bluuebunny/crossref_metadata_2025 huggingface dataset:
Fatores causadores e estratégias terapêuticas para infertilidade em mulheres com síndrome dos ovários policísticos
Authors: Melo Joyce Milena Arrais de , Araújo Anna Beatriz de Almeida , Castro Júlia Vasconcellos , Oliveira Laís Pires Lima , Silva Maria Emilia Oliveira , Cruz Nayane Fernandes , Oliveira Renata Rodrigues de Souza , Valdez Gonzalo Cuba
Published: May 2022

O trabalho teve por objetivo apresentar, a partir de uma revisão de literatura, quais os mecanismos que causam infertilidade na Síndrome dos Ovários Policísticos (SOP), assim como identificar os possíveis tratamentos disponíveis. Sabe-se que a SOP é o distúrbio endócrino mais comum na idade fértil, o qual acomete até 10% das mulheres, apresentando alterações hormonais, reprodutivas e metabólicas. Sendo assim, para seu diagnóstico são necessários pelo menos dois critérios: oligo-ovulação ou anovulação, hiperandrogenismo clínico e/ou laboratorial e ovários policísticos identificados ao exame ultrassonográfico. De acordo com a avaliação clínica de cada paciente, têm-se entre as opções terapêuticas mudanças nos hábitos de vida como primeira escolha, por exemplo, prática de atividade física e alimentação saudável, além da terapia farmacológica, uso de hormônios, fertilização e cirurgia. Entretanto, alguns efeitos colaterais no tratamento ainda causam preocupação, como o risco de gestação múltipla, o que sinaliza a necessidade de mais estudos que promovam melhoria no prognóstico dessas mulheres.
Study of methods for obtaining unsaturated polyester resins based on recycled polyethylene terephthalate
Authors: KIRSHANOV K. A. , TOMS R. V. , GERVALD A. YU.
Published: May 2022

In this work, methods for obtaining unsaturated polyester resins based on the products of chemical recycling of post-consumer polyethylene terephthalate with various agents are compared. A process based on simultaneous glycolysis and interchain exchange of polyethylene terephthalate and oligoethylene phthalate with hydroxyl end groups has been proposed. The advantages of this process are shown, including rapid obtaining polyester resins of high molecular weight and the lesser influence of side reactions and degradation reactions. The unsaturated resin with a weight average molecular weight of 3100 g/mol was obtained.
First report of Panstrongylus geniculatus (Latreille, 1811) (Hemiptera: Reduviidae) in a cave in the state of Rondônia, Western Amazon, Brazil
Authors: Terassini Flávio Aparecido , de Oliveira Meneguetti Dionatas Ulises , de Oliveira Jader
Published: May 2022

The occurrence of Panstrongylus geniculatus in a cave in Porto Velho in the state Rondônia, Brazil is reported for the first time. A triatomine specimen collected in Sr. Rena cave, was found to be a female of Panstrongylus geniculatus.
Roles of the reaction boundary layer and long diffusion of stable reactive nitrogen species (RNS) in plasma-irradiated water as an oxidizing media — numerical simulation study
Authors: Ikuse Kazumasa , Hamaguchi Satoshi
Published: May 2022

The concentration distributions of chemically reactive species in water exposed to low-temperature atmospheric-pressure plasma (APP) have been studied with one-dimensional numerical simulations. Highly reactive species supplied from an APP to the water surface all react in the “reaction boundary layer,” i.e. a thin layer with a thickness of about 100 nm on the solution side of the interface, and are converted to stable species. This study quantitatively shows that, in the case of pure water irradiated by an APP, the simultaneous presence of H2O2, NO2
−, and O3 in the solution is the only cause to make it an oxidizing medium as they continuously produce ONOOH and HO3, which then decay to generate OH radicals in the solution bulk. ONOOH and its accompanying HO2NO2 have much longer diffusion lengths than HO3 and therefore their diffusion can also contribute to the oxidizing capability of the solution.
Analisis Pelaksanaan Asesmen Nasional Berbasis Komputer (ANBK) Di Madrasah Ibtidayah Negeri 9 Hulu Sungai Utara
Authors: Setiyowati Harlis , Suryati Enden , Rina Rina
Published: May 2022

Asesmen Nasional Berbasis Komputer (ANBK) merupakan program yang dirancang untuk menilai mutu tiap satuan pendidikan seperti Sekolah, Madrasah atau kesetaraan pada jenjang dasar dan menengah. ANBK pertama kali dilaksanakan pada Tahun 2021. Adapun tujuan artikel ini disusun  untuk menganalisis pelaksanaan ANBK di Madrasah Ibtidayah Negeri 9 Hulu Sungai Utara. Penelitian ini menggunakan metode kualitatif dengan teknik deskriptif. Penelitian ini masuk kedalam jenis phenomenological research. Hasil penelitian menunjukkan, ANBK di MIN 9 HSU dilaksanakan secara mendiri dan online. Pelaksanaan ANBK terbagi menjadi tiga tahapan, tahapan pra ANBK, tahapan pelaksanaan ANBK dan tahapan pasca ANBK. Tahap pra ANBK meliputi kegiatan, sosialisasi, pengelolaan personalia, pengelolaan perserta, pengelolaan sarana dan prasarana. Pelaksanaan ANBK di MIN 9 HSU secara keseluruhan telah sesuai dengan prosedur yang ditetapkan dan berjalan lancar  tanpa adanya kendala yang berarti karena MIN 9 HSU memiliki tim personalia yang mumpuni, sarana dan prasarana yang terfasilitasi serta melakukan pembinaan peserta dengan sangat baik, terkecuali sistem server pusat yang mengalami gangguan dihari kedua pelaksanaan. Kegiatan pasca ANBK pun telah dilaksanakan proktor dan teknisi sesuai dengan petunjuk teknis yang ditetapkan.
Simulation-based potential analysis of line-less assembly systems in the automotive industry
Authors: Rachner Jonas , Kaven Lea , Voet Florian , Göppert Amon , Schmitt Robert H.
Published: May 2022

