bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Teleworking on Working Conditions of Workers: A Post-COVID-19 Lockdown Evaluation
Authors: Segbenya Moses , Okorley Edna Naa Amerley
Published: July 2022

This study examines the effect of teleworking on working conditions of workers, a post-COVID-19 lockdown evaluation. The quantitative approach and descriptive cross-sectional research design were adopted. A sample of 265 participants from both public and private sectors were sampled for the study. Data was collected with a self-administered questionnaire and analyzed with partial least square structural equation modelling (PLS-SEM). The study found that teleworking/virtual working significantly affects participant’s working conditions during a pandemic. Furthermore, workplace safety and work schedules were also found to be significantly influenced by teleworking and eventually influencing the working conditions of teleworkers during a pandemic. The two most important predictors of decent working conditions for workers during the pandemic found by this study were teleworking and work schedules. Therefore, it was recommended that employers provide data and logistical support and training for workers to effectively use virtual/teleworking to enhance working conditions and eventually workers’ productivity during any pandemic.
Tourists’ Landscape Preferences of Luoxiao Mountain National Forest Trail Based on Deep Learning
Authors: Ding Ying , Bai Zhiyong , Xia Hongling , Tang Hui
Published: July 2022

Assessing visitor usage and understanding visitor experiences are key components of the sustainable management of the natural environment. In the study of the relationship between people and landscapes, the combination of deep learning and traditional classification is rarely used to study the landscape preferences in the natural environment, and the research perspective of vertical space at altitude is lacking. This article is based on photo data voluntarily uploaded by tourists on the 2bulu outdoor assistant platform. A combination of deep learning and traditional manual classification was used to divide the collected 43234 landscape photos into 9 categories. Then, the time stamp, latitude, longitude, altitude, and other attribute information about the geotagged photos were used to study the specific landscape preferences of the main nature reserves along the Luoxiao Mountain National Forest Trail at different time scales, protected areas, and altitudes. The research results showed that the capture ability of the landscape reduced the representativeness of social media in terms of the preferences of tourists. Roads and identification facilities were particularly preferred by tourists in this subcategory. The preferences for various landscape types exhibited an obvious festival effect, which was affected by the peculiarities of the landscape in a particular season. Spatially, it exhibited an agglomeration pattern characterized by the concentration in the central area and scattering in the northern and southern regions. The preference for landscape types in the southern section was more abundant than that in the northern section, and there were significant differences at different altitudes. Tourism facilities and characters were the most preferred by tourists in each altitude range.
Operational Status Monitoring and Fault Diagnosis System of Transformer Equipment
Authors: Yuan Guijun , Zhang Songtao
Published: July 2022

In order for valuable distribution transformer data to provide a potential solution for monitoring abnormal conditions, the authors propose a data-driven abnormal state monitoring data acquisition algorithm for distribution network transformers. The algorithm can alert operators and maintenance personnel of abnormal conditions in a timely manner. In the proposed algorithm, the Spearman rank correlation coefficient is used to display the correlation between phase currents, and its

t

statistic is used to determine whether there is an abnormality in the determined data collection based on hypothesis testing. Finally, the effectiveness of the proposed algorithm is verified by using the actual data collected from the power grid, and the characteristics of normal and abnormal conditions are analyzed separately. Sensitivity analyses were performed for different significance levels and sampling rates to consider their impact on monitoring results. The application results show that the power grid recovered a total of 12.98 million yuan from 136 households with a power consumption of 17.57 GWh, proving the practicability of the algorithm. Conclusion. The application in the actual power system is given, and the feasibility of the algorithm is proved.
Functional Imaging in Improving Children’s Mental Health Based on Behavior
Authors: Li Hua , Lei Yuehua , Guo Tao , Zhang Xiang , Zhu Hong
Published: July 2022

At present, children’s psychological and behavioral health care is mainly based on the doctor’s observation and diagnosis. On the whole, it is inefficient, and the effect of health care cannot meet the current needs of children’s behavior. Therefore, this paper uses the method of functional imaging to study the key factors of children’s behavioral health care. In this paper, the structure and function of children’s brain are associated with children’s psychological behavior. The brain structure of 64 children in our city is detected by functional image processing, and 64 children are divided into groups according to the detection results. According to the children’s performance, the children were divided into physical disorder (11 cases), emotional disorder (14 cases), cognitive disorder (12 cases), and normal group (42 cases). Among them, 3 cases had three kinds of disorders, 6 cases had both emotional and cognitive disorders, 7 cases had physical and emotional disorders, and 5 cases had physical and cognitive disorders. In this paper, according to the research data of functional imaging on different levels of children’s brain, we use computer to model and simulate through digital conversion technology, draw the neural network Atlas of children’s psychological behavior, compare the children’s representation and image characteristics according to functional imaging, and then, study the relationship between children’s signs and images, to make a plan for improving children’s psychological behavior health care. The study shows that in the above different groups, the linear correlation between the functional imaging results and the representation of 22 abnormal children is 98%, and the fuzzy deviation is only 3.52%, which indicates that functional imaging can be used as the basic judgment basis in improving children’s psychological and behavioral health care and can predict and reasonably prevent children’s potential psychological behavior according to the images.
Treatment of Down Syndrome-Associated Arthritis with JAK Inhibition
Authors: Jones Jordan T.
Published: July 2022

