bluuebunny/crossref_metadata_2025 huggingface dataset:
A long noncoding RNA promotes parasite differentiation in African trypanosomes
Authors: Guegan Fabien , Rajan K. Shanmugha , Bento Fábio , Pinto-Neves Daniel , Sequeira Mariana , Gumińska Natalia , Mroczek Seweryn , Dziembowski Andrzej , Cohen-Chalamish Smadar , Doniger Tirza , Galili Beathrice , Estévez Antonio M. , Notredame Cedric , Michaeli Shulamit , Figueiredo Luisa M.
Published: June 2022

The parasite
Trypanosoma brucei
causes African sleeping sickness that is fatal to patients if untreated. Parasite differentiation from a replicative slender form into a quiescent stumpy form promotes host survival and parasite transmission. Long noncoding RNAs (lncRNAs) are known to regulate cell differentiation in other eukaryotes. To determine whether lncRNAs are also involved in parasite differentiation, we used RNA sequencing to survey the
T. brucei
genome, identifying 1428 previously uncharacterized lncRNA genes. We find that
grumpy
lncRNA is a key regulator that promotes parasite differentiation into the quiescent stumpy form. This function is promoted by a small nucleolar RNA encoded within the
grumpy
lncRNA.
snoGRUMPY
binds to messenger RNAs of at least two stumpy regulatory genes, promoting their expression.
grumpy
overexpression reduces parasitemia in infected mice. Our analyses suggest that
T. brucei
lncRNAs modulate parasite-host interactions and provide a mechanism by which
grumpy
regulates cell differentiation in trypanosomes.
Functional Characterization of a Regiospecific Sugar-O-Methyltransferase fromNocardia
Authors: Poudel Purna Bahadur , Pandey Ramesh Prasad , Dhakal Dipesh , Kim Tae-Su , Nguyen Trang Thi Huyen , Jung Hye Jin , Shin Hee Jeong , Timalsina Binod , Sohng Jae Kyung
Published: June 2022

ThnM1 is a putative sugar-O-methyltransferase produced by theNocardiasp. strain CS682 and is encoded by a gene belonging to the biosynthetic gene cluster (BGC) of 1-(α-l-(2-O-methyl)-6-deoxymannopyranosyloxy)-3,6,8-trimethoxynaphthalene. We demonstrated that ThnM1 is a promiscuous enzyme with regiospecific activity at the 2′-OH of rhamnose.
Sickle cell disease in children: an update of the evidence in low- and middle-income settings
Authors: Odame Isaac
Published: June 2022

Sickle cell disease (SCD), one of the most common monogenetic diseases in the world, is associated with multisystemic complications that begin in childhood. Most of the babies homozygous for the sickle haemoglobin gene are born in sub-Saharan Africa. Over the years, progress has been made with early diagnosis through newborn screening, penicillin prophylaxis, pneumococcal immunisation, transcranial Doppler (TCD) screening, hydroxyurea therapy and chronic blood transfusions with remarkably improved survival and quality of life of children with SCD. However, wide disparities in outcomes exist between high-income countries (HICs) where over 90% survive to adulthood, and low-income and middle-income countries (LMICs) where less than half achieve that milestone. Even in HICs, racial inequities pose barriers to accessing specialised care and receiving treatment for acute pain episodes. Better understanding of SCD pathophysiology is being exploited to develop new disease-modifying drugs and gene therapy approaches to further improve outcomes. Bone marrow transplantation is established as a curative treatment for SCD, but it is largely unavailable in LMICs. To bridge the disparity and inequity gaps, innovative approaches are needed in LMICs. Validated and more affordable, easy-to-use point-of-care tests offer opportunities to link early diagnosis with immunisation programmes and healthcare encounters. Widespread use of hydroxyurea therapy—a relatively affordable and effective disease-modifying drug—in LMICs would help improve survival and quality of life. Integration of SCD treatment into primary care linked to district level/provincial hospitals that are supported with evidence-based guidelines will help extend needed interventions to many more patients living in LMICs.
Improving medical consults for surgical inpatients: a quality improvement project using an e-referral system linked to clinical pathways
Authors: Amer Mahmoud , Ghosh Prosen , Chatterjee Animesh
Published: June 2022

Surgical inpatients referred to medicine with acute medical problems represent a complex patient population, vulnerable to fragmented care and suboptimal outcomes. They can also be a source of staff dissatisfaction in busy or understaffed departments. Comanagement by surgical and medical staff may improve outcomes but requires dedicated resources and the evidence for other interventions is scarce. We aimed to assess staff experience, demographics and clinical outcomes of this patient population at our hospital and develop an intervention aiming to improve medical staff experience, without compromising clinical outcomes.

Staff were surveyed before and after the intervention to measure staff experience. Demographics and clinical outcomes were collected for 60 referrals at baseline and 29 referrals postintervention (an e-referral system linked to locally developed clinical pathways). Clinical outcomes were delay time (time from referral submission to review), length of stay, 30-day mortality and 30-day readmissions.

Medical staff experience improved from majority negative or neutral ratings to majority positive ratings postintervention and 100% of staff surveyed supported ongoing use of the intervention. There were no negative impacts on clinical outcomes, which acted as balancing measures.

