bluuebunny/crossref_metadata_2025 huggingface dataset:
Why the diabetic heart is energy inefficient: a ketogenesis and ketolysis perspective
Authors: Mishra Paras Kumar
Published: September 2021

Lack of glucose uptake compromises metabolic flexibility and reduces energy efficiency in the diabetes mellitus (DM) heart. Although increased use of fatty acid to compensate glucose substrate has been studied, less is known about ketone body metabolism in the DM heart. Ketogenic diet reduces obesity, a risk factor for T2DM. How ketogenic diet affects ketone metabolism in the DM heart remains unclear. At the metabolic level, the DM heart differs from the non-DM heart because of altered metabolic substrate and the T1DM heart differs from the T2DM heart because of insulin levels. How these changes affect ketone body metabolism in the DM heart are poorly understood. Ketogenesis produces ketone bodies by using acetyl-CoA, whereas ketolysis consumes ketone bodies to produce acetyl-CoA, showing their opposite roles in the ketone body metabolism. Cardiac-specific transgenic upregulation of ketogenesis enzyme or knockout of ketolysis enzyme causes metabolic abnormalities leading to cardiac dysfunction. Empirical evidence demonstrates upregulated transcription of ketogenesis enzymes, no change in the levels of ketone body transporters, very high levels of ketone bodies, and reduced expression and activity of ketolysis enzymes in the T1DM heart. Based on these observations, I hypothesize that increased transcription and activity of cardiac ketogenesis enzyme suppresses ketolysis enzyme in the DM heart, which decreases cardiac energy efficiency. The T1DM heart exhibits highly upregulated ketogenesis compared with the T2DM heart because of the lack of insulin, which inhibits ketogenesis enzyme.
Effects of Natural Convalescent Factors Combined with Motor Intelligence Management on Patients’ Blood Pressure
Authors: Li Shasha , Hu Zhuoming , Zhang Jianping
Published: September 2021

To explore the application of natural convalescent factors combined with exercise intelligence management in blood pressure control of patients with hypertension, 102 patients with hypertension who were admitted from January 2017 to August 2019 were selected as the research subjects. According to the odd-even number method, they were divided into two groups with 51 cases in each group. The control group was treated with natural convalescent factor therapy alone, and the observation group was treated with natural convalescent factor combined with motor intelligence management. The application effects of the two groups were compared. Before sports intelligence management, the levels of systolic blood pressure (SBP) in control group and observation group were (145.45 ± 8.44) mmHg (1 mmHg = 0.133 kPa) and (146.55 ± 8.37) mmHg, respectively; the diastolic blood pressure (DBP) levels of the control group and the observation group were (98.47 ± 3.48) mmHg and (98.94 ± 3.48) mmHg, respectively, with no statistical significance (

P
>
0.05

). After the exercise intelligence management, the SBP levels of the control group and the observation group were (132.76 ± 4.48) mmHg and (130.06 ± 2.48) mmHg, respectively. The DBP levels of the control group and the observation group were (85.48 ± 5.38) mmHg and (83.47 ± 3.35) mmHg, respectively. The difference was statistically significant (

P
<
0.05

). The scores of each index of quality of life in the observation group were higher than those in the control group, and the differences of physical function and psychological/mental scores were significant. The scores of physical function in the two groups before administration were (48.36 ± 1.69) and (48.74 ± 1.62), and the differences were not statistically significant (

P
>
0.05

). After management, the physiological function scores of the two groups were (40.32 ± 1.33) and (32.15 ± 1.54) and the difference was statistically significant (

P
<
0.05

). There were no significant differences in the psychological (30.75 ± 1.26)/mental scores (30.26 ± 1.48) between the two groups before management (

P
>
0.05

), but there were significant differences in the psychological (25.30 ± 1.02)/mental scores (18.76 ± 1.36) between the two groups after management (

P
<
0.05

). The combination of natural convalescent factors and intelligent exercise management can effectively control the blood pressure level and improve the quality of life of patients with hypertension, and the clinical application effect is good.
A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning
Authors: Ihnaini Baha , Khan M. A. , Khan Tahir Abbas , Abbas Sagheer , Daoud Mohammad Sh. , Ahmad Munir , Khan Muhammad Adnan
Published: September 2021

The prediction of human diseases precisely is still an uphill battle task for better and timely treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the world. It attacks different vital parts of the human body, like Neuropathy, Retinopathy, Nephropathy, and ultimately Heart. A smart healthcare recommendation system predicts and recommends the diabetic disease accurately using optimal machine learning models with the data fusion technique on healthcare datasets. Various machine learning models and methods have been proposed in the recent past to predict diabetes disease. Still, these systems cannot handle the massive number of multifeatures datasets on diabetes disease properly. A smart healthcare recommendation system is proposed for diabetes disease based on deep machine learning and data fusion perspectives. Using data fusion, we can eliminate the irrelevant burden of system computational capabilities and increase the proposed system’s performance to predict and recommend this life‐threatening disease more accurately. Finally, the ensemble machine learning model is trained for diabetes prediction. This intelligent recommendation system is evaluated based on a well‐known diabetes dataset, and its performance is compared with the most recent developments from the literature. The proposed system achieved 99.6% accuracy, which is higher compared to the existing deep machine learning methods. Therefore, our proposed system is better for multidisciplinary diabetes disease prediction and recommendation. Our proposed system’s improved disease diagnosis performance advocates for its employment in the automated diagnostic and recommendation systems for diabetic patients.
Therapy Strategy of CD47 in Diffuse Large B-Cell Lymphoma (DLBCL)
Authors: Zhang Wenqi , Fan Yanfeng , Li Meng , Yang Linqi , Zhang Zhenya , Liu Lihong
Published: September 2021

