp , Horga Guillermo , Sarpal Deepak , Argyelan Miklos , Gallego Juan , Cholewa John , Barber Anita , Kane John , Maholtra Anil 
Published: August 2023

Abstract
To bring biomarkers closer to clinical application, they should be generalizable, reliable, and maintain performance within the constraints of routine clinical conditions. The functional striatal abnormalities (FSA), is among the most advanced neuroimaging biomarkers in schizophrenia, trained to discriminate diagnosis, with post-hoc analyses indicating prognostic properties. Here, we attempt to replicate its diagnostic capabilities measured by the area under the curve (AUC) in receiver operator characteristic curves discriminating individuals with psychosis (n=101) from healthy controls (n=51) in the Human Connectome Project for Early Psychosis. We also measured the test-retest (run 1 vs 2) and phase encoding direction (i.e., AP vs PA) reliability with intraclass correlation coefficients (ICC). Additionally, we measured effects of scan length on classification accuracy (i.e., AUCs) and reliability (i.e., ICCs). Finally, we tested the prognostic capability of the FSA by the correlation between baseline scores and symptom improvement over 12 weeks of antipsychotic treatment in a separate cohort (n=97). Similar analyses were conducted for the Yeo networks intrinsic connectivity as a reference. The FSA had good/excellent diagnostic discrimination (AUC=75.4%, 95%CI=67.0%-83.3%; in non-affective psychosis AUC=80.5%, 95%CI=72.1-88.0%, and in affective psychosis AUC=58.7%, 95%CI=44.2-72.0%). Test-retest reliability ranged between ICC=0.48 (95%CI=0.35-0.59) and ICC=0.22 (95%CI=0.06-0.36), which was comparable to that of networks intrinsic connectivity. Phase encoding direction reliability for the FSA was ICC=0.51 (95%CI=0.42-0.59), generally lower than for networks intrinsic connectivity. By increasing scan length from 2 to 10 minutes, diagnostic classification of the FSA increased from AUC=71.7% (95%CI=63.1%-80.3%) to 75.4% (95%CI=67.0%-83.3%) and phase encoding direction reliability from ICC=0.29 (95%CI=0.14-0.43) to ICC=0.51 (95%CI=0.42-0.59). FSA scores did not correlate with symptom improvement. These results reassure that the FSA is a generalizable diagnostic – but not prognostic – biomarker. Given the replicable results of the FSA as a diagnostic biomarker trained on case-control datasets, next the development of prognostic biomarkers should be on treatment-response data.
Measuring the polycentricity in waste governance: a comparative study on Shanghai, Tokyo, and Hong Kong
Authors: Dong Liang , HAO Xinyu , Qian Xuepeng , Benjamin Stueur , Wang Hongzhou , Chen Peixiu , Wang Xiaofei , Ma Wenting , Li Jiaying , Tong Xin , Zhang Xiaoling 
Published: August 2023

Abstract

The ongoing increase in waste and its mismanagement is jeopardizing urban sustainability. Although a polycentric approach has been introduced in the waste governance practice, measuring the polycentricity of urban waste governance remains challenging. This paper, therefore, adopts game theory to analyze urban waste governance from the perspective of governance agents, characterizing the polycentricity of waste governance by investigating the state of equilibrium of each agent's strategy. Shanghai, Tokyo, and Hong Kong are selected as target cities for comparative analysis. It is found that the active participation of formal recyclers, informal recyclers, and householders characterizes polycentric waste governance in Shanghai. However, in Tokyo, there is the active participation of only formal recyclers and householders and not informal recyclers. In Hong Kong, by comparison, householders and informal recyclers show active participation, but formal recyclers only provide a limited contribution to polycentric waste governance. Further discussion highlights that different governance patterns, socioeconomic factors, and policy formulation shape the distinctive polycentric governance characteristics of these cities. This paper provides a model basis for measuring and comparing the features of polycentric waste governance across different cities, thereby contributing to the knowledge aggregation regarding waste governance, as well as enlightening the pathways of waste governance practice.
Intestinal Trefoil Factor 3: a new biological factor mediating gut-kidney crosstalk in Diabetic kidney disease
Authors: Zhang Tao , Zhang Yinghui , Tao Jie , Rong Xianglu , Yang Yiqi 
Published: August 2023

