bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fully Automated Unsupervised Learning Approach for Thermal Camera Calibration and An Accurate COVID-19 Human Temperature Tracking
Authors: Al-Azzawi Adil 
Published: March 2024

Abstract
During the past three years, people have suffered a lot from what the World Health Organization called the emerging Covid-19. The world lacked the means and methods for early detection of this virus, several methods were used traditional methods for detecting this virus, such as thermometers, a remote thermal detection gun, and other traditional methods. Most of these systems monopolized making profits or selling their camera products, as the prices of these cameras equipped with a temperature detection system exceeded three thousand dollars. An unsupervised model for real-time detection of thermal face skin temperature was proposed, despite the scarcity and availability of thermal video data, we found and used a database created at Nazarbayev University in Nur-Sultan, Kazakhstan, which contains clips of thermal video and RGB video. Where the two different videos were calibrated, and the congruence was measured by two measures, SSIM and Correlation, and then four methods of registration were used to achieve perfect congruence, and the congruence was also measured through the two previous measures, and then the K-means method was used to extract clusters, and then functions for post-processing were built, then, the thermal face skin was extracted by multiplying the binary face into the thermal face, and the temperature of the face was calculated by taking the average values of the thermal face skin pixels and converting them from Fahrenheit to Celsius. Satisfactory results were obtained for us, as temperatures were detected for some cases within the normal range, others below the normal range, and others higher than this rate.
Underwater Image Enhancement via Multi-Scale Feature Fusion Network Guided by Medium Transmission
Authors: Yang Hao , Cai Hongqin , Jiang Chenxu , Zhang Ruiteng , Zhang Jian 
Published: March 2024

Abstract

Due to the complexity of underwater imaging environments, images captured via optical vision systems often exhibit significant degradation. To combat this issue, we introduce a multi-scale feature fusion underwater image enhancement network, termed MFUNet. MFUNet is a novel multi-scale feature fusion network, guided by medium transmission, ensures the content integrity of the reconstructed image by leveraging interaction features among non-adjacent layers. This approach addresses the common problem of the loss of image detail features. Moreover, MFUNet enhances the response to high-frequency information by employing edge loss, thereby improving sensitivity to edges and textures. By deepening the network hierarchy, the image undergoes deep encoding and decoding, which maximizes the multi-color space encoder's and multi-scale feature fusion's potential in color representation and enhances the structural similarity and overall quality of the image. It is worth noting that we achieved superior performance by utilizing fewer model parameters. Extensive experiments across various datasets demonstrate that our method surpasses comparative methods in both visual quality and quantitative metrics.
Practical applications of deep learning: intelligent image hanging protocol for abdominal magnetic resonance imaging
Authors: Han Xinjun , Xu Hui , Jiang Difei , Yu Zhixuan , Yu Niange , Yin Hongxia , Yang Dawei , Yang Zhenghan 
Published: March 2024

Abstract

Background
It is time-consuming to open an abdominal MR in traditional PACS and put all the image serials in the proper order before the radiological diagnosis. In this study, we aim to develop and validate an intelligent tool to assist radiologists in hanging abdominal MR images before radiological diagnosis.
Methods
Two independent cohorts were utilized in this study. The developing cohort included abdominal MR images of 1374 patients randomly collected from four centres, while the clinical evaluation cohort included images of 481 consecutive patients from one centre. A series of deep learning algorithms and rules were built to implement image preprocessing, sequence classification, and optimum sequence selection, which together enable full process automation for hanging images. The system was evaluated from two aspects: i) accuracy of discriminating MR sequences and phases and ii) performance in real clinical scenarios, including accuracy, applicability, and efficiency.
Results
The model had high accuracy in discriminating 13 common types of MR sequences and phases (the average accuracy was 99.1% and ranged from 96.2–100%). In clinical evaluation, the model successfully covered 98.5% of patients, and 85.9% of these achieved 100% accuracy in image alignment. Multivariate logistic regression analysis revealed that none of three factors, including contrast agent type, MR device, and liver background showed statistical significance as factors associated with model mistakes. With the assistance of this tool, the time spent on hanging images dropped from an average of 118.2 s per case to 22.2 s.
Conclusion
This intelligent tool can be used to assist radiologists in hanging abdominal MR images, reducing their workload, and improving efficiency.
Extracellular traps in peripheral blood mononuclear cell fraction, a proposed biomarker for childhood-onset systemic lupus erythematosus
Authors: Saisorn Wilasinee , Santiworakul Chanunya , Phuengmaung Pornpimol , Siripen Nuanpan , Rianthavorn Pornpimol , Leelahavanichkul Asada 
Published: March 2024