Increasing product variety, shorter product life cycles, and the ongoing transition towards electro-mobility demand higher flexibility in automotive pro-duction. Especially in the final assembly, where most variant-dependent pro-cesses are happening, the currently predominant concept of flowing line assem-bly is already been pushed to its flexibility limits. Line-less assembly systems break up the rigid line structures by enabling higher routing and operational flex-ibility using individual product routes that are takt-time independent. Hybrid ap-proaches consider the combination of line and matrix-structured systems to in-crease flexibility while maintaining existing structures.
Such system changes require a high planning effort and investment costs. For a risk-minimized potential evaluation, discrete-event simulation is a promising tool. However, the challenge is to model the existing line assembly concept and line-less assembly for comparison.
In this work, a comprehensive scenario analysis based on real assembly sys-tem data is conducted to evaluate the potential of line-less assembly in the auto-motive industry. Within the simulation, an online scheduling algorithm for adap-tive routing and sequencing is used. Based on an automated experiment design, several system parameters are varied full-factorially and applied to different sys-tem configurations. Various scenarios considering worker capabilities, station failures, material availability, and product variants are simulated in a discrete-event simulation considering realistic assumptions. Results show that the throughput and utilization can be increased in the hybrid and line-less systems when assuming that the stations will have failures and the assumption of an un-changed order input.
Influence of AVC and HEVC compression on detection of vehicles through Faster R-CNN
Authors: Chan Pak Hung , Huggett Anthony , Souvalioti Georgina , Jennings Paul , Donzella Valentina
Published: May 2022

Situational awareness based on the data collected by the vehicle perception sensors (i.e. LiDAR, RADAR, camera and ultrasonic sensors) is key for achieving assisted and automated driving functions in a safe and reliable way. However, the data rates generated by the sensor suite are difficult to support over traditional wired data communication networks on the vehicle, hence there is an interest in techniques that reduce the amount of sensor data to be transmitted without losing key information or introducing unacceptable delays. These techniques must be analysed in combination with the consumer of the data, which will most likely be a machine learning algorithm based on deep neural networks (DNNs). In this paper we demonstrate that by compression tuning the DNNs (i.e. transfer learning by re-training with compressed data) the DNN average precision and recall can significantly improve when uncompressed and compressed data are transmitted. This improvement is achieved independently from the compression standard used for compression-training (we used AVC and HEVC), and also when training and transmitted data use the same compression standard or different compression standards. Furthermore, the performance of the DNNs is stable when transmitting data with increasing lossy compression rate, up to a compression ratio of approximately 1200:1; above this value the performance starts to degrade. This work paves the way for the use of compressed sensor data in assisted and automated driving in combination with the optimisation of compression- tuned DNNs.
Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to De-ployment
Authors: Mishra Sakshi , Frank Stephen M. , Petersen Anya , Buechler Robert , Slovensky Michelle
Published: May 2022

Electricity
load forecasting for buildings and campuses is becoming increasingly important
as the penetration of distributed energy resources (DERs) grows. Efficient
operation and dispatch of DERs require reasonably accurate predictions of
future energy consumption in order to conduct near-real-time optimized dispatch
of on-site generation and storage assets. Electric utilities have traditionally
performed load forecasting for load pockets spanning large geographic areas,
and therefore forecasting has not been a common practice by buildings and
campus operators. Given the growing trends of research and prototyping in the
grid-interactive efficient buildings domain, characteristics beyond simple
algorithm forecast accuracy are important in determining the algorithm’s true
utility for smart buildings. Other characteristics include the overall design
of the deployed architecture and the operational efficiency of the forecasting
system. In this work, we present a deep-learning-based load forecasting system
that predicts the building load at 1-hour intervals for 18 hours in the future.
We also discuss challenges associated with the real-time deployment of such
systems as well as the research opportunities presented by a fully functional
forecasting system that has been developed within the National Renewable Energy
Laboratory’s Intelligent Campus program.
Automated License Plate Recognition in Egyptian Environment: Lessons Learned
Authors: badawy wael , Tarek Rahma , Yousri Alaa
Published: May 2022

This paper presents the practical performance of automated license plat recognition for Egyptian license plates. It demonstrates the challenges in detecting and recognizing license plate based on the observation made over different cities. A set of real images is presented as part of the study.
Microwave Antenna Excitation Optimization with Deep Learning For Breast Cancer Hyperthermia
Authors: Altıntaş Gülşah , Yasar Halimcan , Uslu Ibrahim Enes , Demirel Yusuf , Akinci Mehmet Nuri , Yilmaz Tuba , Akduman Ibrahim
Published: May 2022

