bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning‐based classifying of risk‐takers and risk‐aversive individuals using resting‐state EEG data: A pilot feasibility study
Authors: Eyvazpour Reza , Navi Farhad Farkhondeh Tale , Shakeri Elmira , Nikzad Behzad , Heysieattalab Soomaayeh 
Published: June 2023

AbstractBackgroundDecision‐making is vital in interpersonal interactions and a country's economic and political conditions. People, especially managers, have to make decisions in different risky situations. There has been a growing interest in identifying managers’ personality traits (i.e., risk‐taking or risk‐averse) in recent years. Although there are findings of signal decision‐making and brain activity, the implementation of an intelligent brain‐based technique to predict risk‐averse and risk‐taking managers is still in doubt.MethodsThis study proposes an electroencephalogram (EEG)‐based intelligent system to distinguish risk‐taking managers from risk‐averse ones by recording the EEG signals from 30 managers. In particular, wavelet transform, a time‐frequency domain analysis method, was used on resting‐state EEG data to extract statistical features. Then, a two‐step statistical wrapper algorithm was used to select the appropriate features. The support vector machine classifier, a supervised learning method, was used to classify two groups of managers using chosen features.ResultsIntersubject predictive performance could classify two groups of managers with 74.42% accuracy, 76.16% sensitivity, 72.32% specificity, and 75% F1‐measure, indicating that machine learning (ML) models can distinguish between risk‐taking and risk‐averse managers using the features extracted from the alpha frequency band in 10 s analysis window size.ConclusionsThe findings of this study demonstrate the potential of using intelligent (ML‐based) systems in distinguish between risk‐taking and risk‐averse managers using biological signals.
Deconvolution of bulk gene expression profiles reveals the association between immune cell polarization and the prognosis of hepatocellular carcinoma patients
Authors: Chiu Yen‐Jung , Ni Chung‐En , Huang Yen‐Hua 
Published: June 2023

AbstractBackgroundMany studies have utilized computational methods, including cell composition deconvolution (CCD), to correlate immune cell polarizations with the survival of cancer patients, including those with hepatocellular carcinoma (HCC). However, currently available cell deconvolution estimated (CDE) tools do not cover the wide range of immune cell changes that are known to influence tumor progression.ResultsA new CCD tool, HCCImm, was designed to estimate the abundance of tumor cells and 16 immune cell types in the bulk gene expression profiles of HCC samples. HCCImm was validated using real datasets derived from human peripheral blood mononuclear cells (PBMCs) and HCC tissue samples, demonstrating that HCCImm outperforms other CCD tools. We used HCCImm to analyze the bulk RNA‐seq datasets of The Cancer Genome Atlas (TCGA)‐liver hepatocellular carcinoma (LIHC) samples. We found that the proportions of memory CD8+ T cells and Tregs were negatively associated with patient overall survival (OS). Furthermore, the proportion of naïve CD8+ T cells was positively associated with patient OS. In addition, the TCGA‐LIHC samples with a high tumor mutational burden had a significantly high abundance of nonmacrophage leukocytes.ConclusionsHCCImm was equipped with a new set of reference gene expression profiles that allowed for a more robust analysis of HCC patient expression data. The source code is provided at https://github.com/holiday01/HCCImm.
Psychological states and needs among post‐allogeneic hematopoietic stem cell transplantation survivors
Authors: Yanling Sun , Pu Yan , Duorong Xu , Zhiyong Zhong , Ting Xu , Wenjun Xin , Xiangzhong Zhang , Jingwen Zhang 
Published: June 2023

