bluuebunny/crossref_metadata_2025 huggingface dataset:
Proinflammatory Cytokine Expression in Apical Periodontitis from Diabetic Patients
Authors: Borgo Sarmento Estéfano , Helena Teixeira de Lima Ribeiro Andrade Rosana , Cristina Gomes Cinthya , Ramôa Pires Fábio , Bastos Valente Maria Isabel , Mafra Moreno Adalgiza , Orsini Marco , Carvalho Ferreira Dennis , Souza Gonçalves Lucio , Armada Luciana
Published: February 2023

Diabetes mellitus has been regarded as a condition capable of influencing the evolution of periapical lesions. Therefore, this study evaluated the immunoexpression of IL-1β, TNF-α, and IL-17 in apical periodontitis from type 2 diabetic patients through immunohistochemistry. Twenty-six periapical lesions were selected, and the images obtained through immunohistochemistry reactions were analyzed. The statistical significance was set at

p
<
0.05

. IL-1β expression was considered focal (54%), weak to moderate (38%), and strong (8%) in diabetics, and focal (46%), weak to moderate (31%), and strong (23%), in controls. TNF-α was focal (85%) and weak to moderate (15%) in diabetics, and focal (92%) and weak to moderate (8%), in controls. IL-17 was focal (8%), weak to moderate (46%), and strong (46%) in diabetics, and focal (62%), weak to moderate (8%), and strong (30%), in controls. The quantitative analysis revealed greater expression of IL-17, with a significant difference between IL-17 × IL-1β × TNF-α

p
=
0.0009

in the diabetic group. The cytokines IL-1β and TNF-α did not express statistical differences between the tested groups. The IL-17 showed higher immunoexpression in the diabetic group

p
=
0.047

, which may suggest higher bone resorption activity in chronic apical periodontitis in this group of patients.
Fluorescence Turns on-off-on Sensing of Ferric Ion and L-Ascorbic Acid by Carbon Quantum Dots
Authors: Msto Ravin K. , Othman Hazha Omar , Al-Hashimi Baraa R. , Salahuddin Ali Diyar , Hassan Dlshad H. , Hassan Aso Q. , Smaoui Slim
Published: February 2023

This study used a hydrothermal approach to create a sensitive and focused nanoprobe. Using an “on-off-on” sensing mechanism, the nanoprobe was employed to detect and quantify ferric ions and L-ascorbic acid. Synthesis of the carbon quantum dots was achieved with a single hydrothermal step at 180°C for 24 hours using hot pepper as the starting material. The prepared CQDs showed high fluorescence with a quantum yield of 30% when excited at 350 nm, exhibiting excitation-dependent fluorescence. The emission of the CQDs can be quenched by adding ferric ions, which can be attributed to complex formation leading to nonradiative photoinduced electron transfer (PET). Adding L-ascorbic acid, which can convert ferric ions into ferrous ions, break the complex, and restore the fluorescence of CQD. The linear range and LOD were (10–90) μM and 1 μM for ferric ions, respectively, and L-ascorbic acid’s linear range was (5–100) μM while LOD was 0.1 μM quantification of both substances was accomplished. In addition, orange fruit was used as an actual sample source for ascorbic acid analysis, yielding up to 99% recovery.
An Improved Wake Vortex‐Based Inversion Method for Submarine Maneuvering State
Authors: Kong Dechuan , Yang Zutao , Cai Lei , Chai Haojie
Published: February 2023

As the noise reduction performance of submarines continues to improve, it is difficult to detect and track submarines through acoustic detection techniques. Therefore, nonacoustic submarine detection techniques are becoming more and more important. The submarine movement will leave a wake vortex, and the information of the wake vortex can be used to invert the maneuvering state of the submarine. However, the wake vortex is constantly dissipated in the evolution process, and the strength of the wake vortex is constantly reduced, resulting in the gradual weakening of the characteristics of the wake vortex, which makes the inversion of submarine operating state difficult and less accurate. In order to solve the above problems, this paper proposes an improved wake vortex‐based inversion method for submarine maneuvering state. Firstly, a random finite set of submarine wake vortex observation features is established to obtain the feature with the highest correlation degree with submarine maneuvering state in the random finite set. Secondly, the multiscale fusion module and attention mechanism are used to re‐encode the weak features of the wake vortex image, and the salient features of the wake vortex image are extracted. Finally, the manipulation state of the wake vortex image is retrieved by the extracted salient features. The experimental results show that the average inversion accuracy of the proposed algorithm is improved by 1.27% in terms of manipulating state inversion of weak feature wake vortex images. The algorithm in this paper can realize the inversion of submarine maneuvering state in the case of weak submarine wake vortex image features and incomplete feature information. It provides the basis for the detection technology based on the submarine wake characteristics.
An Intersatellite Link Assignment Design for Megaconstellation Based on NSGA-II
Authors: Zhai Yadi , Hu Yihua , Wang Yong , Lin Zhi , Zhang Yan , Zhao Qingsong , Li Dong
Published: February 2023