Abstract
Purpose
To investigate the effect of TFF3 in the pathogenesis of Diabetic Kidney Disease (DKD), and explore the changes of TFF3 dynamic expression pattern in renal injury process.
Methods
DKD animal model was established by streptozotocin (STZ) (40 mg/kg/d, ip, for 5 days, consecutively) combined with the high fat diet (HFD) for 12 weeks. While animals were sacrificed at different time stages in DKD process (at 4 weeks, 8 weeks and 12 weeks, respectively).
Results
STZ combined with high-fat diet induced weight gain, increased blood glucose and decreased glucose tolerance in DKD mice; ​compared to the control group, the DKD group exhibits amount of glycogen and collagen fibers accumulation (P < 0.05) and the renal injury was aggravated in a time-dependent manner. The TFF3 expression level was decreased in kidney, and increased in colon tissue.
Conclusion
TFF3 is not only expressed in colon, but also expressed in renal medulla and cortex. TFF3 might be play a pivotal role in renal mucosal repair by gut-kidney crosstalk, and protect renal from high glucose microenvironment damage.
Analysis of error in the peak flow of rational formula due to basin storage effect
Authors: Lee Jinwook , Yoo Chulsang 
Published: August 2023

Abstract
This study analyzes the error in the peak flow of the Rational Formula (RF) or the Modified Rational Formula (MRF). For this objective, this study derives the RF and the MRF based on a simple rainfall-runoff analysis in a rectangular basin. Additionally, the storage effect in a basin is considered by introducing a linear reservoir at the exit of the basin. The derived runoff hydrograph is found to be identical to the Clark unit hydrograph (Clark UH). That is, the RF, MRF and Clark UH are found to be related to each other in a consistent procedure of rainfall–runoff analysis. Analysis of error in the peak flow, as well as that in the peak time, of RF or MRF is done by deriving and analyzing its ratio to that of the derived Clark UH. The result shows that the error (or ratio) can be explained effectively by the Russel coefficient (α), that is, the relative role of storage effect in a basin. Obviously, the RF or MRF is acceptable only when the Russel coefficient is very small (i.e., when the storage effect is very small). For example, when \({\alpha }=0.5\), the error in peak flow of RF or MRF is 30%. The error becomes higher to be 50% when \({\alpha }=1.0\). Additionally, it is found that the sum of the two ratios, one for the peak flow and the other for the peak time, is always 2. That is, the increase rate of peak time and the decrease rate of peak flow, introduced by considering the storage effect, are always the same.
The chemical characteristics of different sodium iron ethylenediaminetetraacetate sources and their relative bioavailabilities for broilers fed a conventional corn-soybean meal diet
Authors: Wang Shengchen , Wu Bingxin , Zhu Ling , Zhang Weiyun , Zhang Liyang , Wu Wei , Wu Jiaqi , Hu Yun , Li Tingting , Cui Xiaoyan , Luo Xugang 
Published: August 2023

Abstract
Background
Our previous studies demonstrated that divalent organic iron (Fe) proteinate sources with higher complexation or chelation strengths as expressed by the greater quotient of formation (Qf) values displayed higher Fe bioavailabilities for broilers. Sodium iron ethylenediaminetetraacetate (NaFeEDTA) is a trivalent organic Fe source with the strongest chelating ligand EDTA. However, no study on the bioavailability of Fe as NaFeEDTA in broilers and other agricultural animals has been reported before. Herein, firstly, 12 NaFeEDTA products were collected, and their chemical characteristics were determined. And then, one feed grade NaFeEDTA (Qf value = 2.07 × 108), one food grade NaFeEDTA (Qf value = 3.31 × 108) and one Fe proteinate with an extremely strong chelation strength (Fe-Prot ES, Qf value = 8,590) were selected to evaluate their bioavailabilities relative to Fe sulfate (FeSO4·7H2O) for broilers fed a conventional corn–soybean meal diet during d 1 to 21 by investigating the effects of the above Fe source and added Fe level on the growth performance, hematological indices, Fe contents, activities and gene expressions of Fe-containing enzymes in various tissues of broilers.
Results
NaFeEDTA sources varied greatly in chemical characteristics. Plasma Fe concentration (PI), transferrin saturation (TS), liver Fe content, succinate dehydrogenase (SDH) activities in liver, heart and kidney, catalase (CAT) activity in liver, and SDH mRNA expressions in liver and kidney increased linearly (P < 0.05) as supplemental Fe levels increased. However, differences among Fe sources were detected (P < 0.05) only for PI, liver Fe content, CAT activity in liver, SDH activities in heart and kidney, and SDH mRNA expressions in liver and kidney. Based on slope ratios from multiple linear regressions of the above indices on daily dietary analyzed Fe intake, the average bioavailabilities of Fe-Prot ES, feed grade NaFeEDTA, and food grade NaFeEDTA relative to the inorganic FeSO4·7H2O (100%) for broilers were 139%, 155%, and 166%, respectively.
Conclusions
The relative bioavailabilities of organic Fe sources were closely related to their Qf values, and NaFeEDTA sources with higher Qf values showed higher Fe bioavailabilities for broilers fed a conventional corn-soybean meal diet.
Real-World Evidence to Support the Registration of a New Osteoporosis Medicinal Product in Europe
Authors: Davenport Colleen , Gravel Patricia , Wang Yamei , Williams Setareh , Wieland Alethea , Mitlak Bruce 
Published: August 2023

