bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of welding heat input conditions on the dynamic behavior of pulse laser beam welding molten pool for Ti6Al4V thin plate with clearance
Authors: Kong Bin , Wei Yanhong , Tang Fengye , Chang Yiting , Chen Jicheng
Published: September 2022

For a practical pulse laser beam welding (PLBW) process of metal sheets assembled in butt joint configuration, the precise control of the assembling clearance has been a challenge. The existence of machining burrs and assembly errors will lead to forming severe defects, such as misalignment, welding leakage, and penetrating. In this paper, a pair of Ti6Al4V plates with a 0.2 mm air gap was tested by an improved PLBW process. A three-dimensional multi-phase and multi-physical field coupling model of Ti6Al4V alloy plate with a reserved air gap was established according to the weld profile, and the dynamic behavior of the keyhole and molten pool was simulated. Transient temperature field, velocity field, keyhole size, and liquid bridge connection were calculated by using different welding heat input parameters. The results showed that the weld profile simulated by the CFD model is in good agreement with the experimental results, and the deviation is between 0.68% and 7.95%. After the laser power reaches the peak value, the metal steam eruption weakens and the obvious Marangoni vortex appears in the molten pool. The simulated keyhole is always in three stages, that is, the keyhole appears, and then gradually forms the through-hole. The through hole keeps oscillating, and finally, the keyhole shrinks and disappears when the laser power drops to zero. With the increase of laser peak power, the keyhole shape becomes more curved, indicating that the keyhole oscillation is enhanced. With the increase in welding speed, the stability of the molten pool is improved, and the area of the liquid bridge rises more regularly.
Dipeptidyl peptidase-4 inhibitors and mortality risks in patients with prostate cancer receiving androgen deprivation therapy: a population-based cohort study
Authors: Hui Jeremy , Lee Yan Hiu Athena , Li Simon , Liu Kang , Dee Edward , Ng Kenrick , Chan Jeffrey , Tse Gary , Ng Chi Fai
Published: September 2022

Background Dipeptidyl peptidase-4 inhibitors (DPP-4I) have demonstrated survival benefit in patients with cancer, but their impact on patients with prostate cancer (PCa), especially with androgen deprivation therapy (ADT), is unclear. This study examined the impact of DPP-4I use on mortality risks in patients with type 2 diabetes (T2D) and PCa receiving ADT. Methods Adults with T2D and PCa who received metformin and ADT attending public hospitals in Hong Kong between 1 January 2006 and 31 March 2021 were retrospectively identified. Patients with < 6 months of chemical castration without bilateral orchidectomy, < 6 months of concurrent DPP-4I and ADT use, or missing baseline HbA1c were excluded. DPP-4I users had ≥ 6 months of concurrent DPP-4I and ADT use, while non-users never had DPP-4I use. Included patients were followed-up until 30 September 2021. The endpoints were PCa-specific mortality and all-cause mortality. Inverse probability treatment weighting was used to balance covariates. Results In total, 1465 patients (286 DPP-4I users and 1179 non-users; mean age 76.0 ± 7.9 years old) were analyzed. Over a mean follow-up of 4.0 ± 3.0 years, DPP-4I users had lower risks of PCa-specific mortality (weighted hazard ratio (wHR) 0.40 [95% confidence interval (CI) 0.26–0.59], p < 0.001) and all-cause mortality (wHR 0.59 [95% CI 0.48–0.73], p < 0.001). Such associations were independent of diabetic control. Moreover, the association between DPP-4I use and risks of PCa-specific mortality was independent of chemotherapy or androgen receptor signaling inhibitor use. Conclusions DPP-4I use is associated with decreased mortality risks in patients with T2D and PCa receiving ADT.
Early-Stage Breast Cancer Menopausal Symptom Experience and Management: Exploring Medical Oncology Clinic Visit Conversations Through Qualitative Analysis
Authors: Limbacher Sarah A. , Mazanec Susan R. , Frame Jennifer M. , Connolly Mary C. , Park Sumin , Rozenzweig Margaret Q.
Published: September 2022

Purpose
Women being treated with chemotherapy for breast cancer experience menopausal symptoms that vary in presentation and impact on quality of life. The clinical visit before each chemotherapy cycle provides an important opportunity to allow patients to dialogue with their medical oncology healthcare providers about these symptoms and identify strategies for self-management. The objective of this study was to characterize patient and provider interactions regarding the menopausal symptom experience and management in the context of breast cancer treatment.
Methods
Thematic analysis was employed to analyze 61 transcripts from clinical encounters of women receiving chemotherapy treatment for breast cancer. Transcripts were chosen based on their inclusion of menopausal symptom discussion.
Results
Themes were separated into three distinct categories: patient, clinician, and dyadic themes. The overarching theme was goal discordance in the clinical visit, which was reflected in the following themes: unexpected & unprepared, distressed, disrupted & disturbed, clinical insensitivity, missed opportunity for management and empathy, and use of humor and colloquial language. Overall, women were unprepared for the menopausal symptom experience and clinicians did not often provide management, interventions, or empathetic responses.
Conclusion
There is a need to develop more astute assessment and communication regarding menopausal symptoms during the clinical visit. Possible interventions include a more holistic assessment, algorithms to facilitate the clinician’s attention and response to menopausal symptoms, and treatment of symptoms.
Real-time imaging of traumatic brain injury using magnetic induction tomography
Authors: Jiao Yang , Zhang Tao , Fan Chao , Cao Haiyan , Chao Min , Han Liying , Zhang Weirui , Mao Lei , Liu Ruigang , Xu Canhua , Wang Liang
Published: September 2022

