bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of analog-to-digital mixed integrated circuit configuration using number theory
Authors: Kobayashi Haruo , Kuwana Anna
Published: June 2022

Electronic circuits form the basis of much of the technology we use today. Professor Haruo Kobayashi and Assistant Professor Anna Kuwana, Division of Electronics and Informatics, Gunma University, Japan, are utilising classical mathematics, including theorems such as number theory and
control theory in their design of circuits that contain elements of analogue signalling. Analogue circuit planning is regarded as an art as these circuits are typically designed based on mature designers' intuition and experiences in a process that is less systematic for coming up with new
architectures and more designing than digital circuit design and Kobayashi and Kuwana firmly believe that 'beautiful' mathematics can facilitate truly great circuit design. Additional mathematics techniques employed by Kobayashi and the team are statistics, coding theory, modulation and signal
processing algorithms and pairing pure mathematics theorems with electrical engineering is a key feature of the researchers' work. The team utilises theoretical analysis and simulations such as the circuit simulator (SPICE) and system simulator (MATLAB) to test its work and collaborates with
semiconductor companies and electronic measurement instrument companies in Japan for smart circuit design and effective circuit testing. So far, results include that using SAR ADC configurations with Fibonacci sequence weights can improve the speeds and reliability of the SAR ADC. Also several
new DAC architecutures and waveform sampling methods are derived based on mathematics.
EFFICIENCY OF SUBTOTAL THYROID RESECTION AND QUALITY OF LIFE OF PATIENTS OPERATED ON DIFFUSE TOXIC GOITER
Authors: Makarov I. V. , Galkin R. A. , Andreyev M. M.
Published: June 2022

Results of surgical treatment and evaluation of the quality of life of 138 patients showed thatsubtotal resection of the thyroid gland is eﬀective to achieve optimal thyroid homeostasis. The 49.2 %of patients has the euthyroid state, at 21.7 % notes postoperative subclinical hypothyroidism doesnot require medical correction. The volume of the thyroid residue thus should be minimal, indicatingthe need for surgery by an experienced surgeon in a specialized surgical department. The authorssuppose that the implementation of thyroidectomy for diﬀuse toxic goiter does not always correspondto the basic principle of operation of the endocrine organs, according to which the surgery should besurgically radical and endocrine gentle.
GENDER AND AGE FEATURES OF THE FORMATION AND FLOW OF TYPE 2 DIABETES IN PATIENTS WITH NORMAL BODY MASS
Authors: Parzhaladze V. I.
Published: June 2022

It was examined the proportion of the group of patients with type 2 diabetes with normal bodyweight among hospitalized for one calendar year in endocrinology clinic. It was studied the gendercomposition of the group, the age of manifestation and features of the course of diabetes. This groupaccounted for 11.36 %, signiﬁcant gender diﬀerences in its composition have not been identiﬁed (men —43.5 %, women — 56.5 %). In most of patients (60.0 % men and 74.0 % women) the type 2 diabeteswas diagnosed in V–VI decades of life, but in the IV decade of the life it manifests more frequently inmen. A year after the detection of diabetes in insulin needed 5.1 % of patients, and a ﬁve year durationof the disease — 15.2 %. By this time, in 82.6 % of patients was formed the diabetic polyneuropathy,at 44.2 % was formed the retinopathy, at 57.7 % — the angiopathy of lower extremities (signiﬁcantlymore often in women).
FEATURES OF CLINICAL AND HORMONAL PARAMETERS AT WOMEN WITH REGULAR MENSTRUAL CYCLES AND POLYCYSTIC OVARIES
Authors: Arkhypkina Tetiana
Published: June 2022

It was a comparative analysis of clinical and hormonal parameters in women with normalmenstrual cycles and cystic degenerate ovaries, polycystic ovary syndrome (PCOS) patients andhealthy women. There were no significant differences in the content of testosterone, estradiol,dehydroepiandrosterone sulfate, 17-OH progesterone, prolactin and sex hormone binding globulinin the blood serum of healthy women and women with cystic degenerate ovaries. Indicators of antimullerian hormone in patients with cystic degenerate ovaries were significantly higher than in healthy,but lower than in patients with PCOS. As with PCOS levels of anti-mullerian hormone in women withovarian degenerate cystic positively correlated with ovarian volume, the number of antral follicles andthe level of luteinizing hormone. It is suggested that cystic degenerate ovaries are not normal, butrather — a milder phenotype of PCOS.
THE CASE OF SYNDROME OF ADRENOCORTICOTROPIC HORMONE ECTOPIC PRODUCTION ON THE BASIC OF CANCER OF THE RIGHT LUNG BRONCHUS
Authors: Pryvalov V. A. , Sergiyko S. V. , Tyulganova V. L. , Sokolova L. V.
Published: June 2022

