bluuebunny/crossref_metadata_2025 huggingface dataset:
Humic Acids Inhibit Platelet Activation to Reduce Venous Thromboembolism in Mice
Authors: Lan Hong-Tao , Zheng Ya-Ting , Tong Zhou-Jie , Zhang Cong , Cong Xiao-Yan , Wang Zhi-Hao
Published: December 2022

Objective. We aimed to investigate the effects of the natural product humic acids (HA) on platelet activation and development of venous thromboembolism (VTE) in mice and further explore the relevant mechanism. Methods. Eight-week C57BL/6 mice were randomly assigned to three groups: sham operation group (n = 7), VTE group (n = 8), and VTE + HA group (n = 10). Thrombi were harvested to hematoxylin-eosin staining to evaluate the thrombolysis and recanalization of the thrombus. In addition, flow cytometry was performed to detect the expression levels of protein disulfide isomerase on endothelial-derived exosomes and glycoprotein IIb/IIIa on the surface of the activated platelets surface in plasma. Furthermore, the protein expression level of glycoprotein IIb/IIIa in thrombus was determined by immunohistochemistry and immunofluorescence. Results. The length of thrombosis in the VTE + HA group was significantly shorter than that in the VTE group (

P
=
0.040

). No significant differences were observed in thrombolysis and recanalization between the VTE + HA group and the VTE group (

P
>
0.05

). The content of protein disulfide isomerase carried by endothelial-derived exosomes was significantly increased in the VTE group (

P
=
0.008

) but significantly reduced by native humic acids (

P
=
0.012

). Compared with the VTE group, the expression of glycoprotein IIb/IIIa on activated platelet surface in the VTE + HA group was significantly decreased (

P
=
0.002

). The concentration of plasmatic P-selectin in the VTE group was significantly higher than that in the VTE + HA group (

P
<
0.001

). Conclusion. We demonstrate that HA possess a pharmacological property that decreases venous thrombus formation in mice. The underlying mechanism is that HA could inhibit the expression of glycoprotein IIb/IIIa on the activated platelets surface by suppressing endothelial-derived exosomes carrying on protein disulfide isomerase, thereby blocking platelet activation.
Seasonal Prevalence of Helminthic Infections in the Gastrointestinal Tract of Sheep in Mazandaran Province, Northern Iran
Authors: Salehi Alireza , Razavi Mahsa , Vahedi Nouri Nasrollah
Published: December 2022

Helminthic infection is the major cause of the sheep’s reduced productivity. In this study, a total number of 240 fecal samples of sheep from stationary flocks of four different zones of Mazandaran province (Amol, Babol, Sari, and Nowshahr cities) were examined each season, out of which 53.33% of animals were affected by the helminthic infections. The most prevalent infecting parasites were the Trichostrongylidae (46.61%), followed by the Fasciola (9.96%). In addition, the Strongyloides had the lowest proportion with only 2.39%. The other detected parasites included Chabertia (5.98%), Cooperia (3.19%), Nematodirus (3.19%), Trichuris (5.58%), Toxocaridae (4.78%), Haemonchus (4.78%), Ostertagia (5.58%), Oesophagostomum (4.78%), and Dicrocoelium (3.19%). The nematodes had the highest percentage with 86.85%, whereas the trematodes followed them with 13.15%. No significant difference was observed between the infection level in females and males, with 56.9% and 43.94% rates of infection, respectively. Significantly lower infection was observed in winter compared with the other seasons. Trichostrongylidae was the dominant genus across all seasons. It was also noted that winter had the lowest percentage of helminthic infection significantly. The eggs per gram of feces was also estimated, and it showed that a significant number of sheep are infected with a moderate number of parasites. In a conclusion, even though livestock farmers have been using antiparasitic drugs in their livestock in recent years, parasitic infection still exists in livestock. Thus, a proper implementation of helminthic infection control programs in this area should be employed as the key element for reducing the high prevalence of livestock helminthic infection.
Quantitative Assessment of Apically Extruded Debris after Single-Files Supplemental Retreatment considering Apical Patency Influence: In Vitro Study
Authors: Shaheen Neveen Ali , Elhelbawy Nahla Gamaleldin , Sherif Dalia Abdelhamid
Published: December 2022

Objective. This study aims to assess the impact of re-establishing apical patency on the quantity of debris extruded through the apex after three supplementary retreatment files (TruNatomy (TRN), WaveOne Gold (WOG), and XP endo Finisher R (XPFR)). Materials and Methods. Eighty single-rooted mandibular premolars were prepared with ProTaper Universal rotary systems (PTU) up to F3 and obturated. The samples were divided into two main groups according to the presence or absence of the apical patency (n = 40), GI with apical patency and GII without apical patency. Based on the file system, which was adopted to eliminate the previous filling, each group had four subgroups (n = 10). In GI PTUR and GII PTUR, ProTaper Universal retreatment files (PTUR) were utilized only to remove the most primary filling material (control groups). In the other groups (PTUR) used, it was first followed by supplementary files. The quantity of debris extruded by different retreatment file systems was determined and compared to the corresponding control group with or without apical patency. Data were analyzed using a two-way ANOVA with a post hoc Tukey’s multiple comparison test at a 5% significance level. Results. There was a statistically significant difference among the control and experimental groups. XPFR had the least quantity of extruded debris. Apical patency did not affect the debris extrusion. Conclusion. All tested files led to a significant apical debris extrusion regardless of apical patency.
Activation of the TGF-β Pathway Enhances the Efficacy of Platinum-Based Chemotherapy in Small Cell Lung Cancer Patients
Authors: Lin Anqi , Zhu Lingxuan , Jiang Aimin , Mou Weiming , Zhang Jian , Luo Peng
Published: December 2022