The exploitation of intersatellite links (ISLs) makes the LEO satellite constellation based Internet service widely favored due to its advantages of low-latency and high-speed communications. However, considering the time-varying network topology, limited on-board resources, and high node failure probability, the design of link assignment has become one of the key challenges for the future megaconstellation. To solve this problem, we adopt the idea of modified finite state automaton (FSA) to model the LEO satellite network and use nondominated sorting genetic algorithm (NSGA-II) to optimize the minimum residual capacity and the maximum transmission delay. The simulation results show that our method is more invulnerable and flexible, which is fit for megaconstellations. This work can provide comprehensive guidance on intersatellite link assignment for future megaconstellations.
TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes)
Authors: Tannous Majd E. , Ramadan Wassim H. , Rajab Mohanad A.
Published: February 2023

Many unstructured documents contain segments with specific topics. Extracting these segments and identifying their topics helps to access the required information directly. This can improve the quality of many NLP applications such as information extraction, information retrieval, summarization, and question answering. Resumes (CVs) are unstructured documents that have diverse formats. They contain various segments such as personal information, experience, and education. Manually processing resumes to find the most suitable candidates for a particular job is a difficult task. Due to the increased amount of data, it has become very necessary to manipulate resumes by computer to save time and effort. This research presents a new algorithm named TSHD for topic segmentation based on headings detection. We apply the algorithm to extract resume segments and identify their topics. The proposed TSHD algorithm is accurate and addresses many weaknesses in previous studies. Evaluation results show a very high F1 score (about 96%) and a very low segmentation error (about 2%). The algorithm can be easily adapted to deal with other textual domains that contain headings in their segments.
The Perspectives of Surrogates and Healthcare Providers Regarding SDM (Shared Decision-Making)
Authors: Lu Qing , Ji Juan , Lu Xiaoyan , Yin Qionghua , Yang Yiqun
Published: February 2023

The purpose of this paper is to explore the attitudes of surrogacy and medical service providers toward SDM and to identify the barriers and promoters of SDM in this population. To this end, we conducted a qualitative study of surrogacy and medical service providers in the First Affiliated Hospital of Soochow University using semistructured interviews. Thirty participants (11 agents, 12 ICU physicians, and 7 ICU nurses) were interviewed. The three stakeholders showed different attitudes toward SDM. They reported barriers to SDM, including insufficient cognition of decision-makers, high expectations, negative psychological experiences, previous decision-making experiences, excessive workload, heavy financial burden, and lack of decision AIDS. They reported facilitators of SDM, including trust, effective communication, decision support, value clarification, outcome commitment, and continuous service. This study explored the different attitudes of the three stakeholders and identified various barriers and facilitators of SDM. It highlights the need to develop localised decision AIDS and to involve agents and nurses more in the decision-making process. Therefore, this paper identifies barriers and facilitators of SDM in this population. In addition, the study identified various barriers and facilitators to SDM and highlighted the need to develop localised decision AIDS and involve agents and nurses more in the decision-making process. Finally, the barriers and facilitators of SDM are established. The paper also shows that the development of localized decision AIDS and greater involvement of agents and nurses in the decision-making process are integral to good treatment outcomes.
LSTM‐DGWO‐Based Sentiment Analysis Framework for Analyzing Online Customer Reviews
Authors: Barik Kousik , Misra Sanjay , Ray Ajoy Kumar , Bokolo Anthony
Published: February 2023

Sentiment analysis furnishes consumer concerns regarding products, enabling product enhancement development. Existing sentiment analysis using machine learning techniques is computationally intensive and less reliable. Deep learning in sentiment analysis approaches such as long short term memory has adequately evolved, and the selection of optimal hyperparameters is a significant issue. This study combines the LSTM with differential grey wolf optimization (LSTM‐DGWO) deep learning model. The app review dataset is processed using the bidirectional encoder representations from transformers (BERT) framework for efficient word embeddings. Then, review features are extracted by the genetic algorithm (GA), and the optimal review feature set is extracted using the firefly algorithm (FA). Finally, the LSTM‐DGWO model categorizes app reviews, and the DGWO algorithm optimizes the hyperparameters of the LSTM model. The proposed model outperformed conventional methods with a greater accuracy of 98.89%. The findings demonstrate that sentiment analysis can be practically applied to understand the customer’s perception of enhancing products from a business perspective.
Modeling and Fitting Two‐Way Tables Containing Outliers
Authors: Farnsworth David L.
Published: February 2023

A model is proposed for two‐way tables of measurement data containing outliers. The two independent variables are categorical and error‐free. Neither missing values nor replication is present. The model consists of the sum of a customary additive part that can be fit using least squares and a part that is composed of outliers. Recommendations are made for methods for identifying cells containing outliers and fitting the model. A graph of the observations is used to determine the outliers’ locations. For all cells containing an outlier, replacement values are determined simultaneously using a classical missing‐data tool. The result is called the adjusted table. The inserted values are such that, when a mean‐based fitting of the adjusted table is performed, the residuals in those cells are zero. The outlying portion of the observation in each of those cells is the difference of the observation and the replacement value. In this way, outliers are removed from further analyses of the adjusted table. This is particularly helpful because outliers can greatly contaminate and alter computations and conclusions. Subsequently, the causes of the outliers might be determined, and statistical estimation and testing can be implemented on the adjusted table.
Inhibition of VDAC1 Rescues Aβ1-42-Induced Mitochondrial Dysfunction and Ferroptosis via Activation of AMPK and Wnt/β-Catenin Pathways
Authors: Zhou Xinpei , Tang Ximin , Li Tao , Li Dandan , Gong Zhiting , Zhang Xiujun , Li Yanjiao , Zhu Jianhua , Wang Yong , Zhang Bensi
Published: February 2023

