bluuebunny/crossref_metadata_2025 huggingface dataset:
KAJIAN KUAT TEKAN DAN GESER INTERFACE PADA BETON SCC DENGAN PEMANFAATAN FLY ASH SEBAGAI SUBSTITUSI SEMEN
Authors: Kurniadi Edi , Kurniawan Agus
Published: June 2022

Teknologi bidang konstruksi terus berkembang. Beton Self Compacting Concrete (SCC) merupakan beton dengan kinerja tinggi yang mempunyai kemampuan mengalir dengan sendirinya, durabilitas baik, dan mempunyai kekuatan tinggi. Penggunaan beton SCC dapat menghemat tenaga kerja dan penggunaan alat pemadatan, namun jumlah semen yang digunakan lebih banyak daripada beton normal. Pada konsep bangunan hijau (green building) yang ramah lingkungan mensyaratkan bahwa pembangunan dalam bidang konstruksi menggunakan material-material yang ramah lingkungan. Penggunaan semen walaupun dalam beton digunakan sekitar 7%-15%, ternyata untuk menghasilkan semen digunakan energi yang cukup besar dan kurang ramah lingkungan. Penggunaan fly-ash merupakan cara untuk penerapan green building. Penelitian ini memanfaatkan fly ash sebagai bahan substitusi semen, substitusi ini akan mengurangi penggunaan semen yang akan mengakibatkan penurunan performa dari kekuatan beton SCC. Pada penelitian ini  mengkaji kuat tekan dan geser interface pada beton Self Compacting Concrete (SCC) dengan pemanfaatan penggunaan fly ash yang akan di substitusikan dengan semen. Substitusi fly-ash tersebut sebesar 0%, 5%, 10%, 15%, 20%, 25%, 30% dan dengan menggunakan chemical admixture type F (sika viscocrete 1003). Pengujian kuat tekan dilakukan dengan menggunakan benda uji berupa silinder beton ukuran diameter 150 mm dan tinggi 300 mm sesuai standar SNI sedang untuk pengujian kuat geser menggunakan benda uji kubus beton dengan ukuran 150 mm × 150 mm × 150 mm mengacu pada metode bi-surface shear test. Hasil workability beton SCC meliputi pengujian filling ability menggunakan slump flow test didapatkan nilai yang lebih besar dari persyaratan minimum 55 cm, pengujian passing-ability menggunakan L-Box test didapatkan nilai  rasio h2/h1 yang lebih besar dari persyaratan minimum 0,8 dan viskositas/segregasi menggunakan V-funnel didapatkan nilai waktu kurang dari persyaratan maksimum 12 detik, dari ketiga pengujian tersebut maka beton tersebut termasuk dalam kriteria sebagai beton SCC. Kuat tekan beton SCC pada umur 7 hari 14 hari dan 28 hari menunjukkan dengan substitusi fly-ash sampai 20% ada peningkatan kuat tekan beton sampai 21 persen selanjutnya pada substitusi fly-ash 30% terjadi penurunan kuat tekan.
DETEKSI KADAR SATURASI OKSIGEN DARAH (SpO2) DAN DETAK JANTUNG SECARA NON-INVASIF DENGAN SENSOR CHIP MAX30100
Authors: Kemalasari  , Rochmad Mochammad
Published: June 2022