Background. Platinum-based chemotherapy is the first choice of treatment for patients diagnosed with small lung cell cancer (SCLC). However, many patients exhibit resistance to it. Therefore, it is imperative to further investigate a prognostic biomarker indicating sensitivity to this therapy. Methods. We collected and performed RNA sequencing on 45 SCLC samples from the Zhujiang Hospital (Local-SCLC). In addition, we used a public cohort from George et al. as a validation cohort (George-SCLC). The transforming growth factor β signaling pathway (TGFB) activation status was determined according to the related ssGSEA score. We analyzed immune cell ratios, pathway activation scores, and immune-related genes in SCLC patients to further elucidate the potential mechanisms. Results. A high activation status of the TGFB pathway was associated with improved prognosis in SCLC patients receiving platinum-based chemotherapy (Local-SCLC:

HR
=
0.0238

, (95% CI, 0.13-0.84),

p
=
0.0238

; George-SCLC:

HR
=
0.0315

, (95% CI, 0.28-0.98),

p
=
0.0315

). Immune infiltration analysis showed that the TGFB-HIGH group had more M1 macrophages and Th1 cells, whilst fewer M2 macrophages, Th2 cells, and Treg cells were found in the Local-SCLC cohort. Mechanistic analysis showed that the TGBF-HIGH group was upregulated in STING-mediated immunity, apoptosis, and cell cycle arrest, as well as being downregulated in the process of DNA damage repair. Conclusions. SCLC patients exhibiting a high activation status of the TGFB pathway demonstrate an improved prognosis with platinum-based chemotherapy. The potential underlying mechanism may be related to antitumor immune enhancement and DNA damage repair inhibition.
Sphingosine Kinase 2 in Stromal Fibroblasts Creates a Hospitable Tumor Microenvironment in Breast Cancer
Authors: Weigel Cynthia , Maczis Melissa A. , Palladino Elisa N.D. , Green Christopher D. , Maceyka Michael , Guo Chunqing , Wang Xiang-Yang , Dozmorov Mikhail G. , Milstien Sheldon , Spiegel Sarah
Published: December 2022

Reciprocal interactions between breast cancer cells and the tumor microenvironment (TME) are important for cancer progression and metastasis. We report here that the deletion or inhibition of sphingosine kinase 2 (SphK2), which produces sphingosine-1-phosphate (S1P), markedly suppresses syngeneic breast tumor growth and lung metastasis in mice by creating a hostile microenvironment for tumor growth and invasion. SphK2 deficiency decreased S1P and concomitantly increased ceramides, including C16-ceramide, in stromal fibroblasts. Ceramide accumulation suppressed activation of cancer-associated fibroblasts (CAF) by upregulating stromal p53, which restrained production of tumor-promoting factors to reprogram the TME and to restrict breast cancer establishment. Ablation of p53 in SphK2-deficient fibroblasts reversed these effects, enabled CAF activation and promoted tumor growth and invasion. These data uncovered a novel role of SphK2 in regulating non–cell-autonomous functions of p53 in stromal fibroblasts and their transition to tumor-promoting CAFs, paving the way for the development of a strategy to target the TME and to enhance therapeutic efficacy.

Significance:

Sphingosine kinase 2 (SphK2) facilitates the activation of stromal fibroblasts to tumor-promoting cancer-associated fibroblasts by suppressing host p53 activity, revealing SphK2 as a potential target to reprogram the TME.
Trends of Ovarian Cancer Incidence by Histotype and Race/Ethnicity in the United States 1992–2019
Authors: Phung Minh Tung , Pearce Celeste Leigh , Meza Rafael , Jeon Jihyoun
Published: December 2022

The effect of risk factors on ovarian cancer differs by histotype, and the prevalence of such risk factors varies by race/ethnicity. It is not clear how ovarian cancer incidence has changed over time by histotype and race/ethnicity.

We used the Surveillance, Epidemiology, and End Results Program (SEER-12) 1992–2019 data to examine the trend of ovarian cancer incidence for three histotypes (high-grade serous N = 19,691, endometrioid N = 3,212, and clear cell N = 3,275) and four racial/ethnic groups (Asian/Pacific Islander, Hispanic, non-Hispanic Black, and non-Hispanic White). Joinpoint and age-period-cohort analyses were conducted to analyze ovarian cancer incidence trends.

High-grade serous cancer was the most common histotype, but its incidence has significantly decreased over time for all racial/ethnic groups; the decrease was largest for non-Hispanic White women (average annual percent change AAPC during 2010–2019 = −6.1; 95% confidence interval (CI), −8.0 to −4.2). Conversely, clear cell cancer was most common in the Asian/Pacific Islanders, and its incidence has increased over time, particularly among Hispanic and Asian/Pacific Islander women (AAPC during 2010–2019 = 2.8; 95% CI, 0.8 to 4.7, and AAPC = 1.5; 95% CI, 0.7 to 2.2, respectively). Endometrioid cancer incidence has decreased in non-Hispanic White but increased in Hispanic women (AAPC during 2010–2019 = −1.3; 95% CI, −1.9 to −0.8, and AAPC = 3.6; 95% CI, 1.0 to 6.3, respectively).

