bluuebunny/crossref_metadata_2025 huggingface dataset:
In-hospital Mortality and the Predictive Ability of the Modified Early Warning Score in Ghana: Single-Center, Retrospective Study
Authors: Abbey Enoch Joseph , Mammen Jennifer S R , Soghoian Samara E , Cadorette Maureen A F , Ariyo Promise
Published: July 2021

Background

The modified early warning score (MEWS) is an objective measure of illness severity that promotes early recognition of clinical deterioration in critically ill patients. Its primary use is to facilitate faster intervention or increase the level of care. Despite its adoption in some African countries, MEWS is not standard of care in Ghana. In order to facilitate the use of such a tool, we assessed whether MEWS, or a combination of the more limited data that are routinely collected in current clinical practice, can be used predict to mortality among critically ill inpatients at the Korle-Bu Teaching Hospital in Accra, Ghana.

Objective

The aim of this study was to identify the predictive ability of MEWS for medical inpatients at risk of mortality and its comparability to a measure combining routinely measured physiologic parameters (limited MEWS [LMEWS]).

Methods

We conducted a retrospective study of medical inpatients, aged ≥13 years and admitted to the Korle-Bu Teaching Hospital from January 2017 to March 2019. Routine vital signs at 48 hours post admission were coded to obtain LMEWS values. The level of consciousness was imputed from medical records and combined with LMEWS to obtain the full MEWS value. A predictive model comparing mortality among patients with a significant MEWS value or LMEWS ≥4 versus a nonsignificant MEWS value or LMEWS <4 was designed using multiple logistic regression and internally validated for predictive accuracy, using the receiver operating characteristic (ROC) curve.

Results

A total of 112 patients were included in the study. The adjusted odds of death comparing patients with a significant MEWS to patients with a nonsignificant MEWS was 6.33 (95% CI 1.96-20.48). Similarly, the adjusted odds of death comparing patients with a significant versus nonsignificant LMEWS value was 8.22 (95% CI 2.45-27.56). The ROC curve for each analysis had a C-statistic of 0.83 and 0.84, respectively.

Conclusions

LMEWS is a good predictor of mortality and comparable to MEWS. Adoption of LMEWS can be implemented now using currently available data to identify medical inpatients at risk of death in order to improve care.
Virtual Reality Tour to Reduce Perioperative Anxiety in an Operating Setting Before Anesthesia: Randomized Clinical Trial
Authors: Vogt Lina , Klasen Martin , Rossaint Rolf , Goeretz Ute , Ebus Peter , Sopka Sasa
Published: July 2021

Background

Perioperative anxiety is a major burden to patients undergoing surgeries with general anesthesia.

Objective

This study investigated whether a virtual operating room tour (VORT) before surgery can be used to ameliorate perioperative anxiety.

Methods

We employed a randomized parallel-group design with 2 study arms to compare VORT to the standard operation preparation procedure. The study included 84 patients. A validated inventory (state-trait operation anxiety-state) was used to assess perioperative state anxiety before (T1) and after (T2) surgery. In addition, trait operation anxiety was evaluated with an additional validated inventory (state-trait operation anxiety-trait). Moreover, user ratings on the usefulness of VORT were assessed with an evaluation questionnaire. Study arms were compared for perioperative state anxiety with two-tailed independent samples t tests. Subjective ratings were correlated with STOA-Trait values to investigate possible associations between perioperative anxiety with perceived usefulness.

Results

There were no significant differences in perioperative state anxiety between VORT and standard operation preparation procedures before and after the surgery. Nonetheless, patients’ ratings of VORT overall were positive. The tour was perceived as useful and, therefore, showed acceptance for VR use. These ratings were unrelated to the degree of perioperative anxiety.

Conclusions

The subjective benefit of VORT could not be explained by a reduction of perioperative anxiety. Instead, VORT appears to serve the need for information and reduce uncertainty. In addition, VORT is perceived as beneficial regardless of the age of the patients. Considering this effect and the manageable organizational and financial effort toward implementation, the general use of VORT can be recommended.

Trial Registration

ClinicalTrials.gov NCT04579354; https://clinicaltrials.gov/ct2/show/NCT04579354
Copyright as a Barrier to Music Therapy Telehealth Interventions: Qualitative Interview Study
Authors: Reid Amanda , Kresovich Alex
Published: July 2021

Background

Music therapy is a multifaceted discipline that harnesses the power of music to treat a wide range of patient populations. A therapist who plays music in a private room for a patient is not subject to copyright restrictions on public performances. However, in the wake of the COVID-19 pandemic, music therapy is no longer strictly confined to the face-to-face setting. This study explores music therapists’ perceptions of copyright law with respect to their ability to provide mediated services to their clients.

Objective

The objectives of our study were two-fold. The first was to investigate whether concerns about copyright law are hampering the diffusion of telehealth innovations, and the second was whether these concerns are causing music therapists to avoid therapeutically beneficial telehealth interventions.