At present, the use of the common chemotherapy regimen CHOP/R-CHOP for diffuse large B-cell lymphoma (DLBCL) has some shortcomings, especially for relapsed and refractory DLBCL. CD47 is now considered as a prominent target in cancer therapies, and CD47 blockade mainly inhibits the CD47-SIRPα axis to prevent tumor immune escape. Here, we evaluated the effects of the latest CD47 antibodies reported and the correlations of closely related genes with CD47 in this disease. In the future, therapeutic strategies for DLBCL will focus on multitarget antibody combined treatment and multigene joint attacks.
A Review of Total Hip Arthroplasty Comparison in FNF and OA Patients
Authors: Szczesiul Jakub , Bielecki Marek
Published: September 2021

Background. Worldwide, total hip arthroplasty (THA) has become one of the most commonly performed surgical procedures. Femoral neck fracture (FNF) and osteoarthritis (OA) are two of the medical conditions necessitating a hip replacement, most frequently carried out. The preoperative and postoperative pathways for patients suffering from these two diseases differ, yet worldwide, many national healthcare systems underestimate or misinterpret the (more than nuanced) care plan differences of the two. Factors and Criteria. Analyzed material was gathered from studies published between 2013 and 2019. Various strands of data demographics, comorbidities, and complications, as well as treatment outcomes, were tabulated to compare and contrast THA patients suffering from FNF and OA to collate their findings. Outcomes were cross-checked and validated for reliability and then were presented in a table format. Results. All five retrospective cohort studies fitted the required criteria for inclusion in this work, four US-based study groups and one European-based study group. Data were gathered from three separate databases. The “average” FNF patient is 76.8 years old. There was a 68.96% female probability. The “average” OA patient is 69.15 years old. There was a 5.24% female probability. 59.57% operated for athrosis, and only 34.63% operated for fracture which received grade lower than the third in the American Society of Anaesthesiologist (ASA) classification. There was more than 3 times higher prevalence of complications in the trauma group. FNF patients’ hospitalization was approximately 3 days longer. On average, 3.7% of patients operated for trauma and 1.5% of patients with elective THA required a second surgery. 6.57% FNF and 2.93% OA patients had unplanned readmission. Conclusions. In general, patients who suffer a femoral neck fracture are an extremely fragile group. They require additional perioperative and postoperative care. To meet these desired expectations, more FNF cost-comprehensive systems need to be initiated.
Application of Magnetic Nano-Immobilized Enzyme in Soybean Oil Degumming: Numerical Simulation in a Liquid-Solid MFB
Authors: Chen Kuiren , Wang Tong , Wang Hong , Geng Haoyuan , Du Jing , Yu Dianyu , Elfalleh Walid , Mehrez Zouhaier , Wang Liqi
Published: September 2021

Using crude soybean oil (CSO) as fluid and nanomagnetic immobilized phospholipase C (PLC) as fluidizing particles, the Eulerian–Lagrangian fluid-particle two-phase flow model was used to numerically simulate the law of motion of fluidizing particles in the magnetic fluidized bed (MFB). The main parameters were obtained by numerical simulation based on the discrete element method (DEM). The nanomagnetic PLC in the MFB was optimal to the enzymatic reaction by limiting the iteration step size to 3 × 10−5, the boundary condition to 20 × 300 mm, the opening rate to 37.5%, the condition of CSO flow rate to 0.01 m/s, and the magnetic field strength to 0.02T. After 2.0 h of reaction, the amount of residual phosphorus in the oil was 55.73 mg/kg, the content of 1, 2-DAG was 1.42%, and the nanomagnetic enzyme still had 97% relative activity. Hence, these optimal conditions can improve the efficiency and the stability of the nanomagnetic enzymatic reaction.
Macroeconomic Short-Term High-Precision Combined Forecasting Algorithm Based on Grey Model
Authors: Li Cao
Published: September 2021

Using the characteristics of grey forecasting, which requires a small amount of sample data and a simple modeling process, to predict the main macroeconomic indicators in the early stage, combined with the filtering decomposition method and the production function method, establishes a short-term high-precision combination forecasting algorithm for macroeconomics based on the grey model. The algorithm uses the improved HP filter method in the HP filter method to study whether the potential economic growth rate can be more accurately measured, and the production function method is used to calculate the potential economic growth rate. First, the two methods are used to calculate the potential economic growth rate. The accuracy of this method finally established a combined model based on the two models for short-term forecasting. Under the premise of considering economic factors, the input data is preprocessed, and the high-precision combined forecast is used to finally obtain the macroeconomic forecast results. The calculation examples in the paper show that the method is feasible and effective.
Preparation Optimization and Performance Evaluation of Waterborne Epoxy Resin for Roads
Authors: Wang Fei , Fu Hao , Liu Guixiang , Wang Chaohui , Yu Sixin
Published: September 2021