The differential incidence trends by histotype and race/ethnicity underscore the need to monitor incidence and risk factor trends across different groups and develop targeted preventive interventions to reduce the burden of ovarian cancer and disparity by race/ethnicity.

Significance:

During 1992–2019, high-grade serous ovarian cancer incidence has decreased while clear cell cancer incidence has increased regardless of race/ethnicity. Endometrioid cancer incidence has decreased in non-Hispanic White but increased in Hispanic women. Differential ovarian cancer incidence trends highlight the need for targeted preventive interventions by histotype and race/ethnicity.
Primary Cutaneous Mucinous Carcinoma Monitoring: A Role for CA15.3 and CEA?
Authors: Ginguay Antonin , Kramkimel Nora , Lecolant Solène , Goldwasser François , Battistella Maxime , Arrondeau Jennifer
Published: December 2022

Primary cutaneous mucinous carcinoma (PCMC) is a rare malignant skin adnexal tumor. Recurrences are most often localized, and long-term follow-up after complete surgery consists essentially of self-examination of skin. We report one case of metastatic PCMC with elevated levels of serum CEA and CA15.3. Because of the difficulty to differentiate PCMC and metastasis of mucinous breast cancer, the hypothesis of a metastasized breast cancer was ruled out. These tumor markers contributed to the monitoring of the metastatic disease. Since metastatic disease was diagnosed after several years of seeming complete remission, CEA and CA15.3 would likely have allowed the clinicians to detect the relapse earlier. Although the use of tumor biomarkers in PCMC is not rooted in clinical practice and not mentioned in guidelines, we suggest that CEA and CA15.3 could be of particular interest to monitor and detect early metastatic PCMC.
Allergic Polysensitization Clusters: Newly Recognized Severity Marker in Urban Asthmatic Adults
Authors: Patchett Brian J. , Nriagu Bede N. , Mavraj Granit , Patel Ruchi R. , MacLellan Christopher , Thakur Tushar , Schulman Edward S.
Published: December 2022

Introduction: While reliable, quantitative in vitro testing for sensitivity to aeroallergens has been available for decades, such information has largely been ignored in clustering analyses of asthma. Our aim is to explore allergic polysensitization as a possible marker of asthma severity and, as such, to be considered as an integral marker in future asthma clustering analyses. Methods: We constructed a database of sensitizations to the 25 aeroallergens in our geographic area (zone 1, Northeastern US) using the ImmunoCAP® in vitro assay. We used the Scikit-Learn® machine learning library for model-based clustering to identify allergic polysensitization clusters. Clusters were compared for differences in common office-based clinical markers of asthma. Results: The database consisted of 509 patients. Unbiased machine learning identified ten clusters of increasing allergic polysensitization of varying sizes (n = 1–339) characterized by significant increases in mean serum immunoglobulin E (p < 0.001), peripheral blood eosinophil count (p < 0.001), and DLCO (p = 0.02). There was a significant decline in mean age at presentation (p < 0.001), FEV1/FVC (p = 0.01), and FEF25-75 (p = 0.002) with increasing allergic polysensitization. Finally, we identified two divergent paths for the poly-atopic march, one driven by perennial and the other by seasonal allergens. Conclusion: This pilot study showed that allergic polysensitization, using readily available qualitative and quantitative in vitro sensitization data, largely ignored in cluster analyses to date, may add further clinical precision in cluster analyses of asthma. We suggest the methods used here can be applied and tested using larger databases and aeroallergens present in diverse geographic regions.
Social crisis detection using Twitter based text mining-a machine learning approach
Authors: Rahman Shoaib , Jahan Nusrat , Sadia Farzana , Mahmud Imran
Published: December 2022

Social-media and blogs are increasingly used for social-communication, an idea and thought publishing platform. Public intentions, wisdom, problems, solutions, mental states are shared in social media. Text is being the best and the most common way to communicate over social networks. All kinds of data shared in social sites like Facebook, Twitter, and Microblogs. People from different pursuance uses these media to publish thoughts and convey messages through text. Consequently, occurrences in social life are rapidly discussed in social blogs in daily manner. This work aims at discovering ongoing social crisis from the Twitter data. Text mining technique and sentiment analysis were applied to detect the current social crisis from the social sites. Twitter data were collected to identify the recent social crisis. Furthermore, the identified crisis was compared to reputed newspapers. A hybrid method used to detect recent social issues resulted nicely. However, our proposed analysis shows identifying rate 89%, 95%, 83%, 53%, and 98% for the top 5 identified crisis accordingly in the date between 27 February and 11 March 2020. The strategy used in this study for the detection of recent social crisis will contribute to the social life and findings of crisis will be eliminated easily.
Research on fault adaptive fault tolerant control of distributed wind solar hybrid generator
Authors: Niu Yitong , Al Sayed Intisar A. M. , Ali Alya'a R. , Al_Barazanchi Israa , JosephNg Poh Soon , Jaaz Zahraa A. , Gheni Hassan Muwafaq
Published: December 2022