Medical staff experience improved, without compromising clinical outcomes. The e-referral system doubles as a platform for ongoing quality improvement.
Association of the COVID-19 pandemic with bystander cardiopulmonary resuscitation for out-of-hospital cardiac arrest: a population-based analysis in Tokyo, Japan
Authors: Shibahashi Keita , Kawabata Hiromitsu , Sugiyama Kazuhiro , Hamabe Yuichi
Published: June 2022

Background

The impact of the COVID-19 pandemic on bystander cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest (OHCA) is unclear. This study aimed to investigate whether rates of bystander CPR and patient outcomes changed during the initial state of emergency declared in Tokyo for the COVID-19 pandemic.

Methods

This retrospective study used data from a population-based database of OHCA maintained by the Tokyo Fire Department. By comparing data from the periods before (18 February to 6 April 2020) and during the declaration of a state of emergency (7 April 2020 to 25 May 2020), we estimated the change in bystander CPR rate, prehospital return of spontaneous circulation, and survival and neurological outcomes 1 month after OHCA, accounting for outcome trends in 2019. We performed a multivariate regression analysis to evaluate the potential mechanisms for associations between the state of emergency and these outcomes.

Results

The witnessed arrest rates before and after the declaration periods in 2020 were 42.5% and 45.1%, respectively, compared with 44.1% and 44.7% in the respective corresponding periods in 2019. The difference between the two periods in 2020 was not statistically significant when the trend in 2019 was considered. The bystander CPR rates before and after the declaration periods significantly increased from 34.4% to 43.9% in 2020, an 8.3% increase after adjusting for the trend in 2019. This finding was significant even after adjusting for patient and bystander characteristics and the emergency medical service response. There were no significant differences between the two periods in the other study outcomes.

Conclusion

The COVID-19 pandemic was associated with an improvement in the bystander CPR rate in Tokyo, while patient outcomes were maintained. Pandemic-related changes in patient and bystander characteristics do not fully explain the underlying mechanism; there may be other mechanisms through which the community response to public emergency increased during the pandemic.
Endothelin system expression in the kidney following cisplatin-induced acute kidney injury in male and female mice
Authors: Gales Anabelle , Monteiro-Pai Sureena , Hyndman Kelly A.
Published: June 2022

The chemotherapeutic agent cisplatin accumulates in the kidney and induces acute kidney injury (AKI). Preclinical and clinical studies suggest that young female mice and women show greater recovery from cisplatin-AKI compared to young male mice and men. The endothelin (ET) and ET receptors are enriched in the kidney and may be dysfunctional in cisplatin-AKI; however, there is a gap in our knowledge about the putative effects of sex and cisplatin on the renal ET system. We hypothesized that cisplatin-AKI male and female mice will have increased expression of the renal ET system. As expected, all cisplatin-AKI mice had kidney damage and body weight loss greater than control mice. Cisplatin-AKI mice had greater cortical Edn1, Edn3, Ednra, and Ednrb, while outer medullary Ednra was significantly suppressed in both sexes. Of the ∼25 000 genes sequenced from the inner medulla, only 91 genes (comparing saline mice) and 134 genes (comparing cisplatin-AKI mice) were differentially expressed and they were unrelated to the ET system. However, Edn1 was significantly greater in the inner medulla of male and female cisplatin-AKI mice. Thus, RNA profiles of the ET system were significantly affected by cisplatin-AKI throughout the kidney regardless of sex and this may help determine the therapeutic potential of targeting the ET receptors in cisplatin-AKI.
Search for vector-like bottom with decay B → Zb considering large width effect at high energy e−γ collision
Authors: Li Haitao , Zhang Guoqing
Published: June 2022

We focus on the large width effect on the possibility of excluding or discovering the vector-like bottom quark that is singlet under SU(2) transform at the [Formula: see text] collisions. Focusing on the 3 TeV stage of the future Compact Linear Collider (CLIC), the process of single vector-like bottom quark production [Formula: see text] is investigated. Subsequently, the [Formula: see text] boson decays to one light-flavor lepton pair [Formula: see text], and the top quark decay to [Formula: see text] boson and bottom quark following with [Formula: see text] boson hadronic decay [Formula: see text]. By launching a comprehensive signal and background collider simulation, we obtain [Formula: see text] exclusion limit and [Formula: see text] discovering prospect based on coupling strength and mass of vector-like quark. We assume the integrated luminosity is 5 ab[Formula: see text]. Specially, we take the systemic uncertainty effect on the possibility of excluding or discovering the vector-like bottom quark into account. We find that the excluding irrelated region is [Formula: see text] and [Formula: see text] GeV, and the discovering irrelated region is [Formula: see text] and [Formula: see text] GeV in view of the systemic uncertainty [Formula: see text].
Searching for Hidden Connections Between the Evolution of Poverty in Developing Countries and Information Technology
Authors: Tulenty Dmitry , Likhouzova Tetiana , Riabinina Natalia
Published: June 2022