To further improve the road performance of waterborne epoxy resin, it was prepared by using the phase inversion method. The tensile properties, bending properties, impact resistance, and storage stability of waterborne epoxy resin were determined. The bonding properties of waterborne epoxy resin were analyzed. At the same time, their properties were compared with those of waterborne epoxy resin prepared by using the curing agent emulsification method. The performance of waterborne epoxy resin was comprehensively evaluated based on multi‐index grey target decision model. The results show that the optimum preparation parameters for the preparation of waterborne epoxy resin by phase inversion method are shear time 1.5 h, shear temperature 60°C, and shear rate 1300–1500 r/min. The suitable contents of emulsifier A and B are 18% and 16%, respectively. The tensile strength, elongation at break, bending strength, bending deformation, and impact strength of waterborne epoxy resin prepared by emulsifier A can reach 34.46 MPa, 12.96%, 85.37 MPa, 19.42 mm, and 15.66 kJ/m2, respectively. It shows improved mechanical strength, deformation ability, impact resistance, and bonding performance. The comprehensive properties of waterborne epoxy resin prepared by emulsifier A are the best. It is suggested to use phase inversion method to prepare waterborne epoxy resin for roads.
Secrecy Energy‐Efficient UAV Communication via Trajectory Design and Power Control
Authors: Li An , Han Huohuo , Yu Chuanxin
Published: September 2021

This paper investigates the problem of maximizing the secrecy energy efficiency (SEE) for unmanned aerial vehicle‐ (UAV‐) to‐ground wireless communication system, in which a fixed‐wing UAV tries to transmit covert information to a terrestrial legitimate destination receiver with multiple terrestrial eavesdroppers. In particular, we intend to maximize the worst‐case SEE of UAV by jointly optimizing UAV’s flight trajectory and transmit power over a finite flight period. However, the formulated problem is challenging to solve because of its large‐scale nonconvexity. For efficiently solving this problem, we first decouple the above optimization problem into two subproblems and then propose an alternating iterative algorithm by adopting block coordinate descent method and Dinkelbach’s algorithm as well as successive convex approximation technique to seek a suboptimal solution. For the sake of performance comparison, two benchmark schemes, the secrecy rate maximization (SRM) scheme and constrained energy minimization (CEM) scheme are considered to obtain more useful insights. Finally, simulation results are executed to verify that our proposed SEE maximization (SEEM) algorithm is superior to two benchmark schemes for the UAV‐ground communication system.
A Novel Clinical Scoring Model for Interventional Therapy in Chronic Total Occlusion of the Coronary Artery
Authors: Xiao Bin , Hong Lang , Cai Xinyong , Zhu Hongmin , Li Bin , Shao Liang
Published: September 2021

Objective. With the rapid development of technology and experience, the current percutaneous coronary intervention of chronic total occlusion (CTO-PCI) preoperative scoring model needs to be updated. This study aimed to evaluate the clinical value of the operator-CTO score in predicting the outcome of interventional therapy for chronic total occlusion of the coronary artery. Methods. The data of 144 lesions in 130 patients with CTO were analyzed prospectively. The CTO procedures were performed by 10 operators with different skills and experiences. Before the procedures, J-CTO, progress, ORA, recharge, and operator-CTO scores were determined. Then, the clinical, imaging, and procedural data of patients in different operator-CTO score groups and between different operators were compared. The final focus was on comparing the predictive ability of each score on the outcome of CTO-PCI. Results. The overall technical and procedural success rates were 90.9% and 88.9%, respectively. A decreasing trend in the technical success of CTO-PCI was observed according to the operator-CTO score hierarchy of “easy (≤2 points), moderate (3 points), difficult (4 points), and extremely difficult (≥5 points)” (99.0%, 87.5%, 53.8%, and 25.0%, respectively). All five scoring models were well calibrated, and the area under the curve (AUC) for the operator-CTO score was 0.901 (95% CI: 0.821–0.982,

P
<
0.01

), larger than the AUC for the remaining four scoring models, showing excellent ability to predict technical outcomes. Conclusion. The operator-CTO score is a new clinical scoring tool that can predict the outcome of CTO-PCI and can be used to grade the difficulty of the procedure, with the potential to work well with a broad group of operators.
Environmental Enrichment Mitigates Age-Related Metabolic Decline and Lewis Lung Carcinoma Growth in Aged Female Mice
Authors: Queen Nicholas J. , Deng Hong , Huang Wei , Mo Xiaokui , Wilkins Ryan K. , Zhu Tao , Wu Xiaoyu , Cao Lei
Published: September 2021