Microwave hyperthermia (MH) requires the effective calibration of the antenna excitations for selective focusing of the microwave energy to the target region with a nominal effect on the surrounding tissue. To this end, many different antenna calibration methods such as optimization techniques and lookup tables have been proposed in the literature. These optimization procedures, however, do not consider the whole nature of the electric field, which is a complex vector field, instead it is simplified to a real and scalar field component. Furthermore, most of the approaches in literature are system-specific, limiting the applicability of the proposed methods to specific configurations. In this paper, we propose an antenna excitation optimization scheme applicable to a variety of configurations and present the results of a Convolutional Neural Network (CNN) based approach for two different configurations. Data set for CNN training is collected by superposing the information obtained from individual antenna elements. The results of the CNN models outperform to look-up table results. The proposed approach is promising as the phase only optimization shows 27% and phase-power combined optimization shows 4% less hot spot-to-target energy ratio than look-up table results.
M-ary Aggregate Spread Pulse Modulation for robust and scalable low-power wireless networks
Authors: Nikitin Alexei , Davidchack Ruslan
Published: May 2022

This paper presents an overview of the M-ary Aggregate Spread Pulse Modulation (M-ASPM), and provides an assessment of its suitability and advantages for use in low-power wide-area networks (LPWANs). M-ASPM combines high energy-per-bit efficiency, robustness, resistance to interference, and a number of other favorable technical characteristics, with the spread-spectrum ability to maintain the network capacity while extending its range. Throughout the paper, LoRa is used for benchmark comparison and quantification of various M-ASPM features. In particular, we demonstrate that, while sharing many essential properties with LoRa, M-ASPM provides far more effective network range extension. When used in the same manner as LoRa, M-ASPM can serve as an appealing LoRa alternative. In addition, while being different LPWAN solutions, M-ASPM and LoRa can be designed to concurrently operate in the same spectral band and geographical area, cooperatively complementing each other’s coverage.
Cervical Pap smear is gold diagnostic tool for cervical cancer
Authors: Abd Ali Manal , Al Qzweni Aseel
Published: May 2022

One hundred (100) female patients referring to AL-Zahraa Teaching Hospital in ALNajaf Province who were suspected to harbor Cervical squamous intraepithelial lesions were included in this study. Cytological examination were performed for their Papsmeared and stained cervical cellular scrapes and according to their main cytological finding they were divided into three cytological groups: Cervicitis with Squamous intraepithelial lesions, Cervicitis without Squamous intraepithelial lesions and healthy group. A full history taking and clinical gynecological examination of all these (3) groups was performed. The following summarized results were found: 1-Cervicitis with SILs was 22% (HSILs 5%, LSILs 63% and Asc-us 32%),Cervicitis without SILs was 58% and 10% healthy patients. 2-The mean age of patients presented with cervical intraepithelial lesions was (44.23± 10.2)years. The highest percentage was diagnosed in the age stratum (36-50 ) years. 3- the clinical presentation of the patients with cervical neoplasia were indistinguishable from other cytological group, However, among many other finding related to the history and clinical examinations, early of marriage, multiparity, smoker behavior, abnormal vaginal bleeding were found significantly higher in cervical premalignant lesions than other cytological group.
Middle Ear Effusion in Intensive Care Unit Patients at Al-Sadder Teaching Hospital in Al-Najaf City-Iraq (A Prospective Randomized Comparative Clinical Study)
Authors: Hassoun Yasir
Published: May 2022

Background: Middle ear effusion (MEE) is one of the commonest chronic otological conditions in childhood but has a lower incidence in normal adult. By definition it is an accumulation of non-purulent fluid in the middle ear. It is an inflammatory effusion behind an intact tympanic membrane that is not associated with acute otological symptoms or systemic signs. Aim: To explore factors related to the occurrence of MEE in the intensive care unit (ICU) patients with prolonged oral endotracheal intubation in Al-Najaf city/Iraq. Methods: Forty patients (80 ears) with a prolonged endotracheal intubation (> 5 days) in the ICU were studied. Information of the age, gender, level of consciousness, duration of endotracheal intubation and placement of nasogastric tube were retrospectively collected from history and patient`s data. All patients were subjected to otoscopic examination, tympanometry studies and acoustic reflectometry for evidences of MEE. Results: Out of the 80 ears examined, 46 ears had MEE (57.5%), 22 ears were normal (27.5%), and 12 ears (15%) had negative pressure in the middle ear by tympanometry. Patients who were intubated for more than 11 days and those with conscious disturbance had a significantly high incidence of MEE. No episodes of acute otitis media or systemic infection were encountered. Conclusion: Prolonged endotracheal intubation (more than 11 days), age advancing and conscious disturbance contribute significantly to the occurrence of MEE in adult ICU patients. Recommendation: Middle ear pathology like MEE in the ICU patients with prolonged intubation should not be underestimated.
Significant role of Loss or Reduced BRCA1 gene expression in clinical implication of ovarian cancer
Authors: Al-Kashwan Thekra , Al-Bedairi Furgan , Al-Midhaffer Rihab
Published: May 2022