Early diagnosis of traumatic brain injury (TBI) is crucial for its prognosis; however, traditional computed tomography (CT) diagnostic methods rely on large medical devices with an associated lag time to receive results. In the present study, an improved magnetic induction tomography (MIT) data acquisition system was used to detect TBI in an animal model, distinguish the injury level, and locate the injured area. A pneumatically controlled cortical impactor was used to hammer the parietal lobe of anesthetized rabbits twice and three times under the same parameter mode to construct two different TBI rabbit models with significantly different degrees of damage (p = 0.0020). The MIT data acquisition system was used to record data and continuous monitoring for one hour without intervention. A target with increased conductivity is clearly observed in the reconstructed image. The position is relatively fixed and accurate, and the average positioning error of the image is 0.01372 m. The normalized mean reconstruction value of all images increased with time. The slope of the regression line of the normalized mean reconstruction value differed significantly between the two models (p < 0.0001). This indicates that in the animal model, MIT's unique features may facilitate the early diagnosis and localization of TBI and distinguish different degrees of injuries, thereby reducing the risk and mortality of associated complications.
A Detailed Study on Machine Learning Models with respect to wall-following Robots
Authors: Fatima Sana , Nasim syeda Faiza , Arif Fariha , Siddiqui Immad , Siddiqui Hamza , Arshad Maham
Published: September 2022

Machine learning, a class of artificial intelligence (AI), is widely used for big data analytics. It is now vastly used for accomplishing the Robot Navigation task by simply applying different algorithms. These algorithms convert user-generated commands into machine-understandable language. This is done by a wall-following control that is a robot’s movements in arbitrary directions while maintaining a specific distance from a particular wall. This paper illustrates two leading research contributions. Firstly, it discusses the significance of ML models in Robot navigations. Secondly, this paper comprises a detailed study and comparative analysis on the execution of different ML and Deep Learning algorithms using all three robot navigation formats (short, full, and simpler). In this paper, the evaluations and assessments of all the models are done by Monte-Carlo cross-validation.
Two Dimensional Model for Double-Sided Linear Permanent Magnet inner armature synchronous machine With Coreless Stator at on-Load in Different Patterns of Magnetization
Authors: Shirzad Ehsan
Published: September 2022

In this paper is presented a two-dimension analytical model for linear permanent magnet inner armature double sided synchronous motors (LPMIADSSMs). The flux density in all areas of the proposed machine is calculated based on the sub-domain method. According to this method the machine areas is divided into eleven sub-regions as first external, first mover, first PM, first air-gap, first winding, stator, second winding, second air gap, second PM, second external and second mover which sign as FE, FR, FP, FAG, FW, S, SW, SAG, SP, SE, SR. To find the flux density equations, it is mandatory to solve the extracted Maxwell equations and apply the boundary conditions between each two sub-regions, which lead to find the unknown coefficients for flux density in each sub-region. In addition, the influences of magnetization patterns, i.e. parallel, ideal Hal Bach, 2-segment Halbach and bar magnet in the shifting direction of the flux distribution is investigated. To validate the obtained results, the proposed model results are compared with those obtained from finite element method (FEM).
The 3D printed titanium mesh with high porosity has better repair effects than that with low porosity
Authors: Ma Rui , Liu Qian , Zhou Libo , Wang Lingxiao
Published: September 2022

Background
Most patients with insufficient bone mass suffer from severe horizontal or vertical bone defects in oral implant surgery. The purpose of this study was to compare the bone regeneration effects of titanium mesh with different porosity in the treatment of bone defects.
Methods
Nine beagle dogs were equally divided into three groups. Three months after the extraction of the first to fourth premolars of the mandible, three bone defects were randomly selected in the mandible. Bone particles and three kinds of 3D printed titanium nets with different porosity (low porosity group, 55%; medium porosity group, 62%; and high porosity group, 68%) were replanted in situ. Beagle dogs were killed 4, 8, and 12 weeks after surgery. Formalin fixed specimens were embedded in acrylic resin. The specimens were stained with micro CT and hard tissue grinding.
Results
microCT analysis showed that the trabecular thickness, trabecular number, and bone volume fraction of the high porosity group were higher than those of the other two groups. Moreover, the trabecular separation of the high porosity group decreased slightly at any time and was lower than that of the medium porosity and low porosity groups. Histological staining analysis showed that the trabecular number in the high porosity group was higher than in the other two groups at 8 and 12 weeks, and the bone volume fraction was higher than that in the other two groups at 12 weeks. Moreover, the TB. Thmp was higher than that of the LP group at 12 weeks and the trabecular separation was lower in the high porosity group at 4 and 8 weeks. The differences were statistically significant (P < 0.05).
Conclusions
3D printed titanium mesh with high porosity in a certain range may have more advantages than titanium mesh with low porosity in repairing large bone defects.
Treatment of Ischemic Stroke with Wenyang Huayu Formula: network pharmacology analysis and experimental validation
Authors: Ma Wei , Yang Yi-Bao , Xie Ting-Ting , Li Xiangling , Mo Xue-Ni
Published: September 2022

