bluuebunny/crossref_metadata_2025 huggingface dataset:
Medical correlates of first-term attrition in US Navy personnel
Authors: Elkins Trevor Alan , MacGregor A , Dougherty A , Olson A
Published: September 2022

Introduction

First-term attrition (FTA), or failure of a military service member to complete their initial service contract, is a major financial burden and source of lost manpower in the US Navy. The objective of the present study was to examine medical correlates of FTA using healthcare and disability rating data.

Methods

In this retrospective cohort study, all US Navy-enlisted personnel between the years 2003 and 2018 with FTA (n=58 777) and regular discharge (n=203 084) were identified for analysis from accession dates in the Career History Archival Medical and Personnel System. Medical diagnoses from outpatient and inpatient records were abstracted from the Military Health System Data Repository. For a subgroup of the study population discharged with a disability rating (n=12 880), diagnoses were identified from the Integrated Disability Evaluation System. The FTA and regular discharge groups were compared using relative risks (RRs) and 95% CIs, and per cent differences for the disability subgroup analysis.

Results

Compared with regular discharges, those with FTA were more likely to have outpatient and inpatient diagnoses for mental health disorders. Personality disorder yielded the strongest association with FTA in both outpatient (RR=10.45, 95% CI 9.79 to 11.16) and inpatient settings (RR=18.97, 95% CI 14.16 to 25.42). Other disorders associated with FTA included schizophrenia, substance-related disorders, poisoning by psychotropic agents and adjustment disorders. In the disability analysis, the FTA group relative to regular discharges had the largest per cent differences for ‘arthritis, degenerative (hypertrophic or osteoarthritis)’ (10.8% vs 2.5%) and ‘tibia and fibula, impairment’ (3.0% vs 0.4%).

Conclusions

This study provides evidence that FTA is associated with both mental and physical health conditions. Mental and physical factors related to FTA require further examination, particularly whether pre-enlistment screening or early career intervention could lead to mitigation strategies. Future research should extend this analysis to other services and population subgroups.
Logic design method and optimization of hydraulic system for heavy-duty automatic transmission
Authors: Wu Huaichao , Dong Yong , Cao Gang , Zhao Limei , Yang Lv
Published: September 2022

In this paper, the shifting control hydraulic system of the heavy-duty automatic transmission was designed, aiming to unify and standardize design methods. The said system was designed according to the binary logic characteristics of hydraulic components. In addition, to meet the torque transmission requirements and reduce the energy consumption, both the oil pressure supply and flow-regulating system were designed. Mathematical and simulation models of the hydraulic system were established to analyze its performance. Finally, the genetic algorithm was used to optimize the system (within the AMESim environment); the results have shown that the main pressure of each gear was controlled in a reasonable range, and both the pressure of shift clutch and the pressure response time were reduced. In addition, the power loss of the hydraulic system was significantly improved, which improved the practical performance of the overall hydraulic system.
Metric Properties of Non-Commuting Graph Associated to Two Groups
Authors: Mukhtar Salman , Salman Muhammad , Maden Ayse Dilek , Ur Rehman Masood
Published: September 2022

The non-commuting graph associated to a group has non-central elements of the graph as vertices and two elements [Formula: see text] and [Formula: see text] do not form an edge if and only if [Formula: see text]. In this paper, we consider non-commuting graphs associated to dihedral and semidihedral groups. We investigate their metric properties such as center, periphery, eccentric graph, closure and interior. We also perform various types of metric identifications on these graphs. Moreover, we generate metric and metric-degree polynomials of these graphs.
Exploiting Textual Information for Fake News Detection
Authors: Kasseropoulos Dimitrios Panagiotis , Koukaras Paraskevas , Tjortjis Christos
Published: September 2022

“Fake news” refers to the deliberate dissemination of news with the purpose to deceive and mislead the public. This paper assesses the accuracy of several Machine Learning (ML) algorithms, using a style-based technique that relies on textual information extracted from news, such as part of speech counts. To expand the already proposed styled-based techniques, a new method of enhancing a linguistic feature set is proposed. It combines Named Entity Recognition (NER) with the Frequent Pattern (FP) Growth association rule mining algorithm, aiming to provide better insight into the papers’ sentence level structure. Recursive feature elimination was used to identify a subset of the highest performing linguistic characteristics, which turned out to align with the literature. Using pre-trained word embeddings, document embeddings and weighted document embeddings were constructed using each word’s TF-IDF value as the weight factor. The document embeddings were mixed with the linguistic features providing a variety of training/test feature sets. For each model, the best performing feature set was identified and fine-tuned regarding its hyper parameters to improve accuracy. ML algorithms’ results were compared with two Neural Networks: Convolutional Neural Network (CNN) and Long-Short-Term Memory (LSTM). The results indicate that CNN outperformed all other methods in terms of accuracy, when companied with pre-trained word embeddings, yet SVM performs almost the same with a wider variety of input feature sets. Although style-based technique scores lower accuracy, it provides explainable results about the author’s writing style decisions. Our work points out how new technologies and combinations of existing techniques can enhance the style-based approach capturing more information.
The Gordon–Litherland pairing for links in thickened surfaces
Authors: Boden Hans U. , Chrisman Micah , Karimi Homayun
Published: September 2022

