bluuebunny/crossref_metadata_2025 huggingface dataset:
Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus
Authors: Matsuda Shinichi , Ohtomo Takumi , Tomizawa Shiho , Miyano Yuki , Mogi Miwako , Kuriki Hiroshi , Nakayama Terumi , Watanabe Shinichi
Published: June 2021

Background

Gaining insights that cannot be obtained from health care databases from patients has become an important topic in pharmacovigilance.

Objective

Our objective was to demonstrate a use case, in which patient-generated data were incorporated in pharmacovigilance, to understand the epidemiology and burden of illness in Japanese patients with systemic lupus erythematosus.

Methods

We used data on systemic lupus erythematosus, an autoimmune disease that substantially impairs quality of life, from 2 independent data sets. To understand the disease’s epidemiology, we analyzed a Japanese health insurance claims database. To understand the disease’s burden, we analyzed text data collected from Japanese disease blogs (tōbyōki) written by patients with systemic lupus erythematosus. Natural language processing was applied to these texts to identify frequent patient-level complaints, and term frequency–inverse document frequency was used to explore patient burden during treatment. We explored health-related quality of life based on patient descriptions.

Results

We analyzed data from 4694 and 635 patients with systemic lupus erythematosus in the health insurance claims database and tōbyōki blogs, respectively. Based on health insurance claims data, the prevalence of systemic lupus erythematosus is 107.70 per 100,000 persons. Tōbyōki text data analysis showed that pain-related words (eg, pain, severe pain, arthralgia) became more important after starting treatment. We also found an increase in patients’ references to mobility and self-care over time, which indicated increased attention to physical disability due to disease progression.

Conclusions

A classical medical database represents only a part of a patient's entire treatment experience, and analysis using solely such a database cannot represent patient-level symptoms or patient concerns about treatments. This study showed that analysis of tōbyōki blogs can provide added information on patient-level details, advancing patient-centric pharmacovigilance.
Advancing Mental Health and Psychological Support for Health Care Workers Using Digital Technologies and Platforms (Preprint)
Authors: Ye Jiancheng
Published: June 2021

BACKGROUND

The COVID-19 pandemic is a global public health crisis that has not only endangered the lives of patients but also resulted in increased psychological issues among medical professionals, especially frontline health care workers. As the crisis caused by the pandemic shifts from acute to protracted, attention should be paid to the devastating impacts on health care workers’ mental health and social well-being. Digital technologies are being harnessed to support the responses to the pandemic, which provide opportunities to advance mental health and psychological support for health care workers.

OBJECTIVE

The aim of this study is to develop a framework to describe and organize the psychological and mental health issues that health care workers are facing during the COVID-19 pandemic. Based on the framework, this study also proposes interventions from digital health perspectives that health care workers can leverage during and after the pandemic.

METHODS

The psychological problems and mental health issues that health care workers have encountered during the COVID-19 pandemic were reviewed and analyzed based on the proposed MEET (Mental Health, Environment, Event, and Technology) framework, which also demonstrated the interactions among mental health, digital interventions, and social support.

RESULTS

Health care workers are facing increased risk of experiencing mental health issues due to the COVID-19 pandemic, including burnout, fear, worry, distress, pressure, anxiety, and depression. These negative emotional stressors may cause psychological problems for health care workers and affect their physical and mental health. Digital technologies and platforms are playing pivotal roles in mitigating psychological issues and providing effective support. The proposed framework enabled a better understanding of how to mitigate the psychological effects during the pandemic, recover from associated experiences, and provide comprehensive institutional and societal infrastructures for the well-being of health care workers.

CONCLUSIONS

The COVID-19 pandemic presents unprecedented challenges due to its prolonged uncertainty, immediate threat to patient safety, and evolving professional demands. It is urgent to protect the mental health and strengthen the psychological resilience of health care workers. Given that the pandemic is expected to exist for a long time, caring for mental health has become a “new normal” that needs a strengthened multisector collaboration to facilitate support and reduce health disparities. The proposed MEET framework could provide structured guidelines for further studies on how technology interacts with mental and psychological health for different populations.
Pemodelan Banjir dan Visualisasi Genangan Banjir untuk Mitigasi Bencana di Kali Kasin, Kelurahan Bareng, Kota Malang
Authors: Pratiwi Zafira Nur , Santosa Purnama Budi
Published: June 2021