Objective
To explore the mechanism of Wenyang Huayu Formula in the treatment of ischemic stroke based on network pharmacology, molecular docking and experimental verification.
Methods
The chemical components and potential targets in Wenyang Huayu Formula were obtained by network pharmacology, and the targets related to the pathological process of cerebral ischemia-reperfusion were obtained, and the "drug-component-target-disease" was drawn by Cytoscape software,protein interaction network map was drawn based on STRING database.Gene enrichment analysis was using the Metascape database, and the Autodock vina software was using for molecular docking to determine the pathways and targets of Wenyang Huayu Formula, which were verified by vivo experiments in rats.
Results
277 drug targets and 3777 disease targets of Wenyang Huayu Formula were retrieved. The core components were Quercetin, kaempferol, luteolin, etc., and the core targets were AKT1, TP53, IL6, CASP3, IL1β, etc.Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis yielded 222 entries, involving Cellular senescence, TNF signaling pathway, Toll-like receptor signaling pathway, etc. Molecular docking results showed that the core component and the core protein had good binding energy. Vivo experiments results shown that: Stigmasterol, C-Homoerythrinan, luteolin and other components in Wenyang Huayu Formula may act on targets such as IL-6, IL-1β and TNF-α through the TLR4/NF-κB signaling pathway, and play roles in neural protection, reduce reperfusion injury, inhibit apoptosis, anti-inflammatory and other effects.
Conclusion
The mechanism of ischemic stroke by Wenyang Huayu Formula was the result of multi-component, multi-target and multi-channel interaction, and its mean mechanism may inhibit cell apoptosis, reduce inflammation and promote blood vessels through the TLR4/NF-κB signaling pathway.
Neuromuscular activation of the quadriceps femoris, including the vastus intermedius, during isokinetic knee extensions
Authors: Akima Hiroshi , Maeda Kazuhiro , Shima Norihiro
Published: September 2022

The purpose of this study was to compare the neuromuscular activation patterns of the individual muscles of the quadriceps femoris (QF), including the vastus intermedius (VI), during isokinetic concentric (CON) and eccentric (ECC) contractions. Thirteen healthy men performed maximum isokinetic CON and ECC knee extensions at angular velocities of 30, 90, and 120°/sec at knee joint angles from 80° to 180° (180° = full extension). The surface electromyographic (EMG) activities of the four individual muscles of the QF were recorded. The root mean squares of the EMG signals were normalized by the root mean square (nRMS) during CON contraction at 30°/sec. To investigate the nRMS changes, we classified the range of motion into four subcategories for each CON and ECC contraction. The nRMS of the VI was significantly higher in the flexed position during CON and ECC contractions at all velocities, and gradually decreased toward the extended positions regardless of the type of muscle contraction or angular velocity. These results suggest that the QF undergoes neuromuscular activation in a joint angle-dependent manner. In particular, the VI may contribute greatly during flexed contractions, independent of the type of contraction and angular velocity.
Effects of preoperative immunonutrition with surgical site infection after radical cystectomy and ileal conduit for muscle invasive bladder cancer
Authors: Takeuchi Hiroki , Nakata Wataru , Matsuse Miwa , Tsujimura Go , Tsujimoto Yuichi , Tsujihata Masao , Saijo Takeshi , Ryomoto Kayoko , Momoki Chika , Habu Daiki
Published: September 2022

Background
Radical cystectomy and ileal conduit have a high incidence of surgical site infection. In this study, we evaluated the effects of preoperative immunonutrition on its incidence following these procedures.
Methods
We retrospectively enrolled 86 patients who underwent radical cystectomy and ileal conduit at our hospital between 2014 October and 2021 July. They were sequentially divided into the Immunonutrition group (n = 43) and Control group (n = 43). Patients in the Immunonutrition group drank 4 packs of IMPACT (Nestle, Japan) per day for 5 days before surgery. IMPACT contains arginine and eicosapentaenoic acid. We compared levels of plasma arginine and eicosapentaenoic acid before and after surgery and the rate of surgical site infection between the groups. Factors related to surgical site infection were analyzed using univariate and multivariable logistic regression analysis.
Results
No statistically significant differences were observed in patient characteristics between the groups except for surgical operative method (p < 0.001) and transfusion (p = 0.009). Levels of plasma arginine and eicosapentaenoic acid were significantly increased the day before surgery in the immunonutrition group (p < 0.001). However, the levels of plasma arginine on the day after surgery did not vary significantly between the groups. The incidence of surgical site infection was significantly lower in the immunonutrition group (p = 0.014). Multivariate analyses showed a significant association of surgical site infection with immunonutrition (OR = 0.14, CI 0.03–0.72, p = 0.019) and with ASA classification (OR = 4.76, CI 1.23–18.40, p = 0.024).
Conclusions
Preoperative immunonutrition significantly reduced the incidence of surgical site infection following radical cystectomy and ileal conduit.
Apelin-13 Alleviates Hexavalent Chromium-Induced Myocardial Injury by Inhibiting ROS-mediated Oxidative Damage and Regulating Multiple Signals
Authors: Zhang Pu , Fu Rong , Liu Hengshu , Li Wang , Zhang Yingying , Song Na , Liu Hui , Yao Na , Xue Jianfeng , Yin Luhua , Chao Cui
Published: September 2022

Background
Hexavalent chromium (Cr (VI)) from environmental pollution shows severe toxicity towards human organs by causing oxidative damage. Apelin-13 may inhibit oxidative damage by blocking ROS accumulation and regulating multiple signals.
Methods
However, whether apelin-13 can attenuate Cr (VI)-induced toxicity has not been explored. Herein, the protective effect and molecular mechanism of apelin-13 against K2Cr2O7-induced cardiotoxicity in vitro and in vivo were evaluated.
Results
Apelin-13 significantly inhibited K2Cr2O7-induced H9c2 cytotoxicity and apoptosis, followed by the attenuated PARP cleavage and caspase activation. Further investigation revealed that apelin-13 co-treatment effectively suppressed K2Cr2O7-induced oxidative damage by inhibiting ROS accumulation. Moreover, apelin-13 co-treatment dramatically normalized MAPKs and PI3K/AKT pathways in K2Cr2O7-treated H9c2 cells. Importantly, apelin-13 administration in vivo effectively attenuated myocardial fibrosis, improved angiogenesis, and inhibited myocardial abnormal proliferation and apoptosis.
Conclusions
Ultimately, it alleviated K2Cr2O7-induced myocardial injury in rats.Taken together, our findings validated the strategy of the use of apelin-13 to effectively combat Cr (VI)-induced myocardial injury.
Electrochemical Detection of Some Water Soluble and Fat Soluble Vitamins by Using Bare Pencil Graphite Electrode
Authors: ÖZÇİL İHSAN EROL , SARUHAN TOLGA , ADUN PERİHAN
Published: September 2022