This article describes a rare case of the syndrome of adrenocorticotropic hormone ectopic pro-duction diagnosed during lifetime and caused by mid-lobe bronchus cancer. The clinical manifestationoccurred 4 months before death. Is unusually heavy, galloping course of the disease with the presenceof multiple metastases, progressive hypercorticoidism, severe sympathetic-adrenal crises, and sharplyexpressed hypopotassium.
STATE OF THROMBOCYTE-COAGULATION HEMOSTASIS IN RATS UNDER INFLUENCE OF METABOLITES OF SUCCINIC ACID DERIVATIVES
Authors: Palagina I. A. , Kudrya M. Ya.
Published: June 2022

It was found that metabolites of the ﬁrst phase of biotransformation of anti-diabetic agent —succinc acid derivative act on the various links in thrombocyte and coagulation hemostasis. The2-hydroxyphenilsuccinamide (2-HPSA) under subchronic administration causes the inhibition of theﬁbrin forming that may be a sign of anticoagulant activity of the compound. Another metabolite —β-phenylethylsuccinamide (β-PESA) is able to enhance aggregation of thrombocytes and increase thepotential for blood coagulation. Both metabolites inﬂuence the out-vascular blood clotting mechanism.Detected activity manifestations 2-HPSA and β-PESA hemostatic eﬀects may deﬁne the hemostasialeﬀects of the drug with the anti-coagulation properties.
THE EFFECT OF LIPOFLAVON ® ON BLOOD GLUCOSE LEVEL AND VASCULAR DYSFUNCTION IN DIABETIC RATS
Authors: Klymenko K. I. , Zelenskiy D. S. , Soloviev A. I.
Published: June 2022

In an experiment in rats with streptozotocin-induced diabetic found that long intraperitoneal administration of a Lipoflavon®at a concentration of 1.4 mg/kg (in the recalculation on the active ingredient Quercetin) leads to a decrease in blood glucose levels, contributes to increase the total effluent K+-current to isolated smooth muscle cells, as well as normalization of endothelium-dependent vasodilation of isolated aortic ring segments. At the same time Lipoflavon®eliminates oscillations of vascular tone in diabetic animals and has a positive effect on Ca2+ — sensitization of myofilaments.
ASSESSMENT OF PHYSICAL ACTIVITY IN HEALTHY AND DIABETIC CHILDREN AND ADOLESCENTS (review and own results)
Authors: Morozov A. V. , Budreyko E. A.
Published: June 2022

In the review of the literature carried out the analysis of modern methods for assessing levels of physical activity (PhA) and the results of their assessments in patients with chronic illnesses, including diabetes. It was presented the data their own research with a comparative assessment of the results of applying different forms to determine the level of PhA in children and adolescents with type 1 diabetes. It was shown that a survey is sufficiently objective way to assess PhA in illness children. However, the using of PAQ - A, PAQ - C, IPAQ questionnaires allows objectively estimate only moderate PhA with rather large errors in the evaluation of low and high level PhA. At the same time, the using of the authors modified questionnaire allows objectively estimate medium, low as well as high levels of PhA. It gives grounds to recommend the authors questionnaire for pediatric endocrinologists, pediatricians, physical therapy and other specialists.
Характеристическая функция самоподобного случайного процесса
Authors: Коверда В.П. , Скоков В.Н.
Published: June 2022

A stochastic differential equation is proposed for a characteristic function whose inverse function describes a self-similar random process with a power-law behavior of power spectra in a wide frequency range and a power-law amplitude distribution function. Gaussian “tails” for the characteristic distribution make it possible to evaluate its stability according to the formulas of classical statistics using the maximum of the Gibbs-Shannon entropy and, therefore, the stability of a random process given by an inverse function.
Определение потенциала взаимодействия ион-твердое тело из спектров обратнорассеянных частиц
Authors: Бабенко П.Ю. , Зиновьев А.Н. , Михайлов В.С. , Тенсин Д.С. , Шергин А.П.
Published: June 2022

For the first time, the values of the atomic particle-solid body potential were obtained from experimental data on the energy spectra and angular dependences of backscattered particles. The proposed procedure for determining the potential has not previously been applied. It is shown that the obtained data do not depend on the potential approximation used. The interaction potential between an ion and a solid differs markedly from the potential describing collisions in the gas phase. The screening constant increases by 10-15%. The increase in screening is due to an increase in the density of the electron gas in the region between the incident particle and the scattering center.
Изучение порошкообразных образцов LiFePO-=SUB=-4-=/SUB=- дифракционными рентгеновскими методами с применением искусственных нейронных сетей
Authors: Бойко М.Е. , Шарков М.Д. , Бойко А.М. , Бобыль А.В. , Николаев В.И.
Published: June 2022

A set of LiFePO4 samples has been explored with the help of small-angle x-ray scattering (SAXS). Using the technique of artificial neural networks the shape of SAXS curves has been rebuilt considering the hardware function. The estimations of homogeneities sizes and shapes in the studied LiFePO4 samples have been obtained.
Динамика деформационных полос, инициированных ударом индентора о поверхность алюминий-магниевого сплава
Authors: Шибков А.А. , Золотов А.Е. , Денисов А.А. , Гасанов М.Ф.
Published: June 2022