Aging is a complex physiological process that leads to the progressive decline of metabolic and immune function, among other biological mechanisms. As global life expectancy increases, it is important to understand determinants of healthy aging—including environmental and genetic factors—and thus slow the onset or progression of age-related disease. Environmental enrichment (EE) is a housing environment wherein laboratory animals engage with complex physical and social stimulation. EE is a prime model to understand environmental influences on aging dynamics, as it confers an antiobesity and anticancer phenotype that has been implicated in healthy aging and health span extension. Although EE is frequently used to study malignancies in young mice, fewer studies characterize EE-cancer outcomes in older mice. Here, we used young (3-month-old) and aged (14-month-old) female C57BL/6 mice to determine whether EE would be able to mitigate age-related deficiencies in metabolic function and thus alter Lewis lung carcinoma (LLC) growth. Overall, EE improved metabolic function, resulting in reduced fat mass, increased lean mass, and improved glycemic processing; many of these effects were stronger in the aged cohort than in the young cohort, indicating an age-driven effect on metabolic responses. In the aged-EE cohort, subcutaneously implanted LLC tumor growth was inhibited and tumors exhibited alterations in various markers of apoptosis, proliferation, angiogenesis, inflammation, and malignancy. These results validate EE as an anticancer model in aged mice and underscore the importance of understanding environmental influences on cancer malignancy in aged populations.

Prevention Relevance:

Environmental enrichment (EE) serves as a model of complex physical and social stimulation. This study validates EE as an anticancer intervention paradigm in aged mice and underscores the importance of understanding environmental influences on cancer malignancy in aged populations.
Rich-Club Analysis of the Structural Brain Network in Cases with Cerebral Small Vessel Disease and Depression Symptoms
Authors: Lu Yanjing , Li Yifan , Feng Qian , Shen Rong , Zhu Hao , Zhou Hua , Zhao Zhong
Published: September 2021

Background: Altered white matter brain networks have been extensively studied in cerebral small vessel disease (SVD). However, there exists currently a deficiency of comprehending the performance of changes within the structural networks of the brain in cases with cerebral SVD and depression symptoms. The main aim of the present research is to study the network topology behaviors and features of rich-club organization in SVD patients using graph theory and diffusion tensor imaging (DTI) to characterize changes in the microstructure of the brain. Methods: DTI datasets were acquired from 26 SVD patients with symptoms of depression (SVD + D) and 26 SVD patients without symptoms of depression (SVD − D), and a series of neuropsychological assessments were completed. A structural network was created using a deterministic fiber tracking method. The analysis of rich-club was performed in company with analysis of the global network features of the network to characterize the topological properties of all subjects. Results: DTI data were obtained from SVD patients who manifested symptoms of depression (SVD + D) and from control SVD patients (SVD − D). In comparison with SVD − D patients, SVD + D cases demonstrated a diminished coefficient of clustering along with lower global efficiencies and longer path length characteristics. Rich-club analysis showed SVD + D patients had decreased feeder connectivity and local connectivity strengths compared to SVD − D patients. Our data also showed that the feeder connections in the brain correlated significantly with the severity of depression in SVD + D patients. Conclusions: Our study revealed that SVD patients with depressive symptoms have disrupted white matter networks that characteristically have reduced network efficiency compared to the networks in other SVD patients. Disrupted information interactions among the regions of nonrich-club and rich-club in SVD cases are related to the severity of depression. Our data suggest that DTI may be utilized as an appropriate biomarker for the diagnosis of depression in comorbid SVD patients.
Using Fractional Anisotropy Imaging to Detect Mild Cognitive Impairment and Alzheimer’s Disease among Mexican Americans and Non-Hispanic Whites: A HABLE Study
Authors: Hall James R. , Johnson Leigh A. , Zhang Fan , Petersen Melissa , Toga Arthur W. , Shi Yonggang , Mason David , Rissman Robert A. , Yaffe Kristine , O’Bryant Sid E. ,   for the HABLE Study
Published: September 2021

Introduction: Alzheimer’s disease (AD) is the most frequently occurring neurodegenerative disease; however, little work has been conducted examining biomarkers of AD among Mexican Americans. Here, we examined diffusion tensor MRI marker profiles for detecting mild cognitive impairment (MCI) and dementia in a multi-ethnic cohort. Methods: 3T MRI measures of fractional anisotropy (FA) were examined among 1,636 participants of the ongoing community-based Health & Aging Brain among Latino Elders (HABLE) community-based study (Mexican American n = 851; non-Hispanic white n = 785). Results: The FA profile was highly accurate in detecting both MCI (area under the receiver operating characteristic curve [AUC] = 0.99) and dementia (AUC = 0.98). However, the FA profile varied significantly not only between diagnostic groups but also between Mexican Americans and non-Hispanic whites. Conclusion: Findings suggest that diffusion tensor imaging markers may have a role in the neurodiagnostic process for detecting MCI and dementia among diverse populations.
Carotid Compliance and Parahippocampal and Hippocampal Volume over a 20-Year Period
Authors: Baradaran Hediyeh , Delic Alen , McNally J. Scott , Alexander Matthew , Majersik Jennifer J. , Parker Dennis L. , de Havenon Adam
Published: September 2021

