bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circular supply chain practices, big data implementation and firm performance: Mediating role of digital technology
Authors: Kiran Faiza , Sahin Bekir 
Published: August 2023

AbstractThe business practices such as supply chains have been transformed significantly due to technological advancement and digitalization. It helps enhance organizational efficiency in consumption, production, and overall operation. Additionally, big data within the supply chain management process has considerably assisted businesses in gathering accurate product information, easily tracing a product, maintaining track of distribution cycles and delivering goods as quickly as possible. The research investigates the impact of the circular supply chain (CSC) and big data implementation on firm performance, specifically in the Pakistan Manufacturing Sector. Further, it has investigated digital technologies' mediating role in the firm's performance in the Pakistan manufacturing sector. The research was conducted using quantitative data from the questionnaire survey from 400 participants (i.e., firm managers) working in the Pakistan manufacturing sector. The data were analyzed using the structural equation modeling comprising confirmatory factor analysis and path analysis using SmartPLS. Findings show a negative and significant influence of CSC practices on firm performance in the manufacturing sector of Pakistan. On the contrary, big data implementation positively and significantly impacts the firms' performance. Further, the mediating role of digital technology over firm performance through CSC practices and big data implementation was also found to be positive and significant. The research has contributed to the present state of literature in different ways. First, the research presented the mediating role of digital technologies in the relationship between CSC and big data implementation and firm performance.
The effect of ultrafine WO3 nanoparticles on the organization of thylakoids enriched in photosystem II and energy transfer in photosystem II complexes
Authors: Krysiak S. , Gotić M. , Madej E. , Moreno Maldonado A. C. , Goya G. F. , Spiridis N. , Burda K. 
Published: August 2023

AbstractIn this work, a new approach to construct self‐assembled hybrid systems based on natural PSII‐enriched thylakoid membranes (PSII BBY) is demonstrated. Superfine m‐WO3 NPs (≈1–2 nm) are introduced into PSII BBY. Transmission electron microscopy (TEM) measurements showed that even the highest concentrations of NPs used did not degrade the PSII BBY membranes. Using atomic force microscopy (AFM), it is shown that the organization of PSII BBY depends strongly on the concentration of NPs applied. This proved that the superfine NPs can easily penetrate the thylakoid membrane and interact with its components. These changes are also related to the modified energy transfer between the external light‐harvesting antennas and the PSII reaction center, shown by absorption and fluorescence experiments. The biohybrid system shows stability at pH 6.5, the native operating environment of PSII, so a high rate of O2 evolution is expected. In addition, the light‐induced water‐splitting process can be further stimulated by the direct interaction of superfine WO3 NPs with the donor and acceptor sides of PSII. The water‐splitting activity and stability of this colloidal system are under investigation.Research Highlights
The phenomenon of the self‐organization of a biohybrid system composed of thylakoid membranes enriched in photosystem II and superfine WO3 nanoparticles is studied using AFM and TEM.
A strong dependence of the organization of PSII complexes within PSII BBY membranes on the concentration of NPs applied is observed.
This observation turns out to be crucial to understand the complexity of the mechanism of the action of WO3 NPs on modifications of energy transfer from external antenna complexes to the PSII reaction center.
Reproductive decision‐making and the utilization of preimplantation genetic testing among individuals with inherited aortic or vascular disease
Authors: Patton Kaleigh , Wong Eugene K. , Cirino Allison L. , Dobson Lori J. , Harris Stephanie 
Published: August 2023