The dynamics of macrolocalized deformation bands generated by the impact of a Vickers indenter on the surface of an AlMg6 aluminum-magnesium alloy deformed under creep conditions was studied by high-speed video recording and acoustic emission methods. It has been established that these bands are the trigger for the development of a macroscopic jump in plastic deformation on the creep curve. It is shown that in alloys exhibiting the Portevin-Le Chatelier effect, it is necessary to take into account the initiation and propagation of deformation macrobands during surface erosion damage and to estimate the volume and morphology of the plastic zone during impact microindentation of a deformable alloy.
Percutaneous nephrolitholapaxy performed under ultrasound and endovisual guidance: evaluation of the factors affecting the immediate outcomes
Authors: Atduev V. A. , Abramov D. V. , Dyrdik M. B. , Danilov A. A. , Ledyaev D. S. , Gasrataliev V. E. , Stroganov A. B.
Published: June 2022

Introduction. In recent years, ultrasound and endovisual guidance have been introduced into clinical practice when performing percutaneous nephrolitholapaxy.Objective. To identify the most significant factors that influence the frequency of complete elimination of stones and the development of complications in percutaneous nephrolitholapaxy performed under ultrasound and endovisual guidance.Materials and methods. We analyzed the results of the treatment of 515 kidney stone patients who underwent percutaneous nephrolitholapaxy under ultrasound navigation and endovideoscopic guidance using a new method developed by us.Results. The average duration of the operation was 77.2 ± 1.9 min. Most of the operations were performed through one puncture access (95.1%) and in one stage (91.8%) with complete stone elimination in 80.6% of the cases. The degree of decrease in hemoglobin in the postoperative period was only 12.18 ± 0.6 g/l. The frequency of postoperative complications was 29.3%, in most cases there were 1 - 2 severity grades according to Clavien-Dindo. As a result of multivariate regression analysis, independent predictors influencing the frequency of complete stone eradication were the number of stones (p = 0.012), the fact of the presence of staghorn stone (p = 0.016), the number of stages of surgical intervention (p = 0.001). Correlation analysis revealed a statistically significant negative correlation between body mass index and the occurrence of complications (p = 0.005), a positive correlation between the presence of urinary tract infection and the occurrence of complications (p = 0.048), a positive correlation between the grade of blood loss and the occurrence of expectation (р < 0.001).Conclusions. Percutaneous nephrolitholapaxy under ultrasound and endovisual guidance without the use of X-rays is an effective intervention for most patients with kidney stones. Complete stone eradication depends on the number of stones, the presence of staghorn stone, and the number of stages of surgery. The incidence of complications is significantly affected by the body mass index, the presence of urinary infection and the degree of decrease in hemoglobin during surgery.
Urological anomalies in OHVIRA syndrome (Herlyn-Werner-Wunderlich syndrome)
Authors: Lodeikina K. , Kagantsov I. M. , Karavaeva S. A. , Kokhreidze N. A.
Published: June 2022

We provide a systematic review of articles related to OHVIRA syndrome (Herlyn-Werner-Wunderlich syndrome), found in PubMed/MedLine, Web of Science, Scopus, Scirus, The Cochrane Library and eLIBRARy to show how the urological component of this congenital malformation, previously considered as a concomitant anomaly, has become an important diagnostic marker. Several attempts were made to classify this condition, and they got more complex to include these variants of abnormalities of the kidney and ureter that were found due to advances in imaging technology. As a result, the understanding of the medical community about the OHVIRA syndrome has gradually changed over the past hundred years, and the growing interest of pediatric urologists and surgeons, in turn, has contributed to the early diagnosis of the syndrome and the improvement of examination methods.
Combination of CAKUT-syndrome and axial skeletal abnormalities
Authors: Kaplunova O. A. , Chaplygina E. V. , Batiushin M. M. , Sukhanova O. P. , Blinov I. M. , Stefanova E. D. , Batiushina A. M.
Published: June 2022

Combined anomalies of the urinary system and axial skeleton, including an L-shaped kidney, obstruction of the ureteropelvic junction (CAKUT syndrome, congenital anomalies of the kidney and urinary tract syndrome) and spinal anomalies, are extremely rare. The clinical case gives a description of a similar combined developmental anomaly.
Comparative analysis of the results of standard and minipercutaneous nephrolithotripsy for staghorn stones
Authors: Guliev B. G. , Komyakov B. K. , Talyshinskiy A. E. , Stetsik E. O. , Verdiev N. D.
Published: June 2022