Down syndrome (DS) results from a trisomy of chromosome 21, which causes immune dysregulation that leads to hyperactivation of interferon and Janus kinase (JAK) signaling. This results in complex medical abnormalities in the immune system and an increase in autoimmune and autoinflammatory conditions such as down syndrome-associated arthritis (DA). DA is an aggressive, destructive, inflammatory arthritis that is easily misdiagnosed and difficult to treat. Treatment commonly includes immunosuppressive therapy, but these are often associated with adverse effects and ineffectiveness. This case report outlines a 6-year-old male with DA that was successfully treated with the JAK inhibitor tofacitinib. Due to the aggressive nature of DA and poor response to many immunosuppressive therapies, this case report was created to increase awareness of JAK inhibition as an effective, well-tolerated treatment for DA.
Flavokawain B Weakens Gastric Cancer Progression via the TGF-β1/SMAD4 Pathway and Attenuates M2 Macrophage Polarization
Authors: Zhu Yongzhao , Fan Weining , Wang Yuanzhen , Ding Huan , Yang Shaoqi , He Fang
Published: July 2022

This study was designed to observe the treatment effects of flavokawain B (FKB) on gastric cancer both in SGC-7901 cells and nude mice. When SGC-7901 cells were exposed to 10 μg/mL FKB, cellular proliferative and apoptotic capacities and cell cycle were detected utilizing CCK-8 and flow cytometry assays. The results showed that FKB treatment induced cell apoptosis and G2/M arrest and suppressed cell proliferation for SGC-7901 cells. Western blot results showed that FKB upregulated proapoptotic proteins as well as downregulated antiapoptotic and cell cycle-related proteins in SGC-7901 cells. SMAD4, TGF-β1, and TSPAN12 proteins were tested in FKB-induced SGC-7901 cells. Following exposure to FKB, SMAD4, TGF-β1, and TSPAN12 expression was augmented in SGC-7901 cells. si-SMAD4 transfection weakened cell apoptosis and accelerated cell proliferation. Furthermore, FKB reversed the change in apoptotic and cell cycle-related proteins induced by si-SMAD4. A nude mouse tumorigenesis model was constructed, which was treated by FKB. In the nude mouse tumorigenesis model, FKB activated the TSPAN12 expression and TGF-β1/SMAD4 pathway. Also, FKB treatment prolonged the survival time of nude mice and lowered tumor weight. iNOS and CD86 expression was significantly enhanced, and Arg-1 and CD206 expression was significantly decreased in THP-1 cells cultured in conditioned media from FKB-treated SGC-7901 cells. Additionally, FKB-treated SGC-7901 cells weakened macrophage migration. Collectively, this evidence suggested that FKB accelerated apoptosis and suppressed the proliferation of gastric cancer cells and attenuated M2 macrophage polarization, thereby exerting an anticancer effect on gastric cancer.
Genomic Analysis of Abnormal DNAM Methylation in Parathyroid Tumors
Authors: Li Qing , Li Yonghao , Sun Ximei , Zhang Xinlei , Zhang Mei
Published: July 2022

Background. Parathyroid tumors are common endocrine neoplasias associated with primary hyperparathyroidism. Although numerous studies have studied the subject, the predictive value of gene biomarkers nevertheless remains low. Methods. In this study, we performed genomic analysis of abnormal DNA methylation in parathyroid tumors. After data preprocessing, differentially methylated genes were extracted from patients with parathyroid tumors by using t-tests. Results. After refinement of the basic differential methylation, 28241 unique CpGs (634 genes) were identified to be methylated. The methylated genes were primarily involved in 7 GO terms, and the top 3 terms were associated with cyst morphogenesis, ion transport, and GTPase signal. Following pathway enrichment analyses, a total of 10 significant pathways were enriched; notably, the top 3 pathways were cholinergic synapses, glutamatergic synapses, and oxytocin signaling pathways. Based on PPIN and ego-net analysis, 67 ego genes were found which could completely separate the diseased group from the normal group. The 10 most prominent genes included POLA1, FAM155 B, AMMECR1, THOC2, CCND1, CLDN11, IDS, TST, RBPJ, and GNA11. SVM analysis confirmed that this grouping approach was precise. Conclusions. This research provides useful data to further explore novel genes and pathways as therapeutic targets for parathyroid tumors.
hsa_circ_0000518 Facilitates Non-Small-Cell Lung Cancer Progression via Moderating miR-330-3p and Positively Regulating SLC1A5
Authors: Lv Huilai , Shi Zhihua , Sui Aixia , Zhang Yan , Peng Liangbiao , Wang Mingbo , Zhang Fan
Published: July 2022