Background: BRCA1 immunohistochemistry (IHC) provides a rapid initial screen to detect BRCA1 dysfunction in ovarian cancer that resulting from genetic alterations. Aim: To assess the expression of BRCA1 protein by IHC analysis among a group of Iraqi ovarian cancer patients to evaluate the patterns of expression and its correlation with the clinicopathological parameters in attempting to evaluate a significance role of BRCA1 gene implication in ovarian cancer. Methods: Forty three paraffin embedded samples of ovarian cancer cases were analyzed for BRCA1dysfunction by IHC analysis. The semi-quantitative approach using modified histochemical score (H-score) was achieved to assess the patterns of BRCA1 gene expression. Results: Complete loss of BRCA1 nuclear expression was detected in 30.2% of the cases while, reduced expression occurred in 46.5% of cases, giving rise to 76.7% of all cases detected with altered BRCA1 nuclear expression. Altered BRCA1 expression was found to be higher in age group ≤ 45 years (78.3%) in comparison with those of ages >45 years. Altered BRCA1 expression was significantly correlated with the high grade and with the unilateral tumor site when compared with the low grade and bilateral tumor site (P≤0.05), and was insignificantly correlated with the high stage ovarian tumors, 11.6% of cases were detected by cytoplasmic BRCA1 expression and no association was found between cytoplasmic expression and tumor grade, stage and tumor site. Conclusion: Altered BRCA1 expression may play a significant role in the progression of ovarian cancer. Recommendation: BRCA1 IHC is a clinically useful approach to detect the BRCA1 dysfunction and the H-score assessment reflects good estimation for BRCA1expression patterns.
Umbilical Artery Flow Velocity in Pregnancy Induced Hypertension at Third Trimester
Authors: Al Esawi Riyadh , Edan Ban , Shukur Zaid
Published: May 2022

Background: Doppler ultrasound of umbilical vessels is a technique for evaluating fetoplacental blood flow which is very important in high risk pregnancies like hypertensive pregnancies and can predict both fetal and maternal morbidity and mortality. Since the traditional methods are not good enough to assess uteroplacental and fetoplacental circulation, blood flow studies are used to assess fetal well-being in normal and hypertensive pregnancies. Aim: To measure the blood flow indices of umbilical artery using Doppler ultrasound in patients with pregnancy induced hypertension (PIH) and healthy pregnant women. Methods: This is a case control study at which 60 participants, 40 with PIH and 20 with normal pregnancy at the third trimester were studied in Al Najaf Governorate. Doppler ultrasound of umbilical artery was performed for both, the patient and the control groups in which Resistive Index (RI), Pulsatility Index (PI) and Systolic to Diastolic ratio (S/D ratio) were calculated. Results: The mean ±SD of RI, PI and S/D of the umbilical artery were 0.63±0.11, 0.97± 0.33 and 2.9±1.38 respectively in the PIH group, they were higher than those of the control group (0.62±0.06, 0.91± 0.17 and 2.72 ± 0.41 respectively) at 33-36 weeks. However, differences were found to be insignificant as well as they were higher at 37-40 weeks. Conclusion: There are insignificant elevations of indices of the umbilical artery in PIH women with respect to those of normal pregnancy.
Role of Vitamin C Supplementation on Iron Overload and Oxidative Stress in Beta Thalassemia Major Patients in Maysan Province-Iraq
Authors: Hussien Jafar , Al-Katib Sami , Al-Zuhairy Salah
Published: May 2022

Background: Vitamin C is a well-known powerful water soluble antioxidant and very powerful iron absorption enhancer. It was used for a long period in the management of thalassemia major (TM) patients hoping to decrease the oxidative stress initiated by iron overload resulted from hemolysis of erythrocytes and frequent blood transfusions (BT). Iron overload from BTs may be exacerbated in patients due to increased absorption of iron from the diet in response to ineffective erythropoiesis or vitamin C supplementation. Aim: To evaluate the impact of vitamin C supplementation on the iron overload and oxidative stress in beta thalassemia major patients Methods: Fifty five children were investigated in this study. Thirty two of them were patients with TM on frequent BTs and oral chelating drug (deferasirox), they were diagnosed by hemoglobin electrophoresis with a mean age of 9±4.3 y. Patients were attendees of the Blood Disease and Thalassemia center in Maysan Province-Iraq in the period between November 2013 and November 2014. Twenty three apparently healthy children with a mean age of 8±3.2 y were included as a control group. Patients were subjected to vitamin C supplementation (200mg/day) for 2 months. Serum; vitamin C, iron, malondialdehyde (MDA), ferritin and UIBC and complete blood count were determined. Results: There were significant increases of serum iron (P<0.05) and ferritin (P<0.05) levels with insignificant increase of serum MDA levels in samples of patients before supplementation when compared with those of the control groups. However, a significant decrease in serum vitamin C levels (P<0.05) and serum UIBC values (P<0.05) were evident during a similar comparison. The results of second samples, in comparison with the results of first samples referred to a statistically significant increase in serum vitamin C and serum iron (P<0.05), non-significant increase in serum ferritin and MDA and non-significant decrease in UIBC. The complete blood count remained the same in both samples. Conclusion Vitamin C is a powerful enhancer of iron absorption from GIT and releaser from intracellular stores than antioxidant agent. Vitamin C must be given with caution and continuous supervision to TM patients. Recommendation: It is essential to study both smaller and larger doses than 200mg with a longer periods and expanded age groups.
Influence of Acquired Knowledge on Irrigation and Crop Management Technologies among Smallholders’ Farmers of Oluch-Kimira, Homa Bay County, Kenya
Authors: Abenga Basweti E. , Manono Makone S.
Published: May 2022

This article aims to determine the level of retained knowledge acquired through trainings on Irrigation and crop management technologies among smallholder farmers in Oluch-Kimira irrigation schemes, Kenya. Farmers were trained and a common knowledge test was administered after sometime for both irrigation participant and non-participant of irrigation technology. The result was analyzed descriptively and inferentially and the findings recorded. Descriptively the result indicated that, the mean score for irrigation participants (IRRP) was 74.5% and 53%t for non-irrigation participants (NIRRP). The result further indicated that the (IRRP) scored high in 17 statements than the (NIRRP) indicating that they had acquired higher knowledge than NIRRP. On the other hand the NIRRP scored high in statements 9 (Flooding can control pests in the field) and 15 (Intercropping beans with maize create unnecessary completion thus low yields) with a score of 54.3% for NIRRP against 44.7% for IRRP and 58.8% for NIRRP against 41.2% for IRRP respectively; whether this difference was significant or not it was determined by testing the hypothesis and concluded that, the difference in score for IRRP and NIRRP is significant. Hence we can infer that the training on irrigation and management technologies was effective.
Newton’s Theory of Light and Wave-Particle Duality
Authors: Buenker Robert J.
Published: May 2022