The level of oxygen saturation in the blood (SpO2) and heart rate is one of an importent variables to determine the health of the body. The purpose of this research is to design and implement  a non-invasive tool to measure the level of  SpO2 and heart rate, so that the measurement of them becomes easier. To measure the level of SpO2 and heart rate is used the MAX30100 chip sensor, which consists of infrared led, red led and photo diode, and that are integrated with arduino uno and PC. By attach the left index fingertip on the MAX30100 chip sensor, then the sensor will transmit infrared and red lights through the fingertips and the blood molecules will absorption the lights,  while the photodioda will detect the absorption of light by the physical properties of the blood molecules, so  the level of SpO2 and heart rate per minute can be detected. Data connection between the MAX30100 chip sensor and Arduino nano is connected by I2C (Inter Integrated Circuit) which has a serial data path (SDL) and a serial clock path (SCL), and RS232 is used for connection to a PC. On the PC, the level of the SpO2, the value of heart rate and its signal will be displayed on the GUI so the results of measurement can be monitored and used to analyze body health. The test of tool was carried out on 20 people with range of age are 18 to 50 years by comparing the results of the tool that designed with an Elitech pulse oximeter tool, where the value of an average error of SpO2 is 0.84 % and heart rate is 1.6 %.
Philo-Semitic Representation of Jewish Nationalism and Identity in Eliot’s Daniel Deronda
Authors: Singh Tanya , Sehrawat Dr Anil
Published: June 2022

This paper explores Daniel Deronda, which is a political novel where Eliot openly takes a stand for the Jewish cause and provides her solution to the Jewish Question. Eliot attempts to reveal through her book that Judaism which seems to have lost its fervour (due to Jewish conversions and expulsions), is not lost and remains at the very core of Jewish hearts and values. Through various instances in the novel, Eliot supports Jewish nationalism and their struggle for identity and rebukes British racial dominance and the literary antisemitic tradition.
Transmigración de canino inferior. Reporte de un caso clínico
Authors: Pérez-Flores Antonieta , Castillo Pino Gabriela , Fierro Monti Claudia
Published: June 2022

La retención dentaria es el retraso en la erupción dental. Con la ex- cepción de los terceros molares y caninos superiores, la retención dental es rara, al igual que la migración intraósea de los dientes retenidos. Se define transmigración como una anomalía atípica en la que un diente migra cruzando la línea media. Por lo general, el diagnóstico de esta patología se realiza por hallazgo radiográfico y conlleva múltiples tratamientos como extracción o posicionamiento ortodóncico. La transmigración dental generalmente es asintomá- tica, aunque puede relacionarse con complicaciones graves como la reabsorción radicular de dientes adyacentes, daño a estructuras anatómicas, malposición dental, desviación de la línea media y agenesia. El diagnóstico precoz con radiografías de rutina es fun- damental en su detección. El presente caso describe la evolución de un paciente entre los ocho y 12 años con un canino mandibular transmigrado y adicionalmente se hace una revisión de la literatura enfocada en los tratamientos a seguir.
Uso de la luz UV en odontología como método de desinfección contra SARS-COV-2
Authors: De la Rosa Nájera Eileen Esmeralda , Mendoza González Francisco Javier , Rodríguez Contreras Verónica Leticia , Saucedo Perales Carlos Gabriel , Segura Cisneros Elda Patricia , Rebolledo Ramírez Fernanda Lizeth , Vargas Segura Alejandra Isabel
Published: June 2022

La siguiente revisión a la literatura dará a conocer los inicios de la aplicación de la luz UV en la práctica odontológica y como se ha ido desarrollando en diversas áreas para procedimientos dentales. Recientemente a propósito de la actual pandemia por COVID 19 y debido a su rápida diseminación por diferentes países y en búsqueda de nuevas tecnologías que ayuden a controlar la propagación del virus, se está considerando a la luz UV como una opción desinfectante segura y eficaz, además de que estudios recientes sugieren que puede ser eficaz contra el SARS-COV 2 causante del COVID 19. La irradiación UV es un método desinfectante para la inactivación de microorganismos patógenos, que incluyen los virus humanos y animales
Impacto de la información de las medidas de bioseguridad ante el COVID-19 sobre la disponibilidad a pagar (DAP) de los pacientes por citas odontológicas
Authors: Revollo-Fernández Daniel Alfredo , Herrera-Miranda Andrea Isabel
Published: June 2022

