bluuebunny/crossref_metadata_2025 huggingface dataset:
Modes and Mechanisms of Pacific Decadal-Scale Variability
Authors: Di Lorenzo E. , Xu T. , Zhao Y. , Newman M. , Capotondi A. , Stevenson S. , Amaya D.J. , Anderson B.T. , Ding R. , Furtado J.C. , Joh Y. , Liguori G. , Lou J. , Miller A.J. , Navarra G. , Schneider N. , Vimont D.J. , Wu S. , Zhang H.
Published: September 2022

The modes of Pacific decadal-scale variability (PDV), traditionally defined as statistical patterns of variance, reflect to first order the ocean's integration (i.e., reddening) of atmospheric forcing that arises from both a shift and a change in strength of the climatological (time-mean) atmospheric circulation. While these patterns concisely describe PDV, they do not distinguish among the key dynamical processes driving the evolution of PDV anomalies, including atmospheric and ocean teleconnections and coupled feedbacks with similar spatial structures that operate on different timescales. In this review, we synthesize past analysis using an empirical dynamical model constructed from monthly ocean surface anomalies drawn from several reanalysis products, showing that the PDV modes of variance result from two fundamental low-frequency dynamical eigenmodes: the North Pacific–central Pacific (NP-CP) and Kuroshio–Oyashio Extension (KOE) modes. Both eigenmodes highlight how two-way tropical–extratropical teleconnection dynamics are the primary mechanisms energizing and synchronizing the basin-scale footprint of PDV. While the NP-CP mode captures interannual- to decadal-scale variability, the KOE mode is linked to the basin-scale expression of PDV on decadal to multidecadal timescales, including contributions from the South Pacific.
COVID-19 and Kidney Disease
Authors: Brogan Maureen , Ross Michael J.
Published: September 2022

COVID-19 can cause acute kidney injury and may cause or exacerbate chronic kidney diseases, including glomerular diseases. SARS-CoV-2 infection of kidney cells has been reported, but it remains unclear if viral infection of kidney cells causes disease. The most important causes of kidney injury in patients with COVID-19 include impaired renal perfusion and immune dysregulation. Chronic kidney disease, especially kidney failure with kidney replacement therapy and kidney transplant, is associated with markedly increased COVID-19 mortality. Persons with severe kidney disease have been excluded from most clinical trials of COVID-19 therapies, so therapeutic approaches must be extrapolated from studies of patients without kidney disease. Some medications used to treat COVID-19 should be avoided or used at reduced dosages in patients with severe kidney disease and in kidney transplant recipients. Additional research is needed to determine the optimal strategies to prevent and treat COVID-19 in patients with kidney disease.
Cellular and Molecular Determinants of Retinal Cell Fate
Authors: Petridou Eleni , Godinho Leanne
Published: September 2022

The vertebrate retina is regarded as a simple part of the central nervous system (CNS) and thus amenable to investigations of the determinants of cell fate. Its five neuronal cell classes and one glial cell class all derive from a common pool of progenitors. Here we review how each cell class is generated. Retinal progenitors progress through different competence states, in each of which they generate only a small repertoire of cell classes. The intrinsic state of the progenitor is determined by the complement of transcription factors it expresses. Thus, although progenitors are multipotent, there is a bias in the types of fates they generate during any particular time window. Overlying these competence states are stochastic mechanisms that influence fate decisions. These mechanisms are determined by a weighted set of probabilities based on the abundance of a cell class in the retina. Deterministic mechanisms also operate, especially late in development, when preprogrammed progenitors solely generate specific fates.
Physiology faculty and student contributions to schoolteacher training in neuroscience: innovations during the COVID-19 pandemic
Authors: Tadielo Ana Luiza Trombini , Sosa Priscila Marques , Mello-Carpes Pâmela Billig
Published: September 2022

This study reports the experience of developing the ninth edition of the Neuroscience Applied to Education course in an online format that included synchronous and asynchronous activities. Here we show that schoolteachers consider the course important for acquiring new knowledge about neuroscience and the applicability of the concepts covered to improve their pedagogical practice and teaching environment. The online format did not prejudice the experience, and the technologies used were well evaluated.
Impact of bedding on Dahl salt-sensitive hypertension and renal damage
Authors: Dasinger John Henry , Walton Samuel D. , Burns Emily C. , Cherian-Shaw Mary , Abais-Battad Justine M. , Mattson David L.
Published: September 2022

Results from our present study demonstrate the profound effect of animal bedding on the severity of salt-sensitive hypertension, renal damage, and inflammation in Dahl salt-sensitive rats. This study highlights the important consideration that should be given to environmental factors, namely, the type of bedding in animal facilities, in experimental design and data interpretation.
Influences on glycocalyx shedding during the Yukon Arctic Ultra: the longest and the coldest ultramarathon
Authors: Steinach Mathias , Biere Katharina , Coker Robert H. , Gaul Anna Leonie , Hoerl Marion , Jörres Marc , Kienast Camilla , Mascarell-Maricic Lea , Schalt Adriane , Gunga Hanns-Christian , Choukér Alexander , Rehm Markus
Published: September 2022