Background/Aim. Non-small-cell lung cancer (NSCLC) is the principal agent of cancer deaths globally. The goal of this study was to determine how circular RNA_0000518 (circ_0000518) regulates tumor progression. Materials/Methods. circ_0000518 was selected as a study target involved in NSCLC from GEO (Gene Expression Omnibus) database. circ_0000518 level was gauged by qRT-PCR. It was confirmed as circRNA by actinomycin D inhibition and RNase R assay. Subcellular localization of circ_0000518 was identified by FISH. Cell function was determined by CCK-8, Transwell, and western blot. Glutamine metabolic factors were detected by ELISA. The target regulation relationship between genes was clarified by dual-luciferase reporter assay. In vivo models were established to evaluate the impact of circ_0000518 on tumor growth. Immunohistochemical staining for Ki67, vimentin, and E-cadherin was used to detect cell proliferation and metastasis, respectively. Results. circ_0000518 expression was enhanced in NSCLC. si-circ_0000518 inhibited cell proliferation, invasion, and glutamine metabolism. circ_0000518 functioned as a molecular sponge for miR-330-3p, and inhibition of miR-330-3p in cells markedly reversed circ_0000518 interference-mediated antitumor effects. miR-330-3p interacted with 3

′

-UTR of SLC1A5. miR-330-3p inhibitor-mediated protumor effect was remarkably reversed in cells after the knockdown of SLC1A5. circ_0000518 knockdown reduced glutamine, glutamate, and α-KG by targeting miR-330-3p. Intertumoral injection of circ_0000518 shRNA adeno-associated virus effectively halted xenograft tumor growth. Conclusion. The current study revealed that circ_0000518 may have a prooncogenic function in the formation and progression of NSCLC, which might be achieved through moderating the miR-330-3p/SLC1A5 axis.
Light Emitting Diode Photobiomodulation Enhances Oxidative Redox Capacity in Murine Macrophages Stimulated with Bothrops jararacussu Venom and Isolated PLA2s
Authors: dos Reis Valdison Pereira , da Silva Setúbal Sulamita , Ferreira e Ferreira Alex A. , Santana Hallison Mota , Silva Milena Daniela Souza , Sousa Ortência De Oliveira , Boeno Charles Nunes , Soares Andreimar M. , Zamuner Stella R. , Zuliani Juliana P.
Published: July 2022

Photobiomodulation therapy associated with conventional antivenom treatment has been shown to be effective in reducing the local effects caused by bothropic venoms in preclinical studies. In this study, we analyzed the influence of photobiomodulation using light emitting diode (LED) on the oxidative stress produced by murine macrophages stimulated with Bothrops jararacussu venom and it isolated toxins BthTX‐I and BthTX‐II. Under LED treatment, we evaluated the activity of the antioxidant enzymes catalase, superoxide dismutase, and peroxidase as well as the release of hydrogen peroxide and the enzyme lactate dehydrogenase. To investigate whether NADPH oxidase complex activation and mitochondrial pathways could contribute to hydrogen peroxide production by macrophages, we tested the effect of two selective inhibitors, apocynin and CCCP3, respectively. Our results showed that LED therapy was able to decrease the production of hydrogen peroxide and the liberation of lactate dehydrogenase, indicating less cell damage. In addition, the antioxidant enzymes catalase, superoxide dismutase, and peroxidase increased in response to LED treatment. The effect of LED treatment on macrophages was inhibited by CCCP3, but not by apocynin. These findings show that LED photobiomodulation treatment protects macrophages, at least in part, by reducing oxidative stress caused B. jararacussu venom and toxins.
Detection of the Content of Two Coumarins, IM and ISOIM, and Their Mechanism of Action on Colitis Rats in Angelica albicans
Authors: Zhang Juan , Dong Leilei , Pan Ying
Published: July 2022

Angelica albicans is being used in the cure of different, respiratory, neuromuscular, and cutaneous diseases in traditional eastern medicine. The pharmacokinetic (PK) characteristics of imperatorin (IM) and isoimperatorin (ISOIM), the main effective components in Angelica albicans, were investigated. The rapid, subtle, and measuring the PKs of a drug, a validated UPLC/MS/MS methodology was designed for a total of 2 furanocoumarins in 2,4,6-trinitrobenzene sulfonic acid-stimulated and untreated mice. After that, blood samples were obtained. Angelica albicans (0.5 and 1.0 g/kg) was given orally, taken regularly from the tail vein. The time it takes for colitis rats to achieve their maximal concentration (

T

max

) imperatorin and isoimperatorin was considerably postponed. In comparison to normal rats, all furanocoumarins had lesser peak plasma concentrations (

C

max

) and higher represent residence durations. The area below the

C

max

time-curve or clearance half-life did not differ significantly. In normal rats, all two furanocoumarins attained maximal plasma levels between 40 and 75 minutes, demonstrating fast oral absorption. The periods to attain

T

max

of the two furanocoumarins, on the other hand, were shorter than in earlier studies. Therefore, colitis-linked alterations in the drug-absorption stage may result in a late

T

max

and lowered

C

max

, which have no effect on its clearance in half-life. Hence, conclusively, as a result, more consideration should be given to the prescription and administration of Angelica albicans in colitis individuals, and more research is needed to determine whether the changed PK profile was clinically meaningful for medicinal dose.
An Investigation into the Correlation of Intestinal Flora with Obesity and Gestational Diabetes Mellitus
Authors: Song Zhiying , Li Shumin , Li Rongqin
Published: July 2022