Objetivo: Estimar la disponibilidad a pagar (DAP) por recurrir a una cita odontológica, sabiendo que la clínica implementó medidas de bioseguridad para evitar el contagio de COVID-19; y si ésta varía si se ofrece a los encuestados mayor información sobre dichas medidas y sus costos por implementar. Material y métodos: Planteamiento de escenarios hipotéticos por medio de encuestas aplicadas a personas en la Ciudad de México y un análisis de prueba de medias. Resultados: Un 45% de los encuestados tendrían DAP un monto adicional por su cita, y dicho porcentaje podría aumentar hasta un 58% si se ofrece mayor información. Conclusiones: La presencia de COVID-19 tiene un profundo efecto económico en las prácticas odontológicas y los tomadores de decisión, a través de política pública, deben diseñar y poner en práctica apoyos económicas al sector salud, y el sector salud debería ofrecer mayor información sobre las ventajas de las medidas y los costos en los que incurre.
Implementation and Analysis of Cryptocurrency
Authors: L Sowmiya , D Keerthana , L Mahalakshimi , A Ramya
Published: June 2022

Abstract: A crypto currency is a digital currency mainly based on blockchain technology. The use of virtual currency has become widespread in many different systems in recent years. Virtual money is not fully controlled and regulated hence most of the countries have not admitted this currency in their economic activities. The project aims to understand the basic concepts of cryptocurrency, how they works , analyze the different type of crypto at market and the hardship they face . We will be also trying to use this knowledge to create a small prototype of a crypto system.
Detection of Face mask using Machine Learning Algorithm to Prevent COVID 19 in Educational Institutions
Authors: Jenitta J , D Y Vidya
Published: June 2022

Abstract: Novel Corona virus also known as COVID-19 has affected humans worldwide. Because of this pandemic the schools, universities and colleges were closed. One of the important guidelines to stop the spread of COVID-19 is wearing a facemask, but the knowledge of wearing facemask is gradually decreasing and the public are not aware of their safety towards corona virus disease. So, to alert the people who are not wearing the facemask, a facemask detection system is proposed in this paper. In this paper, the Tensorflow object detection algorithm is used to detect the face mask. The people who are in the institution are monitored through the camera, whether a person is wearing a face mask or not. If face mask is missing, then the person is alerted to follow the safety protocol. The proposed method achieves 95%accuracy.
Use of Hemp in Fly Ash Brick
Authors: Waghmare Ankit , Tembhare Amisha , Gulhane Akshay , Gotmare Mrudul
Published: June 2022

Abstract: The construction sector is one of the primary energy consuming sectors and contributes substantial atmospheric emissions. The building and construction sector is responsible for 30% of global energy use and 17% of greenhouse gas emissions. In the past decade the construction community has been looking at sustainability of construction method. The requirement for improved construction method also leads to the search for new construction materials. One feasible material with suitable technical properties based on renewable is hemp fibre concrete or also known as hempcrete..Hempcrete is a Carbon Negative, non toxic, breathable and biodegradable building material made from hemp fibre, lime, fly ash, sand and water. This bio composite material has excellent thermal and acoustic insulation properties. Using renewable plant based biomaterials such as hemp in building material removes carbon dioxide from the atmosphere, hence reducing the carbon footprint of building infrastructure
Application Based Bus Tracking System
Authors: N Vinaykumar. , Kodumunja Sai Kumar , Ramavarapu Akshitha , Ch Sushma
Published: June 2022