Due to the poor accessibility, poor operating conditions, high failure rate, long maintenance time, and difficult maintenance of wind hybrid generators, the economic loss is huge once the failure stops. To this end, the fault adaptive fault-tolerant control of distributed wind and wind hybrid generators is studied, the historical operation data of offshore wind and wind hybrid generators and onshore wind and wind hybrid generators are counted and compared, and the fault characteristics of key components of offshore wind and wind hybrid generators are analyzed. The generator sets are summarized, and the common electrical faults of wind turbines and their impacts on the system are analyzed. This paper summarizes the current research status of fault-tolerant operation of existing offshore wind and wind complementary generators in terms of software fault tolerance and hardware fault tolerance, summarizes the current fault tolerance schemes for offshore wind and wind complementary generators, and analyzes the application feasibility of existing fault tolerance schemes. In addition, the main problems of fault-tolerant offshore wind and solar complementary generator sets are pointed out, and future research hotspots are foreseen.
Budget and capabilities of information technology governance: empirical analysis in higher education institutes
Authors: Merchan-Rodríguez Vicente , Zambrano-Vera Danny
Published: December 2022

Despite empirical improvements in Ecuador's higher institutes in preparing for information technology (IT) governance, much remains to be done to improve understanding of the maturity of governance structures, processes, and relational mechanisms with the referential budget allocated to IT departments. In this sense, the objective of the work is to analyze the maturity of the IT governance mechanisms and the referential budget allocated, from the relational and predictive point of view, going through a descriptive process. The data that was analyzed comes from the 2020 opinion survey, conducted by a group of researchers with support from the National Secretariat of Higher Education, Science, Technology, and Innovation of Ecuador (SENESCYT). In total, 18 institutes completed the survey with budget information. The findings show the considerable absence of internal processes, weak positive and negative relationship between variables; and the low level of maturity of the mechanisms of IT governance capacities, for the time being, is not significant for the institutional budget. In conclusion, this analysis can provide a baseline to assist in the preparation of action plans for institution-building. In addition, it allowed identifying several weaknesses and strengths, not only in institutions but also in research.
A novel examination of limonene detection using plastic fiber optic sensors and the tapered approach
Authors: Anbalagan Thanigai , Haroon Hazura , Abdul Rahim Hazli Rafis , Johari Siti Halma , Idris@ Othman Siti Khadijah , Razak Hanim Abdul , Othman Maisara
Published: December 2022

A novel tapered plastic optic fiber (POF) biosensor is proposed and demonstrated for monitoring limonene in different concentrations. The mechanism of this device is based on an increase in the light transmission of a sensor submerged in a higher-concentration limonene solution, which also reflects an increase in the refractive index of the sensor. The tapered POF was fabricated using the chemical etching method to accomplish different waist diameters of 0.6 mm, 0.55 mm, and 0.5 mm, with a fiber length of 10 cm and a 2 cm sensing region. An Arduino integrated development environment (IDE) program was used to drive the voltage values from the photodetectors to obtain the measurements. As the limonene concentration solution varied from 20% to 100%, the output voltage of the sensor increased linearly, showing a sensitivity of 0.295 V/%, 0.33 V/%, and 0.46 V/% for tapered waist diameters of 0.6 mm, 0.55 mm, and 0.5 mm, respectively. The proposed sensor is a low-cost solution measurement option with high sensitivity, while it also involves a simple and easy fabrication technique.
Dental caries classification using depthwise separable convolutional neural network for teledentistry system
Authors: Kadarina Trie Maya , Iklima Zendi , Priambodo Rinto , Riandini Riandini , Wardhani Rika Novita
Published: December 2022

Caries may be halted or reversed in their progression by early detection, better hygiene habits, and coadministered drugs. The major clinical procedures for identifying dental caries are visual-tactile examination and dental radiography. However, due to their location, approximate caries exceedingly difficult to detect and affect the clinical assessment. Incorrect interpretations may also hinder the diagnostic procedure. Computational approaches and technology can be used to help dentists assess caries. Teledentistry has the ability to improve dental health care by providing access to dental care services from a remote location. Teledentistry helps identifying various stages of caries lesions using neural network and devices connected to the internet. This research develops an image classification for teledentistry systems using depthwise separable convolutional neural network. The trainable parameters reduction of depthwise separable convolution (DSC) successfully reduces the computational cost of conventional convolutional neural networks (CNN). As a result, the DSC model is reduced by 91.49% when compared to the traditional CNN model. Several DSC models improve conventional CNN accuracies in the training, validation, evaluation, and testing stages.
DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison
Authors: Al-Shareeda Mahmood A. , Manickam Selvakumar , Saare Murtaja Ali
Published: December 2022

The security of the internet is seriously threatened by a distributed denial of service (DDoS) attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users from using it by flooding the central server with a large number of messages or requests that will cause it to reach its capacity and shut down. Because it is carried out by numerous bots that are managed (infected) by a single botmaster using a fake IP address, this assault is dangerous because it does not involve a lot of work or special tools. For the purpose of identifying and analyzing DDoS attacks, this paper will discuss various machine learning (ML) and deep learning (DL) techniques. Additionally, this study analyses and comparatives the significant distinctions between ML and DL techniques to aid in determining when one of these techniques should be used.
A comparative study on image forgery-facial retouching
Authors: Sheth Kinjal Ravi , Vora Vishal Suryakantbhai
Published: December 2022

Forgery with the digital images is being very easy now days due to the very advanced and open source image editing tools, software and devises which supports a high quality of resolutions. Tempering with digital documents for changing identity or sometimes for fun is increasing day by day as the era is of digital world. Detecting clues of tampering and verifying the authenticity of images is an important issues now-a-days and growing research field. The existing research in the area of digital image forgery identification is discussed here. Different types of image forgery attacks along with its detection and classification are discussed too. A general review of facial image authentication is studied and discussed here along with the current methods and techniques for the detection and classification. A comparative analysis is presented here for the researchers as a mind mapping to work in the same field.
Simulation of 3D-space vector modulation for neutral point clamped inverters
Authors: Ramasamy Palanisamy , Ravindran Ramkumar , Gupta Neetu , Sardana Gunjan , Sekar Indumathi , Marthanda Venugopala Aparna , Kuppusamy Selvakumar
Published: December 2022