Abstract

Although the utilization of low-density granulocytes (LDGs) and neutrophil extracellular traps (NETs) for the determination of lupus disease severity are mentioned, data from pediatric lupus are still very less. Then, 46 patients with childhood-onset systemic lupus erythematosus (83% females, mean age 15 ± 0.2 years) with 26 and 20 cases with normal and low complement, respectively, and 20 adult normal volunteers were analyzed. The parameters that could differentiate normal volunteers from lupus and between low versus normal complement lupus were serum IFN-α, serum CitH3 (citrullinated histone 3), and extracellular traps (ETs) in LDGs but not NETs (from regular-density neutrophils), LDGs or other parameters (such as endotoxemia, other cytokines, and serum dsDNA). Adding lipopolysaccharide (LPS) in LDGs further induced ETs in both low and normal complement groups indicating a property of inducible ETs. The activation by recombinant IFN-α or dsDNA in isolated neutrophils from adult healthy volunteers turns into LDGs (isolated by gradient separation after the induction) and NETs (from the LDGs portion as determined by immunofluorescent analysis using CitH3, myeloperoxidase, and neutrophil elastase staining) at 45 min and 3 h post-stimulation, respectively. At 3 h post-stimulation, approximately half of the LDGs turn into late apoptosis cells as evaluated by flow cytometry analysis. The expression of CD66b (an adhesion molecule) in LDGs induced by IFN-α or dsDNA was similarly more prominent than the regular-density neutrophils indicating a more profound activity of LDGs.
In conclusion, LDGs in lupus might be induced by IFN-α and/or dsDNA in patients with lupus which might be in the process of cell death through NETosis and apoptosis (the exacerbating processes of lupus disease activity). Although LDGs could not differentiate low versus normal complement lupus, the ETs in LDGs might be useful as another biomarker of disease activity in pediatric lupus. More studies are interesting.
Metabolomic analysis reveals the positive effects of Rhizopus oryzae fermentation on the nutritional and functional constituents of adlay millet seeds
Authors: Liu Caihua , Wei Jian , Shi Mingde , Huang Xunwen , Wang Zisong , Liu Qiuliu , Lang Tao , Zhu Zhengjie 
Published: March 2024

Abstract

Adlay millet seeds are well known for excellent health benefits. However, using fungal fermentation to improve their nutritional and functional constituents and the underlying mechanisms has not been thoroughly investigated. Herein, we used Rhizopus oryzae as starter and applied metabolomics combining with quantitative verification to understand the changes of the nutritional and functional profiles of adlay millet seeds. Results showed that a total of 718 metabolites from 18 compound classes were identified. The fermentation with R. oryzae varied 203 differential metabolites, of which 184 became more abundant and 19 got less abundant, and many components such as amino acids, nucleotides, vitamins, flavonoids, terpenoids, and phenols significantly increased after the fermentation process. Interestingly, we found that R. oryzae synthesized high levels of two important beneficial compounds, S-adenosylmethionine (SAMe) and β-Nicotinamide mononucleotide (β-NMN), with their contents increased from 0.56 to 370.26 μg/g and 0.55 to 8.32 μg/g, respectively. KEGG analysis of enriched metabolites revealed the amino acid metabolic pathways were important for conversion of the primary and secondary metabolites. Specifically, aspartate can up-regulate the biosynthesis of SAMe and β-NMN. These findings improved our understanding into the effects of R. oryzae fermentation on enhancing the nutritional and functional values of cereal foods.
’God is the one who give child’: An abductive analysis of barriers to postnatal care using the Health Equity Implementation Framework
Authors: Egger Emilie , Bitewulign Befikadu , Rodriguez Humberto Gonzalez , Case Haley , Alemayehu Abiyou Kiflie , Rhodes Elizabeth C. , Estifanos Abiy Seifu , Singh Kavita , Keraga Dorka Woldesenbet , Zahid Marukh , Magge Hema , Gleeson Dara , Barrington Clare , Hagaman Ashley 
Published: March 2024