AbstractObjectivesTo analyze psychological states and needs of patients after allogeneic hematopoietic stem cell transplantation (allo‐HSCT).MethodsQuestionnaires were sent to 101 allo‐HSCT survivors and 96 questionnaires were returned. The questionnaire covered several categories: (1) demographics and general information, (2) physical conditions, (3) psychologic status and sleep quality, (4) survivor's comments on transplantation, (5) demands and needs, (6) preferred forms and channels of information.ResultsDepression and poor sleep quality were major concerns troubling allo‐HSCT survivors. A notable discrepancy exists between clinically diagnosed depression (4.2%) and self‐ reported depression based on BDI‐13 (55.2%). Young adults (18–49 years old), chronic graft‐versus‐host disease, the ECOG performance score of 2–4, surviving within 5 years since HSCT, no or low dose of ATG used and being single were significantly associated with self‐reported depression. Based on the PSQI score, 75% of survivors experienced varying degrees of sleep quality impairment. Young adults, chronic GVHD and the ECOG score of 2–4 were significantly associated with worse sleep quality. The majority of patients reported unmet needs on physical and psychosocial aspects. Nutrition information was the most important topic, followed by disease treatments and fatigue. Differences in informational needs were found in the survivors according to age, time since HSCT and gender. WeChat public account and WeChat applet, mobile interactive platform and one‐to‐one conversation were the favorite channel for information.ConclusionsClinicians should establish more appropriate survivorship care plans focusing on survivors' psychologic states, demands and needs.
Clinical characteristics, tumor‐infiltrating lymphocytes, and prognosis in HER2‐low breast cancer: A comparison study with HER2‐zero and HER2‐positive disease
Authors: Lu Yujie , Tong Yiwei , Fei Xiaochun , Chen Xiaosong , Shen Kunwei 
Published: June 2023

AbstractIntroductionHER2‐low breast cancer is a gradually recognized and unexplored group of diseases. We aimed to investigate the clinical and prognosis features and to identify the role of stromal tumor‐infiltrating lymphocytes (sTILs) in this population.MethodsConsecutive primary breast cancer patients treated between January 2009 to June 2013 were retrospectively reviewed. HER2‐low was defined as immunohistochemistry (IHC) 1+, or 2+ and fluorescence in situ hybridization (FISH) negative. sTILs were scored following the international guidelines. Clinicopathologic features and survival were compared according to HER2 and sTILs category.ResultsA total of 973 breast cancer patients were enrolled, including 615 (63.2%) HER2‐low patients. HER2‐low patients shared more similarity with HER2‐0 cases in clinicopathological features. sTILs in HER2‐Low patients was comparable to HER2‐0 patients (p = 0.064), both significantly lower than HER2‐positive ones (p < 0.001). Meanwhile, tumors with sTILs ≥50% accounted for the least proportion of HER2‐low cases (p < 0.001). HER2 status had no significant influence on recurrence‐free survival (RFS, p = 0.901) in the whole population. However, in the estrogen receptor (ER)‐negative subgroup, HER2‐low was related to worse RFS (p = 0.009) and OS (p = 0.001) compared with HER2‐positive ones. sTILs increment was an independent favorable prognostic factor in the whole (OS, p = 0.003; RFS, p = 0.005) and HER2‐low population (OS, p = 0.007; RFS, p = 0.009) after adjusted to clinicopathological parameters.ConclusionsHER2‐low patients shared similar clinicopathological features with HER2‐0 rather than HER2‐positive cases and had relatively low sTILs. ER‐negative/HER2‐low patients had significantly inferior survival. sTILs increment was independently associated with favorable survival in the HER2‐low group, suggesting a potential benefit from a novel treatment strategy.
Beacons of democratic ideals: How critical community college leaders can promote civic discourse and engage for the public good
Authors: Al‐Sharif Mary Ann Bodine , Schiffecker Sarah Maria , García Hugo Alberto 
Published: June 2023

AbstractThis chapter explores the ways in which critical community college leaders leveraged their leadership position in order to promote civic discourse and engagement in their institutions and respective communities. Five community college presidents from diverse communities across the United States were interviewed using a narrative inquiry approach to excavate the factors that enhance and promote civic discourse and engagement. The findings reveal that indeed community college presidents held a unique position within both their communities and institutions. The navigation of the power, the politics among differing relationships, and the ability to remain humble within their roles were themes that emerged as central to what it means to be a community (college) leader with trust constituting the overarching requirement.
Case of calcinosis cutis associated with Sjogren's syndrome
Authors: Gonzalez‐Ramos Keysha , Ramsubeik Karishma , Kaeley Gurjit 
Published: June 2023

