bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of apolipoprotein M and sphingosine-1-phosphate with brown adipose tissue after cold exposure in humans
Authors: Borup Anna , Donkin Ida , Boon Mariëtte R. , Frydland Martin , Martinez-Tellez Borja , Loft Annika , Keller Sune H. , Kjaer Andreas , Kjaergaard Jesper , Hassager Christian , Barrès Romain , Rensen Patrick C. N. , Christoffersen Christina 
Published: November 2022

AbstractThe HDL-associated apolipoprotein M (apoM) and its ligand sphingosine-1-phosphate (S1P) may control energy metabolism. ApoM deficiency in mice is associated with increased vascular permeability, brown adipose tissue (BAT) mass and activity, and protection against obesity. In the current study, we explored the connection between plasma apoM/S1P levels and parameters of BAT as measured via 18F-FDG PET/CT after cold exposure in humans. Fixed (n = 15) vs personalized (n = 20) short-term cooling protocols decreased and increased apoM (− 8.4%, P = 0.032 vs 15.7%, P < 0.0005) and S1P (− 41.0%, P < 0.0005 vs 19.1%, P < 0.005) plasma levels, respectively. Long-term cooling (n = 44) did not affect plasma apoM or S1P levels. Plasma apoM and S1P did not correlate significantly to BAT volume and activity in the individual studies. However, short-term studies combined, showed that increased changes in plasma apoM correlated with BAT metabolic activity (β: 0.44, 95% CI [0.06–0.81], P = 0.024) after adjusting for study design but not BAT volume (β: 0.39, 95% CI [− 0.01–0.78], P = 0.054). In conclusion, plasma apoM and S1P levels are altered in response to cold exposure and may be linked to changes in BAT metabolic activity but not BAT volume in humans. This contrasts partly with observations in animals and highlights the need for further studies to understand the biological role of apoM/S1P complex in human adipose tissue and lipid metabolism.
Predicting overall survival in diffuse glioma from the presurgical connectome
Authors: Kesler Shelli R. , Harrison Rebecca A. , Rao Vikram , Dyson Hannah , Petersen Melissa , Prinsloo Sarah 
Published: November 2022

AbstractDiffuse gliomas are incurable brain tumors, yet there is significant heterogeneity in patient survival. Advanced computational techniques such as radiomics show potential for presurgical prediction of survival and other outcomes from neuroimaging. However, these techniques ignore non-lesioned brain features that could be essential for improving prediction accuracy. Gray matter covariance network (connectome) features were retrospectively identified from the T1-weighted MRIs of 305 adult patients diagnosed with diffuse glioma. These features were entered into a Cox proportional hazards model to predict overall survival with 10-folds cross-validation. The mean time-dependent area under the curve (AUC) of the connectome model was compared with the mean AUCs of clinical and radiomic models using a pairwise t-test with Bonferroni correction. One clinical model included only features that are known presurgery (clinical) and another included an advantaged set of features that are not typically known presurgery (clinical +). The median survival time for all patients was 134.2 months. The connectome model (AUC 0.88 ± 0.01) demonstrated superior performance (P < 0.001, corrected) compared to the clinical (AUC 0.61 ± 0.02), clinical + (AUC 0.79 ± 0.01) and radiomic models (AUC 0.75 ± 0.02). These findings indicate that the connectome is a feasible and reliable early biomarker for predicting survival in patients with diffuse glioma. Connectome and other whole-brain models could be valuable tools for precision medicine by informing patient risk stratification and treatment decision-making.
Energy-efficient distributed heterogeneous re-entrant hybrid flow shop scheduling problem with sequence dependent setup times considering factory eligibility constraints
Authors: Geng Kaifeng , Liu Li , Wu Zhanyong 
Published: November 2022