Abstract
Real-World Evidence (RWE), which has historically been used to support post approval safety studies, has recently gained acceptance for new drug applications as supportive evidence or as new clinical evidence for medicinal products with orphan designation and/or in disease areas with high unmet need. Here we present a case study for the use of RWE in the approval of abaloparatide in the European Union (EU) under the tradename Eladynos. In addition to data from the pivotal Phase 3 study, the marketing authorization application (MAA) included clinical data from additional interventional and observational studies, as well as post marketing data obtained from the United States (US) market since approval of abaloparatide by the Food and Drug Administration (FDA) in 2017. The new interventional studies were not designed to assess fracture efficacy and cardiovascular safety which were topics of concern raised by the Committee for Medicinal Products for Human Use (CHMP) during their review of the initial MAA submitted in 2015. However, these studies taken together with the RWE formed the basis for a new MAA. Prior to the planned resubmission in the EU, national Scientific Advice (SA) was sought on the proposed clinical program, specifically on the relevance of Real-World Data (RWD) from an observational study to support and complement the efficacy and safety data already available from prospective randomized clinical trials. This case study demonstrates successful use of RWD to address a previously identified evidence gap raised by the CHMP during the review of an earlier MAA, which lead to the approval of Eladynos for the treatment of osteoporosis in the EU.
Statistical Inference on the Inverse Weibull Model Parameters Based on Dual Generalized Fuzzy Order Statistics
Authors: Maswadah M. 
Published: August 2023

Abstract

In statistical inference, the parameter estimations for lifetime distribution usually deal with precise information. However, in real-world situations, experimental performance results cannot always be recorded or measured precisely, and each observable event may only be identified with a fuzzy subset of the sample space. The mean objective of this work is to apply Bayes estimation for the inverse Weibull distribution parameters, based on dual generalized fuzzy order statistics when the available observations are described by means of fuzzy information. The Bayesian estimates are compared to the maximum likelihood estimates (MLEs) and the expectation maximization (EM) estimates, via Monte Carlo simulations, in terms of the mean square errors and mean percentage errors. The results are quite favorable to Bayes’ method, which provides better estimates and outperforms the maximum likelihood and the EM estimates for different sample sizes and several values for the true parameters. Finally, a numerical example is given to demonstrate the efficiency of the proposed method.
Effects of Ovariectomy on Cognitive Function and Estrogen Receptor Expression in Hippocampus of APP/PS1 Mice
Authors: Cong Chao , Gu Zuxi , Wu Panqing , Liu Xiyu , Chen Siru , Lin Guangyao , Zhu Lijun , Li Shengnan , Xu Lianwei 
Published: August 2023

Abstract
INTRODUCTION: To investigate the effects of low estrogen environment on cognitive function and estrogen receptors in APP/PS1 mice.
METHODS: A mouse model of cognitive dysfunction under low estrogen environment was established by removing ovaries, organelle morphology in CA1 area of mouse hippocampus was observed by transmission electron microscopy, Aβ deposition level in hippocampal area was detected by immunofluorescence and sulfur staining, serum estrogen level and oxidative stress index were detected by ELISA, and estrogen receptor α and β levels were determined by western blot.
RESULTS: A low estrogen environment leads to increased Aβ deposition and decreased estrogen receptor alpha and beta levels in hippocampal tissue.
DISCUSSION: This cognitive dysfunction may be related to abnormal Aβ deposition in a low estrogen environment.
Relationship between subclinical hypothyroidism and endothelial dysfunction in patients with type 2 diabetes: A cross-sectional study
Authors: Yu Fan , Fan Hong-Qi 
Published: August 2023