Abstract

Background:Postnatal care is recommended as a means of preventing maternal mortality during the postpartum period, but many women in low- and middle-income countries (LMICs) do not access care during this period. We set out to examine sociocultural preferences that have been portrayed as barriers to care.Methods:We performed an abductive analysis of 63 semi-structured interviews with women who had recently given birth in three regions of Ethiopia using the Health Equity Implementation Framework (HEIF) and an inductive-deductive codebook to understand why women in Ethiopia do not use recommended postnatal care.Results:We found that, in many cases, health providers do not consider women’s cultural safety a primary need, but rather as a barrier to care. However, women’s perceived refusal to participate in postnatal visits was, for many, an expression of agency and asserting their needs for cultural safety.Trial registration:n/aConclusions:We propose adding cultural safety to HEIF as a process outcome, so that implementers consider cultural needs in a dynamic manner that does not ask patients to choose between meeting their cultural needs and receiving necessary health care during the postnatal period.
Evidence of coinfection of African swine fever virus genotype X and Porcine parvovirus type 3 at pig farms in the North Kivu province, Eastern Democratic Republic of Congo
Authors: Ntagereka Patrick Bisimwa , Kinimi Edson , Shukuru Dieudonné Wasso , Mushagalusa Elie Ntale Ya , Basedeke Jean-Paul Mugisho , Bantuzeko Fabrice , Bashimbe Justin Aksanti , Tonui Ronald , Baenyi Simon Patrick , Birindwa Ahadi Bwihangane 
Published: March 2024

Abstract

Background
African swine fever virus (ASFV) and Porcine parvovirus (PPV) are highly contagious viral pathogens that can cause devastating diseases in the pig industry. The absence of studies on the coinfection of ASFV and PPV in North Kivu raises concerns, especially given the uncontrolled movement of pigs and pig products between North and South Kivu in neighbouring countries where both diseases have been reported in domestic and wild pigs. A multifaceted approach was carried out to identify putative pathogens and risk factors associated with the transmission and spread of African Swine Fever (ASF) and PPV coinfections at pig farms in North Kivu province.
Materials and methods
A structured questionnaire was administered to collect risk factors associated with ASFV and PPV transmission dynamics, alongside 117 blood samples collected from domestic pigs and tested for the presence of ASFV and PPV using Polymerase Chain Reaction (PCR). The resulting PCR amplification products were sequenced using the standard Sanger sequencing method.
Results and Discussion
The results of Multivariable logistic regression analysis indicated that free-ranging system of pigs (OR = 3.64 95% CI: 1.076–12.92) is a major risk factor positively associated with ASFV and PPV3 infections (OR = 4.82, 95% CI: 1.06–20.86) at pig farms in North Kivu Province, eastern DRC. Free-ranging systems, where pigs roam outdoors, may increase the risk of exposure to infected vectors, wildlife reservoirs, or contaminated environments, thereby facilitating the spread of ASFV and PPV3. From thirteen PCR-positive pigs for ASFV (23.5%), four were co-infected with PPV. Phylogenetic analysis of ASFV p72 and p54 protein genes revealed that ASFV field isolates belong to genotype X whilst PPV clustered with porcine reproductive virus (PPV type 3). Owing to the transboundary nature of ASFV and PPV3 infections, viruses can easily spread across borders. This highlights the need for enhanced surveillance, early detection, and rapid response mechanisms to prevent and control the spread of these diseases regionally and internationally.
Genetic evidence for causal effects of immune cell traits on risk for endometriosis: a bidirectional two-sample Mendelian Randomization Study
Authors: Wang Ying , Sun Fenyong , Wu Han , Yue Chaoyan , Man Qiuhong 
Published: March 2024