The long history of the dispute among physicists as to whether matter is composed of particles or waves is reviewed. A turning point came at the dawn of the 20th century in the form of the de Broglie momentum-wavelength and Bohr/Planck energy frequency relations. It was on this basis that Schrödinger developed a quantum mechanical differential equation whose solution came to be known as a wave function. The Born Interpretation of these functions holds that their absolute square constitutes a probability distribution which has been used successfully to make predictions of the properties of the system under discussion. It is pointed out that the phenomenon of light refraction played a key role in the development of both Newton’s corpuscular theory of light and the competing theory of Huygens which looks upon light as consisting exclusively of waves. It is shown that Newton’s failure to predict the decrease in the speed of light as it passes from air into water was not because of his belief in the particle composition of light, but rather because he not did anticipate that the mass of a photon changes upon entering a medium of higher index of refraction n. By assuming that the energy E of light is equal pc/n, where p is the momentum of the photons and c is the speed of light in free space, it is shown that the experimental dependence of the speed the light on its wavelength as it passes through a transparent medium is derived successfully through the use of Hamilton’s Canonical Equations and Newton’s Second Law of Kinetics. It is suggested that the relationship between particles and waves can be understood by noting that the localized properties of matter exhibit themselves in experiments such as the photoelectric effect where attention can be concentrated on the behavior of a single particle. The corresponding wave properties occur when large numbers of particles are observed under exactly similar circumstances, as for example in electron diffraction. ...........
Survey on Emotion Recognition System
Authors: Sowmiya S. , Miraclin Joyce Pamila J. C.
Published: May 2022

Humans are good at making millions of facial movements during conversation. In interpersonal relationships, the human emotion sensing system is vital. At an older age, automatic emotion recognition is a trendy research problem. Emotions are expressed through personas, hand and body gestures, and facial expressions. Emotion recognition via facial expressions is one of the most important fields in the human-machine interface. The strategy of recognizing emotions from facial expressions is known as facial expression analysis. Emotions are automatically perceived by the human brain, and software that can recognise emotions has recently been developed. This technology is constantly improving, and it will ultimately be able to sense emotions as accurately as human brains. The purpose of this work is to present a survey of emotion detection research using various machine learning techniques. It also summarises the benefits, drawbacks, and limitations of current approaches, as well as the concept's evolution in research.
Real Time Air Quality Evaluation Model using Machine Learning Approach
Authors: Arun G. , Rathi S.
Published: May 2022

In recent years, the world is being industrialized day-by-day which ultimately compels our concentration towards air quality. A gradual increase in population along with the raise in usage of vehicles and consumption of conventional energy leads to air pollution which subsequently accelerates the deterioration of air quality. And air pollution has its severe impact on human health. Many researchers have proposed various methodologies for predicting and forecasting the air quality. But it is rather important to predict the future air quality in order to reduce its impact. Therefore, this paper proposes an air quality evaluation system for future prediction. The current experiment includes three modules namely Preparation of Data, Forecasting AQI and Evaluating Air Quality. Data preparation is collecting real time data and formatting it as an input to next module. Sparse Spectrum GPR (SSGPR) is used in this study to forecast, whereas cloud model to evaluate air quality. The proposed model is capable of modelling the fuzziness and randomness. Finally, the entire model is evaluated using performance metrics like MAE, RSME and MAPE.
Building Estimation Prediction Using Machine Learning
Authors: Santhosh N. , Gopalakrishnan V. , Rajkumar D.
Published: May 2022

Nowdays, everybody hopes for a house that suits their way of life and gives conveniences as per their requirements. Building costs continue to change often which demonstrates that costs are frequently overstated. There are many elements that must be thought about at anticipating building costs, for example, area, number of rooms, cover region, how old the property is, and other fundamental neighborhood conveniences. In this paper, CatBoost algorithm alongside Robotic Process Automation are involved for continuous information extraction. Mechanical Process Automation includes the utilization of programming robots to robotize the assignments of information extraction while machine learning algorithm is utilized to anticipate building costs concerning the dataset. Machine Learning is firmly connected with insights, which focus on making forecasts with the help of PCs. There is an assortment of uses of Machine Learning, for example, sifting of messages, where it is challenging to foster a traditional calculation to successfully play out the errand. Machine Learning algorithms are absolutely founded on information, and are a high level rendition of the normal calculation. It makes programs "more intelligent" by permitting them to naturally gain from the information given by people. The algorithm is predominantly separated into two stages i.e., training stage and testing stage. Comprehensively there are three sorts of calculations that are fundamentally utilized on information such as, supervised, unsupervised and reinforcement learning algorithms.
DC-DC Converter Implementing Soft Switching Technique for AC Power Applications
Authors: Shobha R. , Suntrakanesh S. , Narmadhai N.
Published: May 2022