Introduction. There are conflicting data in the literature on the results of mini-percutaneous nephrolithotripsy (PCNL) in staghorn stones.Objective. To compare the results of standard and mini-PCNL.Materials and methods. The results of PCNL in 90 patients with staghorn stones were analyzed, which were divided into two groups. In the I group, 58 (64.4%) patients underwent standard PNL with a nephroscope 24 Fr, in the II group, 32 (35.6%) patients underwent mini-PCNL with an endoscope 15 Fr. The operative time and the number of postoperative complications were compared. To assess the effectiveness of PCNL, an overview radiography or native computed tomography was performed. The operation was considered successful with residual fragments less than 3 mm.Results. Operative time, number of complications and blood transfusions, the effectiveness of PCNL in groups I and II were 80.0 ± 20.6 and 96.5 ± 25.0 min, 24.1% and 15.6%, 10.3% and 3.1%, 86.2% and 84.4%. Additional interventions were resorted to in 7 (12.1%) patients in I group, and in 4 (12.5%) patients in II group. Complications in I and II groups were observed in 14 (24.1%) and 5 (15.6%) cases. The frequency of blood transfusions was significantly higher after standard PCNL (10.3% / 3.1%, p < 0.05). Complications of grade III with mini-PCNL, replacement of an incorrectly installed stent was included in 2 patients, and with standard PCNL, ureteral stenting with urine leakage through the nephrostomic tract in 2 patients, drainage of the pleural cavity in one case.Conclusion. Standard PCNL is an effective method in staghorn stones, but the number of complications after it remains higher. In selected patients with staghorn stones, the results of mini-PCNL are comparable to those of standard PCNL.
Comparative assessment of the learning curve of retropubic, laparoscopic, perineal, and robot-assisted radical prostatectomy
Authors: Ryabov M. A. , Kotov S. V.
Published: June 2022

Introduction. The learning curve (LC) of radical prostatectomy (RP) is an actual problem in contemporary urology.Objective. To assess the LC of retropubic (rpRP), perineal (plRP), laparoscopic (LRP), and robot-assisted radical prostatectomy (RARP).Materials and methods. The study included 400 patients with localized or locally advanced prostate cancer (T1cT3bN0M0) who underwent rpRP, plRP, LRP or RARP performed by a single surgeon. Exclusion criteria: refusal of surgical treatment, metastatic prostate cancer, primary multiple cancer, neoadjuvant hormonal, radiation or chemotherapy.Results. Progressive improvement of metric indicators was noted in all groups as the surgical technique was mastered. Maximum rates of reaching the plateau of satisfactory functional and early oncological results were demonstrated in the RARP group after 25 – 50 procedures. In terms of the duration of the surgery, the LRP group showed the longest mastering period of 75 – 100 cases. Regression of blood loss volume requires 50 – 75 procedures in the rpRP and LRP groups, and 25 – 50 approaches in the rpRP and RARP groups. RARP demonstrates advantages in the context of minimization of catheterization time and inpatient period (25 – 50 cases). rpRP is not only associated with a maximum amount (n = 30) and frequency (21,0%) of complications, but also with a relatively long period of reaching a plateau of 50 – 75 cases. The stabilization of functional results is proceeding at the maximum pace in the RARP group at 25 – 50 procedures, in the other groups at 50 – 75 cases. Oncological safety (positive surgical margin) in the LRP, rpRP and RARP groups is achievable after 25 – 50 cases, in the rpRP group at 50 – 75 cases.Conclusion. The period of RP mastering depends on surgical approaches. RARP demonstrates the shortest LC duration.
Morphological changes in testicles of patients with idiopathic infertility after novel coronavirus infection (COVID-19)
Authors: Todorov S. S. , Ibishev Kh. S. , Vasilyev O. N. , Prokop J. O.
Published: June 2022

Introduction. SARS-CoV-2 causes several negative processes in the body and complicates the course of chronic somatic diseases, causing dysfunction and having a negative effect on many organs and systems of the body, including organs of the reproductive system.Objective. To study morphological changes in testicles of patients who have undergone a new coronavirus infection.Materials and methods. Objects of morphological research were testicular tissues obtained by intraoperative biopsy under intravenous anesthesia served. Material sampling was carried out in 12 patients aged 25–29 years with idiopathic infertility who underwent COVID-19. Patients showed ultrasound signs of fibrosis in the testicles, which were absent before infection with SARS-CoV-2. The biopsy was performed 12 months after COVID-19.Results. In all observations, changes were observed that are characteristic of the inflammatory process, nonbacterial autoimmune genesis. Histio-lymphocytic infiltration of testicular tissue with destruction of single tubules and parenchyma atrophy, combined with varying degrees of sclerosis, was verified.Conclusion. In testicular biopsy specimens from patients who have undergone COVID-19, an autoimmune inflammatory process is recorded, manifested by lymphocytic infiltration of testicular tissue, which was combined with varying degrees of sclerosis.
The Role of Depressive Symptoms and Physical Activity Levels in Mediating the Association Between HIV Status and Neurocognitive Functions Among Individuals Aged at Least 50 Years in China: Cross-sectional Study
Authors: Qin Pei , He Jianmei , Yang Xue , Chen Siyu , Chen Xi , Jiang Hui , Fung Ada Wai Tung , Wang Zixin , Lau Joseph Tak Fai
Published: June 2022

Background

Neurocognitive impairments are prevalent among older people in China. It is more problematic among older people living with HIV.

Objective

This study aims to compare neurocognitive performance between older people living with HIV and HIV-negative controls, and to explore whether the association between HIV status and neurocognitive performance was mediated by depressive symptoms and level of physical activity.