We extend the Gordon–Litherland pairing to links in thickened surfaces, and use it to define signature, determinant and nullity invariants for links that bound (unoriented) spanning surfaces. The invariants are seen to depend only on the [Formula: see text]-equivalence class of the spanning surface. We prove a duality result relating the invariants from one [Formula: see text]-equivalence class of spanning surfaces to the restricted invariants of the other. Using Kuperberg’s theorem, these invariants give rise to well-defined invariants of checkerboard colorable virtual links. The determinants can be applied to determine the minimal support genus of a checkerboard colorable virtual link. The duality result leads to a simple algorithm for computing the invariants from the Tait graph associated to a checkerboard coloring. We show these invariants simultaneously generalize the combinatorial invariants defined by Im, Lee and Lee, and those defined by Boden, Chrisman and Gaudreau for almost classical links. We examine the behavior of the invariants under orientation reversal, mirror symmetry and crossing change. We give a 4-dimensional interpretation of the Gordon–Litherland pairing by relating it to the intersection form on the relative homology of certain double branched covers. This correspondence is made explicit through the use of virtual linking matrices associated to (virtual) spanning surfaces and their associated (virtual) Kirby diagrams.
Gromov–Witten invariants of Hilbert schemes of two points on elliptic surfaces
Authors: Alhwaimel Mazen M. , Qin Zhenbo
Published: September 2022

In this paper, we study the Gromov–Witten theory of the Hilbert scheme [Formula: see text] of two points on an elliptic surface [Formula: see text]. Assume that [Formula: see text] contains an element supported on the smooth fibers of [Formula: see text]. By analyzing the degeneracy locus and localized virtual cycle arising from the cosection localization theory of Kiem and Li [Y. Kiem and J. Li, Gromov–Witten invariants of varieties with holomorphic 2-forms, preprint; Y. Kiem and J. Li, Localizing virtual cycles by cosections, J. Amer. Math. Soc. 26 (2013) 1025–1050], we determine the [Formula: see text]-point genus-[Formula: see text] Gromov–Witten invariant [Formula: see text] up to some rational number [Formula: see text] depending only on [Formula: see text] and [Formula: see text], where [Formula: see text], [Formula: see text], [Formula: see text] is a smooth fiber of [Formula: see text], [Formula: see text] with [Formula: see text] being a fixed point, and [Formula: see text]. Moreover, we propose a conjecture regarding [Formula: see text], and prove that the conjecture is true for [Formula: see text] where [Formula: see text] is an elliptic curve and [Formula: see text] is a smooth curve.
NUMERICAL STUDY FOR FRACTIONAL BI-MODAL 2019-nCOV SITR EPIDEMIC MODEL
Authors: ALZAID SARA S. , CHAUHAN R. P. , KUMAR SUNIL , ALKAHTANI BADR SAAD T.
Published: September 2022

Currently, the entire planet is suffering from a contagious epidemic infection, 2019-nCOV due to newly detected coronavirus. This is a lethal infectious virus that has destroyed thousands of lives all over the world. The important aim of this study is to investigate a susceptible-infected-treatment-recovered (SITR) model of coronavirus (2019-nCOV) with bi-modal virus spread in a susceptible population. The considered 2019-nCOV model is analyzed by two fractional derivatives: the Caputo and Atangana–Baleanu–Caputo (ABC). For the Caputo model, we present a few basic mathematical characteristics such as existence, positivity, boundedness and stability result for disease-free equilibria. The fixed-point principle is used to establish the existence and uniqueness conditions for the ABC model solution. We employed the Adams–Bashforth–Moulton (ABM) numerical technique for the Caputo model solution and the Toufik–Atangana (TA) numerical approach for the ABC model solution. Finally, using MATLAB, the simulation results are shown to highlight the impact of arbitrarily chosen fractional-order and model parameters on infection dynamics.
Quantum supergroup Ur,s(osp(1,2)), Scasimir operators and Dickson polynomials
Authors: Liu Fu , Hu Naihong , Jing Naihuan
Published: September 2022

We study the center of two-parameter quantum supergroup [Formula: see text] using the Dickson polynomial. We show that the Scasimir operator is completely determined by the [Formula: see text]-deformed Chebychev polynomial, generalizing an earlier work of Arnaudon and Bauer.
On the irreducible characters of Suzuki p-groups
Authors: Di Wendi , Feng Tao , He Zhiwen
Published: September 2022

In this paper, we completely determine the irreducible characters of the four families of Suzuki [Formula: see text]-groups.
RESEARCH ON ROPE-DRIVEN FLEXIBLE ROBOT FOR HAND REHABILITATION AND EXPERIMENTAL STUDY BASED ON EEG SIGNALS
Authors: GUO KAI , ORBAN MOSTAFA , YANG HONGBO , LI ZHENLAN
Published: September 2022

