bluuebunny/crossref_metadata_2025 huggingface dataset:
Hepatic Vein and Arterial Vessel Segmentation in Liver Tumor Patients
Authors: Kuang Haopeng , Yang Zhongwei , Zhang Xukun , Tan Jinpeng , Wang Xiaoying , Zhang Lihua
Published: September 2022

Preoperative observation of liver status in patients with liver tumors by abdominal Computed Tomography (CT) imaging is one of the essential references for formulating surgical plans. Preoperative vessel segmentation in the patient’s liver region has become an increasingly important and challenging problem. Almost all existing methods first segment arterial and venous vessels on CT in the arterial and venous phases, respectively. Then, the two are directly registered to complete the reconstruction of the vascular system, ignoring the displacement and deformation of blood vessels caused by changes in body position and respiration in the two phases. We propose an unsupervised domain-adaptive two-stage vessel segmentation framework for simultaneous fine segmentation of arterial and venous vessels on venous phase CT. Specifically, we first achieve domain adaptation for arterial and venous phase CT using a modified cycle-consistent adversarial network. The newly added discriminator can improve the ability to generate and discriminate tiny blood vessels, making the domain-adaptive network more robust. The second-stage supervised training of arterial vessels was then performed on the translated arterial phase CT. In this process, we propose an orthogonal depth projection loss function to enhance the representation ability of the 3D U-shape segmentation network for the geometric information of the vessel model. The segmented venous vessels were also performed on venous phase CT in the second stage. Finally, we invited professional doctors to annotate arterial and venous vessels on the venous phase CT of the test set. The experimental results show that the segmentation accuracy of arterial and venous vessels on venous phase CT is 0.8454 and 0.8087, respectively. Our proposed framework can simultaneously achieve supervised segmentation of venous vessels and unsupervised segmentation of arterial vessels on venous phase CT. Our approach can be extended to other fields of medical segmentation, such as unsupervised domain adaptive segmentation of liver tumors at different CT phases, to facilitate the development of the community.
Primary Cilia: A Cellular Regulator of Articular Cartilage Degeneration
Authors: Zhou Haiqi , Wu Sha , Ling Huixian , Zhang Changjie , Kong Ying
Published: September 2022

Osteoarthritis (OA) is the most common joint disease that can cause pain and disability in adults. The main pathological characteristic of OA is cartilage degeneration, which is caused by chondrocyte apoptosis, cartilage matrix degradation, and inflammatory factor destruction. The current treatment for patients with OA focuses on delaying its progression, such as oral anti-inflammatory analgesics or injection of sodium gluconate into the joint cavity. Primary cilia are an important structure involved in cellular signal transduction. Thus, they are very sensitive to mechanical and physicochemical stimuli. It is reported that the primary cilia may play an important role in the development of OA. Here, we review the correlation between the morphology (location, length, incidence, and orientation) of chondrocyte primary cilia and OA and summarize the relevant signaling pathways in chondrocytes that could regulate the OA process through primary cilia, including Hedgehog, Wnt, and inflammation-related signaling pathways. These data provide new ideas for OA treatment.
High Expression of ACOT2 Predicts Worse Overall Survival and Abnormal Lipid Metabolism: A Potential Target for Acute Myeloid Leukemia
Authors: Yin Xuewei , Lyu Chunyi , Li Zonghong , Wang Qian , Ding Yi , Wang Yan , Qiu Yan , Cui Siyuan , Guo Dadong , Xu Ruirong
Published: September 2022

Acyl-CoA thioesterase (ACOT) plays a considerable role in lipid metabolism, which is closely related to the occurrence and development of cancer, nevertheless, its role has not been fully elucidated in acute myeloid leukemia (AML). To explore the role of ACOT2 in AML and to provide a potential therapeutic target for AML, the expression pattern of ACOT was investigated based on the TNMplot, Gene Expression Profiling Interactive Analysis (GEPIA), and Cancer Cell Line Encyclopedia (CCLE) database, and diagnostic value, prognostic value, and clinical phenotype of ACOT were explored based on data from The Cancer Genome Atlas (TCGA). Functional annotation and enrichment analysis of the common targets between ACOT2 coexpressed and AML-related genes were further performed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) analyses. The protein-protein interaction (PPI) network of ACOT2 coexpressed genes and functional ACOT2-related metabolites association network were constructed based on GeneMANIA and Human Metabolome Database. Among ACOTs, ACOT2 was highly expressed in AML compared to normal control subjects according to TNMplot, GEPIA, and CCLE database, which was significantly associated with poor overall survival (OS) in AML (

P
=
0.003

). Moreover, ACOT2 exhibited excellent diagnostic efficiency for AML (AUC: 1.000) and related to French-American-British (FAB) classification and cytogenetics. GO, KEGG, and GSEA analyses of 71 common targets between ACOT2 coexpressed and AML-related genes revealed that ACOT2 is closely related to ACOT1, ACOT4, enoyl-acyl carrier protein reductase, mitochondrial (MECR), puromycin-sensitive aminopeptidase (NPEPPS), SWI/SNF-related matrix-associated actin-dependent regulator of chromatin subfamily B member 1 (SMARCB1), and long-chain fatty acid-CoA ligase 1 (ACSL1) in PPI network, and plays a significant role in lipid metabolism, that is, involved in fatty acid elongation and biosynthesis of unsaturated fatty acids. Collectively, the increase of ACOT2 may be an important characteristic of worse OS and abnormal lipid metabolism, suggesting that ACOT2 may become a potential therapeutic target for AML.
Evaluation of the Acute Flaccid Paralysis Virological Surveillance System in Polio-Free Morocco, 2010–2018
Authors: Lemrabet Sanae , El Qazoui Maria , Idrissi Azzouzi Lalla Meryem , Rguig Ahmed , Elhamdaoui Malika , Filali-Maltouf Abdelkarim , Medraoui Leila , Oumzil Hicham
Published: September 2022