Vitamins are a group of organic compounds needed in small quantities by the body to perform its essential functions like growing, regulating metabolism and maintain a healty immune system. In recent years, substantial efforts have been focused on development of simplified, fast and cost-effective approaches for vitamin analysis. Aim of this study was electrochemical detection of some water and fat-soluble vitamins individualy and simultaneously by using bare pencil graphite electrode (PGE). Vitamins of C, B1, B6, B12, A, D3, and E were selected and electrochemically analyzed in pharmaceutical preparates. Simultaneous analysis of water-soluble vitamins by using DPV with PGE can be promising technique for the determination of vitamin C and B6 or vitamin B1, B12 and B6. In the case of fat-soluble vitamins, resolution between vitamin D3 and E was not satisfactory. However, vitamin A and D or vitamin A and E could be detected in a single run. Limit of detection of the selected vitamins were quite low (4-548 µg/ml).
MoMaf1 mediates vegetative growth, conidiogenesis, and pathogenicity in the rice blast fungus Magnaporthe oryzae
Authors: Qian Bin , Guo Lingyuan , Song Chi , Ji Hong
Published: September 2022

In eukaryotes, Maf1 is an essential and specific negative regulator of RNA polymerase (Pol) III. Pol III, which synthesizes transfer RNAs (tRNAs), is suppressed by Maf1 under conditions of nutrient starvation or environmental stress. Here, we identified M. oryzae MoMaf1, a homolog of ScMaf1 in budding yeast. A heterogeneous complementation assay revealed that MoMaf1 fully restored growth defects in the ΔScmaf1 mutant under SDS stress. Disrupting MoMAF1 elevated the tRNA content and increased sensitivity to cell wall agents. Moreover, the ΔMomaf1 mutant exhibited reduced vegetative growth, conidiogenesis, and pathogenicity. Interestingly, we found that MoMaf1 undergoes nuclear–cytoplasmic shuffling, through which MoMaf1 accumulates in nuclei under nutrient deficiency or upon the interaction of M. oryzae with rice. Therefore, this study helps to elucidate the pathogenic molecular mechanism of M. oryzae.
Restricted prognostic value of tumor size in gastric cancer: A retrospective cohort study based on SEER database
Authors: Xiao Jian , Shen Kuan , Fan Hao , Wang Gang , Liu Kanghui , Wang Yuanhang , Ma Xiang , Ni Peidong , Xu Zekuan , Yang Li
Published: September 2022

Background: Although tumor size (Ts) is regarded as the “T” stage of the Tumor-Node-Metastasis (TNM) staging system for many solid tumors, the prognostic impact in gastric cancer (GC) remains uncertain and conflicting.
Methods: We enrolled 6960 eligible cases from the Surveillance, Epidemiology, and End Results (SEER) database. The X-tile program was used to select the best cutoff value of Ts. Then the Kaplan-Meier method and the Cox proportional hazards model were applied to examine the efficacy of Ts on prognostic prediction for overall survival (OS) and gastric cancer-specific survival (GCSS). The presence of nonlinear association was determined by restricted cubic splines (RCS).
Results: Ts was divided into three groups: small size (≤ 2.5 cm), medium size (2.6-5.2 cm), and large size (≥ 5.3 cm). After adjusting by covariates, Ts larger than 2.5 cm predicted a worse prognosis; however, no survival difference on OS was suggested between the medium and large groups. Similarly, according to the adjusted RCS models, for tumors larger than 3.9 cm, large tumor size showed no significant differences on OS and GCSS with those smaller. However, the stratified analyses proposed the usage of the 3-way cut of Ts in prognostic prediction for patients with both inadequate lymphadenectomy and negative lymph node metastasis.
Conclusions: Ts as a prognostic predictor may not have good clinical applicability in GC. Otherwise, it is recommended for patients with both insufficient examination of lymph nodes and stage N0 disease.
Identification of Prognosis Signature and Analysis of the Immune Microenvironment in Gastric Cancer Based on ALKBH5
Authors: Ji Tiannan , Gao Xiaohui , Li Dan , Huai Siyuan , Chi Yajing , An Xian , Ji Wenyu , Yang Siming , Li Jianxiong
Published: September 2022