Global warming alerts the world to switch over to using Electric Vehicle (EV) and Hybrid Electric Vehicles (HEV). The Bidirectional DC-DC Converter (BDC) plays a significant role in controlling the energy flow for the Battery Ultra-capacitor Energy Storage System (BUESS) which is used for storing energy in EV or HEV. The bidirectional DC-DC converter (BDC) plays a vital role in controlling the energy flow for BUESS. The bidirectional DC-DC converter performs the step-up and step-down operation at zero voltage switching, as it operates in buck and boost modes. Due to the uncertain nature of renewable energy resources they pose to be not suitable for standalone applications as the only source of power. This problem can be overcome with the aid of batteries and supercapacitors for storing energy. Fast charging is done by a supercapacitor and slow discharging by a battery. A hysteresis control loop achieves the design of charging and discharging status. A BDC in addition to an inverter can be opted and is implemented in MATLAB/Simulink, and is used in AC power applications.
Automatic Load Frequency Control of Renewable Energy Integrated Hybrid Power System
Authors: Subham G. Tekeshwar , Ramachandran Rajeswari , Kandasamy Jeevitha , Muralidharan Reshma
Published: May 2022

Frequency aberration, power quality, and system instability may be caused by the general perception of Renewable Energy (RE). To control the frequency with the tolerable limit, load frequency control is being performed. Automatic Load Frequency Control (ALFC) must be provided with a proper controller. Ziegler-Nichols method is being used to tune the parameters of the Proportional-Integral-Derivative (PID) controller for Load Frequency Control of Hybrid Power System (HPS). Traditional PID controllers are capable of handling a larger varieties of rapid changes in load variations in renewable energy hybrid power systems. This work considers the HPS of 2000 MW power system including RE resources. The OP4510 is utilized for hardware-in-loop (HIL) simulation to test the accomplished controller's real-time applicability. The MATLAB simulation and the Real-Time simulator provide identical results.
Bridgeless Isolated CUK Converter Using BLDC Motor
Authors: Lokesh K. , Latha Mercy E. , Poovizhi D. , Indhumathi B.
Published: May 2022

The CUK topology is used to propose three novel rectifiers with single phase AC-DC Power Factor Correction (PFC) without a bridge. When compared to a standard CUK Power Factor Correction rectifier, the lack of enhanced heat control and reduced conduction losses are achieved by using the current flows; there are only two semiconductor switches and one input diode bridge channel throughout each period of the switching cycles. The proposed topologies are made to operate in the mode of discontinuous conduction, resulting in a deciding element of almost unity as well as low input current Harmonic Distortion in total. Additional benefits in Discontinuous Conduction Mode operating includes zero current is switched on in the power switches, and in the output diode, zero current is turned off, as well as simplified control circuitry. The power switch can be turned on or off.
Step Incremental Conductance MPPT for Solar PV System Based on Fuzzy Logic Controller
Authors: Siva Harshini , Balaraman Sujatha
Published: May 2022

Due to strong industrial expansion, the need for electrical power has increased in recent years. As more than just a by-product of this increased dependence on fossil fuels, resource depletion occurs, and renewable sources such as solar, wind, and wave energy sources have begun to operate as an electricity source and are now playing a key role. Solar energy has been widely used in power systems, particularly in the form of photovoltaic (PV) generating units. Control scheme is a technique for obtaining electricity from a solar photovoltaic system under changing environmental circumstances. The proposed research compares two control methods: incremental conductance algorithm and fuzzy logic, in order to maximise the efficiency of a solar PV system. The algorithms described above change the switching frequency of the power converter to monitor a solar PV array's global MPP. In MATLAB/Simulink, the simulation is run, and the performance is evaluated. The simulated findings imply that the fuzzy logic controller performs better than the incremental conductance technique.
DESGASTE DO ESMALTE INTERPROXIMAL NO TRATAMENTO ORTODÔNTICO: UMA REVISÃO DE LITERATURA.
Authors: Dos Passos Lacerda Jamille
Published: May 2022

Introdução: A técnica de redução interproximal do esmalte (RIE) é um meio de ganhar espaço como parte do tratamento ortodôntico abrangente. Após uma cuidadosa revisão da literatura, o artigo discute técnicas de redução de esmalte interproximal. Objetivos: Este artigo tem como objetivos traçar um histórico, indicações, contra-indicações, vantagens, desvantagens e precauções da redução do esmalte interproximal. Metodologia: Foram pesquisados no google acadêmico os unitermos “interproximal”, “desgaste”, esmalte”, “tratamento ortodôntico”. A pesquisa resultou em mais de trinta mil artigos publicados sobre o tema. Foram selecionados os 18 artigos com maior número de citações dentro do google acadêmico. Resultados: A técnica de redução interproximal do esmalte, quando usada corretamente para os casos certos, pode servir como uma forma eficaz de ganhar espaço durante o tratamento ortodôntico. Se a técnica for utilizada corretamente, não há evidências de que seja de alguma forma deletéria para os tecidos duros ou moles dentários.
OSSEOINTEGRAÇÃO DE IMPLANTES UNITITE: RELATO DE CASO
Authors: Dias Santiago Alef , Coelho Paraguassu Éber
Published: May 2022