Methods

A cross-sectional study was conducted in Yongzhou, China. All people living with HIV aged ≥50 years listed in the registry were invited. Frequency matching was used to sample HIV-negative controls from the general population according to the distribution of age, sex, and years of formal education of older people living with HIV. A total of 315 older people living with HIV and 350 HIV-negative controls completed the face-to-face interview and comprehensive neuropsychological assessment of seven domains (learning, memory, working memory, verbal fluency, processing speed, executive function, and motor skills).

Results

As compared to HIV-negative controls, older people living with HIV performed worse in global score and all seven domains (P<.05). HIV infection was associated with higher depressive symptoms (P<.001) and lower level of physical activity (P<.001). Depressive symptoms and physical activity were negatively correlated (P<.001). Depressive symptoms and level of physical activity mediated the association between HIV status and global z-score and four domain z-scores of neurocognitive performance (learning, memory, verbal fluency, and processing speed).

Conclusions

Change in mental health and physical activity after HIV infection may partially explain why older people living with HIV are more susceptible to neurocognitive impairment. Promoting mental health and physical activity are potential entry points to slow down the progress of neurocognitive impairment among older people living with HIV.
Cyber Bullying Text Detection Using Machine Learning
Authors: Reddy A. Varsha
Published: June 2022

Abstract: With the upward thrust of the Internet, using social media has exploded, and it's emerged because the most powerful networking platform of the ordinal century. However, exaggerated social networking oftentimes has negative consequences for society, causative to some unwanted phenomena at the side of online abuse, harassment, cyberbullying, cybercrime, and trolling. Cyberbullying causes severe mental and physical distress in several people, particularly ladies and children, and might even cause suicide damaging social impact of online harassment attracts attention. Several incidences of online harassment, equivalent to sharing personal chats, spreading rumours, and creating sexual remarks, have recently occurred everywhere on the planet. As a result, specialists are paying nearer interest to detect bullying the big texts or messages on social media. By combining natural language processing and machine learning the aim of this observation is to create and construct a powerful method for detecting online abusive and bullying texts. The accuracy stage of six different machine learning techniques is evaluated the usage by of extraordinary features, particularly the count vectorizer
A Review Paper on Solar Energy-Generated Electricity
Authors: Patil Akash
Published: June 2022

Abstract: Solar energy, which is generated by sunlight, is a non-depleting renewable energy source that is also environmentally benign. Enough sunshine energy hits the globe every hour to meet the world's annual energy requirement. We needed electricity every hour in today's generation. This Solar Energy is used for a variety of purposes, including industrial, commercial, and domestic. It is simple to obtain energy from direct sunshine. As a result, it is incredibly effective and does not pollute the environment. We reviewed Solar Energy from Sunlight in this post and evaluated its future trends and characteristics. The page also aims to discuss how solar panels function and the different types of solar panels, as well as the various applications and strategies for promoting the benefits of solar energy.
Design & Implementation of Advanced Fire Controller- PRAKASH
Authors: Dhar Palasri
Published: June 2022

Abstract: This paper is the implementation of the fire alarm security system using ARDUINO, digital flame sensor and gas sensor. Flame and infrared light sources with wavelengths ranging from 760 nm to 1100 nm can be detected by the flame sensor. The gas detector detects the concentration of flammable gas present around its placed atmosphere. This gadget is a modern household solution from gas leakages as well as incidents of explosion of cylinders or any emergency situation due to unobserved fire. The objective of this project is to contribute towards the safety of human life or saving a human from firehazards.
Performance Analysis of Stand-Alone PV System Using Single Voltage Sensor Based MPPT Method
Authors: Tejaswini V.
Published: June 2022

Abstract: In this article, a SEPIC converter is taken into consideration because it can function as both a step-up and step-down converter; as a result, it will expand the voltage range over which PV systems can function.This topology has a number of benefits, including an output polarity that does not invert an easy-to-drive switch, and low current ripple at the input.A single voltage-sensor-based maximum power point tracking (MPPT) technique with a voltage reference control technique using a PI controller has been considered for the SEPIC converter.As a result, the Maximum Power Point Tracking (MPPT) technique with Voltage Reference Control (VRCT) combined with the Association of PI Controller can effectively improve the performance of the PV system.A step change in irradiance is used to test the performance of the proposed MPPT algorithm in conjunction with the PI controller.Matlab/Simulink can be used to implement the proposed work.
Monitoring and Prevention of Child Abuse Using IoT
Authors: Chitra Mrs. P
Published: June 2022

Abstract: The word future has a similar meaning to the word children. Today's children are tomorrow's youngsters, and it is vital to preserve their dreams and lives for the future, as Dr. A.P.J. Abdul Kalam said, "Youngsters are the future pillars of one's nation." As a result, every parent should look after their own children. Without allowing them to descend into the abyss of abuse. In today's age of digital technology and global computing, everyone is connected to one another in a variety of ways. In today's global computing environment, child and female harassment, chain snatchings, kidnappings, sexual harassments, eve teasing, and other forms of abuse are on the rise, making people feel more scared and powerless.
Recent Progress in Aerodynamics for Aeroelastic Analysis
Authors: Anil Mary , Varkey Deepa
Published: June 2022