AbstractPreimplantation genetic testing for monogenic disorders (PGT‐M) is a reproductive technology used in conjunction with in‐vitro fertilization (IVF) to reduce the risk of passing on a known genetic condition from parent to child. There is limited research describing the experience and emotional impact of PGT‐M among individuals with inherited aortic or vascular disease (IAVD). Our qualitative study aims to explore the factors that influence reproductive decision‐making and the uptake of PGT‐M within this population. Individuals diagnosed with IAVD who have considered PGT‐M, and/or their reproductive partner, were recruited using internal clinical databases and advocacy organizations. Virtual semi‐structured interviews were conducted using an interview guide that included questions related to participants' lived experience of their condition, risk perception, reproductive history, familiarity with PGT‐M/IVF, and financial/psychosocial considerations. A total of 17 interviews were completed (13 affected individuals, 4 unaffected partners) and analyzed using thematic analysis. Emergent themes included: (1) the lived experience and perceived severity of disease; (2) need for comprehensive, balanced, and timely information; (3) and impact of personal values and circumstances. When discussing the impact of lived experience on reproductive decision‐making, participants identified the physical and emotional impact of disease and variability of disease as factors influencing the uptake of PGT‐M. Many described PGT‐M as the only reproductive option presented to them by providers. Even so, participants expressed gaps in their understanding of PGT‐M, particularly regarding cost/insurance coverage and the experience of IVF. Finally, participants recognized that the decision to pursue PGT‐M primarily requires introspection and evaluation of one's values, but that cost remains a significant consideration. The findings from our study highlight the complexity of reproductive decision‐making for individuals with IAVD and provide insight into their psychological and informational needs when engaging in this process. Providers can use these findings to tailor their discussions about reproductive decision‐making with this patient cohort.
Identification of neutrophil‐related genes and development of a prognostic model for cholangiocarcinoma
Authors: Li Jianfeng , Xiong Jianhui , Wei Lin , Zhang Mengyang , Yi Jian , Liu Longzi 
Published: August 2023

AbstractBackgroundCholangiocarcinoma is a prevalent gastrointestinal tumor with limited effective early diagnostic methods. The role of neutrophils in the context of cholangiocarcinoma remains largely unexplored.MethodsA comprehensive analysis was performed on a cohort of cholangiocarcinoma samples (TCGA‐CHOL) from the TCGA database to investigate the relationship between cholangiocarcinoma and neutrophils. Methodologies included single‐sample gene set enrichment analysis (ssGSEA), differential expression analysis, weighted gene co‐expression network analysis (WGCNA) and gene set enrichment analysis (GSEA).ResultsThe study identified a significant decrease of neutrophils in cholangiocarcinoma via ssGSEA. WGCNA and differential expression analysis led to the identification of a neutrophil‐related gene module comprised of 1059 genes. Cluster 1, showing a higher proportion of neutrophils, was linked to better survival outcomes. GSEA disclosed downregulation of complement, inflammatory response and interferon response pathways in Cluster 2, hinting at possible cholangiocarcinoma development triggers. A notable upregulation of PD1, PD‐L1 and CTLA4 was observed in Cluster 1, suggesting potential benefits from immunotherapy. A prognostic model was developed based on clinical data and expression levels of three prognostic genes (SOWAHD, TNFAIP8 and EBF3) showing satisfactory discrimination, calibration and clinical benefits. An overexpression of TNFAIP8 in cholangiocarcinoma cells was found, with its knockdown significantly inhibiting cell proliferation and migration.ConclusionsThis study elucidates a neutrophil‐related gene module and prognostic genes, offering insights into the role of neutrophils in cholangiocarcinoma development and progression. It also introduces a clinical prediction model for enhanced prognosis assessment. These findings may lay the groundwork for the development of innovative therapeutic strategies in cholangiocarcinoma treatment.
Difficult‐to‐treat patients with relapsed/refractory multiple myeloma: A review of clinical trial results
Authors: Raab Marc S. , Zamagni Elena , Manier Salomon , Rodriguez‐Otero Paula , Schjesvold Fredrik , Broijl Annemiek 
Published: August 2023