Abstract
Purpose: To investigate the relationship between subclinical hypothyroidism (SCH) and vascular endothelial function in patients with type 2 diabetes mellitus (T2DM).
Methods: The reactive hyperemia index (RHI) as a surrogate marker of endothelial function was measured using a fingertip peripheral arterial tonometry device in 247 T2DM patients with or without SCH. The 75-g oral glucose tolerance test was conducted, and the brachial-ankle pulse wave velocity was measured.
Results: Compared with patients with euthyroidism (n=135), patients with SCH (n=112) had a lower RHI (1.60 ± 0.37 vs. 1.75 ± 0.41, P = 0.003), low-density lipoprotein cholesterol level (2.74 ± 0.91 vs. 2.99 ± 0.96 mmol/L, P = 0.037), estimated glomerular filtration rate (93.89 ± 23.23 vs. 100.3 ± 15.41 mL/min/1.73 m2, P = 0.016), and 30-min insulinogenic index (median, 17.76 [interquartile range: 8.72–27.75] vs. 39.40 [22.00–97.89], P < 0.001), and higher body mass index (26.13 ± 4.06 vs. 24.83 ± 3.17 kg/m2, P = 0.006) and area under the insulin curve (764.95 [493.04–1088.49] vs. 563.23 [345.71–887.20] pmol×h/L, P < 0.001). Patients with SCH was at increased risk of endothelial dysfunction (odds ratio = 2.845, 95% confidence interval: 1.090–7.427; P = 0.033), and the interaction between (BMI) and RHI (Pint = 0.02) was stronger in these patients than in patients with euthyroidism.
Conclusion: SCH is likely associated with the deterioration of endothelial function in patients with T2DM, and thus, examination of thyroid function is recommended for patients with T2DM. Further research is needed to clarify the mechanism underlying this association.
Cytoplasmic sequestering of a fungal stress-activated MAPK in response to a host plant phenolic acid
Authors: Horwitz Benjamin , Zuchman Rina , Koren Roni , Ziv Tamar , Lupu-Haber Yael , Dahan Nitsan , Levi Ofri 
Published: August 2023

Abstract

The stress-activated MAPK Hog1 inCochliobolus heterostrophus, a maize foliar pathogen, undergoes dephosphorylation upon exposure to ferulic acid (FA), a phenolic compound abundant in the host plant. Unlike its nuclear localization during osmotic stress, Hog1:GFP forms cytoplasmic foci in response to FA, indicating its sequestering. By using Hog1:GFP as an affinity purification bait, we isolated an FA-dependent sub-proteome from a subcellular fraction enriched with fluorescent foci. The identified proteins include RNA-binding proteins, translation initiation factors and mitochondrial proteins, suggesting the foci to be stress granules. Notably, the RRM and pumilio domain protein Puf2 was enriched, and Puf2:tdTomato formed foci partially colocalizing with Hog1:GFP foci. Hog1:GFP did not colocalize with peroxisomes. Mitochondria, however, which rapidly fragmented upon FA exposure, are partially overlapped with Hog1:GFP foci. The sequestering and dephosphorylation of MAPK Hog1 may collectively attenuate cell death induced by defense compounds released by the plant host.
Oligopoly in the integration of low carbon technologies and knowledge innovation
Authors: wei Mengqi , wang Jun 
Published: August 2023

Abstract
We investigate a dynamic oligopoly response model with differentiated goods and sticky prices.Basing on the double decision problem of production planning and water saving, we put forward the water resource optimization model, and give the optimal production planning, water saving decision and water purchasing decision under static Nash equilibrium, open loop Nash equilibrium, closed loop Nash equilibrium and feedback equilibrium. Finally, we analyze the impact of oligopoly competition on social welfare. And the optimal solution is simulated numerically when the parameter values change.In this manuscripts, we argue that the initial water right allocation is a dynamic variable that changes over time, and that the government can reallocate initial water rights based on real-time feedback from enterprises on water saving, use and purchase to avoid water wastage. The results show that an enterprise's production planning, water saving planning and water purchase decisions as well as the initial allocation of water rights are influenced by the initial reservation price of the product and the initial reservation price of the water right.
Practice Variation in Surgical Treatment for Lumbar Degenerative Disc Disease: Exploring Regional and Hospital Factors Influencing Surgical Rates
Authors: Munster Juliëtte J.C.M. , Halperin I. J.Y. , Ardesch Frank H. , Hout Wilbert B. , Benthem Peter Paul G. , Moojen Wouter , Peul Wilco C. 
Published: August 2023