AbstractIn the face of energy crisis, manufacturers pay more and more attention to energy-saving scheduling. In the paper, we consider the distributed heterogeneous re-entrant hybrid flow shop scheduling problem (DHRHFSP) with sequence dependent setup times (DHRHFSP-SDST) considering factory eligibility constraints under time of use (TOU) price, which means that each job can only be assigned to its available set of factories and all factories have different number of machines and processing capacity, and so on. To deal with DHRHFSP-SDST, a multi-objective Artificial Bee Colony Algorithm (MOABC) is proposed to optimize both the makespan and total energy consumption. For the MOABC, firstly, a hybrid initialization method is presented to initialize the population; then, due to the electricity price shows significant differences vary from periods under TOU price, the energy saving operator based on right-shift strategy is proposed to avoid processing jobs with the high electricity price without affecting the productivity; thirdly, based on the full consideration of distributed heterogeneous and factory eligibility, crossover and mutation operators, three neighborhood search operators and new food sources generation strategy are designed; lastly, extensive experiments demonstrate the effectiveness of the proposed algorithm on solving the DHRHFSP-SDST.
Acute poisoning in children in Ethiopia: a cross-sectional study
Authors: Molla Yalew Melkamu , Belachew Kassahun Denekew , Ayehu Gashaw Walle , Teshome Assefa Agegnehu 
Published: November 2022

AbstractAcute poisoning is a global pediatric emergency problem. However, a wide variation in patterns of acute poisoning and associated factors across different geographical regions was stated. As a result, our research focused on the investigation of acute poisoning in children. An Institutional-based Retrospective study design was conducted at the University of Gondar comprehensive specialized hospital from October 2016 to October 2020. The analysis of the data was performed via SPSS Version 25. Furthermore, multiple logistic regression analysis was recruited. A P-value ≤ 0.05 was declared as statistically significant. Our study's prevalence of acute poisoning was 82/5489 (1.5%). 53 (64.6%) of patients were males. Of the total patients who had the diagnosis of poisoning, 54 (65.9%) came from rural areas. Venom was the most frequent offending agent (26.8%) and oral ingestion was the most common route of exposure (70.7%). Of the total patients who had the diagnosis of poisoning, 54 (65.9%) came from rural areas. Venom was the most frequent offending agent (26.8%), followed by insecticides (organophosphates) (21.5%). Accidental poisoning was the most common mode of poisoning more often than intentional (75.6–24.4%). The digestive tract (oral ingestion) (69.5%) was the commonest route of poisoning, followed by the cutaneous (skin bite) (24.4%). Death was three times more likely in the rural population than in urban residents [AOR 2.9 (1.21–13.7); P value 0.046]. Appropriate emergency care is the mainstay of the supportive management protocol for childhood poisoning.
Closed-loop vagus nerve stimulation for heart rate control evaluated in the Langendorff-perfused rabbit heart
Authors: Haberbusch Max , Kronsteiner Bettina , Kramer Anne-Margarethe , Kiss Attila , Podesser Bruno K. , Moscato Francesco 
Published: November 2022

AbstractPersistent sinus tachycardia substantially increases the risk of cardiac death. Vagus nerve stimulation (VNS) is known to reduce the heart rate, and hence may be a non-pharmacological alternative for the management of persistent sinus tachycardia. To precisely regulate the heart rate using VNS, closed-loop control strategies are needed. Therefore, in this work, we developed two closed-loop VNS strategies using an in-silico model of the cardiovascular system. Both strategies employ a proportional-integral controller that operates on the current amplitude. While one control strategy continuously delivers stimulation pulses to the vagus nerve, the other applies bursts of stimuli in synchronization with the cardiac cycle. Both were evaluated in Langendorff-perfused rabbit hearts (n = 6) with intact vagal innervation. The controller performance was quantified by rise time (Tr), steady-state error (SSE), and percentual overshoot amplitude (%OS). In the ex-vivo setting, the cardiac-synchronized variant resulted in Tr = 10.7 ± 4.5 s, SSE = 12.7 ± 9.9 bpm and %OS = 5.1 ± 3.6% while continuous stimulation led to Tr = 10.2 ± 5.6 s, SSE = 10 ± 6.7 bpm and %OS = 3.2 ± 1.9%. Overall, both strategies produced a satisfying and reproducible performance, highlighting their potential use in persistent sinus tachycardia.
Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling
Authors: El-Melegy Moumen , Kamel Rasha , El-Ghar Mohamed Abou , Shehata Mohamed , Khalifa Fahmi , El-Baz Ayman 
Published: November 2022