Key Clinical MessageCalcinosis cutis is a chronic condition involving skin and soft tissue deposition of calcium and phosphate. It is associated with several conditions including idiopathic, iatrogenic, malignant metastasis, calciphylaxis, and connective tissue diseases. The most common connective tissue diseases it is associated with include systemic sclerosis and dermatomyositis. We present a case image of a patient with Sjogren's syndrome and calcinosis cutis and its progression over time. The patient was optimized on her current treatment regimen to prevent further progression. Written informed consent was obtained from the patient to publish this report in accordance with the journal's patient consent policy.
Shift‐invariant tri‐linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data
Authors: Schneide Paul‐Albert , Bro Rasmus , Gallagher Neal B. 
Published: June 2023

AbstractMulti‐way data analysis is popular in chemometrics for the decomposition of, for example, spectroscopic or chromatographic higher‐order tensor datasets. Parallel factor analysis (PARAFAC) and its extension, PARAFAC2, are extensively employed methods in chemometrics. Applications of PARAFAC2 for untargeted data analysis of hyphenated gas chromatography coupled with mass spectrometric detection (GC‐MS) have proven to be very successful. This is attributable to the ability of PARAFAC2 to account for retention time shifts and shape changes in chromatographic elution profiles. Despite its usefulness, the most common implementations of PARAFAC2 are considered quite slow. Furthermore, it is difficult to apply constraints (e.g., non‐negativity) to the shifted mode in PARAFAC2 models. Both aspects are addressed by a new shift‐invariant tri‐linearity (SIT) algorithm proposed in this paper. It is shown on simulated and real GC‐MS data that the SIT algorithm is 20–60 times faster than the latest PARAFAC2‐alternating least squares (ALS) implementation and the PARAFAC2‐flexible coupling algorithm. Further, the SIT method allows the implementation of constraints in all modes. Trials on real‐world data indicate that the SIT algorithm compares well with alternatives. The new SIT method achieves better factor resolution than the benchmark in some cases and tends to need fewer latent variables to extract the same chemical information. Although SIT is not capable of modeling shape changes in elution profiles, trials on real‐world data indicate the great robustness of the method even in those cases.
A review of prospects and challenges of photocatalytic decomposition of volatile organic compounds (VOCs) under humid environment
Authors: Masresha Girma , Jabasingh S. Anuradha , Kebede Shimelis , Doo‐Arhin David , Assefa Mekdim 
Published: June 2023

AbstractVolatile organic compounds (VOCs) are harmful for humans and the surrounding ecosystem. Emissions from these pollutants have caused a significant reduction in air quality, which has an effect on people's health. Alkanes, alkenes, alcohols, aromatics, and other VOC pollutants have all been broken down by TiO2 photocatalytic processes. Due to several operating inefficiencies and deactivation issues in humid environments, the practical application of photocatalysis has not been realized on a broader scale. The effectiveness of photo‐oxidation of VOCs is impacted by a variety of environmental conditions. In the photocatalytic oxidation of the VOCs, relative humidity (RH) is critical. Therefore, it is important to review the recent findings on how humidity affects the photocatalytic breakdown of VOCs in air. To satisfy this need, this work provides a critical review of the related literature with focus on the fundamentals of photocatalysis, photocatalytic degradation of air pollutants, and the influence of humidity on the photocatalytic process degradation for selected air pollutants. It also highlights the kinetic models and typical photocatalytic reactor and supports for VOC removal.
Engineering Colloidal Metal‐Semiconductor Nanorods Hybrid Nanostructures for Photocatalysis†
Authors: Chen Jiayi , Hao Derek , Chen Wei , Liu Yazi , Yin Zongyou , Hsu Hsien‐Yi , Ni Bing‐Jie , Wang Aixiang , Lewis Simon W. , Jia Guohua 
Published: June 2023

Comprehensive SummaryEmerging engineering strategies of colloidal metal‐semiconductor nanorod hybrid nanostructures spanning from type, size, dimension, and location of both metal nanoparticles and semiconductors, co‐catalyst, band gap structure, surface ligand to hole scavenger are elaborated symmetrically to rationalize the design of this type of intriguing materials for efficient photocatalytic applications.
Evaluation of industrial network robustness against targeted attacks
Authors: Alrumaih Thuraya N. I. , Alenazi Mohammed J. F. 
Published: June 2023