In today’s economy, information technology is present in all aspects of life and has the potential to be used for the development of society. The study aims to find hidden connections between the evolution of poverty in developing countries and information technology. The methodology of the study is based on the monitoring of statistical data from the world atlas Knoema, which characterizes the economic development of countries and the level of poverty, as well as data from the International Telecommunication Union, which characterizes the level of development of information technology in countries around the world. As a result of the study, the evolutionary changes of gross domestic product and the development of information technology were traced, with the subsequent establishment of a relationship between them, confirmed on the basis of the method of rating scores. Finally, a comparative analysis was made to identify the causal links between the evolution of poverty and information technology through the precise indicators that Knoema and the International Telecommunication Union collect to trace the regulatory environment within a country such as the affordability of ICT services, ICT literacy, and the poverty rate. It was found that despite the availability of information technology price policy in developing countries and the uneven growth of GDP mainly in post-Soviet countries, except for the period of the COVID-19 crisis, gaps were identified in the form of low or no ICT literacy at poverty thresholds of 3.8–9.8%. This demonstrates the hidden links between poverty and population’s practical knowledge of information technology, and may constrain the socio-economic development of developing countries. The findings can be used by policymakers as a tool to combat poverty, and are also useful to scholars and economists who work on the digitalization of the population and inclusive education.
Analysis and Workload Characterization of the CERN EOS Storage System
Authors: Purandare Devashish R. , Bittman Daniel , Miller Ethan L.
Published: June 2022

Modern, large-scale scientific computing runs on complex exascale storage systems that support even more complex data workloads. Understanding the data access and movement patterns is vital for informing the design of future iterations of existing systems and next-generation systems. Yet we are lacking in publicly available traces and tools to help us understand even one system in depth, let alone correlate long-term cross-system trends.
The Economics of Postharvest Loss and Loss-Preventing Technologies in Developing Countries
Authors: Ricker-Gilbert Jacob , Omotilewa Oluwatoba , Kadjo Didier
Published: June 2022

This article reviews the recent literature that has evaluated the effectiveness of postharvest loss (PHL)-reducing technologies for grains among smallholder farmers and small-scale traders in sub-Saharan Africa. We also develop a conceptual framework for identifying and quantifying different types of PHL that include physical quantity losses along with quality losses that are both observable (e.g., discoloration, insect damage, mold growth, and odor) and unobservable (e.g., aflatoxin contamination, chemical residues, and nutrient content losses). The framework considers how PHL affects producers, consumers, and society as a whole. We find that although reducing postharvest quantity losses often receives more attention from researchers, it is the loss of quality, particularly unobservable quality issues, that has a large effect on food safety and nutrition. A review of the literature suggests that cost-effective technologies to reduce PHL exist, but facilitating their adoption requires action from both the public and private sectors.
Adoption of Wireless Network and Artificial Intelligence Algorithm in Chinese-English Tense Translation
Authors: Li Xiaojing
Published: June 2022

In order to solve the problem of tense consistency in Chinese-English neural machine translation (NMT) system, a Chinese verb tense annotation model is proposed. Firstly, a neural network is used to build a Chinese tense annotation model. During the translation process, the source tense is passed to the target side through the alignment matrix of the traditional Attention mechanism. The probability of the candidate words inconsistent with the corresponding tense of source words in the candidate translation word set is also reduced. Then, the Chinese-English temporal annotation algorithm is integrated into the MT model, so as to build a Chinese-English translation system with temporal processing function. The essence of the system is that, in the process of translation, Chinese-English temporal annotation algorithm is used to obtain temporal information from Chinese sentences and transfer it to the corresponding English sentences, so as to realize the temporal processing of English sentences and obtain the English sentences corresponding to the tenses of the original Chinese sentences. The experimental results show that the Chinese tense annotation model of bidirectional long short-term memory (LSTM) is more accurate for the prediction of Chinese verb tense, so the improvement effect of NMT model is also the most obvious, especially on the NIST06 test set, where the BLEU value is increased by 1.07%. As the mainstream translation model, the transformer model contains multihead Attention mechanism, which can pay attention to some temporal information and has a certain processing ability for temporal translation. It solves the tense problems encountered in the process of MT and improves the credibility of Chinese-English machine translation (MT).
Clinicopathological, Oncogenic, and 18F‐FDG PET/CT Features of Primary Pulmonary Carcinoid in Resection Specimens
Authors: Chen Yun , Dong Yun , Shi Jingyun , Zhao Long
Published: June 2022