Background
N6-methyladenosine(m6A) RNA regulators play important roles in cancers, but the functions and mechanism of them have not been demonstrated clearly in gastric cancer (GC).
Methods
In this study, the GC samples with clinical information and RNA transcriptome were downloaded from TCGA database. The different expression genes were compared by absolute value and median ± standard deviation (sd). Samples with complete information were randomly divided into training dataset and test datasets. The differential expression genes (DEGs) between ALKBH5-low and ALKBH5-high subgroups were identified in training dataset and constructed a risk model by Cox and LASSO regression. The model was testified in test datasets, the overall survival (OS) was compared with Kaplan-Meier method and immune cells infiltration was calculated by CIBERSORT algorithm in the low-risk and high-risk subgroups based on the model.
Results
ALKBH5 was the only one regulator whose expression was lower in tumor samples than that in normal samples, there was the same phenomenon in GEO dataset GSE29998. Low expression of ALKBH5 led to poor overall survival of GC patients and seemed to be an independent protective factor. The model based on ALKBH5 regulated genes was validated in both two datasets (training/test) and it displayed potential capacity to predict clinical prognosis. Gene Ontology (GO) analysis implied that the DEGs were involved in immune response, CIBERSORT results indicated that ALKBH5 and its related genes could alter the immune microenvironment of GC.
Conclusions
In this study we found that ALKBH5 might be a suppressor of GC, ALKBH5 and its related genes were latent biomarkers and immunotherapy targets.
The anti-tumor effect of a novel agent MCL/ACT001 in pancreatic ductal adenocarcinoma
Authors: Yang Juan , Li Yin , Han Xiao , Pei Xiaolin , Lin Zhoujun , Li Chenggang
Published: September 2022

Purpose
Pancreatic ductal adenocarcinoma (PDAC) is a major challenge in cancer therapy, there are more than four hundred thousand deaths a year and the 5-year survival rate less than 10%. The incidence continues to rise. Treatment with classic drugs offers limited therapeutic benefits. The aim of this study was to investigate a new agent ACT001, the active metabolite is Micheliolide (MCL), study the mechanism and effect in vitro and in vivo against PDAC.
Methods
MTT assay, wound healing assay and flow cytometry were used to assess the effects of MCL/ACT001 in vitro. DCFH-DA assay was to assess ROS accumulation. Western blotting, Immunohistochemical staining and TUNEL assay were also conducted to determine the mechanisms. PANC-1-Luc cells and bioluminescent reporter imaging were used to assess anti-tumor effect of ACT001 using a GSC orthotopic xenograft model in vivo.
Results
MCL/ACT001 inhibited cell growth in PDAC in a dose-dependent manner significantly, induced cell apoptosis, cell migration and reactive oxygen species (ROS) accumulation in vitro. In vivo, ACT001 (400 mg/kg/day) inhibited PDAC tumor growth in orthotopic xenograft mice. We verified that EGFR, Akt were overexpressed in PDAC cells and patient tumors markedly. Mechanism investigations revealed that MCL exerted its anti-tumor activity via regulation of EGFR-Akt-Bim signaling pathway thus inducing Bim expression both in vitro and in vivo.
Conclusion
MCL/ACT001 is a highly promising agent in the treatment of PDAC patients.
SML-AutoML: A Smart Meta-Learning Automated Machine Learning Framework
Authors: Gomaa Ibrahim , Zidane Ali , Mokhtar Hoda M. O. , El-Tazi Neamat
Published: September 2022

Machine Learning (ML) and Automated Machine Learning (Auto-ML) had attracted more attention and interest in industrial applications in recent years. Machine learning pipeline includes repetitive tasks such as data pre-processing, feature engineering, model selection and hyper-parameter optimization. Building a machine learning model requires extensive time for development, stress-testing, and multiple experiments. Besides, building a model with a small search space of pipeline steps with multiple algorithms and hyper-parameters takes hours. Hence, Auto-ML has been widely adapted to save time and efforts on such tasks. Nevertheless, there are many limitations in the existing Auto-ML frameworks. Most of the existing Auto-ML pipeline frameworks focus only on a part of the ML pipeline which does not always result in the optimum overall pipeline for the given dataset. Moreover, several Auto-ML pipeline frameworks ignore integrating meta-learning, thus they recommend a well-performing pipeline for a single task and not a global and generic optimal pipeline. Thus, for new tasks they must search for a new pipeline. Furthermore, although there are Auto-ML frameworks that consider the complete pipeline but imbalanced datasets did not receive much attention from the proposed Auto-ML frameworks. To tackle these challenges, we propose a new efficient Auto-ML framework that is equipped with a meta learning mechanism for automated algorithm selection which also handles imbalanced datasets efficiently. This paper also demonstrates how the proposed framework outperforms the-state-of-the-art frameworks.
Temporal Super-Resolution Traffic Flow Forecasting via Continuous-Time Network Dynamics
Authors: Xie Yi , Xiong Yun , Zhang Jiawei , Chen Chao , Zhang Yao , Zhao Jie , Jiao Yizhu , Zhao Jinjing , Zhu Yangyong
Published: September 2022

Traffic flow forecasting is a critical task for Intelligent Transportation Systems. However, the existed forecasting can only be conducted at certain timestamps, because the data, is discretely collected at these timestamps. In contrast, traffic flow evolves in real-time in a continuous manner in the real world. Therefore, an ideal forecasting paradigm should be performed at arbitrary timestamps instead of only at these certain timestamps. Considering the forecasting timestamps will no longer be restricted by these timestamps, we call such a paradigm as temporal super-resolution forecasting. In this paper, we incorporate the idea of neural ordinary differential equations (Neural ODEs) to handle the problem, modeling the change rate of traffic flow on the urban road. Therefore, due to the continuous nature of ordinary differential equations, the traffic flow at arbitrary timestamps can be forecasted by performing a definite integral for the change rate. The urban road is usually regarded as a network, and the change rate of which can be described by continuous-time network dynamics, we parameterize the network dynamics of the traffic flow to quantify the change rate. On these foundations, we propose Spatial-Temporal Continuous Dynamics Network (STCDN) to complete the temporal super-resolution forecasting task. Extensive experiments on public traffic flow datasets illustrate that our model can achieve high accuracy on temporal super-resolution forecasting while ensuring its performance in conventional experimental settings at these certain timestamps.
Contrasting geochemical and fungal controls on decomposition of lignin and soil carbon at continental scale
Authors: Huang Wenjuan , Yu Wenjuan , Yi Bo , Raman Erik , Yang Jihoon , Hammel KE , Timokhin Vitaliy , Lu Chaoqun , Howe Adina , Weintraub-Leff Samantha , Hall Steven
Published: September 2022