Wilayah Kelurahan Kali Kasin di Kota Malang merupakan wilayah padat penduduk yang rentan terhadap banjir. Wilayah ini hamper setiap tahun mengalami banjir, yang berdampak pada kerusakan lingkungan dan infrastruktur. Oleh karena itu, tujuan penelitian ini adalah melakukan pemodelan banjir yang disebabkan oleh luapan Kali Kasin serta melihat cakupan wilayah genangan banjir. Metode pemodelan banjir  menggunakan pendekatan hidrolika dalam mensimulasikan debit air pada setiap penggal sungai menggunakan perangkat lunak HEC-RAS, serta melakukan visualisasi daerah genangan banjir serta area terdampak banjir menggunakan pendekan GIS. GIS juga digunakan untuk mempersiapkan beberapa data spasial yang digunakan untuk pemodelan banjir, seperti data geometri sungai, deliniasi daerah aliran sungai, serta untuk keperluan analisis spasial lainnya. Data hidrologis didapat dari pengolahan curah hujan harian pada stasiun hujan wilayah Kali Kasin. Analisis dilakukan dengan menggunakan model SCS CN pada perangkat lunak HEC-HMS untuk memperkirakan debit puncak pada sungai. Sedangkan, sumber data geometrik didapatkan dari Model Elevasi Digital dari citra ALOS PALSAR. Hasil penelitian menunjukkan bahwa pemodelan banjir dapat dilakukan untuk memvisualisasikan daerah genangan banjir di wilayah Kelurahan Bareng. Wilayah yang terdampak banjir seluas 24.225,63 m2. Hasil analisis menunjukkan ada sekitar 173 rumah yang terdampak banjir.
Kajian Perbandingan Luas Hasil Pengukuran Bidang Tanah Menggunakan GPS RTK-Radio dan RTK-NTRIP
Authors: Irianto Rizki , Rassarandi Farouki Dinda
Published: June 2021

Dengan berkembangnya teknologi dalam survei pemetaan seperti halnya penggunaan GPS Geodetik, maka penerapan dari teknologi untuk kebutuhan survei perlu memperhatikan faktor-faktor tertentu seperti ketersediaan alat, sumber daya manusia hingga kondisi lapangan. GPS atau biasa dikenal dengan Global Positioning System merupakan teknologi/alat atau sistem yang memberikan informasi berupa posisi kepada pengguna secara global dan real-time di permukaan bumi yang berbasis data satelit. Dengan teknologi tersebut diperoleh ketelitian yang tinggi dengan waktu yang singkat dalam penentuan sebuah posisi. Penelitian ini bertujuan untuk mengetahui ketelitian hasil pengukuran luas bidang tanah menggunakan teknologi GPS RTK-Radio dan GPS RTK NTRIP sebagai sikap pengambilan keputusan. Penelitian dilakukan terhadap daerah dengan obstruksi dan tanpa obstruksi fisik. Nantinya, dari penelitian ini diperoleh nilai-nilai koordinat (X,Y) dari GPS RTK-NTRIP maupun RTK-Radio, yang kemudian dihitung luasnya dan dibandingkan dari hasil pengukuran menggunakan ETS (Electronic Total Station) terhadap standar ketelitian luas dari BPN. Hasil perhitungan selisih luas lahan baik dengan obstruksi secara fisik maupun tidak, masih masuk dalam toleransi ketelitian BPN, walaupun untuk lahan yang terdapat obstruksi fisik memiliki selisih antara pengukuran menggunakan GPS dan ETS yang cukup besar yaitu hampir mencapai 5 m2.
Hot and Cold Cognition in Hybrid Communication
Authors: Efthimiadou Euphrosyne
Published: June 2021

In the socioprofessional as well as the educational context, hybrid communication has experienced an explosion and exerted strong influence not only on our psychic but also on our physical existence. In this context, cybernetics makes it possible to exploit the mechanism of control and interaction among people in continuous motion. With the integration of digital media in all aspects of human life, the exchange of digital data is continuously spreading without neglecting that these new modes of communication and collaboration can also determine our senses as well as our behavior by exerting influence not only on our perceptions and thoughts but also on our mentality. On the other hand, human capacities linked to psychomotor factors make it possible to cultivate critical thinking, sense of responsibility and cooperation. However, the risk of disturbances could lead to a gap of psychomotor investment. Above all, it is necessary to take into account social cognition and the role of memory in online interactions and learning techniques with the uses of computer systems, because the memorization of actual experiences becomes profound, if we perceive each situation in a state of strong emotional involvement.
Switch rates and total cost associated with apremilast and biologics in biologic-naive patients with psoriatic arthritis
Authors: Kaplan David L , Ung Brian L , Pelletier Corey , Udeze Chuka , Khilfeh Ibrahim , Tian Marc
Published: June 2021

Aim:
Real-world treatment data for psoriatic arthritis are limited. We evaluated switch rates, adherence, and costs for patients initiating apremilast versus tumor necrosis factor inhibitor (TNFi) and interleukin inhibitor (ILi) among biologic-naive psoriatic arthritis patients.
Materials & methods:
This retrospective analysis used IBM MarketScan claims data to assess treatment switches, adherence and costs.
Results:
Twelve-month switch rates were significantly lower for apremilast versus TNFi (15.5% vs 26.6%; p < 0.0001) and similar to ILi (15.5% vs 14.0%; p = 0.71). Apremilast initiators had lower total costs versus TNFi and ILi (US$39,854 vs US$57,243 and US$65,687; p < 0.05) and adherence was slightly lower versus TNFi and higher versus ILi.
Conclusion:
Biologic-naive apremilast initiators had lower switch rates versus TNFi initiators and lower total costs versus TNFi or ILi initiators.
A circulação de um modelo verde no Brasil: a Biblioteca Parque Villa-Lobos
Authors: Raulino Cleide Elis Da Cruz , Meira Roberta Barros
Published: June 2021