Methods

Semistructured interviews were conducted with credentialed music therapists (n=18) in the United States between May 2020 and June 2020. With participants’ consent, we used video conference technology to record and transcribe the in-depth interviews. The median interview length was 45 (SD 16.37) minutes. This theoretically informed study employed thematic analysis of the interview data.

Results

The COVID-19 pandemic accelerated the adoption of telehealth interventions to facilitate therapy outside of private face-to-face environments: environments where music therapy practices are largely shielded from copyright infringement concerns. Five main themes emerged, including therapists’ uncertainty about permissible uses of music and therapists’ erring on the side of caution causing lost opportunities for care. Our interview data suggest music therapists have altered telehealth interventions in suboptimal ways to avoid copyright liability in a physically distanced environment.

Conclusions

Some music therapists “drag their feet” on offering therapeutically appropriate telehealth services to clients because of copyright concerns. Our findings suggest innovative mediated therapies were shied away from or abandoned. These findings offer a novel contribution to the public health literature by highlighting copyright law as an unexpected and unwelcome barrier to the diffusion of music therapy practices in technology-mediated settings.
Peer Review of “In-hospital Mortality and the Predictive Ability of the Modified Early Warning Score in Ghana: Single-Center, Retrospective Study” (Preprint)
Authors: Marusic Ana
Published: July 2021

UNSTRUCTURED

This is a peer review report.
Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study (Preprint)
Authors: Óskarsdóttir María , Islind Anna Sigridur , August Elias , Arnardóttir Erna Sif , Patou François , Maier Anja M
Published: July 2021

BACKGROUND

The gold standard measurement for recording sleep is polysomnography performed in a hospital environment for 1 night. This requires individuals to sleep with a device and several sensors attached to their face, scalp, and body, which is both cumbersome and expensive. Self-trackers, such as wearable sensors (eg, smartwatch) and nearable sensors (eg, sleep mattress), can measure a broad range of physiological parameters related to free-living sleep conditions; however, the optimal duration of such a self-tracker measurement is not known. For such free-living sleep studies with actigraphy, 3 to 14 days of data collection are typically used.

OBJECTIVE

The primary goal of this study is to investigate if 3 to 14 days of sleep data collection is sufficient while using self-trackers. The secondary goal is to investigate whether there is a relationship among sleep quality, physical activity, and heart rate. Specifically, we study whether individuals who exhibit similar activity can be clustered together and to what extent the sleep patterns of individuals in relation to seasonality vary.

METHODS

Data on sleep, physical activity, and heart rate were collected over 6 months from 54 individuals aged 52 to 86 years. The Withings Aura sleep mattress (nearable; Withings Inc) and Withings Steel HR smartwatch (wearable; Withings Inc) were used. At the individual level, we investigated the consistency of various physical activities and sleep metrics over different time spans to illustrate how sensor data from self-trackers can be used to illuminate trends. We used exploratory data analysis and unsupervised machine learning at both the cohort and individual levels.

RESULTS

Significant variability in standard metrics of sleep quality was found between different periods throughout the study. We showed specifically that to obtain more robust individual assessments of sleep and physical activity patterns through self-trackers, an evaluation period of >3 to 14 days is necessary. In addition, we found seasonal patterns in sleep data related to the changing of the clock for daylight saving time.

CONCLUSIONS

We demonstrate that >2 months’ worth of self-tracking data are needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3 to 14 days for sleep quality assessment and call for the rethinking of standards when collecting data for research purposes. Seasonal patterns and daylight saving time clock change are also important aspects that need to be taken into consideration when choosing a period for collecting data and designing studies on sleep. Furthermore, we suggest using self-trackers (wearable and nearable ones) to support longer-term evaluations of sleep and physical activity for research purposes and, possibly, clinical purposes in the future.
Development of Banana Peel Powder as Organic Carrier based Bioformulation and Determination of its Plant Growth Promoting Efficacy in Rice Cr100g
Authors: Raj R.S. David Paul , Preethy H. Agnes , Rex K. Gilbert Ross
Published: July 2021

Agriculture is the primary source of income for more than 50 % of the Indian population and the current challenge in the agricultural industry is the increased crop production with sustainable agricultural practices from the shrinking cropland area. Plant Growth Promoting Rhizobacteria (PGPR) has been used as a bio inoculants for increasing the crop yield and the effectiveness of PGPR as biofertilizers majorly depends on the selection of the best carrier material, proper formulation of microorganisms and mode of delivery of the formulation. So, the present study investigates the effect of PGPR bacterial strains isolated from the Siruvani forest region, Coimbatore, Tamil Nadu. We have tested the efficacy of these PGPR strains using both in vitro seed germination assay and in vivo pot culture studies in CR100G rice seeds. We have used the banana peel powder (Patent No: 202041010982) as a novel organic carrier material for the development of bioformulation, along with talc as an inorganic carrier material to perform the in vivo study. The results showed that the rice plants treated with banana peel powder based bioformulation gives the highest shoot length (15.78 cm) when compared to the control (10.48 cm) on the 14th day, 21st and 45th day of seed seeding. The grain yield also increased in the Non-Enriched Banana Single (NEBS) bacterium group (125%) when normalized with the control. Thus, our current study suggests that Banana peel powder could be the better approach to be used as an organic carrier material for the development of Biofertilizers in future.
Shooting Simulator «Inhibitor»: Ballistics Software for 5.45 Caliber Weapons
Authors: Egorov S F , Vdovin A Yu , Shelkovnikov Yu K
Published: July 2021