AbstractOverall outcomes for multiple myeloma have improved due to the availability of new therapies, but patients with relapsed/refractory multiple myeloma harbouring certain factors continue to pose a therapeutic challenge. These challenging features include high‐risk cytogenetics, renal impairment, patient characteristics such as age and frailty, and extramedullary disease. Prior refractory status and number of prior lines add further complexity to the treatment of these patients. While newer regimens are available and have suggested efficacy in these patient populations through subgroup analyses, differences in trial definitions and cut‐offs make meaningful comparisons difficult. This review aims to examine the available clinical trial data for patients with high‐risk cytogenetics, renal impairment, age and frailty and extramedullary disease.
Homogenization and interpolation of relative humidity hourly values with MASH and MISH software
Authors: Izsák Beatrix 
Published: August 2023

AbstractTo understand and study the climate, there is a need to create high‐quality climatological databases. At the Climate Department of the OMSZ (Hungarian Meteorological Service), we use MASH (Multiple Analysis of Series of Homogenization) and MISH (Meteorological Interpolation based on Surface Homogenized Data Basis) software to produce a spatially and temporally representative database. However, these systems were developed for daily and monthly data series, so some improvements were required when applying them to hourly relative humidity data. The problem relates to the issue of the daily cycle. The aim of this article is to show how the data set of hourly values of the relative humidity measurements was prepared. To construct the grid point database, a homogenized data set of 41 stations for the period 1961–2020 was used; this was then interpolated into to a regular grid with a resolution of 0.1°. At the end of the study, the hourly and daily data gridded series are compared.
Volatile compounds produced in smoked bacon inoculated with potential spoilage bacteria
Authors: Li Xinfu , Sun Yun , Xiong Qiang 
Published: August 2023

AbstractBACKGROUNDVolatile organic compounds (VOCs) produced during meat storage are mainly derived from the decomposition of meat components and the metabolism of spoilage bacteria. VOCs produced in sterile bacon model substrate inoculated or un‐inoculated with spoilage bacteria, Staphylococcus xylosus (P2), Leuconostoc mesenteroides (P6), Carnobacterium maltaromaticum (P9), Leuconostoc gelidum (P16) and Serratia liquefaciens (P20), previously isolated, were identified by headspace solid‐phase microextraction (HS‐SPME) coupled with gas chromatography–mass spectrometry (GC–MS). Furthermore, combinations of the strains (Pm) were also obtained.RESULTSIn total, 54 volatile compounds, including aldehydes, alcohols, phenols, ketones, alkanes, alkanes, organic acids, esters and so forth, were determined after 45 days of storage in bacon inoculated with potential spoilage bacteria using the HS‐SPME/GC–MS method. VOC concentrations of alcohols and organic acids in groups inoculated with bacteria were remarkably higher (P < 0.05) compared to that in control samples. Specifically, some VOCs are closely related to the metabolic activity of the inoculated bacterial strains; for example, 2,3‐butanediol was associated with P2, P16 and P20, and acetic acid was mainly related to P6 and P9.CONCLUSIONThe results of partial least squares regression indicated that there was a high correlation between the electronic nose sensors and VOCs of smoked inoculated potential spoilage bacteria. These compounds are potentially important for predicting deterioration of smoked bacon. © 2023 Society of Chemical Industry.
Nutritional, chemical, and antioxidant screening of selected varieties of lentils (Lens culinaris spp.) from organic and conventional agriculture
Authors: Liberal Ângela , Almeida Daiana , Fernandes Ângela , Pereira Carla , Ferreira Isabel CFR , Vivar‐Quintana Ana María , Barros Lillian 
Published: August 2023

