bluuebunny/crossref_metadata_2025 huggingface dataset:
Main Features of Business English Translation and Teaching Model Optimization Based on the Logistic Model
Authors: Huang Jingying
Published: October 2022

With the continuous development of global trade in recent years, business English has received more and more attention as a medium of communication. Business English is a branch of English, and in order to meet the practical needs in business, business English is involved in various business disciplines from foreign trade to international logistics, to economics, foreign trade correspondence, law, and so on, which need to be translated in a more targeted manner. Therefore, there are many professional tutorials for business English in the market to guide trade personnel in business English translation. Many scholars have also conducted comprehensive studies on business English translation, some starting from its stylistic features and some focusing on translation skills, but fewer scholars have conducted studies on business English translation through models, and there is still a lack of theoretical basis for how to effectively improve the translation of business English. Therefore, in order to reduce the friction between different cultures in trade, promote business English better, and provide convenience for foreign traders, this study will implement the basic principles of “faithfulness, elegance” in English translation, with the aim of improving the practicality and effectiveness of business English, mainly from the main features of business English translation, and then, in the process of analysis, we mainly use the logistic model to analyze the characteristics of business English translation, including timeliness, professionalism, uniqueness, and diversity. The final analysis results show that the influence of professionalism and diversity on the effect of business English translation is more obvious, and we need to carry out a special teaching mode for these two points. The final analysis shows that professionalism and diversity have a significant impact on the effectiveness of business English translation, and special teaching models are needed to optimize these two points.
A Comprehensive Review on the Integration of Electric Vehicles for Sustainable Development
Authors: Hossain M. S. , Kumar Laveet , Islam M. M. , Selvaraj Jeyraj
Published: October 2022

In this article, the concept of an electric vehicle (EV) as a sustainable development (SD) is discussed, and the viability of the development of electric vehicles is assessed. This study broadens the conventional definition of sustainable development by incorporating and prioritizing crucial areas of technology, environment, and policy performance. The proposed review studies have summarized the elements that can promote the integration of electric vehicle technology. The innovation of the EV has just become a modern innovation. At the same time, some obstacles, such as policy and lower adoption, are resisting its goals. To overcome this situation, electric cars have to adopt some innovative approaches that can be another path to success. The review result shows that the proposal discusses the technological advancements of electric vehicles worldwide and paves the way for further improvements. The results also mentioned technological development to reduce emissions and help us understand the impact on the environment and health benefits. However, the summary would be advantageous to both scholars and policymakers, as there is a lack of integrative reviews that assess the global demand and development of EVs simultaneously and collectively. This review would provide insight for investors and policymakers to envisage electric mobility.
Effects of Shenkang Injection Combined with Jinshuibao on Early Diabetic Nephropathy and Effects on Coagulation Fibrinolysis System and Urinary Protein
Authors: Zhu Jianhua , Yang Tingting , Luo Jie , Wei Mian , Li Hanyu , Qi Yue , He Jiali , Chen Min
Published: October 2022

Purpose. To explore the effect of Shenkang injection (SKI) combined with Jinshuibao for early diabetic nephropathy (DN) and its effect on the coagulation fibrinolysis system and urinary protein. Methods. 136 patients with early DN admitted to our hospital from March 2018 to October 2019 were divided into the observation group (n = 68) and the control group (n = 68) randomly. On the basis of the conventional treatment, the control group was treated with SKI, and the observation group was treated with SKI and Jinshuibao. Two weeks later, the therapeutic effects of the 2 groups were compared. The prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), tissue plasminogen activator (t-PA), plasminogen activator inhibitor-1 (PAI-1), and D-dimer (D-D) were observed and compared before and after the treatment. 24 hour urine total protein (24 h-UTP), urine albumin excretion rate (UAER), and urine β2 microglobulin (β2-MG) were measured and compared before and after the treatment. Adverse reactions in the two groups were recorded during the treatment. Results. The effective rate of the observation group after treatment was 92.65% higher than the control group 79.41%. the difference was statistically significant (

P
<
0.05

). The levels of PT, APTT, TT, FIB, PAI-1, and D-D in the two groups after treatment were lower, and t-PA levels after treatment were higher than those before, and all of the above indicators were significantly changed in the observation group than in the control group. The difference was statistically significant (

P
<
0.05

). The 24 h-UTP, UAER, and β2-MG in the two groups after treatment were lower than those before, and all of the above indicators were significantly changed in the observation group than in the control group. The difference was statistically significant (

P
<
0.05

). There was no statistically significant difference during the treatment for 2 groups in terms of adverse reactions. The difference was statistically significant (

P
>
0.05

). Conclusion. SKI combined with Jinshuibao has a significant effect in the treatment of early DN, which can reduce the risk of hyperfunction of coagulation and fibrinolysis system, further reduce the content of urine protein, and delay the process of DN.
Diagnostic Value of CT Window Technique for Primary Omentum Infarction
Authors: Du Yue , Chen Yan , Li Cai-hong , Zhou Bi , Wu Jin-liang , Gu Liang-rui , Yang Kai
Published: October 2022