Описывается программное обеспечение поддержки расчета внешней баллистики для оружия калибра 5,45 мм с учетом внешних факторов тактического тренажера оптико-электронного для стрелкового оружия «Ингибитор», разработанного в Институте механики УдмФИЦ УрО РАН и на кафедре «Вычислительная техника» ИжГТУ имени М. Т. Калашникова совместно с АО «Концерн «Калашников». Приводится тактико-техническое задание для баллистического расчета траектории до 2 км дальности имитаторов оружия с лазерным излучателем точки прицеливания с учетом внешних факторов: положения прицельной планки всех видов прицелов, температуры и давления воздуха, которые оказывают существенное влияние на сопротивление воздуха. Реализованная дифференциальная математическая модель внешней баллистики, опираясь на угол прицеливания имитатора оружия, начальную скорость и баллистический коэффициент боеприпаса в реальном времени, строит баллистическую траекторию с поправками на температуру и давление воздуха. Приводятся результаты испытаний программного обеспечения на погрешность расчета координат баллистической траектории. Сделан вывод о перспективности дальнейших исследований и разработке электронных стрелковых тренажеров благодаря совершенствованию и удешевлению элементной базы и развитию программных библиотек с целью повышения точности имитации внешней баллистики тренажеров с учетом многих внешних факторов, расширения функциональных возможностей и снижения себестоимости и, значит, повышения конкурентоспособности.
Application of Artificial Neural Network Group to Control Induction Soldering of Spacecraft Waveguides
Authors: Milov A V , Tynchenko V S , Kurashkin S O
Published: July 2021

В данной статье рассматривается разработка интеллектуальной технологии, предназначенной для решения задачи управления процессом индукционной пайки волноводных трактов космических аппаратов. Решение данной задачи осложняется особенностями, обусловленными использованием бесконтактных датчиков измерения температуры. Интеллектуальные методы хорошо себя зарекомендовали при решении задач управления в условиях неопределенности. Использование интеллектуальных методов хорошо подходит как для решения задач идентификации и коррекции погрешностей средств измерения, так и для непосредственного управления технологическим процессом индукционной пайки волноводных трактов космических летательных аппаратов. Суть предлагаемой технологии заключается в применении коллектива искусственных нейронных сетей для решения задачи управления процессом индукционной пайки на следующих его этапах: оценка качества измерений температуры в зоне нагрева, получаемых при помощи пирометрических датчиков; коррекция измерений в случае обнаружения ненормативных погрешностей в измерительных средствах; управление процессом индукционного нагрева при отсутствии надежных показаний измерительных средств. В статье описываются структуры искусственных нейронных сетей, предлагаемые для решения поставленных задач управления, блок-схема алгоритма интеллектуального управления, а также результаты экспериментальных исследований эффективности применения предложенного подхода. Использование представленной интеллектуальной технологии позволит повысить качество управления процессом индукционной пайки волноводных трактов космических аппаратов.
Application of Methods of Fuzzy Logic and Neural Networks for Automation of Technological Processes in Oil and Gas Engineering and Increasing the Efficiency of Oil Production
Authors: Sagdatullin A M
Published: July 2021

В данной работе рассматривается вопрос повышения эффективности функционирования насосных систем, как наиболее энергоемкой части нефтегазового месторождения. Обоснована актуальность темы исследования для нефтегазового машиностроения, сформулирована основная цель исследования, заключающаяся в цифровизации рассматриваемых процессов и создании отечественных систем автоматического управления с применением алгоритмов нечеткой логики и нейронных сетей. Рассмотрены методы построения современных систем управления, проанализированы их достоинства и недостатки. Рассмотрены особенности различных подходов к построению систем автоматического управления технологическими объектами при добыче и транспортировке нефти. Наиболее распространенными являются метод прямого цифрового управления или метод с применением обратных связей. Представлено классическое описание объектов автоматизации и телемеханизации на основе параметров систем. Приведены основные характеристики рассматриваемых технологических процессов, таких как добыча, подготовка и транспортировка нефти, не позволяющие добиться максимальной эффективности в существующем подходе. Выявлены наиболее важные факторы для эффективных систем автоматического управления данными объектами. Полученные экспериментальные данные показали, что параметры технологического процесса варьируются в значительных пределах от номинальных значений, что приводит к невысокому качеству работы регуляторов. Точность моделей идентификации системы на основе линейных авторегресинных методов составляет не более 30 %. Сделан вывод о необходимости применения для управления нелинейными объектами с присущими неопределенностями на основе нейронечетких и нечетких регуляторов с дискретными термами.
Development of an Algorithm for Improving the Quality of Images of the Input Video Stream for Controlling Nuclear Vehicles
Authors: Sagdatullin A M , Shamsutdinov R A
Published: July 2021

