bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low‐cost air quality monitoring networks for long‐term field campaigns: A review
Authors: Carotenuto F. , Bisignano A. , Brilli L. , Gualtieri G. , Giovannini L. 
Published: November 2023

AbstractThe application of low‐cost air quality monitoring networks has substantially grown over the last few years, following the technological advances in the production of cheap and portable air pollution sensors, thus potentially greatly increasing the limited spatial information on air quality conditions provided by traditional stations. However, the use of low‐cost air quality sensors still presents many limitations, mostly related to the reliability of their measurements. Despite the increasing number of papers focusing on these issues, some of the challenges connected to the use of low‐cost air quality sensors are still poorly investigated and understood, considering in particular those related to long‐term applications of low‐cost air quality networks and their integration within the reference air quality monitoring system. The present review aims at filling this gap, by analysing the characteristics of low‐cost air quality monitoring networks that were run across long‐term field campaigns, including their geographical location, the pollutants monitored, the type and number of stations employed, and the length of the field campaign, with a particular attention on assessing the aims for their deployment and on the evaluation of their integration within official air quality monitoring networks. Moreover, a critical analysis of the most insightful suggestions and recommendations delivered in the literature, as well as of the relevant critical issues, is presented, highlighting still open research areas and outlining future challenges.
The Intervention of Probiotics on Type 2 Diabetes Mellitus in Animal Models
Authors: Qu Qianyu , He Penggang , Zhang Yuqi , Yang Shujuan , Zeng Peibin 
Published: November 2023

AbstractType 2 diabetes accounts for more than 90% of diabetes patients with the incidence and prevalence continuously rising globally. As a prospective therapy strategy for type 2 diabetes, probiotics have shown beneficial effects both in animal experiments and human clinical trials. This review summarizes the commonly used animal models in probiotic intervention research and presents the evidence and mechanism of diabetes intervention with probiotics in these animal models. Probiotics can help maintain glucose homeostasis, improve lipid metabolism, promote the production of short‐chain fatty acids, and reduce inflammatory reactions in animal models. However, the clinical translation of benefits from probiotics is still challenged by intrinsic differences between experimental animal models and humans, and the application of humanized non‐rodent diabetic animal models may contribute to the clinical translation of probiotics in the future.
Manno‐oligosaccharides from Cassia Seed Gum Attenuate Atherosclerosis through Inflammation Modulation and Intestinal Barrier Integrity Improvement in ApoE−/− Mice
Authors: Li Junyi , Zhen Hongmin , Yang Shaoqing , Yan Qiaojuan , Jiang Zhengqiang 
Published: November 2023

ScopeManno‐oligosaccharides from cassia seed gum (CMOS) have demonstrated anti‐inflammatory and regulatory effects on cholesterol metabolism. However, their protective effects against the progression of atherosclerosis (AS) and underlying molecular mechanisms have not been investigated. This study investigates the anti‐atherosclerotic effects of CMOS on ApoE−/− mice.Methods and resultsCMOS are supplemented in atherosclerotic male ApoE−/− mice fed with a high‐fat‐high‐cholesterol diet (HFHCD). After the 12‐week intervention, CMOS at 1200 mg kg−1·bw d−1 significantly decrease the atherosclerotic lesion area by 0.63‐fold and the aortic arch lesion size by 0.63‐fold when compared to the HFHCD group. Moreover, inflammation in atherosclerotic lesions is reduced by CMOS intervention, and the levels of serum lipids and inflammatory cytokines are decreased. The number of goblet cells and the expression of intestinal epithelial tight junction proteins in the H‐CMOS group increase, thus indicating that CMOS can restore intestinal barrier integrity in atherosclerotic mice. Furthermore, CMOS reshape the unbalanced gut microbiota in ApoE−/− mice caused by HFHCD, and reduce the relative abundance of Desulfovibrio and Faecalibaculum that exhibits positive relationships with inflammation.ConclusionCMOS inhibit inflammation, alter intestinal barrier integrity, and regulate gut microbiota to attenuate AS in ApoE−/− mice.
A comprehensive review of blockchain integration in remote patient monitoring for E‐health
Authors: Badri Nedia , Nasraoui Leïla , Azouz Saïdane Leïla 
Published: November 2023