Objective. The diagnostic value of CT window width technique in primary omentum infarction was evaluated by this study. Methods. The abdominal CT data of 32 patients with clinically diagnosed abdominal omentum infarction were retrospectively selected and analyzed. The fixed window position was 50 HU, and the window width was 135 HU, 250 HU (abdomen), 350 HU (mediastinum), and 500 HU, respectively. The detection rate of lesions was analyzed and compared. Results. Window widths of 135 HU, 250 HU (abdomen), 350 HU (mediastinum), and 500 HU have a detection rate of 12.5% (4 cases), 62.5% (20 cases), 100% (32 cases), 100% (32 cases) for abdominal omental lesions, respectively. However, 500 HU showed worse abdominal bowel and parenchymal organs than 350 HU. Conclusion. According to the comprehensive image quality, the ideal window width for diagnosis of primary omentum infarction is 350HU (mediastinal) window width.
Dexterous Identification of Carcinoma through ColoRectalCADx with Dichotomous Fusion CNN and UNet Semantic Segmentation
Authors: Narasimha Raju Akella S. , Jayavel Kayalvizhi , Rajalakshmi Thulasi
Published: October 2022

Human colorectal disorders in the digestive tract are recognized by reference colonoscopy. The current system recognizes cancer through a three-stage system that utilizes two sets of colonoscopy data. However, identifying polyps by visualization has not been addressed. The proposed system is a five-stage system called ColoRectalCADx, which provides three publicly accessible datasets as input data for cancer detection. The three main datasets are CVC Clinic DB, Kvasir2, and Hyper Kvasir. After the image preprocessing stages, system experiments were performed with the seven prominent convolutional neural networks (CNNs) (end-to-end) and nine fusion CNN models to extract the spatial features. Afterwards, the end-to-end CNN and fusion features are executed. These features are derived from Discrete Wavelet Transform (DWT) and Vector Support Machine (SVM) classification, that was used to retrieve time and spatial frequency features. Experimentally, the results were obtained for five stages. For each of the three datasets, from stage 1 to stage 3, end-to-end CNN, DenseNet-201 obtained the best testing accuracy (98%, 87%, 84%), ((98%, 97%), (87%, 87%), (84%, 84%)), ((99.03%, 99%), (88.45%, 88%), (83.61%, 84%)). For each of the three datasets, from stage 2, CNN DaRD-22 fusion obtained the optimal test accuracy ((93%, 97%) (82%, 84%), (69%, 57%)). And for stage 4, ADaRDEV2-22 fusion achieved the best test accuracy ((95.73%, 94%), (81.20%, 81%), (72.56%, 58%)). For the input image segmentation datasets CVC Clinc-Seg, KvasirSeg, and Hyper Kvasir, malignant polyps were identified with the UNet CNN model. Here, the loss score datasets (CVC clinic DB was 0.7842, Kvasir2 was 0.6977, and Hyper Kvasir was 0.6910) were obtained.
AI-Assisted Decision-Making and Risk Evaluation in Uncertain Environment Using Stochastic Inverse Reinforcement Learning: American Football as a Case Study
Authors: Takayanagi Risa , Takahashi Keita , Sogabe Tomah
Published: October 2022

In this work, we focus on the development of an AI technology to support decision making for people in leadership positions while facing uncertain environments. We demonstrate an efficient approach based on a stochastic inverse reinforcement leaning (IRL) algorithm constructed by hybridizing the conventional Max-entropy IRL and mixture density network (MDN) for the prediction of transition probability. We took the case study of American football, a sports game with stochastic environment, since the number of yards gainable on the next offence in real American football is usually uncertain during strategy planning and decision making. The expert data for IRL are built using the American football 2017 season data in National Football League (NFL). The American football simulation environment was built by training MDN using the annual NFL data to generate the state transition probability for IRL. Under the framework of Max-Entropy IRL, optimal strategy was successfully obtained through a learnt reward function by trial-and-error communication with the MDN environment. To precisely evaluate the validity of the learnt policy, we have conducted a risk-return analysis and revealed that the trained IRL agent showed higher return and lower risk than the expert data, indicating that it is possible for the proposed IRL algorithm to learn superior policy than the one derived directly from the expert teaching data. Decision-making in an uncertain environment is a general issue, ranging from business operation to management. Our work presented here will likely serve as a general framework for optimal business operation and risk management and contribute especially to the portfolio’s optimization in the financial and energy trading market.
A Real-Time Detection Algorithm of Flame Target Image
Authors: Zhao Jing
Published: October 2022

In many research tasks, the speed and accuracy of flame detection using supply chain have always been a challenging task for many researchers, especially for flame detection of small objects in supply chain. In view of this, we propose a new real-time target detection algorithm. The first step is to enhance the flame recognition of small objects by strengthening the feature extraction ability of multi-scale fusion. The second step is to introduce the K-means clustering method into the prior bounding box of the algorithm to improve the accuracy of the algorithm. The third step is to use the flame characteristics in YOLO+ algorithm to reject the wrong detection results and increase the detection effect of the algorithm. Compared with the YOLO series algorithms, the accuracy of YOLO+ algorithm is 99.5%, the omission rate is 1.3%, and the detection speed is 72 frames/SEC. It has good performance and is suitable for flame detection tasks.
Differentiated Reception Modes Based Multiple Access
Authors: Chang Z. , Lyu P. , Peng B.
Published: October 2022