Objectives. The metabolic parameters which included mean standardised uptake value (SUVmean), metabolic tumour volume (MTV), total lesion glycolysis (TLG), maximum standardised uptake lean body mass (SULmax), and maximum standardised uptake body surface area (SUVbsa) have rarely been investigated in pulmonary carcinoid (PC). This study aimed to retrospectively compare the 18F‐FDG PET/CT features of PC subtypes and observe clinicopathological and oncogenic characteristics of PC. Methods. We performed a retrospective review in 60 patients with PC, from January 2016 to November 2021, who underwent the 18F‐FDG PET/CT scan. All the PC diagnoses were histopathologic confirmed by surgical samples. The metabolic and morphological features were obtained from 18F‐FDG PET/CT images. The ratio of metabolic to morphological lesion volumes (MMVR) was calculated. Results. Sixty patients with PC were consecutively identified, including 39 patients (65.0%) with typical carcinoids (TCs) and 21 (35.0%) with atypical carcinoids (ACs). One (1/21) patient had mutation in BRAF. The ACs have a larger size (P < 0.001), more metastatic lymph nodes (P = 0.011), higher Ki‐67 expression (P < 0.001), higher SUVmax values (P = 0.003), higher SUVmean values (P = 0.006), higher SULmax values (P = 0.005), higher SUVbsa values (P = 0.001), higher MTV values (P = 0.033), and higher TLG values (P = 0.002). The multivariate analysis showed that MMVR (P = 0.020) was significantly associated with AC. For predicting AC, the optimal cut‐off value of SUVmax, SUVmean, SULmax, SUVbsa, MTV, TLG, and the maximum diameter was 5.19, 3.18, 2.65, 1.47, 4.36, 18.44, and 3.0, respectively. The AUC values of above mentioned parameters was 0.756 (95%CI, 0.631–881; P = 0.001), 0.735 (95%CI, 0.602–868; P = 0.003), 0.736 (95%CI, 0.607–865; P = 0.003), 0.742 (95%CI, 0.612–873; P = 0.002), 0.593 (95%CI, 0.430–755; P = 0.239), 0.680 (95%CI, 0.531–829; P = 0.022), and 0.733 (95%CI, 0.598–868; P = 0.003), respectively. For predicting TC, the optimal cut‐off value of the MMVR was 0.92, and the AUC value was 0.780 (95%CI, 0.647–0.913; P < 0.001). Conclusion. 18F‐FDG PET/CT can simultaneously reveal the metabolic and morphological characteristics of PC, which is important in the differentiation for histopathologic subtypes.
Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media
Authors: S Neelakandan , M Sridevi , Chandrasekaran Saravanan , K Murugeswari , Singh Pundir Aditya Kumar , R Sridevi , Lingaiah T.Bheema
Published: June 2022

As a result of the ease with which the internet and cell phones can be accessed, online social networks (OSN) and social media have seen a significant increase in popularity in recent years. Security and privacy, on the other hand, are the key concerns in online social networks and other social media platforms. On the other hand, cyberbullying (CB) is a serious problem that needs to be addressed on social media platforms. Known as cyberbullying (CB), it is defined as a repetitive, purposeful, and aggressive reaction performed by individuals through the use of information and communication technology (ICT) platforms such as social media platforms, the internet, and cell phones. It is made up of hate messages that are sent by e-mail, chat rooms, and social media platforms, which are accessed through computers and mobile phones. The detection and categorization of CB using deep learning (DL) models in social networks are, therefore, crucial in order to combat this trend. Feature subset selection with deep learning-based CB detection and categorization (FSSDL-CBDC) is a novel approach for social networks that combines deep learning with feature subset selection. The suggested FSSDL-CBDC technique consists of a number of phases, including preprocessing, feature selection, and classification, among others. Additionally, a binary coyote optimization (BCO)-based feature subset selection (BCO-FSS) technique is employed to select a subset of features that will increase classification performance by using the BCO algorithm. Additionally, the salp swarm algorithm (SSA) is used in conjunction with a deep belief network (DBN), which is known to as the SSA-DBN model, to detect and characterize cyberbullying in social media networks and other online environments. The development of the BCO-FSS and SSA-DBN models for the detection and classification of cyberbullying highlights the originality of the research. A large number of simulations were carried out to illustrate the superior classification performance of the proposed FSSDL-CBDC technique. The SSA-DBN model has exhibited superior accuracy to the other algorithms, with a 99.983 % accuracy rate. Overall, the experimental results revealed that the FSSDL-CBDC technique beats the other strategies in a number of different aspects.
Precision Marketing Optimization Model of e-Commerce Platform Based on Collaborative Filtering Algorithm
Authors: Yu Zhifang
Published: June 2022

e-commerce mode shows great modern commercial value. In particular, online shopping has become a fashion and trend for people because of its convenience and rapidness. How to find the information users that need accurately and quickly in the increasing network information and recommend products is a big problem. Although precision marketing was mainly used in e-commerce activities in the past, due to factors such as the technical basis and data analysis ability at that time, there was not enough technical ability and theoretical basis to deeply mine and make use of the existing data. The collaborative filtering algorithm is one of the most widely used and successful recommendation techniques, but it has obvious defects. In this paper, the nearest neighbor collaborative filtering recommendation algorithm based on statistical eigenvalue classification is proposed in the collaborative filtering algorithm. By calculating the similarity between items, the user’s rating of unrated items is preliminarily predicted, the nearest neighbor of items is formed, and the classified cluster of items is formed. The matrix is filled by the similarity between related items. The cold treatment problem is solved under the optimization of the ant colony algorithm. In the experiment of the model, the optimization rate for the cold start problem is 87.3%.
Circulating MMP-12 as Potential Biomarker in Evaluating Disease Severity and Efficacy of Sublingual Immunotherapy in Allergic Rhinitis
Authors: Zhou Yandan , Xu Min , Gong Wei , Kang Xiaoming , Guo Renzhong , Wen Jie , Zhou Dinggang , Wang Manjing , Shi Dazhi , Jing Qiancheng
Published: June 2022