A utilização de implantes estreitos Unitite é um assunto pouco discutido na literatura. Nos últimos anos, devido às melhorias tecnológicas, um maior interesse tem sido dado a estes sistemas de implantes. Atualmente tem sido lançado no mercado os implantes Unitite da SIN (Sistema de Implante Nacional), com novos conceitos de design e tratamento de superfície, que tem como finalidade acelerar a cicatrização e a osseointegração. O menor diâmetro pode implicar em uma menor estabilidade do implante ou, ainda, em uma menor resistência as forças laterais, e tais fenômenos poderiam implicar negativamente na osseointegracao. O objetivo deste trabalho é apresentar e discutir aspectos relativos a este assunto, utilizando como exemplo um caso clínico de um implante estreito (Slim, Unitite – SIN), com 2,9 mm de diâmetro e conexão cônica, foi instalado em uma área estética com pouco espaço vestíbulo-palatino na região do elemento 12. Após o período de 6 meses de acompanhamento o aspecto da área apresentava boa estética peri-implantar e aspectos clínicos compatíveis com saúde e normalidade. Dessa maneira, conclui-se, que a macro geometria favorece a estabilidade primária desse tipo de implante, e menor tempo em sua colocação, é importante ressaltar também que um bom planejamento, além da quantidade e qualidade óssea sejam adequadas. Além disso, normalmente, a literatura reporta poucas falhas para os implantes estreitos, pois apesar de existirem poucos estudos sobre implantes em áreas estéticas, com implantes de diâmetro menor do que 3 mm, através deste relato de caso, pode-se, observar que o desempenho clínico do implante se mostrou satisfatório, independente do gênero do paciente, faixa etária, localização e protocolo de carregamento protético.
ЭКОЛОГИЧЕСКИ ОРИЕНТИРОВАННЫЕ ИННОВАЦИИ КАК ФАКТОР УСТОЙЧИВОГО РАЗВИТИЯ ОБЩЕСТВЕННОГО ПРОИЗВОДСТВА
Authors: Саидов Заурбек Асланбекович , Шахгираев Исмаил Увайсович
Published: May 2022

В статье исследовано развитие экологической составляющей инновационных интересов как одновременно продукт цивилизационной эволюции общественного производства и движущая сила устойчивого развития. Приведена классификация основных факторов, формирующих экологическую составляющую традиционных предпринимательских интересов и способствующих внедрению экологических инноваций, связанных с технологиями и организацией производства. Обосновано, что экологическая компонента инновационных интересов субъектов хозяйствования является неотъемлемой составной частью позитивных изменений в развитии предпринимательства и имеет решающее значение в достижении устойчивого развития общественного производства.
«ЗЕЛЕНЫЕ» ТЕХНОЛОГИИ МЕНЕДЖМЕНТА В УСЛОВИЯХ РОСТА АНТРОПОГЕННОЙ НАГРУЗКИ
Authors: Федотова Гилян Васильевна , Койчуева Мэрим Тураровна , Карпенко Елена Михайловна
Published: May 2022

В работе изучены новые тренды бережливого природопользования, которые продиктованы необходимостью сохранения природных экосистем для будущего поколения. Поиск оптимального баланса обусловил появление проблемы рационального соотношения и регулирования процессов использования различных природных ресурсов в экономико-производственных отношениях и обеспечения экологической безопасности. В связи с этим в данном исследовании была поставлена цель сформировать и обосновать основные технологии «зеленого» менеджмента, направленные на сохранность биоразнообразия в условиях интенсификации антропогенной нагрузки на окружающую среду. Методологическая база исследования построена на теоретических положениях концепций циркулярной экономики, устойчивого развития территорий, продовольственной безопасности. Применены методы обобщения, статистического и экономического анализа. В результате проведенного исследования установлено, что «зеленые» технологии менеджмента состоят в сбалансированном регулировании многократного использования природных ресурсов при минимально возможных производственных затратах в системе производства качественных и конкурентоспособных товаров и услуг при соблюдении действующих экологических стандартов. Определены признаки перспективной многоаспектной управленческой структуры, направленной на поддержание оптимального сочетания продуктивных форм использования технологий производства при соблюдении условий минимально возможного оказания воздействия на природу.
APERFEIÇOAMENTO DA COORDENAÇÃO MOTORA DE CRIANÇAS POR MEIO DA RECREAÇÃO
Authors: Passos Ricardo Pablo , Vilela Junior Guanis de Barros , Martins Gustavo Celestino , Oliveira José Ricardo Lourenço de , Almeida Klebson da Silva , Pereira Adriano de Almeida , Carvalho Alexandre Freitas de , Martelli Anderson , Lima Bráulio Nascimento , Silio Luis Felipe , Rodrigues Marcelo Francisco , Maneschy Mariela de Santana , Guedes Uebister Igor Dos Santos , Fileni Carlos Henrique Prevital , Pádua Keylla dos Santos , Farias Aghata Cris Larrana de , Oliveira Suyane da Costa , Pinheiro Yasmin Mendes , Errero Adriana Pontes , Carvalho Anderson dos Santos , Abdalla Pedro Pugliesi
Published: May 2022

É possível visualizar que a Educação Física escolar está um pouco defasada, isso ocorre pela falta de materiais, infraestrutura, desmotivação dos alunos e até mesmo a falta de interesse do professor. Sabemos que a prática de atividade física moderada e vigorosa é muito importante para a saúde do ser humano e a ausência desta pode ocasionar nas pessoas (sociedade) diferentes tipos de doenças, como diabetes, colesterol alto, obesidade, hipertensão arterial alta e atraso no desenvolvimento motor, ou seja, a falta de proficiência nas habilidades motoras fundamentais. Diante desta situação, a recreação pode ser um meio eficiente para o aperfeiçoamento das habilidades motoras fundamentais. Objetivo: identificar os benefícios da recreação para o aperfeiçoamento da coordenação motora de crianças. Metodologia: o método do trabalho foi realizar uma revisão bibliográfica. Resultado: demonstram que a recreação pode aumentar a prática de atividade física, além de proporcionar vários benefícios para a saúde da criança. Também foi identificado que atividade recreativa é um excelente estimulo para a coordenação motora da criança. Conclusão: a recreação é um meio eficaz para despertar o interesse de diferentes práticas de atividade física nas crianças aumentando o seu nível de atividade física além de auxiliar no desenvolvimento motor e autonomia da criança.
SYNERGISTIC ANTIBACTERIAL EVALUATION OF TAGETES ERECTA SILVER NANOPARTICLES WITH COMMERCIAL ANTIBIOTICS
Authors: Vakkanti Venkata Sridevi  , K. Priyanka  , O. Swathi  , P. Soundarya
Published: May 2022