SummaryDeveloping a long‐lasting, secure Industry 4.0 system presents a significant challenge for businesses and other interested parties. Industrial control systems (ICSs) are particularly vulnerable to cybercrime because of the operating systems' excessive availability and high robustness requirements. This research investigates five graph‐theory‐based measures to evaluate the robustness of industrial network topologies against three centrality‐based attacks and one random attack. Experiments are conducted to examine the three levels of the ICS network topology, from the field devices to the controllers and the enterprise devices. The results are twofold. On the one hand, the closeness‐based attack is the most harmful since it has the highest destructive potential and needs to attack only half of the total nodes in the network to reach the lowest robustness level. The betweenness‐based attack follows closely in terms of destruction, whereas the degree‐based attack is less destructive but rapidly degrades the robustness of the network. On the other hand, the flow robustness measure provides the best performance in the presence of any of the studied attacks, showing strong perception of robustness reduction when only one percent of the total nodes in the network are attacked. For this reason, the flow robustness measure is suitable to identify and locate the targeted attacks at their early stages, preventing them from becoming more catastrophic. Finally, the results suggest that the industrial network security system should combine at least two measures to ensure robustness against the most destructive attacks and their early‐stage detection. The research also confirmed the results by implementing attacks and measures on a real gas transmission network.
Oreocharis oriolus, a new species of Gesneriaceae in a sclerophyllous oak community from Yunnan, Southwest China
Authors: Hu Jun , Zhang Jun‐Yi , He Hai , Yu Ding‐Xiang , Jiang Hong , Liu Qing , Wen Fang 
Published: June 2023

AbstractOreocharis oriolus, a new species of Gesneriaceae in a sclerophyllous oak community from Yunnan, Southwest China, is described and illustrated. Morphologically, it resembles both O. forrestii and O. georgei, while it is distinct in combined characters of wrinkled leaves, peduncle and pedicel covered with whitish and egladular villous hairs, bract lanceolate and nearly glabrescent adaxially, and staminode absent. Molecular phylogenetic analysis based on nuclear ribosomal internal transcribed spacer (nrITS) and chloroplast DNA fragment (trnL‐F) of 61 congeneric species also supported O. oriolus as a new species while it was nested with O. delavayi. It was currently assessed as ‘Critically Endangered’ (CR) regarding to its small‐sized population and narrow distribution following the IUCN categories and criteria.
Zfp362 potentiates murine colonic inflammation by constraining Treg cell function rather than promoting Th17 cell differentiation
Authors: Herppich Susanne , Hoenicke Lisa , Kern Fabian , Kruse Friederike , Smout Justine , Greweling‐Pils Marina C. , Geffers Robert , Burton Oliver T. , Liston Adrian , Keller Andreas , Floess Stefan , Huehn Jochen 
Published: June 2023

AbstractMucosal barrier integrity and pathogen clearance is a complex process influenced by both Th17 and Treg cells. Previously, we had described the DNA methylation profile of Th17 cells and identified Zinc finger protein (Zfp)362 to be uniquely demethylated. Here, we generated Zfp362−/− mice to unravel the role of Zfp362 for Th17 cell biology. Zfp362−/− mice appeared clinically normal, showed no phenotypic alterations in the T‐cell compartment, and upon colonization with segmented filamentous bacteria, no effect of Zfp362 deficiency on Th17 cell differentiation was observed. By contrast, Zfp362 deletion resulted in increased frequencies of colonic Foxp3+ Treg cells and IL‐10+ and RORγt+ Treg cell subsets in mesenteric lymph nodes. Adoptive transfer of naïve CD4+ T cells from Zfp362−/− mice into Rag2−/− mice resulted in a significantly lower weight loss when compared with controls receiving cells from Zfp362+/+ littermates. However, this attenuated weight loss did not correlate with alterations of Th17 cells but instead was associated with an increase of effector Treg cells in mesenteric lymph nodes. Together, these results suggest that Zfp362 plays an important role in promoting colonic inflammation; however, this function is derived from constraining the effector function of Treg cells rather than directly promoting Th17 cell differentiation.
Fully functional monocytic MDSC generation from the murine HoxB8 cell line
Authors: Alattar Haisam , Xu Huaming , Zenke Martin , Lutz Manfred B. 
Published: June 2023