AbstractThe integration of the Internet of Things (IoT) with blockchain technology has enabled a significant digital transformation in the areas of E‐health, supply chain, financial services, smart grid, and automated contracts. Many E‐health organizations take advantage of the game‐changing power of blockchain and IoT to improve patient outcomes and optimize internal operational activities. In particular, it proposes a decentralized and evolutive way to model and acknowledge trust and data validity in a peer‐to‐peer network. Blockchain promises transparent and secure systems to provide new business solutions, especially when combined with smart contracts. In this paper, we provide a comprehensive survey of the literature involving blockchain technology applied to E‐health. First, we present a brief background on blockchain and its fundamentals. Second, we review the opportunities and challenges of blockchain in the context of E‐health. We then discuss popular consensus algorithms and smart contracts in blockchain in conjunction with E‐health. Finally, blockchain platforms are evaluated for their suitability in the realm of IoT‐based E‐health, including electronic health records, electronic management records, and personal health records, from the perspective of remote patient monitoring.
Dissipative control of 2‐D discrete‐time switched systems via a point‐dependent convex storage function
Authors: Wang Ruihua , Huang Xiaohui , Jiao Ticao 
Published: November 2023

AbstractThis article explores the dissipative control of two‐dimensional (2‐D) discrete‐time switched Fornasini–Marchesini local state‐space systems under dwell‐time switching. It introduces a new point‐dependent convex storage function to establish the criteria for the asymptotic stability and strict ‐‐dissipativity of the 2‐D switched Fornasini–Marchesini local state‐space model based on LMIs. From these established findings, special cases of dissipative control such as strict passivity and performance can be derived. The article also presents the design of a state feedback point‐dependent convex controller using the proposed storage function approach, along with a sufficient condition for the dissipativity of the closed‐loop system. Finally, several examples are presented to corroborate the effectiveness and superiority of the proposed method.
Genetic and immune landscape evolution in MMR‐deficient colorectal cancer
Authors: Challoner Benjamin R , Woolston Andrew , Lau David , Buzzetti Marta , Fong Caroline , Barber Louise J , Anandappa Gayathri , Crux Richard , Assiotis Ioannis , Fenwick Kerry , Begum Ruwaida , Begum Dipa , Lund Tom , Sivamanoharan Nanna , Sansano Harold B , Domingo‐Arada Melissa , Tran Amina , Pandha Hardev , Church David , Eccles Bryony , Ellis Richard , Falk Stephen , Hill Mark , Krell Daniel , Murugaesu Nirupa , Nolan Luke , Potter Vanessa , Saunders Mark , Shiu Kai‐Keen , Guettler Sebastian , Alexander James L , Lázare‐Iglesias Héctor , Kinross James , Murphy Jamie , von Loga Katharina , Cunningham David , Chau Ian , Starling Naureen , Ruiz‐Bañobre Juan , Dhillon Tony , Gerlinger Marco 
Published: November 2023

AbstractMismatch repair‐deficient (MMRd) colorectal cancers (CRCs) have high mutation burdens, which make these tumours immunogenic and many respond to immune checkpoint inhibitors. The MMRd hypermutator phenotype may also promote intratumour heterogeneity (ITH) and cancer evolution. We applied multiregion sequencing and CD8 and programmed death ligand 1 (PD‐L1) immunostaining to systematically investigate ITH and how genetic and immune landscapes coevolve. All cases had high truncal mutation burdens. Despite pervasive ITH, driver aberrations showed a clear hierarchy. Those in WNT/β‐catenin, mitogen‐activated protein kinase, and TGF‐β receptor family genes were almost always truncal. Immune evasion (IE) drivers, such as inactivation of genes involved in antigen presentation or IFN‐γ signalling, were predominantly subclonal and showed parallel evolution. These IE drivers have been implicated in immune checkpoint inhibitor resistance or sensitivity. Clonality assessments are therefore important for the development of predictive immunotherapy biomarkers in MMRd CRCs. Phylogenetic analysis identified three distinct patterns of IE driver evolution: pan‐tumour evolution, subclonal evolution, and evolutionary stasis. These, but neither mutation burdens nor heterogeneity metrics, significantly correlated with T‐cell densities, which were used as a surrogate marker of tumour immunogenicity. Furthermore, this revealed that genetic and T‐cell infiltrates coevolve in MMRd CRCs. Low T‐cell densities in the subgroup without any known IE drivers may indicate an, as yet unknown, IE mechanism. PD‐L1 was expressed in the tumour microenvironment in most samples and correlated with T‐cell densities. However, PD‐L1 expression in cancer cells was independent of T‐cell densities but strongly associated with loss of the intestinal homeobox transcription factor CDX2. This explains infrequent PD‐L1 expression by cancer cells and may contribute to a higher recurrence risk of MMRd CRCs with impaired CDX2 expression. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Development and characterisation of highly specific monoclonal antibody‐based immunoassays for the detection and quantification of genistein‐7‐O‐[α‐rhamnopyranosyl‐(1→6)]‐β‐glucopyranoside in Derris scandens (Roxb.) Benth.
Authors: Sae‐Foo Worapol , Singkham Sukritta , Srisongkhram Pimsiri , Yusakul Gorawit , Masugarut Pisitchai , Putalun Waraporn 
Published: November 2023