Este artículo presenta un estudio de caso de la Biblioteca Parque Villa-Lobos (BVL), ubicada en São Paulo, Brasil. La BVL es parte del Sistema Estatal de Bibliotecas Públicas de São Paulo (SisEB) y fue diseñada para convertirse en un modelo diferenciado, en el que las personas, sus necesidades e intereses están en el centro de atención y cuyos recursos, libros, espacios y las actividades culturales buscan satisfacer sus requerimientos de acceso a la cultura y la información. El artículo tuvo como objetivo reflexionar sobre los avances del modelo de bibliotecas-parque, al comparar el modelo con la biblioteca pública tradicional en Brasil; analizar cómo la sostenibilidad y el tema de las bibliotecas verdes se configuran en el concepto parque en la BVL y verificar las principales. factores que inciden en su aplicabilidad y se reflejan en sus prácticas. Además, busca exponer una reflexión crítica sobre los 17 objetivos de desarrollo sostenible de la Agenda 2030, en línea con los programas y servicios desarrollados o en desarrollo publicados en el sitio web institucional de la biblioteca.
Temporalidades de la política en contextos democráticos
Authors: Hernández Alcántara Carlos , Bautista Bravo Alliet
Published: June 2021

¿Cómo describir las temporalidades de la política en contextos de disputa por el poder en el proceso democrático de 2018 en México? El artículo busca elaborar una respuesta a esta interrogante desde comprender al tiempo como una experiencia de carácter concreto que le confiere posibilidades de autonomía a la política  en contextos democráticos. Este postulado nos permite comprender los tiempos de la política como esferas de relaciones de poder desde las siguientes premisas:1) la temporalidad de la continuidad de la política -el poder como realidad concreta-; 2) la temporalidad de igualdad política -el carisma como voluntad colectiva-; y 3) la virtud de la política -el proyecto como esperanza.Las temporalidades de la política combinan de manera vertiginosa negociaciones políticas, discursos, virtudes y acciones colectivas en contextos de disputa electoral. La comprensión de la sagacidad del “ser ahí” es el objeto del discurso que recorre el espacio y la temporalidad relacionados con el “hacer del ser”, es decir, la política, la definen como la política de poder del quehacer humano. Desde esa óptica, los contextos reales de disputa por el poder político de naturaleza democrática, promueven identidades plurales del ser en colectivo, combinando tanto las virtudes de las comunidades políticas como los resultados del “hacer social”. La movilización de la voluntad colectiva contiene una temporalidad real de secuencias hacia horizontes inciertos, a lo imprescindible, a la necesidad de contar con la racionalidad de la política como visión de futuro que incluya al proyecto. Se trata de una forma de esperanza, una construcción social de la política democrática, amoldada por los procesos de aprendizaje interpersonales-horizontales y de los compromisos políticos con los liderazgos carismáticos, partidistas, sociales y culturales.
Strength Assesment of Asphaltic Concrete using Bitumen, Natural Fibre and Stone Dust: A Critical Review
Authors: Sharma Divesh
Published: June 2021

In this review article, the usage of bitumen, sisal fiber and the sisal fiber for improving the strength parameters of concrete is discussed in detail. Numerous research studies related to the usage of bitumen, sisal fiber and stone dust are studied in detail to determine the results and outcome out of it. Previous research works showed that all, these materials were enhancing the strength and durability aspects of the concrete and depending upon the research studies certain outcomes has been drawn which are as follows. The studies related to the usage of the bitumen or asphalt in concrete so as to produce bituminous concrete or asphaltic concrete, the previous research works conclude that the maximum strength was attained at 5 percent usage of the bitumen and after further usage the general compressive strength of the concrete starts declining. The previous studies related to the usage of the sisal fiber showed that with the usage of the sisal fiber in the concrete, the strength aspects of concrete were improving and the maximum strength was obtained at 1.5 percent usage of the sisal fiber and after his the strength starts declining. Further the studies related to the usage of the stone dust showed that with the usage of stone dust as partial replacement of the natural fine aggregate the compressive strength of the concrete was improving and it was conclude that with the increase in the percentage of the stone dust, the compressive strength of the concrete was increasing.
Weight Loss Analyses and Quality of Dragon Fruit after Harvesting
Authors: Singh Neelima
Published: June 2021

Aim of this study is to analyse the percentage of weight loss in dragon fruit by keeping at different physical condition. We need to store fruits and vegetable at particular optimum physical condition because it is highly Vanishable. Vanishable means they can spoil very easily, because of high moisture content transpiration rate is also very high and since they are living commodity they undergo respiration. In this experiment a case study is conducted at different temperature of 12℃,8℃and 4℃. As the weight is decreased the firmness of fruit also decreases.
Series Compensation by using Shunt Active Filter to Mitigate the Harmonic Currents
Authors: Kamal Janjirala Sai
Published: June 2021