Beta-amyloid (Aβ) accumulation in the brains of Alzheimer’s disease (AD) patients leads to mitochondrial dysfunction and ferroptosis in neurons. Voltage-dependent anion channel 1 (VDAC1) is a major protein in the mitochondrial outer membrane. It has been reported that VDAC1 associated with mitochondrial dysfunction and ferroptosis. However, the mechanism by which VDAC1 regulates mitochondrial dysfunction and ferroptosis of neurons in AD remains unclear. This study is aimed at investigating the mechanism of action of VDAC1 in mitochondrial dysfunction and ferroptosis in neurons of the AD model. In this study, we determined cell viability after treatment with Aβ1-42 via the MTT assay. The SOD, MDA, ROS, and MMP production was measured via the SOD kit, MDA kit, DCFDA staining, and JC-1 staining. The memory abilities of mice were detected via the Morris water maze test. The expression of AMPK/mTOR, Wnt/β-catenin, and GPX4 regulated by VDAC1 was detected via western blotting. Our present study showed that PC12 cells had decreased cell viability, increased LDH release, and decreased GPX4 expression after Aβ1-42 treatment. Meanwhile, Aβ1-42 induced MMP and SOD downregulation and increased MDA and ROS generation in PC12 cells. In addition, the expression of VDAC1 is increased in the brain tissue of AD mice and Aβ1-42-treated PC12 cells. Further investigation of the role of VDAC1 in regulating AD found that all effects induced by Aβ1-42 were reversed by inhibition of VDAC1. Additionally, inhibition of VDAC1 activates the AMPK/mTOR and Wnt/β-catenin pathways. Taken together, these findings demonstrate that inhibition of VDAC1 alleviates mitochondrial dysfunction and ferroptosis in AD neurons by activating AMPK/mTOR and Wnt/β-catenin.
Study on Damage Evolution of Tunnel Lining under Strike-Slip Fault Movements
Authors: Du Jiaxuan , Yan Songhong , Sun Weiyu , Cao Mingxing , Li Yuxiang , Yang Kang
Published: February 2023

For the purpose of investigating the damage mechanism and failure characteristics of tunnel lining under the strike-slip fault movements, a three-dimensional elastoplastic finite element model was established in the present study including a railway tunnel across an active strike-slip fault. With the assistance of this numerical model, the tensile and compressive damage, plastic strain development process, and shear failure of the secondary lining at different fault plane positions were analyzed, and further, the damage laws of the secondary lining at different fault displacement and tunnel-fault intersection angles were summarized. The simulation results showed that when the maximum imposed fault displacement is 30 cm, the most unfavorable fault plane appears at the junction between the moving block and the fracture zone, and serious tensile cracks and shear failures occur on each fault rupture plane. Besides, the maximum plastic strain and compressive damage are distributed in the vault and invert. In addition, with the increase of the fault displacement, the axial strain of the secondary lining increases as well, of which the main part shows the tensile strain. Interestingly, with the decrease of the crossing angle, the axial strain gradually changes from the tensile strain to the compressive strain, which is consistent with the direction of the fault angle. Furthermore, the tensile and compressive damage of the secondary lining increases with the increase of movement distance. At the same time, the tensile damage along the tunnel ring develops, and the compressive damage propagates mainly in tunnel vault and invert. With the decrease of the crossing angle, the degree of the tensile damage in the lining reduces, as well as its range. The compressive damage area of the lining develops from the vault and inverted arch to the tunnel wall on both sides, which has a trend of penetrating the side walls on both sides. The distribution area and maximum value of the overall lining damage indices in tensile (OLDT) and overall lining damage indices in compressive (OLDC) increase with the increase of fault movement distance. With the decrease of the crossing angle, the distribution range and maximum value of OLDT decrease, and the distribution range of OLDC increases, while the maximum value basically remains the same. The research results of the present work can provide reference for the antidislocation design of railway tunnels crossing strike-slip faults.
Forecasting Travel Sentiment under the Shock Effects of COVID-19 and Vaccination Using Grey Prediction Models
Authors: Lee Cheng-Wen , Kong Peiyi
Published: February 2023