Основная цель исследовательской работы - разработать и проанализировать метод и алгоритм цифровой обработки изображений для улучшения качества получаемых выходных потоковых видеопоследовательностей на основе обработки гистограммы. Графическое представление количественной характеристики распределения вероятностей интенсивности пикселей в выбранной области изображения представляет собой гистограмму. Самый распространенный способ улучшить изображение - выровнять гистограмму. Цель этого метода заключается в выравнивании уровней яркости пикселей и нормализации частоты, а гистограмма должна соответствовать равномерному закону распределения. Для достижения поставленной цели разработан алгоритм равномерного совмещения гистограммы обработанного изображения. Представлен анализ направлений развития систем управления, который показал, что в настоящее время существует четыре уровня интеллектуальных автономных транспортных средств: управление тормозной системой и системой контроля скорости автомобиля, управление системой разгона (рулежки, автоматической парковки), система автопилота, продвинутая система автопилота. Представлено аналитическое описание метода улучшения качества изображения видеопотока на основе вычисления контрастности. Приведен алгоритм вычисления контрастности изображения на основе поиска светимости пикселей и алгоритм вычисления общего среднего цвета отдельных каналов. Реализовано моделирование функций рассматриваемых алгоритмов и процесса улучшения качества изображений в программе MATLAB с использованием Image Processing Toolbox. Полученные результаты представляют собой двоичное изображение с однородной гистограммой яркости пикселей. На основе проведенного эксперимента можно сделать вывод, что представленные алгоритмы позволяют повысить контрастность результирующих изображений, а также выровнять гистограмму яркостей пикселов.
Manhole Management System
Authors: Rao Dr. Tavanam Venkata
Published: July 2021

A smart city is the future goal of providing cleaner and better services to society. Smart underground infrastructure is an important feature to consider when implementing a smart city. Monitoring the drainage system plays a vital role in keeping the city clean and healthy. The supervision is incompetent, this results in slow treatment of drainage problems and takes more time to resolve. In order to alleviate all of these problems, the system is being developed with a wireless sensor network consisting of sensor nodes. The project aims to design a well management system using IOT that will notify the management station via email when a well exceeds its thresholds, and the system will also monitor the data from the sensors on the LCD module, the system will reduce the risk of death for manual collectors that clean the underground drain and also benefits the public. The project uses a water level sensor, a water flow sensor, an SR04 ultrasonic sensor, a temperature sensor, a gas sensor, an Arduino UNO atmega328 microcontroller and a Raspberrypi3 processor. This project "MANHOLE MANAGEMENT SYSTEM" helps to send signals from sensors. This project consists of Raspberry Pi3 and Arduino Uno, the two microcontrollers that are connected to each other.The signals received by the Arduino from the sensors are converted from analog signals into digital signals with the help of the ADC on the Arduino board and then processed and sent to the Raspberry Pi, it takes this as input data and the Raspberry Pi is sent to an E. -Mail to the appropriate authority. The status of the project is displayed on the LCD module.
Medical Records Management with Decentralized Framework
Authors: Jorwekar Harshal
Published: July 2021

The mystery between the emotional improvement of medical information protection interest and long periods of administrative guideline has eased back advancement for electronic medical records (EMRs). In this paper, we propose a efficient, secure and decentralized Blockchain system for data privacy preserving and sharing. This manages confidentiality, authentication, data preserving and data sharing when handling sensitive information. We exploit consortium Blockchain and smart contracts to accomplish secure information storage and sharing, which forestalls information sharing without consent. The patient’s historical data, medical record, patient’s private information is very critical and needs to be stored and maintained securely. The proposed framework builds information security and eliminates the cost, time, and assets needed to deal with the medical care information records.
Drone Detection and Auto Destroy System
Authors: Gali Saiteja
Published: July 2021

The purpose of this project is to design and construct automatic drone detection and destroying system using embedded systems. This system is designed to detect the target (drone) moving in multiple directions. The target destroying system moves automatically in the direction of drone and fires it upon fixing the target. In this project we are making use of infrared sensor based radar system and a dc motor driven laser firing unit interfaced with a microcontroller based control unit. Embedded C programming is used for Microcontroller.
Traffic Sign Classification using Deep Learning
Authors: Chavan Janhavi Anand
Published: July 2021

Detecting and classifying traffic signs has been of uttermost importance ever since the emergence of Advanced driver assistance system and autonomous vehicles. Traffic signs are one of the decisive factor for traffic supervision. Because of complexities in driving nature it is difficult to detect the traffic signs and classify them because of partial occlusion and their small size. Different methods were contemplated for the same but there is a need to enhance them to fulfill the necessities of autonomous vehicles. Detection and recognition of small objects with the help of image processing system was an arduous task. Deep learning algorithms have been a key factor for recognition of traffic signs. Convolution Neural Networks are used for the mechanism. These method aids to get the accuracy in spite of the disturbances. Training of neural networks is implemented with the help of Tensorflow and Keras library.
Precision Agriculture using LoRaWAN
Authors: Kaushal N V
Published: July 2021