Background. The goal of Acute flaccid paralysis (AFP) surveillance is to comprehensively investigate and report any case of a child below 15 years with a floppy weakness. This is essential for the poliovirus eradication initiative. Objective. In this study, we analyzed the results of nine-year surveillance (2010–2018) of AFP in Morocco. Method. This was a descriptive, retrospective study of cases with AFP routinely documented at the National Referral Laboratory of Polio (NRLP) from 2010 to 2018. Results. Among the 884 AFP cases identified and analyzed, we identified 11 polioviruses as Sabin-like vaccine strains (PSL). PSL were isolated in 11 samples of AFP cases received at the laboratory, including one PSL1, three PSL2 + PSL3, one PSL1 + PSL2, and one PSL1 + 2 + 3. The annualized nonpolio AFP rate per 100,000 children under 15 years ranged from 0.84 during 2011–2015 to 2.29 in 2018. The stool adequacy indicator was poor and may be improved with better delivery times and maintaining the cold chain. The incidence of isolated nonpolio enteroviruses (NPEV) varied between 2.27% and 12.6%, with the average not exceeding 6.35%; the incidence remained low compared to the indicator set by the World Health Organization (WHO). Conclusion. Morocco was certified polio-free by WHO in 2015, and since then no cases of wild poliovirus have been reported. Overall, although the nonpolio AFP rate has risen to the WHO standard, stool adequacy and the proportion of nonpolio enteroviruses need to be improved. The laboratory can adopt alternative techniques, independent of cell culture, to ensure that imported cases of poliovirus are not missed, especially in this era of eradication.
Association of CHA2DS2-VASC Score with in-Hospital Cardiovascular Adverse Events in Patients with Acute ST-Segment Elevation Myocardial Infarction
Authors: Fang Caoyang , Chen Zhenfei , Zhang Jing , Jin Xiaoqin , Yang Mengsi
Published: September 2022

Background. Acute ST-elevation myocardial infarction (STEMI) is a common clinical critical illness, and accurate, reliable, simple, and easy-to-remember tools are needed in clinical practice to quickly identify the risk of this condition in STEMI patients. This study investigates the predictive value of the admission CHA2DS2-VASc score for in-hospital MACE in STEMI patients. Methods. A total of 210 STEMI patients who visited the Chest Pain Center of the Second People‘s Hospital of Hefei from December 2019 to December 2021 were retrospectively analyzed. They were divided into MACE and non-MACE groups. The receiver operating characteristic curve (ROC) was used to assess the predictive value of the CHA2DS2-VASc score for MACE events during hospitalization. Results. The CHA2DS2-VASc score was higher in the MACE group than in the non-MACE group (

P
<
0.05

), and multivariate logistic regression analysis showed that the CHA2DS2-VASc score was an independent risk factor for MACE events during hospitalization in STEMI patients (OR = 1.391, 95%CI 1.044–1.853,

P
=
0.024

); ROC curve analysis showed that the area under the curve (AUC) of the CHA2DS2-VASc score was 0.744, the sensitivity was 0.64, the specificity was 0.694, and the optimal cutoff value was 3.5 in predicting the risk of MACE events during hospitalization in STEMI patients. There were no significant differences between the GRACE score (0.744 VS.0.827) and TIMI score (0.744VS.0.745) (

P
>
0.05

). Conclusion. The CHA2DS2-VASc score can successfully predict the occurrence of in-hospital MACE events in STEMI patients.
Resiliency Improvement of Distribution Network Considering the Charge/Discharge Management of Electric Vehicles in Parking Lots through a Bilevel Optimization Approach
Authors: Alizadeh Mohammad , Jafari-Nokandi Meysam , Shahabi Majid
Published: September 2022

Due to the growing use of Plug-in Electric vehicles (PEVs) in transportation networks, the charge/discharge scheduling of PEVs in Electric Vehicles Parking Lots (EVPLs) can be effective on the distribution network’s (DN) resiliency. This paper presents a bilevel optimization model to improve the resiliency of the DN taking into account the interaction between the DN islanding problem and the charge/discharge scheduling of PEVs in the energized EVPLs. In the Upper-Level (UL) problem, regarding the electrical loads and managing the charge/discharge of PEVs, the islands’ boundaries are determined with the aim of maximizing the amount of restored load. Knowing the islands’ boundaries and the energized EVPLs from the UL problem, the changes in travels characteristic including destination EVPLs are determined in the Lower-Level (LL) problem to identify the nearest energized EVPL to the out-of-service destination EVPL. The number of PEV drivers that change their deenergized destination depends on the distance between the nearest energized EVPL to the destination. A combination of mathematical programming and evolutionary algorithm is applied to reach the final solution. The proposed model is implemented by applying several concurrent faults to the 118-bus active DN, which is coupled with a 25-node traffic network. The results confirm the efficiency of the proposed model for improving the resiliency of DNs with managing the charge/discharge of PEVs in the restored EVPLs.
Face Recognition Model Design Based on Convolutional Neural Networks
Authors: Zhang Shangtao
Published: September 2022