This is the first study to investigate changes in glycocalyx elements in an endurance footrace and first study to investigate exercise-induced shedding in both sexes. This study comprised of an athlete group who finished the ultra-long distance of up to 690 km during the Yukon Arctic Ultra as well as a control group. Results indicate relevant and different shedding of glycocalyx elements heparan sulfate, hyaluronan, and syndecan CD-138. Sex, age, BMI, and covered distance appear to have an influence on the shedding. Other serum parameters indicative of stress appear to be associated with shedding.
The Association of Sperm DNA Fragment and Assisted Reproductive Outcomes: A Meta-Analysis
Authors: Chen Yue , Li Wei , Chen Xin
Published: September 2022

Objective. To analyze the effect of sperm DNA fragmentation index (DFI) on the outcomes of in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI). Methods. Literature search was conducted on English databases PubMed, Cochrane, and Embase to obtain eligible studies. Results. A total of 11 cohort studies were included and analyzed using the random effects model. The results illustrated that the IVF fertilization rate (

RR
=
0.94

, 95% CI: 0.77-1.14,

P
=
0.61

), pregnancy rate (

RR
=
0.83

, 95% CI: 0.57-1.21,

P
=
0.32

), and live birth rate (

RR
=
0.53

, 95% CI: 0.16-1.80,

P
=
0.31

) in the high DFI group were statistically insignificant with those in the low FI group. The correlations between DFI and ICSI fertilization rate (

RR
=
0.79

, 95% CI: 0.52-1.18,

P
=
0.25

), pregnancy rate (

RR
=
0.89

, 95% CI: 0.74-1.06,

P
=
0.18

), and live birth rate (

RR
=
0.89

, 95% CI: 0.70-1.14,

P
=
0.36

) were also not statistically significant. Conclusion. This study has observed no significant correlation between sperm DFI and assisted reproductive outcomes. Multicenter large-sample clinical trials are required to conclusively determine the impact of DNA damage on the clinical outcomes of assisted reproduction.
[Retracted] Nursing Effect of Health Monitoring System on Elderly Patients with Osteoporosis
Authors: Fang Zhilan , Ouyang Shiyan
Published: September 2022

Health monitoring can provide scientific and reasonable care for elderly users, professionally monitor the health parameters of the human body, and timely understand the user’s own physical condition. By installing sensors with different functions in the rooms where the elderly often move and by installing vital signs sensors on their bodies, the data detected by the sensors are collected and analyzed in real time. Nursing refers to the fact that nursing staff must strictly follow the nursing system and operating procedures in the nursing work, accurately implement the doctor’s orders, implement the nursing plan, and ensure that the patient is physically and mentally safe during treatment and recovery. Osteoporosis is a systemic bone disease in which bone density and bone quality are decreased due to various reasons, and the microstructure of bone is destroyed, resulting in increased bone fragility, which is prone to fractures. Osteoporosis is divided into two main categories: primary and secondary. Primary osteoporosis is divided into postmenopausal osteoporosis (Type I), senile osteoporosis (Type II), and idiopathic osteoporosis (including adolescent forms). This paper aims to study the healthcare effect of health monitoring system on elderly patients with osteoporosis, expecting to use the health monitoring system to provide more scientific care for the elderly and reduce the pain caused by osteoporosis. This paper proposes a study from the users of the elderly health monitoring products and the elderly home health products and analyzes the influencing factors of the usability design of the elderly home health monitoring system. This paper designs the overall framework of the elderly health monitoring system and designs the main components and application functions of the system. The experimental results in this paper show that there are 20 patients with osteoporosis due to lack of light, accounting for 16%. There are 10 patients with osteoporosis due to excessive coffee intake, accounting for 8%. There are 90 people who normally eat eggs, accounting for 75%, and 66 people who eat meat normally, accounting for 55%. According to the data, the health monitoring system can effectively control the diet of patients with osteoporosis.
[Retracted] Role of Platelet‐Rich Plasma Gel in Promoting Wound Healing Based on Medical Images of Wounds
Authors: He Zhiyu , Liu Anming , Yu Jiaxi , Chen Xiaojun
Published: September 2022