Background. Allergic rhinitis (AR) is a highly heterogeneous disease, and allergen-specific immunotherapy (AIT) is an effective treatment. This study aims to evaluate the circulating mas-related G protein-coupled receptor-X2 (MRGPRX2) and matrix metalloproteinase-12 (MMP-12) levels in evaluating disease severity and predicting efficacy of SLIT in AR patients. Methods. We enrolled 110 moderate-severe persist AR patients (AR group) and 40 healthy controls (HC group). Circulating levels of MRGPRX2 and MMP-12 were measured, and their associations with disease severity were evaluated. All AR patients were assigned to receive sublingual immunotherapy (SLIT), and the efficacy was evaluated, and serum samples were collected at 1 year and 3 years after treatment. The correlations between serum MRGPRX2 and MMP-12 and clinical efficacy were assessed. Results. The serum concentrations of MRGPRX2 and MMP-12 were significantly higher in the AR group than the HC group, and the elevated MMP-12 levels were correlated with VAS and TNSS, and serum MRGPRX2 levels were correlated with VAS. Finally, 100 and 80 patients completed 1-year and 3-year follow-up and were classified into effective and ineffective groups. Serum MRGPRX2 and MMP-12 levels were lower in the effective group than the ineffective group. Although serum MRGPRX2 and MMP-12 levels did not significantly change after 1 year SLIT, serum MMP-12 levels were decreased 3 years post-SLIT than baseline and 1 year post-SLIT levels. Receiver operating characteristic (ROC) showed that serum MMP-12 was a potential biomarker for predicting the efficacy of SLIT. Conclusion. Serum MRGPRX2 and MMP-12 appeared to be promising biological indicators in reflecting disease severity in AR patients. Moreover, circulating MMP-12 might serve as a reliable predictor for clinical responsiveness of SLIT.
Evaluation of the Physical Education Teaching and Training Efficiency by the Integration of Ideological and Political Courses with Lightweight Deep Learning
Authors: Zhang Shuaiqi
Published: June 2022

The purpose is to improve the training effect of physical education (PE) based on the teaching concept of ideological and political courses. The research is supported by the lightweight deep learning (DL) model of the Internet of things (IoT). Through intelligent recognition and classification of human action and images, it discusses the PE and training scheme based on the lightweight DL model. In addition, by the optimization of the accelerated compression algorithm and the evaluation of the PE and training effect of the Openpose algorithm, an optimization model of the PE and training effect has been successfully established. The research data results indicate that after 120 iterations of the model, the system recognition accuracy of the convolutional neural network (CNN) algorithm can only be improved to about 75%, while the recognition accuracy of the Openpose algorithm can reach about 85%. Compared with the CNN algorithm under the same number of iterations, the recognition accuracy can be improved by 9.8%. In addition, when the number of nodes in the network layer is 60, the system delay time of the proposed Openpose algorithm is smaller. At this time, the system delay of the algorithm is only 10.8s. Compared with the CNN algorithm under the same conditions, the proposed algorithm can save at least 1.2s in system delay time. The advantage of the algorithm is that it can improve the efficiency of physical training and teaching, and this research has important reference significance for the digital and intelligent development of the teaching mode of PE.
PLGA Containing Human Adipose-Derived Stem Cell-Derived Extracellular Vesicles Accelerates the Repair of Alveolar Bone Defects via Transfer of CGRP
Authors: Yang Yang , Zhang Bo , Yang Yufan , Peng Bibo , Ye Rui
Published: June 2022

Calcitonin gene-related peptide (CGRP) is an important neuropeptide expressed in the nerve fibers during bone repair. Here, we aimed to pinpoint the role of CGRP in the osteogenic differentiation property of human periodontal ligament stem cells (hPDLSCs) and the resultant repair of alveolar bone defect. The key factor related to the osteogenic differentiation of hPDLSCs was retrieved from the GEO database. After extraction from hADSCs (hADSC-EVs) and identification, EVs were subjected to coculture with hPDLSCs, in which the expression patterns of CGRP and osteogenic differentiation marker proteins (ALP, RUNX2, and OCN), as well as ALP activity, were detected. A novel cell-free tissue-engineered bone (TEB) comprised of PLGA/pDA and hADSC-EVs was implanted into the rats with alveolar bone defects to evaluate the repair of alveolar bone defects. CGRP was enriched in hADSC-EVs. hADSCs delivered CGRP to hPDLSCs through EVs, thereby promoting the osteogenic differentiation potential of hPDLSCs. The PLGA/pDA-EV scaffold released EVs slowly, and its implantation into the rat alveolar bone defect area significantly induced bone defect repair, which was reversed by further knockdown of CGRP. In conclusion, our newly discovered cell-free system consisted of hADSC-EVs, and PLGA/pDA scaffold shows promising function in repairing alveolar bone defects.
[Retracted] Clinical Observation and Value Analysis of Endovascular Interventional Therapy for Intracranial Venous Sinus Thrombosis
Authors: Wang Cheng , Sun Jun , Shao Junfei , Zhang Xiaolu , Chen Xiang
Published: June 2022

