bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wearable and battery‐free wound dressing system for wireless and early sepsis diagnosis
Authors: Li Jiyu , Huang Xingcan , Yang Yawen , Zhou Jingkun , Yao Kuanming , Li Jian , Zhou Yingying , Li Meixi , Wong Tsz Hung , Yu Xinge 
Published: February 2023

AbstractSepsis is a severe organ dysfunction typically caused by wound infection which leads to septic shock, organ failure or even death if no early diagnosis and property medical treatment were taken. Herein, we report a soft, wearable and battery‐free wound dressing system (WDS) for wireless and real‐time monitoring of wound condition and sepsis‐related biomarker (procalcitonin [PCT]) in wound exudate for early sepsis detection. The battery‐free WDS powered by near‐field communication enables wireless data transmission, signal processing and power supply, which allows portable intelligent wound caring. The exudate collection associates with soft silicone based microfluidic technologies (exudate collection time within 15 s), that can filtrate contamination at the cell level and enable a superior filtration rate up to 95% with adopting microsphere structures. The battery‐free WDS also includes state‐of‐the‐art biosensors, which can accurate detect the pH value, wound temperature, and PCT level and thus for sepsis diagnosis. In vivo studies of SD rats prove the capability of the WDS for continuously monitoring wound condition and PCT concentration in the exudate. As a result, the reported fully integrated WDS provides a potential solution for further developing wearable, multifunctional and on‐site disease diagnosis.
Anxiety as a differentiating variable in emotional recognition in juvenile offenders with high callous‐unemotional traits
Authors: Halty Lucia , Caperos Jose M. 
Published: February 2023

AbstractBackgroundThe presence of so‐called callous‐unemotional (CU) traits—lack of remorse/empathy, callous use of others and shallow/deficient affect—defines an important subgroup of children and adolescents with more severe and stable antisocial behaviours over time and may be a precursor to so‐called psychopathy in adults. There are two main hypotheses to account for such traits, one emphasising deficits in recognition of specific emotions—the distress specific—and the other in aspects of facial recognition—the attention to the eyes hypothesis, but it may be that the manifestation of deficits is affected by the person's own emotional state.AimsTo test the effect of anxiety scores on emotion recognition among young people high scoring for CU traits.Methods14‐ to 21‐year‐olds serving sentences in youth justice institutions across Spain were invited to participate. Only those scoring above the cut‐off on the Kimonis Inventory of Callous and Unemotional Traits were included. Anxiety was measured using the State‐Trait Anxiety Inventory. Emotion recognition was assessed using the Emotional Face and Emotional Gaze Tasks.ResultsOf 91 (90% male) eligible participants, 53 had above threshold anxiety scores. The latter group recognised the emotional expressions of sadness, anger and fear earlier than their non‐anxious peers, both when only the eye region was presented and when full faces were presented. There was less difference between groups in the case of the emotions of disgust and happiness, with both groups recognising these emotions earlier and more accurately when a full face was presented.ConclusionsOur findings suggest that 14‐ to 21‐year old who struggle with callous emotional traits should not be treated as a homogenous group but that testing for other relevant problems, including anxiety, may inform optimal routes to the emotion recognition training that is likely to help them relate to others more prosocially.
Event‐triggered data‐ and knowledge‐driven adaptive quality iterative learning control with uncertainty for a pharmaceutical cyber‐physical system
Authors: Wang Zhengsong , Tang Shengnan , Guo Ge , Yang Yanqiu , Han Meng , Yang Le , He Dakuo 
Published: February 2023

AbstractIn the context of Pharma 4.0, a cyber‐physical systems (CPSs)‐based pharmaceutical quality control (PQC) mode holds a critical position in ensuring the quality of drug products. This paper is concerned with a PQC problem with uncertainty embodied in ever‐changing critical material attributes, which present new challenges related to costs and efficiency during pharmaceutical development. So, an event‐triggered data‐ and knowledge‐driven adaptive PQC framework is proposed. First, a data‐ and knowledge‐driven adaptive iterative learning control‐based PQC scheme is developed with the assistance of process knowledge that also contains much additional information reflecting the laws and trends governing process operations. Second, an event‐triggering condition suitable for the PQC tasks is designed and embedded in the controller design to reduce some unnecessary computing and communication loads. Furthermore, the integration of process data and knowledge is used for the adaptive adjustment of control parameters and the determination of initial control directions. Finally, several data experiments illustrate the effectiveness of the proposed methods.
Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E‐stained images: achieving state‐of‐the‐art predictive performance with fewer data using Swin Transformer
Authors: Guo Bangwei , Li Xingyu , Yang Miaomiao , Jonnagaddala Jitendra , Zhang Hong , Xu Xu Steven 
Published: February 2023