Dysfunction of hand after stroke can affect patients’ ability to perform daily activities and social ability. This paper developed a flexible hand function rehabilitation robot based on sensory input. First, we designed a flexible external finger muscle based on rope drive, then we designed a special two-way output linear actuator to drive fingers for rehabilitation training. At the same time, we performed vibration stimulation on each finger of the patient and low-frequency electrical stimulation on the patient’s wrist. Sensory stimulation mobilizes the active participation of the brain in rehabilitation training, thereby effectively promoting the rehabilitation effect of fine functions of fingers after stroke. We have completed the hardware design of the flexible hand robot and developed the control software of the flexible hand, thus completing the development of the hand function robot. Finally, experiments were carried out on the use of equipment by using EEG. Experiments show that when the flexible hand robot developed in this paper is used for training, it mobilizes the active participation of the brain in rehabilitation training.
EFFECTS OF THE WINBACK THERAPY ON PAIN AND PHYSIOLOGICAL CHARACTERISTICS OF THE TRAPEZIUS IN PATIENTS WITH WORK-RELATED MUSCULOSKELETAL DISORDERS
Authors: YOON SAMWON , PARK CHANHEE , PARK ILBONG , LEE CHAEKWAN , CHA YOUNGJOO
Published: September 2022

The purpose of this study is to investigate how the pain and physiological characteristics of the trapezius change when the Winback therapy is applied to the trapezius in patients with work-related musculoskeletal disorders (WMSDs). This study was conducted on 30 healthy adults living in Jeju Island. After applying the Winback 3SE high-frequency equipment developed in France, the muscle tone, muscle stiffness, pressure pain threshold, and visual analog scale (VAS) of the trapezius were measured. After the intervention, muscle tone decreased from 16.15 ± 2.02 to 14.22 ± 1.83, muscle stiffness decreased from 285.81 ± 58.26 to 245.83 ± 51.62, pressure pain threshold increased from 62.58 ± 23.28 to 79.38 ± 28.27, and VAS decreased from 3.73 ± 0.73 to 1.01 ± 0.02. These improvements were statistically significant (p < 0.05), and the muscle tone, muscle stiffness, pressure pain threshold improved in the experimental group compared to the control group. The Winback therapy was effective in reducing muscle tone, muscle stiffness, and pain of trapezius in WMSDs.
EFFECT OF MASSOTHERAPY ON THE FATIGUE RECOVERY USING THE SMART MASSAGE CHAIR: A RANDOMIZED CONTROLLED TRIAL
Authors: FU MEIHONG , SUN CHONG , LIU TANGYI , LI SHAOXIONG
Published: September 2022

Objective: This study was envisaged to scientifically analyze the efficacy of the massage chair in reducing the fatigue using the heart rate variability (HRV) and fatigue self-assessment scale (FSAS) in a randomized clinical trial. Methods: 240 fatigue volunteers were divided into the massage chair intervention group and the control group using a completely randomized method. The kneading, pressing, tapping, and flapping techniques in the smart massage chair were used to intervene on the volunteers. The FSAS, HRV, and blood oxygen saturation changes were observed before and after the intervention, and the effect of massage in the smart massage chair to relieve fatigue was explored. Results: The overall exhaustion, mental fatigue, and physical fatigue scores of the FSAS were statistically significant (P < 0.05) before and after the intervention. After the intervention, the overall fatigue, mental fatigue, and physical fatigue scores of the experimental group were significantly lower than those of the control group. The HRVhf, HRVlf, and HRVlf/hf in HRV before and after the intervention between the two groups were statistically significant (P < 0.05), and the HRVhf values of the two groups were significantly increased after the intervention. The HRVlf value was significantly reduced, and the HRVlf value of the control group was increased. After the intervention, the HRVlf/hf value of the experimental group was significantly reduced, and the HRVlf/hf value of the control group increased. There were no significant differences in the HR and SpO2 values (P > 0.05). Conclusion: The massaging approach of the smart massage chair significantly reduced the tiredness scale score of the volunteers, reduced the sympathetic nerve excitability, and increased parasympathetic nerve excitability. The results indicate that the smart massage chair can be used as an effective method for short-term fatigue recovery.
ELECTROCARDIOGRAM SIGNAL CLASSIFICATION ALGORITHM BASED ON THE CONTINUOUS WAVELET TRANSFORM AND GOOGLENET IN AN INTERNET OF THINGS CONTEXT
Authors: DOU SHENGCHANG , SHAO SHILIANG , SONG CHUNHE , SHI HAN , ZHAO HAI
Published: September 2022

The developments in computer-aided diagnostic technology have promoted the advancement of the Medical Internet of Things. Because electrocardiogram (ECG) signals can reflect the health of the human heart, their classification is conducive to diagnosing heart disease. In this study, a novel classification method for ECG signals based on the continuous wavelet transform (CWT) and a convolutional neural network (CNN) is proposed. The proposed method can construct the time-frequency image of an ECG signal using CWT. Subsequently, the image is input to a CNN model. By leveraging the GoogLeNet network model for image recognition, the model establishes an accurate mapping for recognizing different ECG signals. Multiple public datasets are used to validate the effectiveness of the proposed algorithm. In addition, this method exhibits a higher recognition accuracy than other methods.
EFFECT OF BODY POSTURE ON SEGMENTAL MULTIFREQUENCY BIOIMPEDANCE VARIABLES
Authors: KIM KAHYE , JUN MIN-HO , HONG SEUNGHAN , KIM SOOCHAN , YU SANGSEOK , KIM JAEUK U.
Published: September 2022