The main aim of this study was to investigate the therapeutic effect of endovascular interventional therapy on cerebral venous sinus thrombosis (CVST). 137 patients with CVST were included, 92 patients were treated with interventional therapy, and 45 patients were treated with conventional anticoagulant therapy. Through endovascular therapy (EVT) combined with therapy, the patients were treated with EVT in combination with conventional anticoagulant therapy, and the prognosis of the two groups of patients was evaluated. The results showed that 26 patients were complicated with female‐specific infections in the combined EVT group, and 7 patients had female‐specific infections in the simple anticoagulant therapy (LMWH) group. In terms of central nervous system infections, the EVT group was significantly lower than the LMWH group, P < 0.001, and the difference was statistically significant. There were 2 cases of EVT involving the inferior sagittal sinus and 12 cases of LMWH involving the inferior sagittal sinus, P < 0.001, and the difference had statistical significance. Through the RANKIN scale (mRS) score, it was classified as complete recovery and good prognosis (dependent variable). The patients receiving EVT with good prognosis (96.7%) were more than those receiving simple anticoagulant therapy (84.4%), and 78.3% were completely recovered after EVT, and 77.5% were completely recovered after anticoagulant therapy. Therefore, it can be concluded that gender, malignant tumors, thrombosis, and sinuses are all risk factors affecting the prognosis of patients; both endovascular interventional therapy and anticoagulant therapy can significantly improve the prognosis of patients.
Phoning It in: Social Anxiety, Intolerance of Uncertainty, and Anxiety Reduction Motivations Predict Phone Use in Social Situations
Authors: Brown Genavee , Medcalf-Bell Ruth
Published: June 2022

Based on meta-analysis, a strong link between social anxiety and phone use has been established in the literature, but the underlying mechanisms of why social anxiety might cause people to use their phones are poorly understood. Intolerance of uncertainty is a transdiagnostic factor of many anxiety disorders and may help explain why socially anxious people tend to use their mobile phones as a tool to cope with, or distract from, inherently ambiguous social interactions. This nonexperimental, correlational study had four core aims: to examine whether increases in social anxiety would relate to (1) increased phone usage during social interactions in groups or (2) phone dependency; to examine whether intolerance of uncertainty and motivation of phone use mediated either of these relationships. To test these models, an opportunity sample of 252 participants completed a series of online questionnaires containing measures of social anxiety, intolerance of uncertainty, and phone usage. Correlational analysis of results showed increased phone dependency and phone use in social groups for people with high social anxiety. Serial mediation analysis showed that people who were more socially anxious also reported higher levels of intolerance of uncertainty, greater motives to use phones to reduce anxiety, and higher phone use. We discuss these results with specific reference to compensatory internet use theory. In sum, it appears that for people with social anxiety, phone use in social situations tends to be motivated by reducing anxiety.
Contemporary Concepts in Osseointegration of Dental Implants: A Review
Authors: Pandey Chandrashekhar , Rokaya Dinesh , Bhattarai Bishwa Prakash
Published: June 2022

In a society highly conscious of esthetics, prosthetic rehabilitation of lost teeth with tissue‐integrated implants has gained wide acceptance and demand by patients and clinicians. The backbone of these tissue‐integrated implants is the biotechnical process of osseointegration. Although the concept has been introduced and discussed for ages, the deepening knowledge about its cellular and molecular mechanisms has led the researchers to borrow further into the factors influencing the process of osseointegration. This has aided in the hastening and improving the process of osseointegration by exploiting several, even the minutest, details and events taking place in this natural process. Recently, due to the high esthetic expectations of the patients, the implants are being loaded immediately, which demands a high degree of implant stability. Implant stability, especially secondary stability, largely depends on bone formation and integration of implants to the osseous tissues. Various factors that influence the rate and success of osseointegration can either be categorized as those related to implant characteristics like the physical and chemical macro‐ and microdesign of implants or the bone characteristics like the amount and quality of bone and the local and systemic host conditions, or the time or protocol followed for the functional loading of the dental implant. To address the shortcomings in osseointegration due to any of the factors, it is mandatory that continuous and reliable monitoring of the status of osseointegration is done. This review attempts to encompass the mechanisms, factors affecting, and methods to assess osseointegration, followed by a discussion on the recent advances and future perspectives in dental implantology to enhance the process of osseointegration. The review was aimed at igniting the inquisitive minds to usher further the development of technology that enhances osseointegration.
Intelligent Traffic Flow Prediction and Analysis Based on Internet of Things and Big Data
Authors: Liu Bing , Zhang Tao , Hu Weicheng
Published: June 2022

Nowadays, the problem of road traffic safety cannot be ignored. Almost all major cities have problems such as poor traffic environment and low road efficiency. Large-scale and long-term traffic congestion occurs almost every day. Transportation has developed rapidly, and more and more advanced means of transportation have emerged. However, automobile is one of the main means of transportation for people to travel. In the world, there are serious traffic jams in almost all cities. The excessive traffic flow every day leads to the paralysis of the urban transportation system, which brings great inconvenience and impact to people’s travel. Various countries have also actively taken corresponding measures, i.e., traffic diversion, number restriction, or expanding the scale of the road network, but these measures can bring little effect. Traditional intelligent traffic flow forecasting has some problems, such as low accuracy and delay. Aiming at this problem, this paper uses the model of the combination of Internet of Things and big data to apply and analyze its social benefits in intelligent traffic flow forecasting and analyzes its three-tier network architecture model, namely, perception layer, network layer, and application layer. Research and analyze the mode of combining cloud computing and edge computing. From the multiperspective linear discriminant analysis algorithm of the combination method of combining the same points and differences between data and data into multiple atomic services, intelligent traffic flow prediction based on the combination of Internet of Things and big data is performed. Through the monitoring and extraction of relevant traffic flow data, data analysis, processing and storage, and visual display, improve the accuracy and effectiveness and make it easier to improve the prediction accuracy of overall traffic flow. The traffic flow prediction of the system of Internet of Things and big data is given through the case experiment. The method proposed in this paper can be applied in intelligent transportation services and can predict the stability of transportation and traffic flow in real time so as to optimize traffic congestion, reduce manual intervention, and achieve the goal of intelligent traffic management.
Continual Digital Twin Technology Application on the Construction of English-Chinese Bilingual Teaching Mode
Authors: Haijie Wang , Li Zhang
Published: June 2022