Abstract
Previous studies have identified associations between immune cell traits and endometriosis, but the causality of these relationships remains uncertain. 731 immune cell signatures associated Single-nucleotide polymorphisms (SNPs) were extracted from a published genome-wide association study (GWAS) involving 472,174 individuals, while endometriosis data, including four stages and seven subtypes, were obtained from the FinnGen consortium. Four methods were used for Mendelian randomization. The causal effect of immune cell traits on endometriosis was explored after Bonferroni correction. Significant causal relationship included 92 immune cell traits distributed among B cell (28 cells), cDC (2 cells), Maturation stages of T cell (10 cells), Monocyte (12 cells), Myeloid cell (5 cells), TBNK (13 cells) and Treg panels (22 cells). In the reverse Mendelian randomization analysis, a one-unit increase in the log odds of endometriosis of the ovary risk corresponded to a decrease in the Absolute Count of CD4+ CD8dim T cell by 0.10. This study represents the first comprehensive evaluation of the causal effects of immune cell traits on the risk/protection of different stages/subtypes of endometriosis. The findings highlight the complex and significant role of immune-derived factors in the pathogenesis of the disease.
Monitoring Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer Using Circulating Tumor DNA
Authors: Chen Jennifer H. , Addanki Sridevi , Roy Dhruvajyoti , Bassett Roland , Kalashnikova Ekaterina , Spickard Erik , Kuerer Henry M. , Meas Salyna , Sarli Vanessa N. , Korkut Anil , White Jason B. , Rauch Gaiane M. , Tripathy Debu , Arun Banu K. , Barcenas Carlos H. , Yam Clinton , Sethi Himanshu , Rodriguez Angel A. , Liu Minetta C. , Moulder Stacy L. , Lucci Anthony 
Published: March 2024

Abstract

Background: Triple negative breast cancer (TNBC) is an aggressive subtype with poor prognosis. We aimed to determine whether circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) could predict response and long-term outcomes to neoadjuvant chemotherapy (NAC).
Methods: Patients with TNBC were enrolled between 2017-2021 at The University of Texas MD Anderson Cancer Center (Houston, TX). Serial plasma samples were collected at four timepoints: pre-NAC (baseline), 12-weeks after NAC (mid-NAC), after NAC/prior to surgery (post-NAC), and one-year after surgery. ctDNA was quantified using a tumor-informed ctDNA assay (SignateraTM, Natera, Inc.) and CTC enumeration using CellSearch. Wilcoxon and Fisher’s exact tests were used for comparisons between groups and Kaplan-Meier analysis used for survival outcomes.
Results: In total, 37 patients were enrolled. The mean age was 50 and majority of patients had invasive ductal carcinoma (34, 91.9%) with clinical T2, (25, 67.6%) node-negative disease (21, 56.8%). Baseline ctDNA was detected in 90% (27/30) of patients, of whom 70.4% (19/27) achieved ctDNA clearance by mid-NAC. ctDNA clearance at mid-NAC was significantly associated with pathologic complete response (p =0.02), whereas CTC clearance was not (p = 0.52). There were no differences in overall survival (OS) and recurrence-free survival (RFS) with positive baseline ctDNA and CTC. However, positive ctDNA at mid-NAC was significantly associated with worse OS and RFS (p = 0.0002 and p = 0.0034, respectively).
Conclusions: Early clearance of ctDNA served as a predictive and prognostic marker in TNBC. Personalized ctDNA monitoring during NAC may help predict response and guide treatment.
Power Requirements for Olive Mechanical Harvesting Using Trunk Shaker
Authors: Ghonimy Mohamed , Ibrahim M. M. , Helmy Haythem S. , Alzoheiry Ahmed 
Published: March 2024

Abstract

A mathematical analysis was done to predict the power requirements of the olive trunk shaker. The predicted required power of the olive trunk shaker is affected by shaking displacement, fruit detachment force, fruit mass, stem length, damping ratio, unbalanced mass of tree shaker, and exciting shaking frequency. The Olive trunk shaker was tested in the field at three attachment heights, 400, 600, and 800 mm, and six levels of olive trunk diameter: 78, 84, 101, 143, 158, and 186 mm. The results showed that the theoretical shaking power was 12.8 kW while the actual required shaking power ranged between 8.4 to 16.7 kW, with an average of 12.7 kW due to differences in tree trunk diameters and different attachment heights. Multiple regression using the least square method was used to find a statistical relation between the theoretical equation and the actual required power as a function of the clamp attachment height and the trunk diameter. The regression coefficient of the predicted equation was 91.2% for attachment height values between 400 and 800 mm and tree trunk diameter values between 78 and 186mm, and the mean absolute error of the prediction model was 0.5174 kW.
Smart Factory Advancement in Industry 4.0: Exploring Barriers and Strategic Approaches through Empirical Investigation
Authors: Bagherian Anthony , Srivas Arun Lal Lal , Mukherjee Subhodeep Subhodeep 
Published: March 2024