AbstractMany artificial intelligence models have been developed to predict clinically relevant biomarkers for colorectal cancer (CRC), including microsatellite instability (MSI). However, existing deep learning networks require large training datasets, which are often hard to obtain. In this study, based on the latest Hierarchical Vision Transformer using Shifted Windows (Swin Transformer [Swin‐T]), we developed an efficient workflow to predict biomarkers in CRC (MSI, hypermutation, chromosomal instability, CpG island methylator phenotype, and BRAF and TP53 mutation) that required relatively small datasets. Our Swin‐T workflow substantially achieved the state‐of‐the‐art (SOTA) predictive performance in an intra‐study cross‐validation experiment on the Cancer Genome Atlas colon and rectal cancer dataset (TCGA‐CRC‐DX). It also demonstrated excellent generalizability in cross‐study external validation and delivered a SOTA area under the receiver operating characteristic curve (AUROC) of 0.90 for MSI, using the Molecular and Cellular Oncology dataset for training (N = 1,065) and the TCGA‐CRC‐DX (N = 462) for testing. A similar performance (AUROC = 0.91) was reported in a recent study, using ~8,000 training samples (ResNet18) on the same testing dataset. Swin‐T was extremely efficient when using small training datasets and exhibited robust predictive performance with 200–500 training samples. Our findings indicate that Swin‐T could be 5–10 times more efficient than existing algorithms for MSI prediction based on ResNet18 and ShuffleNet. Furthermore, the Swin‐T models demonstrated their capability in accurately predicting MSI and BRAF mutation status, which could exclude and therefore reduce samples before subsequent standard testing in a cascading diagnostic workflow, in turn reducing turnaround time and costs.
How Green are Redox Flow Batteries?
Authors: Ebner Sophie , Spirk Stefan , Stern Tobias , Mair‐Bauernfeind Claudia 
Published: February 2023

AbstractProviding sustainable energy storage is a challenge that must be overcome to replace fossil‐based fuels. Redox flow batteries are a promising storage option that can compensate for fluctuations in energy generation from renewable energy production, as their main asset is their design flexibility in terms of storage capacity. Current commercial options for flow batteries are mostly limited to inorganic materials such as vanadium, zinc, and bromine. As environmental aspects are one of the main drivers for developing flow batteries, assessing their environmental performance is crucial. However, this topic is still underexplored, as researchers have mostly focused on single systems with defined use cases and system boundaries, making the assessments of the overall technology inaccurate. This review was conducted to summarize the main findings of life cycle assessment studies on flow batteries with respect to environmental hotspots and their performance as compared to that of other battery systems.
A nine‐level common ground multilevel inverter (9L‐CGMLI) with reduced components and boosting ability
Authors: Sarwer Zeeshan , Anwar Md Nishat , Sarwar Adil 
Published: February 2023

SummaryThis paper introduces a common ground (CG) nine‐level switched‐capacitor (SC)‐based multilevel inverter (MLI) with dual boosting feature. The proposed circuit possess 11 switches, 2 diodes, and 3 capacitors. A simple level‐shifted modulation method has been used to generate the switching signals. The key feature of the proposed circuit is the presence of common ground between the input and output. The CG configuration eliminates the leakage current problem encountered in photovoltaic (PV) applications, which means the proposed circuit is suitable for use in PV applications. Moreover, the circuit also possesses reduced overall components and voltage stress on switches. At the same time, the dual boosting feature is another salient feature of the proposed MLI. This means the input voltage is stepped up two times and we get boosted/increased voltage at the output. The various simulation and experimental conditions have been tried to test the circuit under different load situations. Moreover, the loss analysis using PLECS software tool has been done to get information about the circuit losses. The results are shown and explained in the concerned sections of the paper. A quantitative comparison, based on different parameters, has been provided with other nine‐level MLIs.
Hybrid Grasshopper and Improved Cat Swarm Optimization Algorithm‐based clustering for guaranteeing energy stability and network lifetime in WSN
Authors: Rajarajeswari Palaniappan , Shyamala Chandrasekaran , Mohana Shivashankar 
Published: February 2023