The rise in power electronic devices in power system has increased the problems of harmonics and power quality. In this paper I have discussed about the harmonics that are developed in power system due to non-linear loads. The damage of harmonics may rise from normal level to high level depending on their duration and the order of harmonic .So to mitigate this harmonics in power system I have introduced shunt active power filter by series compensation method. In this paper it is discussed how harmonics are reduced using shunt active power filter and it is shown through MATLAB/Simulink .The results of the simulation have been shown where the harmonics developed in power supply has reduced.
Solar Median Strip
Authors: Sharanya Mrs. D.
Published: June 2021

This paper describes about using solar energy to create intelligent highways. Smart highway and smart road are terms for a number of different proposals to incorporate technologies into roads for better future. Solar median strip uses solar panels, photovoltaic effect, LEDs and microprocessor chips with circuitry boards. Solar panels are arranged on median strip of the road. Energy from these solar panels is used to operate the street lights, water pump for nearby farms and additional energy can be stored and utilized by nearby communities by using an inverter. Solar median strip will pay for itself through generation of electricity. The implementation of this technology will create the clean energy boom. By this way we can use solar energy efficiently. We can also create smart roads for better future without causing damage to environment by using renewable source.
Smart Automation System for Controlling Appliances using Mobile Device
Authors: Kamble Diksha
Published: June 2021

Electronic devices and appliances have become very common in this recent year of technology especially with fast development in smartphones. In this paper, the design of Home automation system with good feature of automation via mobile device are presented. Bluetooth Based smart Automation System Using Android and Arduino is design and implemented. Bluetooth Based Automation System Using Android application and Arduino is implemented and design. This paper describe about smart automation system which would use to enable home lighting, fan, cooler, water pumping motor using a smart phone application with Bluetooth wireless technology. The system included three main components an Arduino Uno for connecting the appliances, a Bluetooth module for signal transfer, and a smartphone with the Android application to control home appliances. The idea of paper is to control home appliances to avoid the dangerous of electric shock and convenience of decrepit physically disable people, who can easily access and control the home appliances by staying at particular place and access them through smart phone without the help of other people.
Various Models for the Conversion of Handwritten Text to Digital Text
Authors: Maddineni Bhavyasri
Published: June 2021

Handwritten Text Recognition (HTR) also known as Handwriting Recognition (HWR) is the detection and interpretation of handwritten text images by the computer. Handwritten text from various sources such as notebooks, documents, forms, photographs, and other devices can be given to the computer to predict and convert into the Computerized Text/Digital Text. Humans find easier to write on a piece of paper rather than typing, but now-a-days everything is being digitalized. So, HTR/HWR has an increasing use these days. There are various techniques used in recognizing the handwriting. Some of the traditional techniques are Character extraction, Character recognition, and Feature extraction, while the modern techniques are segmenting the lines for recognition, machine learning techniques, convolution neural networks, and recurrent neural networks. There are various applications for the HTR/HWR such as the Online recognition, Offline Recognition, Signature verification, Postal address interpretation, Bank-Cheque processing, Writer recognition and these are considered to be the active areas of research. An effective HTR/HWR is therefore needed for the above stated applications. During this project our objective is to find and develop various models of the purpose.
Aerodynamics of Reverse Delta Wing
Authors: Keshav R.
Published: June 2021

Delta wings are mostly used in supersonic jets and fighter aircrafts. A delta wing is naturally stable and produces vortex lift, so the flow separation can be made into increasing lift. This augmented lift comes at an expense of high drag. A reverse delta wing is nothing but an inverted delta wing, the forward swept wings were inspired from this design. It has low drag coefficient and was used in ground effect vehicle. This paper aims to bring out all the possible studies and research work done on a reverse delta wing. The study was mainly inspired by the works of Alexander Lippisch and his design for the X-112 WIG (wing-in-ground effect).This paper will provide comparative flow patterns around a reverse delta wing and a normal wing with simulations and ways to optimize it to get a better efficiency.
Review Paper on Prediction of Heart Disease using Machine Learning Algorithms
Authors: Pandita Aadar
Published: June 2021

: Heart disease has been one of the ruling causes for death for quite some time now. About 31% of all deaths every year in the world take place as a result of cardiovascular diseases [1]. A majority of the patients remain uninformed of their symptoms until quite late while others find it difficult to minimise the effects of risk factors that cause heart diseases. Machine Learning Algorithms have been quite efficacious in producing results with a high level of correctness thereby preventing the onset of heart diseases in many patients and reducing the impact in the ones that are already affected by such diseases. It has helped medical researchers and doctors all over the world in recognising patterns in the patients resulting in early detections of heart diseases.
Design and Development of Braking and Transmission Systems in Go-kart
Authors: Bhosale Sangram Ramesh
Published: June 2021

Go kart is a four wheeled vehicle, mostly used globally as a motor sport. The idea of Go-kart is to make a vehicle out of scraps/ used parts of other vehicles. The following paper deals with design and installation of braking system in the Go-kart. The following paper deals with design with the design and installation of braking and transmission system in Go-kart. The braking system used here is a hydraulic disc brake with double piston caliper.
Design Analysis of Chassis used in Self-Propelled Onion Harvester using FEA Tool
Authors: Gosavi Kiran
Published: June 2021