Object. To investigate the relationship between intestinal flora and gestational diabetes mellitus (GDM) and overweight. Method. Thirty-two pregnant women aged 25-35 who were hospitalized in Shanxi Maternal and Child Health Hospital from January 2019 to December 2019 were included for evaluation, including 15 normal pregnant women (NG_NO group), 6 pregnant women with GDM alone (G_NO group), and 7 pregnant women with overweight alone (NG_O group). Stools were collected from pregnant women at 24 and 37 weeks of gestation and newborns’ first meconium. The v3-v4 variable region of the gut flora 16s rRNA was double-ended sequenced and bioinformatically analyzed using the Illumina MiSeq PE300 sequencing platform. Results. In the third trimester of pregnancy, there were significant differences in the composition of intestinal flora between the simple overweight group, simple GDM group, and normal pregnant group. From the second trimester to the third trimester, there was no significant change in the relative distribution of intestinal flora at the phyla classification level in normal pregnant women. The relative distribution of intestinal flora at the phylum level of newborns was significantly different from that of their mothers. The characteristic intestinal microbes of newborns in simple GDM group were g_Diaphorobacter, while the simple recombinant neonates were Nocardiaceae (f_Nocardioidaceae). In addition, the results showed significant differences in intestinal flora among the normal pregnant women group, simple GDM group, simple overweight group, and GDM overweight group. The results of

β

diversity analysis showed a significant difference in intestinal microflora species composition structure between the simple overweight group and the normal pregnant group in the second trimester of pregnancy. The species composition structure of intestinal flora was similar between the simple GDM group and the normal pregnant group. In the third trimester of pregnancy, there was no significant difference in the

β

diversity index among the groups, and the composition and structure of intestinal flora were similar. There were significant differences in the composition structure (

β

diversity) of intestinal flora between pregnant women and their newborns in each group (

P
<
0.05

). Correlation analysis showed that the blood glucose values of oral glucose tolerance test (OGTT)_1 h and OGTT_2 h were positively correlated with Bacteroides (Bacteroides) and negatively correlated with Proteus (Prevotella), prepregnancy BMI was negatively correlated with Bacteroides, and weight gain during pregnancy was negatively correlated with Vibrio (Desulfovibrio) in Proteus. The birth weight of newborns was positively correlated with Actinomycetes (Actinomyces), Bacteroides (Faecalibacterium), and microbacilli (Dialister) and negatively correlated with Rolston (Ralstonia). Conclusion. Gut microbiota is strongly linked to obesity and gestational diabetes.
The Influence of Buckling Mode and Buckling Stability Coefficient of Rigid-Frame Bridge during Construction in Cold Region
Authors: Li Jiangjiang , Zhang Xuanyu , Wang Xiandong
Published: July 2022

The study aims to further standardize the construction process, improve the construction quality, and ensure the stability of infrastructure construction. The continuous rigid-frame bridge is taken as the research object, the finite element model of the bridge body is established by using the beam element, and the overall stability of the rigid-frame bridge is analyzed in the construction and completion stages. Moreover, the stability coefficient and buckling mode are established under different working conditions in each stage, the linear stability variation law is summarized, and the geometric nonlinear stability analysis method is established through the specific data. The nonlinear stability safety factor and buckling mode are obtained, and the influence of wind load and initial defects on the stability of continuous rigid-frame bridge is further explored. The results show that with the increase of the bridge height, the overall stability factor of the bridge is decreasing, and the safety factor of the single-limb thin-walled hollow pier is relatively larger than that of the double-limb thin-walled hollow pier. During the construction, the asymmetric self-weight load caused by the asynchronous load and cantilever pouring has the greatest impact on the stability of the bridge. The stability safety factor of the geometric nonlinear stability analysis method constructed is 0.3% and 1.27% lower than the ideal state, respectively. The stability safety factor of the wind load and the initial defect is 12.65% lower than the ideal state, and the stability safety factor is greatly reduced. The results have important reference significance to ensure the construction safety and overall stability of the bridge.
Study on a Rapid Aerodynamic Optimization Method of Flying Wing Aircraft for Conceptual Design
Authors: Wei Chenhao , Huang Jun , Song Lei
Published: July 2022

Searching for a design scheme satisfying the requirements in aircraft conceptual design can be a time-consuming work because of the multipeak and nonlinearity of the design space. This paper proposed a rapid aerodynamic optimization method for flying wing aircraft conceptual design. This method is aimed at reducing the induced drag at the design point by adjusting the camber and twist angle of spanwise airfoil. Firstly, the mean camber surface of the flying wing aircraft was parameterized. Secondly, the surrogate model was constructed based on the points selected by the optimization Latin square method. Thirdly, the surrogate model combined with a multi-island genetic algorithm was used for the preliminary solution of global optimum, and then, the Nonlinear Programming by Quadratic Lagrangian method combined with a vortex lattice method was used for searching the nearest exact best point from the initial best point. Finally, connecting with manual selection, the optimized flying wing layout scheme was obtained. The optimized results show that the induced drag coefficient is reduced by 10%, the pitching moment coefficient is reduced by an order of magnitude, and the lift drag ratio is increased from 26.3 to 27.3. The proposed optimization method decreases the time cost in aircraft conceptual design while achieving sufficient calculation accuracy. By using this method, the design space can be explored rapidly to search for the best design scheme satisfying the constraints.
Adherence to Self-Care among Patients with Hypertension in Ethiopia: A Systematic Review and Meta-Analysis
Authors: Edmealem Afework , Ademe Sewunet , Gedamu Sisay
Published: July 2022