Introduction: We evaluated the association between carotid compliance, a measure of arterial stiffness, to parahippocampal volume (PHV) and hippocampal volume (HV) over 20 years later in the Atherosclerosis Risk in the Community study. Methods: We included participants with common carotid compliance measurements at visit 1 (1987–1989) and volumetric brain MRI at visit 5 (2011–2013). The primary outcomes are pooled bilateral PHV and HV. We performed linear regression models adjusting for age, sex, vascular risk factors, and total brain volume. Results: Of the 614 participants, higher compliance was correlated with higher PHV (R = 0.218[0.144–0.291], p < 0.001) and HV (R = 0.181 [0.105–0.255, p < 0.001]). The association was linear and significant after adjusting for confounders. At follow-up MRI, 30 patients with dementia had lower PHV and HV than patients without dementia (p < 0.001 and p < 0.001, respectively). Conclusion: Carotid compliance is associated with higher PHV and HV when measured 20 years later, further supporting the link between arterial stiffness and cognitive decline.
The Inhibitory Effect of Wood Creosote on the Movement of Anisakis Larvae: An Implication for the Treatment of Acute Anisakiasis
Authors: Ogata Norio , Tagishi Hideaki
Published: September 2021

Introduction: Anisakiasis is a common disease in countries such as Japan, where raw or undercooked marine fish are frequently consumed. The disease is caused by accidental ingestion of a live larva of Anisakis in raw or undercooked marine fish. In typical cases, it causes abrupt gastrointestinal symptoms, such as epigastric pain, nausea, and vomiting. According to a published report, the disease was alleviated by oral ingestion of an over-the-counter drug containing wood creosote. Methods: We performed an in vitro experiment to elucidate whether wood creosote can inhibit the motor activity of Anisakis larvae, using infrared locomotion tracking and agarose gel penetration techniques. Results: Our results clearly demonstrate that wood creosote inhibits the motor activity of Anisakis larvae. The concentration of wood creosote used in our experiment is similar to that found in stomach juice when a usual oral dose is taken of the medicine containing wood creosote. Discussion/Conclusion: Our results suggest the potential usefulness of the medicine containing wood creosote in the treatment of acute Anisakis infection of the gastrointestinal tract.
International Dermatology Outcome Measures (IDEOM): Report from the 2020 Annual Meeting
Authors: Kohn Alison H. , Alavi Afsaneh , Armstrong April W. , Babalola Folawiyo , Garg Amit , Gottlieb Alice B. , Grilli Lesley , Jemec Gregor Borut Ernst , Latella John , Marcus Kendall , Merola Joseph F. , Ortega-Loayza Alex G , Siegel Daniel M. , Strand Vibeke , Tan Jerry K.L. , Perez-Chada Lourdes M.
Published: September 2021

Background: The International Dermatology Outcome Measures (IDEOM) initiative is a non-profit organization that aims to develop evidence-based outcome measurements to evaluate the impact of treatments for patients with dermatological disease. IDEOM includes all key stakeholders in dermatology (patient, physician, industry, insurer, and government) during the process of developing such outcome measurements. Summary: Here, we provide an update of IDEOM activities that were presented at the 2020 IDEOM Virtual Annual Meeting (October 23–24, 2020). During the meeting, multiple IDEOM workgroups (psoriasis, psoriatic arthritis, hidradenitis suppurativa, acne, pyoderma gangrenosum, and actinic keratosis) shared their progress to date, as well as future directions in developing and validating Patient-Reported Outcome Measures. Updates on demonstrating efficacy in clinicals trials by the US Food and Drug Administration are also summarized. Key Messages: In this report, we summarize the work presented by each IDEOM workgroup (psoriasis, psoriatic arthritis, hidradenitis suppurativa, acne, pyoderma gangrenosum, and actinic keratosis) at the 2020 IDEOM Virtual Annual Meeting.
Image Mosaic Method Based on Gaussian Second-order Difference Feature Operator
Authors: Yong Chen , Yu-bin Hao Hao , Di Zhan
Published: September 2021

To compose the wide visual angle and high resolution image from the sequence of images which have overlapping region in the same scene quickly and correctly, an improved SIFT algorithm which is based on D2oG interest point detector was proposed. It extracted the image feature points and generated corresponding feature descriptors by improved SIFT algorithm. Then, using the random consistency (RANSAC) algorithm purified feature point matching pairs and calculating the transformation matrix H. Last, complete the seamless mosaic of images by using the image fusion algorithm of slipping into and out. It respectively process the images which had the four typical transformations with the traditional SIFT and the proposed method. The result indicated that the number of feature pairs is fewer than SIFT algorithm and the mosaic time is shorter, and then the matching efficiency is higher than the later. This proposed method reduces the complexity of operation and improves real-time of image mosaic simultaneously.
Modeling and Control Analysis of Wind Turbine of Two Bladed and Three Bladed Wind Turbine Systems
Authors: Suresh Kumar L V , Jaganmohanarao Chintu , Lakshmi B Sai
Published: September 2021

The wind power industry is currently the fastest growing renewable energy sector throughout the world. the aim of this paper is to implement the mathematical model and simulations torque control of two bladed and three bladed wind turbine systems by changing power coefficient, tip speed ratio and pitch angle values for different wind speeds.To ensure an economically competitive wind power production, the trend is to increase the turbine size while at the same time minimize material usage. In this paper we have two cases are developed one for two bladed and another for the three bladed wind turbines and compare the simulation results of both cases. The two balade and three blade systems are mathmatically developed and implemented in matlab simulink.
PSO_PI Controller of Robotic Grinding Force Servo System
Authors: Attiya Adnan Jabbar , Wenyu Yang , Shneen Salam Waley
Published: September 2021