Integrating measured data from different body postures is important for merging diverse clinical data from segmental multifrequency (SMF) bioimpedance analysis (BIA) and generating reference data. The purpose of this study was to evaluate the effects of changes in posture when measuring raw bioelectrical parameters based on body segment and frequency at various locations in healthy adults. In this study, InBody S10, an SMF-BIA device, was used, and the reliability of the device was verified using the intraclass correlation coefficient of repeated measurement results according to the change in the measurement posture. Measurements were performed in the supine, sitting, and standing positions, and resistance and reactance measured in the changed positions were compared. The supine position exhibited the highest resistance for all body segments and frequencies as well as the highest arm reactance. Resistance decreased monotonically with frequency. In contrast, the reactance of the legs and trunk in the supine position changed its phase above a critical frequency compared to that in the standing and sitting posture. Due to the influence of measurement posture on bioimpedance, regression models between different postures were proposed with body segments and frequencies that enable directly comparing or merging data obtained from various postures. The fit of the linear regression model, which can be used to convert the results from sitting and standing postures to the supine position, was 0.6 or greater. This study elucidates the effect of postural changes on SMF-BIA and enables combining SMF-BIA indicators with positional changes.
RESEARCH ON MAGNETICALLY MEDIATED THERMOACOUSTIC IMAGING BASED ON B-SCAN
Authors: YANG YANJU , CHENG CHUNLEI , YANG WENYAO , LI JIE , ZHANG XIAOYU , ZENG CHONG
Published: September 2022

Magnetically Mediated Thermoacoustic Imaging (MMTAI) is a new imaging technology that uses the thermoacoustic effect of electromagnetic fields. It is capable of a high resolution in ultrasonic imaging and high contrast in electrical impedance imaging. It has considerable potential applications in the early diagnosis of diseases. First, this paper describes the theoretical analysis and numerical simulation of MMTAI. For B-scan thermoacoustic imaging, the thermoacoustic image of a two-dimensional model is simulated and analyzed. The numerical simulation results provide theoretical guidance for the design of the experiment. Second, the B-scan experimental system of MMTAI is designed and built. The imaging experiment was carried out using an imitation gel that contains sodium chloride as the target, and the imaging results were basically consistent with the conductivity distribution of the target. Numerical simulation and physical experiments verify the feasibility of the MMTAI method for low conductivity media. This preliminary study has shown the feasibility of the technique to detect conductivity boundaries, making it relevant for the future application of this method in the field of biomedical imaging.
Research on China’s Pathways to Achieve Carbon Peaking and Carbon Neutrality Goals
Authors: CHAI Qimin
Published: September 2022

Since September 22, 2020, President Xi Jinping, who is also the general secretary of the Communist Party of China (CPC) Central Committee, has reiterated China’s carbon peaking and carbon neutrality goals on many major international occasions and at many important conferences of the CPC Central Committee. The transition to carbon neutrality is becoming a systemic revolution concerning whether China’s high-quality economic and social development and sustainable prosperity can be achieved. Incorporating carbon peaking and carbon neutrality well into overall economic and social development framework and ecological civilization construction, setting out the timetable, clarifying the roadmap, and proposing specific action plans have become a global concern. Through the analysis of international situations and China’s national strategies, and the application of Integrated Assessment Modeling Consortium (IAMC), this paper explores China’s pathways to carbon peaking and neutrality, and puts forward recommendations for high-quality development featuring low emissions.
In silico High-Throughput Screening of ZINC Database of Natural Compounds to Identify Novel Histone Deacetylase Inhibitors
Authors: Olawale Femi , Iwaloye Opeyemi , Folorunso Ibukun Mary , Shityakov Sergey
Published: September 2022

Histone deacetylase 8 (HDAC8) is a zinc-binding metalloprotein being involved in transcriptional regulation, cell cycle progression and cellular development. Its overexpression is associated with various pathologies, including childhood neuroblastoma, leukemia, tumor progression and lung cancer. The FDA-approved HDAC inhibitors are not very safe due to various side effects. Therefore, we implemented an in silico high-throughput screening to identify novel HDAC8 inhibitors from the natural compounds database ([Formula: see text]) using computational methods. As a result, some drug-like substances ([Formula: see text]) with nontoxic profiles were identified as hit compounds after using molecular docking, including quantum polarized ligand and induced-fit docking approaches. One hit compound (ZINC02106564) was determined to be highly chemically reactive by using the DFT calculation. Finally, the top binder (ZINC12601598) to HDAC8 together with the reference inhibitor, was studied by 100[Formula: see text]ns molecular dynamics simulations, confirming previously obtained data. Overall, the proposed computational protocol might be prospective at the early stage of rational design for novel and less toxic HDAC8 inhibitors for the treatment of diverse diseases.
BuDb: A Curated Drug Discovery Database for Buruli Ulcer
Authors: kwofie Samuel K. , Anyimadu Daniel Tweneboah , Aryee Solomon , Asare Blessing , Kokroko Natalie , Owusu Jeffrey A. , Afutu Baron , Agyapong Odame , Mosi Lydia , Kyei-Baffour Edwin , Enninful Kweku S. , Agoni Clement , Wilson Michael D.
Published: September 2022