A wound is the pathological change of soft tissue under normal skin caused by various factors, such as collision, contusion, hot crush, avulsion, corrosive chemicals, operations, excessive wound tension after operations, local pressure that cannot be relieved for a long time, liquid immersion, local infection, and rejection reactions caused by allogeneic substances. The skin itself or its underlying soft tissue loses its integrity and continuity, thus losing its normal physiological function. Medical image analysis is a medical term that refers to the interdisciplinary fields of integrated medical imaging, artificial intelligence, digital image processing and analysis, mathematical modeling, and numerical algorithms. According to the time of wound formation, they can be divided into acute and chronic wounds. The common acute wounds include lacerations caused by trauma, surgical incisions, burns, and donor sites formed after skin graft operations. This article mainly studies the role of platelet‐rich plasma gel nanocomposites in promoting wound healing. It is proven that ptt‐rich plasma gel can significantly promote tissue repair and regeneration and accelerate wound healing in patients with severe burns. The atomic number of the nanocomposite has a better treatment effect on the nanoparticle approach. In this paper, chitosan nanocomposite membrane, nanocomposite algorithm, and the calculation method of enthalpy of formation of high alloy nanomaterials were used to study the role of ptt‐rich plasma gel combined chitosan nanocomposite membrane loaded bone marrow stromal cells in promoting wound healing, and its effects were applied to the repair of special site burns, special burns, and different age burns. Good wound repair benefits from the correct treatment of the wound, which directly affects the stability and development of the internal environment. The difference in healing time between the two groups was statistically significant, and the recovery time of the PRP group was 0.001 less than that of the control group. The results showed that the wound healing time of the PRP group was significantly shorter than that of the control group (P < 0.05); after treatment, the content of VEGF in the wound tissue of the two groups increased, especially in the PRP group; the effective rate of the PRP group was 75.0%, which was higher than 68.8% of the control group. It can play an important role in the regulation of expression and the pathophysiological process of wound healing.
MDH1 and MDH2 Promote Cell Viability of Primary AT2 Cells by Increasing Glucose Uptake
Authors: Hu Mu , Yang JieLai , Xu Yang , Liu Jiao
Published: September 2022

Background. Acute lung injury (ALI) is a clinical disease with high morbidity and mortality, with limited treatment means. For primary alveolar epithelial type II (AT2) cells, glycolysis is an essential bioenergetic process. However, the significance of AT2 cell glycolysis in sepsis ALI remains unknown. Methods and Results. In the current study, based on microarray analysis, real-time quantitative PCR, and Western blotting, we found that the hsa00020: citrate cycle pathway was inactivated, specifically its downstream gene: malate dehydrogenase 1 (MDH1) and MDH2 in ALI. In this context, lipopolysaccharides (LPS) were used to construct the septic-ALI mouse model and the biological function of MDH1 and MDH2 in primary alveolar epithelial type II (AT2) cells was explored. Through CCK-8, EdU, transwell, and apoptosis assays, we found that MDH1 and MDH2 promoted the cell vitality of AT2 cells, which relied on MDH1 and MDH2 to promote the glucose intake of AT2 cells. Conclusion. Overall, these findings suggest that targeting MDH1/MDH2-mediated AT2 cell glycolysis may be a potential strategy for ALI patients.
Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument
Authors: Lia Biwen , Huang Jingjing , Wang Donglun
Published: September 2022

In recent years, robust performance of the system has been broadly studied as a trending topic among a vast array of scholars. This paper discusses the robustness of control laws for complex dynamic networks (CDNs) with a deviation argument. We design two categories of control laws (linear control law and nonlinear control law) for the undisturbed CDNs to achieve exponential synchronization. It is intractable to ascertain the range of the deviation function exactly. Hence, some corresponding sufficient criteria are put forward to ensure exponential synchronization of CDNs with deviation argument when control laws are not changed. By adopting the Gronwall–Bellman lemma and solving the transcendental equation, we can obtain the admissible upper limits of the deviating function, to keep the corresponding control laws. In comparison with previous research findings, robustness, deviating argument, and control laws are all considered in this study, which enhances the previous findings. Finally, two emulation examples verify the validity of the analysis.
Construction of School-Enterprise Cooperation Practice Teaching System under the Big Data Internet of Things Industry Collaborative Innovation Platform
Authors: Li Daowang
Published: September 2022

The school-enterprise cooperation practice teaching system has increasingly become the core of the field of education research on the basis of the Internet and mobile communications. Based on the big data IoT theory and relying on the industrial collaborative innovation platform, this study designs and implements a general service platform for school-enterprise cooperation practice teaching for IoT applications. The platform is divided into two parts: the IoT data transmission part and the Web practice teaching service section. On the Internet of Things big data transmission platform, after the big data processing provided by the intelligent industry collaborative innovation end is completed, it disguises as a web practical teaching service platform built by the Internet of things framework based on B/S architecture. It solves the problem of data transmission on the order of millions. During the simulation process, the platform realizes flexible deployment and automatic integration of online upgrades. The code management script module based on scripts such as SQL, Python, and shell can complete the online platform. The automatic upgrade finally achieves the goals of the platform being easy to maintain, simple to deploy, and flexible in business logic. The experimental results show that starting from the actual situation of a digital intelligent collaborative innovation platform in a university, the practical teaching system designed and implemented adopts the object-oriented development method, and has a three-tier architecture of the collaborative innovation platform. In addition, the functional modularization and standardization reach 88.7% and 79.4%, respectively, effectively improving the performance of the practical teaching system.
Verification of the Improvement Effect of Artificial Intelligence Computer Control Technology on Electrical Automation Control
Authors: Li Jinpeng
Published: September 2022

In order to improve the effect of electrical automation control, this paper combines the intelligent computer technology to construct the electrical automation control system, explores the principle of the active disturbance rejection controller, and applies it to the induction motor vector control system. The active disturbance rejection controller estimates the state variables of the system and their changing trends in real time through the extended state observer, compensates them by nonlinear feedback method, and provides appropriate control signals. In addition, this paper builds the induction motor active disturbance rejection control system based on ant colony algorithm and conducts a lot of simulation analysis. The research shows that the electrical automatic control system based on the intelligent computer algorithm proposed in this paper has a good electrical automatic control effect.
Effects of Peripherally Inserted Central Catheter (PICC) Catheterization Nursing on Bloodstream Infection in Peripheral Central Venous Catheters in Lung Cancer: A Single-Center, Retrospective Study
Authors: Hu Qiu , Su YanHong , Yan Li
Published: September 2022