The tourism industry has become a major contributor to the economic growth. However, because of the outbreak of the coronavirus disease (COVID-19) pandemic, the year 2020 became an extremely difficult year for the global tourism industry. Since the development of the tourism industry depends largely on changes in travel sentiment, it is important to analyze these changes in light of the pandemic. To determine the development trends of travel sentiment, a hybrid grey prediction model was used to predict travel sentiment globally and in the top 10 destination countries considering the shock effect of COVID-19 and vaccination. The results showed that the grey prediction models integrated with residual modification model contributed to improving the prediction accuracy. In addition, COVID-19 and vaccination were found to have opposite effects on travel sentiment. Based on the predictions, governments should strengthen pandemic prevention and control and administer vaccines to restore travel sentiment and promote tourism recovery.
Frequency-Based Cable Tension Identification Using a Nonlinear Model with Complex Boundary Constraints
Authors: Zhang Wen-ming , Wang Zhi-wei
Published: February 2023

Accurate estimation of the cable force affects the bridges’ long-term integrity and serviceability directly. The frequency method is often used for cable tension testing in bridge engineering. However, the generally used cable tension calculation formulae are based on “ideal hinge” or “ideal fixed” boundary conditions. The inclination, bending stiffness, and sag-extensibility of the cable are not properly considered, which results in non-negligible errors. A frequency-based method for precisely determining the tensile force of a cable with unknown rotational and support constraint stiffnesses at the boundary was proposed. A nonlinear mathematical model of the vibration of the cable was established. In addition to parameters such as inclination, sag, and bending stiffness, the effects of unknown rotational and support constraint stiffnesses at both ends of the cable were also considered. The finite difference method was employed to discretize and solve the mode equation of the cable vibration. A frequency-based sensitivity-updating algorithm was applied that can identify simultaneously several system parameters using multiorder measured natural frequencies. Calculation of the matrix eigenvalue derivatives was the key to obtaining the system sensitivity matrix. Numerical examples indicated that the algorithm can be used efficiently and precisely to identify multiple system parameters of the cable, including its tension, bending stiffness, and boundary constraint stiffnesses.
The Prevalence of Bacteria Commonly Related to the Production of Mussels and Oysters in Saldanha Bay
Authors: Shuping Likentso Sylvia , Human Izanne Susan , Lues Ryk , Paulse Arnelia Natalie
Published: February 2023

Bivalve molluscs are a good source of high quality protein and perform important ecological functions. Their ability to bioaccumulate materials in their soft tissues makes them suitable aquatic species for biomonitoring of environmental conditions. The discharge of treated and untreated sewage into the bivalve-growing areas is a concern. The aim of this study was to investigate the prevalence of bacterial microbiota in shellfish farms in Saldanha Bay harbour using pathogens commonly associated with shellfish-related foodborne disease outbreaks. Seawater and mussel samples were collected from five sampling points located in three sampling locations. Oyster samples were collected from the harbour deck immediately after harvesting by the farmers. The most probable number (MPN) method was used to enumerate E. coli and faecal coliforms. Cultural methods were used for the detection of Salmonella and Vibrio spp. The E. coli concentrations for 15 March and 14 July are <0.18 MPN/100 ml at all sampling sites and for 25 August, <0.18 MPN/100 ml for all sampling sites except sampling site SP2 (0.2 MPN/100 ml). Spikes were observed on the total MPN counts in winter. Salmonella and Vibrio spp. were not detected. However, other bacterial species were identified through their phenotypic profile using the VITEK 2 system. Based on the low E. coli-MPN concentrations, the study concluded that the molluscs were safe for human consumption. Further studies need to be conducted on the bacterial species identified.
Giant Cell Arteritis Presenting with Mania, Psychosis, and Cognitive Dysfunction: A Case Report
Authors: Latvala Heidi Madeleine , Reitan Solveig Klæbo , Vaaler Arne Einar
Published: February 2023

Background. Giant cell arteritis (GCA) is an autoimmune vasculitis affecting medium- and large-sized arteries. Vascular inflammation may lead to narrowing of the arterial lumen, and acute occlusion may result in vision loss and stroke. The classical symptoms include headache, fever, and jaw claudication. However, there is an increasing recognition of atypical presentations. Case Presentation. We report a case of a 70-year-old woman presenting with fluctuating manic symptoms and confusion, in addition to headache and musculoskeletal pain. After diagnosis of GCA, treatment with corticosteroids gradually improved the somatic symptoms. Conclusion. Corticosteroids led to a temporary exacerbation of manic symptoms, which improved after 3 to 4 weeks of continuous treatment, indicating that the symptoms were most likely associated with GCA. The patient manifested with clinical features and a clinical course that has, to our knowledge, not been described or published before. Therefore, GCA may be an underdiagnosed disease in psychiatric populations and should be considered in case of atypical, new-onset psychiatric disorders in the elderly.
A PAX-8-Positive Female Urethral Adenocarcinoma, Intestinal-Type: A Case Report with Diagnostic Challenges and a Review of the Literature
Authors: Torrez Mary M. , Alba Frances M. , Zhou Jain
Published: February 2023