Onion farming is more commonly practiced for an irrigated crop, resulting in a high yield with large sized bulbs. Manual harvesting of an onion being meticulous requires a large amount of manpower as well as time. Thus, we have constructed and evaluated a self-propelled onion harvester which will have good performance in terms of productivity, fuel economy, less damage to crop and operator comfort. This paper is intended to discuss the results of the design and analysis of the chassis under the guidelines of the SAE TIFAN rulebook [1]. The chassis is designed using tool CATIA V5 followed by Finite element analysis (FEA) using ANSYS and the consequent results have been plotted and comparative results of old and modified chassis has proposed. During chassis designing and analysis, several factors are taken into account like material selection, strength, durability, boundary conditions, force distribution, induced stresses, optimum factor of safety, ergonomics and aesthetics. All the decisions for design are based on all pros and cons from testing and results of previous competitions.
Chatbot using Lex
Authors: Sugandhi Omprakash Nitin
Published: June 2021

Chatbot have been popular in recent times and are gaining speed as a program for communication. Some chatbot respond like humans and mimic a conversation same to same like a normal human. This is known as Chatbot This paper addresses the Design of Chatbot system We will also understand existing system and scope of the system.
Cypher Cab - A Blockchain enabled Transportation Application
Authors: Raj Aditya
Published: June 2021

Ridesharing is a transportation strategy that allows drivers to share their trips with other people which results in less travel expenses. It also minimizes traffic congestions and carbon emissions. Currently, most of the existing ride-sharing services rely on a central third party, like Uber, Ola, Didi which charges high service fees. In this paper, we are using blockchain technology to build a smart ride-sharing platform - CypherCab. All the services from registering as a driver, to using this platform for ridesharing will be written directly to the blockchain distributed ledger. Utilizing the decentralized nature of blockchain, the data stored in the blocks will be stored in a distributed ledger, hence removing the dependency on a central third-party server. Moreover, blockchain enables us to remove intermediaries and allows direct transactions between the driver and passengers. In this paper, we have implemented a prototype using smart contracts in the Ethereum network and Ganache test network.
Detection and Characterization of Siderophores Producing Bacteria and Fungi with Potential to Chelate and Qualification & Quantification Assay
Authors: Patel Akanksha D
Published: June 2021

Siderophores are low molecular weight, Fe ion specific chelating agents which have been elaborated by microorganisms growing under low Fe stress. The present work aimed to detect and study the biodiversity of the Parnera hill forest and identify suitable different microorganisms which produce alternative, environment-friendly iron chelating agent i.e. Siderophores. To fulfill these objectives, the soil samples are collected from Parnera hill forests from different geographical locations during variable times and seasons. Isolated microorganisms were detected and identified for Siderophore production by CAS agar assay, level of Siderophore production is determined using various culture media. Also detailed study was carried out to identify types of siderophore produced using Arnow’s and Tetrazolium test, Spectrophotometric assay, FeCl3 test, Vogel test. The qualitative analysis of culture filtrates revealed the presence of Hydroxamate nature of siderophores for isolates S1-3, S6-12, S10-1, S9-10, S13-7, S13-8 and Catecholate nature of siderophores for isolates S1-1, S6-12 and S9-10 whereas, S1-3, S10-1, S13-8 and S14-19 isolates produced Carboxylate nature of siderophores The quantification of Catecholate nature of siderophores was also carried out: S6-12 showed maximum 80.76% siderophores production and S9-10 showed 70.15% siderophores production, whereas S1-1 showed least siderophores production 23.07% in 144 hours incubation. Therefore, isolates S6-12 and S9-10 are the most promising microbes and may be helpful for mass production of siderophores from microbes.
Self-Driving Car using Deep-Q-Networks
Authors: C V Rajath
Published: June 2021

A autonomous car is also called a self-driving car or a robot car. As for the history of self-driving cars, radio technology was used to control the tests, which began in 1920, and later in 1950, the tracks were finally put in place. The present-day individual is habituated to automation technology and the use of robotics in areas such as agriculture, medication, transportation, IT industry, etc. In the recent decades, the automotive sector has come to the forefront of researching private car technologies. The independent Level-3 standard was out in 2020. Everyday automotive technology researchers solve challenges. The prime intention of the project is to create a self-driving car using Deep-Q-Networks, thus enabling the car to make decisions based on the spontaneously occurring events. Independent vehicles require data and are regularly updated, therefore IoT and AI can assist in allocating device data to the machine.
Adaptive Traffic Management System using CNN (YOLO)
Authors: Sowmya B.
Published: June 2021