AbstractMyeloid‐derived suppressor cells (MDSC) play a crucial role in controlling T‐cell responses, but their development and suppressor mechanisms are not fully understood. To study the molecular functions of MDSC, a large number of standardized cells are required. Traditionally, bone marrow (BM) has been used to generate myeloid cell types, including MDSC. In this study, we demonstrate that a previously described protocol for generating monocytic MDSC (M‐MDSC) from murine BM with GM‐CSF can be fully transferred to BM cells that are conditionally transformed with HoxB8 gene (HoxB8 cells). HoxB8 cells have an extended lifespan and efficiently differentiate into MDSC that are quantitatively and qualitatively comparable to M‐MDSC from BM cells. Flow cytometric analyses of LPS/IFN‐γ activated cultures revealed the same iNOS+ and/or Arg1+ PD‐L1high M‐MDSC subsets in similar frequencies from BM or HoxB8 cells. In vitro suppression of CD4+ and CD8+ T‐cell proliferations was also largely comparable in their efficacy and its iNOS‐ or Arg1‐dependent suppressor mechanisms, which was confirmed by the similar amounts of nitric oxide (NO) secretion measured from the suppressor assay. Therefore, our data suggest that murine M‐MDSC generation from HoxB8 cells with GM‐CSF can be used to substitute BM cultures.
Study on catalytic degradation of toluene by copper manganese composite oxide
Authors: Xia Daoran , Zhang Zhihong 
Published: June 2023

AbstractHerein, Cu–Mn catalysts were used to study the catalytic oxidation system of toluene, revealing the optimal preparation conditions for catalytic oxidation of toluene and the effects of other factors on catalytic performance (oxygen concentration, toluene concentration, temperature, humidity, space velocity). The as‐synthesized Cu2Mn1Ox exhibited the best catalytic activity and stability. The BET, XRD, and O2‐TPD results indicated that the synthesized Cu2Mn1 catalyst can effectively form the Cu1.4Mn1.6O4 phase at the optimal calcination temperature (500–600°C) and accelerate the toluene degradation at 220°C. Although water vapor can promote the progress of catalytic reactions, excessive water vapor tends to form competitive adsorption at active sites, inhibiting the progress of catalytic reactions. In addition, oxygen concentration plays a key role in catalytic reactions. Based on the results, it was found that at lower oxygen concentrations or higher toluene concentrations, the catalyst was easy to react with toluene to generate Cu and MnO, resulting in catalyst deactivation.
Uncertainty analysis–forecasting system based on decomposition–ensemble framework for PM2.5 concentration forecasting in China
Authors: Qu Zongxi , Hao Xiaogang , Zhao Fazhen , Niu Chunhua 
Published: June 2023

AbstractPractical analysis and forecasting of PM2.5 concentrations is complex and challenging owing to the volatility and non‐stationarity of PM2.5 series. Most previous studies mainly focused on deterministic predictions, whereas the uncertainty in the prediction is not considered. In this study, a novel uncertainty analysis–forecasting system comprising distribution function analysis, intelligent deterministic prediction, and interval prediction is designed. Based on the characteristics of PM2.5 series, 16 hybrid models composed of various distribution functions and swarm optimization algorithms are selected to determine the exact PM2.5 distribution. Subsequently, a hybrid deterministic forecasting model based on a novel decomposition–ensemble framework is established for PM2.5 prediction. Regarding uncertainty analysis, interval prediction is established to provide uncertain information required for decision–making based on the optimal distribution functions and deterministic prediction results. PM2.5 concentration series obtained from three cities in China are used to conduct an empirical study. The empirical results show that the proposed system can achieve better prediction results than other comparable models as well as provide meaningful and practical quantification of future PM trends. Hence, the system can provide more constructive suggestions for government administrators and the public.