Female urethral adenocarcinoma (FUA) is extremely rare. It is an aggressive malignancy, and clear cell and columnar/mucinous (“intestinal”) represent the two primary histologic subtypes. Diagnosis is often delayed in patients because of their vague symptomatology; hence, they present with an advanced disease and a poor prognosis. The rarity of FUA brings challenges when determining treatment and management, and treatment guidelines for various stages are lacking. We report an intestinal-type FUA that developed from inflammation-related metaplasia in urethral diverticulum with positive paired box 8 (PAX-8) staining. In addition to intestinal-type FUA being extremely rare, this particular entity exhibiting PAX-8 positivity has not been previously described, to the author’s best knowledge. The present report highlights the importance of clinical and radiological assessment as well as histomorphologic and immunophenotypic features for an accurate diagnosis of this rare and aggressive malignancy.
Overexpression of FoxM1 Enhanced the Protective Effect of Bone Marrow-Derived Mesenchymal Stem Cells on Lipopolysaccharide-Induced Acute Lung Injury through the Activation of Wnt/β-Catenin Signaling
Authors: Luo Yuling , Lin Shan , Mao Xueyan , Yang Yongqiang , He Wanmei , Guo Manliang , Zeng Mian
Published: February 2023

Background. Mesenchymal stem cell- (MSC-) based cell and gene therapies have made remarkable progress in alleviating acute lung injury/acute respiratory distress syndrome (ALI/ARDS). However, the benefits of Forkhead box protein M1 (FoxM1) gene-modified MSCs in the treatment of ALI have not been studied. Methods. We evaluated the therapeutic effects of FoxM1-modified MSCs in ALI mice induced by lipopolysaccharide (LPS) by quantifying the survival rate, lung weight ratio (wet/dry), and contents of bronchoalveolar lavage fluid. In addition, microcomputed tomography, histopathology, Evans Blue assay, and quantification of apoptosis were performed. We also explored the underlying mechanism by assessing Wnt/β-catenin signaling following the treatment of mice with FoxM1-modified MSCs utilizing the Wnt/β-catenin inhibitor XAV-939. Results. Compared with unmodified MSCs, transplantation of FoxM1-modified MSCs improved survival and vascular permeability; reduced total cell counts, leukocyte counts, total protein concentrations, and inflammatory cytokines in BALF; attenuated lung pathological impairments and fibrosis; and inhibited apoptosis in LPS-induced ALI/ARDS mice. Furthermore, FoxM1-modified MSCs maintained vascular integrity during ALI/ARDS by upregulating Wnt/β-catenin signaling, which was partly reversed via a pathway inhibitor. Conclusion. Overexpression of FoxM1 optimizes the treatment action of MSCs on ALI/ARDS by inhibiting inflammation and apoptosis and restoring vascular integrity partially through Wnt/β-catenin signaling pathway stimulation.
Revealing the Impact of High Current Overcharge/Overdischarge on the Thermal Safety of Degraded Li-Ion Batteries
Authors: Qian Liqin , Yi Yahui , Zhang Wenjing , Fu Chenlong , Xia Chengyu , Ma Tiancai
Published: February 2023

To analyze the impact of two commonly neglected electrical abuse operations (overcharge and overdischarge) on battery degradation and safety, this study thoroughly investigates the high current overcharge/overdischarge effect and degradation on 18650-type Li-ion batteries (LIBs) thermal safety. Based on the temperature-voltage behavior and induced thermal runaway (TR) mechanisms, the overcharge and overdischarge-triggered TR processes are divided into four and three stages. Furthermore, the degradation effect is analyzed by analyzing the incremental capacity-differential voltage curves. During the high current cycling process, lithium inventory decreases significantly. Besides, the active material decreases when the battery degrades to a certain level. Lithium plating is the primary reason for lithium inventory loss; the plated lithium grows with the increment of degraded/overcharged level. Besides, the dissolution and deposition affect the internal short circuit degree, which can be observed from the electrode potential and cell voltage value. Moreover, battery cells undergo different degradation degrees, and different current rates of charging/discharging exhibit similar temperature-rising trends during the adiabatic TR tests. However, with the degradation degree increase, battery capacity fades, TR becomes easier to be triggered by the high current rate, and TR reactions are severe. This study guides early quantitative detection, safer battery cell design, and enhanced thermal safety management.
Nonequilibrium Geometric No-Arbitrage Principle and Asset Pricing Theorem
Authors: Tang Wanxiao , Zhao Peibiao
Published: February 2023

We find a novel and intimate correspondence in the present paper between the martingale and one-parameter transformation group and develop a nonequilibrium geometric no-arbitrage principle to a frictional financial market via this correspondence. Further, we achieve a fundamental pricing theorem via a geometric pricing transform (generator). Finally, we derive that the nonequilibrium geometric no-arbitrage is equivalent to NFLVR in a frictionless financial market. In addition, we apply the nonequilibrium geometric no-arbitrage condition to a frictional financial market. At the end of this paper, a numerical example confirms the effectiveness of the nonequilibrium geometric no-arbitrage condition.
Combined Network Pharmacology and Molecular Docking to Verify the Treatment of Type 2 Diabetes with Pueraria Lobata Radix and Salviae Miltiorrhizae Radix
Authors: Mao Jingxin , Wang Guowei , Yang Lin , Tan Lihong , Tian Cheng , Tang Lijing , Fang Ling , Mu Zhenqiang , Zhu Zhaojing , Li Yan
Published: February 2023