This paper gives an idea to simulation of three-dimensional space vector modulation for neutral point clamped multilevel inverter. Three dimensional-space vector modulation (3D-SVM) algorithm is progressed method of two dimensional-space vector modulation (2D-SVM) algorithm; it leads to reduce the complexity in reference vector identification and switching time calculation, also it includes the various advantages of 2D-SVM like minimized total harmonic distortion, reduced EMI issues. A simple system for the assortment of switching state vectors to track the reference voltage vectors without using any redundant switching vectors. This proposed method tracks the reference vector by identifyinglsubcubes and prisms by using mathematicallconditions. Here the cost of the proposedltechnique is independentlof voltagellevels oflinverter. This paper realizes the accomplishment of 3D-SVM using a neutral point clamped inverter. The simulation results of the proposed method are verified using MATLAB/Simulink.
Field programmable gate array based moving object tracking system for robot navigation
Authors: Tran Hoang T. , Tran Dong LT. , Pham Quang N. , Vo Thanh C. , Nguyen Quan NA. , Nguyen Thang K. , Ha Duyen M. , Nguyen Minh T.
Published: December 2022

This paper proposes a method in which an object tracking robot system is implemented on field programmable gate arrays (FPGAs). The OV7670 camera provides real-time object pictures to the system. To improve picture quality, images are put via the median filter phase. The item is distinguished from the backdrop based on color (red), after which it is subjected to a mathematical morphological approach of filtering to eliminate noise. To send the robot control signals, the object's (new) coordinates are found. In this method, the median filter, color separation, hardware IP cores, and morphological filter are all part of the embedded system on FPGA. Through the direct memory access (DMA) controller, these cores may communicate and perform high-speed pipeline computing at higher data rates. The entire system is executed in real-time on Xilinx's spartan-6 FPGA KIT. The results show practical and promise.
Metaheuristic based routing incorporated with energy harvesting for enhanced network lifetime in WBAN
Authors: Sathya Ganeson , Evanjaline Daniel Jasmine
Published: December 2022

Wireless body area networks (WBAN) have improved healthcare industries to a large extent by providing contactless measurements and remote data analysis. However, the challenges encountered are mostly in the form of energy depletion scenarios, which results in the reduction of network lifetime to a large extent. This work presents an effective model to provide energy-efficient routing and enhanced energy harvesting mechanisms to improve network lifetime. The ant colony optimization (ACO) method has been extended to include a fitness function that takes into account several factors, and this is the basis for the routing model. These processes ensure effective routing, which conserves energy and, in turn, results in enhanced network lifetime. Performance of the proposed model has been compared with the existing state-of-the-art models in the domain. Comparison with the metaheuristic-based model, cooperative energy efficient and priority based reliable routing protocol with network coding (CEPRAN), indicates the efficiency of the energy harvesting mechanism used in the proposed work. When compared with models using energy harvesting mechanisms, results exhibit higher network lifetime, depicting the efficiency of the proposed routing mechanism.
A latent semantic analysis method for ranking the results of human disease search engine
Authors: Lam Loi Chan Quan , Toai Tran Kim , Vaclav Snasel
Published: December 2022

The human disease search engine based on the search query about disease factors (symptom, cause, position happening symptoms, i.e.,) helps users to conveniently diagnose the disease they may have anytime, anywhere. Therefore, the disease results returned by the search engine need to be accurate and ranked reasonably so that users can know which disease has the highest probability for their search query. We propose a method to arrange the returned diseases based on the latent semantic analysis (LSA) technique. This method helps to rank the disease results reasonably and meaningfully because it not only exploits the matching term frequency-inverse document frequency (TF-IDF) scores between the disease factors in the query and the disease results, but it also exploits the implicit relationship between the disease factors in the search query and the disease factors in the disease results.
Multi-dimension SVPWM-based sensorless control of 7-phase PMSM drives
Authors: Saleh Kamel , Sumner Mark
Published: December 2022

A new control technique for the 7-phase permanent magnet synchronous machine (PMSM) when a failure in the speed sensor is introduced. This will make the whole drive system more robust and at the same time reduce the cost. The speed and the position of the shaft of the motor are obtained by tracking the saturation saliency of the 7-phase motor when a failure in speed sensor is occurred. The proposed saliency-tracking algorithm is based on measuring the derivative of the stator currents of the 7-phase motor after the switching of the insulated gate bipolar transistor (IGBT) of the 7-phase inverter due to the implementation of the multi-dimension space vector pulse width modulation (SVPWM). This modulation technique is used in the 7-phase drives to suppress the 3rd and 5th harmonics. Simulation results show that the 7-phase motor drive could track the reference speed at different load conditions when a failure in the speed sensor is occurred without compromising the performance.
Solving the trapezoidal fuzzy assignment problem using the novel Dhouib-Matrix-AP1 heuristic
Authors: Dhouib Souhail , Sutikno Tole
Published: December 2022