AbstractEarly diagnosis of transplanted kidney function requires precise Kidney segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary step. In this regard, this paper aims to propose an automated and accurate DCE-MRI kidney segmentation method integrating fuzzy c-means (FCM) clustering and Markov random field modeling into a level set formulation. The fuzzy memberships, kidney’s shape prior model, and spatial interactions modeled using a second-order MRF guide the LS contour evolution towards the target kidney. Several experiments on real medical data of 45 subjects have shown that the proposed method can achieve high and consistent segmentation accuracy regardless of where the LS contour was initialized. It achieves an accuracy of 0.956 ± 0.019 in Dice similarity coefficient (DSC) and 1.15 ± 1.46 in 95% percentile of Hausdorff distance (HD95). Our quantitative comparisons confirm the superiority of the proposed method over several LS methods with an average improvement of more than 0.63 in terms of HD95. It also offers HD95 improvements of 9.62 and 3.94 over two deep neural networks based on the U-Net model. The accuracy improvements are experimentally found to be more profound on low-contrast images as well as DCE-MRI images with high noise levels.
Dispersive silicon–nitride optical phased array incorporating arrayed waveguide delay lines for passive line beam scanning
Authors: Bhandari Bishal , Wang Chenxi , Gwon Ji-Yeong , Heo Jin-Moo , Ko Sung-Yong , Oh Min-Cheol , Lee Sang-Shin 
Published: November 2022

AbstractAs optical phased arrays (OPAs), used as solid-state beam scanning elements, swiftly stride towards higher efficiency and faster scanning speed, the line beam scanner is emerging as a viable substitute for its counterpart relying on point-beam-incorporated raster scanning. However, line-beam scanners require active phase shifters for beam scanning; thus, they consume more power and have complex device designs. This study proposes and demonstrates a dispersive silicon–nitride OPA that allows for passive wavelength-tuned steering of a line beam with an elongated vertical beamwidth. To steer the line beam passively covering the two-dimensional field of view, we deployed an array of delay lines with progressive delay lengths across adjacent channels. Furthermore, adiabatic tapers that allow precise effective array aperture adjustment are used as emitter elements to flexibly realize different vertical beamwidths. Combinations of different delay-length differences and taper tip-widths resulted in beam coverage (lateral × vertical) ranging from 6.3° × 19° to 23.8° × 40° by tuning the wavelength from 1530 to 1600 nm. The main lobe emission throughput was as small as − 2.8 dB. To the best of our knowledge, the embodied OPA is the first demonstration of a passive line beam scanner facilitating an adjustable beam coverage with quick operation and enhanced efficiency.
Humans modulate arm stiffness to facilitate motor communication during overground physical human-robot interaction
Authors: Regmi Sambad , Burns Devin , Song Yun Seong 
Published: November 2022

AbstractHumans can physically interact with other humans adeptly. Some overground interaction tasks, such as guiding a partner across a room, occur without visual and verbal communication, which suggests that the information exchanges occur through sensing movements and forces. To understand the process of motor communication during overground physical interaction, we hypothesized that humans modulate the mechanical properties of their arms for increased awareness and sensitivity to ongoing interaction. For this, we used an overground interactive robot to guide a human partner across one of three randomly chosen paths while occasionally providing force perturbations to measure the arm stiffness. We observed that the arm stiffness was lower at instants when the robot’s upcoming trajectory was unknown compared to instants when it was predicable - the first evidence of arm stiffness modulation for better motor communication during overground physical interaction.
THBS1, a fatty acid-related metabolic gene, can promote the development of laryngeal cancer
Authors: Ji Fei-Hong , Qiu Xin-Guang 
Published: November 2022