AbstractIntroductionThe stem of the plant species Derris scandens (Roxb.) Benth. (DS) contains genistein‐7‐O‐[α‐rhamnopyranosyl‐(1→6)]‐β‐glucopyranoside (GTG), which is a unique marker. Previous analyses of GTG using antibody‐based immunoassays were compromised because of their high cross‐reactivity with structurally related compounds of DS, thereby limiting their applicability in DS quality control.ObjectiveConjugation of GTG with carrier proteins was achieved using the Mannich reaction to produce a highly specific monoclonal antibody (mAb) targeting GTG (anti‐GTG mAb).MethodsThe anti‐GTG mAb was generated using hybridoma technology and characterised using an indirect competitive enzyme‐linked immunosorbent assay (icELISA). Both lateral‐flow immunoassay (LFIA) and icELISA were developed to detect and quantify GTG in DS raw materials and associated products.ResultsicELISA using the anti‐GTG mAb showed 100% specificity for GTG, with only 1.77% cross‐reactivity with genistin and less than 0.01% cross‐reactivity with other compounds. icELISA demonstrated a linear range for GTG determination between 62.5 and 2000 ng/mL. The limits of detection (LOD) and quantification were 49.68 and 62.50 ng/mL for GTG, respectively. The precision of the analysis ranged from 1.28% to 4.20% for repeatability and from 1.03% to 7.05% for reproducibility. The accuracy of the analysis ranged from 101.97% to 104.01% for GTG recovery. GTG levels determined via icELISA were consistent with those confirmed via high‐performance liquid chromatography (HPLC) (R2 = 0.9903). Moreover, the LOD of LFIA for GTG was 500 ng/mL.ConclusionImmunoassays utilising specific anti‐GTG mAbs were successfully developed, including LFIA for rapid GTG detection and icELISA for GTG quantification.
Motivations for English learning discontinuation among Jiangsu Senior High School students: A case study amidst China's new college entrance examination context
Authors: Zhu Kai 
Published: November 2023

AbstractUtilizing the framework of the L2 motivational self‐system as its theoretical foundation, this study focuses on a total of 52 students who discontinue their English learning within a senior high school in Yangzhou, Jiangsu Province. The primary objective of this study is to discern the underlying motivations prompting students to discontinue their English learning through a methodological approach encompassing video‐mediated interviews with the students, subsequently subject to meticulous qualitative scrutiny through the Nvivo software. The analysis focuses on the systematic decoding and recoding of the interview transcripts to discern thematic patterns, hereby unraveling the motivations contributing to students' cessation of English learning. The results indicate a spectrum of negative factors contributing to this phenomenon, including an aversion to the extant English learning milieu and the pressure of English learning, waning interest, diminished academic attainment, cultural disparities vis‐à‐vis English‐speaking regions, and eroded self‐efficacy in mastering the language. Moreover, this study elucidates various factors that collectively contribute to a lack of motivation among students, including the large class sizes, a paucity of English application contexts, the absence of phonetic pedagogy culminating in compromised autonomous learning ability, test‐oriented teaching methods, ineffective English core subject literacy, and an overall substandard learning milieu.
Capillary zone electrophoresis‐high field asymmetric ion mobility spectrometry‐tandem mass spectrometry for top‐down characterization of histone proteoforms
Authors: Wang Qianyi , Fang Fei , Wang Qianjie , Sun Liangliang 
Published: November 2023