The huge number of vehicles on the roadways is making congestion a significant problem. The line longitudinal vehicle waiting to be processed at the crossroads increases quickly, and the traditionally used traffic signals are not able to program it properly. Manual traffic monitoring may be an onerous job since a number of cameras are deployed over the network in traffic management centers. The proactive decision-making of human operators, which would decrease the effect of events and recurring road congestion, might contribute to the easing of the strain of automation.The traffic control frameworks in India are now needed as it is an open-loop control framework, without any input or detection mechanism. Inductive loops and sensors employed in existing technology used to detect the number of passing vehicles. The way traffic lights are adapted is highly inefficient and costly in this existing technology. The aim was to build a traffic control framework by introducing a system for detection ,which gives an input to the existing system (closed loop control system) in order to adapt to the changing traffic density patterns and to provide the controller with a crucial indication for ongoing activities. By this technique, the improvement of the signals on street is extended and thus saves time by preventing traffic congestion. This study proposes an algorithm for real-time traffic signal control, depending on the traffic flow. In reality, the features of competitive traffic flow at the signposted road crossing are used by computer vision and by machine learning. This is done by the latest, real-time object identification, based on convolutional Neural Networks network called You Look Once (YOLO). Traffic signal phases are then improved by data acquired in order to allow more vehicles to pass safely over minimal wait times, particularly the line long and the time of waiting per vehicle.This adjustable traffic signal timer is used to calculate traffic density utilizing YOLO object identification using live pictures of cameras in intervals and adjusts the signal timers appropriately, therefore decreasing the road traffic congestion, ensuring speedier transit for persons, and reducing fuel consumption. The traffic conditions will improve enormously at a relatively modest cost. Inductive loops are a viable but costly approach. This method thereby cuts expenses and outcomes quickly.
Face Mask Detection with Raspberry Pi
Authors: Kumar G. Pavan
Published: June 2021

In the wake of the COVID-19 epidemic, institutions such as the academy are suffering the most from global closure if the current situation haven’t rectified. COVID-19 also known as Serious Acute Respiratory Syndrome Corona virus-2 is an infectious disease that is transmitted to an infected person who talks, sneezes or coughs through respiratory droplets. This spreads quickly through close contact with anyone with the disease, or by touching objects or the infected area. By wearing a face mask under the jaws covering at crowded places or by frequently hygiene at your palms and by using at the minimum of 70% sanitizers which are based on alcohol is the best method for the against of the COVID-19. In this project we have used it ML, OpenCV and TensorFlow face recognition. This the model can be used for security purposes because of course an app that works well for use. In this way MobilenetV2 using a BN-based layout too lightweight and embedded this model with Raspberry pi to make real-time mask discovery, when, SSD (Single Shot Detector) format is used and the spinal network is light. As technology advances, Deep Learning has demonstrated its effectiveness in recognition and classification through image processing. The study uses in-depth reading techniques to distinguish facial recognition and to determine whether a person is wearing a facemask or not. The collected data contains 25,000 images using 224x224 pixel resolution and obtained 96% accuracy with the performance of a trained model. The system enhances the Raspberry Pi-based real-time recognition made by alarms and takes a facial image when the person found is not wearing a facemask. This study is beneficial in combating the spread of the virus and in avoiding contact with it.
Design and Monitoring of Solar Power Generation System for Domestic Applications using Matlab/Simulink
Authors: Rajasekhar Mr. M.
Published: June 2021

In recent years, it is getting attention for renewable energy sources such as solar energy, fuel cells, batteries or ultra capacitors for distributed power generation systems.solar energy maintains life on earth and it is an infinite source of clean energy.Solar radiant energy accounts for most of the usable renewable energy on this earth. Photovoltaic (PV) is a method of generating electrical power by converting solar radiation into direct current electricity using semiconductor that exhibit the photovoltaic effect. Since last five decades, numerous studies have been performed on different design aspects and performance characteristics of Photovoltaic (PV) cells with a common objective of producing fully integrated PV modules to compete with the traditional energy sources. There is an increasing trend for the use of solar cells in industry and domestic appliances because solar energy is expected to play substantial role in future smart grid as distributed renewable source. The proposed model is based on a behavioral cell model for modeling solar radiance to electricity conversion and an electrical driver interface for implementing electrical characteristic of power limited systems in power simulations.
An Improved Strategy for High-Efficiency Multistage PV Module Using MPPT Technique
Authors: Tiwary Rahul
Published: June 2021

Renewable energy supplies are renewable energy sources that are of great benefit to the world today. Among the most commonly used renewable energy resources, solar energy is used to produce electricity, clean water supplies, respectively in every area of our lives. Photovoltaic cell transforms solar energy into electricity type, which includes solar cells. Some MPPT systems have been suggested to obtain optimum efficiency out of this system under different weather conditions. For an efficient operation and power extracted from a PV module, an MPPT is necessary. To improve the accuracy of the Solar Panel, a variety of approaches are used, the most common of which is MPPT or P&O. The basic goal of full power point tracking is to interpret the voltage and current from the solar panel, measure the power, and then display the power to its limit. Multi-stage DC-DC converter manages MPPT, and PWM controls grid current from Inverter. The inverter circuit provides all the activities in a single phase that involve MPPT and grid current power. In this proposed work, the DC / AC converter will be intended to ensure the system's safe interconnection and procedure and to retain the utility grid's power quality, so both MPPT techniques will be analyzed, established and contrasted via a converter to convert the highest energy from PV to the grid.
An Overview of Building Information Modeling (BIM) & Construction of 4D BIM Model
Authors: Jaiswal Arpit S.
Published: June 2021