Abstract

This study investigates the barriers and strategies related to the installation of smart factories in the manufacturing domain, with a focus on the manufacturing industry integrated with a German company as a case study. Utilizing the Best Worst Method (BWM), 47 performance variables were assessed and ranked in nine key groups, revealing significant factors that influence the installation of the smart factory. Technological challenges, complexity, and integration emerged as critical priorities, emphasizing the essence of robust IT infrastructure and agile software development practices. Additionally, e-waste management and energy efficiency were highlighted as imperative aspects for sustainable smart factory operations. Ethical considerations, including worker safety standards and data governance, were emphasized for ethical and societal sustainability. Theoretical implications elucidate the contribution to existing knowledge by identifying and ranking key barriers, revealing effective strategies, and expanding understanding in specific areas such as e-waste management and ethical supply chain methodology. Practical contributions offer insight to optimize the design and implementation of smart factories, focusing on strategic prioritization, comprehensive planning, and ongoing adaptation. Nevertheless, it is essential to acknowledge limitations, including the reliance on expert opinions, sector-specific applicability, and the need for larger sample sizes. Future research avenues could include cross-industry comparative studies and the incorporation of cutting-edge technology like blockchain and artificial intelligence (AI). Ultimately, this research offers insightful knowledge about the challenges and opportunities of smart factory installation in the manufacturing sector, particularly in Germany. By clarifying identified barriers and adopting recommended strategies, organizations could navigate the complex landscape of smart factory adoption and contribute to the ongoing digital conversion of the industrial sector.
Changes in gene expression align with behavioural differences in reproductive choices in a social beetle.
Authors: Regon Preetom , Schudoma Christian , Moncaz Aviad , Harari Ally R , Kliot Adi 
Published: March 2024

Abstract

Social animals often share their colony with individuals of different relatedness levels and life stages. In most social insects, the society structure consists of only one or a few reproducing females in the colony. When no reproductive depression is in place, a fertile female must, therefore, choose whether to stay with its natal group and limit her reproductive potential or leave to establish a new colony. The factors governing and following this reproductive decision are still largely unknown.
The date stone beetle, Coccotrypes dactyliperda (Curculiondae), resides in intricate galleries carved inside date seeds. Sib mating is common in this species, and the inbreeding coefficient is high. While most females in a natal group stay and raise their offspring with their sisters, some females leave the group to start a colony of their own, regardless of the resources available within the natal group.
In this study, we hypothesized that dispersing females should present physiological changes consistent with the anticipated challenges, including finding a host and egg laying, while the physiology of females that stay in the natal seed should demonstrate adaptation related to cohabiting in an existing nest. To test our hypothesis, we examined the development of ovaries in females that left the natal seed and their sisters that remained in the seed. In addition, we sequenced and analysed the transcriptome of pooled groups of females that left the natal seed and their sisters that stayed. Our physiological and transcriptomic results indicate that females that left the natal seed exhibit greater ovarian development compared to females that remained in the seed. Our transcriptomic data revealed further differences between the two groups, including genes related to nest-mate recognition and other physiological adaptations.
Our study is the first to link behaviour, physiological changes and transcriptomic analyses with decision-making in relation to reproductive strategies in a social beetle.
Randomized coordinate descent method for inconsistent tensor linear systems with t-product.
Authors: Ke Ni-hong , Jiang Yu-rui , Yin Jun-feng 
Published: March 2024

Abstract

A randomized coordinate descent method is proposed for solving inconsistent tensor linear systems with t-product. Theoretical analysis proves that the new method converges to the least-squares solution of the system in expectation at a linear convergence rate, which is faster than the tensor randomized extended Kaczmarz method. Its Fourier version is also analyzed, and the convergence property is provided. Numerical experiments verify the efficiency of the tensor randomized coordinate descent methods, which outperform the existing iterative methods in solving inconsistent tensor linear systems.
Mathematics Subject Classification 65F10 · 65F20