The assignment problem is a famous problem in combinatorial optimization where several objects (tasks) are assigned to different entities (workers) with the goal of minimizing the total assignment cost. In real life, this problem often arises in many practical applications with uncertain data. Hence, this data (the assignment cost) is usually presented as fuzzy numbers. In this paper, the assignment problem is considered with trapezoidal fuzzy parameters and solved using the novel Dhouib-Matrix-AP1 (DM-AP1) heuristic. In fact, this research work presents the first application of the DM-AP1 heuristic to the fuzzy assignment problem, and a step-by-step application of DM-AP1 is detailed for more clarity. DM-AP1 is composed of three simple steps and repeated only once in n iterations. Moreover, DM-AP1 is enhanced with two techniques: a ranking function to order the trapezoidal fuzzy numbers and the min descriptive statistical metric to navigate through the research space. DM-AP1 is developed under the Python programming language and generates a convivial assignment network diagram plan.
A hybrid encryption system for communication and financial transactions using RSA and a novel symmetric key algorithm
Authors: Kuppuswamy Prakash , Al-Maliki Saeed Qasim Yahya Al Khalidi , John Rajan , Haseebuddin Mohammad , Meeran Ahmed Ali Shaik
Published: December 2022

Today's digital data transmission over unsecured wired and wireless communication channels is making encryption algorithms an increasingly important tool for securing data and information. Hybrid encryption techniques combine encryption schemes of either two symmetric keys or both symmetric and asymmetric encryption methods, and that provides more security than public or private key single encryption models. Currently, there are many techniques on the market that use a combination of cryptographic algorithms and claim to provide higher data security. Many hybrid algorithms have failed to satisfy customers in securing data and cannot prevent all types of security threats. To improve the security of digital data, it is essential to develop novel and resilient security systems as it is inevitable in the digital era. The recommended algorithm scheme is a combination of the well-known Rivest Shamir Adleman (RSA) algorithm and a simple symmetric key (SSK) algorithm. The aim of this study is to develop a better encryption method using RSA and a newly proposed symmetric SSK algorithm. We believe that the proposed hybrid cryptographic algorithm provides more security and privacy.
Smoothing-aided long-short term memory neural network-based LTE network traffic forecasting
Authors: Hassan Mohamed Khalafalla , Sayed Ariffin Sharifah Hafizah , Syed-Yusof Sharifah Kamilah , Ghazali Nurzal Effiyana , Ahmed Kanona Mohammed Eltayeb , Rava Mohamed
Published: December 2022

There is substantial demand for high network traffic due to the emergence of new highly demanding services and applications such as the internet of things (IoT), big data, blockchains, and next-generation networks like 5G and beyond. Therefore, network resource planning and forecasting play a vital role in better resource optimization. Accordingly, forecasting accuracy has become essential for network operation and planning to maintain the minimum quality of service (QoS) for real-time applications. In this paper, a hybrid network- bandwidth slice forecasting model that combines long-short term memory (LSTM) neural network and various local smoothing techniques to enhance the network forecasting model's accuracy was proposed and analyzed. The results show that the proposed hybrid forecasting model can effectively improve the forecasting accuracy with minimal data loss.
O encontro da clínicopolítica com a escola: tensões entre o singular e o social na escolarização de crianças imigrantes
Authors: Primo Joana Sampaio , Rosa Miriam Debieux
Published: December 2022

O presente artigo pretende discutir algumas facetas da construção de intervenções psicanalíticas clinicopolíticas com escolas. Parte-se de uma pesquisa-intervenção em algumas escolas municipais da cidade de São Paulo que se viram confrontadas com o silêncio de crianças de origem imigrante como um enigma a ser cuidado pelas instituições. Tem-se como objetivo discutir as tensões entre um sintoma singular e suas inscrições coletivas na produção de intervenções clinicopolíticas com escolas, estas que tem como intuito é contribuir para escolarização das crianças de origem migrante. O artigo se guiará construção do acompanhamento de uma criança que não falava nenhuma língua e colocava entraves em sua escolarização. Sublinha-se a tensão entre um sintoma singular e uma verdade social para escutar esses sintomas que, de outra forma, poderiam continuar silenciados.
Dar lugar à palavra: reverberações da clínica com imigrantes bolivianos num CAPS infantojuvenil
Authors: Joia Julia Hatakeyama , Diogo Janaína Lopes , Carvalho Sthefânia Kurkdjian Restiffe de , Munhoz Cláudia Nabarro
Published: December 2022

A chegada de crianças filhas de imigrantes bolivianos no CAPS infantojuvenil Mooca vem ocorrendo com maior frequência. Essas crianças chegam ao serviço com queixas de problemas do desenvolvimento, destacando-se atraso na fala e dificuldade na interação, muitos com a hipótese diagnóstica de autismo interrogada. Neste artigo, apresentaremos um grupo terapêutico com imigrantes, que possibilitou um espaço de acolhimento para crianças e famílias e a abertura para narrar e elaborar sobre vivências de sofrimento, desenraizamento e solidão. Buscaremos ampliar as leituras possíveis para os problemas do desenvolvimento apresentados pelas crianças, interrogando como podem estar relacionados à experiência de imigração e seus efeitos sociopolíticos na subjetividade. Por fim, discutiremos como a demanda social por diagnósticos responde à razão psiquiátrica contemporânea e não à demanda de cuidado e escuta das crianças.
Passagens adolescentes em afrodiáspora: do estado-coisa ao estado de sujeito
Authors: Bemfica Aline Guimarães , Poli Maria Cristina
Published: December 2022