In recent years, the continuous increase in wireless data services and users’ traffic demand has been imposing great challenges on traditional multiple access control (MAC) methods. Some existing MAC techniques improve the communication system’s spectral efficiency (SE) via signal processing based cochannel interference (CCI) management. However, no interference management (IM) is free, i.e., its realization is based on the consumption of some communication resources, such as power and degree-of-freedom (DoF), which can also be used for the user’s desired data transmission. To lessen the resource cost for IM-based MAC, we exploit interactions among multiple wireless signals to propose a new MAC method, namely, Differentiated Reception Modes based Multiple Access (DRM-MA), in this paper. Under DRM-MA, a central control unit (CCU) is adopted to manage and pair multiple transmitting antennas with their serving receivers (Rxs). The CCU first calculates the phase difference of signals sent from each candidate antenna and perceived by the two receiving antennas of an Rx based on the locations of the transmitting antenna and Rx. Then, the CCU selects and pairs a proper transmitting antenna with each Rx, so that various Rxs can adopt either additive or subtractive reception mode to postprocess the signals received by its two antennas to realize in-phase desired signal construction and inverse-phase interference destruction. DRM-MA can avoid transmission performance loss incurred by signal processing-based IM. Our theoretical analysis and simulation results have shown that DRM-MA can enable concurrent data transmissions of multiple antenna-receiver pairs and output a high system’s SE.
Low-Dose X-Ray Increases Paracellular Permeability of Human Renal Glomerular Endothelial Cells
Authors: Wang Jilei , Sun Chongtao , Zheng Dongxia , Sun Kun
Published: October 2022

Objective. Glomerular endothelium functions as a filtration barrier of metabolites in the kidney. Although X-ray irradiation modulated the permeability of the vascular endothelium, the response of human renal glomerular endothelial cells (HRGECs) to low-dose X-ray irradiation has not been investigated. We evaluated the impacts of low-dose X-ray irradiation on HRGECs and revealed the underlying mechanism. Methods. HRGECs were exposed to X-ray with doses of 0, 0.1, 0.5, 1.0, and 2.0 Gy. The proliferation, viability, and apoptosis of HRGECs were examined by MTT assay, trypan blue staining assay, and TUNEL staining, respectively. The paracellular permeability was assessed by paracellular permeability assay. The expression of VE-cadherin was investigated via immunofluorescence assay. Western blot and qRT-PCR detected the expression levels of VE-cadherin and CLDN5. Besides, the expression levels of pVE-cadherin (pY658), TGF-β, TGF-βRI, Src, p-Src, Smad2, p-Smad2, Smad3, p-Smad3, SNAIL, SLUG, and apoptosis-related proteins were tested by Western blot. Results. The proliferation, viability, and apoptosis of HRGECs were not affected by low-dose (<2.0 Gy) X-ray irradiation. X-ray irradiation dose-dependently reduced the level of VE-cadherin, and VE-cadherin and CLDN5 levels were reduced with X-ray irradiation. The levels of pY658, p-Src, p-Smad2, and p-Smad3 were upregulated with the increase in X-ray dose. Besides, the paracellular permeability of HRGECs was increased by even low-dose (<2.0 Gy) X-ray irradiation. Therefore, low-dose X-ray irradiation reduced the cumulative content of VE-cadherin and increased the level of pY658 via activation of the TGF-β signaling pathway. Conclusion. Even though low-dose X-ray exposure had no impact on proliferation, viability, and apoptosis of HRGECs, it increased the paracellular permeability by deterioration and downregulation of VE-cadherin through stimulating the TGF-β signaling pathway. This study built the framework for kidney response to low-dose irradiation exposure.
Antioxidant and Anticancer Potentials of the Olive and Sesame Mixture against Dimethylhydrazine‐Induced Colorectal Cancer in Wistar Rats
Authors: Valaei Amirhasan , Azadeh Fatemeh , Mostafavi Niaki Seyedeh Talayeh , Salehi Alireza , Shakib Khoob Maede , Mirebrahimi Seyed Hesam odin , Kazemi Sohrab , Hosseini Seyed Mohammad
Published: October 2022