With the rapid development of computer science and Internet technology, face recognition technology is widely used in such as public security, judicial and criminal investigation, public security, information security and access control system, such as public security system need to find out the criminals in the system library, or from the entrance control system quickly identify and match the identity of relevant personnel information. As a stable, intuitive and highly recognizable biometric feature, human face is being paid more and more attention by researchers. Compared with other bioinformation recognition methods, face recognition is characterized by direct, friendliness and convenience. Users are not easy to resist, and compared with other recognition technologies, they are easy to be accepted by users, so it has received attention and research. This paper designs a face recognition system based on a convolutional neural network. Compared with the traditional face recognition method, the convolutional neural network model does not need manual complex and time-consuming feature extraction algorithm design, only need to design an effective neural network model, and then end-to-end training on a large number of training samples for simple and efficient training, can get a good identification effect. The design uses the target detection algorithm to conduct accurate, real-time, efficient face recognition, and can accurately identify the people in the camera.
Effect of Dexmedetomidine Added to Lidocaine Cartridge on the Level of Patient Sedation, Cooperation, and Patient and Surgeon Satisfaction during Mandibular Third-Molar Extraction Surgery: A Randomized Double-Blind Controlled Trial
Authors: Etemadi Sh Milad , Kaviani Nasser , Salimian Kimia , Tajmiri Golnaz
Published: September 2022

Background. Various methods have been introduced for anxiety control during third-molar extraction surgery. Dexmedetomidine (DEX) is known to have analgesic, anxiolytic, and sympatholytic properties with minimal adverse effects. This study aimed to evaluate the impact of the local injection of the combination of DEX and Lidocaine on patients’ anxiety and the surgeon’s satisfaction during third-molar extraction surgery. Methods. A total number of 26 healthy volunteers with symmetrical bilateral impacted mandibular third-molar teeth indicated for surgical removal were included in this double-blind randomized controlled trial. A single experienced surgeon performed two surgical extraction procedures within at least four-week time intervals using anesthetic cartridges containing “DEX + LIDO” or “LIDO alone” used randomly on each side for each patient. The Visual Analog Scale and the SDFQ index were used to evaluate patients’ anxiety and surgeon satisfaction during the procedure. Results. SDFQ reports showed that patients in the “DEX” group were 1.5 times more relaxed than those in the “LIDO alone” group. As a result, the level of sedation was considered statistically significant between the two groups (Wilcoxon test,

P

value <0.019). Wilcoxon test results also showed significant differences between the two groups regarding patients’ overall cooperation in terms of interfering movement and verbal presentation of discomfort (

P

value <0.05); however, this difference was not considered significant regarding nonverbal signs of discomfort (

P

value >0.05). Moreover, both the surgeon and the patients reported a significantly higher satisfaction rate in the DEX group (paired T-test, df = 25,

P

value <0.05). Conclusions. It was inferred from the outcomes of the present study that the application of DEX added to the LIDO local anesthesia cartridge could significantly benefit anxious patients with previous unpleasant dental treatment experiences. Trial Registration. This trial is registered with the clinical trial registration number: IRCT20200406046966N.
Comprehensive Evaluation of Shale Reservoir Reconstruction based on Microseismic and Multidisciplinary Integration
Authors: Chen Haidong , Fang Dawei , Gu Hongtao , Huang Wenzhuo
Published: September 2022

Microseismic can build a bridge between engineering operations such as drilling and fracturing and stratum evaluation such as earthquake, geology, and logging by fully excavating fracture time, spatial development characteristics, and focal information. For the postseismic evaluation of microseisms, a comprehensive evaluation system integrating microseisms and multidisciplines is established in this paper: through deep excavation of microseismic information such as the time and space distribution of microseismic events, quantitative statistics, magnitude-frequency gradient ([Formula: see text]-value) and S-P wave energy ratio (Es/Ep), the effective identification of dry faults, wet faults, cracks, joints, sweet spots and nonsweet spots is realized, combined with seismology and geology. The engineering problems (casing change, pressure change, fracturing barrier, etc.) are analyzed accordingly, which enhances the comprehensive evaluation function of microseismic and multidiscipline.
Dealing with the Social-Ecological Obstacle: Review of Decision-Making Approaches in Marine Management
Authors: Zhou Wei , Chen Yan , Shu Qiu
Published: September 2022

Occupying the same crucial position as land resources, ecological resources originate from the marine system nourish various aspects of human welfare and the world economy. It is significant to apply efficient decision-making approaches, which assist with the achievements of sustainable development and environmental protection. This paper aims to review decision-making approaches in marine management and present a comprehensive bibliometric study. To achieve this goal, bibliometric analysis is used to analyze the current status and emerging trends in this field, including the cluster network, the collaboration network, and burst detection. The results show that the number of publications in this field has increased rapidly, and it has become an increasing interdisciplinary research subject. Besides, marine conservation is the largest clusterand the USA is the most productive country in marine management research and the marine policy and NOAA are the most productive journal and institution, respectively. Furthermore, “Diversity,” “Management,” and “Population” are the most influential keywords, and “People” and “Public participation” are the emerging trends in decision-making and marine management. Our work clarifies where we are now in terms of marine management and decision-making and how do they serve each other to achieve sustainable development. More importantly, some deep insights could be given that motivate researchers to learn the connections and collaborations between natural science and social study, which is our effort to deal with the social-ecological obstacle as well.
The Association between Vitamin D Hypovitaminosis and Cardiovascular Disease Risk in Saudi Diabetic Patients Type II
Authors: Alrefai Abeer Ahmed , Elsalamony Elsayed , Fatani Sameer H. , Kasemy Zeinab A. , Fatani Abdulaziz , Mohamed Kamel Hala Fawzy
Published: September 2022