AbstractCharacterization of histone proteoforms with various post‐translational modifications (PTMs) is critical for a better understanding of functions of histone proteoforms in epigenetic control of gene expression. Mass spectrometry (MS)‐based top‐down proteomics (TDP) is a valuable approach for delineating histone proteoforms because it can provide us with a bird's‐eye view of histone proteoforms carrying diverse combinations of PTMs. Here, we present the first example of coupling capillary zone electrophoresis (CZE), ion mobility spectrometry (IMS), and MS for online multi‐dimensional separations of histone proteoforms. Our CZE‐high‐field asymmetric waveform IMS (FAIMS)‐MS/MS platform identified 366 (ProSight PD) and 602 (TopPIC) histone proteoforms from a commercial calf histone sample using a low microgram amount of histone sample as the starting material. CZE‐FAIMS‐MS/MS improved the number of histone proteoform identifications by about 3 folds compared to CZE‐MS/MS alone (without FAIMS). The results indicate that CZE‐FAIMS‐MS/MS could be a useful tool for comprehensive characterization of histone proteoforms with high sensitivity.
Psychosocial interventions on the posttraumatic growth of adults with cancer: A systematic review and meta‐analysis of clinical trials
Authors: Vrontaras Nikolaos , Koulierakis Georgios , Ntourou Iliana , Karakatsoulis Georgios , Sergentanis Theodoros Ν. , Kyrou Dimitrios , Kapetanakis Anargyros , Karademas Evangelos , Karamanidou Christina 
Published: November 2023

AbstractBackgroundIt has been increasingly recognized that some people experience post‐traumatic growth (PTG) as a result of struggling with cancer.ObjectiveThis systematic review aims to identify psychosocial interventions that might facilitate PTG in adults with cancer.MethodsA search was conducted in PsycINFO, PubMed, Scopus, the Cochrane Library, and ProQuest up to 16 September 2022. The PRISMA guidelines were followed; all included interventional studies had to comprise 30 or more adults with cancer, using the Posttraumatic Growth Inventory, from 1994 forward.ResultsA total of 2731 articles were retrieved, 1028 of those were screened and 37 unique trials were included (46 articles). A large number of studies were published since 2018 (52.4%), were randomized controlled trials (43.2%), and had group interventions (34.8%), including mainly female participants (83.8%) with a single cancer type (54.1%). Most interventions (75.7%) were moderately to highly effective in increasing PTG (d = 0.65, 95% CI 0.39–0.91) with the most effective interventions using Cognitive Behavioral Therapy (d = 1.24, 95% CI: 0.05–2.44), Mindfulness‐based (d = 0.54, 95% CI = 0.14–0.94) and Education, Peer Support and Health Coaching interventions (d = 0.28, 95% CI: 0.1–0.46). Expression‐based and Positive Psychology‐based approaches also showed promising results. Notably, the majority of studies had a high risk of bias.ConclusionsPTG facilitation is a promising field that should be pursued as it not only allows people with cancer to overcome their trauma but also results in them going over and above their pre‐cancer state, enhancing resilience, health, and well‐being.
Robot self‐calibration using actuated 3D sensors
Authors: Peters Arne , Knoll Alois C. 
Published: November 2023

AbstractBoth robot and hand‐eye calibration have been object of research for decades. While current approaches manage to precisely and robustly identify the parameters of a robot's kinematic model, they still rely on external devices such as calibration objects, markers and/or external sensors. Instead of trying to fit recorded measurements to a model of a known object, this paper treats robot calibration as an offline SLAM problem, where scanning poses are linked to a fixed point in space via a moving kinematic chain. As such, we enable robot calibration by using nothing but an arbitrary eye‐in‐hand depth sensor. To the authors' best knowledge the presented framework is the first solution to three‐dimensional (3D) sensor‐based robot calibration that does not require external sensors nor reference objects. Our novel approach utilizes a modified version of the Iterative Corresponding Point algorithm to run bundle adjustment on multiple 3D recordings estimating the optimal parameters of the kinematic model. A detailed evaluation of the system is shown on a real robot with various attached 3D sensors. The presented results show that the system reaches precision comparable to a dedicated external tracking system at a fraction of its cost.
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes
Authors: Sergeyev Maksim , Crawford Daniel A. , Holbrook Joseph D. , Lombardi Jason V. , Tewes Michael E. , Campbell Tyler A. 
Published: November 2023