AbstractBACKGROUNDLentils are an ancient legume established worldwide for direct consumption and with great potential for application in food processing. In addition, it is a sustainable crop owing to its ability to scavenge nitrogen and carbon, and it improves the nutrient status of the soil. A diet rich in lentils has been linked to significant health benefits. However, the composition of lentils can be influenced by both the lentil variety and the growing conditions. The aim of this work was to evaluate the nutritional profiles and antioxidant potential, as well as the impact that the type of cultivation (conventional or organic) and the variety could have on these parameters, in different lentil varieties.RESULTSOverall, carbohydrates are the major macronutrients in all varieties, with notable amounts of fibre (11.62–27.36%) and starch (41.98–50.27%). High amounts of protein and ash were also identified, particularly in the Beluga variety, with 21.9–23.3 and 1.38–1.82 g 100 g−1 fresh weight, respectively. Fructose and sucrose were detected (high‐performance liquid chromatography (HPLC) with refraction index detection), along with oxalic, quinic, malic, and shikimic acids (ultra‐fast liquid chromatography with photodiode array detection), and α‐ and γ‐tocopherol isoforms (HPLC with fluorescence detection). Fatty acid methyl ester assessment showed the prevalence of polyunsaturated fatty acids (33.5–46.3%). Good antioxidant capacity (thiobarbituric acid reactive substances and oxidative haemolysis inhibition assay) was also noted.CONCLUSIONThe results obtained showed that all the varieties analysed are an excellent source of fibre and have a good antioxidant capacity. Lentil variety has a greater influence on its nutritional composition than the type of cultivation. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Response of bacterial community characteristics in the rhizosphere soil of Stellera chamaejasme L. to its expansion on the Qinghai‐Tibet Plateau
Authors: Hu Hanying , Sun Haoran , Wu Jinghui , Liu Jiayi , Jin Hong , Tao Ke 
Published: August 2023

AbstractQinghai‐Tibet Plateau is facing a serious environmental and ecological problem of Meadow degradation. Toxic weed invasion is a typical characteristic of grassland degradation. Soil microbial community composition is sensitive to environmental changes; however, the effects of poisonous weed expansion on soil bacterial communities are unclear. Here, we investigated the effects of Stellera chamaejasme L. expansion on the rhizosphere soil bacterial community structure and function using high‐throughput sequencing. The results showed that expansion of Stellera chamaejasme L. changed soil nitrogen(e.g., total nitrogen [TN, −39.02%], available nitrogen [AN, −32.95%]) and other soil nutrients. Redundancy analysis (RDA) and Variance partitioning analysis (VPA) showed that soil nutrients changed, leading to significant changes in the bacterial community structure. The expansion of Stellera chamaejasme L significantly reduced its rhizosphere bacterial alpha diversity, and the beta diversity had significant differences (p < 0.05). Principal coordinates analysis (PCoA) and analysis of similarity (ANOSIM) indicated that the expansion caused significant variations in the rhizosphere bacterial community (R = 0.7037, p < 0.01). The linear discriminant analysis (LDA) effect size (LEfSe) analysis identified 23 biomarkers, most of which were Proteobacteria, indicating that bacteria involved in soil nutrient cycling were better able to survive in the alpine grassland. The Biolog EcoPlate method was used to determine the soil microbial metabolic capacity in different S. chamaejasme expansions. The result showed that heavy expansion had higher carbon source usage ability and microbial diversity index values. Furthermore, it was also found that heavy expansion improved the usage rate of amino acid carbon sources. Tax4Fun prediction analysis further indicated that carbohydrate metabolism, amino acid metabolism, and membrane transport were central metabolic pathways of rhizosphere soil bacteria. Our study found that Stellera chamaejasme L. changed rhizosphere soil nutrient and bacterial community structure during expansion and helped it tolerate harsh conditions by enriching bacterial communities actively involved in carbon and nitrogen metabolism and promoting plant growth. These findings provided evidence to propose effective restoration measures for poisonous grassland degradation.
Microstructure‐Driven Self‐Sorting of Chemically Indistinguishable Side Chains in Pre‐Programmed Alkyl Siloxanes Leading to Amplification of Mechanical Properties
Authors: Negi Lalit M.S. , Hebbar Raghavendra , Dalavoy Tulika , Lewis Kenrick M , Farhan Reema , V. Rohith , Gowd E. Bhoje , Vasimalai Nagamalai , Sarkar Alok , Dasgupta Debarshi 
Published: August 2023