Lignin is an abundant and complex plant polymer that may limit litter decomposition, yet lignin is sometimes a minor constituent of soil organic carbon (SOC). Accounting for geographic diversity in soil characteristics might reconcile this apparent contradiction. We tracked decomposition of a lignin/litter mixture across North American mineral soils using lab and field incubations. Cumulative lignin decomposition varied 18-fold among soils and was strongly correlated with bulk litter decomposition, but not SOC decomposition. Legacy climate predicted decomposition even in the lab. Impacts of nitrogen availability were minor compared with geochemical and microbial properties, which had contradictory relationships with lignin and SOC decomposition. Lignin decomposition increased with some metals and fungi, whereas SOC decomposition decreased with all metals and was weakly related with fungi. Soil properties differentially impact decomposition of lignin and litter vs. SOC across broad geographic scales, linking short-term decomposition to differences in organic matter among ecosystems.
Cardiac magnetic resonance assessment of an adult patient with left anterior descending artery arising from the pulmonary artery: surgical correction is risky
Authors: Yang Huiyuan , Wang Dongni , Dai Xu , Yu Yang
Published: September 2022

An anomalous left anterior descending coronary artery arising from the pulmonary artery (ALADAPA) is even much rare than anomalous left coronary artery arising from the pulmonary artery (ALCAPA). Early surgical correction is essential for classic ALCAPA, however, left circumflex (LCX) originating from aorta and well-developed collaterals in adult ALADAPA can minimize the risk of myocardial ischemia. It raised a question whether surgery correction is necessary in this community. We report a 45-year-old ALADAPA patient with apical myocardial necrosis and thrombus formatting after surgical treatment by using cardiac magnetic resonance (CMR) evaluation, which is generally considered to be associated with poorer clinical outcomes.
This rare case indicated that potential risk of surgical correction is non-negligible, the treatment decision for adult ALADAPA patients with mild syndrome should be made with greater caution when only moderate benefit is expected.
A New Robust Bootstrapped Singular Value Decomposition Algorithm Using the Sample Myriad Estimate
Authors: JOHN Chisimkwuo , EKPENYONG Emmanuel J. , NWORU Charles Chinedu , OMEKARA Chukwuemeka O.
Published: September 2022

Singular value decomposition (SVD) of rectangular datasets has proved to be a useful multivariate data decomposition approach because of its ability to decompose both square and rectangular matrices. Choi & Huh (1996) SVD approach utilizes the median as a robust location estimate other than the mean estimate used in the ordinary SVD. Since insufficient dataset and in addition, inefficiency of the median estimate seems to be a major setback of the existing robust SVD systems, this study envisaged an integrated algorithm that incorporated the BootSVD of Fisher (2016) and the sample Myriad estimate in cropping a new SVD system, the Robust Bootstrapped SVD (RobBootSVD). The new RobBootSVD was appraised alongside the existing ones using the Principal Component Analysis biplot quality measures and the new RobBootSVD T2 measure. Applications on tobacco process datasets with both short and long runs and simulated datasets with various percentages of outliers showcases the viability of the new approach.
JEL Classification: C11, C15, C19, C55
Knowledge, Attitudes and Acceptance towards COVID-19 Vaccination among Health Care Workers in Mukalla city-YEMEN: an analytical cross-sectional study
Authors: Bnqadeem Aseel , Alsabban Mohammed , Bokir Khulod , Al-Ghazali Ruqaiah , Gaber Sarah Bin Ali , Bahamran Marwan , Balfaqih Sumaia , Marei Fatima Bin , Al-Amodi Fatima , Barabaa Ahmed , Shamlan Aseel Bin , Aljaberi Ibrahim , Dahdah Khawla , Atash Sumaia
Published: September 2022

Background

COVID-19 vaccination is one of the greatest public health interventions to reduce the burden of the COVID-19 pandemic. Yemen began on April 2021 to vaccinate healthcare workers for COVID-19 with the vaccine. However, the media's negative portrayal of vaccines safety and efficacy has led to concerns regarding the acceptance of the vaccine. Therefore, our study aimed to assess knowledge, attitudes and acceptance towards COVID-19 Vaccination among HCWs in Mukalla city-Yemen.

Methods

An analytical cross-sectional study was conducted using convenience sampling method in Mukalla city among healthcare workers from April 2022 to May 2022. Data were collected by a self-administered questionnaire. A Chi-square test was used to assess the association between independent variables (demographic) and dependent variables (knowledge, attitude and acceptance). Correlation between knowledge and attitude levels with rate of acceptance was assessed using Pearson correlation coefficient.

Results

449 respondents were included in the final analysis, of which 237 (52.8%) were males and 212 (47.2%) were females, with a mean age ± SD of 31.0 ± 7.6 years. The overall results regarding knowledge, attitude, and acceptance rates of the COVID-19 vaccines were 65.3% 63.7% and 68.8% (with an efficacy of 90%), respectively. Acceptance was statistically associated with participants’ job, vaccination state, whether they were dealing with suspected cases of COVID-19 and their source of COVID-19 related information (p-value < 0.05). level of acceptance was moderately correlated with attitude level (r = 0.527).