We evaluated the prevalence and association of Vitamin D deficiency with glycemic control and CVD risk in T2DM patients. Serum 25 (OH)D3, lipid profile, glucose panel, HbA1c, serum insulin, and HOMA-IR were assessed in 93 T2DM patients and 69 controls. 10 years and lifetime ASCVD risk scores were calculated. The levels of 25(OH)D3 were significantly low in T2DM patients compared to the control. T2DM patients with hypovitaminosis D displayed significantly increased FBG, insulin, and HOMA-IR compared to normovitaminosis. Their lifetime and 10-year ASCVD risk scores were significantly higher regardless of vitamin D deficiency levels (

P
=
0.006

;

P
=
0.023

) in comparison to patients with sufficient levels of vitamin D. Among patients, the lifetime and 10 years of ASCVD risk showed a significant negative correlation with serum 25(OH)D3 and HDLc (

P
=
0.037

; 0.018) (

P
=
0.0001

), respectively, and significant positive correlation with T2DM duration, serum insulin, and HOMA-IR (

P
=
0.018

; 0.0001) (

P
=
0.002

; 0.001) (

P
=
0.005

; 0.001), respectively. The 10-year ASCVD risk exhibited a significant positive correlation with FBG (

P
=
0.003

) and HbA1c (

P
=
0.009

). T2DM duration was a predictor of vitamin D deficiency among T2DM patients (β = 0.22; CI = 0.002–0.04). There is a considerable association between lifetime and 10 years of ASCVD risk with hypovitaminosis D in T2DM, regardless of the deficiency levels which could be predicted by the diabetes duration.
Optimal Control of False Information Clarification System under Major Emergencies Based on Differential Game Theory
Authors: Li Bowen , Li Hua , Sun Qiubai , Lv Rongjian
Published: September 2022

To further study the issue of false information classification on social platforms after major emergencies, this study regards opinion leaders and Internet users as a false-information classification system and constructs three differential game models of decentralized, centralized, and subsidized decision-making based on optimal control and differential game theory. Comparison analyses and numerical simulations of optimal equilibrium strategies and the optimal benefit between opinion leaders and Internet users, the optimal trajectory and the steady-state value of the total volume of real information, and the optimal benefit of the false information clarification system are carried out. It is found that under centralized decision-making, equilibrium strategy and total benefit of opinion leaders and Internet users, system total benefit, and total volume of real information can achieve Pareto optimality. Although subsidized decision-making fails to achieve Pareto optimality, with opinion leaders providing cost subsidies for Internet users, it is possible to reach relative Pareto improvement compared with decentralized decision-making.
A Retrospective Analysis on the Effects and Complications of Endoscope-Assisted Transoral Approach and Lateral Cervical Approach in the Resection of Parapharyngeal Space Tumors
Authors: Guo Danni , Sun Changling , Yin Xiao , Qu Hongyang , Dai Bingyi , Hu Lin , Zhou Chen , Du Xiaodong
Published: September 2022

Objective. To observe and compare the effects and complications of endoscope-assisted transoral approach and lateral cervical approach in the resection of parapharyngeal space (PSS) tumors. Methods. From January 2013 to September 2021, 69 patients with parapharyngeal space tumors in the Affiliated Hospital of Jiangnan University were divided into the control group (n = 37) and the observation group (n = 32) according to the mode of operation. The tumors in the parapharyngeal space were resected by the lateral cervical approach in the control group, and the tumors in the parapharyngeal space were removed by endoscopy-assisted transoral approach in the observation group. The general clinical data and operation conditions of the two groups, including operative blood loss, operation time, drainage volume and drainage time, hospital stay, perioperative pain degree, and tumor resection rate were collected and analyzed statistically. The patients were followed up for 6 months, and the complications of the two groups were recorded. Results. Compared with the control group, the operation time in the observation group was significantly shorter, and the amount of intraoperative bleeding in the observation group was significantly less than that in the control group, and the difference was statistically significant (

P
<
0.05

). The postoperative drainage was less and the hospital stay in the observation group was shorter than that in the control group, and the difference was statistically significant (

P
<
0.05

). There was no significant difference in tumor resection rate between the two groups. The visual analog scale (VAS) score on the 1st and 3rd day after operation in the observation group was lower than that in the control group. After treatment, some patients in the two groups had complications such as nerve injury, dysphagia, difficulty in mouth opening, massive hemorrhage, and parotid fistula. The total incidence of complications in the observation group was lower than that in the control group, and the difference was statistically significant (