Background. Self-care adherence for hypertensive patients is a cornerstone for the control of it and prevention of its complications. However, there are inconsistent findings for self-care adherence of hypertensive patients in Ethiopia. Thus, this systematic review and meta-analysis was done to determine the pooled estimate self-care adherence. Methods. This systematic review and meta-analysis was reported based on the Preferred Reporting Items for Systematic Review and Meta-Analysis guideline. An intensive search of online databases such as PubMed (MEDLINE), CINHAL, Google Scholar, and advanced Google search was made to access both published and unpublished articles that report self-care adherence among hypertensive patients in Ethiopia. The pooled estimate was done with STATA version 11 metan commands in a 95% confidence interval. The presence of heterogeneity and publication bias were detected by I2 and Egger’s test, respectively. A random-effect model was obtained, and subgroup analysis was done for the management of heterogeneity. Result. A total of 24 articles with a total of 7224 participants were included in the final systematic review and meta-analysis. The pooled estimate of overall self-care adherence among hypertensive patients was 36.98% (95% CI: 27.13–46.83). In subgroup analysis, the highest overall self-care adherence was observed in the Amhara region at 53% (95% CI: 46.54, 59.47). The pooled estimate of self-care dimensions such as medication adherence, low-salt diet, physical activity, smoking abstinence, alcohol abstinence, and weight management was 62.71%, 65.96%, 47.28%, 92.53%, 67.59%, and 52.54%, respectively. Conclusion. The pooled estimate of good self-care adherence among hypertensive patients was low. From the dimensions of self-care, the lowest level was in physical activity and the highest level was in smoking abstinence. Comparing all regions, the lowest level of overall self-care adherence was observed in Addis Ababa, Tigray region, and South Nations and Nationalities of Ethiopia. Screening of adherence to self-care and health education should be provided to every patient during every visit.
Investigating the Role of Dahuang in Hepatoma Treatment Using Network Pharmacology, Molecular Docking, and Survival Analysis
Authors: Yu Bin , Wang Maoru , Xu Hui , Gao Rongrong , Zhu Yuanying , Ning Hong , Dai Xiaoyu
Published: July 2022

Hepatoma is one of the most common malignant tumors. The incidence rate is high in developing countries, and China has the most significant number of cases. Dahuang is a classic traditional antitumor drug commonly used in China and has also been applied to treat hepatoma. However, the potential mechanism of Dahuang in treating hepatoma is not clear. Therefore, this study is aimed at elucidating the possible molecular mechanism and key targets of Dahuang using methods of network pharmacology, molecular docking, and survival analysis. Firstly, the active ingredients and key targets of Dahuang were analyzed through public databases, and then the drug‐ingredient‐target‐disease network diagram of Dahuang against hepatoma was constructed. Five main active components and five core targets were determined according to the enrichment degree. Enrichment analysis demonstrated that Dahuang treated hepatoma through the multiple pathways in cancer. Additionally, molecular docking predicted that aloe‐emodin and PIK3CG depicted the best binding energy. Survival analysis indicated that a high/ESR1 gene expression had a relatively good prognosis for patients with hepatoma (p < 0.05). In conclusion, the current study results demonstrated that Dahuang could treat hepatoma through a variety of active ingredients, targets, and multiantitumor pathways. Moreover, it effectively improved the prognosis of hepatoma patients. ESR1 is the potential key gene that is beneficial for the survival of hepatoma patients. Also, aloe‐emodin and beta‐sitosterol are the two main active crucial ingredients for hepatoma treatment. The study also provided some functional bases and references for the development of new drugs, target mining, and experimental animal research of hepatoma in the future.
Online Intelligent Course Education Based on Grid Model Simplification
Authors: Jin Ning , Yan Zhengkun
Published: July 2022

In order to explore the teaching efficiency of online intelligent courses and improve the quality of online teaching, this paper builds a classroom intelligent auxiliary management model based on the grid simplification method. Moreover, this paper formulates corresponding teaching strategies through the recognition of student state features, uses a target detector to detect all detection targets from the scene, and then counts the number of detection targets, identifies specific individuals, and judges the individual state. Simultaneously, this paper intercepts candidate subregions from the scene image and then inputs the subregion image to the detector to determine whether the candidate region image is a detection target and formulate corresponding countermeasures. In addition, on the basis of the existing 3D mesh model stitching and editing method, this paper proposes a grid splicing and fusion method based on the idea of partial reuse of the model to calculate the result of the target. Finally, this paper designs experiments to verify the performance of the model. The research results show that the model constructed in this paper is effective.
Anti-Toxoplasma Effects of Dracocephalum Polychaetum Essential Oil
Authors: Khamesipour Faham , Pourmohammad Amirhossein , Jafarian-Dehkordi Mohsen
Published: July 2022