Background. Peripherally inserted central catheter (PICC), as one of the important intravenous routes for the rescue and treatment of critically ill patients, has been widely used in the fluid resuscitation of critically ill patients in intensive care. In particular, PICC can be widely used in the treatment of cancer patients. With the wide application of peripheral central venous catheterization, the clinical findings of bloodstream infection complications caused by PICC have gradually attracted the attention of doctors and patients. Aims. To investigate the effect of specialized placement and PICC placement care on patients with lung cancer who underwent PICC puncture. Patients were selected and divided into a comparison group and an observation group of 40 patients each according to the randomized residual grouping method. In the comparison group, routine PICC placement and catheter maintenance were performed, while the observation group was provided with specialized placement and PICC placement care. The differences in immune and tumor marker levels and nursing compliance between the two groups were observed and compared before and after nursing care. Results. There was no significant difference in the comparison of tumor marker levels between the two groups of patients before care, while the levels of CYFRA21-1, CA125, and VGEF in the observation group were significantly lower than those in the comparison group after care, and this difference was statistically significant (

P
<
0.05

). There was no statistically significant difference in the comparison of immune levels between the two groups before care (

P
>
0.05

), while the comparison of CD4+, CD3+, and CD4+/CD8+ after care was significantly different and higher in the observation group than in the comparison group, and the comparison was statistically significant (

P
<
0.05

). The compliance rate of 93.8% in the observation group was significantly higher than that of 77.9% in the comparison group, and this difference was statistically significant for comparison (

P
<
0.05

). Conclusion. PICC placement care is more effective in patients with lung cancer and performing PICC puncture, significantly improves patients’ immune and tumor marker levels, improves patients’ negative emotions, reduces disease uncertainty, and improves nursing compliance.
Infection Control-Based Construction of a Fever Outpatient Routine Management Model
Authors: Wang Jingsong , Tao Zhen , Zhang Kai , Wang Shuai
Published: September 2022

Purpose. Outbreaks caused by infectious diseases are now serious public health events. At present, most hospitals have a high number of fever clinic attendances. In order to improve the efficiency of fever clinic screening, timely detection and control of infection sources, early detection, early isolation, and early treatment, our hospital explored the construction and effect of our fever clinic management model during the response period by constructing a fever clinic regular management model based on the principles of infection control. Methods. 1300 cases (September 2021 to February 2022) with or without epidemiological history were divided into the control group (without epidemiological history) and the observation group (with epidemiological history) and patients were given differentiated management. A model of permanent management of a fever clinic during the epidemic was set up and evaluated by implementing the person responsible for epidemic positions, optimizing tertiary care, and strengthening nosocomial infection protection for health care workers. Results. The results showed that patients in the observation group had a lower age of onset, a longer consultation time, and a higher proportion of patients with fever, which was different from the control group (

P
<
0.05

). Compared with the control group, the proportion of routine blood tests, the proportion of four respiratory virus tests, and the per capita cost were higher in the observation group, and the differences were statistically significant (

P
<
0.05

). There were no missed diagnoses, underreporting, cross-infections, or nosocomial infections in either group, and there were no significant differences between the two groups in terms of patients’ evaluation of management quality and satisfaction with management (

P
>
0.05

). The skill level, management attitude, and standardized operation of outpatient clinic managers improved after the construction of a fever clinic standing management model based on infection control, and the recognition of patients was higher in the observation group (

P
<
0.05

). Conclusion. The construction of a fever outpatient routine management model based on the principle of infection control is conducive to the standardized implementation of the management and treatment of health care workers, early detection of the source of transmission to cut off the transmission route, avoiding cross-infection and nosocomial infection, and ensuring the safety of patients and health care workers.
CircKMT2E Participates in Osteoarthritis through Promotes Apoptosis of Chondrocytes Via Sponging miR-140-5p to Activate TLR4
Authors: He Yong , Zhou Fubo , Cheng Xianqiang
Published: September 2022