Cancer is one of the leading causes of death worldwide, and natural agents have shown some promise in fighting it. Thus, the present study tried to evaluate the healing potential of an equal combination of olive and sesame extract (MOS) against the colorectal cancerous lesions that were induced by dimethylhydrazine (DMH) in male rats and also compare the anticarcinogenic potential of the MOS and vitamin E with each other. Therefore, the mixture of equal olive and sesame extract (MOS) was used as the main treatment, alongside vitamin E as a parallel treatment. This study examined the red blood cell (RBC) and white blood cell (WBC) levels, biochemical indices, lactate dehydrogenase (LDH), C‐reactive protein (CRP), total protein (TP), creatine kinase (CPK), albumin, and the colon tissue pathology, as well as the level of protein expression of the adenomatous polyposis coli (APC), proliferating cell nuclear antigen (PCNA), carcinoembryonic antigen (CEA), and platelet‐derived growth factor (PDGF). Also, the tissue stress markers including total antioxidant capacity (TAC), malondialdehyde (MDA), and superoxide dismutase (SOD) were analyzed. Overall, the results represented a significant reduction in the congestion, mitotic index, inflammation, and cell destruction in the MOS group compared to the DMH group. In terms of the oxidative stress level, a significant increase was observed in the DMH group in comparison with the DMH‐MOS group (P < 0.05), and the MOS significantly increased TAC level (P < 0.05). Furthermore, the DMH+MOS‐exposed group exhibited a significantly lower expression of the PCNA, CEA, and PDGF proteins than those of the DMH group. Overall, the MOS showed that it can effectively prevent DMH‐induced colon lesions. This mixture, as a strong antioxidant agent, can be clinically applied for preventing and treating colorectal cancer, the effectiveness of which is higher than that of vitamin E.
A Study of Spiral-Like Harmonic Functions Associated with Quantum Calculus
Authors: Shah Shujaat Ali , Cotirla Luminita-Ioana , Catas Adriana , Dubau Calin , Cheregi Gabriel
Published: October 2022

This article introduces new subclasses of harmonic univalent functions associated with

q

-difference operator. Modified

q

-multiplier transformation is defined, and certain geometric properties such as the sufficient condition, distortion result, extreme points, and invariance of convex combination of the elements of the subclasses are discussed by employing the newly defined

q

-operator. Also, various well-known results already proved in the literature are pointed out.
Emerging Role of Dendritic Cell Intervention in the Treatment of Inflammatory Bowel Disease
Authors: Sun Donglei , Li Chenyang , Chen Shuang , Zhang Xiaolan
Published: October 2022

Dendritic cells (DCs) are the most important antigen‐presenting cells and are pivotal in initiating effective adaptive immune responses to induce immune tolerance and maintain immune homeostasis. Inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis, is chronic, intestinal inflammatory and autoimmune disorder. DCs participate in IBD pathogenesis. This review is aimed at briefly discussing the role of DCs in IBD and the relationship between them and highlighting the prominent role of these cells in the treatment of these disorders.
[Retracted] Application of Sandwich Teaching Method Based on Network Platform in Rehabilitation Nursing Teaching in Postepidemic Era
Authors: Zhang Weiwei , Yao Tian , Dong Guanzhong
Published: October 2022

Rehabilitation nursing teaching is one of the key points of nursing teaching. The quality of rehabilitation nursing teaching directly affects the comprehensive ability of clinical interns. Therefore, teachers must further deepen the reform of clinical nursing teaching, improve the teaching system, and explore effective clinical nursing teaching methods. This paper introduces the application of the network teaching mode based on sandwich in rehabilitation nursing teaching, which provides guidance and help for the clinical nursing teaching mode. Through sandwich teaching activities for third year students of the nursing department, taking mastering theoretical knowledge, changing critical thinking ability, and changing learning initiative as indicators, this paper analyzes the sandwich teaching mode and discusses the cultivation of nursing students’ ability. The experimental results showed that after the intervention, there was a statistically significant difference in the learning initiative of students in the experimental group (t = −29.713, p ≤ 0.001). After the intervention, there was a significant difference in the learning initiative of the control group (t = −3.368, p ≤ 0.001).
Dynamic Optimization Modeling of Smart Tourism Information System Using VRGIS in Big Data Environment
Authors: Xu Anfeng , Zeng Wenjun
Published: October 2022

The establishment of an intelligent, comprehensive, and all-encompassing information system for tourism management is the current trend in tourism informatization as a result of the continual development of modern information technology. Significant advancements in the field of VRGIS and its usage in research have been made as a result of the use of VRGIS to categorize, assess, plan, and manage tourism resources. The analysis of the recent development of VRGIS in tourism resource research is the first section of this work. This study examines and implements a mobile, computerized, and intelligent tourism service system that gives visitors a sense of the surrounding landscape using VRGIS. Three-dimensional mapping, environment detection, personal trajectory, and Weibo sharing are just a few of the system’s many helpful features. While travelling, tourists can get services that are more intelligent and practical. The drawbacks of conventional geographic information systems include their reliance on sophisticated models, network limitations, and operational challenges. New software architecture is put in place to get rid of network restrictions, virtual reality peripherals are used to make operation more convenient, and system modeling is rebuilt using the TIN data model and model simplification. The results of experiments show improved refresh rates and peripheral expansion modules. The user experience is enhanced by this research.
Comparison of Effect of Three Different Surgical Procedures on Ankle Joint Function Rehabilitation of Patients with Hepple V Talus Osteochondral Injury
Authors: Ma Zhanhua , Wu Junde , Han Jinglu , Hu Yanzhao , Li Qian
Published: October 2022