Background. Toxoplasma gondii is a common parasitic disease with a cosmopolitan prevalence, causing severe health problems. Although chemotherapy for toxoplasmosis is readily available, most have side effects. Objectives. This study assesses the Dracocephalum polychaetum essential oil against T. gondii activity. In vitro, the anti-Toxoplasma effects of D. polychaetum essential oils with different concentrations were evaluated. Methods. In the present study, T. gondii RH strain tachyzoites were exposed to D. polychaetum essential oil, and their viability effect on the parasite was evaluated. The viability test of tachyzoites was performed by using the staining method trypan blue in vitro. The inhibitory effect of D. polychaetum extract on T. gondii RH strain tachyzoites in the Vero cell line was evaluated. Results. D. polychaetum has valuable efficacy in vitro, outperforming pyrimethamine and sulfadiazine at 30 and 90 minutes after exposure (

p
<
0.05

). D. polychaetum essential oil showed anti-Toxoplasma activity in the cell line (IC50: 241.7 μg/mL). After T. gondii-infected Vero cells had been incubated with different concentrations of the D. polychaetum essential oil, their viability decreased in a dose-dependent manner. Conclusions. In conclusion, D. polychaetum extract as an herbal medicine might be a valuable alternative to routine chemotherapy for toxoplasmosis.
Local and Distributed fMRI Changes Induced by 40 Hz Gamma tACS of the Bilateral Dorsolateral Prefrontal Cortex: A Pilot Study
Authors: Mencarelli Lucia , Monti Lucia , Romanella Sara , Neri Francesco , Koch Giacomo , Salvador Ricardo , Ruffini Giulio , Sprugnoli Giulia , Rossi Simone , Santarnecchi Emiliano
Published: July 2022

Over the past few years, the possibility of modulating fast brain oscillatory activity in the gamma (γ) band through transcranial alternating current stimulation (tACS) has been discussed in the context of both cognitive enhancement and therapeutic scenarios. However, the effects of tACS targeting regions outside the motor cortex, as well as its spatial specificity, are still unclear. Here, we present a concurrent tACS-fMRI block design study to characterize the impact of 40 Hz tACS applied over the left and right dorsolateral prefrontal cortex (DLPFC) in healthy subjects. Results suggest an increase in blood oxygenation level-dependent (BOLD) activity in the targeted bilateral DLPFCs, as well as in surrounding brain areas affected by stimulation according to biophysical modeling, i.e., the premotor cortex and anterior cingulate cortex (ACC). However, off-target effects were also observed, primarily involving the visual cortices, with further effects on the supplementary motor areas (SMA), left subgenual cingulate, and right superior temporal gyrus. The specificity of 40 Hz tACS over bilateral DLPFC and the possibility for network-level effects should be considered in future studies, especially in the context of recently promoted gamma-induction therapeutic protocols for neurodegenerative disorders.
Pavement Crack Extraction Method from Mobile Laser Scanning Point Cloud
Authors: Phan Anh Thu Thi , Huynh Thi Ngoc
Published: July 2022

The automatic detection of cracks in the road surface is of great significance for maintaining the road surface to ensure the safety of moving vehicles. The Hokuyo UTM 30 LX 2D laser scanner in this study is used to observe the road surface containing two cracks and distress areas. As a result, dense point clouds are created. The road surface is automatically extracted from the point clouds based on the geometry of the two curb lines. The normal vector of the points is calculated based on the principal component analysis method. Points belonging to cracks and zones of distress are extracted from the intensity gradient and the inclination angle between the two normal vectors of the neighboring points and then converted to binary images. The crack edges are extracted based on the Sobel operator. Although salt‐and‐pepper spots due to crack points extraction using intensity gradient affect the definition of crack edges, especially small cracks, large cracks and distress areas are extracted clearly. Research results show that reflectance intensity and elevation variation combination lead to the efficiency of crack extraction and distress area.
Accurate Detection of Intelligent Running Posture Based on Artificial Intelligence Sensor
Authors: Zhang Chenguang , Cheng Kun
Published: July 2022

In order to solve the problem of low accuracy of human posture recognition during motion, the author proposes a human posture recognition and detection method based on multiple sensors. The method uses acceleration sensor, angular velocity sensor, and single-chip microcomputer to collect data; uses time domain and frequency domain analysis methods to analyze the collected data; and then uses Bayesian classifier to classify and identify the current motion posture of the human body. The obtained results are as follows: in the traditional method, with the increase of subjects, the accuracy of the classification method continues to decline; when the number of subjects reaches 50, the accuracy rate is only 60%; in the experiment, the zero crossing times of the acceleration signal axis are selected, and the axis area of the angular velocity signal is used as the characteristic item to distinguish the two different attitudes of going upstairs and going downstairs; the discrimination can reach about 90%. The authors combine the data collected by the acceleration sensor and the angular velocity sensor to perform feature extraction and classification, and the classification accuracy can reach more than 95%. It is proved that the method proposed by the authors can perform human gesture recognition very quickly and has a high accuracy rate.
Impact of Depressurizing Boreholes on Energy Dissipation in Deep Roadway
Authors: Wang Meng , Li Zhixue , Xu Yalong , Li Zhenhua , Yuan Ruifu , Zhao Hongchao , Li Guodong
Published: July 2022