Propomos uma reflexão sobre o acolhimento da urgência subjetiva e a orientação de jovens originários da África subsaariana nos serviços da rede de proteção da infância francesa. A partir do acompanhamento clínico de uma adolescente de origem senegalesa, realizado durante um ano em um centro de acolhimento de jovens menores não acompanhados da família e em situação de migração, apresentaremos os pilares de uma práxis psicanalítica realizada nestas condições. Em um segundo momento, abordaremos um caso clínico no qual a urgência subjetiva se apresenta pelo viés da perplexidade como resposta a violações sexuais, errância e exílio vividos em um percurso migratório. Finalmente, refletiremos sobre a apropriação do estrangeiro-íntimo como potencialidade de reedição narrativa e produção de ancoragens diante do trauma.
Avaliação dos riscos de transmissão do SARS-CoV-2 durante o treinamento de um clube de futebol no Brasil
Authors: Mataruna-Dos-Santos Leonardo José , Silva Gabriel Nascimento , Nascimento Rodrigo Mendonça do , Oliveira Eduardo Thomaz de , Costa Angela Marta Souza da , Cavalari Nadine Tonelli , Ortiz-Silva Bianca
Published: December 2022

A COVID-19 é uma doença infecciosa, com transmissão respiratória, ocasionada pelo novo coronavírus. Em virtude da alta transmissibilidade viral, as atividades desportivas foram severamente impactadas em todo o mundo e, no Brasil, o futebol foi paralisado por cerca de quatro meses. O objetivo do estudo foi identificar as atividades com maior risco em um clube de futebol da Cidade do Rio de Janeiro, a partir de estudo transversal com ênfase semiquantitativa. Os resultados demonstraram que o treino físico mostrou maior número de toques (105) com grande prevalência de mão na bola (94%). A pesquisa de anticorpos identificou que 24,2% testaram positivo para IgG durante o estudo. Durante a fase de treinamento não foram identificados casos de transmissão do SARS-CoV-2 entre jogadores e staff. Acredita-se que as medidas de biossegurança e o comprometimento individual e coletivo de todos no isolamento social e nas medidas de higiene constituem importante estratégia para a viabilidade das atividades esportivas.
How Much Attention Do We Pay to Attention Deficits in Poststroke Aphasia?
Authors: Varkanitsa Maria , Godecke Erin , Kiran Swathi
Published: December 2022

Although language deficits are the primary area of weakness, people with poststroke aphasia often experience challenges with nonlinguistic cognitive skills, including attention processing. The purpose of this review is to synthesize the evidence for the relationship between attention deficits and language deficits in people with poststroke aphasia. Three different types of studies are reviewed: (1) studies exploring whether people with poststroke aphasia exhibit concomitant attention and language deficits, (2) studies explicitly exploring the relationship between attention and language deficits in people with poststroke aphasia, and (3) either language or attention (or both) treatment studies exploring whether treatment gains in one domain generalize to the other. In the last section, we briefly review research evidence for the neural basis of the attention-language relationship in aphasia.
Taxonomic changes in the Neotropical wasp moths, Euchromiina and Ctenuchina (Lepidoptera, Erebidae, Arctiinae, Arctiini) relating to the fauna of Trinidad & Tobago, with descriptions of new species
Authors: COCK MATTHEW J.W. , LAGUERRE MICHEL
Published: December 2022

The following new species are described: Calonotos flemingi new species from Trinidad; Valvaminor jacerda new species from Trinidad and Venezuela. The following species are made subspecies new status: Calonotos tripunctata Druce, 1898 of C. aterrima (Sepp, 1847); Calonotos craneae Fleming, 1957 of Calonotos helymus (Cramer, 1775). The following subspecies is raised to species new status: Cosmosoma bolivarensis Klages, 1906 (formerly Cosmosoma achemon var. bolivarensis). The following are new combinations: Myrmecopsis kenedyae (Fleming, 1957) (Euchromiina) (formerly Pseudosphex kenedyae Ctenuchina); Valvaminor endoleuca (Druce, 1905) (formerly Mesothen endoleuca); Xanthyda beebei (Fleming, 1957) (formerly Pheia beebei); Eucerioides obliquifascia (Rothschild, 1912) (formerly Eucereon obliquifascia); Uranophora andrei (Rothschild, 1912) (formerly Ctenucha andrei). A lectotype is designated for Calonotos tiburtus trinidadensis Strand, 1915, which is a new synonym of Calonotos aterrima (Sepp, 1847). Aethria jacksoni Kaye 1925 is a new synonym of Aethria aner Hampson 1905.
Two new species of Xyalidae (Nematoda: Monhysterida) from intertidal zone of the Bohai Sea, China
Authors: ZHAI HONGXIU , GENG CHUNXIAO , SUN JUN
Published: December 2022

Two new nematode species are described from the intertidal zone of the Bohai Sea, China. Paramonohystera gracilis sp. nov. is characterized by slender body with a long filiform tail; oval amphidial fovea 6 µm in diameter; spicules slender, 3.4 a.b.d. long; gubernaculum small, plate shaped without apophysis. It differs from the most similar species P. riemanni (Platt, 1973) Lorenzen, 1977 by much slender body and longer filiform tail. Amphimonhystrella boucheri sp. nov. is characterized by short body, deep buccal cavity with funnel shaped anterior portion, circular amphids, conico-cylindrical tail with two thirds conical anterior portion and a third cylindrical posterior portion, small spicules L-shaped and gubernaculum with short apophysis. It is distinguished from the most similar species A. unita Lorenzen, 1977 in buccal cavity funnel shaped, small amphidial fovea circular, spicules short with tapered distal end. Updated keys for valid species of Paramonohystera and Amphimonhystrella are provided.
Odontanthias grahami Randall & Heemstra, a junior synonym of Anthias xanthomaculatus Fourmanoir & Rivaton (Teleostei: Serranidae: Anthiadinae)
Authors: GILL ANTHONY C. , TANG CHI-NGAI
Published: December 2022