AbstractWildlife depends on specific landscape features to persist. Thus, characterizing the vegetation available in an area can be essential for management. The ocelot (Leopardus pardalis) is a federally endangered, medium‐sized felid adapted to woody vegetation. Quantifying the characteristics of vegetation most suitable for ocelots is essential for their conservation. Furthermore, understanding differences in the selection of sympatric bobcats (Lynx rufus) and coyotes (Canis latrans) can provide insight into the mechanisms of coexistence between species. Because of differences in hunting strategy (cursorial vs. ambush) and differences in use of land cover types between species, these three carnivores may be partitioning their landscape as a function of vegetation structure. Light detection and ranging (LiDAR) is a remote sensing platform capable of quantifying the sub‐canopy structure of vegetation. Using LiDAR data, we quantified the horizontal and vertical structure of vegetation cover to assess habitat selection by ocelots, bobcats, and coyotes. We captured and collared 8 ocelots, 13 bobcats, and 5 coyotes in southern Texas from 2017 to 2021. We used step selection functions to determine the selection of vegetation cover at the population and individual level for each species. Ocelots selected for vertical canopy cover and dense vegetation 0–2 m in height. Bobcats selected cover to a lesser extent and had a broader selection, while coyotes avoided under‐story vegetation and selected areas with dense high canopies and relatively open understories. We observed a high degree of variation among individuals that may aid in facilitating intraspecific and interspecific coexistence. Management for ocelots should prioritize vegetation below 2 m and vertical canopy cover. We provide evidence that fine‐scale habitat partitioning may facilitate coexistence between sympatric carnivores. Differences among individuals may enhance coexistence among species, as increased behavioral plasticity of individuals can reduce competition for resources. By combining accurate, fine‐scale measurements derived from LiDAR data with high‐frequency global positioning system locations, we provide a more thorough understanding of the habitat use of ocelots and two sympatric carnivores.
Catalytic Conversion of Caffeine into Molecules of Valuable Interest Via N‐Demethylation Reaction
Authors: de Almeida Flávio V. M. , Diaz de Tuesta Jose L. , Gomes Helder T. , Guerreiro Mário C. 
Published: November 2023

AbstractThis work aims to apply catalytic processes to promote the conversion of caffeine into valuable dimethylxanthines via N‐demethylation reaction. Thus, we seek to evaluate the products formed and propose the reactions involved and their mechanisms. Reaction conditions were evaluated including different concentrations of Fenton reagent and ascorbic acid to evaluate caffeine oxidation. Theobromine, paraxanthine, and theophylline formation was proven by HPLC‐DAD and mass spectrometry analysis evidencing the N‐demethylation reactions, via radicals, with about 1 % yield. These results open the way for new N‐demethylation reaction routes to be studied with applications for caffeine and other biomolecules in diverse areas such as biochemistry and medicinal chemistry.
A Nanocomposite of ZnO and N,P‐Co‐Doped Carbon Dots for the Photocatalytic Degradation of Various Dyes and their Kinetic Study
Authors: Bhavsar Falguni S. , Mapari Mitesh G. , Tivalekar Shailesh R. , Naz Erum G. , Babar Dipak G. 
Published: November 2023

AbstractEnvironmental pollution is becoming more severe by the day, and it is critical to discover an effective method to overcome and reduce pollution. Because nanomaterials are important in all fields, we employed a ZnO‐based N and P doped carbon quantum dots (NPCdots) nanocomposite to degrade multiple dyes including Methylene blue (MB), Methyl orange (MO), and Rhodamine B (RhB). ZnO‐based NPCdots nanocomposite (ZnO‐NPCdots) was synthesized using a single step solvothermal technique, and the resulting nanocomposite was analysed using XRD, HRTEM, and XPS. These analyses unequivocally demonstrate that the ZnO‐NPCdots nanocomposite was successfully formed. The prepared nanocomposite was then used for the photocatalytic degradation of the different dyes under UV light, and it shows an effective catalytic property. In addition, four different kinetic models viz., zero order, pseudo first order, parabolic diffusion model, and modified Freundlich models were used to analyse the reaction‘s kinetics and actual catalytic phenomenon behind the reaction. The modified Freundlich model was found to be effective, indicating the surface phenomenon of the catalyst.