P
<
0.05

). Conclusions. The effect of the endoscope-assisted transoral approach is similar to that of the lateral cervical approach in the resection of tumors in parapharyngeal space, but the endoscope-assisted transoral approach has shorter operation time, less intraoperative bleeding, and less postoperative drainage. The indwelling time and hospital stay of the drainage device were shorter than those of the patients with transcervical approach, and the perioperative stress response of patients with endoscope-assisted transoral approach is mild, which is beneficial to the physical and mental recovery of the patients.
Multisensor Dynamic Alliance Control Problem Based on Fuzzy Set Theory in the Mission of Target Detecting and Tracking
Authors: Xie Jiahao , Huang Shucai , Wei Daozhi , Zhang Zhaoyu
Published: September 2022

A multisensor alliance is established by the activation of tasks or occurrences. It is also characterized as a multisensor dynamic alliance since it originates with mission development and disintegrates with task accomplishment. To overcome the constraint that a single sensor can only gather a one-sided, little amount of erroneous target information, each sensor in the dynamic alliance has diverse information collection capabilities and implements a cooperative methodology to complete the target mission. This paper emphasizes on alliance formation in multisensor dynamic alliance control under diverse missions. To begin with, we investigate the problem at the sensor recognition level for each target feature, delving into the concepts of alliance formation, renewal, and dissolution and emphasizing the fuzzy relationship in the multisensor dynamic alliance for multitarget. Moreover, dynamic alliance models are constructed using the fuzzy set calculation algorithm, which is powered by target detection, recognition, and tracking tasks in that sequence. Last but not least, simulation experiments demonstrated that the proposed model and algorithm outperform the existing models and algorithms. We may achieve the optimal alliance scheme by introducing the fuzzy set calculation algorithm into the dynamic alliance establishment process, which completely nullifies information redundancy and enhances the monitoring capabilities of the sensor network.
Construction of Computer Algorithms in Bioinformatics of the Fusion Genetic Algorithm
Authors: Sun Haimeng
Published: September 2022

With the continuous in-depth exploration of life sciences, bioinformatics based on life sciences, computer algorithms, and statistics have gradually developed. The research of bioinformatics mainly focuses on the study of genes, and the structural characteristics of genes lead to a large amount of extremely complex data in the study of bioinformatics. Analyzing data in bioinformatics research requires accurate calculation by computer algorithms. However, common computer algorithms such as the dynamic programming algorithm and the genetic algorithm have the disadvantages of large memory or inaccurate optimization. Combining the ant colony algorithm (ACA) and GA can give the advantages of the two methods that should be fully utilized to efficiently analyze the biological information data. In this paper, the ant colony fusion genetic algorithm (ACA-GA), GA, and dynamic programming algorithm are used to compare and analyze the sensitivity, convergence speed, sequence alignment accuracy, and required memory space of gene sequences. The experimental results show that compared with ACA-GA, the dynamic programming algorithm has the advantage of finding the optimal alignment of 100%, but the memory required is too large, the memory required is more than 10 times that of the ant colony fusion genetic algorithm and the sensitivity is not as good as ACA-GA. The convergence speed of ACA-GA is faster than the gene comparison speed of GA and the accuracy is 2.6% better than that of GA on average. ACA-GA has the advantages of GA and ACA, which can improve the computational efficiency of biological data in bioinformatics.
Research on Path Planning Method of Unmanned Boat Based on Improved DWA Algorithm
Authors: Zhang Lanyong , Han Yu , Jiang Bo
Published: September 2022

Aiming at the problem of local path planning for unmanned surface vehicles, the traditional dynamic window algorithm (DWA) has the problems of uneven obstacle avoidance path and poor adaptability to complex environments. This paper proposes a local path planning method based on improved DWA. The evaluation item that replaces the direction angle difference with the target distance is used to avoid the path from being unsmooth due to vibration. And the fuzzy logic control algorithm is introduced to dynamically adjust the weight value of the trajectory evaluation function to complete the path optimization. The introduction of the A

∗

algorithm is designed to preplan the map environment and extract key turning points as subtarget points of the local obstacle avoidance algorithm to enhance the path optimization ability. The simulation results show that the improved DWA algorithm can shorten the planned path length by 23.4% and the path smoothness by 34.8%, enabling USV to find a reasonable, efficient, and smooth path in complex environments.
Feature Extraction and Analysis Method of Trombone Timbre Based on CNN Model
Authors: Wang Yanjun
Published: September 2022

In order to improve the accuracy of trombone timbre feature extraction, this paper combines the CNN model to construct a trombone timbre feature extraction model and summarizes the principle of trombone timbre signal. Moreover, this paper deduces the parameters of the trombone timbre signal and the corresponding network model and uses mathematical expressions to model the trombone timbre signal, which is convenient for theoretical analysis and processing of the trombone timbre signal. In addition, this paper provides a detailed discussion of time-frequency analysis techniques, including their advantages and limitations, which provide an algorithmic basis for working with trombone timbre signals. It can be seen that time-frequency analysis technology still has great advantages in trombone timbre signal processing. Finally, the simulation results show that the trombone timbre feature extraction method based on the CNN model proposed in this paper can effectively identify the trombone timbre in various musical performances.
Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence-Assisted Diagnostic Technology: A Systematic Review and Meta-Analysis
Authors: Xue Yu , Zhou Ying , Wang Tingrui , Chen Huijuan , Wu Lingling , Ling Huayun , Wang Hong , Qiu Lijuan , Ye Dongqing , Wang Bin
Published: September 2022