This study enhances the conventional English-Chinese bilingual teaching mode by incorporating the continuous digital twin technology into its design. In addition to the typical video and audio transmission teaching functions, the English-Chinese bilingual distant education system also includes a number of interactive capabilities. The approach described in this study is mostly utilized for bilingual instruction in colleges and universities, and the instruction is enhanced by digital twin technology. In this work, the system performance test focuses primarily on the evaluation of teaching quality and teaching satisfaction. Among these are the evaluation of teaching quality by questionnaires, the evaluation of this paper’s system by a number of senior teachers, and the calculation of student satisfaction through teaching experiments. The results of the study indicate that the strategy described in this work has a particular effect.
Floristic Composition and Diversity of Vascular Plants inRemnant Patches of Arsi-Bale Massif of Oromia RegionalState, Ethiopia
Authors: Awoke Negalign , Nemomissa Sileshi , Bekele Tamrat
Published: June 2022

This research was done in Arsi-Bale Massif remnant vegetation of southeast Ethiopia to investigate vascular plant diversity and endemism in forest patch, riverine, and grazing land-use types. A total of 126 quadrats, each with 900 m2 (30 m × 30 m), were selected systematically along the altitudinal gradient. Shannon Weiner Diversity index and R Package 3.2 were applied to analyze species composition and diversity, whereas the similarity ratio among land use and other related vegetation was determined using Sorensen’s index. From the study, 382 vascular plant species under 223 genera and 92 families were identified. The growth forms revealed that there were 118 woody (26 trees, 10 lianas, and 82 shrubs) and 239 herbaceous species of plant. Of these, 216, 165, and 154 species are shared by riverine, forest patch, and grazing land-use types, respectively. Asteraceae with 68 species was the most dominant family in the present study, followed by Poaceae, Lamiaceae, and Cyperaceae with 30, 21, and 13 species, respectively. Forty-four endemic species were documented in this study. According to the IUCN Red List, 22 species were not evaluated; 10 species were least concerned; 1 species was endangered; and 1 species was vulnerable, while 4 species have been categorized as not threatened. The highest similarity was observed between grazing and riverine land-use types; this may be due to the presence of many adjacent plots in both land use, associated mechanisms of adaptation, and requirements for species occurrence. Moreover, the floristic composition similarity of the study area in comparison with other vegetation types of Ethiopia shows variation (Ss = 0.223–0.526), maybe due to climatic variation, ecological distance, and disturbances. Generally, the total diversity and evenness of the studied remnant vegetation were 2.917 and 0.948, respectively. This lower diversity value clearly indicates that there are many human-induced factors deteriorating the plant species of the studied vegetation. Therefore, the concerned body of the government should work with local farmers to conserve the remaining plant species including many endemic species by developing appropriate conservation and management plans.
Electrochemical Intelligent Recognition of Mineral Materials Based on Superpixel Image Segmentation
Authors: Liu Weiping , Jin Fangzhou
Published: June 2022

In order to study the needs of identifying rock thin-section samples by manual observation in the field of geology, a method of electrochemical intelligent recognition of mineral materials based on superpixel image segmentation is proposed. The image histogram of this method can be used to represent the distribution of each pixel value of the image. This interval is consistent with the number of pixels in the method. And using the experiment, the CPU used in the experiment is Intel® Core™ i7-8700 3.2 GHz, the memory is 16 GB, and the GPU is NVIDIA GeForce GT × 1080 Ti, which ensures the accuracy of the experiment. Based on all the experimental results, it can be seen that after the two-stage processing of the designed superpixel algorithm and the region merging algorithm, the final sandstone slice image segmentation results are close to the results of manual labeling, which is helpful for the subsequent research on sandstone component identification. The feasibility of this method was verified.
Exhibition of Dielectric Property Based on Soil Class and Moisture Presence for Bengaluru District
Authors: Kumar Sujit , Ahalya N. , Singh Vikash , Patil Pravin P. , Raghavendra Rao A. V. , Nirmala Jyothsna A. , Abhilash P. , kushwah Rupesh , Palukaran Thimothy Sojan
Published: June 2022

This research examined the dielectric characteristics of soils by utilizing four types of soil (clay-loam, loam, clay, and Frank) in a vector network analyzer (VNA) in the 600–8000 MHz microwave frequency range at ambient temperature (25°C ± 3°C). In this experiment, three observations were performed on the basis of soil moisture contents (dry, 33%, 66%, and 100% field capacities (CC)). Both actual (dielectric constant) and fictional (loss factor) parts of the dielectric characteristics improved with increasing soil moisture; however, the responses were not linear. It was observed that dry soil dielectric characteristics were deficient when compared to wet soil. In conclusion, the dielectric behavior of soil mainly was resolute by the moisture in the soil. Frank soil had considerably lower dielectric characteristics, while the Jain University (JU) clay soil had a far more significant dielectric loss factor.
[Retracted] Demographics and Economic Burden of Nasopharyngeal Carcinoma Inpatients
Authors: Yang Dong , Bin Nengfu , Zhou Ziyan , Li Zhiru , Shen Mingjun , Yang Chaolin , Qin Yating , Wang Rensheng , Lv Wei , Wei Bo , Zhou Lifang , Kang Min
Published: June 2022