Objective. To discuss and compare the effects of three different surgical procedures on ankle function rehabilitation of patients with Hepple V talus osteochondral injury. Methods. A total of 60 patients with Hepple V talus osteochondral injury admitted to our hospital from January 2020 to January 2021, among which 17 patients in study group 1 received microfracture surgery, 20 patients in study group 2 received osteochondral autologous transplantation, and 23 patients in study group 3 received with periosteal iliac bone transplantation. The range of motion (ROM) of the patients’ angle was evaluated by the goniometer before and after the treatment. The ankle function was evaluated by the ankle-hindfoot score of American Orthopedic Foot and Ankle Society (AOFAS). The ankle joint pain was evaluated by visual analogue score (VAS). The surgical efficacy was evaluated 12 months after surgery, and complications and nursing satisfaction were observed and recorded. Results. There was no significant difference in ROM, AOFAS score, and VAS score among the three groups before the treatment (

P
>
0.05

). ROM and AOFAS score of the three groups were improved, and VAS score was decreased at 6 months and 12 months after treatment (

P
<
0.05

). ROM and AOFAS score of group 2 and group 3 were higher than those of group 1, while the VAS score was lower than that of group 1, indicating significant difference (

P
<
0.05

). There was no significant difference in ROM, AOFAS, and VAS score between group 2 and group 3 (

P
>
0.05

). The surgical efficacy of group 2 and group 3 was higher than that of group 1, indicating statistical significance (

P
<
0.05

), while there was no significant difference in the surgical significance between group 2 and group 3 (

P
>
0.05

). There was no significant difference in complication rate among the three groups (

P
>
0.05

), and the treatment satisfaction of group 2 and group 3 was higher than that of group 1, indicating statistical significance (

P
<
0.05

), but there was no significant difference between group 2 and group 3 (

P
>
0.05

). Conclusion. Three different surgical procedures have good therapeutic effect for Hepple V talus osteochondral injury. Osteochondral autologous transplantation and periosteal iliac bone transplantation can reduce the pain of ankle joint, promote the effect of ankle joint function recovery, which can effectively improve patient satisfaction. It is suggested to choose the surgical procedure according to the actual situation of patients.
Severe Bradycardia Leading to Hemodynamic Instability Associated with Remdesivir Use in a Patient with COVID-19 Pneumonia
Authors: Donepudi Bhargavi , Agarwal Shikhar , Thakur Lokendra
Published: October 2022

Remdesivir (RDV) is an approved treatment for hospitalized patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. There is limited literature on the cardiac adverse effects of RDV. We report a case of a patient who developed hemodynamically unstable bradycardia after the initiation of RDV that resolved after discontinuing RDV.
Couplet Analysis of Linguistic Topology Using Deep Neural Networks in Cognitive Linguistics
Authors: Zhu Dongmei , Wang Nan , Yang Fuqiang
Published: October 2022

The work reported here primarily aims to realize the automatic generation of couplets using the linguistic topology of deep neural network (DNN). First, the symmetry, topology, and cognitive linguistics of language are explored to lay a theoretical foundation for subsequent model establishment and analysis. Then, the recurrent neural network (RNN) is employed to build the Seq2Seq model, and Liweng’s Guide to Rhyme (an ancient Chinese enlightenment reading material to poetry creation) is imported into the Seq2Seq model as a basic corpus. Eventually, the entire system is implemented automatically on TensorFlow. The system undergoes tests of the five-character quatrain, the seven-character quatrain, the couplet, and the part-of-speech detection. Results demonstrate that both the first and the second lines of the couplet present an excellent correspondence regarding sentences and words. After some famous verses are entered, the second line of the couplet obtained is quite vivid and appropriate. Meanwhile, the results can be generated quickly and meet the requirements on rhyme and couplet matching. This model can input verses according to users’ own needs and generate the second line of the couplet quickly, showing good correspondence in words, part-of-speech, and sentence pattern. Because the couplet belongs to Chinese traditional culture, it has a strong local Chinese cultural flavor. The system designed based on computer technology can help people learn and experience the charm of couplets.
Intussusception Caused by Cecal Duplication in an Adult: A Case Report
Authors: Bergeron Eric , Gervais Normand
Published: October 2022

Cecal duplication is a rare congenital malformation and majority of the cases are discovered in the first years of life. Ileocolic intussusception is also a rare situation encountered in adults. A 19-year-old female presented with acute abdominal pain and bowel occlusion in relation with an ileocecal intussusception. She underwent an emergent laparotomy and ileocecal resection. A cecal duplication cyst was found to be the cause of the intussusception. While duplications and intussusception are very rare situations encountered in the adult life, the presence of both at the same time remains frankly anecdotal. The present case demonstrates that intussusception may likely be involved with any cecal lesion, like duplication.
Variation of Leaf Area Index (LAI) under Changing Climate: Kadolkele Mangrove Forest, Sri Lanka
Authors: Makumbura Randika K. , Rathnayake Upaka
Published: October 2022