Objective. To explore the latent pathogenesis of circRNAs in osteoarthritis (OA), as well as their function mechanism. Methods. The murine chondrocytes with and without OA were involved and used for in-depth sequencing. Herein, we carried out subsequent bioinformatics analysis to disclose the expression pattern, characteristics of circRNAs based on gene ontology, and the KEGG pathway analyses. Then sequencing data were used to deduce the interaction between circRNA and miRNA. The potential miRNA response elements for the annotated circRNAs and relevant target genes were forecasted on the basis of TargetScan and miRanda. For chondrocytes, the effect of the overexpression of the screened circRNA for apoptosis was spotted by flow cytometry as well as Western Blot. Results. 466 diverse circRNAs in the 23,787 spotted circRNAs were both significantly and differentially transcribed. CircKMT2E was upregulated more than two folds in chondrocytes with OA compared with normal tissues, exhibiting an expression trend opposite to miR-140-5p. We disclosed that circKMT2E could possess mutual effect with miR-140-5p by way of AGO proteins. Thus, circKMT2E was verified to have functioned as a molecular sponge targeting miR-140-5p. Therefore, circKMT2E may be at work in the pathogenesis of OA. Further, the sponge connection between circKMT2E and miR-140-5p was proved on the basis of a dual-luciferase reporter assay. Besides, miR-140-5p was speculated can bind TLR4 by bioinformatics analysis. Further PCR analysis found the relative expression level of TLR4, caspase-3, and Bax in the OA groups presented significant upregulation. Overexpression of circKMT2E can promote apoptosis of chondrocytes. Conclusion. The upregulation of circKMT2E is involved in the chondrocyte apoptosis of the pathogenesis of OA through activation of TLR4 by the sponge function of miR-140-5p.
Research and Analysis of Out-of-Tolerance Problem in Mold Processing Based on Intelligence
Authors: Wang Juxian
Published: September 2022

Out-of-tolerance is one of the most common problems in mold processing. For the out-of-tolerance problem in mold processing, the cold stamping die for motorcycle fuel tank shell is taken as the research object to solve the problem of out-of-tolerance, that is, easy to occur in the process of mold forming. Based on knowledge engineering, case-based reasoning (CBR) and numerical simulation are combined to study the intelligent design method of stamping die. The factors of overtolerance in stamping die processing are analyzed, and combined with the stamping process, the intelligent design system framework of cold stamping die for fuel tank shells is constructed. Numerical simulation of the double-cover forming (DCF) process of the fuel tank shell shows that sidewall wrinkling and local cracking are the main defects. Through the analysis of orthogonal table data and evaluation indicators, the optimal parameter scheme is F = 250 kN and H = 5 mm. At this time, the interaction effect (K2 = 0.738) of the two is the largest. Through test verification, the distribution trend of the simulated thickness is consistent with the experimental thickness, and the deviation range is within 10%. According to the numerical simulation results, the reasoning mechanism of an intelligent design system including instance and rule knowledge is designed, and an uncertain knowledge reasoning algorithm based on the reliability factor is proposed to improve the accuracy of mold size and reduce the overtolerance of the mold.
The Fractional Series Solutions for the Conformable Time‐Fractional Swift‐Hohenberg Equation through the Conformable Shehu Daftardar‐Jafari Approach with Comparative Analysis
Authors: Liaqat Muhammad Imran , Okyere Eric
Published: September 2022

The major objective of this study is to derive fractional series solutions of the time‐fractional Swift‐Hohenberg equations (TFSHEs) in the sense of conformable derivative using the conformable Shehu transform (CST) and the Daftardar‐Jafari approach (DJA). We call it the conformable Shehu Daftardar‐Jafari approach (CSDJA). One of the universal equations used in the description of pattern formation in spatially extended dissipative systems is the Swift‐Hohenberg equation. To assess the effectiveness and consistency of the suggested approach, the numerical results are compared with those obtained by the Elzaki decomposition method (EDM) in the sense of relative and absolute error functions, proving that the CSDJA is an effective substitute for techniques that use He’s or Adomian polynomials to solve TFSHEs. The transition from the imprecise solution to the precise solution at various values of fractional‐order derivatives is shown using the recurrence error function. Furthermore, the exact and approximative solutions are compared using 2D and 3D graphics and also numerically in the form of relative and absolute error functions. The results show that the procedure is quick, precise, and easy to implement, and it yields outstanding results. The recommended approach’s strength, which gives it an advantage over the Adomian decomposition and homotopy perturbation methods, is its algorithm for dealing with nonlinear problems without the use of Adomian polynomials or He’s polynomials. The advantage of this method is that it does not make any assumptions about physical parameters. As a result, it can be used to solve both weakly and strongly nonlinear problems and circumvent some of the drawbacks of perturbation techniques.
Orthogonality Property of the Discreteq-Hermite Matrix Polynomials
Authors: Salem Ahmed , Alzahrani Faris , El-Shahed Moustafa
Published: September 2022

In this paper, we prove that the solution of the autonomousq-difference systemDqYx=AYqxwith the initial conditionY0=Y0where

A

is a constant square complex matrix,Dqis the Jacksonq-derivative and0<q<1, is asymptotically stable if and only ifℜλ<0for allλ∈σAwhereσAis the set of all eigenvalues ofA(the spectrum ofA). This results are exploited to provide the orthogonality property of the discreteq-Hermite matrix polynomials.
Detection and Classification of ADHD from EEG Signals Using Tunable Q-Factor Wavelet Transform
Authors: Joy R. Catherine , George S. Thomas , Rajan A. Albert , Subathra M. S. P. , Sairamya N. J. , Prasanna J. , Mohammed Mazin Abed , Al-Waisy Alaa S. , Jaber Mustafa Musa , Al-Andoli Mohammed Nasser
Published: September 2022