Buruli ulcer (BU), a severe skin disease is caused by Mycobacterium ulcerans. There are concerns of therapeutic inefficacy of existing drugs coupled with chemoresistance. Databases have been shown to augment data mining and integrative systems pharmacology approaches towards the search for novel therapeutic moieties. So far, there is no known integrated database solely dedicated to BU drug discovery. In this work, Buruli ulcer database (BuDb) is a “one-stop-shop” knowledgebase for supporting BU drug discovery. It contains both manually verified literature and database-curated data on BU. The BuDb provides comprehensive information on the various drug targets, tested compounds, existing drugs, ethnopharmacological plants and information on the genome of M. ulcerans. It also contains cross-referenced links to databases including PubMed, PubChem, DrugBank, NCBI, Gene Ontology (GO), UniProt, Prota4u, String database, KEGG Pathway and KEGG genome database. The BuDb has been implemented with accessibility features such as keyword and specific searches as well as browsing. BuDb is the first useful online repository of its kind integrated with enriched datasets that can aid in the discovery of new biotherapeutic entities for BU. BuDb can be freely accessed at http://197.255.126.13:3000/ .
Efficient Test Chip Design via Smart Computation
Authors: Fang Chenlei , Huang Qicheng , Liu Zeye , Ding Ruizhou , Blanton Ronald D.
Published: September 2022

Submitted to the Special Issue on Machine Learning for CAD (ML-CAD).
Competitive strength in semiconductor field depends on yield. The challenges associated with designing and manufacturing of leading-edge integrated circuits (ICs) have increased that reduce yield. Test chips, especially full-flow logic test chips, are increasingly employed to investigate the complex interaction between layout features and the process that improves the total process quality before and during initial mass production. However, designing a high-quality full-flow logic test chip can be time-consuming due to the huge design space and complex process to search for optimal result. This work describes a new design flow that significantly accelerates the logic test chip design process. First, we deploy random forest classification technique to predict potential synthesis outcome for test chip design exploration. Next, a new method is described to efficiently solve the integer programming problem involved in the design process. Various experiments with industrial design have demonstrated that the proposed two methods greatly improve the design efficiency.
Hardware-accelerated Real-time Drift-awareness for Robust Deep Learning on Wireless RF Data
Authors: Ganewattha Chanaka , Khan Zaheer , Lehtomäki Janne , Latva-Aho Matti
Published: September 2022

Proactive and intelligent management of network resource utilization (RU) using deep learning (DL) can significantly improve the efficiency and performance of the next generation of wireless networks. However, variations in wireless RU are often affected by uncertain events and change points due to the deviations of real data distribution from that of the original training data. Such deviations, which are known as dataset drifts, can subsequently lead to a shift in the corresponding decision boundary degrading the DL model prediction performance. To address these challenges, we present hardware-accelerated real-time radio frequency (RF) analytics and drift-awareness modules for robust DL predictions. We have prototyped the proposed design on a Zynq-7000 System-on-Chip that contains an FPGA and an embedded ARM processor. We have used Xilinx Vivado design suite for synthesis and analysis of the HDL design for the proposed solution. To detect dataset drifts, the proposed solution adopts a distance-based technique on FPGA to quantify in real-time the change between the prediction distribution obtained from DL predictions and data distribution of input streaming samples. Using various performance metrics, we have extensively evaluated the performance of the proposed solution and shown that it can significantly improve the DL model robustness in the presence of dataset drifts.
Amorphous HKUST-1 Nanoparticles and Their Modification for Highly Sensitive Dengue Virus Immunosensor
Authors: Dewi Kariana Kusuma , Septiani Ni Luh Wulan , Nugraha N , Natalia Dessy , Yuliarto Brian
Published: September 2022

In this work, the amorphous HKUST-1 nanoparticles (aHKUST1) and copper hydroxide nanosheet (Cu(OH)2 NS) were successfully prepared by involving diethanolamine (DEOA) and were applied as an immunosensor to detect dengue virus (DENV-3) NS1. 35 wt% of DEOA was found to not only provide a base environment but also act as a crystal modifier for the HKUST-1. The DEOA changes the crystallinity and morphology of HKUST-1 into amorphous and highly uniform nanoparticles, respectively. In addition, the Cu(OH)2 NS was obtained by immersing the aHKUST1 NPs in water for 6 h. The aHKUST1 NPs and Cu(OH)2 NS were functionalized as a matrix material to immobilize the DENV-3 monoclonal antibody. The immunosensor was fabricated by dropping the matrix on the surface of a screen-printed carbon electrode (SPCE). The immunosensor performances were evaluated by cyclic voltammetry (CV), differential pulse voltammetry (DPV), and electrochemical impedance spectroscopy (EIS) technique in detecting DENV-3 NS1 antigen at the concentration in the range of 0.001–100 ng ml−1. As immunosensor aHKUST1 NPs and Cu(OH)2 NS can detect the antigen down to 1.64 pg ml−1 and 2.07 pg ml−1, respectively. The amorphous nature of HKUST-1 is believed to provide many active sites that can enhance electrocatalytic activities thereby improving immunosensor performance.
Tiny changes in cytoplasmic [Ca2+] cause large changes in mitochondrial Ca2+: what are the triggers and functional implications?
Authors: Seng Crystal , Pearce Luke , Meizoso-Huesca Aldo , Singh Daniel P. , Murphy Robyn M. , Lamboley Cedric R. , Launikonis Bradley S.
Published: September 2022