Abstract: Aerodynamics has gained considerable popularity in the aerospace industry. Based on the characteristics of a structure, aerodynamic behavior varies from structure to structure. A reliable aeroelastic analysis requires accurate capture of aerodynamic forces. To produce accurate aerodynamic loads, it is necessary to develop an appropriate aerodynamic model. A review of various approaches to aerodynamic modeling for aeroelastic analysis of diverse wing configurations is presented in this paper. The study covers a wide range of finite element software platforms used in the aeroelastic analysis in various flow regimes.
Long Range Spy Robot Using Internet of Things
Authors: Akthar Md. Shoaib
Published: June 2022

Abstract: A robot is usually an electro-mechanical machine that guided by computer and electronic programming. Many robots have been built for manufacturing purpose and can be found in factories around the world. Now a days many illegal activities like crossing borders through forest regions, planting landmines, etc to keep an eye on such activities there is a need for some spying device that can spy on the restricted areas or some forest or territorial region where a human cannot go due to risk. Designing of the latest robot which can be controlling using an android mobile In developing the remote buttons in the android app can be control the robot motion. The proposed project Long Range Spy Robot using internet of things allows operating a robot irrespective of the distance of the person operating it. This robot is capable of capturing the video and move according to the commands given by operator. The live video can be seen on any device mobile or laptop remotely.For this project we used IoT technology which make use of internet. The robot is controlled by mobile phone installed with blynk app using esp8266 Wi-Fi module. Live video is seen using Esp32 cam module on any device with IP address of esp32 module. This Robot has its own Wi-Fi dongle which uses 4G network, ESP8266 and ESP32 cam module connect to this network. So this robot is enabled with own 4G internet can be controlled anywhere in the world for a truly long distance
Multi-Lesion Segmentation of Diabetic Retinopathy Using Deep Learning
Authors: Swetha R.
Published: June 2022

Abstract: Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) are the two major complications of diabetes and have a significant impact on working individuals of the world population. DR doesn’t give any early symptoms. Therefore, it is important to diagnose DR at an early stage. The two above mentioned diseases usually depend on the presence and areas of lesions in fundus images. The four main related lesions include soft exudates, hard exudates,microaneurysms, and haemorrhages. Since lesions in retinal fundus images are a pivotal indicator of DR, analyzing retinal fundus images is the most popular method for DR screening. The examination of fundus images is time-consuming and small lesions are hard to observe. Therefore, adopting deep learning techniques for lesion segmentation is of great importance. In this project, we use one of the deep learning techniques called U-Net, which is a variant of Convolutional Neural Networks (CNN) for multiple lesion segmentation.
Toxic Comments Classification
Authors: Reddy Neha
Published: June 2022

Abstract: Conversational toxicity is a problem that might drive people to cease truly expressing themselves and seeking out other people's opinions out of fear of being attacked or harassed. The purpose of this research is to employ natural language processing (NLP) techniques to detect toxicity in writing, which might be used to alert people before transmitting potentially toxic informational messages. Natural language processing (NLP) is a part of machine learning that enables computers to comprehend natural language. Understanding, analysing, manipulating, and maybe producing human data language with the help of a machine are all possibilities. Natural Language Processing (NLP) is a type of artificial intelligence that allows machines to understand and interpret human language instead of simply reading it. Machines can understand written or spoken text and execute tasks such as speech recognition, sentiment analysis, text classification, and automatic text summarization using natural language processing (NLP).
Image Captioning Generator Using CNN and LSTM
Authors: Kumar M. Pranay
Published: June 2022

Abstract: The project's goal is to come up with a caption for an image. Photograph captioning is the process of making a description for an image. It necessitates an understanding of the important things, their characteristics, and the relationships between them.an image's objects Deep learning techniques have progressed, and as a result, we can create models that can predict the future thanks to the availability of large datasets and computing power. Create captions for a picture This is what we've done in Python-based research in which we applied CNN's deep learning algorithm (Convolutional Neural Networks) and LSTM (Long Short-Term Memory) are two types of neural networks. Combining different types of RNNs (Recurrent Neural Networks) so that computer vision can be used A computer can recognize the context of a picture and present it in the appropriate context
Analysis of Principle Behind the Stability, Self-Revolution and Orbital Formation of Planets around the Sun
Authors: Ravikumar Dr Hemachandran
Published: June 2022