Objective. To explore the potential molecular mechanism of Pueraria Lobata Radix (RP) and Salviae Miltiorrhizae Radix (RS) in the treatment of type 2 diabetes mellitus (T2DM) based on network pharmacology and molecular docking. Methods. The chemical constituents and core targets of RP and RS were searched by Traditional Chinese Medicine System Pharmacology (TCMSP); target genes related to T2DM were obtained through GeneCards database, component target network diagram was constructed, intersection genes of active compounds and T2DM were synthesized, protein‐protein interaction (PPI) relationship was obtained, and core targets were screened by using Cytoscape 3.7.2. Gene Ontology (GO) biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were analyzed utilizing R studio 4.0.4 according to David database. Based on molecular docking, the screened active components of RP and RS were verified by molecular docking with the core target using Discovery Studio 2019. Results. There were totally 92 components and 29 corresponding targets in the component target network of RP and RS drug pair, of which 6 were the core targets of RP and RS in the treatment of T2DM. Molecular docking results showed that the active compounds of puerarin, formononetin, tanshinone iia, and luteolin had better binding activity with AKT1, VEGFA, NOS3, PPARG, MMP9, and VCAM1, respectively. Among them, puerarin showed significant effects in activating NOS3 pathway and luteolin exhibited significant effects in activating MMP9 pathway, respectively. The main biological processes mainly including xenobiotic stimulus, response to peptide, gland development, response to radiation, cellular response to chemical stress, response to oxygen levels, and the main signal pathways include response to xenobiotic stimulus, cellular response to chemical stress, response to peptide, gland development, and response to oxygen levels. Conclusion. Network pharmacology is an effective tool to explain the action mechanism of Traditional Chinese Medicine (TCM) from the overall perspective. RP and RS pair could alleviate T2DM via the molecular mechanism predicted by the network pharmacology, which provided new ideas and further research on the molecular mechanism of T2DM.
Effect of Alleviating Fibrosis with EGCG‐Modified Bone Graft in Murine Model Depended on Less Accumulation of Inflammatory Macrophage
Authors: Yao Dengbo , Guo Jiang , Qin Tianyu , Chen Haibao , Jin Song
Published: February 2023

In response to current trends in the modification of guided bone regeneration (GBR) materials, we aimed to build upon our previous studies on epigallocatechin‐3‐gallate (EGCG) by immersing a commonly used bone graft primarily composed of hydroxyapatite (HA) in EGCG solution, expecting to obtain superior bone material integration after implantation. Bone grafts are commonly used for bone repair, in which the bone extracellular matrix is stimulated to promote osteogenesis. However, due to its profibrosis effect, this osteoconductive material commonly exhibits implant failure. In addition to providing a basic release profile of EGCG‐modified bone graft (E‐HA) to clarify the relationship between this material and the environment, we have examined the integration effect via subcutaneous implantation experiments. In this manner, we have assessed the aggregation of proinflammatory macrophages, the formation of fibrous capsules, and an enhanced cell viability observed in cultured RAW 264.7 cells. Among these results, we focus on proinflammatory macrophages due to their close relationship with fibrosis, which is the most important process in the immune response. Immunofluorescent staining results showed that E‐HA substantially compromised the formation of fibrous capsules in hematoxylin‐eosin‐stained sections, which exhibited less proinflammatory macrophage recruitment; meanwhile, the cell viability was improved. This work lays the foundation for future studies on GBR.
Spontaneous Lithiophilic and Lithium-Ion Conductive Functional Layer Formation Enabled by Solution-Casted Zinc Nitride for Highly Stable Lithium Metal Electrode in Carbonate Electrolyte
Authors: Kim Ki Jae , Leem Han Jun , Yu Jisang , Kim Hyun-seung
Published: February 2023

To improve the reversibility of the Li metal negative electrodes, the simultaneous formation of individually functionalized zinc metal and lithium nitride during the spontaneous conversion reaction of zinc nitride particle is conducted by casting of zinc nitride particles on the lithium electrode. Lithiophilic zinc metal reduces the nucleation polarization of the lithium electrode, whereas the highly ionic conductive and electronically insulating Li3N decreases the concentration polarization from the facile ion conduction and suppression of further electrolyte decomposition during Li plating and stripping. Both these sophisticated characteristics resulted in an improvement in the deposition morphology of lithium electrode, thereby enhancing the reversibility of lithium electrode. Consequently, the cycleability improvement of Li/LiNi0.8Co0.1Mn0.1O2 is achieved through the application of zinc nitride surface-treated lithium electrode.
Transient Coupled Flow Model for Matrix-Fracture in High-Pressure Gas Reservoirs Opened by Gas Drilling
Authors: Liu Jiajie , Li Gao , Ye Zhi , He Wang , Zeng Zhihao
Published: February 2023