When an industrial robot is used to grind a curved surface ,as marine propeller surface, contact force and feed movement must controlled together at the similar time in order that the grinding tool would machine the work-piece, with  required  force, at  the  right  position  in  right  posture. A passive wrist system  is advanced, in  this  paper, to conform the shape of the machining propeller by altering its posture along with the surface. Grinding force is controlled under a simple new PSO-PI controller at a steady value in the normal direction of the mentioned machining point by multi-point machining, while the grinding tool moving along the curved surface of the propeller. It means that the model of the passive wrist system and the surroundings could be used in force controlling when robots grind marine propeller surface by a grinding tool with multi-point machining. PSO_PI controller  policy is being assembled and compared with a PI controller to obtain a controller that provides grinding with higher quality. The compared controllers have been optimized together with the parameters of the Two-Phase Hybrid Stepping Motor. The particle swarm optimization (PSO) method was selected from several methods to optimize of Proportional-Integral controller parameters in order to give better performance with improved step response for robotic grinding force servo system and overshoot are reduced. This control method was simulated using MATLAB/SIMULINK.
Security in Wireless sensor network: Approaches and Issues
Authors: Anwar Raja Waseem , Bakhtiari Majid , Zainal Anazida , Qureshi Kashif Naseer
Published: September 2021

Wireless sensor network is a tremendous emerging technology provides communication services for environmental monitoring and target tracking for mass public and military. With increasing of this smart network popularity sensor network faced various challenges and threats. The inclusion of wireless sensor nodes also incurs different types of security threats in network. Mostly networks are using shared key approaches to make less communication overhead, but still network compromise with replay impersonation and compromise attacks. The existing proposed schemes are not fully addressed other network resources such as energy and speed, etc.  The intent of this paper is to provide a comprehensive security requirement, detail about security attacks in network and discuss the existing security schemes.
3D Objects Retrieval using Geodesic Distance Based on Eikonal equation
Authors: Naji Driss , Fakir M. , Bencharef O.
Published: September 2021

Recently, shape-based matching and retrieval of 3D polygonal models has become one of the most fundamental problems in computer vision. Dealing with families of objects instead of a single one may impose further challenges on regular geometric algorithms. In this paper we focus on the classification of 3D objects based on their geodesic distance & path calculated on a mesh using an iterative algorithm for solving the Eikonal equation. For the classification process, we use both Multiclass Support Vector Machine (M-SVM) classifier,K-Nearest Neighbors (KNN), Decision Tree (DT) and Artificial Neural Networks (ANN) to better evaluate our descriptors. We illustrate the potential of extracted characteristics by two 3D benchmarks. The recognition rates achieved in all experiments show that a small number of curve between 9 and 12 can correctly categorize a family of 3D objects.
New Methods for Reducing the Problems of Photovoltaic Systems
Authors: Dorahaki Sobhan
Published: September 2021

Increasing of demand in the energy sphere and also unprecedented proliferation of environmental pollutants in the air has pushed human toward the using of renewable energy sources such as photovoltaic systems. Unfortunately, despite all the efforts made, in the field of photovoltaic systems, still the usability of this clean and renewable source is skeptical in the world. This paper examines some basic problems of photovoltaic systems and discusses a few new approaches to reduce some problems of photovoltaic systems. The proposed approaches have capabilities and difficulties which are investigated in this study.
Modeling and Analysis of Inductive Coil ELF Sensor
Authors: Aparnathi Rajendra , Dwivedi Vedvyas
Published: September 2021

Mathematical statistical analysis of inductive loop coil-sensor is carried out for its magnetic field effects operating on extremely low frequency (<30Hz). A system using resister, inductor, and capacitor effects finds resonance frequency for this loop sensor and its sensitivity as ferromagnetic effect. The design methods for these coils with air and ferromagnetic cores are technically compared and summarized, which are also known and used as search coils or pickup coils or magnetic loop coil sensors. The amplitude and bandwidth of the frequency components are compared to the standardized normal spectrum. This paper also presents the applications of coil sensor as magnetic coil.
A 45 nm 6 Bit Low Power Current Steering Digital to Analog Converter Using GDI Logic
Authors: Nagpara Bharat H.
Published: September 2021

 In this paper, The Design and Implementation low power Current Steering Digital to Analog Converter in 45 nm technology using GDI Logic using TANNER TOOL, V15 is presented. This architecture gives the most optimized results in terms of speed, resolution and power. The designed 6-bit DAC operates with two supply voltages, 1 V and 3.3 V. The simulation result shows the transient analysis waveforms of current Steering DAC. The average power dissipation is 364.06 μW. The tool used for simulation is Tanner S-Edit and T-Spice. Comparisons show that using GDI logic, it consists low power as compare to the CMOS logic.
ABC Based Design of PID Controller for Two Area Load Frequency Control with Nonlinearities
Authors: Elsisi M. , Soliman M. , Aboelela M. A. S. , Mansour W.
Published: September 2021