The volume of construction output will grow by 85% to $15.5 trillion worldwide by 2030, with three countries – China, US and India – leading the way and accounting for 57% of all global growth. Construction industry largest industry worldwide comprising Architecture, Engineering and Construction professionals, Mechanical, Electrical, Plumber professionals, etc. The AEC industries have long sought techniques to decrease project cost, increase productivity and quality, and reduce project delivery time and one of the trending techniques is BIM (Building Information Modeling). BIM is intelligent model-based concept, in which buildings are built virtually before they get constructed actually on the grounds, where all the information in integrated in common platform as a result we get virtual data rich model of the structure. BIM plays crucial role in decisions making during its lifecycle. This paper describes the software’s and methodology used for construction of 4D model. The BIM and normal construction process, dimensions of BIM are also explained in this paper. 4D model can be used by project managers for effectively manging tasks and resources.
Detection of Disease in Leaf using Artificial Neural Network
Authors: Shresta Veeramaneni
Published: June 2021

Leaf spots are diseased areas on leaves. Agricultural production is negatively affected by plant diseases. We have proposed a system that can help farmers identify leaf diseases and take appropriate preventive measures to increase crop yields. We take images of diseased leaves and perform various pre-processing techniques on them, to detect the edges of the leaves. The entire region of interest is divided into blocks, and then the characteristics of each block are compared with the characteristics of the image in the database. The main purpose is to identify the disease in the leaf spot of the crop as 80-90% of the plant diseases occur in the leafspot. ANN methods are used for the classification of plant diseases. Using these methods, we can accurately identify and classify various plant diseases. We will create an end-to-end Android application. It is possible to run applications on mobile devices through the use of convolution operations, special integration, and the computational efficiency of using ANN to share parameters. This project will be of great use to the farmers as it will help them to detect the plant diseases in the early stage and enhance the production of crop.
Automated Gadget to Descry Fiat Currency Bills with Gross Balance Updater
Authors: Patil Abhay S.
Published: June 2021

Tallying and assessing bills notes with precision and the high rate is a formidable crisis for banks, shops, and even customers. Formerly the appearance of cash counting devices, people used to measure money manually. This protocol was not only dreary and time-consuming but also causes many errors during evaluation. This mini-project intends to see whether appliance vision strategies can be used to comprehend and measure Indian currency bills accurately and at an increased rate. Although there are money distinction algorithms catalogued in the literature, the proposed applications operate offline with stagnant images of the bills/paper notes. In this proposed mini-project, a color sensor-based procedure for the categorization of striding paper notes/bills is examined.
Gesture Vocalizer and its Visualization
Authors: Parimi Sruthi Sanhitha
Published: June 2021

People have the voice ability for communicating among one another. Tragically, not every person has the ability to talk and hear. Gesture based communication utilized among the local area of individuals who are distinctive abled as the methods for correspondence. Communication through signing is a motion portrayal that includes concurrent joining hand shapes and development of the hands, arms or body, and looks to communicate. The people who can't talk utilizes the gesture based communications to speak with other individual vocally hindered individual and even with other ordinary individuals who knows the implications of gesture based communications or an interpreter is expected to decipher the implications of gesture based communications to others who can talk and do comprehend the gesture based communications. In any case, it's anything but consistently workable for a person to associate with constantly to decipher the communications via gestures and not every person can gain proficiency with the communications through signing. In this way, another option is that we can utilize a gadget Gesture Vocalizer as an arbiter. The Gesture Vocalizer can take the motions a contribution from the vocally impeded individual and interaction it's anything but a literary and sound type of yield.
IoT Based Smart Attendance and Temperature Monitoring and Sanitization System
Authors: Quazi Prof. Ruhina
Published: June 2021

: With the rapid increase in covid-19 cases, the issues related to situation with respect to safety and precautions along with proper authorized persons is necessary. To avoid the spread of infectious diseases and illness, IoT based Smart authentication and temperature monitoring and sanitization system is the feasible and the trending solution. In the proposed system, the entrance of a particular firm or office will be provided with the embedded system which helps in real time monitoring and surveillance feature with proper sanitization. The data regarding the user’s personal information and temperature values will be used to provide information with respect to automated authentication and safety measures. The sensors will increase the efficiency of data gathered related to avoid spread of infectious diseases. The analysis of ceaseless data gathered from the system over cloud platform will help authorities to improve plans and measures related to the current situation.
A Vision-based Driver Night Time Assistance and Surveillance System
Authors: Sayyad Sahil
Published: June 2021

In India round 1.5 lakh humans died per year in avenue twist of fate because of road accidents most of them were due to low vision and weariness problems. Weariness (Extreme Tiredness) or Fatigue is a major purpose of avenue accidents and has extensive implications for street safety. several deadly accidents can be avoided if the drowsy drivers are warned in time. In many cases it is observed that a car hits some object/obstacle on road due to low vision in that case an object detection and warning system can help to avoid such accidents. Basically, Weariness is a state of sleepiness which abnormally happen when we are very tired or whilst drunken. A spread of drowsiness detection strategies exist that monitor the driving force’s drowsiness state at the same time as driving and alarm the drivers if they're no longer concentrating on driving. The relevant features can be extracted from facial expressions including yawning, eye closure and head actions for inferring the level of weariness. The organic condition of driver’s body is analyzed for driver weariness detection. So, this utility overcomes the trouble of driver weariness detection and object/obstacle detection & warning whilst driving using eye extraction, facial extraction, object and its distance detection using different algorithms.
Android App: Appno ki Madad (AKM)
Authors: Tiwari Gaurav
Published: June 2021