AbstractA unique microstructure‐driven self‐sorting of chemically indistinguishable side chains in alkyl siloxanes is reported for the first time. The difference in cooperativity among the side alkyl chains caused by the variation in backbone microstructure is the key to drive this self‐sorting. The study also reveals that while alkyl chains of random and fully blocked siloxane discriminate each other, the alkyl chains of partially blocked siloxane can form crystals with both polymers resulting in reinforcement of the mechanical property of the blends.
Hyaluronic Acid Based Azo Polymer: Synthesis, Characterization, and Photo‐Responsiveness
Authors: Li Heting , Qiao Grace , Zhang Wenlong , He Yaning 
Published: August 2023

AbstractHyaluronic acid based azo polymer (HA‐Azo‐COOH) is synthesized by post‐azo coupling reaction. Controllable grafting percent of azobenzene pendant is achieved by adjusting the feed ratio. In selective solvents (dimethyl sulfoxide/water), uniform colloidal aggregates of the prepared polymer can be obtained by self‐assembly process. The self‐assembled colloids can be elongated along the polarization direction of the irradiation laser light. The relationship between the deformation of colloids and the irradiation time is explored.
Doping Engineering of Conductive Polymers and Their Application in Physical Sensors for Healthcare Monitoring
Authors: Guo Xin , Sun Yuqiong , Sun Xidi , Li Jiean , Wu Jing , Shi Yi , Pan Lijia 
Published: August 2023

AbstractPhysical sensors have emerged as a promising technology for real‐time healthcare monitoring, which tracks various physical signals from the human body. Accurate acquisition of these physical signals from biological tissue requires excellent electrical conductivity and long‐term durability of the sensors under complex mechanical deformation. Conductive polymers, combining the advantages of conventional polymers and organic conductors, are considered ideal conductive materials for healthcare physical sensors due to their intrinsic conductive network, tunable mechanical properties, and easy processing. Doping engineering has been proposed as an effective approach to enhance the sensitivity, lower the detection limit, and widen the operational range of sensors based on conductive polymers. This approach enables the introduction of dopants into conductive polymers to adjust and control the microstructure and energy levels of conductive polymers, thereby optimizing their mechanical and conductivity properties. This review article provides a comprehensive overview of doping engineering methods to improve the physical properties of conductive polymers and highlights their applications in the field of healthcare physical sensors, including temperature sensors, strain sensors, stress sensors, and electrophysiological sensing. Additionally, the challenges and opportunities associated with conductive polymer‐based physical sensors in healthcare monitoring are discussed.
The framework of Hammer (CAFÉ) credit rating for capital markets in China with international credit rating standards
Authors: Yuan George X. , He Hua , Liu Haiyang , Zhou Yunpeng , Chen Wen 
Published: August 2023

AbstractThe goal of this paper is to discuss how we establish the so‐called “Hammer (CAFÉ) Credit System” by applying the Gibbs sampling algorithm under the framework of a big data approach supported by both traditional structured and unstructured data as a breakthrough, in particular, to extract those highly related risk features in depicting default (bad) events and related fraudulent behaviors (action) by following the “five step principle” incorporated with the international credit rating standards in the practice. The analysis shows that our Hammer (CAFÉ) Credit System is able to handle current three issues raised by the credit rating business for capital markets in China, which are as follows: (1) The rating is falsely high, (2) the differentiation of credit rating grades is insufficient, and 3) the performance in predicting early warning and related issues is poor. In addition, the Hammer (CAFÉ) credit discussed in this paper is supported by clearly defining the “BBB” grade rate as the basic investment level associated with the annualized rate of default probability, and the credit transition matrix for “AAA‐A” to “CCC‐C” credit grades in accordance with international standards used in the practice of risk management and decision services.