Background. Ultrasonography (US) is the most common method of identifying thyroid nodules, but US images require an experienced surgeon for identification. Many artificial intelligence (AI) techniques such as computer-aided diagnostic systems (CAD), deep learning (DL), and machine learning (ML) have been used to assist in the diagnosis of thyroid nodules, but whether AI techniques can improve the diagnostic accuracy of thyroid nodules still needs to be explored. Objective. To clarify the accuracy of AI-based thyroid nodule US images for differentiating benign and malignant thyroid nodules. Methods. A search strategy of “subject terms + key words” was used to search PubMed, Cochrane Library, Embase, Web of Science, China Biology Medicine (CBM), and China National Knowledge Infrastructure (CNKI) for studies on AI-assisted diagnosis of thyroid nodules based on US images. The summarized receiver operating characteristic (SROC) curve and the pooled sensitivity and specificity were used to assess the performance of the diagnostic tests. The quality assessment of diagnostics accuracy studies-2 (QUADAS-2) tool was used to assess the methodological quality of the included studies. The Review Manager 5.3 and Stata 15 were used to process the data. Subgroup analysis was based on the integrity of data collection. Results. A total of 25 studies with 17,429 US images of thyroid nodules were included. AI-assisted diagnostic techniques had better diagnostic efficacy in the diagnosis of benign and malignant thyroid nodules: sensitivity 0.88 (95% CI: (0.85–0.90)), specificity 0.81 (95% CI: 0.74–0.86), diagnostic odds ratio (DOR) 30 (95% CI: 19–46). The SROC curve indicated that the area under the curve (AUC) was 0.92 (95% CI: 0.89–0.94). Threshold effect analysis showed a Spearman correlation coefficient: 0.17 < 0.5, suggesting no threshold effect for the included studies. After a meta-regression analysis of 4 different subgroups, the results showed a statistically significant effect of mean age ≥50 years on heterogeneity. Compared with studies with an average age of ≥50 years, AI-assisted diagnostic techniques had higher diagnostic performance in studies with an average age of <50 years (0.89 (95% CI: 0.87–0.92) vs. 0.80 (95% CI: 0.73–0.88)), (0.83 (95% CI: 0.77–0.88) vs. 0.73 (95% CI: 0.60–0.87)). Conclusions. AI-assisted diagnostic techniques had good diagnostic efficacy for thyroid nodules. For the diagnosis of <50 year olds, AI-assisted diagnostic technology was more effective in diagnosis.
Blockchain-Based Supply Chain System for Olive Fields Using WSNs
Authors: Ghorbel Oussama , Frikha Tarek , hajji Abir , Alabdali Raed , Ayadi Rami , Abbas Elmasry Mohamed
Published: September 2022

The agricultural domain in developing countries is mostly dictated by archaic rules based on traditions and inherited practices. With the evolution of digitalization and technology, it seems essential to apply new technologies to the agricultural field. Among the technologies to be exploited in agriculture, we mention sensors, IoT, WSN, cloud, blockchain, etc. We talk about smart agriculture in this case. In this paper, we propose a platform secured by blockchain for monitoring and securing production. This platform uses IoT connected sensors to track and save data. Our system is used to monitor the production process of olive trees. The goal is to track everything that enters and leaves our olive tree production from fertilizers, insecticides, and fortifiers to olives, trimming etc. The blockchain via its decentralized system allow a secure, irreversible, and clear monitoring. A dashboard allow us to highlight the changes while facilitating the work of farmers. Our prototype will be embedded via a Raspberry Pi 4 platform.
Characteristics of Pediatric Dental Treatment Provided under General Anesthesia in Dubai, United Arab Emirates: A Retrospective Analysis
Authors: Abdo Mohammad , Al Halabi Manal , Hussein Iyad , Salami Anas , Khamis Amar H. , Kowash Mawlood
Published: September 2022

Background. Dental general anesthesia (DGA) is a widely utilized technique in pediatric dentistry and is indicated for a variety of cases such as very young children and children with special healthcare needs (SHCN). In the United Arab Emirates (UAE), there is a paucity of studies relating to this subject. Objective. To analyze the characteristics of DGA treatment in special healthcare needs and healthy children in the only postgraduate dental hospital in Dubai, UAE. Materials and Methods. A retrospective analysis was conducted on the electronic records of all Dubai Dental Hospital (DDH) pediatric patients who underwent DGA in the period between January 1st, 2016, and 29th of February 2020. Results. The study population consisted of 98 children. A total of 26 children had a medical condition and were categorized as SHCN. The most common justification for DGA was dental caries and a lack of cooperation due to young age. SHCN patients received significantly more preventive measures and significantly fewer pulp therapies than healthy patients. Conclusion. We found that the services provided under DGA for healthy pediatric patients differ from those provided to SHCN patients. Frequently missing recall appointments following DGA increased the likelihood of the need for further restorative dental treatment. These results highlight the importance of robust prevention and follow-up programs for children treated under GA.
Diet composition of the deep-water rose shrimp, Parapenaeus longirostris (Decapoda, Dendrobranchiata, Penaeidae), from the Algerian west coast
Authors: Kerfouf Ahmed , De los Ríos-Escalante Patricio R. , Esse Carlos
Published: September 2022