Depressurizing borehole drilling is an effective approach to control the large deformation of deep roadway. It can transfer the high stress in the proximity of the roadway into the deep stable rock masses. However, it should be noted that the borehole drilling will inevitably cause the secondary damage to roadway. To determine the parameters of depressurizing boreholes, the degree of the secondary damage must be evaluated properly. Given that the rock mass failure is an unstable phenomenon driven by energy, it is of great use to reveal the disturbing impact of depressurizing boreholes on the roadway stability from the angle of energy dissipation. This is much more consistent with the failure nature of rock mass. Hence, an integrated method of laboratory test, numerical simulation, and theoretical analysis was used to study the disturbing effect of depressurizing boreholes on roadway energy dissipation. The equations of elastic energy and dissipated energy of rock cell grid were derived based on the energy principle and finite-difference algorithm, which was implemented into FLAC3D software by the FISH language. The numerical stress-strain and dissipated energy-strain curves of rock samples were verified by experimentally obtained data, and the whole deformation path from roadway excavation to instability was back-analyzed by the dissipated energy evolution. Based upon the energy model, the ratio of borehole diameter

D

to row spacing

R

(

D
/
R

) was selected as the variable to analyze the influence of borehole parameters on the depressurizing effect. The varying

D
/
R

leads to three depressurizing states: insufficient depressurization, sufficient depressurization, and overdepressurization. Increasing

D
/
R

will make the roadway transfer from insufficient depressurization to sufficient depressurization and finally to overdepressurization. The sufficient depressurizing state could be realized by adjusting the borehole

D
/
R

value, which is of great use to the roadway control. The

D
/
R

values of 1 : 6 to 1 : 2 were proposed for the test roadway, and

D
/
R
=
1
:
6

was applied in the field test, which achieved a well roadway control effect.
Intravascular Lithotripsy for Underexpanded Stent in Heavily Calcified Coronary Artery Disease
Authors: Raxwal Tejas , Balhara Cauvery , Parekh Dipak
Published: July 2022

Objective. Can intravascular lithotripsy safely modify calcium in an underexpanded stent and result in optimal expansion and improved outcome? Coronary artery calcification results in difficulty with stent delivery and expansion and is associated with adverse outcomes. Intravascular lithotripsy (IVL) by delivering acoustic pressure waves modifies calcium plaque that improve vessel compliance resulting in optimizing stent deployment. Results. A 63-year-old patient presented with acute coronary syndrome with symptoms of unstable angina who underwent angiography that showed calcified right coronary artery which was treated with balloon angioplasty and stenting with drug eluting stent. However, after multiple inflations with noncompliant balloon, the patient was noted to have persistent residual in stent stenosis of 70%. Stenotic lesion in poorly expanded stent was treated with Shockwave C2 Coronary Intravascular Lithotripsy catheter resulting in 0% residual stenosis. The patient was followed for major adverse cardiovascular events at 30 days and 12 months. The patient remained MACE free at 30 days and 12 months. Conclusions. Coronary IVL safely and effectively facilitated stent expansion in severely calcified lesion in a poorly expanded stent with MACE free at 12-month follow-up.
Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress
Authors: Srivastava Jyoti , Routray Sidheswar , Ahmad Sultan , Waris Mohammad Maqbool
Published: July 2022

Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which is exponentially gaining researchers’ attention with every passing day because of its wide applicability in Smart Healthcare systems (SHS). Because of the current pandemic situation, it is highly risky for an individual to visit the doctor for every small problem. Hence, using IoMT devices, we can easily monitor our day-to-day health records, and thereby initial precautions can be taken on our own. IoMT is playing a crucial role within the healthcare industry to increase the accuracy, reliability, and productivity of electronic devices. This research work provides an overview of IoMT with emphasis on various enabling techniques used in smart healthcare systems (SHS), such as radio frequency identification (RFID), artificial intelligence (AI), and blockchain. We are providing a comparative analysis of various IoMT architectures proposed by several researchers. Also, we have defined various health domains of IoMT, including the analysis of different sensors with their application environment, merits, and demerits. In addition, we have figured out key protocol design challenges, which are to be considered during the implementation of an IoMT network-based smart healthcare system. Considering these challenges, we prepared a comparative study for different data collection techniques that can be used to maintain the accuracy of collected data. In addition, this research work also provides a comprehensive study for maintaining the energy efficiency of an AI-based IoMT framework based on various parameters, such as the amount of energy consumed, packet delivery ratio, battery lifetime, quality of service, power drain, network throughput, delay, and transmission rate. Finally, we have provided different correlation equations for finding the accuracy and efficiency within the IoMT-based healthcare system using artificial intelligence. We have compared different data collection algorithms graphically based on their accuracy and error rate. Similarly, different energy efficiency algorithms are also graphically compared based on their energy consumption and packet loss percentage. We have analyzed our references used in this study, which are graphically represented based on their distribution of publication year and publication avenue.
Secure Clustering Strategy Based on Improved Particle Swarm Optimization Algorithm in Internet of Things
Authors: Bao Zhanbiao
Published: July 2022