Mangroves are an essential plant community in coastal ecosystems. While the importance of mangrove ecosystems is well acknowledged, climate change is expected to have a considerable negative impact on them, especially in terms of temperature, precipitation, sea level rise (SLR), ocean currents, and increasing storminess. Sri Lanka ranks near the bottom of the list of countries researching this problem, even though the scientific community's interest in examining the variation in mangrove health in response to climate change has gained significant attention. Consequently, this study illustrates how the leaf area index, a measure of mangrove health, fluctuates in response to varying precipitation, particularly during droughts in Sri Lanka's Kadolkele mangrove forest. The measurements of the normalized difference vegetation index (NDVI) were used to produce the leaf area index (LAI), which was then combined with the standard precipitation index (SPI) to estimate the health of the mangroves. The climate scenario, RCP8.5, was used to forecast future SPI (2021–2100), and LAI was modeled under the observed (1991–2019) and expected (2021–2100) drought events. The study reveals that the forecasted drought intensities modeled using the RCP8.5 scenario have no significant variations on LAI, even though some severe and extreme drought conditions exist. Nevertheless, the health of the mangrove ecosystem is predicted to deteriorate under drought conditions and rebound when drought intensity decreases. The extreme drought state (-2.05) was identified in 2064; therefore, LAI has showcased its lowest (0.04). LAI and SPI are projected to gradually increase from 2064 to 2100, while high fluctuations are observed from 2021 to 2064. Limited availability of LAI values with required details (measured date, time, and sample locations) and cloud-free Landsat images have affected the study results. This research presents a comprehensive understanding of Kadolkele mangrove forest under future droughts; thus, alarming relevant authorities to develop management plans to safeguard these critical ecosystems.
Research on Decision-Making of Hybrid Dominant Closed-Loop Supply Chain considering Different Logistics Modes
Authors: Wu Wanxian , Miao Lin
Published: October 2022

Based on the mode of manufacturers dominating in the forward supply chain and retailers dominating in the backward supply chain, a hybrid leading closed-loop supply chain structure with different two-way dominance is constructed to study the advantages and disadvantages of supply chain decision-making under logistics self-supporting and logistics outsourcing modes. Stackelberg game theory is used to solve the equilibrium solution and optimal profit of the forward and backward supply chains under different logistics modes. On this basis, the profits of manufacturers and retailers in the forward and backward closed-loop supply chains are compared, and finally, the conclusion is verified by numerical examples. The influence of different logistics modes on pricing decisions of manufacturers and retailers is studied based on the dual-agent hybrid dominant supply chain model, and then, the logistics mode selection of manufacturers and retailers under different conditions of forward dominant body and backward dominant body.
Fitness differences between parthenogenetic litters of the synanthropic scorpion Tityus stigmurus (Scorpiones: Buthidae)
Authors: Dionisio-da-Silva Welton , Albuquerque Cleide M.R. , Lira André F.A.
Published: October 2022

Clonal lineages in similar environments may be influenced by non-Mendelian inheritance, such as maternal age effects and developmental instabilities. These mechanisms may affect the developmental fitness of parthenogenetic litters. In this study, the scorpion Tityus stigmurus (Thorell, 1876) was used to analyze the effects of non-Mendelian variation on parthenogenetic litters. A total of 75 juveniles from five females were reared under the same controlled conditions, while their development was observed and evaluated through differences in offspring fitness traits (litter size, prosoma size, developmental time, and mortality) between the litters. First and second litters had a similar litter size, although second litters exhibited longer developmental time in the early instar stages (second and third) than first litters. These results indicate that T. stigmurus females allocated nutrient resources to maximize litter size rather than developmental fitness in subsequent litters. Differences in developmental time found in early instars but not in late instars may have occurred as a result of stochastic developmental variations in young individuals. Such variation in duration of development has the potential to influence survival of juveniles in natural environments because individuals that grow faster may avoid large predators and consume larger prey, compared to those that do not.
Additional records of bathyal ascidians (Tunicata) from the New Caledonia region
Authors: MONNIOT FRANÇOISE
Published: October 2022

Two expeditions EXBODI (2011) and SPANBIOS (2021) sampled the invertebrate fauna of deep bottoms on each side of New Caledonia. Many ascidians were collected and the most part are already known species. Among the 13 species described and figured, two are new to science. All have typical characters of a deep habitat. Variability of the internal anatomy is described for abundant specimens of the same species from the same location. There is no concordance with the littoral ascidian fauna.
Anti-Liver Cancer Activity of a New Compound Extracted from Populus pruinosa and Phylogenetic Analysis
Authors: Liu Hong , Wu Nan
Published: October 2022

Populus pruinosa is a fragile poplar species separated from other poplar trees. It is specifically adapted to tropical areas and utilized as a conventional medicine. It is an important medicinal plant for the treatment of cancer. A new compound was extracted from P. pruinosa.
Its application value for the treatment of liver cancer was then explored. The corresponding mechanism was also determined. After treatment with this compound, CCK-8 was detected and the proliferation of liver cancer cells was examined. Furthermore, the percentage of hepatocyte apoptosis was
calculated via Annexin V-FITC/PI apoptosis analysis. The total sequence of the chloroplast genome of P. pruinosa was determined by terminal sequencing with Illumina. Neighbor-joining phylogenetic analysis suggested that P. cathayana and P. pruinosa cluster together as
the sister groups to other poplar species.
New Luminescent Zn(II)-Based Complex with Preventive and Inhibitory Effects on Skin Cancer
Authors: Long Zhao-Bo , Li Feng
Published: October 2022