AbstractLaryngeal cancer is the second most prevalent head and neck tumor and it is one of the most common malignancies of the upper respiratory tract. Fatty acid metabolism affects cancer cell biology in several ways, and alterations in fatty acid metabolism are characteristic of both tumorigenesis and metastasis. Despite advances in laryngeal cancer diagnosis and treatment over the years, there has been no significant improvement in survival or mortality. Studying the role of fatty acid metabolism-related genes in laryngeal cancer will facilitate our search for valuable biomarkers to guide prognostic management and treatment selection. We constructed a prognostic risk score model for fatty acid metabolism-related genes by downloading and analyzing laryngeal cancers from the TCGA and GEO databases. We predicted survival outcomes of laryngeal cancer patients using a prognostic risk score model of fatty acid metabolism-related genes and analyzed the resistance of laryngeal cancer in different individuals to multiple drugs. In addition, the relationship between the prognostic risk score model and cellular infiltration characteristics of the tumor microenvironment were investigated. Through the prognostic risk scoring model, the genes with risk-prompting effect and related to prognosis were screened out for further research. Through the study of gene expression levels in the TCGA database, we screened out 120 differentially expressed fatty acid metabolism genes. LASSO-Cox and Cox regression analyses identified nine genes associated with prognosis to construct a prognostic risk score model for genes related to fatty acid metabolism. Both TCGA and GEO confirmed that samples in the high-risk score group had a worse prognosis than those in the low-risk score group. We found significant differences between the high-risk and low-risk groups for 22 drugs (P < 0.05). In addition, we found differences in immune cell infiltration between the different risk score groups. Finally, through the risk assessment model, combined with multiple databases, THBS1, a high-risk and prognosis-related gene, was screened. We also found that THBS1 could promote the migration, invasion and proliferation of laryngeal cancer cells by constructing THBS1 knockout cell lines. In our study, we identified key fatty acid-related genes differentially expressed in laryngeal carcinoma that can be used to adequately predict prognosis using a comprehensive bioinformatic experimental approach. It was also found that THBS1, a high-risk and prognosis-related gene, may regulate the occurrence and development of laryngeal cancer through fatty acid metabolism, which has further helped us to explore the role of fatty acid metabolism genes in laryngeal cancer.
Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China
Authors: Yang Song , Xing Yujun , Liu Quanquan , Wang Hairong , Gu Aiguo , Wang Jinzheng , Xue Xiaomin , Chen Ru 
Published: November 2022

AbstractThe frequent and massive use of pesticides has led to pesticide residues in apricot, threatening food safety and human health. A reliable and simple modified QuEChERS method with ultra-performance liquid chromatography-tandem mass spectrometry was developed for the simultaneous determination of 11 pesticides in apricot. Method validation indicated that satisfied linearity (R2 ≥ 0.9959), accuracy (recoveries of 72–119%), sensitivity (limits of detection, 0.03–0.30 μg/kg; limits of quantification, 0.13–1.00 μg/kg), and precision (relative standard deviations ≤ 11.9%), and matrix effects were 0.89–1.13. Apricot samples from different ecological regions in China were collected and tested using the proposed methods. Monitoring results were used to assess the dietary intake risk of Chinese populations of different ages and genders. Dietary risk assessment revealed that the risk quotients were 0.003–1.184% for different gender and age groups in China, indicating none unacceptable public health risk for general population. This work was thus significant in developing a simpler, more efficient and economical analysis method and food safety risks of the 11 pesticides on apricot and facilitated the establishment of maximum residue limits.
Effects of cancer-associated point mutations on the structure, function, and stability of isocitrate dehydrogenase 2
Authors: Chen Xiang , Yang Peipei , Qiao Yue , Ye Fei , Wang Zhipeng , Xu Mengting , Han Xiaowang , Song Li , Wu Yuehong , Ou Wen-Bin 
Published: November 2022

AbstractMutations in isocitrate dehydrogenase (IDH) are frequently found in low-grade gliomas, secondary glioblastoma, chondrosarcoma, acute myeloid leukemias, and intrahepatic cholangiocarcinoma. However, the molecular mechanisms of how IDH2 mutations induce carcinogenesis remain unclear. Using overlapping PCR, transfection, immunoblotting, immunoprecipitation, measurements of enzyme activity, glucose, lactic acid, ATP, and reactive oxygen species (ROS), cell viability, protein degradation assays post-inhibition of the 26S proteasome (bortezomib) or HSP90 (17-AAG), and a homology model, we demonstrated that the properties of ten cancer-associated IDH2 variants (R140G/Q/W and R172S/K/M/W/G/C/P) arising from point mutations are closely related to their structure and stability. Compared with wild-type IDH2, the R172 and R140 point mutations resulted in a decrease in IDH2 activity, ROS, and lactate levels and an increase in glucose and ATP levels under normal and hypoxic conditions, indicating that mutant IDH2 increases cell dependency on mitochondrial oxidative phosphorylation, and reduces glycolysis under hypoxia. Overexpression of most of IDH2 point mutants showed anti-proliferative effects in the 293T and BV2 cell lines by inhibition of PI3K/AKT signaling and cyclin D1 expression and/or induced the expression of TNF-α and IL-6. Furthermore, bortezomib treatment resulted in dramatic degradation of IDH2 mutants, including R140G, R140Q, R140W, R172S and R172K, whereas it had little impact on the expression of WT and other mutants (R172M, R172W, R172G, R172C and R172P). In addition, targeting HSP90 minimally affected the expression of mutated IDH2 due to a lack of interaction between HSP90 and IDH2. The homology model further revealed that changes in conformation and IDH2 protein stability appeared to be associated with these point mutations. Taken together, our findings provide information important for understanding the molecular mechanisms of IDH2 mutations in tumors.
Sex difference in effect of ankle landing biomechanics in sagittal plane on knee valgus moment during single-leg landing
Authors: Lee Jinkyu , Shin Choongsoo S. 
Published: November 2022