Abstract: Buses are available to transport people to a variety of locations, although few passengers are aware of their existence. Complete information, such as the verity of buses those travel those the required end of location, bus numbers, bus time to, bus route data, and the time instant it will take for the vehicle to arrive at its end location, will assist passengers with various routes, track the present location of the bus, and provide the correct time for the bus to arrive at its end location. The proposed system is designed to address the concerns listed above. The system is an web app that offers critical bus data for all of Hyderabad. Because the Android Operating System provides a lot of features, it was picked for this type of gadget.It has only lately been released. It has grown to enormous proportions, with about every second person owning a piece of it. Since its launch, an everincreasing number of Android apps have been created on a massive scale. A vehicle tracking system can be used to track a vehicle's location and movement at any time and from any location. A fastest Google locations and GPS_module-based car tracks object are used in this project. These are some examples of similar ideas that have been attempted to be implemented in engineering and technology literature. To create a smartphone application that allows bus riders to track their bus's location? Users would be able to look for a specific bus by inputting its number, and the programme would reveal the bus's current location.Essentially, this programme provides a brief overview of bus locations, routes, and expected travel time with an online attendance feature, and it is entirely based on Google Maps and its API. Keywords: API, Web-Server, Google Maps,Android Studio ,Android SDK, GPS Tracking unit
An Experimental Investigation of the Effect of Pervious Concrete by Various Shape and Sizes of Aggregate
Authors: Ansari Samsad Hussain , Patel Mahesh Ram
Published: June 2022

Abstract: For many projects water cutting on the highway and in parking lots is a big issue especially during heavy rains as the pavements and floors are often inadequate. This results in significant investments in repairing and deploying storm water drainage systems, which may be trapped during large-scale flow. Three compounds of PCs were prepared in different types of composites [stone, angular and stone]. The study concluded that the integrated type has a significant impact on PC properties. And finally review some of the exploratory methods currently being developed to find a continuous concrete and summarize the research methods under consideration. Keywords: No fines concrete, Pervious concrete, Pebbles, flaky and elongates aggregate.
Automatic Tunnel Lighting System for Road Traffic with Auto Exhaust Fan
Authors: Priyadarshini Kompala , Sai Nisanth , Krishna Peddi Sai , Choubey Dr. Shruti Bhargava
Published: June 2022

Abstract: The main objective of this project work is to provide intelligent lighting scheme for the tunnels of hill station roads. Tunnel means tubular passage cut through the hill or underground, these tunnels remain in dark always and inside the tunnels proper lighting system are essential to avoid the accidents. In this regard our government is arranging lights and they are glowing continuously irrespective of traffic and lot of energy is wasted. To avoid energy losses at these places, this efficient and intelligent lighting scheme is developed, which works automatically depending up on the road traffic and minimizes the energy consumption. In addition, all the vehicles release the waste (exhaust) gases that may be stagnated in the tunnel, due to lack of circulation with the outside environment. So, a gas detector/sensor is used for sensing these exhaust gases released from the automobiles and pump them outside the tunnel through an exhaust fan automatically. The process begins from the sensors; optical sensors are used for sensing the vehicles and depending up on the traffic density, inside lights of tunnel are controlled automatically. For example, many vehicles entered in to the tunnel from both the sides, all the lights are energized and as the traffic moving forward depending up on the clearance, required lights are energized, during the clearance means no vehicle is inside, all the lights remain in off condition automatically. The system is designed with Microcontroller, four sets of Infra Red sensors are used and they can be arranged either side of the tunnel in by directional mode. All the sensors are interfaced with Microcontroller and the program is prepared such that, depending up on the interrupted signals obtained from the sensors. The sensor used in the project work can detect all types of petroleum gases; in addition, it can detect smoke also. The sensor interfaced with the controller can energize exhaust fan automatically when it detects any type of gas or smoke.
Asset Tracking System using Blockchain
Authors: Sudha CH. Madhavi , Shelge Sridhar , Goud Sakkari Vishal
Published: June 2022

Abstract— The technique of following a product or a batch of things throughout the supply chain to ensure that the products that reach clients are authentic and tamper-proof is known as asset tracking. The ultimate goal of an asset monitoring system is to track products along the supply chain, verifying that they haven't been tampered with and, if they have, pinpointing where the tampering took place. Traditional tracking technologies, such as BLE (Bluetooth Low Energy Beacon), which works within a limited range, RFID, and above-mentioned systems, are expensive and centralised. So, for this project, we'll use Blockchain Technology, which is an immutable, tamper-proof, decentralised distributed ledger with security features that allows us to establish an asset tracker that can follow our product along the supply chain. Ethereum is used to implement the system. Unlike other methods, there are no hardware components or large gadgets that may be removed from the original object and attached to the copy. Keywords— Blockchain, Supply Chain, Smart Contract, Keccak-256, Ethereum,GUI
Passive Cooling System to Provide Thermal Comfort
Authors: Pereira Cleta
Published: June 2022