The growing world population as well as increased awareness of the stress, agriculture places on the atmosphere has put farmers beneath intense pressure. Its value is noting that the farmers have long leveraged the technological breakthroughs and to adapt agricultural practices to ever-changing in times and this era is no exception, significantly with the emergency of fine Agriculture. Advanced commercial enterprise is fully dependent on power to efficiently manage resources so as to cut back the environmental impact, minimize the price and maximize the yield. Farmers are facing the associate degree interconnected to host of challenges and thus, having interest in incorporating the innovative technological solutions. Harnessing technology to alter precision agriculture has emerged to produce farmers with the tools they need to serve a half-hour larger population within the future in a very property approach that's harmonical with nature. The wireless sensor network (WSN) is a technology that has quickly been evolved over the years by enabling the spectrum of applications like industry, military, and agriculture. The LoRa devices have provided the ability to mechanically monitor the crops and the animals, which further provides the profitable knowledge which has been collected manually. During this project we tend to come up with a technology, to form a wireless network and alter the irreversible consequences of poor irrigation management. By dispersing the sensors that are connected to the phones or computers of the farmers will instantly receive the data on soil moisture and temperature, weather and rain, crop growth, and also receive the alerts on fire or theft and will activate irrigation instrumentation. All the data collected can feed into call management tools that helps the farmers to take the correct call at the correct time to get optimized results and will guarantee the property of his farm so high price knowledge are often transmitted over distances of up to fifteen metric linear unit from the sensors whose batteries which is lasting up to 10 years, leading to lower the maintenance and in operation prices beside the larger operational visibility, that successively empowers farmers to build their businesses.
Bridge Design and Analysis using BIM Software
Authors: Chinchkhede Aniruddha
Published: July 2021

In the Bridge project, design and analysis include two main components: preliminary design and detailed design, to integrate Building Information Modeling (BIM) in the design process of the Bridge. Firstly 3D modelling of the Bridge needs to be carried out, that means. It has transferred 2D drawing into 3D models. The BIM mainly focuses on modelling analysis, detection and feedback and design. Cantilever bridge construction is a step-by-step construction of a cantilever in segments and stitching them to segments previously casted by prestressing. When the cantilever segments are added to both sides of the pier, the bending moment in Bridge is negative & increases with the addition of each segment. While key blocks are added, the Bridge is converted from cantilever form to continuous form & the negative bending moment on the pier decreases. In this project, a bridge model of span 130 m has been designed and analysed in midas civil to observe the rate of change of Bending moment, reactions and deflections at different stages of construction in construction sequence and Service conditions.
The Machine Learning Algorithm for Prediction of Risk Factors of Cervical Cancer
Authors: Patil Mr. Mahesh
Published: July 2021

Cervical cancer is caused by the Human Papilloma Virus (HPV), the most common infection of the reproductive tract. Almost all cervical cancer cases (99 %) are linked to infection with high-risk human papillomaviruses. The peak time for infection is shortly after becoming sexually active, and most individuals with healthy immune systems will clear the virus within a few years. Almost all sexually active individuals will become infected with HPV at some point in their lives and some may repeatedly be infected. Cervical cancer is the fourth most commonly occurring cancer in women and the eighth most commonly occurring cancer overall. In 2018, an estimated 5,70,000 womens were diagnosed with cervical cancer worldwide and about 3,11,000 womens died from the disease. In India, cervical cancer contributes to approximately 6-29% of all cancers in women.
Career Guidance using Machine Learning
Authors: Metha Shubham
Published: July 2021

Career guidance is nowadays become necessary because of its proper planning students are always in positive side and very less chances of failure in their respective field. If Career guidance is efficient then there will be excellent match between student skills and their end career goal for that many career counselling institutes using AI and ML with their domain experts for effective counselling.
A Possible Role of Pulegone against Glypican-1 for the Treatment of Alzheimer’s Disease through In-Silico Approach
Authors: Kaushik Nikita
Published: July 2021