Ca2+ is an integral component of the functional and developmental regulation of the mitochondria. In skeletal muscle, Ca2+ is reported to modulate the rate of ATP resynthesis, regulate the expression of peroxisome proliferator-activated receptor-gamma coactivator 1 (PGC1α) following exercise, and drive the generation of reactive oxygen species (ROS). Due to the latter, mitochondrial Ca2+ overload is recognized as a pathophysiological event but the former events represent important physiological functions in need of tight regulation. Recently, we described the relationship between [Ca2+]mito and resting [Ca2+]cyto and other mitochondrial Ca2+-handling properties of skeletal muscle. An important next step is to understand the triggers for Ca2+ redistribution between intracellular compartments, which determine the mitochondrial Ca2+ load. These triggers in both physiological and pathophysiological scenarios can be traced to the coupled activity of the ryanodine receptor 1 (RyR1) and store-operated Ca2+ entry (SOCE) in the resting muscle. In this piece, we will discuss some issues regarding Ca2+ measurements relevant to mitochondrial Ca2+-handling, the steady-state relationship between cytoplasmic and mitochondrial Ca2+, and the potential implications for Ca2+ handling by muscle mitochondria and cellular function.
Deciphering impact of single nucleotide polymorphisms on cotranscriptional modification in CCM gene mRNAs
Authors: Scimone Concetta , Donato Luigi , Alibrandi Simona , Alafaci Concetta , D’Ascola Angela , Vinci Sergio , D’Angelo Rosalia , Sidoti Antonina
Published: September 2022

Novel insights on regulation of gene expression mechanisms highlight the pivotal role of epitranscriptomic modifications on decision about transcript fate. These modifications include methylation of adenosine and cytosine in RNA molecules. Impairment of the normal epitranscriptome profile was observed in several pathological conditions, such as cancer and neurodegeneration. However, it is still unknown if alteration of this regulatory mechanism can be involved in cerebral cavernous malformation (CCM) development. CCM is a rare genetic condition affecting brain microvasculature, resulting from mutations in the three genes KRIT1, CCM2, and PDCD10. By data integration of association study, in silico prediction, and gene expression analysis, we evaluated role of single nucleotide polymorphisms (SNPs) highly recurrent in patients with CCM, on CCM gene expression regulation. Results showed that several of these SNPs lead to a drastic downexpression, in KRIT1 and CCM2 genes and this downregulation can be due to alteration of epitranscriptome profile, occurring these SNPs in gene regions that are subject to epitranscriptome modifications. These data suggest that this novel mechanism of gene expression regulation can be consider to further investigation on CCM pathogenesis.
Altered skeletal muscle sarco-endoplasmic reticulum Ca2+-ATPase calcium transport efficiency after a thermogenic stimulus
Authors: Heemstra Lydia A. , Koch Lauren G. , Britton Steven L. , Novak Colleen M.
Published: September 2022

Exposure to predator threat induces a rapid and robust increase in skeletal muscle thermogenesis in rats. The central nervous system relays threat information to skeletal muscle through activation of the sympathetic nervous system, but muscle mechanisms mediating this thermogenesis remain unidentified. Given the relevance of sarcolipin-mediated futile calcium cycling through the sarco-endoplasmic reticulum Ca2+-ATPase (SERCA) pump to mammalian muscle nonshivering thermogenesis, we hypothesized that this plays a role in contextually induced muscle thermogenesis as well. This was assessed by measuring enzymatic activity of SERCA and sarcoplasmic reticulum Ca2+ transport, where the apparent coupling ratio (Ca2+ uptake rate divided by ATPase activity rate at a standard Ca2+ concentration) was predicted to decrease in association with muscle thermogenesis. Sprague–Dawley rats exposed to predator (ferret) odor (PO) showed a rapid decrease in the apparent coupling ratio in the soleus muscle, indicating SERCA uncoupling compared with control-odor-exposed rats. A rat model of high aerobic fitness and elevated muscle thermogenesis also demonstrated soleus muscle SERCA uncoupling relative to their obesity-prone, low-fitness counterparts. Both the high- and low-aerobic fitness rats showed soleus SERCA uncoupling with exposure to PO. Finally, no increase in sarcolipin expression in soleus muscle was detected with PO exposure. This dataset implicates muscle uncoupling of SERCA Ca2+ transport and ATP hydrolysis, likely through altered SERCA or sarcolipin function outside of translational regulation, as one contributor to the muscle thermogenesis provoked by exposure to predator threat. These data support the involvement of SERCA uncoupling in both muscle thermogenic induction and enhanced aerobic capacity.
Integrating Mental Health Education into French Teaching in University Based on Artificial Intelligence Technology
Authors: Zhao Jingli
Published: September 2022