Abstract: In a country like India, where temperatures may reach 40 degrees Celsius, everyone wants relief from the sweltering heat, but only a few can afford it. As a result, passive cooling is a low or no energy approach that relies on heat gain management and heat dispersion to offer thermal comfort. Heat Protection, Heat Modulation, and Heat Dissipation are the three basic types of passive cooling systems. The combined effect of approaches from each category on a prototype room is examined in this research, which includes shading and green roofs for heat protection, thermal mass (PCM) for heat modulation, and cross ventilation for heat dissipation. Thermal mass is a term that describes a substance's ability to store heat. The three primary phases of a Thermal Energy Storage (TES) system are thermal charging, thermal storage, and thermal discharging. Phase Change Materials or PCM are latent heat storage materials. The roof is one of the most exposed parts of a house to the sun, accounting for over half of the heat gain in a single-story home. As a result, heat protection might be a viable option for lowering heat gain via the roof. A green roof, or a roof with vegetation, is one such system that operates on the principle of evapotranspiration, which is the combined action of soil evaporation and plant transpiration. Another effective method of heat shielding that is used in everyday life is shading. Shading is a basic technique for blocking sunlight before it enters a structure by using structural components such as overhangs, light shelves, horizontal louvres, or blind systems. Cross ventilation is a natural cooling method that uses wind to force cold air into a structure through an opening while driving warm air out. Natural ventilation of this sort is low-cost and ensures that a structure is suitably cooled. There are many such different passive cooling techniques used in different regions of the world in the form of individual as well as hybrid system. This project focuses mainly on Hybrid Systems. Thus, the objective of this project is to integrate PCM and other secondary passive cooling techniques for creating a hybrid passive cooling system to provide thermal comfort.
Analysis on Performance Matrices of Routing protocols of Mobile Ad-Hoc Networks
Authors: Gaba Seema
Published: June 2022

Abstract: An ad-hoc network is a local area network which has been constructed to connect the one or more devices accordingly. It is a cluster of cellular mobile nodes that are collected with one-another, which form a transitory network, which means to form a temporary structure and there is no need of any permanent support. However, it will attach all nodes with the use of cellular network structure. At compile time, if there is any problem occur that will harm the network, than it can modify the channel from one node to another node. Therefore, because of greatly effective conditions to make networks in very difficult. To avoid these conditions that will harm the network, some protocols are introduced which includes the reactive routing protocols, pro-active routing protocols, cluster- based routing protocol, a hybrid-based routing protocol, Ad- hoc on demand distance routing protocol, optimized link state routing. This review paper gives the performance analysis of routing protocols based on their properties, characteristics, functions, and their shortcomings.
Continuous Integration and Deployment Automation in AWS Cloud Infrastructure
Authors: Sinde Sai Priya , Thakkalapally Bhavika , Ramidi Meghamala , Veeramalla Sowmya
Published: June 2022

Abstract-The primary objective of this project is to figure out how an application is automatically deployed. To automate the deployment, we'll require a container orchestration platform. Kubernetes is now a widely used container orchestration tool. Users can deploy, scale, and manage containerized applications thanks to Kubernetes' robustness. Continuous Integration and Continuous Delivery (CI/CD) of a project is required in modern development, and the focus is on developing and executing tests on every commit to ensure your test environment is constantly up-to-date. From the integration and testing phases through the delivery and deployment phases, CI/CD brings automation and continuous monitoring of programmers throughout their lifecycle. GitHub Actions is one of the CI/CD technology available in the market. By using GitHub as a source code management tool, it's best to use GitHub Actions as a continuous integration and delivery solution because it's supplied by GitHub. This does not require any setting or setup. As a result, incorporating these tools will speed up the deployment of an application. Keywords- GitHub Actions, Amazon Web Services, Continuous Integration and Continuous Deployment, Kubernetes, Workflows.
Developing an Android Application for Social Media
Authors: Katta Sankeerthana
Published: June 2022