Gas drilling technology is an effective method to protect low permeability tight sandstone reservoirs from damage. However, using this technology to drill high-pressure fractured reservoirs, the fluid flow characteristics are extremely complex, leading to drilling safety challenges. Therefore, based on the conservation equations of mass, momentum, and energy, a new transient coupled flow model in matrix-fracture is established for high-pressure gas reservoirs opened by gas drilling, considering convection term and energy equation, to research the pressure and flow velocity transient behaviors. This model is solved by Shaher Momani’s algorithm and CyabJiBe format, and the type curves of the pressure and flow velocity are plotted. The three flow stages are developed, and the impact of parameters and equation terms on the transient flow behavior is analyzed and discussed, such as the energy equation, the matrix permeability (

k

), the fracture aperture (

L

f

), and the fracture outlet pressure. It is found that the energy equation term of the model has a great influence on the transient characteristics such as velocity and pressure, which cannot be ignored. In the first flow stage, the flow velocity characteristics are not affected by the matrix parameters being extremely unstable, but in the second and third stages, the influence of the gas supplied to fracture cannot be ignored. The proposed transient coupled flow model provides a new understanding of the transient flow behavior in matrix-fracture for high-pressure reservoirs during gas drilling, which can be used to interpret the characteristics of pressure and velocity more realistically, to provide support for safe drilling of gas drilling.
Environmental Governance in India: A Case Study of Plachimada, Kerala
Authors: Parth  , Singh Shantesh Kumar
Published: February 2023

Governments often provide space for operation to multinational companies (MNCs), but the state does not assess the impact these companies have on the area and its people. Such ill-informed decisions often cause environmental damages. Environmental governance connects the public policies, environment, and people. This article discusses the case of Plachimada, Kerala, India, which witnessed the establishment of a soft-drink bottling plant by Coca-Cola Beverages Ltd. With the commencement of operation, the near-by areas started experiencing conditions which were never felt before the advent of the soft-drink giant. The article will be highlighting the struggles of Adivasis through broad terms of environmental governance, human rights, public policy, and corporate social responsibility.
Mindfulness training for law enforcement to reduce occupational impact: A systematic review and meta-analysis
Authors: Withrow Ashley , Russell Katie , Gillani Braveheart
Published: February 2023

Law enforcement officers are frequently subjected to highly stressful and traumatic situations with increased negative physical and mental health outcomes. Mindfulness is proposed as a means of improving self-reported physical or mental health outcomes, including depression, anxiety, burnout, and sleep disturbances. This meta-analysis aims to pool the results from studies evaluating mindfulness for police officers, providing an overall effect size for each outcome of interest. Through systematic review, four studies were identified for meta-analysis. Fixed and random inverse variance effects were used. Results indicate that mindfulness-based intervention programs likely decrease depression and may result in reductions of anxiety and burnout.
Examining the Latent Dimensions of Social Anxiety Disorder
Authors: Mordeno Imelu G. , Bigcas Jimayma D. , Mordeno Emelyn R.
Published: February 2023

While the body of literature has investigated the latent dimensions of Social Anxiety Disorder (SAD), only few have directly anchored in the DSM-5 SAD symptoms. Similarly, a continuing issue on measuring mental health disorders pertains to whether a symptom’s frequency, intensity, or both, are appropriate and sufficient indicators of severity. To address this gap, the present study developed and validated a DSM-5-based measurement tool, the Social Anxiety Symptom Severity Inventory (SASSI), which assesses both the intensity (intensity of disturbance) and frequency (frequency of occurrence) of SAD symptoms. In study 1 ( n = 6458, college students), the results revealed a two-factor structure using exploratory structural equation modeling. In study 2 ( n = 425, left-behind emerging adults), confirmatory factor analysis, measurement invariance testing, and latent class analysis were used. Findings demonstrated the importance of using both frequency and intensity of symptoms in assessing SAD severity. Moreover, a five-class solution best fitted the sample. Studies 1 and 2 demonstrated the good psychometric properties of SASSI and filled an important gap among available measures in assessing SAD severity through symptom frequency and intensity.
Digital dependence: Online fatigue and coping strategies during the COVID-19 lockdown
Authors: Gregersen Emilie Munch , Astrupgaard Sofie Læbo , Jespersen Malene Hornstrup , Gårdhus Tobias Priesholm , Albris Kristoffer
Published: February 2023

As the COVID-19 pandemic lockdowns forced populations across the world to become completely dependent on digital devices for working, studying, and socializing, there has been no shortage of published studies about the possible negative effects of the increased use of digital devices during this exceptional period. In seeking to empirically address how the concern with digital dependency has been experienced during the pandemic, we present findings from a study of daily self-reported logbooks by 59 university students in Copenhagen, Denmark, over 4 weeks in April and May 2020, investigating their everyday use of digital devices. We highlight two main findings. First, students report high levels of online fatigue, expressed as frustration with their constant reliance on digital devices. On the other hand, students found creative ways of using digital devices for maintaining social relations, helping them to cope with isolation. Such online interactions were nevertheless seen as a poor substitute for physical interactions in the long run. Our findings show how the dependence on digital devices was marked by ambivalence, where digital communication was seen as both the cure against, and cause of, feeling isolated and estranged from a sense of normality.
Curriculum and training analysis of the music degrees in Colombia
Authors: Lorenzo Quiles Oswaldo , Cárdenas Soler Ruth Nayibe , Soares-Quadros João F , Ortiz-Marcos José Manuel
Published: February 2023