In recent years, there has been a lot of news about college students committing suicide. In the university stage students, self‐esteem is stronger and more sensitive, and the ability to withstand pressure is weak. At the same time, college students are in a key stage of mental health development. School education to a certain extent for the cultivation of students’ mental health has a crucial impact. In our country, it is undoubtedly the main way to infiltrate mental health education through subject knowledge teaching. French teaching is a good way to infiltrate mental health education. In the learning practice, the improvement of students’ mental health levels can strengthen their interest in French learning. Based on this, this paper, from the perspective of French teaching, carries out the infiltration of mental health education in French teaching classes in universities and promotes the cultivation of students’ learning abilities and the development of mental health. This paper mainly studies the feature extraction of mental health data, tries to use the optimized BP (backpropagation) neural network to infiltrate the mental health model of college students, and describes the differences in mental health among students. Finally, the results are applied to French teaching in universities, and a good teaching effect is achieved. Finally, the experimental results show that the infiltration strategy proposed in this study is feasible and effective.
On Subclasses of Recognizable ωω−Partial Array Languages
Authors: Muhiuddin G. , Janaki K. , Al-Kadi D. , Arulprakasam R. , Govindan V.
Published: September 2022

In this paper, the concepts of infinite partial array languages (ωω−partial array languages) and the classes of ωω−partial array languages, namely, local ωω−partial array languages, Buchi local ωω−partial array languages, and Muller local ωω−partial array languages are defined, and their related properties are studied. Furthermore, we introduce nondeterministic finite online tessellation h‐automata on ωω−partial array languages. In addition, we prove that the class of all adherences of finite local partial array languages is equal to the class of all local ωω−partial array languages and also prove that every ωω−regular partial array language is a projection of Buchi local ωω−partial array language.
Knockdown of LMX1B Suppressed Cell Apoptosis and Inflammatory Response in IL-1β-Induced Human Osteoarthritis Chondrocytes through NF-κB and NLRP3 Signal Pathway
Authors: Mu Yiping , Wang Lining , Fu Ling , Li Qi
Published: September 2022

Osteoarthritis (OA), a chronic degenerative joint disease, always occurred in the aging population. There is evidence suggests that chondrocytes’ survival, inflammation, and apoptosis play critical roles in OA pathogenesis. LMX1B has been shown to be involved in antiosteogenic function in early patterning of the calvaria. However, the role and mechanism of LMX1B in OA is not unknown. The present study observed that LMX1B was highly expressed in OA patients compared with normal patients. Besides, we found that IL-1β increased LMX1B mRNA and protein expression in SW1353 and C28/I2 chondrocytes. LMX1B knockdown increased IL-1β-induced cell viability and proliferation and suppressed cell apoptosis and inflammation response, including IFN-γ, TNF-α, IL-6, prostaglandin E2 (PGE2), and NO both in SW1353 and C28/I2. Furthermore, LMX1B silence inhibited MMP-3 and MMP-13 expression both in SW1353 and C28/I2 cells. Also, the activation of the NF-κB and NLRP3 signaling pathway was suppressed in LMX1B silence cells by decreasing the p-p65 and NLRP3 protein expressions. Additionally, inhibition of NF-κB by PDTC suppressed NLRP3 expression. Moreover, NLRP3 overexpression reversed the effects of LMX1B silence on chondrocytes’ survival, proliferation, apoptosis, and inflammation. Finally, we confirmed that LMX1B depletion had protective effects in OA rats in vivo.
[Retracted] Grey Correlation Analysis of Low‐Carbon Governance in Yangtze River Delta Cities
Authors: Min Li
Published: September 2022

The excessive emission of carbon dioxide will bring unpredictable ecological crisis, so it is particularly urgent to study the related factors of carbon emissions. Based on the grey correlation model, 31 factors in 5 aspects are selected as the reference frame for low‐carbon governance, and the grey correlation degree of urban carbon emissions is calculated by using the IPCC method to calculate the annual carbon emissions of 9 major cities in the Yangtze River Delta from 2010 to 2019. Through the calculation and analysis of panel data, the following conclusions are drawn: The allocation of urban environmental practitioners is an important factor in carbon governance, and the reasonable and scientific allocation of environmental practitioners can have a significant impact on low‐carbon development; the relationship between the amount of industrial power consumption and carbon dioxide emissions is not significant. On the contrary, the power consumption of urban residents can well reflect the level of carbon emissions. High residential power consumption means that the living standard of the people in the region is high, and the corresponding resource and energy consumption is large, so the carbon emissions will increase; the size of population density is particularly important for carbon governance, which is more obvious in economically developed areas. Urban economic development will inevitably lead to the improvement of people’s quality of life, a stronger demand for resources, and a significant increase in carbon emissions.
The Impact of Tumor Infiltrating Lymphocytes Densities and Ki67 Index on Residual Breast Cancer Burden following Neoadjuvant Chemotherapy
Authors: Elmahs Aya , Mohamed Ghada , Salem Mostafa , Omar Dina , Helal Amany Mohamed , Soliman Nahed
Published: September 2022