Abstract: Social interaction has been the greatest social shift since the modern upset, drawing in huge number of individuals, making a consistently extending social web, and reforming the manner in which we impart. Yet many changes have occurred since the youth steps of casual correspondence and what it has formed into today, improvement is an endless cycle. Along these lines, in our task, extra strategies will be investigated to propel person to person communication generally. Web-based entertainment is a vital figure investigating present day culture in general, their qualities, standards, and ways of behaving, just like a piece of our regular day to day existence. It gives a phase where associations can get various crowds from all interests and sidestep different troubles like time, accessibility, openness, and distance of reach. The area is developing at a marvelous-rate
In-vitro antibacterial activity of Fosfomycin and Nitrofurantoin against Pseudomonas aeruginosa and Acinetobacter baumannii against clinical isolates collected from Indian tertiary care hospitals
Authors: Chavan Rajesh , Naphade Bhushan , Waykar Bhalchandra
Published: June 2022

The remarkable increase in resistance to currently available antibiotics to Gram-negative pathogens particularly multidrug resistant (MDR) Pseudomonas aeruginosa and Acinetobacter baumannii, This has resulted in increasing use of older under evaluated antibiotics such as fosfomycin, nitrofurantoin,  and Trimethoprime-Sulfamethoxazole for the treatment of infections caused by MDR pathogens. However, limited in-vitro pharmacodynamic data for fosfomycin and nitrofurantoin against Pseudomonas Spp., and Acinetobacter Spp., is available in literature. The current study demonstrates in-vitro activities of fosfomycin and nitrofurantoin against Pseudomonas and Acinetobacter pathogens (425 Pseudomonas Spp., and 352 Acinetobacter Spp., Total: 777 Strains), isolated from Indian tertiary care hospitals.  The minimum inhibitory concentration (MIC50/90) of fosfomycin and nitrofurantoin along with comparator antibiotics were determined using Clinical and Laboratory Standards Institute recommended agar dilution method. Fosfomycin demonstrated excellent in-vitro activity against Pseudomonas while in nitrofurantoin demonstrated poor activity against Pseudomonas Spp.,. Fosfomycin and nitrofurantoin did not show promising activities against Acinetobacter Spp.,. By applying E. coli breakpoints, the susceptibility rates of fosfomycin for Pseudomonas Spp., and Acinetobacter Spp., were 72.4%, and 14.8%, respectively. By applying respective breakpoints, the susceptibility rates of comparator drugs, including imipenem and meropenem, were lower than fosfomycin. Susceptibility rate of nitrofurantoin for Pseudomonas Spp., and Acinetobacter Spp., was <1.2% suggesting its poor activity. The susceptibility rate of fosfomycin was > 70% for Pseudomonas isolates, including strains expressing carbapenemases is encouraging finding and supports its potential use. Nitrofurantoin did not show activity against both the Spp., with susceptibility rates <1.2%.
Keywords: Fosfomycin, Nitrofurantoin Gram-negative, Multi Drug Resistant, A. baumannii and P. aeruginosa.
Factors Affecting Covid-19 Infection in Clinical Students at the Indonesian Christian University in 2022
Authors: Sanggul Andriyani Risma , Vidi Posdo Simarmata Vidi Posdo Simarmata
Published: June 2022