Alzheimer’s disease (AD) dementia is a type of neurodegenerative disease, refers to a distinct arrival and certainly functional and mental decline which is linked with age which eventually leads to death. This current study was to demonstrate the role of pulegone against Glypican-1 for the treatment of Alzheimer’s disease through an in-silico approach. Methods: All the information and studies were gleaned from molecular docking. With the use of docking software, Docking was implemented between the target protein GPC1 (PDB ID: 4YWT) and the entire ligands. We preferred GPC1 (PDB ID: 4YWT) as a target protein and several natural compounds such as Rosmarinic acid, Allo ocimene, and Pulegone as ligands. When the preparation of protein is done, in PyRx software we introduced the entire ligand for the process of virtual screening. As reported by the result of PyRx and Lipinski’s Rule of Five, the finest compound against GPC1 with its smallest amount of binding energy was Pulegone. Results: For the procedure of molecular docking between the receptor protein GPC1 (PDB ID: 4YWT) and Pulegone a software called AutoDock Vina was used. The outcome showed 9 poses with distinct binding energy, RMSD LB (Root means square deviation Lower Bound), RMSD UB (Root mean square deviation Upper Bound). Through PyMol (an open-access tool for the visualization of the molecule), the interaction amidst Pulegone and GPC1 can be visualized. Conclusion: The merely compound which can restrain the activity of GPC1 (PDB ID: 4YWT) was Pulegone, based on the in-silico approach. Therefore in the advanced studies, Pulegone can be a capable medicine acquired from natural sources for dealing with Alzheimer’s disease.
Processing of Digital Signals in (+1, -1) Binary System
Authors: Chaubey P.
Published: July 2021

Digital Signal Processing in (+1, -1) system has been studied in detail. Effects of number representation on quantization and truncation of rounding have been discussed. First order and second order filters have been investigated. Differential pulse code modulation method of coding is being studied. It is found that this system is well suited for VLSI design. The hardware realization of different components of DPCM is easy and straight. The position and negative signals can be processed in a unified way. It gives better performance in comparison of two’s complement representation of conventional binary system. The effect of limit cycles, stability and round off noise in first and second order filter have been discussed too.
Electronic Hover Craft
Authors: Kumar G. Jayanth
Published: July 2021

Electronic hovercraft is a device which can easily move on sand, water, hill areas and also muddy places. The main reason behind this project is to rescue the people in the flooded region. Our Indian army forces like Indian army, Indian navy will have greater use of this project. For example coming to our local areas just recently happened these situation is in Hyderabad we got floods so many people lose their houses, property.so many people were injuired. There is no such reliable system to rescue there. In that one senior citizen was died due to the helpless situation these type of situation makes so hurting to us. In that cases these type of devices may save their lives. In this system we have Bluetooth, Arduino UNO, propellers, two navigation motors which can give right and forward moving directions. Considering the price, simple implementations this project proses a less cost compare to fire brigade. With the help of Bluetooth in distance we can operate the system. With driving manually we can operate. Due to this one person can be saved. Instead of a driver one extra person can save. By using Bluetooth Arduino control app we can send command to the Arduino. When we give command we can operate, navigate the device with the help of down propeller air fills in cushion with the help of back propeller it will move towards forward direction with this we can control the device navigation for this we have 12volt 3.5Amps Battery power supply. Amplified current version battery to drive the motors.
Electronic Hovercraft
Authors: Kumar G. Jayanth
Published: July 2021

The small autonomous vehicles of the future will have to navigate close to obstacles in highly unpredictable environments. Risky tasks of this kind may require novel sensors and control methods that differ from conventional approaches. Recent ethological findings have shown that complex navigation tasks such as obstacle avoidance and speed control are performed by flying insects on the basis of optic flow (OF) cues, although insects' compound eyes have a very poor spatial resolution. The implementation of an optic flow-based autopilot on a fully autonomous hovercraft. Tests were performed on this small (878-gram) innovative robotic platform in straight and tapered corridors lined with natural panoramas. A bilateral OF regulator controls the robot's forward speed (up to 0.8m/s), while a unilateral OF regulator controls the robot's clearance from the two walls. A micro-gyrometer and a tiny magnetic compass ensure that the hovercraft travels forward in the corridor without yawing. The lateral OFs are measured by two minimalist eyes mounted sideways opposite to each other. For the first time, the hovercraft was found to be capable of adjusting both its forward speed and its clearance from the walls, in both straight and tapered corridors, without requiring any distance or speed measurements, that is, without any need for on-board rangefinders or tachometers.
Implementation of Hybrid Algorithm in Cluster Head using Neural Networks
Authors: S Pooja
Published: July 2021

A Neural Network is a data processing system consisting of large number of simple, highly interconnected processing elements. In this paper a graphical convention is utilized where hubs are orchestrated in the form of cluster. An epic methodology is presented for choice of group head by the utilization of fake neural organization to expand organization's lifetime in WSN and calculation of steering convention dependent on neural organizations (NNs). In the proposed work, a standard burned-through energy is used for the choice of bunch head and and steering convention LEACH is used. The leftover energy is utilized for making group head and for the determination of bunch head using Neural Network. In the proposed system Using LEACHNN algorithm Throughput, packet delivery ratio ,energy is improved by 20%.
Identification and Improvement of Accident Black Spots on SH-1 and SH-38 Dist. Khargone (Madhya Pradesh) - A Case Study
Authors: Choube Vasu
Published: July 2021