SummaryWireless sensor networks (WSNs) plays an indispensable role in the human life by supporting a diversified number of applications that includes military, environment monitoring, manufacturing, education, agriculture, etc. However, the sensor node batteries cannot be replaced under its deployment in an unattended or remote area due to their wireless existence. Cluster‐based routing is significant in handling the issue of energy stability and network lifetime. The meta‐heuristic algorithms‐based cluster head (CH) selection is determined to be highly promising for attaining the objective of CH selection that results in acquiring an optimal network performance. In this paper, a Hybrid Grasshopper and Improved Cat Swarm Optimization Algorithm (HGICSOA)‐based clustering scheme is proposed for attaining potential CH selection and guarantee significant sink mobility‐based data transmission. The capability of GHOA that controls the rate of exploitation and exploration degree is utilized for CH selection. It specifically adopted OBL‐based GHOA for optimal CH selection based on the objective function, which is formulated using node density, residual energy, and distance between sensor node and sink. It incorporated new CSOA for mobility‐based data transmission for increasing population diversity. It also utilized the benefits of ICSOA with a predominant local search strategy for achieving better sink mobility‐based data transmission. Simulation and statistical results confirmed that the proposed HGICSOA is better in attaining maximum energy stability by 17.21% and improved network lifetime by 23.82%, compared to the benchmarked schemes used for investigation. Moreover, the prevention rate of worst sensor nodes selected as CH is improved by 21.38%, better than baseline approaches.
Whole genome demographic models indicate divergent effective population size histories shape contemporary genetic diversity gradients in a montane bumble bee
Authors: Lozier Jeffrey D. , Strange James P. , Heraghty Sam D. 
Published: February 2023

AbstractUnderstanding historical range shifts and population size variation provides an important context for interpreting contemporary genetic diversity. Methods to predict changes in species distributions and model changes in effective population size (Ne) using whole genomes make it feasible to examine how temporal dynamics influence diversity across populations. We investigate Ne variation and climate‐associated range shifts to examine the origins of a previously observed latitudinal heterozygosity gradient in the bumble bee Bombus vancouverensis Cresson (Hymenoptera: Apidae: Bombus Latreille) in western North America. We analyze whole genomes from a latitude‐elevation cline using sequentially Markovian coalescent models of Ne through time to test whether relatively low diversity in southern high‐elevation populations is a result of long‐term differences in Ne. We use Maxent models of the species range over the last 130,000 years to evaluate range shifts and stability. Ne fluctuates with climate across populations, but more genetically diverse northern populations have maintained greater Ne over the late Pleistocene and experienced larger expansions with climatically favorable time periods. Northern populations also experienced larger bottlenecks during the last glacial period, which matched the loss of range area near these sites; however, bottlenecks were not sufficient to erode diversity maintained during periods of large Ne. A genome sampled from an island population indicated a severe postglacial bottleneck, indicating that large recent postglacial declines are detectable if they have occurred. Genetic diversity was not related to niche stability or glacial‐period bottleneck size. Instead, spatial expansions and increased connectivity during favorable climates likely maintain diversity in the north while restriction to high elevations maintains relatively low diversity despite greater stability in southern regions. Results suggest genetic diversity gradients reflect long‐term differences in Ne dynamics and also emphasize the unique effects of isolation on insular habitats for bumble bees. Patterns are discussed in the context of conservation under climate change.
Two‐year trends from the LANDMARC study: A 3‐year, pan‐India, prospective, longitudinal study on the management and real‐world outcome in patients with type 2 diabetes mellitus
Authors: Das Ashok K. , Kalra Sanjay , Joshi Shashank , Mithal Ambrish , Kumar K. M. Prasanna , Unnikrishnan Ambika G. , Thacker Hemant , Sethi Bipin , Chowdhury Subhankar , Sugumaran Amarnath , Mohanasundaram Senthilnathan , Menon Shalini K. , Salvi Vaibhav , Chodankar Deepa , Thaker Saket , Trivedi Chirag , Wangnoo Subhash K. , Zargar Abdul H. , Rais Nadeem 
Published: February 2023