COVID-19 or Coronavirus Disease is an acute respiratory disease caused by a new RNA virus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). This virus is rapidly spreading around the world. There are several risk factors for COVID-19 infection. This study aims to determine the factors that influence the incidence of COVID-19 in UKI Medical Faculty clinical students in 2022. The research design was a cross-sectional analytic using primary data by google form questionnaire involving 164 samples of clinical students FK UKI analyzed by univariate and bivariate. The results of this research were five people (3.1%) infected with COVID-29 2 times, 95 people (57.9%) clinical students FK UKI who had been exposed to COVID-19. There was a relationship between the use of masks (p=0.008), washing hands (p=0.000), keeping a distance (p=0.014), avoiding crowds (p=0.005), mobility limitations (p=0.002), and contact with COVID-19 patients (p=0.010). However, there was no relationship between gender (p=0.393), smoking (p=0.581), complete vaccination (p=0.136), and comorbid disease (p=0.641) on the incidence of COVID-19 in clinical students FK UKI in 2022. The conclusion is that the implementation of the 5M protocol (Using masks, washing hands, Keeping a distance, Avoiding crowds, and Mobility limitations) and contact with COVID-19 patients proved to affect the incidence of COVID-19 in FK UKI clinic students in 2022.

Keywords: Gender, wearing a mask, washing hands, keeping a distance, avoiding restrictions, limiting mobility, contact with patients, vaccination, smoking, comorbidities, COVID-19.
A review on potential medicinal herbs as health promoters
Authors: Badnale Anil B , Sarukh Vikram S. , Nikam Yogesh P. , Supekar Amol V. , Khandagale Sandip. S
Published: June 2022

Nature has been a source of medicinal agents for thousands of years and a moving number of modern drugs have been isolated from natural sources they have plays an important role in the treatment and management of different diseases. The practice of herbal medicine has existed since prehistoric times as the primary source of medicine. In recent technology has very much advanced, herbal medicines still show and are finding exceptional acceptance in both the developing and the developed countries due to their natural origin and lesser side effects.  Traditional herbal remedies as alternative medicine play a significant role. Ginger has an Antiviral effect, Antioxidant effect & Anti-inflammatory effect given. Garlic is an ayurvedic medicinal herb that has been widely used as a medication and as a taste enhancer of the food. In traditional remedies, coriander was used for the relief of gastrointestinal conditions. Turmeric shows different biological activities such as Anti-inflammatory, Anti-viral, Anti-oxidant, anti-cancer, Anti-bacterial, Antiarthritis, Anti-diabetic, Fennel shows carminative and stimulant activities as well as spasmolytic activity due to its volatile and non-volatile compounds. Cardamom is used as a home remedy it helps cure various ailments like indigestion, nausea, headache, etc. Clove is a flavouring agent, antibacterial, stimulant, carminative, fragrant, and antiseptic. It's also used as an antiemetic and an anodyne. Dentists use clove oil to sterilize root canals and as an oral anesthetic. Cinnamon is used in coughs and colds, In brief, the information on medicinal herbs will be helpful to create more interest in this medicinal species by defining novel pharmacological and clinical applications and it may be helpful in developing new drug formulations in the future.

Keywords: Medicinal herbs, health, Ginger, Garlic, Coriander, Turmeric, Clove, Cinnamon, Fennel, Cardamom
Anti-inflammatory, Analgesic, and Antipyretic Potential of Azadirachta indica: A Review
Authors: Oktavia Sri Niza , Ifora Ifora , Fauziah Fitra
Published: June 2022

Inflammation is a protective response to injury or tissue damage and acts by eliminating harmful stimuli such as pathogens cell damage and initiates the healing process. Azadirachta indica was known as medicinal plant with various pharmacological activities. This review aims to summarize the scientific activity of A.indica as an anti-inflammatory, analgesic, and antipyretic with experimental models either in vivo or in vitro taken from several databases such as Google Scholar, ScienceDirect, and PubMed over the last ten years (2011- 2021). From the data, A.indica was proven to be anti-inflammatory by inhibiting pro-inflammatory cytokines such as IL-6, NFkB, COX2, IL-1, IL-6, TNF-α, IFN- γ, and reducing the volume of edema. Potential analgesic indicated by decreasing stomach writhing and reducing pain sensation in rats. The antipyretic activity was characterized by a decrease in rats' body temperature. This review proves that natural products from A.indica have anti-inflammatory, analgesic, and antipyretic potential.