The dual ligand of 5-(1-oxoisoindolin-2-yl)isophthalic acid (H2L) and 1,2-bis(4-pyridyl)ethane (bpe) was combined with Zn(II) ions in a DMF-H2O system to produce a Zn(II) compound, i.e., (Zn[L][bpe])n (1). At room temperature, compound 1
is luminescent with luminescent quantum yield of 35.8% and luminescence lifetime of 10.5 ns. For the treatment of skin cancer, its suppression effect against skin cancer was discussed, and the mechanism was investigated. The CCK-8 assay was used to detect the CP’s suppression effect
against skin cancer cells. Moreover, real-time RT-PCR was conducted to examine the relative CA19-9 expression in cancer cells.
Modified Model of Sound Velocity with Different Saturation in Fractured Sandstone
Authors: Li Tao , Zhang Xin , Shu Zhile , Zhong Wenwu
Published: October 2022

The hazards of surrounding rock sheeting, collapse and rock explosion during the excavation of underground projects can be regarded as the macroscopic dynamics of the evolutionary development of their internal fractures, mostly accompanied by acoustic emission phenomena. The application
of acoustic emission detection technology can quickly determine the existence of fissures in the surrounding rock and predict their approximate location and spatial spread. Therefore, considering the effect of fissures on the sound velocity propagation law. In this work, experiments on the
identification of acoustic emission signal paths in solid media with different void states are carried out, and the path propagation law of acoustic emission signals is explored and studied. A comparative analysis of acoustic emission source localization in fractured sandstone with different
sensor arrays at different saturation levels was carried out using water as the coupling agent. The acoustic emission source 3D localization results are optimized by correcting the time difference model. The results show that the acoustic emission signal propagation conforms to the shortest
distance principle. In the localization of 3D cylindrical AE sources, it is suitable to select a combined array of spatial tetrahedral sensors for better localization. As the saturation increases the positioning effect gets closer to the actual value. The sound source localization effect of
the sound velocity correction model based on the time difference method is closer to the actual lead break position. In actual engineering, water as a benign coupling agent can better improve the accuracy of AE source localization in fracture-containing sandstone, which can provide some guiding
suggestions for related engineering.
Infodemics in Mexico: A look at the Animal Político and Verificado fact-checking platforms
Authors: Aguila Sánchez Julio C , Pereyra-Zamora Pamela
Published: October 2022

Background:

The COVID-19 crisis has been a fertile ground for misinformation due to several factors such as the uncertainty typical of crises, the hasty handling of information, the virality provided by social networks and the scarce resources that average citizens have to discern between what is true and what is false in the health information they consume.

Objective:

In this context, this article aims to characterise the COVID-19 hoaxes registered on the Mexican fact-checking platforms Animal Político and Verificado during 2020 and 2021.

Method and design:

The method used in this study was predominantly quantitative and took the form of content analysis. This method was applied to hoaxes registered on these two fact-checking sites.

Results:

The primary type of hoax encountered was one of deception, followed by decontextualisation, exaggeration and joking. Disinformation circulates mainly in social media, in various formats that make the false seem more credible. We found that public figures and the media contribute to the spread of health hoaxes. However, they do not contain hate speech as has been the case in other contexts informed by xenophobic and racist agenda.

Conclusion:

The disinformation on COVID-19 registered on the Mexican fact-checking platforms Animal Político and Verificado during 2020 and 2021 is characterised by a marked concern to question the role of vaccination in confronting and controlling the pandemic. In this way, denialist, conspiracy and anti-vaccine ideas have come to permeate public debate.
Powerloom in Textile Industry: A Study of Siminoi Powerloom Cluster of Dhenkanal District in Odisha
Authors: Prusty Jnana Ranjan , Mallick Sambit
Published: October 2022

There was an uncritical transition from handloom clusters to powerloom clusters initiated by the Government of Odisha in 1972, having a debilitating effect on both handloom and powerloom. This article examines the factors contributing to the plight of powerloom clusters in Odisha. In-depth personal interviews were conducted with various stakeholders of Siminoi powerloom clusters of Dhenkanal District in Odisha. A lack of planning in powerloom, education, government patronage, competitiveness, product diversification, marketing, infrastructure bottleneck, and so on is responsible for the plight of powerloom sector in the state. Hence, there is a need to critically integrate both handloom and powerloom in Odisha.
Additive manufacturing of silicone-thermoplastic elastomeric composite architectures
Authors: Liu Wenbo , Campbell Ronald R , Periyasamy Mookkan , Hickner Michael A
Published: October 2022