This study aims to carry out a global evaluation of 13 Music Education Bachelor Degrees from Colombia, academic programs focused on the higher training of music teachers in this country, and to establish the training guidelines received by the music education professors who study them. The methodology used is empirical-analytical and descriptive-type and makes use of content analysis techniques that NVivo software provide. In addition, mixed and contextual analyses have been combined regarding specific keywords, such as music, pedagogy, and teachers. The instrument applied was a matrix with content validity completed by an international group of nine evaluators. This matrix showed a structure made up of five categories: General description of the program; Curricular characterization; Curriculum structure; Guiding principles of the curriculum; Curriculum management. The results indicate that there are divergences in the approach of the programs at the training of music educators. It is concluded that the differences between these programmes lie mainly in their formative emphasis, music or pedagogy, in a context in which the instructive approaches of higher education in music education have not yet resolved the divergences and the necessary balance between the pedagogy or artistic training.
Individual, collective, and contextual aspects in the identification of giftedness
Authors: Sternberg Robert J
Published: February 2023

Giftedness is typically thought of as an individual characteristic. But the development and labeling of an individual as “gifted” is always a collective process and takes place embedded within local, sociocultural, and temporal contexts. The view of giftedness as individual is deceptive and results in faulty practice, such as the bestowal of huge advantages in development and labeling upon children whose parents have more substantial financial and other resources. This article applies a pentagonal implicit theory of giftedness to the analysis of individual, collective, and contextual factors in development and labeling and concludes that giftedness should never be viewed merely as an individual characteristic. Doing so not only distorts reality but creates procedures that tend to pass identification and development of “giftedness” inequitably through successive generations of families by virtue of the families’ resources.
The creative container: Supervision and schools in a time of trauma
Authors: Dix Ann , Lea-Weston Lisa
Published: February 2023

This article explores creative supervision with Headteachers and Senior Leaders following the Covid-19 pandemic. It examines the effects of a global trauma on schools and the need for effective supervision to provide a safe container for school staff. Different forms of creative supervision are considered, including the use of symbol and metaphor as well as working outdoors, in nature.
Netnography and instagram community: An empirical study
Authors: Dutta Akanksha , Sharma Anupam
Published: February 2023

Netnography is a methodical tool which is picking up the pace in the online communities. It originates from the field of ethnography and anthropology. The experiences shared by the online communities and interactions of the participants are highlighted by this revelatory method. This study will observe the effects of Instagram in evolving the trust of users, activities of netnography and their use among the Instagram community. The study aims to explore the opportunities of Instagram ethnography while considering the present literature and its inspection as both a research tool and an engaging platform. This research will also give the outlook of using analytical tools like Instagram analytics or Google analytics for amalgamation of the data.
Vibration and Noise Assessment of Prefabricated Crush Rubber Sinusoidal Rumble Strips
Authors: Behnood Hamid Reza , Alamdari Amir , Ghadiri Majid
Published: February 2023

The purpose of this study was to obtain the shape and material of a rubber sinusoidal rumble strip that reduces the noise produced outside the vehicle and does not affect the sound and vibration performance inside the vehicle. Considering the role of rubber rumble strips in reducing the noise created outside the car and also the vibration and sound produced inside the car, software simulation and field study were used to achieve the desired results. Car performance modeling has been done in Simulink software in the form of signal response of wheels and car body to bumps. By the field tests, the grooved and raised rumble strips commonly used on road surfaces, as well as the prefabricated sinusoidal rumble strips produced of crush rubber with dimensions taken from the simulation test, were tested. For 100 km/h speed, conventional grooved strips and sinusoidal strips with wavelengths of 35 cm and amplitudes of 0.6 cm and 1 cm have yielded the highest values of vibration amplitude. For a speed of 120 km/h, a sinusoidal design with a wavelength of 35 cm and an amplitude of 1 cm has given the best results. In the field study, at all speeds examined, sinusoidal strips produced far less noise than the two common modes (grooved and raised) outside the vehicle. It was concluded that the use of rubber sinusoidal strips will be most desirable on urban highways with a speed of about 100 km/h, especially for roads in the vicinity of residential areas.
Manufacturing composite laminates with controlled void content through process control
Authors: Tretiak Iryna , Kawashita Luiz F , Hallett Stephen R
Published: February 2023

To investigate and evaluate the effect of void features on the mechanical performance of composite materials, it is important to be able to manufacture samples with a range of controlled void content. A criterion of less than 2% of porosity is typically acceptable for industry. However, it is important to investigate the effect of void content above and below this range, as voids are typically unevenly distributed in composite parts, and so there are likely to be local void concentrations higher than 2% in some sections of the structures. In this paper, a novel manufacturing process that allows panels with a range of void contents to be manufactured in a controlled manner is introduced. This allowed an investigation of the effect of manufacturing parameters, such as time, pressure and temperature and material systems on the void content and morphology of the voids in specimens produced.