This paper presents an application of the Artificial Bee Colony (ABC) to optimize the parameters of Proportional-Integral-Derivative controller (PID) of nonlinear Load Frequency Controller (LFC) for a power system. A two area non reheat thermal system is equipped with PID controller. ABC is employed to search for optimal controller parameters to minimize the time domain objective function. The performance of the proposed technique has been evaluated with the performance of the conventional Ziegler Nichols (ZN) , Genetic Algorithm (GA) and Bacterial Foraging Optimization Algorithm (BFOA) in order to demonstrate the superior efficiency of the proposed ABC in tuning PID controller. By comparison with the conventional technique, GA and BFOA, the effectiveness of the proposed ABC is validated over different operating conditions, and system parameters variations.
X-band Band-pass Frequency Selective Surface for Radome Applications
Authors: Rahim Tariq , Xu Jiodong
Published: September 2021

A low profile multi layer miniaturized unit cell frequency selective surface (FSS) with second-order band-pass response is design. The metallic layers in the form of capacitive patches and inductive grids are separated by dielectric substrates. The non-resonant sub-wavelength unit cells with unit cell dimensions and periodicities on the order of 0.15λ. The overall thickness of approximately 0.03λ is designed which is useful at lower frequencies with long wavelengths. The FSS exhibit a stable frequency response to different angles of incidence and polarizations. The analysis and synthesis of the FSS is done using equivalent circuit method and simulated using CST microwave studio at X-band.
An Improved Immune Clone Selection Algorithm for Palm Bio-impedance Spectroscopy
Authors: LV LinTao , Yuan QinQin , Yang YuXiang
Published: September 2021

A kind of effective feature model of palm BIS data is presented according to the features of Palm bio-impedance spectroscopy (BIS) data. Based on immune clone algorithm and least squares method, an improved palm BIS feature selection algorithm is established,which can be applied to obtain the optimal feature subset that can be completely represented the palm BIS data, Finally, the algorithm is compared with other algorithms. The experimental results show that the accuracy of the feature subset obtained by the algorithm has reached 93.2 in SVM classification algorithm test.Therefore, the algorithm in this article is valid and reliable , which is of high theoretical and practical value.
Cost Analysis of Hybrid Restructuration for Distribution System to Improve Voltage and Minimize Losses
Authors: Flaih Firas M.F , Xiangning Lin , M. Dawoud Samir , R. Almallah Mohammed
Published: September 2021

Current situation in Iraq had led to extensive blackouts which needs an expansion in generation capacity. On the other hand the government has reduced the budget allocated for energy resource development and it seems this situation will sustain for the coming years.  So the fulfilment of the load demand is the biggest challenge for the ministry of electricity with limited budget. In this paper the authors have proposed a method to reduce the power losses and therefore improve the voltage profile for low voltage (LV) distribution system that results in reduction of blackouts. The method involves the repositioning of the distribution transformer (DTR) from the existing location and the replacement of the overhead conductor cross section area for an existing low voltage distribution system (LVDS). This method has been applied to a 20-node low voltage radial distribution network in the general directorate of north distribution electricity (GDNDE), Iraq, where voltage profile and losses are unsatisfactory. Results demonstrate the effectiveness of the proposed method also in terms of the economic feasibility. It is observed that the system average voltage profile is improved by 15%, tail end voltage enhanced by 19.7% and losses are reduced by 78% for existing the LVDS.
Application of Coupled Inductors for Reducing Switching Stresses in a Hybrid Power System
Authors: M Dharani , P Usha
Published: September 2021

This paper presents a novel methodology using coupled inductor for hybridizing multi input sources. A four port three input dc-dc converter is chosen, two photovoltaic sources and a storage medium are interfaced with the converter. The two sources can supply the load as well as charge the battery. Four independently controlled switches are employed to provide dc regulated output. The hybridization of the sources and converter is achieved by coupled inductors. The results show that the presence of coupled inductors increases the voltage gain and reduces the switching stress. The proposed system is verified and validated in MATLAB environment under various operating condition.
Harmonic Reduction in Multilevel Inverter Based on Super Capacitor as a Storage
Authors: Rasheed Mohammed , Omar Rosli , Sulaiman Marizan
Published: September 2021

Cascaded H-Bridge multilevel inverter has become more attractive to generate high power in an electrical distribution system. This paper discusses the control of five level cascaded H-bridge multilevel inverter with super capacitor as a Dc energy storage. The control of the multilevel inverter using PI and space vector pulse width modulation (SVPWM) controllers based on the modelling and Simulink of cascaded H-bridge can observe the effectiveness of the proposed control to reduce harmonic contents of the multilevel inverter output. High frequency ripple from the inverters can be removed from the system using low voltage filter. Total harmonic distortion (THD) for both current and voltage is quite low to meet the IEEE standard. Modelling of the system has been done using MATLAB/Simulink.
Alguns apontamentos feitos ao texto de Jesús Martín-Barbero “O que a pesquisa latino-americana de comunicação deve ao Brasil. Relato pessoal de uma experiência intercultural”
Authors: Lopes Maria Immacolata Vassallo de
Published: September 2021

O que se segue são breves anotações decorrentes da releitura de um texto de Jesús Martín-Barbero (JMB), originalmente apresentado em 1997, há 21 anos.
Metaevento: meios, redes e cidadãos na pandemia
Authors: Trejo Delarbre Raúl
Published: September 2021