Additive manufacturing (AM) methods such as fused filament fabrication (FFF) and direct ink writing (DIW) enable the free-form design and printing of complex architectures using a range of materials. Compared with traditional manufacturing technologies, AM methods are highly automated to reduce waste, assembly costs, and processing errors. By combining different AM deposition methods, we can fabricate composite materials with desired spatial arrangements and anisotropies to meet unique design requirements and to produce integrated multi-material components that are not easily manufactured by traditional strategies. To address a wide variety of mechanical performance requirements, developing hybrid AM technologies into a low-cost, fully-automated manufacturing process can realize a number of new types of elastomer composite architectures. In this work, FFF and DIW methods have been combined to fabricate thermoplastic polyurethane (TPU) reinforced silicone composite materials. Several specimens with different silicone and TPU infill patterns have been designed to characterize the mechanical compression responses of these structures. With 40–80% infill percentages of silicone and 20–60% infill percentages of TPU, composites specimens can be designed to get any specified compression response between 600 N and 9000 N. This TPU-reinforced silicone printing technique can be applied for silicone composite architecture design in a wide range of applications that require tunable elastic responses.
Social Change and Race-Specific Homicide Trajectories: An Age-Period-Cohort Analysis
Authors: Lu Yunmei , Luo Liying , Santos Mateus R.
Published: October 2022

Objectives

Social change and the aging process are racially bifurcated in the United States, where Black and White populations have long lived in divergent social worlds. This study examines the cohort patterns and life-course trajectories of Black and White homicide involvement over the past four decades.

Data and Methods

The study uses data from the Supplemental Homicide Reports and Age-Period-Cohort-Interaction (APC-I) models to analyze race-specific trends of (alleged) homicide offending and victimization between 1976 and 2018 in the U.S.

Results

Results reveal similar patterns in the age, period, and cohort effects on Black and White homicide involvement. However, while the shapes of these trajectories are comparable, the volatility in cohort effects on homicide is much more accentuated for Black cohorts than White cohorts. We also find racial differences for cohorts born after 1990, with a downward cohort pattern among the White group but a flat cohort trend among the Black group.

Conclusions

Findings suggest that Black cohorts’ homicide involvement is more susceptible than White cohorts’ to the influence of external social changes (e.g., economic downturn, the crack epidemic). In addition, an increasing racial gap between Black and White populations is found among the recent birth cohorts. Possible mechanisms are discussed.
Exploration of Variables Predicting Sense of School Belonging Using the Machine Learning Method—Group Mnet
Authors: Lim Hyo Jin , Yoo Jin Eun , Rho Minjeong , Ryu Jae Jun
Published: October 2022

The purpose of this study was to explore variables related to school belonging from a holistic perspective, including a large number of variables in one model, different to the traditional analytical method. Using 2015 data from the Program for International Student Assessment (PISA), we sought to identify variables related to school belonging by searching for hundreds of predictors in one model using the group Mnet machine learning technique. The study repeated 100 rounds of model building after random data splitting. After exploring 504 variables (384 student and 99 parent), 32 variables were finally selected after selection counts. Variables predicting a sense of school belonging were categorized as individual/parent variables (e.g. motivation to achieve, tendency to cooperative learning, parental support) and school-related variables (e.g. school satisfaction, peer/teacher relationship, learning/physical activities). The significance and implications of the study as well as future research topics were discussed.
Using Sound Walls to Promote Independent Spellers
Authors: Novelli Christina , Sayeski Kristin L.
Published: October 2022

Improving students’ spelling proficiency can increase their reading performance. Unfortunately, many students with specific learning disabilities in reading struggle with spelling. These students are often served in general education settings and provided with limited support for spelling. Recently, however, teachers have begun to incorporate sound walls—a visual representation of the connection between letter sounds (phonemes) and letters (graphemes)—as a tool to promote spelling and other literacy-related skills. This article provides information on what sound walls are, how they differ from word walls, and guidance on how to incorporate sound walls within a structured approach to literacy.
Concern for Patient Safety Culture of ECMO Team in Emergency Department: A Cross-Sectional Survey
Authors: Zhou Liping , Li Li , Xiao Shuiyuan , Yang Ning
Published: October 2022

To evaluate the patient safety culture status of the ECMO team in the emergency department of a tertiary care hospital. A cross-sectional survey was conducted in the emergency department of Xiangya Hospital from September 1st to 30th, 2021. The Chinese version of HSOPSC electronic questionnaire was administered to all staff involved in ECMO management and initiation. A total of 152 ECMO team members completed the survey. Among the 12 dimensions of patient safety culture, 4 dimensions recorded relatively high positive response rates (>50%): organizational learning-continuous improvement (87.1%), teamwork within units (86.8%), feedback and communication about errors (58.5%), and supervisor/manager expectations and actions promoting patient safety (55.6%). 8 dimensions recorded relatively low positive response rates (<50%): nonpunitive responses to errors (24.1%), hospital handoffs and transitions (27.1%), staffing (28.6%), the frequency of event reporting (32.4%), teamwork across units (33.2%), communication openness (39.7%), management support for patient safety (48.7%), and overall perceptions of patient safety (49.3%). The overall level of patient safety culture was measured at 47.6%. The ECMO team should immediately address issues of nonpunitive responses to errors, hospital handoffs and transitions, and staffing to improve the safety of ECMO. Going forward, the head of the ECMO team should regard patient safety culture as a top priority, improve staff satisfaction, standardize the transfer and handover process, and create a blame-free environment to facilitate event reporting.