To avoid unnecessary neoadjuvant chemotherapy in case anticipating a poor therapy response, it is essential to find the pathological parameters that would predict pathological complete response or at least a decrease in tumor burden following neoadjuvant chemotherapy. The purpose of this study is to investigate the hypothesis that tumor infiltrating lymphocytes can predict the efficacy of neoadjuvant chemotherapy and to find the Ki67 cutoff value that best predicts the benefit of chemotherapy. 153 cases of breast cancer were chosen, based on their molecular subtype: triple negative subtype (77) and luminal, HER2-ve subtype (76). Histopathological assessment of pretherapy core biopsies was conducted to assess variable pathological parameters including TILs rates with the aid of immunohistochemical staining for CD20 and CD3. Moreover, core biopsies were stained for Ki67, and the findings were compared to the residual cancer burden following neoadjuvant chemotherapy. On analyzing and contrasting the two groups, a significant association between molecular subtype and pathological complete response was confirmed, while tumor-infiltrating lymphocytes in either group had no effect on therapy response. We used receiver operating characteristic curve analysis to determine that a cutoff of 36% for Ki67 is the most accurate value to predict complete therapy response.
[Retracted] An Evaluation Model of Career Happiness and Job Performance of Political Teachers Based on Correlation Analysis in Positive Emotional Environment
Authors: Zheng Ming
Published: September 2022

In terms of the teaching profession, the term “teacher happiness” refers to a spiritual encounter one has while practising their profession. Teachers believe that they can fulfil their needs and recognise their worth through their work in education and teaching, which will ultimately lead to happiness. Happiness is a necessary condition for teachers to perform well in the classroom, a strong foundation for professional success, the inner motivation for teachers’ professional development, and the ultimate goal of education. In order to comprehend how the two affect one another, the purpose of this essay is to investigate the connection between political teachers’ career satisfaction and job performance. The findings indicated that three factors, namely, work commitment, human‐machine facilitation, and task performance, can also be used to categorise political teachers’ career satisfaction. The overall rating of job performance and the elements affecting teachers’ occupational well‐being are significantly correlated. The typical r‐correlation coefficient was 0.65. Political educators will perform better at work on a daily basis as a result of their improved occupational well‐being.
Analysis of Network Information Retrieval Method Based on Metadata Ontology
Authors: Wang Chunping , Chen Keming
Published: September 2022

In order to solve the problem that people can accurately search for the network information they need, the research on network information retrieval methods becomes more important. This article is mainly about the research of network information retrieval methods based on metadata ontology calculations. This article constructs an LDA three-layer Bayesian model with a three-layer structure of document, topic, and single order. The three-layer structure obeys a random polynomial distribution and can be calculated the joint distribution probability of all variables in the LDA model greatly increases the calculation efficiency. Using a cross-modal information retrieval method, it can mine the common data features between different modal data and analyze the semantic correlation between different modal data, improve the accuracy of search, and solve the existence of different modal data. There is a gap in the expression semantics between heterogeneous and different modal data. The experimental results in this paper show that the text feature extraction of the network information retrieval method based on the metadata ontology calculation has a good performance in terms of accuracy, and the accuracy of the extraction and clustering results is as high as about 90%. The improved CCA algorithm used is better than the traditional CCA and the accuracy is improved by 23%, which is 12% higher than the LDA-CCA algorithm.
Research on the Vibration Isolation Characteristics of Floor Vibration Isolation Slab System under Train Operation
Authors: Yao Jinbao , Wu Han , Tao Shaoyin
Published: September 2022

This study takes the vibration isolation measures of building floor vibrations induced by trains as the starting point and carries out both theoretical derivation and numerical simulation. A four‐degree‐of‐freedom (DOF) multi‐dimensional vibration isolation platform (VIP) dynamics model is established based on the theoretical research of single‐level, single‐degree‐of‐freedom vibration isolation systems. Under multi‐point excitation, the model can deduce the horizontal and vertical vibration responses of the VIP system. A comprehensive analysis of the vibration isolation performance of the VIP system on the floor and how the variation of the parameters influences the performance of the vibration isolation systems are presented. Several variables, such as the thickness, stiffness, damping ratio, and the number of isolators of the VIP system, are theoretically found to have a significant impact on the vibration isolation effect of the floor VIP system. Empirical results show that the VIP system significantly affects the vibration isolation of the building floor induced by a train and has the best vibration isolation effect on the acceleration response and the worst vibration isolation effect on the displacement response.
Fusarium oxysporum and Colletotrichum musae Associated with Wilt Disease of Coffea arabica in Coffee Gardens in Saudi Arabia
Authors: AL-Faifi Zarraq , Alsolami Wail , Abada Emad , Khemira Habib , Almalki Ghaliah , Modafer Yosra
Published: September 2022

This study aimed to identify if Fusarium and Colletotrichum species are linked to coffee leaf wilt symptoms (Coffea arabica L.) gardens in Jazan region, Kingdom Saudi Arabia. The symptomatic wilted leaves and shoots were collected from Jazan Mountain Region Development Authority (JMRDA) farm in jabal Fifa. Samples of roots and leaves tissues were plated on Dox’ Agar medium and incubated for one week at 24oC. Two morphologically different fungus colonies grew on the medium. A PCR-based method was used for the molecular amplification and characterization of the fungi using a 18SrRNA specific primer. 1323 and 1501 bp PCR products were obtained by using the 1% agarose gel electrophoresis. The sequence analysis and genbank homology revealed that the present fungi were Fusarium oxysporum and Colletotrichum musae with 99 and 98% similarity, respectively. Both fungi sequences were submitted to the genebank under accession numbers OP010081 and OP010082, respectively. This is the first report of these two genera of fungi infecting the roots and leaves of coffee trees in Jazan Region of Saudi Arabia and suggests that other fungus species may play a significant role as diseases in other coffee-producing areas.