AbstractIntroductionThere are limited data on the real‐world management of diabetes in the Indian population. In this 2‐year analysis of the LANDMARC study, the management of type 2 diabetes mellitus (T2DM) and related complications were assessed.MethodThis multicenter, observational, prospective study included adults aged ≥25 to ≤60 years diagnosed with T2DM (duration ≥2 years at enrollment) and controlled/uncontrolled on ≥2 anti‐diabetic agents. This interim analysis at 2 years reports the status of glycaemic control, diabetic complications, cardiovascular (CV) risks and therapy, pan‐India including metropolitan and non‐metropolitan cities.ResultsOf the 6234 evaluable patients, 5318 patients completed 2 years in the study. Microvascular complications were observed in 17.6% of patients (1096/6234); macrovascular complications were observed in 3.1% of patients (195/6234). Higher number of microvascular complications were noted in patients from non‐metropolitan than in metropolitan cities (p < .0001). In 2 years, an improvement of 0.6% from baseline (8.1%) in mean glycated haemoglobin (HbA1c) was noted; 20.8% of patients met optimum glycaemic control (HbA1c < 7%). Hypertension (2679/3438, 77.9%) and dyslipidaemia (1776/3438, 51.7%) were the predominant CV risk factors in 2 years. The number of patients taking oral anti‐diabetic drugs in combination with insulin increased in 2 years (baseline: 1498/6234 [24.0%] vs. 2 years: 1917/5763 [33.3%]). While biguanides and sulfonylureas were the most commonly prescribed, there was an evident increase in the use of dipeptidyl peptidase‐IV inhibitors (baseline: 3049/6234, 48.9% vs. 2 years: 3526/5763, 61.2%).ConclusionThis longitudinal study represents the control of T2DM, its management and development of complications in Indian population.Clinical Trial Registration NumberCTRI/2017/05/008452.
Financing green and climate resilient infrastructure in ASEAN countries
Authors: Glemarec Yannick 
Published: February 2023

AbstractSoutheast Asia is one of the world's most energy‐intensive and climate vulnerable regions, with rapid urbanization and industrialization increasing its greenhouse gas emissions and a high exposure to extreme weather events. The COVID‐19 pandemic has had a massive impact on the region's economic growth. Decisions taken by leaders today to revive economies will either entrench the region's dependence on fossil fuels or accelerate decarbonization efforts to achieve the Paris Agreement and the Sustainable Development Goals. This article recalls the imperative of a green, climate resilient recovery from the COVID‐19 pandemic to put ASEAN economies on a sustainable and inclusive development path before discussing the chronic infrastructure investment gap and reviewing options to catalyze climate investment to address this gap and finance recovery efforts.
A tubular solar still integrated with a heat pipe
Authors: Al‐Dulaimi Mustafa J. , Amori Karima E. 
Published: February 2023

AbstractThe aim of this work is to explore the thermal performance of a tracked tubular solar still (TSS) with a parabolic trough concentrator in Baghdad (33.27° N, 44.37° E) in September 2022. The present tubular still is distinguished by its hexagonal glass cover. The effect of integrating the TSS with a heat pipe, the still tilt angle (10°, 15°), and the depth of saline water inside the still partitions on the productivity of freshwater are investigated. The results showed that using heat pipe enhances the freshwater productivity by 25%–40% and the efficiency by 25%. For the still integrated with heat pipe, as the water depth is increased from 5.5 to 6.5 cm the productivity of freshwater is increased by 16% and 20% for tilt angles 10° and 15°, respectively.
Igf1 Regulates Fibrocartilage Stem Cells, Cartilage Growth, and Homeostasis in the Temporomandibular Joint of Mice
Authors: Bi Ruiye , Luo Xueting , Li Qianli , Li Peiran , Li Haohan , Fan Yi , Ying Binbin , Zhu Songsong 
Published: February 2023