we know that as the increment in population is directly connected to increment in vehicles. And if number of vehicles increase number of accidents is also increased. The reason of accidents are road parameters or human error. We find out from the previews analysis of data that 66% accidents are occur due to human errors and 33% due to the parameters of road. We have 3.3 million km network in India which consist all types of road just like National Highway (NH), State Highway (SH),, Major District Road (MDR) and other District Road (ODR). The Road safety is major important considarable thing in present time because accident cases goes very high in past some years. So the identification of the some sites that called black spots are important for the better road safety policies. So in this thesis we taking a route of a district khargone and find out the black spots, accidents cases, reason of accident cases and after the all calculations we also give the suggestion for the improvement of road. Mandleshwar is a town and Nagar panchayat in the Khargone district of the India state of Madhya Pradesh. It is on the banks of Narmada River 8 kilometres (5.0 mi) east of Maheshwar and 99 kilometres (62 mi) south of Indore. It is a "Pavitra Nagri" as termed by the government of Madhya Pradesh, as it is an ancient town. It is the education centre of Maheshwar block, the location of the district court and district jail of Khargone, and is also the political centre of Maheshwar block In mandleshwar city district Khargone roads has major connectivity and there are not big industries but these road carries large numbers of passengers to industrial area of Indore,and other state Gujarat ,Maharashtra ,Rajasthan through state highways and district road. Mandleshwar is also connected to other state highways just like: Mandleshwar to barwaha( SH 38) 41.4 km Mandleshwar to Mhow (SH 1) 56.2 km Mandleshwar to Dhamnod (SH 38) 21.4 km Mandleshwar to Khargone (SH 1) 47.0 km This paper presents an analysis of accidents on small portion state highway city mandleshwar to connect the other cities.The data for analysis is collected for the period of 2015 to 2019.
A Comparative Study on Analysis of a Conventional Multi-Storey Building & a Monocolumn Building
Authors: Kene Piyush
Published: July 2021

The comparative study on analysis of RCC Frame structure supported on a single column and multi-column is done in this project. Cost comparison , Ground space comparison is done between RCC single column and RCC multi column structure .This paper presents structural modelling, stress, bending moment, shear force and displacement, deflection design considerations for a structure and it is analysed using STAAD-Pro. Various steps involved in designing of RCC Frame structure supported on a single column and multi-column by using software are Geometric Modelling, providing material properties and sectional Properties, fixing supports and boundary Conditions, providing loads & load combinations, Special Commands, Analysis Specification , Design Command and Report. The influence of plan geometry has an important role in static analysis. Maximum values of stresses, bending moments, shear forces and displacements and deflection are presented. The acting loads considered in the present analysis were dead load, Live load, floor load, and wind load. The project is to planning & analysis by using software for a multi storied building and single column building of G+3, G+7, G+15 floors. The design is done by taking in to account the requirements and standards recommended by IS code and national building rules.
Molecular Docking Studies of Possible Treatment of Diabetes using Vasicine against Islet Amyloid Polypeptide
Authors: Kumar Tushar
Published: July 2021

Diabetes is the becoming one of the most common problem all over the world. About 1 in 10 persons are suffering from diabetes and most from type 2 diabetes. It occurs due to problem in pancreas which further results defect in the insulin secretion, as insulin maintains blood glucose level. The effect of Alpha-Amyrin Acetate, Myrcene and Vasicine compounds against Islet Amyloid polypeptide (IAPP) protein was seen through molecular docking studies. IAPP acts as complementary to insulin in regulating the sugar level for the treatment of diabetes disease by virtual screening. Different tools and software used in this research were Uniprot, Pubchem, Swiss ADMS, PyRx, Auto dock Vina/MGL tool and PyMOL.
Job Satisfaction of Government School Teachers with Special Reference to Periyakulam
Authors: Scarlet Dr. A.
Published: July 2021

Teachers are the pillars of our nation. Teachers play an important part in developing the Knowledge and skills of youth. This study aims at investigating the job satisfaction among school teachers. Teachers have a very vital role in students’ development. The teacher’s value and knowledge are imparts the future of the students future and future of the nation. Job satisfaction of government school teachers with special reference to Periyakulam is carried out with an objective to determine the satisfaction of government school teachers in Periyakulam and to find out the job satisfaction government school teachers data were collected structured questionnaire. Primary data was collected directly through the government school teachers. Distribution of the questionnaire to the government school teachers of convenient sampling was used to select the survey was taken among those selected government school teachers. After collecting the data from the government school teachers, it was analysed using simple percentage, opinion of teachers about their job, chi-square. The present study carried out with 100 sample respondents of government school teachers.
Optimization of Surface Roughness in Turning Operation using Al- 6063 and Effect of Dry Machining
Authors: Khan Md Jafar
Published: July 2021