Conclusion

Healthcare workers were found to have a moderate level of knowledge and attitude toward COVID-19 vaccination. However, acceptance rate was scaling down according to vaccine efficacy. Many demographic characteristics were significantly associated with acceptance of COVID-19 vaccination.
Multi-modal, Multi-task, Music BERT: A Context-Aware Music Encoder Based on Transformers
Authors: Greer Timothy , Shi Xuan , Ma Benjamin , Narayanan Shrikanth
Published: September 2022

Computational machine intelligence approaches have enabled a variety of music-centric technologies in support of creating, sharing and interacting with music content. A strong performance on specific downstream application tasks, such as music genre detection and music emotion recognition, is paramount to ensuring broad capabilities for computational music understanding and Music Information Retrieval (MIR). Traditional approaches have relied on supervised learning to train models to support these music-related tasks. However, such approaches require copious annotated data and still may only provide insight into one view of music—namely, that related to the specific task at hand. We present a new model for supporting music understanding that leverages self-supervision and cross-domain learning. After pre-training using masked reconstruction and self-attention bi-directional transformers, the model is fine-tuned using several downstream music understanding tasks. The results show that our multi-modal, multi-task, music transformer model, which we call M3BERT, generates features that result in better performance on several music-related tasks, indicating the potential of self-supervised and semi-supervised learning approaches toward a more generalized and robust computational approach to modeling music. Our work can offer a starting point for many music-related modeling tasks, with potential applications in learning deep representations and enabling robust end technology applications.
Sexual dysfunction worsen both the general and specific quality of life of women with irritable bowel syndrome. A cross-sectional study
Authors: Camacho Santiago , Díaz Andrea , Pérez Paulina , Batalla Héctor , Flores Yoshua , Altamirano Evelyn , Tijera María de Fátima Higuera-de la , Murguía Daniel , Gómez-Laguna Laura
Published: September 2022

Background: Irritable bowel syndrome (IBS) and sexual dysfunction (SxD) lowers quality of life (QOL) separately, but the effect of their overlap in unselected populations has not been studied. Objective: To evaluate the QOL of IBS women with and without SxD and compare it with controls. Methods: In this cross-sectional assessment, we studied 51 IBS women (Rome IV criteria) and 54 controls. SxD was determined using the female sexual function index questionnaire. QOL was evaluated by the Short Form 36 (SF-36) and IBS-QOL questionnaires. Results: SxD prevalence was similar between IBS women (39.22%) and controls (38.89%). Compared with other groups, IBS patients with SxD showed lower scores in all domains as well as in the physical, mental summaries of the SF-36 and almost all domains (except for body image, food avoidance, and social reaction compared with IBS patients without SxD) and the total score of IBS-QOL. Conclusions: These findings show that SxD worsens both general and specific QOL of women with IBS. The consideration of SxD in patients with IBS will allow us to make a more effective diagnostic and therapeutic approach. Clinical trial registry in Mexico City General Hospital: DI/19/107/03/080. Clinical trials registration: NCT04716738.
Effects of combined resistance and interval training in females with nonalcoholic fatty liver disease
Authors: Esmaeili Sima
Published: September 2022

Background
Nonalcoholic fatty liver disease (NAFLD) describes liver inflammation due to excessive fat accumulation and leading to conditions such as liver failure or cirrhosis. Exercise and physical activity can potentially reduce fat levels in the liver. Also, it is shown that combined resistance and interval training (CRIT) is a stronger stimulation for reducing inflammation, through decreasing body fat. Therefore, this study investigated the effect of CRIT on serum levels of fibroblast growth factor 21, fetuin-A, aspartate aminotransferase, alanine aminotransferase, insulin resistance, and lipid profile in females with nonalcoholic fatty liver disease.
Methods
Twenty-nine females (age range: 49.92 ± 7.16 years) with NAFLD participated in this study and were randomly divided into CRIT (n = 17) and control (n = 12) groups. The CRIT group did combined body weight resistance and interval exercises for eight weeks (three times a week and 40 minutes per session) with a constant increase in the workload, while the individuals in the control group followed their routine daily activities.
Results
Eight weeks of CRIT decreased fetuin-A, HOMA-IR, LDL and increased HDL and fibroblast growth factor 21. Levels of liver enzymes such as ALP, ALT and AST were also decreased by eight weeks of CRIT.
Conclusion
Eight weeks of CRIT improved liver enzymes, body composition, lipid profiles, and the serum levels of two hepatokines (fetuin-A and FGF-21) in inactive obese females with NAFLD. Our findings support the view that CRIT may be an effective non-medical therapeutic strategy to decrease NAFLD risk factors and obesity-induced disorders.
Phase separation to visualize protein-protein interactions and kinase activities in planta
Authors: Safi Alaeddine , Smagghe Wouter , Goncalves Amanda , Cappe Benjamin , Riquet Franck , Mylle Evelyn , Damme Daniël Van , Geelen Danny , De Jaeger Geert , Beeckman Tom , Leene Jelle Van , Vanneste Steffen
Published: September 2022

Protein complex formation and dynamic post-translational modifications are notoriously difficult to monitor at cellular resolution. Here, we developed a versatile modular toolbox of fluorescently labelled, artificial homo-oligomerizing peptide-tags (HOTag) that install interaction-dependent liquid-liquid phase-separation upon interaction between two proteins of interest. We deployed our novel toolbox for the in planta visualization of inducible, binary and ternary protein-protein interactions (PPIs), as well as specific phosphorylation, showing its great potential to become a robust standard technique to study PPIs and phosphorylation in plants.
Shortness of breath on day 1 after surgery alerting the presence of postoperative pulmonary complications in patients with lung cancer
Authors: Yu Qingsong , Yu Hongfan , Xu Wei , Pu Yang , Nie Yuxian , Dai Wei , Wei Xing , Wang Xin Shelley , Cleeland Charles S , Li Qiang , Shi Qiuling
Published: September 2022