In covid-19 we have seen in our localities/societies/village people faces lot of difficulties and problem and they really want to help each other but they don't know which person need help and how to help them. by taking all these into accounts we have made an application on a small scale in which people can help each other. In this research paper we have done complete analysis of an android application developed by us for to help in need. this paper refers the aim behind developing the android application in this paper we have mentioned how we can help each other in needy and keep record . In addition this paper also gives an introduction of some basic concepts of android application development.
PERAN PEMERINTAH TERHADAP MASYARAKAT KORBAN KONFLIK DAN KONDISI KEHIDUPAN SOSIAL PASKA DAMAI
Authors: Mukhlis Mukhlis , Manan Abdul
Published: June 2021

Jambo Keupok is a village where there was violence by the TNI against civilians and was recorded as one of the gross human rights violations during the conflict between RI-GAM. The purpose of this study was to determine the role of the government towards conflict victims and the post-peaceful social conditions of society. This research is a qualitative research by combining library research and field research. The instruments used in this study were documentation, observation, and in-depth interviews. Data analysis techniques used is the Analysis Interactive Miles and Hubermen 1994 model: data reduction, data display and conclusions. The results showed that the role of the government was to provide legal protection, reveal all perpetrators of violence against citizens and provide assistance in the form of business capital, employment and education costs to children victims of conflict. The social conditions of the conflict-affected communities in Jambo Keupok are better than before, although they are still traumatized by the incident 17 years ago, the victims' families accept it sincerely what has happened in the past and they have been carrying out their usual activities by opening small businesses in small-scale, farming, gardening and so on.
Pseudoatetosis de los miembros superiores como manifestación del déficit de vitamina B12: a propósito de un caso
Authors: Parra Angie Viviana , Ramirez Sergio Francisco , Castillo Gabriel Augusto , Patiño-Rodríguez Hernán Mauricio , Moreno Julio , Vargas-Jaramillo Juan Diego
Published: June 2021

INTRODUCCIÓN:
La ganglionopatía sensitiva es una rara complicación del déficit de vitamina B12, la cual da origen a un espectro de síntomas neurológicos que incluyen alteración de la sensibilidad vibratoria, propiocepción, ataxia y, con menor frecuencia, trastornos del movimiento. La pseudoatetosis es una presentación muy inusual.

CASO CLÍNICO:
Un paciente masculino de 73 años se presenta con parestesias y torpeza de las cuatro extremidades, dolor tipo urente en plantas de pies y manos, inestabilidad postural y limitación para la marcha. En la exploración neurológica se encuentra hipoestesia y ataxia sensitiva de las cuatro extremidades, con presencia de pseudoatetosis de los miembros superiores como consecuencia de ganglionopatía por déficit de vitamina B12 demostrada por la imagen típica de "V" invertida, debido a compromiso de las proyecciones centrales las neuronas sensitivas mielinizadas en RMN de columna cervicotoráccica. A los cuatro meses se reporta mejoría del déficit propioceptivo y corrección del trastorno de movimiento gracias a la reposición de la cianocobalamina intramuscular. Hasta el momento no se presenta patología neoplásica, autoinmune o infecciosa.

CONCLUSIONES:
La ganglionopatía sensitiva por déficit de vitamina B12 es una condición potencialmente reversible y subdiagnosticada que puede manifestarse ocasionalmente con trastornos del movimiento. Debe sospecharse en pacientes con déficits sensitivos por compromiso de fibra gruesa. Su pronóstico es favorable si la causa del déficit se documenta tempranamente y se hace reposición de dicha vitamina.
Síndrome de Miescher-Melkersson-Rosenthal: Presentación de tres casos y revisión de la literatura
Authors: Romero Hernández Camilo Andrés , Ramirez Rodriguez Natalia
Published: June 2021

El síndrome de Miescher-Melkerson-Rosenthal es una condición clínica poco frecuente caracterizada por un edema orofacial episódico, paresia facial periférica recurrente, lengua geográfica (lingua plicata) y granulomas en biopsia de piel o labial. Se ha reportado más frecuentemente en mujeres, y su incidencia es probablemente subestimada por el desconocimiento del síndrome, su presentación clínica incompleta y la plétora de diagnósticos diferenciales. Se debe considerar en pacientes que presenten al menos dos de las cuatro características mencionadas. Su tratamiento, con esteroides vía oral, está dirigido a los episodios de edema orofacial y/o paresia facial. A continuación se describen tres casos del síndrome valorados en el servicio de neurología de la Fundación Cardioinfantil y se presenta una breve revisión de la literatura.