The automatic identification of Attention Deficit Hyperactivity Disorder (ADHD) is essential for developing ADHD diagnosis tools that assist healthcare professionals. Recently, there has been a lot of interest in ADHD detection from EEG signals because it seemed to be a rapid method for identifying and treating this disorder. This paper proposes a technique for detecting ADHD from EEG signals with the nonlinear features extracted using tunable Q-wavelet transform (TQWT). The 16 channels of EEG signal data are decomposed into the optimal amount of time-frequency sub-bands using the TQWT filter banks. The unique feature vectors are evaluated using Katz and Higuchi nonlinear fractal dimension methods at each decomposed levels. An Artificial Neural Network classifier with a 10-fold cross-validation method is found to be an effective classifier for discriminating ADHD and normal subjects. Different performance metrics reveal that the proposed technique could effectively classify the ADHD and normal subjects with the highest accuracy. The statistical analysis showed that the Katz and Higuchi nonlinear feature estimation methods provide potential features that can be classified with high accuracy, sensitivity, and specificity and is suitable for automatic detection of ADHD. The proposed system is capable of accurately distinguishing between ADHD and non-ADHD subjects with a maximum accuracy of 100%.
Isorhamnetin Attenuated the Release of Interleukin-6 from β-Amyloid-Activated Microglia and Mitigated Interleukin-6-Mediated Neurotoxicity
Authors: Wei Pei-Cih , Lee-Chen Guey-Jen , Chen Chiung-Mei , Chen Ying , Lo Yen-Shi , Chang Kuo-Hsuan
Published: September 2022

Alzheimer’s disease (AD), characterized by the abnormal accumulation of β-amyloid (Aβ), is the most prevalent type of dementia, and it is associated with progressive cognitive decline and memory loss. Aβ accumulation activates microglia, which secrete proinflammatory factors associated with Aβ clearance impairment and cause neurotoxicity, generating a vicious cycle among Aβ accumulation, activated microglia, and proinflammatory factors. Blocking this cycle can be a therapeutic strategy for AD. Using Aβ-activated HMC3 microglial cells, we observed that isorhamnetin, a main constituent of Oenanthe javanica, reduced the Aβ-triggered secretion of interleukin- (IL-) 6 and downregulated the expression levels of the microglial activation markers ionized calcium binding adaptor molecule 1 (IBA1) and CD11b and the inflammatory marker nuclear factor-κB (NF-κB). Treatment of the SH-SY5Y-derived neuronal cells with the Aβ-activated HMC3-conditioned medium (HMC3-conditioned medium) or IL-6 increased reactive oxygen species production, upregulated cleaved caspase 3 expression, and reduced neurite outgrowth, whereas treatment with isorhamnetin counteracted these neurodegenerative presentations. In the SH-SY5Y-derived neuronal cells, IL-6 upregulated the phosphorylation of tyrosine kinase 2 (TYK2) and signal transducer and activator of transcription 1 (STAT1), whereas isorhamnetin normalized this abnormal phosphorylation. Overexpression of TYK2 attenuated the neuroprotective effect of isorhamnetin on IL-6-induced neurotoxicity. Our findings demonstrate that isorhamnetin exerts its neuroprotective effect by mediating the neuroinflammatory IL-6/TYK2 signaling pathway, suggesting its potential for treating AD.
A Study on Competence of Teaching or Scientific Projects Research for Primary and Secondary School Teachers Based on Blockchain Technology
Authors: Fang Jiacheng , Guo Qin , Guan Shanchao
Published: September 2022

Competence of Teaching or Scientific Projects, which include teacher competencies, knowledge, self-image, motivation, and personality traits, distinguishes high-performing teachers from average teachers in school education. The Competence of Teaching or Scientific Projects model is the sum of the competency characteristics required for the specific role of a teacher, and it is a set of characteristics developed in response to the professional performance and task requirements of the teacher. This paper adopts a systematic literature review method to analyze the research results on teachers' research competency in China since the 21st century. Horizontally, the number of literature types first increases and then stabilizes, the publishing journals are concentrated, and the research topics are diverse; vertically, the definition of teacher research competency includes hybrid, behavioral, and trait theory; the cultivation goals of teacher research competency range from breakpoint separation to articulation and integration, the cultivation process ranges from theory acquisition to participation in creation, and the cultivation methods range from primary and secondary schools based to demand-based. The construction of a teacher research competency model helps in teacher recruitment, research competency development, and assessment; the construction methods include qualitative, quantitative, and mixed research; specific strategies involve sample selection, competency indicator determination, and subjective influence control. This study selected high-performing primary and secondary school outstanding teachers as a valid sample, used the event interview method, adopted the classical BEI competency modeling method, analyzed key behavioral events that occurred in teachers’ past teaching work, examined performance behaviors, explored identifying and conceptualizing Competence of Teaching or Scientific Projects characteristics, determined outstanding Competence of Teaching or Scientific Projects criteria through retrospective interview evaluations of graduates, explored key elements of teachers’ long-term impact on students, compared outstanding teachers with ordinary teachers, and constructed a model of primary and secondary school Competence of Teaching or Scientific Projects to provide an effective basis for teacher selection, training, and assessment. Future research needs to increase research perspectives, broaden research themes, and innovate research methods.
Automatic Segmentation of Lumbar Spine MRI Images Based on Improved Attention U-Net
Authors: Wang Shuai , Jiang Zhengwei , Yang Hualin , Li Xiangrong , Yang Zhicheng
Published: September 2022