Background: Patient-reported outcome (PRO)-based symptom assessment with a threshold can facilitate the early alert of adverse events. The purpose of this study was to determine whether shortness of breath (SOB) on postoperative day 1 (POD1) can inform postoperative pulmonary complications (PPCs) for patients after lung cancer (LC) surgery.
Methods: Data were extracted from a prospective cohort study of patients with LC surgery. Symptoms were assessed by the MD Anderson Symptom Inventory-lung cancer module (MDASI-LC) before and daily after surgery. Types and grades of complications during hospitalization were recorded. SOB and other symptoms were tested for a possible association with PPCs by logistic regression models. Optimal cutpoints of SOB were derived, using the presence of PPCs as an anchor.
Results: Among 401 patients with complete POD1 MDASI-LC and records on postoperative complications, 46 (11.5%) patients reported grade Ⅱ-Ⅳ PPCs. Logistic regression revealed that higher SOB score on POD1 (odds ratio [OR]=1.13, 95% CI=1.01-1.27), male(OR=2.86, 95% CI=1.32-6.23), open surgery (OR=3.03, 95% CI=1.49-6.14), and lower forced expiratory volume in one second (OR=1.78, 95% CI=1.66-2.96) were significantly associated with PPCs. The optimal cutpointwas 6 (on a 0-10 scale) for SOB. Patients reporting SOB < 6 on POD1 had shorter postoperative length of stay than those reporting 6 or greater SOB (median, 6 vs. 7, P =0.007).
Conclusion: SOB on POD1 can inform the onset of PPCs in patients after lung cancer surgery. PRO-based symptom assessment with a clinically meaningful threshold could alert clinicians for the early management of PPCs.
Investigation of Volumetric Deformation and Shear Strength Behavior of Sand-Bentonite Mixtures under High Temperature in the Presence of Perlite Additive
Authors: GÜNERİ Esra , YUKSELEN AKSOY Yeliz
Published: September 2022

Enerji yapıları etrafında ortaya çıkan yüksek sıcaklığın zeminlerin mühendislik özelliklerini negatif yönde etkilemesi istenilmeyen bir durum olduğundan, bu alanlarda kullanılmak üzere yüksek sıcaklığa karşı bariyer görevi görecek yeni malzemelere ya da karışımlara ihtiyaç duyulmaktadır. Bu gereksinim doğrultusunda, inşaat sektöründe ısı yalıtımında kullanılan "perlit", halihazırda tampon malzeme olarak kullanılan kum-bentonit karışımına eklenerek yüksek sıcaklığa dayanıklı yeni bir karışım elde edilmesi amaçlanmıştır. Bu çalışmada perlit katkılı kum-bentonit karışımlarının oda sıcaklığı altında kompaksiyon, konsolidasyon deneyleri ve aynı zamanda hem oda (22~25°C) hem de yüksek sıcaklık altında (80°C) kesme kutusu deneyleri gerçekleştirilmiştir. Kompaksiyon deneylerinden elde edilen sonuçlara göre perlit katkısı kum-bentonit karışımlarının birim hacim ağırlık değerini azaltırken, optimum su içeriğini arttırmıştır. Karışımda perlit içeriği arttıkça toplam düşey deformasyonun arttığı ve kayma dayanımının hem oda hem de 80°C' sıcaklık altında perlit katkısı ile birlikte azaldığı belirlenmiştir.
An Investigation of Torsional Behaviour of Reinforced Concrete Buildings by using Fiber Element Method
Authors: KARATON Muhammmet , YILMAZ İsra
Published: September 2022

Bu çalışmada, 15×15 m boyutlarına sahip 24 katlı betonarme üç tip yüksek binanın (Tip-1, Tip-2, Tip-3) zaman tanım alanında doğrusal olmayan analizleri yapılmıştır. Perdeler, Tip-1 binasında çekirdekte, Tip-2 binasında köşelerde ve Tip-3 binasında ise dış kenarların ortalarında konumlandırılmıştır. Tüm binalarda dört farklı perde alanı seçilmiştir. Betonarme taşıyıcı elemanların kesitleri Kuvvete Dayalı Fiber Eleman Yöntemi ile modellenmiştir. Dinamik analizlerde her katın döşemesi rijit diyafram kabul edilmiştir. Deprem yükü için TBDY-2018’ e göre yapay olarak üretilmiş 11 adet ivme kaydı kullanılmış olup bu ivme kayıtları tüm binaların her iki doğrultusunda etki ettirilmiştir. Karşılaştırmalar, binalardaki hasar bölgesi, bina tepesinin burulma açısı, açısal hız ve açısal ivme tepkilerinin mutlak maksimumlarının maksimum değerleri için yapılmıştır. Kolon ve perde elemanların farklı hasar bölgelerine geçen oranları karşılaştırıldığında en az hasara sahip olan binanın Tip-2 olduğu belirlenmiştir. Aynı zamanda, burulma açısı, açısal hız ve açısal ivme tepkilerinin mutlak maksimumlarının maksimum değerleri dikkate alındığında en düşük değerleri veren bina tipinin Tip-2 olduğu görülmüştür. Sonuç olarak burulma davranışı açısından en uygun bina tipinin Tip-2 olduğu belirlenmiştir.