This paper proposes a secure clustering strategy based on improved particle swarm optimization (PSO) in the environment of the Internet of Things (IoT). First, in the process of cluster head election, by considering the residual energy and load balance of nodes, a new fitness function is established to evaluate and select better candidate cluster head nodes. Second, the optimized adaptive learning factor is used to adjust the location update speed of candidate cluster head nodes, expand the local search, and accelerate the convergence speed of global search. Finally, in the stage of forwarding node election and data transmission, in order to reduce the energy consumption of forwarding nodes, each cluster head node elects a forwarding node among the ordinary nodes in its cluster, so that the elected forwarding nodes have the optimal energy and location relationship. Experiments show that the proposed method effectively prolongs the network lifetime compared with the comparison methods. The average node degree of the proposed method is less than 2.5.
Analysis of Influencing Parameters of the Improved Model for Rainfall Infiltration in Unsaturated Tailings Soil
Authors: Yang Qingchao , Hao Zhe , Cheng Wenjing , Lei Shengyou , Teng Da , Zhang Ying , Wang Xiaoming , Zhang Qian
Published: July 2022

The rainfall infiltration analysis method is an important method for slope stability forecast and prevention. Slope angle and unsaturated soil layers are not shown in the conventional Green‐Ampt (GA) infiltration model. In this paper, based on the GA model of rainfall infiltration in tailings slopes, two aspects of slope angle and the proportion of the transition layer of the wet layer are modified. The rainfall infiltration test of unsaturated tailing soil was conducted using a self‐developed large‐size tailing slope model test device. The results of GA model, improved GA model, and Richards’ equation calculation model are compared. The results show that the difference between the three models is small in the free infiltration stage, but the infiltration rate is lower than that of the GA model. With the gradual increase of rainfall time into the ponding infiltration stage, the expansion depth and infiltration rate of the wetting front of the improved GA model and Richards’ equation are greater than those of the GA model. The difference between the GA model and the improved GA model and Richards’ equation for the extended depth of wetting front increases with the increase of rainfall duration, while the difference of infiltration rate changes in the opposite trend. The results of the improved GA model and Richards’ equation to calculate the expansion depth and infiltration rate of wetting fronts are consistent, and the difference basically tends to stabilize with the increase of rainfall ephemeris. The results of the improved GA model are closer to the measured data, which can provide a reference for analyzing the rainfall infiltration pattern of open pit tailing dams and slope stability research. On the basis of the improved GA model, the influence of slope angle, rain intensity, initial water content, and saturation infiltration coefficient on rainfall infiltration was analyzed, and the analysis of parameter sensitivity indexes showed that slope inclination and initial water content had a greater influence on the model.
Persistent Deficits after an Achilles Tendon Rupture: A Narrative Review
Authors: Hoeffner Rikke , Svensson Rene B. , Bjerregaard Nicolai , Kjær Michael , Magnusson Stig Peter
Published: July 2022

Persistent muscle weakness, tendon elongation, and incomplete return to preinjury level are frequent sequelae after acute Achilles tendon rupture, and evidence-based knowledge of how to best rehabilitate the injury is largely absent in the literature. The objective of this review is to illuminate and discuss to what extent an Achilles tendon rupture affects muscle, tendon, and function when assessed with the Achilles tendon total rupture score (ATRS), muscle strength, muscle cross-sectional area, tendon length, and the heel-rise test. The patient-reported outcome measures (PROM) data in the literature suggest that the recovery takes longer than 6 months (ATRS, 70 out of 100), that one-year postinjury, the ATRS only reaches 82, and that this does not appear to noticeably improve thereafter. Loss of muscle mass, strength, and function can in some cases be permanent. Over the first 6 months postinjury, the tendon undergoes elongation, which appears to be negatively correlated to heel-rise function. More recently, there has been some interest in how muscle length and excursion is related to the reduced function. The available literature indicates that further research is highly warranted and that efforts to restore normal tendon length may improve the likelihood of returning to preinjury level after an Achilles tendon rupture.
Interruption of the Right Pulmonary Artery in a Neonate
Authors: Khalilian Mohammadreza , Langroudi Taraneh Faghihi , Dabbagh Ali , Tehrani Ramin Baghaei , Tahouri Tahmineh
Published: July 2022

Interruption of the right pulmonary artery is a very rare anomaly which can be associated with other congenital heart lesions or can occur in isolation. Clinical presentations of the unilateral interruption of a pulmonary artery are varied including pulmonary hypertension, recurrent infection, dyspnea, exercise intolerance, hemoptysis, and chest pain. Less commonly, patients may be asymptomatic. Diagnosis of this anomaly is made by echocardiography and CT angiography as well as cardiac MRI. Treatment options are medical versus surgical management and often recommended in symptomatic patients with pulmonary hypertension, recurrent infection, and hemoptysis. Herein, we describe a very rare case of right pulmonary artery originating from the right subclavian artery in a 12-day-old neonate.