The deep-water rose shrimp, Parapenaeus longirostris (H. Lucas, 1846), is the most dominant shrimp species on the Algerian west coast. In that area, the diet of P. longirostris was studied between July 2020 and June 2021. This approach to the diet of the rose shrimp was based on analysis of the stomach contents and determination of the ingested prey. A seasonal sampling was carried out in the main fishing ports (Béni Saf, Bouzedjar, Oran and Mostaganem). The results obtained showed that the shrimp feed intensively in spring and increasingly less in winter and summer. Crustaceans, foraminiferans, polychaetes, and molluscs constituted the most frequent preys in the diet, with respective frequencies of 58.85, 55.95, 36.63 and 32.04%. Small microplancton and mesoplancton prey (radiolarians, copepods, and various larvae) were less important in the diet of P. longirostris. Fish and echinoderms constitute accidental prey, of which the frequency is less than 10%.
Redescription of Orbitacolax bispinus Izawa, 2021 (Copepoda, Cyclopoida, Bomolochidae), with descriptions of the male, copepodid V female, and copepodid IV sex undetermined
Authors: Izawa Kunihiko
Published: September 2022

Orbitacolax bispinus Izawa, 2021 is redescribed based on specimens of both sexes of the adult, copepodid V female, and copepodid IV sex undetermined, which were all recovered together with those of O. leptoscari (Yamaguti, 1953) from under the scales of Pseudolabrus sieboldi Mabuchi & Nakabo, 1997 (Pisces, Perciformes, Labridae) in Japan. Descriptions of the male and copepodid V female are the first time for the species.
Proteases from Penaeus monodon Fabricius, 1798 (Decapoda, Penaeidae): partial characterization and localization
Authors: Nguyen Hong-Loan T. , Quach Hong-Thai , Trinh Dinh-Quynh , Nguyen Huong-Quynh , Pham Bao-Yen , Dinh Thai-Nho , Ngo Thi-Trang , Phan Tuan-Nghia
Published: September 2022

This study aimed to characterize and determine the distribution of proteases in various anatomical parts of Penaeus monodon using mainly electrophoresis on sodium dodecyl sulfate (SDS) polyacrylamide gels impregnated with casein (casein-SDS-PAGE) and specific protease inhibitors. Twelve caseinolytic bands designated A-L, with estimated molecular masses of 11.4-49.6 kDa were detected by SDS-PAGE, and were most abundant in the hepatopancreas. Among the 12 bands, E, J, K and L were predominant, A, G and H were identified as chymotrypsin-like proteases, D, E, I, J, K and L were identified as trypsin-like proteases, and B, C and F were identified as serine proteases. The proteases were most active at 50°C and pH 7.0. The proteolytic and trypsin-like activities of Penaeus monodon were most abundant in hepatopancreas extracts and least abundant in extracts from the haemolymph. Trypsin-like proteases in the hepatopancreas extract were found to activate prophenoloxidase (proPO) to form phenoloxidase (PO).
Comparison of the sensitivities of crustacean species to recombinant Photorhabdus insect-related (Pir) toxins of acute hepatopancreatic necrosis disease-causing Vibrio parahaemolyticus
Authors: Kim Ji Seok , Jang In-Kwon , Lee Miyoung , Kim Suhyun , Uhm Taewoong , Yi Seongbaek , Choi Tae-Jin
Published: September 2022

Photorhabdus insect-related PirAvp (where vp stands for Vibrio parahaemolyticus) and PirBvp of Vibrio parahaemolyticus were expressed in Escherichia coli, designated rPirAvp and rPirBvp, respectively, then tested on 4 crustaceans via immersion tests. PirBvp toxin was detected from 2 h after incubation and accumulated with bacterial growth. The culture filtrate of 15 nM PirBvp toxin caused 100% mortality of Litopenaeus vannamei within 4 days after immersion. Litopenaeus vannamei showed 100% mortality at 7 days after immersion in purified 4 nM rPirAvp, rPirBvp, or rPirAvp + rPirBvp mixture. The cumulative mortalities in the rPirAvp, rPirBvp or rPirAvp + rPirBvp mixture were 50, 83 and 100% in Macrobrachium rosenbergii after 12 days of immersion, 11, 77 and 100% in Palaemon paucidens after 10 days of immersion, and 36, 96 and 100% in Macrophthalmus japonicus after 6 days of immersion, respectively.
Exhibiting Transnationalism after Vietnam: The Alpha Gallery’s Vision of an Artistic Renaissance in Southeast Asia
Authors: Ngoei Wen-Qing
Published: September 2022

This essay examines the Alpha Gallery, an independent artists’ cooperative that Malaysians and Singaporeans established, which staged art shows during the 1970s to spark an artistic renaissance in Southeast Asia. The cooperative’s transnational vision involved showcasing Balinese folk art as a primitive and, therefore, intrinsically Southeast Asian aesthetic, while asserting that it shared cultural connections with the Bengali Renaissance of the early 20th Century. Alpha’s leaders believed these actions might awaken indigenous artistic traditions across Southeast Asia. Their project underscores the lasting cultural impact of colonialism on Southeast Asia and the contested character of the region. Alpha’s condescending view of Balinese folk art echoed the paternalism of Euro-American colonial discourses about civilizing indigenous peoples that persisted because its key members received much of their education or training in Britain and the United States, a by-product of their countries’ pro-U.S. trajectory during the Vietnam War. Equally, Alpha’s transnationalism ran counter to Southeast Asian political elites’ fixation with pressing art toward nation-building. Indeed, the coalescing of nation-states does not define the region’s history during and after the Vietnam War. Rather, non-state actors like Alpha’s members, in imagining and pursuing their versions of Southeast Asia, contributed to the persistent contingency of the region.
Sustenance and Survival
Authors: Joseph O’Neil
Published: September 2022