Although previously classified in the genus Pseudanthias Bleeker, 1871, the holotype of Anthias xanthomaculatus Fourmanoir & Rivaton, 1979 from New Caledonia was recently shown to be a juvenile specimen of the genus Odontanthias Bleeker, 1873, and possibly conspecific with Odontanthias grahami Randall & Heemstra, 2006 from eastern Australia. Meaningful comparison with the latter species was problematic as it was known only from four adult specimens. Recent collection of a size series of six specimens from the Lord Howe Rise confirms that the two nominal species are conspecific. Odontanthias grahami is therefore placed in the synonymy of A. xanthomaculatus.
Two new unique hibiscus-inhabiting species of the plant bug genus Sejanus Distant from Japan and Taiwan (Hemiptera: Heteroptera: Miridae: Phylinae)
Authors: YASUNAGA TOMOHIDE , DUWAL RAM KESHARI
Published: December 2022

Two new species of the leucophoropterine plant bug genus Sejanus Distant are described, namely S. epicurus n. sp. (Pingtung, Taiwan) and S. ryujin n. sp. (Nagasaki, Japan). Both species were recently confirmed to be associated cryptically with the bracts and flower buds of Hibiscus spp. (Malvaceae). An updated key is provided to aid in identification of the Japanese and Taiwanese congeners.
Review of Homalocnemidae of Chile with a key to species and descriptions of male and female terminalia (Diptera: Empidoidea)
Authors: RAFAEL JOSÉ A. , MARQUES DAYSE W.A. , GONZÁLEZ CHRISTIAN R. , SINCLAIR BRADLEY J.
Published: December 2022

The Homalocnemidae of Chile is reviewed, including the descriptions of the male and female terminalia of the two known species: H. nigripennis Philippi and H. praesumpta Collin. All references pertaining to Chilean Homalocnemis Philippi and the two known species are provided. Geographical distributions of the species were compiled and mapped from bibliographic data and collections. An illustrated key to the two species is also presented.
Notes on the systematics and nomenclature of some taxa of the genus Chlaenius Bonelli, 1810 (Coleoptera, Carabidae) from the Far East
Authors: SUNDUKOV YURII N. , MAKAROV KIRILL V.
Published: December 2022

A revision of some Far Eastern Chlaenius species is presented. The following synonyms are proposed: Chlaenius circumductus A. Morawitz, 1862 = Chlaenius lineellus Motschulsky, 1859, syn. nov.; Chlaenius semipurpureus Motschulsky, 1865 = Chlaenius posticalis Motschulsky, 1854, syn. nov. Lectotypes of Chlaenius lineellus Motschulsky, 1859, Chlaenius semipurpureus Motschulsky, 1865 and Chlaenius hospes A. Morawitz, 1862, as well as the holotype of Chlaenius posticalis Motschulsky, 1854 are designated. Only one species of the subgenus Agostenus Fischer von Waldheim, 1829, viz. Chlaenius quadrisulcatus (Paykul, 1790), is shown to populate the Far Eastern islands of Sakhalin and Kunashir (Russia), and Hokkaido and Honshu (Japan), which is new to the fauna of the Kuril Archipelago.
First pselaphine beetles from Xinjiang Uygur Autonomous Region, China (Coleoptera: Staphylinidae: Pselaphinae)
Authors: YIN ZI-WEI
Published: December 2022

The genus Brachygluta Thomson, 1859 and two widely distributed Central Asian species, B. iranica (Saulcy, 1876) and Trissemus melinus (Solsky, 1870), are newly recorded from China (Xinjiang). A diagnosis, illustrations of the habitus and morphological details of both species, and a redescription of T. melinus is provided.
Classification of Fundus Images Using Convolutional Neural Networks
Authors: Sabitha R. , Ramani G.
Published: December 2022

Diabetes causes damage to the retinal blood vessel networks, resulting in Diabetic Retinopathy (DR). This is a serious vision-threatening condition for most diabetics. Color fundus photographs are utilized to diagnose DR, which necessitates the employment of qualified clinicians to
detect the presence of lesions. It is difficult to identify DR in an automated method. Feature extraction is quite important in terms of automated sickness detection. Convolutional Neural Network (CNN) exceeds previous handcrafted feature-based image classification algorithms in terms of picture
classification efficiency in the current environment. In order to improve classification accuracy, this work presents the CNN structure for extracting attributes from retinal fundus images. The output properties of CNN are given as input to different machine learning classifiers in this recommended
strategy. This approach is evaluating using pictures from the EYEPACS datasets using Decision stump, J48 and Random Forest classifiers. To determine the effectiveness of a classifier, its accuracy, false positive rate (FPR), True positive Rate (TPR), precision, recall, F-measure, and Kappa-score
are illustrated. The recommended feature extraction strategy paired with the Random forest classifier outperforms all other classifiers on the EYEPACS datasets, with average accuracy and Kappa-score (k-score) of 99% and 0.98 respectively.