Abstract: There are lots of moving parts in the Universe, as nothing exists in isolation. There are trillions of large masses in our Solar System, all orbiting around the galactic centre on timescales of hundreds of millions of years. In this paper, I present the idea of the Existence of the force of attraction by the Sun due to its constituents. Same as that, the debris of the sun due to the big bang may also possess some characteristics of the sun since all these objects possess similar origins. This means “Every object possesses a force of attraction that has the tendency to attract every other object of the universe but this tendency is limited to a certain extent based upon the constituent, size and distance between the object”. This force of attraction is exhibited in multiple axis by every object. It altogether results in the formation of a closed-circuit form of connection between every object present inside this cluster of objects in space. The same principle applies to the galactic centre of the universe also. This force of attraction is responsible for the stability, Self revolution and orbital revolution of planets around the sun.
An Intelligent TLDR Software for Summarization
Authors: Rokkam Krishna Vamsi
Published: June 2022

Abstract: The amount of textual data available from diverse resources is increasing dramatically in the substantial data age. This textual volume has a wealth of information and expertise that must be skilfully summarised in order to be useful. Because billions of articles are published every day, it takes a long time to look through and keep up with all of the information available. Much of this text material has to be reduced to shorter, focused summaries that capture the most important aspects, both so we can explore it more efficiently and to ensure that the bigger papers include the information we need. Because manual text summarising is a time-consuming and typically difficult activity, automating it is expanding in popularity and thus provides an ideal impetus for academic study. The growing availability of documents has necessitated much study in the field of natural language processing (NLP) for automatic text summarization. "Is there any software that can assist us digest the facts more efficiently and in less time?" is the genuine question. As a result, the major goal of the summarization system is to extract the most important information from the data and deliver it to the consumers. In NLP, summarization is the act of condensing text information in huge texts to make it easier to understand and consume. We suggest a solution by developing a text summary programme that uses Natural Language Processing and accepts an input (plain text or text scrapped from a website). The output is the outlined text. Natural language processing, along with machine learning, makes it easier to condense large quantities of information into a coherent and fluent summary that only incorporates the article's most important points.
Music Player Using Facial Expression
Authors: Srinivas Dr. M.
Published: June 2022

Abstract: In the day to day life of a human and in the technologies that is emerging, music is incredibly significant. Conventionally, it is the work of a user to search for a song manually from the list of songs in a music player. Here, an efficient and accurate model is introduced to generate a playlist on the basis of users present emotional state and behaviour. Existing methods for automated playlist building are computationally inefficient, inaccurate, and can involve the usage of additional gear such as EEG or sensors. Speech is the most primitive and natural form of communicating feelings, emotions, and mood, and its processing is computationally intensive, time-consuming, and expensive. This suggested system uses real-time face emotion extraction as well as audio feature extraction.
Food Delivery Android Application
Authors: Karnala Siri Srujana
Published: June 2022

Abstract: A food delivery application that consists of modules for the chef, the customer, and the delivery person will be developed by us. It is an software with elements consisting of a sign-in page, registration chores with to be had meals items, details about the chef and the delivery driver, to add dishes to the cart and the status of deliveries. All of these features are made by us, and the code is written in a variety of languages, such as Java, XML, and Kotlin. We utilise Google's cloud platform Firebase for our backend work. A set of comprehensive development tools are featured in a software development kit (SDK). These help you develop your application efficiently.. Android Studio is the name of Google's official Integrated Development Environment (IDE) for building Android applications. The User Interface (UI) layouts for this app are achieved using Extensible Markup Language (XML).
Survival Rate Prediction Post Thoracic Surgery
Authors: Meghana Tentu
Published: June 2022

Abstract: In order to improve quality initiatives, healthcare administration, and consumer education, it is critical to track health outcomes. The data obtained from patients who had large lung resections for primary lung cancer is referred to as thoracic surgery. Attribute ranking and selection are critical components of successful health outcome prediction when using machine learning algorithms. Researchers used several procedures, such as early-stage examinations, to determine the type of cancer before symptoms appeared. The most relevant attributes are identified using attribute ranking and selection, and the duplicated and unnecessary attributes are removed from the dataset. The goal of our study is to look at patient mortality over the course of a year after surgery. More precisely, we're looking into the patients' underlying health issues, which could be apowerful predictor of surgical-related mortality.
Energy trilemma as an assessment tool for national energy systems on the example of the Republic of Armenia
Authors: Davtyan Vahe S. , Khachikyan Silva R.
Published: June 2022

According to the UN Sustainable Development Agenda which replaced the Millennium Development Goals (MDGs) and includes components of social, economic, and environmental development, ensuring access to affordable, reliable, sustainable and modern energy sources is the seventh global goal in the system of seventeen interrelated goals developed by the UNGA in 2015. The goal implies operation and development of environmentally friendly national energy systems that will contribute to socio-economic development. To assess the dynamics and development trends of global energy systems, the methods of their quantitative assessment become particularly relevant. In this aspect, the most important tool for assessing the sustainability of global energy is the energy trilemma index developed by WEC and «Oliver Wyman Group» consulting company. The index is a comprehensive assessment of the economic, social, and environmental components of the UN sustainable development program. It allows countries to be quantified by their ability to ensure energy security, energy equity and the environmental sustainability of national energy systems, considering socio-economic and political changes. The paper presents the main methodology for calculating the energy trilemma index and its role in assessing sustainable and safe energy. In 2021, there were changes in the methodology of calculating the index, so it became possible only to compare the dynamics of changes of key components. Based on the indicators of 2021, the main trends in the global energy system are presented. The mechanism of the index components’ influence on the formation of a country’s rating is illustrated. A special attention is given to the analysis of the indicators of energy trilemma index for the Republic of Armenia in 2021, considering the main challenges of the Armenian energy sector and the consequences of the Forty-Four Day War in 2020. The dynamics of main components of energy trilemma index of Armenia is shown through the analysis of the conjuncture and the main development trends of the country’s energy system. The practical significance of the index for shaping the state policy for the energy sector development is emphasized as well.
Turkmenistan WTO accession issues
Authors: Habyyeva Aysoltan
Published: June 2022