ABSTRACT
Temporomandibular joint (TMJ) growth requires orchestrated interactions between various cell types. Recent studies revealed that fibrocartilage stem cells (FCSCs) in the TMJ cartilage play critical roles as cell resources for joint development and repair. However, the detailed molecular network that influences FCSC fate during TMJ cartilage development remains to be elucidated. Here, we investigate the functional role of Igf1 in FCSCs for TMJ cartilage growth and homeostasis by lineage tracing using Gli1-CreER+; Tmflfl mice and conditional Igf1 deletion using Gli1-/Col2-CreER+; Igf1fl/fl mice. In Gli1-CreER+; Tmflfl mice, red fluorescence+ (RFP+) FCSCs show a favorable proliferative capacity. Igf1 deletion in Gli1+/Col2+ cell lineages leads to distinct pathological changes in TMJ cartilage. More serious cartilage thickness and cell density reductions are found in the superficial layers in Gli1-CreER+; Igf1fl/fl mice. After long-term Igf1 deletion, a severe disordered cell arrangement is found in both groups. When Igf1 is conditionally deleted in vivo, the red fluorescent protein-labeled Gli1+ FCSC shows a significant disruption of chondrogenic differentiation, cell proliferation, and apoptosis leading to TMJ cartilage disarrangement and subchondral bone loss. Immunostaining shows that pAkt signaling is blocked in all cartilage layers after the Gli1+-specific deletion of Igf1. In vitro, Igf1 deletion disrupts FCSC capacities, including proliferation and chondrogenesis. Moreover, the deletion of Igf1 in FCSCs significantly aggravates the joint osteoarthritis phenotype in the unilateral anterior crossbite mouse model, characterized by decreased cartilage thickness and cell numbers as well as a loss of extracellular matrix secretions. These findings uncover Igf1 as a regulator of TMJ cartilage growth and repair. The deletion of Igf1 disrupts the progenitor capacity of FCSCs, leading to a disordered cell distribution and exaggerating TMJ cartilage dysfunction. © 2023 American Society for Bone and Mineral Research (ASBMR).
Low L3 skeletal muscle index associated with the clinicopathological characteristics and prognosis of ovarian cancer: a meta‐analysis
Authors: Jin Yue , Ma Xiaowei , Yang Zhiyou , Zhang Nan 
Published: February 2023

AbstractSarcopenia is a syndrome characterized by progressive loss of skeletal muscle mass, strength and function, which is one of the most important clinical features of cancer malnutrition, representing a poor prognostic indicator in oncology. Sarcopenia is commonly assessed by measuring the skeletal muscle index (SMI) of the third lumbar spine (L3) using computed tomography (CT). The primary aim of this meta‐analysis was to study the association between low SMI and comprehensive clinicopathological characteristics as well as prognosis in patients with ovarian cancer. Data were searched in PubMed, EMBASE and Cochrane databases from inception to 10 June 2022. Studies evaluating the prognostic effect of SMI on ovarian cancer survival or chemotherapy‐related side effects were included. The risk of bias and study quality were assessed via the Newcastle–Ottawa Scale (NOS). The search strategy yielded 1286 hits in all three databases combined. Thirteen studies were included for qualitative and quantitative analysis, comprising 1814 patients. Our meta‐analysis revealed the significant association between low SMI and progression‐free survival (PFS) [P = 0.02; hazard ratio (HR): 1.40, 95% confidence interval (CI): 1.06–1.85], as well as 5‐year overall survival (OS) [P = 0.02; odds ratio (OR): 1.35, 95% CI: 1.05–1.74]. Low SMI was also obviously associated with body mass index (BMI) < 25 (P < 0.00001; OR: 5.08, 95% CI: 3.54–7.30), FIGO stage (P = 0.02; OR: 1.62, 95% CI: 1.06–2.45) and R0 cytoreduction (P = 0.04;OR: 1.34, 95% CI: 1.01–1.79). There was no correlation between low SMI and histological types, pathological grades and chemotherapy‐related toxicity. The quality of the evidence was relatively high according to NOS. Our meta‐analysis indicated that sarcopenia assessed by SMI was associated with poor clinical characteristics and adverse prognosis in patients with ovarian cancer. Consensus should be reached on standardized cut‐off values for defining sarcopenia in patients with ovarian cancer.