Lumbar spine segmentation is important to help doctors diagnose lumbar disc herniation (LDH) and patients’ rehabilitation treatment. In order to accurately segment the lumbar spine, a lumbar spine image segmentation algorithm based on improved Attention U-Net is proposed. The algorithm is based on Attention U-Net, the attention module based on multilevel feature map fusion is adopted, two residual modules are introduced instead of the original convolution blocks. a hybrid loss function is used for prediction during the training process, and finally, the image superposition process is realized. In this experiment, we expanded 420 lumbar MRI images of 180 patients to 1000 images and trained them by different algorithms, respectively, and accuracy, recall, and Dice similarity coefficient metrics were used to analyze these algorithms. The results show that compared with SVM, FCN, R-CNN, U-Net, and Attention U-Net models, the improved model achieved better results in all three evaluations, with 95.50%, 94.53%, and 95.01%, respectively, which proves the better performance of the proposed method for segmentation in lumbar disc and caudal vertebrae.
Nutritional Quality of Three Iron-Rich Porridges Blended with Moringa oleifera, Hibiscus sabdariffa, and Solanum aethiopicum to Combat Iron Deficiency Anemia among Children
Authors: Saha Brice Ulrich Foudjo , Choumessi Aphrodite Tchewonpi , Ayamo Alvain Meshi , Kuagny Ronald Blaise Mouafo , Teta Ismael , Nantia Edouard Akono , Ejoh Richard Aba
Published: September 2022

Iron deficiency anemia has been a public health issue in children under five years of age in Cameroon. Very limited attempts have been carried out to develop an iron-rich food using local ingredients. The study aimed at developing functional porridges from local ingredients for iron-deficient children aged 6–23 months. Leaves of Moringa oleifera, Hibiscus sabdariffa, and Solanum aethiopicum were harvested as sources of iron, dried, ground into powder, and screened for their water and iron contents. Each vegetable powder was mixed with the other ingredients (dry whole milk, brown sugar, yellow maize flour, and refined soybean oil) to obtain three powdered porridges using linear programming (LP). Protein, lipid, carbohydrate, iron, energy, water, ash, crude fiber, and vitamin C contents, expressed in dry weight, were determined on powdered porridges. Powdered porridges were cooked in boiled water (ratio 2 : 7%w/w) for 5 min. Hedonic tests were conducted using cooked porridges with 50 untrained panelists. Leaf powders contained iron varying between 5.39 and 5.98 mg/100 g. LP models of the three porridges satisfied the nutritional requirements of children aged 6–23 months in terms of iron, lipid, protein, carbohydrate, and caloric daily intake. Protein, lipid, carbohydrate, iron, energy, water, ash, crude fiber, and vitamin C contents were, respectively, between 11.37 and 13.83 g/100g, 30.79 and 32.94 g/100g, 45.97 to 46.81 g/100g, 5.14 and 6.15 mg/100g, 509.93 and 517.48 kcal/100g, 6.42 to 7.62 g/100g, 2.20 and 2.88 g/100g, 1.65 and 2.44 g/100g, and 46.49 and 163.38 mg/100g. The cost of powdered porridges varied between 0.40 and 0.49 USD/100g. The sensory analysis showed that the moringa leaf-based porridge (82%) was the most appreciated followed by eggplant leaf-based porridge (80%) and folere leaf-based porridge (70%). Hence, these results showed that moringa, folere, and eggplant leaves can be used in functional foods to alleviate iron deficiency among children aged 6–23 months.
[Retracted] MRI Diagnosis and Pathological Examination of Axillary Lymph Node Metastasis in Breast Cancer Patients
Authors: Fu Xiaodan , Jiang Bingjing , Fu Jieting , Jia Jinli
Published: September 2022

In order to explore the characteristics and diagnostic value of magnetic resonance imaging (MRI) in axillary lymph node metastasis of breast cancer, a total of 200 breast cancer patients diagnosed and treated from January 2021 to January 2022 are selected as the study subjects, and 200 patients are divided into an axillary lymph node metastasis group and a simple breast cancer group according to pathological results. The pathological results are used as the gold standard to determine the accuracy and diagnostic efficacy of MRI results. A multivariate logistic regression method is used to analyze the influencing factors of MRI image characteristics of breast cancer axillary lymph node metastasis. The experimental results show that MRI has high application values in diagnosing axillary lymph node metastasis of breast cancer, which is worthy of clinical promotion and application.
[Retracted] Teaching Mode of Basic Piano Course in Colleges Based on Students’ Application Ability under FC Environment
Authors: Li Lin
Published: September 2022