A pandemia é planetária. Ela não tem uma data precisa de início, nem terá uma data de término. Não é um evento, mas um metaevento. A realidade do metaevento nos é imposta e promove inúmeras informações que passam por todo o ecossistema de comunicação. Este artigo discute as características do metaevento, bem como suas consequências na cobertura jornalística da mídia profissional, em sua intensa e contraditória propagação em redes sociodigitais e nas apropriações que as pessoas fazem dessa informação da qual somos receptores, mas também protagonistas.
Rumo a uma abordagem transnacional da televisão latino-americana: trajetórias, fronteiras e centros e periferias
Authors: Ribke Nahuel
Published: September 2021

O presente artigo propõe uma abordagem transnacional histórica com o objetivo de compreender os principais padrões e desafios na produção e consumo de conteúdos televisivos na região latino-americana. Em vez de focar em casos nacionais, como fazem a maioria dos estudos sobre o campo, gostaria de destacar aqui a circulação transnacional da televisão latino-americana por meio das trajetórias e passagens de produtores, empreendedores, conteúdos e tecnologias em toda a região, dos anos 1950 até os dias atuais. O resultante remapeamento da televisão latino-americana nos leva a considerar que os obstáculos e barreiras linguísticas e culturais afetam a circulação de conteúdos televisivos produzidos na região, bem como as consagradas assimetrias e hierarquias de poder entre os países da região.
O Cinema Estrutural e a Ruptura com o Cinema Institucional
Authors: Rimoli Frederico Franco
Published: September 2021

O presente trabalho busca, através de uma reflexão empírica, compreender como o cinema estrutural – vertente experimental da sétima arte – desenvolve um caráter anticapitalista a partir de suas peculiaridades estéticas. Para dar início a esse estudo, apresenta-se uma exposição teórica de como se comporta o cinema institucional, que não representa apenas o cinema clássico, mas toda a gama de produções cinematográficas com perfil narrativo. Em seguida, é necessário compreender a gênese do pensamento artístico que questiona o institucional: a teoria das vanguardas, inspirada por movimentos artísticos como futurismo, dadaísmo e expressionismo. Por fim, é apresentado o cinema estrutural a partir de suas manifestações teóricas e práticas, criando um breve entendimento da maneira como o estruturalismo cria sua crítica. As questões referentes são expostas com o objetivo principal de apresentar como um ramo cinematográfico não-narrativo pode configurar um ato de resistência por meio de suas características formais.
Lutas Periféricas na Pandemia
Authors: Sena Kessis
Published: September 2021

Conjunto de imagens realizadas durante os meses de junho e julho de 2020, retrato de parte de inúmeras lutas ocorridas desde o início da pandemia no Brasil visto a intensificação dos mecanismos da necropolítica contra o povo periférico.
De Novo Germline and Somatic Variants Convergently Promote Endothelial-to-Mesenchymal Transition in Simplex Brain Arteriovenous Malformation
Authors: Li Hao , Nam Yoonhee , Huo Ran , Fu Weilun , Jiang Biaobin , Zhou Qiuxia , Song Dong , Yang Yingxi , Jiao Yuming , Weng Jiancong , Yan Zihan , Di Lin , Li Jie , Wang Jie , Xu Hongyuan , Wang Shuo , Zhao Jizong , Wen Zilong , Wang Jiguang , Cao Yong
Published: September 2021

Rationale:

Brain arteriovenous malformations (bAVMs) are abnormal entanglement of blood vessels in brain, with direct connections from arteries to veins, lacking functional capillary bed. Although several somatic mutations were reported, the molecular mechanism and genetic disposition of bAVM remain poorly understood.

Objective:

We aim to identify transcriptional anomalies and critical functional pathways in bAVM lesions and explore their association with key de novo germline and somatic variants in bAVM patients.

Methods and Results:

We established a comprehensive bAVM dataset from 269 patients, by performing single-cell sequencing of 17 bAVM lesions, whole-exome sequencing of germline DNA from 60 case-unaffected-parental trios, and genomic/transcriptomic sequencing of 231 bAVM lesions. We found abnormal expression of endothelial and mesenchymal markers in bAVM at both bulk and single-cell level, which was validated by flow cytometric analysis and immunofluorescence staining, suggesting an involvement of endothelial-to-mesenchymal transition (EndMT) process in AVM (arteriovenous-malformation). Using data from the 60 trios, we identified nonsynonymous de novo germline mutations affecting 46 genes, including
EXPH5
(detected in 2 independent cases), and vessel-related genes, such as
EPAS1
and
ENG
. Interestingly, knockdown of
epas1
in zebrafish embryo showed AVM-like phenotype exclusively in brain. Subsequent computational and experimental analyses demonstrated that expression of genes affected by de novo germline mutations was enriched in vascular cell types and was involved in EndMT-relevant behaviors including cell migration, angiogenesis, and cell marker transition. Moreover, we detected somatic
KRAS
mutations in 129 of 179 (72%) cases and showed that
KRAS
mutations were associated with bleeding as the first symptom (
P
=0.0072). Following experimental studies demonstrated that
KRAS
mutations independently regulated EndMT features, consolidating the involvement of EndMT in this disease. Lastly, we showed that lovastatin reversed EndMT features in vitro and ex vivo.

Conclusions:

Our results suggest the convergent role of de novo germline mutations and somatic mutations in regulating EndMT in bAVM and provided a potential therapeutic option.