In the present study silver nanoparticles were synthesized using aqueous extract of fresh flowers of Tagetes erecta. The aqueous silver ions when exposed to fresh flower extract were reduced and resulted in green synthesis of silver nanoparticles. The synthesized silver nanoparticles were characterized by UV-visible spectroscopy, determination of zeta potential, FTIR, X-ray diffraction and SEM analysis. The UV spectrum of synthesized silver nanoparticles showed maximum absorbance at 430nm i.e. at a conc. of 1.5 ml of extract/10 ml silver nitrate solution. Different functional groups were identified by FTIR image, which contributed to antimicrobial activity. From SEM analysis crystalline nature of synthesized nanoparticles was evident. XRD peaks indicated the structure of nanoparticles and proved that nanoparticles are crystalline in nature. Zeta potential of synthesized nanoparticles was found to be -31.9mv which showed that the green synthesized nanoparticles are stable. Synergistic antimicrobial activity of selected concentration of the plant extract along with the antibiotics A(Penicillin) B(cefixime) showed more antibacterial activity against the selected gram positive and gram negative bacteria (Staphylococcus aureus, Klebsiella, Pneumonia, Escherichia coli, Bacillus subtilis.).Among different combinations the synergistic effect of penicillin is more with the synthesized silver nanoparticles against Klebsiella pneumoniae showing a zone of inhibition of 4.5 cm. The synergistic effect of cefixime is more with the synthesized silver nanoparticles against Bacillus subtilis showing a zone of inhibition of 3.5 cm.
KEYWORDS: nanoparticles, characterization, Synergy, antimicrobial activity
PECULIARITIES OF THYROID STATUS OF PRESCHOOL CHILDREN WITH ACUTE BRONCHITIS
Authors: Smiyan Oleksandr , Havrylenko Anastasiia , Loboda Andriy , Popov Sergey , Petrashenko Viktoriia , Smiian Kateryna , Aleksakhina Tatiana
Published: May 2022

The aim: The aim of this study was to determine the characteristics of thyroid status (thyroid hormone, total and free fractions of triiodothyronine and thyroxine, reversible triiodothyronine, antibodies to thyroperoxidase) of preschool children with acute bronchitis.
Materials and methods: We examined 135 preschool children (from 3 to 6 years old) with acute bronchitis (main group) and 28 apparently healthy subjects who were in the control group. It used clinical-anamnestic, laboratory and instrumental research methods. Evaluation of the course of acute bronchitis was carried out in the acute period of the disease. All results were statistically processed using the SPSS 26 package.
Results: In 33 % of patients with acute bronchitis there are subclinical abnormalities of thyroid hormones, which manifest themselves in the form of euthyroid sick syndrome. Namely, we found an increased concentration of reversible triiodothyronine in the serum, as well as a decrease in total triiodothyronine and its free fraction.
Conclusions: In patients with acute bronchitis in almost every third case there are functional shifts in hormonal status, which are manifested in the form of the first variant of the euthyroid sick syndrome.
KIDNEY DAMAGE IN PATIENTS AFTER ALLOGENEIC STEM CELL TRANSPLANTATION
Authors: Kępska-Dzilińska Małgorzata , Zhymaila Alena , Malyszko Jolanta
Published: May 2022

The aim of the review is to present the most common renal complications after HSCT such as acute kidney injury, chronic kidney disease glomerulopathies. HSCT is a critical therapy for many cancer patients with cancer, as well as patients with some other nonmalignant hematologic disorders and certain congenital immune deficiencies. Kidney complications after HSCT in a form of acute kidney injury is associated with significant morbidity and worse patient outcome. In addition, risk of chronic kidney disease is also increased following HSCT. It is very important to be aware, prevent, early recognize and treat renal damage to improve kidney and patient survival.
VALUE OF ULTRASONOGRAPHY METHOD IN THE DIAGNOSIS OF TEMPOROMANDIBULAR DISORDERS AND PATIENT MANAGEMENT MONITORING. CASE REPORT
Authors: Mykhailevych Marta Yu. , Telishevska Oksana D. , Telishevska Ulyana D. , Slobodian Roman V.
Published: May 2022

Value of ultrasonography method in the diagnosis of temporomandibular disorders and patient management monitoring is underestimated. Application of ultrasonography in the diagnosis of patients with temporomandibular disorders in many countries is limited. The main advantage and feature of the method is the ability to conduct examination in dynamics (during the function). Its safety and availability allow applying the method often and at different stages of diagnosis and treatment. So, ultrasonography fully satisfies the needs of primary diagnosing. MRI remains the recognized «gold standard» for the diagnosis of temporomandibular disorders. A case report which is presented, demonstrates the relevance and scope of diagnostic information obtained by ultrasonography, and their verification and clarification with the use of magnetic resonance imaging. Upon comparing the results of USG and MRI described in the clinical case report, we can conclude that ultrasound is quite sensitive and specific in diagnosing anterior disc displacement and blocked movement of the head of the mandible.