This article explores women’s engagement with food production and distribution in Tobago from 1840 to 1940. Scholars such as Raymond Smith have suggested that freedom in the British West Indies meant “the withdrawal of female labor from plantation work.” In Tobago, while women fled the estates, they did not abandon working the land. In fact, working the land and selling food was critical to the sustenance and survival of women and their families. Among Afro-Tobagonian women, food became a tool of power and empowerment. Through the production and sale of food, Afro-Tobagonian women asserted control over resources, steered the economic empowerment of their families, and crafted identities as autonomous beings. This article, undergirded by archival documents and oral testimonies, refines our understanding of women’s mobility and labor experiences in Tobago, and by extension, the Caribbean.
Understanding efl Teachers’ Emotional Experience of Doing Research: A Review
Authors: Li Fei , Jiang Lianjiang
Published: September 2022

In an era when scientific research is in the spotlight, foreign language teachers have developed a variety of complex and diverse emotions towards it. Research into teachers’ professional development has long focused on rational factors. However, teacher emotions are real and emotions are at the heart of teaching and learning. Teachers’ research emotions are therefore as important as the rational elements of teacher professional development. Indeed, teacher emotions have a crucial impact on teachers’ careers and development, and teacher emotions cannot be ignored. However, little attention has been paid to research on English teachers’ emotions, and there is a lack of literature reviews to sort out the limited research on English teachers’ emotions. Such a literature review would help to understand the gaps in the current field of research on English teachers’ research on emotions and thus better guide the direction of future research. By using keywords to identify relevant studies, further screening and analysing candidate studies, and reporting and summarizing existing research findings, this study reviews the current state of research on English teachers’ research on emotional experiences and finds that research on foreign language teachers’ emotions is mainly concerned with the content of emotional experiences, emotion formation and its influencing factors. On this basis, further directions for research are indicated, including the attention paying to the processes of emotion formation and emotion adjustment strategies of foreign language teachers, the emotions of university teachers and the influence of Chinese society and culture on foreign language teachers in higher education.
Intertextual Links between Isaiah 59 and the Armour of God in Ephesians 6
Authors: Carter Tim
Published: September 2022

Believers are told in Ephesians 6:11 to put on God’s armour. In Isaiah 59:17, God himself puts on the breastplate of righteousness and the helmet of salvation to come and fight for his people, and these are among the qualities identified as missing in the indictment against God’s people in Isaiah 59:8–15. The article identifies other intertextual allusions to Isaiah in the other four items of armour, and explores the extent to which the other qualities represented by the pieces of equipment also draw on the description of the nation’s plight in Isaiah 59. An awareness of these intertextual allusions suggests that putting on God’s armour means enlisting in the spiritual struggle and going on the offensive by adopting a lifestyle marked by the qualities listed in Ephesians 6:14–17.
Additional description on morphology of the Misol snake eel from Taiwan, with four verified barcodes of life sequences
Authors: CHIU YUNG-CHIEH , CHEN HONG-MING , SHAO KWANG-TSAO
Published: September 2022

An additional description of the Misol snake eel Yirrkala misolensis (Günther, 1872) is reported on the basis of 9 specimens collected from Dong-gang and Ke-tzu-liao, southwestern Taiwan. The species was previously reported from Indonesia and Australia and then extends northward to Taiwan and Japan, and was lacking adequate characterization on morphology. A detail description, fine condition of fresh photographs and 4 partial CO1 sequences are provided for the first time.
A new cryptic species of the pineapple fish genus Monocentris (Family Monocentridae) from the western Pacific Ocean, with redescription of M. japonica (Houttuyn, 1782)
Authors: SU YO , LIN HSIU-CHIN , HO HSUAN-CHING
Published: September 2022

A new pineapple fish is described based on 26 type and 80 non-type specimens collected from Taiwan, Vanuatu, the Solomon Islands, and Queensland, Australia. This new species is sympatric with and similar to Monocentris japonica but can be distinguished from the latter in having only 6 or 7 scales on the third scale row below the lateral line; excisura notched and a small pseudo-excisura present on the sagittal otolith; consistently greater head depth, body depth, postorbital length, dorsal-fin–pelvic-fin length, and dorsal-fin–pectoral-fin length in proportion to standard length. A detailed description and designation of neotype are provided for M. japonica. DNA barcoding analysis supports the distinction of the new species with an estimated average COI gene divergence of 3.6 % from M. japonica.
A new species of Tharybis (Crustacea: Copepoda: Calanoida: Tharybidae) from northern Taiwan
Authors: WANG YAN-GUO , HWANG JIANG-SHIOU
Published: September 2022

A new species Tharybis kueishanensis sp. n. (Copepoda: Calanoida: Tharybidae) is described from the inshore surface waters of Kueishan Island off northern Taiwan, which is the first report of Tharybis from the China Seas. Its female is distinguished from the other species of Tharybis by the total body length (1.89–2.12 mm) larger than the other species, the shape of the genital double-somite, which is slightly asymmetrical with a small notch on the distal margin of the right side, and the length of the inner terminal spine of leg 5, which is about 1.5 times of the terminal spiniform projections. The male is distinguished by the presence of 3 triangular projections at the inner middle margin and the tip of the distal segment of the right leg 5.