The aim and main objectives of this article are determined by the urgency of issue in intensifying country’s integration efforts into the global economy in the context of Turkmenistan’s accession to the WTO. The aim of this article is to develop proposals that may be used in negotiations by the country’s delegation on terms of Turkmenistan’s accession to the global trade organization. The article proves the necessity of taking into account the specificity of transition economies when evaluating and discussing their concessions and obligations they will accept upon WTO accession. The most important elements and key issues in negotiating to be considered by the delegation of Turkmenistan are identified. The paper demonstrates that building or reforming the institutional framework and mechanisms to implement the WTO Agreements will require more public and private investments. At the same time, the long-term strategic benefits and advantages of WTO membership will outweigh the adaptation costs. The latter will be short term if well-designed, balanced, gradual and good economic policy is developed. The article emphasizes the critical importance of conducting a well-developed and well-designed social and economic policy that will be the basis and factor contributing to reducing corruption risks and overcoming corruption in public sector. This paper concludes by providing recommendations. It shows that the country should have the benefit of an extended transition period under which the national trade rules and regulatory regimes must be totally reconsidered to reflect the WTO rules and regulations. Also, the country should be granted: firstly, certain exceptions to WTO rules and agreements; secondly, special and differential treatment; thirdly, special waivers of the application of “WTO-plus” obligations and “WTO-minus” provisions.
The role of technology in the art market in the COVID-19 period
Authors: Reshethikova Marina S. , Islacheva Raziat A. , Tapchieva Polina I.
Published: June 2022

The art market, like many other industries, has experienced a challenging and transformative period since early 2020 as the COVID-19 pandemic has created new unforeseen needs for galleries and auction houses. Along with the challenges it presented, the crisis has also created many opportunities for restructuring and innovation in the industry as organizations have been forced to look for new ways of working because the traditional format has become unacceptable, and this has required new methods and technologies. The market, driven by external circumstances, moved online as businesses closed and events were canceled, and dealers were forced to rethink their business models to adapt to the new economic realities, which, for many, involved the deployment or significant intensification of digital strategies in to support sales and communications. Therefore, the purpose of the study is to determine the impact of innovative technologies on the world’s largest auction houses. To better understand the impact of innovative technologies on the financial performance of the auction houses Christie’s, Sotheby’s and Phillips, econometric models were built to identify the presence or absence of a relationship between auction profits and such a qualitative factor as the format of the auctions. Based on the econometric analysis, it can be concluded that in the period 2019-2021, the importance of online auctions and, as a result, other technologies necessary to support their activities has increased. This growth is due to factors such as the forced transition to an online format due to security measures and the fight against COVID-19 and an increasing level of confidence on the part of market participants.
Russia and the Netherlands: Trade cooperation within the global value chains framework
Authors: Sorokina Ekaterina M.
Published: June 2022

Russia and the Netherlands are crucial trading partners for each other and those countries have enduring trade history, during which there were both periods of “cooling” and “thawing” in trade and investment. Against the background of a global decline in trade and FDI flows, the issue of global production and global value chains (GVCs) cooperation, in particular Russian-Dutch cooperation, is becoming more relevant. Thus, this study aims to determine current trends and features of trade cooperation between Russia and the Netherlands using the decomposition of gross value added (VA) flows, since the analysis of trade in terms of GVCs allows one to more accurately determine the directions and structure of international trade. This issue becomes especially urgent in context of the international production fragmentation slowing down since GVCs, among other things, more accurately illustrate trade and production ties and the interdependence of the world’s economies. The article will consider the general characteristics of trade relations between Russia and the Netherlands in terms of gross trade indicators, determine the place of Russia and the Netherlands in the ranking of their trading partners, show the dynamics of trade and FDI, and also identify the main areas of cooperation between Russia and the Netherlands within the GVC framework with the help of sectoral analysis of VA trade. As a result of the analysis, the author comes to the conclusion that Russia and the Netherlands, firstly, are involved to varying degrees in GVCs, secondly, they participate in opposite directions within GVC flows, which is why they do not equally benefit from participation in global production, thirdly, mutual trade within the framework of the GVC is “one-sided” and unbalanced, and, fourthly, the export and industrial production of the Netherlands relies on Russian intermediate goods in a bigger extent than Russian exporting industries relies on the Dutch once.