AbstractAnkle landing strategies affects the biomechanical characteristics of the knee joint, especially knee frontal plane loading. However, no studies have investigated whether the association between ankle landing biomechanics in sagittal plane and the knee frontal plane loading differs between sexes. The purpose of this study was to examine whether there is a sex difference in the effect of ankle plantar flexion at the contact angle, ankle range of motion (ROM), and ankle plantar flexion moment on knee valgus loading during single-leg landing. Twenty-five females and twenty-four males performed a single-leg landing. Joint kinematics and kinetics of the lower extremities were measured. The relationship between ankle biomechanics in the sagittal plane (ankle plantar flexion angle at contact, ROM, and peak ankle plantar flexion moment) and peak knee valgus moment were analyzed. In males, the larger ankle plantarflexion angle at contact and ROM were significantly associated with lower peak knee valgus moment. In addition, in males only, a greater peak ankle plantar flexion moment was significantly associated with a lower peak knee valgus moment and greater peak ankle inversion moment. Altering ankle landing strategies in the sagittal plane during single-leg landing may reduce the knee valgus moment, which is one of risk factors for anterior cruciate ligament injury, in males only.
Quality of life questionnaires validate a remote approach to ophthalmic management of primary Sjögren’s syndrome
Authors: Greenan E. , Pilson Q. , Ní Gabhann-Dromgoole J. , Murphy C. C. 
Published: November 2022

AbstractThose with underlying autoimmune conditions were met with unparalleled challenges and were disproportionately affected by the COVID-19 pandemic. As such, we aimed to measure the impact of the pandemic on symptoms and the health and vision related quality of life (HR-QoL, VR-QoL) in patients with Primary Sjögren's Syndrome (pSS). Nineteen (55.9%) participants returned questionnaires for analysis, (17 female and 2 male, 61.6 years ± 9.9). There was no significant change in participants HR-QoL or VR-QoL, indicating that those with pSS remained resilient with regard to their physical and mental health throughout the pandemic. Furthermore, QoL was maintained despite 73.7% of participants having had outpatient appointments cancelled, delayed or rescheduled. Participants reported a lower QoL and feeling tenser in the COV19-QoL (3.3 ± 1.4 and 3.2 ± 1.3) representing feelings of apprehension and stress felt amongst the general population since the pandemic. Overall, and in spite of the concern caused by the COVID-19 pandemic for patients with autoimmune diseases, the health and well-being of patients with pSS remained stable. These findings strongly support the use of validated HR and VR-QoL questionnaires as an adjunct to the telemedicine consultation when assessing patients with pSS, offering an alternative to face-to-face consultations in post-pandemic era.
Suppression of stacking-fault expansion in 4H-SiC PiN diodes using proton implantation to solve bipolar degradation
Authors: Kato Masashi , Watanabe Ohga , Mii Toshiki , Sakane Hitoshi , Harada Shunta 
Published: November 2022

Abstract4H-SiC has been commercialized as a material for power semiconductor devices. However, the long-term reliability of 4H-SiC devices is a barrier to their widespread application, and the most important reliability issue in 4H-SiC devices is bipolar degradation. This degradation is caused by the expansion of single Shockley stacking-faults (1SSFs) from basal plane dislocations in the 4H-SiC crystal. Here, we present a method for suppressing the 1SSF expansion by proton implantation on a 4H-SiC epitaxial wafer. PiN diodes fabricated on a proton-implanted wafer show current–voltage characteristics similar to those of PiN diodes without proton implantation. In contrast, the expansion of 1SSFs is effectively suppressed in PiN diodes with proton implantation. Therefore, proton implantation into 4H-SiC epitaxial wafers is an effective method for suppressing bipolar degradation in 4H-SiC power-semiconductor devices while maintaining device performance. This result contributes to the development of highly reliable 4H-SiC devices.