Abstract

Introduction: The presence of significant, unwarranted variation in treatment suggests that clinical decision making also depends on where patients live instead of what they need and prefer. Historically, high practice variation in surgical treatment for lumbar degenerative disc disease (LDDD) has been documented. This study aimed to investigate whether the dissemination of evidence-based guidelines has reduced practice variation in surgical treatment of patients with LDDD.
Methods: We conducted a retrospective, cross-sectional analysis of all Dutch adults (>18 years) between 2016 and 2019. Demographic data from Statistics Netherlands were merged with a nationwide claims database, covering over 99% of the population. Inclusion criteria comprised LDDD diagnosis codes and relevant surgical codes. Practice variation was assessed at the level of postal code areas and hospital service areas (HSAs). Multivariable logistic regression analysis was employed to identify variables associated with surgical treatment.
Results: Among the 119,148 hospital visitors with LDDD, 14,840 underwent surgical treatment. Practice variation for laminectomies and discectomies showed less than two-fold variation in both postal code and HSAs. However, instrumented fusion surgery demonstrated a five-fold variation in postal code areas and three-fold variation in HSAs. Predictors of receiving surgical treatment included opioid prescription and patient referral status. Gender differences were observed, with males more likely to undergo laminectomy or discectomy, and females more likely to receive instrumented fusion surgery.
Conclusions and relevance: Our study highlights that the dissemination of evidence-based guidelines has contributed to a reduction in practice variation. High-quality research on effectiveness of instrumented fusion surgery is needed to decrease practice variation.
To Quickly Detect the Geographical Origin of Baimudan Tea by Multi-AdaBoost Model Combined with Raman Spectroscopy
Authors: Pan Wei , Liu Wenjing , Chi Yuwu 
Published: August 2023

Abstract
Multi-AdaBoost model has great potential in the field of spectral analysis. Baimudan tea is a type of white tea with superior quality. So far, the analysis of the geographical origin of Baimudan tea with the help of Raman spectroscopy combined with Multi-AdaBoost model has not been reported. In this paper, Raman spectroscopy combined with Multi-AdaBoost model was used to realize rapid, nondestructive, precise identification of the origin of Baimudan tea. Firstly, the Raman spectra of Baimudan tea from four different origins, including Fuan (FA), Fuding (FD), Zhenghe (ZH) and Songxi (SX) in Fujian, China, were collected. Then, K-Nearest Neighbor algorithm (KNN), Support Vector Machine (SVM), Multi-Layer Perceptron (MLP) and Decision Tree (DT) classifier model were constructed by the effective features extracted by Principal Component Analysis. Finally, the classifier models were also optimized by Multi-AdaBoost model. Results showed SVM model had the best performance and accuracy with the average recognition rates being 92.71%. In order to further optimize the identification effect of the model and improve its generalization ability, the DT model and SVM model were used as fitting classifiers to construct the Multi-AdaBoost-DT and Multi-AdaBoost-SVM model. Compared with the DT model, the recognition rates of Multi-AdaBoost-DT model for FA, FD, ZH and SX origin were all significantly increased and the average identification rate increased from 86.46% to 91.67%. Compared with the SVM model, the recognition rates of the Multi-AdaBoost-SVM model for FA and SX origin remained unchanged, due to the constructed model had reached local optimum. However, the recognition rates of FD and ZH origin were increased from 91.67% to 95.83%, 83.33% to 87.50%, respectively. And the average identification rate increased from 92.71% to 94.79%. The above results show that the Multi-AdaBoost-DT and Multi-AdaBoost-SVM models by reducing the weight of the samples incorrectly discriminated, constructed after repeated training are strong classifier models which can significantly improve the classification accuracy of the models and have a good prospect in the application of Raman spectral analysis. And the construct Multi-AdaBoost-SVM classifier model can effectively identify the geographical origin of Baimudan tea.