With the popularization of piano education, various schools are constantly carrying out reforms in order to cultivate piano application‐oriented talents. While accelerating the creation of a perfect piano teaching model, they are also striving to adapt to the trend of the times. The basic education of piano in colleges and universities is a training activity for musicians, and this education method directly affects the professional quality of music of students. How to learn basic piano is very worthy of attention. Basic piano education is a thorough training of piano in conventional colleges, which can improve practical strength and the capacity to apply music broadly. The main purpose of teaching the fundamentals of piano is to develop students’ visual acuity and help them comprehend and apply the principles of aesthetics. The teaching approach for beginning piano classes at various schools is still in its infancy and is deficient in every way. This essay examines the “flipped classroom (FC)” teaching approach used to offer beginner piano lessons in a number of schools. This study proposes the specific process of the “FC” teaching mode and explores the implementation impact of particular scenarios, specifically in light of the features of the training mode of applied abilities. Through inquiry and research, it has been determined that students who get FC instruction have greater employment rates than those who receive traditional instruction, with an average rise of 14.2 percent and a maximum increase of 17 percent. Based on the students’ application skills, it demonstrates that the FC teaching technique is generally successful for the teaching method of basic piano courses in colleges and universities.
Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce
Authors: Wang Lei
Published: September 2022

As a new form of e-commerce, digital industry will become a tool to enhance regional competitiveness and win the allocation of resources, and its advanced degree is the standard to measure economic strength. In the process of development, countries and regions need to master their development status, so a set of digital industry evaluation index system is necessary to help various fields monitor the development status of e-commerce industry, aiming at providing more targeted services. Therefore, the establishment of regional digital industry progress index is conducive to evaluating and improving the development level of e-commerce. Because of the unbalanced development among different regions and the diversity and fuzziness of evaluation indexes, how to evaluate the development degree of cross-border electronic commerce in a region has become the main problem at present. In this paper, the evaluation index of regional promotion degree in cross-border electronic commerce is constructed, and on this basis, the intuitionistic fuzzy multiattribute group decision-making method based on induction is used to evaluate the promotion degree of regional cross-border electronic commerce. By analyzing the actual situation of cross-border Internet e-commerce comprehensive evaluation cases in various regions of Zhejiang Province, it is proved that this method is really effective. In view of this, this paper constructs an integrated multiangle monitoring index system of regional digital industry progress index, puts forward a subjective and objective method based on the principle of the minimum distance between the evaluated object and the ideal point, and combines the regional digital industry progress index with the comprehensive index method. The measurement model is used to measure the progress of digital industry in this region from June 2019 to June 2020, as an empirical object. The empirical results will show that this road is easy, and at the same time, we can fully grasp the progress of digital technology in a region.
Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Androgen Receptor-Positive TNBC
Authors: Guo Qiaonan , Qiu Pengjun , Yao Qingzhi , Chen Jianpeng , Lin Jianqing
Published: September 2022

As the most invasive and lethal subtype of breast cancer (BC), triple-negative breast carcinoma (TNBC) is of increasing interest. However, the androgen receptor (AR) still has an unclear role in TNBC. The current study is aimed at testing the diagnostic and therapeutic performance of novel biomarkers for AR-positive TNBC. The GSE76124 dataset was analyzed by combining WGCNA and other bioinformatics methods. Subsequently, function enrichment analysis was applied to identify the relationships between these differential expression genes (DEGs). Subsequently, the protein-protein interaction network was established, and the hub genes were identified by Cytoscape software. Eventually, the miRNA-hub gene modulate network was developed and the Drug-Gene Interaction Database (DGIdb) was applied to verify the potential drugs for AR-positive TNBC. In the current research, 88 DEGs in total were selected from the intersection of the purple module genes identified by WGCNA and limma package. TFF1, FOXA1, ESR1, AGR2, TFF3, AGR3, GATA3, XBP1, SPDEF, and TOX3 were selected as hub genes by the MCC method, which were all upregulated. The survival analysis suggested that TFF1 was the only one related to significant lower survival rate in TNBC. Ultimately, hsa-miR-520g-3p and hsa-miR-520h were found taking part in the regulation of TFF1, and 2 small molecules were identified as the potential targets for AR-positive TNBC treatment. As a result, our study suggested that hsa-miR-520g-3p, hsa-miR-520h, and TFF1 might have significant potential values for AR-positive TNBC diagnosis and prognosis prediction. TFF1, hsa-miR-520g-3, and hsa-miR-520h may serve as the novel therapeutic targets, and our findings offer further insights into the therapy of AR-positive TNBC.
A Self-Adaptive Multiobjective Differential Evolution Algorithm for the Unrelated Parallel Batch Processing Machine Scheduling Problem
Authors: Song Cunli
Published: September 2022

In this paper, the unrelated parallel batch processing machine (UPBPM) scheduling problem is addressed to minimize the total energy consumption (TEC) and makespan. Firstly, a mixed-integer line programming model (MILP) of the UPBPM scheduling problem is presented. Secondly, a self-adaptive multiobjective differential evolution (AMODE) algorithm is put forward. Since the parameter value can affect the performance of the algorithm greatly, an adaptive parameter control method is proposed according to the convergence index of the individual and the evolution degree of the population to improve the exploitation and exploration ability of the algorithm. Meanwhile, an adaptive mutation strategy is proposed to improve the algorithm’s convergence and the solutions’ diversity. Finally, to verify the effectiveness of the algorithm, comparative experiments are carried out on 20 instances with 5 different scales. Numerical comparisons indicate that the proposed method can achieve high comprehensive performance.