ALUMINIUM-6063 is a widely used alloy material in the production of aerospace, aircraft, gas turbine components. This investigation focuses on the influence of machining parameters, viz., spindle speed, depth of cut and feed rate on the surface roughness obtained in Lathe operation of Al 6063 alloy. In the present study, experiments are conducted for nine different Al 6063 work piece materials to see the effect of work piece material variation in this respect. This roughness parameters, viz., Centre line average roughness, root mean square roughness. The roughness models as well as the significance of the machining parameters have been validated with analysis of variance. In addition, a good agreement between the predicted and measured surface roughness was observed. Therefore, the developed model can be effectively used to predict the surface roughness on the machining of Al6063 within 95% confidence intervals ranges of parameters studied.
Prediction and Analysis of Gold Prices using Ensemble Machine Learning Algorithms
Authors: Chandrashakar Gudipally
Published: July 2021

In this article, we used historical time series data up to the current day gold price. In this study of predicting gold price, we consider few correlating factors like silver price, copper price, standard, and poor’s 500 value, dollar-rupee exchange rate, Dow Jones Industrial Average Value. Considering the prices of every correlating factor and gold price data where dates ranging from 2008 January to 2021 February. Few algorithms of machine learning are used to analyze the time-series data are Random Forest Regression, Support Vector Regressor, Linear Regressor, ExtraTrees Regressor and Gradient boosting Regression. While seeing the results the Extra Tree Regressor algorithm gives the predicted value of gold prices more accurately.
A Green Strategy to Synthesize and Characterization of CuO Nanoparticles for Antimicrobial Applications
Authors: Chavan S. D.
Published: July 2021

Green synthesis of nanoparticles is the recent and advanced technology in the fields of nanoscience and biotechnology which produces the eco-friendly and more efficient antimicrobial agents. Therefore, present study reported a simple, suitable and cost effective method of preparation of bioactive antimicrobial agents by the green strategy of copper oxide nanoparticles with Moringa oleifera through a green route method. In this green process the vital and varsatile medicinal quality plant i.e., Moringa oleifera leaves extract as a reducing agent as well as stabilizing agent were used to prepare the copper oxide nanoparticles. The synthesized copper oxide nanoparticles were characterized by UV- Vis, SEM, and TEM techniques. The antibacterial activity of the samples were tested by disc diffusion method against gram positive bacteria (S.aureus), gram negative bacteria (E.coli ). The size of synthesized copper oxide nanoparticles was in the ranges around 60-100 nm with dot and spherical shaped morphology. The antimicrobial activities of biofunctionalized copper oxide nanoparticles were observed significant inhibition activity. From this analysis, the green synthesized biofunctionalization method what we have suggested is exposed assure results in the antibacterial activity tests. Moreover, biofunctionalized copper oxide nanoparticles are shown superior performance in the opposed to of microbes.
Speed Sensing Machine using Arduino
Authors: Kumar G. Pavan
Published: July 2021

There are certain rules that some authorities have introduced in case of violation of fastmoving vehicles. Most importantly determine any country regulation on certain roads that is, you will be breaking the law if the speed of your car exceeds this the limit. IR sensors are a large part of a project that detects car speed. Generally, you will be able to use set up IR Sensors on many ways but during this project, we used 2 IR Sensors models and set them 10cm apart. When the moving vehicle reaches the main sensor, the IR Sensor is activated. From this moment on, the timer has been started and can still save time until the car reaches the 2nd IR sensor. By imitating the gap in the middle 2 sensors at 5 meters, you will count the speed at which the vehicle has moved from 1st IR Sensor to 2nd IR Sensor as expected to verify the detection in kmph. All statistics and data collection are done in Arduino and therefore the end is shown in the 16X2 LCD display. This route was introduced to detect the speed of the car or a person in general and a warning to people who go along with providing an automatic buzzer. Currently, a RADAR gun or LIDARs are widely used to speed up the acquisition but require someone to pull the impact of finding speed. during this work it has been proven that automation provides better performance than human management system.
Smart Luggage System
Authors: Sunariya Himani
Published: July 2021

From an age, voyaging has been the piece of human existence and gear assumes a significant part while venturing out starting with one spot then onto the next. With time the methods for transportation expanded venturing to every part of the brief distance and over oceans got simpler however odds of losing gear expanded also. To decrease the misusing of gear. The specialists concocted the possibility of establishment of shrewd global positioning framework in the gear to follow the baggage progressively with the assistance of a microcontroller framework, which is wearable and helpful. Utilizing remote correspondence strategies the proposed framework has been planned. Consequently, the Gear Following is created to stay away from misfortune or misusing of a travelers baggage which makes pressure for the travelers. Furthermore, to expand the security of the venture we presented the possibility of RFID locking framework which expanded the degree of safety at one level. The proposed framework comprises of a Microcontroller Arduino which is associated with the gear through a GPS that gives the area subtleties to the GSM. This recovered information of baggage area is handled to the cloud data set that helps in discovering the area of the gear progressively, presently the baggage proprietor is furnished with client ID and secret phrase for attaching the baggage. On the off chance that the client has to know the situation with their gear, the individual can sign into his/her ID and recognize the situation of the lost baggage. Notwithstanding it a RFID Framework is utilized to configuration locking framework which builds the gear security. This stuff global positioning framework will illuminate where your sack is and where it has been. The framework utilizes geographic position and time data from the Worldwide Situating Satellites.