Objective. Nasopharyngeal carcinoma is particularly prevalent in Guangdong and Guangxi (southern China); the economic burden of nasopharyngeal cancer patients is heavy in China. This study is aimed at retrospectively analyzing the basic features and economic burden of newly diagnosed nasopharyngeal carcinoma patients admitted to the First Affiliated Hospital of Guangxi Medical University and at providing a scientific basis for nasopharyngeal carcinoma prevention and control strategies. Methods. The data of 3,727 nasopharyngeal carcinoma inpatients diagnosed from January 2012 to December 2020 were extracted from the Guangxi Nasopharyngeal Carcinoma Healthcare Big Data Management Information Platform. Basic demographic characteristics, duration of hospital stay, and hospitalization cost of nasopharyngeal carcinoma patients were collected and analyzed statistically. Results. The incidence period of nasopharyngeal carcinoma was primarily from 30 to 69 years of age, with the 40–49‐year age group comprising the largest proportion of nasopharyngeal carcinoma patients, accounting for 34.18% of the patients with newly diagnosed nasopharyngeal carcinoma in the hospital. The male‐to‐female ratio was 2.87 : 1. There were 2,223 cases from rural areas, 2,153 from the Han ethnic group, and 1,460 from the Zhuang ethnic group, accounting for 59.65%, 55.77%, and 39.17% of the total number of cases, respectively. The average duration of hospitalization decreased whereas the average hospitalization cost increased annually. Multivariate analysis of hospitalization cost showed that the duration of hospital stay, rural/urban, and ethnicity was the main influencing factors: the longer the duration of hospital stay, the higher the hospitalization cost; patients from rural incurred lower costs than from urban; ethnic Zhuang patients incurred significantly lower costs than patients from other ethnicities. Conclusion. Early diagnosis and treatment should be actively carried out to reduce the incidence of nasopharyngeal carcinoma, especially for rural, ethnic Zhuang, and males in the 40–49‐year age group patients. The future research on nasopharyngeal carcinoma will focus on exploring the pathogenesis of nasopharyngeal carcinoma, improving the screening system, and reducing the burden on patients, in order to further improve the survival rate and quality of life of patients with nasopharyngeal carcinoma.
Dietary Clostridium butyricum Improves Growth Performance and Resistance to Ammonia Stress in Yellow Catfish (Pelteobagrus fulvidraco)
Authors: Li Peijia , Hou Dongqiang , Zhao Hongxia , Wang Hairui , Peng Kai , Cao Junming
Published: June 2022

The effects of dietary Clostridium butyricum (CB) on growth performance, intestinal morphology, tight junction proteins, and immune-related gene mRNA levels in Pelteobagrus fulvidraco were investigated. The fish were fed with diets containing 0 (control, CB0),

4.8
×

10

6

(CB1),

4.5
×

10

7

(CB2),

5.1
×

10

8

(CB3), and

3.6
×

10

9

(CB4) CFU/kg Clostridium butyricum for 56 days followed by a 72 h ammonia challenge. The results showed that significantly higher final weight, specific growth rate, body length, and intestinal weight were observed in fish fed with CB diets (

P
<
0.05

). The fish fed with CB1, CB2, and CB3 diets had significantly higher intestinal length, propionic acid concentration, and alkaline phosphatase activity and significantly lower feed conversion ratio than those in CB0 (

P
<
0.05

). Significantly higher concentrations of butyric acid and valeric acid and significantly lower malondialdehyde content were observed in CB4 than in CB0 (

P
<
0.05

). Intestosomatic index, villus length, villus width, intestinal protease, Na+/K+-ATPase, and creatine kinase activities were significantly increased in CB2 or CB3 than in CB0 (

P
<
0.05

). Fish in CB2 or CB3 had significantly lower content of interleukin 1β and interleukin 6 and relative expression of interleukin 1 (Il-1), interleukin 8 (Il-8), and nuclear transcription factor-κB (Nf-κb) compared to that in CB0 (

P
<
0.05

). Dietary CB significantly decreased the relative expression of myosin light chain kinase (Mlck) (P <0.05). Significantly higher relative expressions of claudin-1, zonula occludens protein-1, and occludin were observed in CB2, CB3, and CB4 compared to CB0 (

P
<
0.05

). Fish in CB0 had higher CMR than that in CB2, CB3, and CB4 under ammonia nitrogen stress for 48 and 72 h (

P
<
0.05

). Dietary Clostridium butyricum improved growth performance and resistance to ammonia stress in yellow catfish by increasing intestinal short-chain fatty acid (SCFA) productions, upregulating genes encoding tight junction proteins, downregulating transcription of proinflammatory factors Il-1 and Il-8, and inhibiting the Mlck/Nf-κb signaling pathway.