Keywords: Analgesic, Azadirachta, Fever, Inflammation, Neem
Pemberdayaan Remaja Melalui Peer Educator Rohani Remaja Katolik (Remaka) Paroki Santo Gregorius Agung Jambi Dalam Upaya Pencegahan COVID-19
Authors: La Ode Reskiaddin , Aswin Budi , Siagian Laurencus Butsi
Published: June 2022

The third of young adults are medically susceptible to the disease COVID-19. Community empowerment is a strategy in preventing COVID-19.This community service aims to train and form peer educators. There are several stages carried out in youth empowerment activities, including coordinating with the parish church of Saint Gregorius Agung Jambi, at the activity site, facilitators mobilizing activity participants, conveying the aims and objectives of activities, orders from peer educator teams, training and coaching peers, discussion and questions answer and evaluate activities. The results of this training helped improve adolescents' understanding of covid-19 and had formed 22 peer educators divided into eleven regions and as an agent of change in providing health information to the public.The need for socialization and ordering of peer educators in various regions as the pioneers of the Covid-19 task force.

 

Keywords: Empowerment, Peer educator, Teenager
TRENDS AND PATTERNS OF TEXT CLASSIFICATION TECHNIQUES: A SYSTEMATIC MAPPING STUDY
Authors: Maw Maw , Balakrishnan Vimala , Rana Omer , Ravana Sri Devi
Published: June 2022

Due to the mass availability of textual data on Web, text classification (TC), classifying texts into predetermined sets becomes a spotlight for researchers. A number of TC applications have been proposed yet very few studies reported an overview of TC research area in a proper and systematic manner. This paper aims to provide an overview of TC research trends and gaps by structuring and analyzing research patterns, encountered problems and problem-solving methods in TC. In other words, this study highlights problem types, data sources, choice of language of text and types of applied techniques in TC. An intensive systematic study is conducted by applying guidelines proposed by Petersen and colleagues in 2007. In this paper, ninety-six literatures from five electronic databases from 2006 to 2017 were systematically reviewed and followed each and every step properly in accordance with systematic mapping study. Nine main problems in TC research area were identified and significant findings which highlighted the evolution of TC research within the past 12 years were investigated. Different from other review articles, this paper highlighted issues and technical gaps of TC area in a useful and effective manner.
ADOPTION OF INTELLIGENT COMPUTATIONAL TECHNIQUES FOR STEAM BOILERS TUBE LEAK TRIP
Authors: Ismail Firas Basim , Singh Deshvin , Nasif Mohammad Shakir
Published: June 2022

Frequent boiler tube trips in coal fired power plants can increase operating cost significantly. An early detection and diagnosis of boiler trips is essential for continuous safe operations in the plant. Several methodologies for the fault diagnosis in a plant have been developed. However these methodologies are difficult to be implemented. In this study, two artificial intelligent monitoring systems specialized in boiler trips have been proposed. The first intelligent monitoring system represents the use of pure artificial neural network system whereas the second intelligent monitoring system represents merging of genetic algorithms and artificial neural networks as a hybrid intelligent system. In the first system using pure artificial neural network, the trip was predicted 5 minutes before the actual trip occurrence. The hybrid intelligent system was able to optimize the selection of the most influencing variables successfully and predict the trip 2 minutes before the actual trip. The first intelligent system performed better than the second one based on the prediction time. The proposed artificial intelligent system could be adopted on-line as a reliable controller of the thermal power plant boiler.
A PARTITION-BASED FEATURE SELECTION METHOD FOR MIXED DATA: A FILTER APPROACH
Authors: Dutt Ashish , Ismail Maizatul Akmar
Published: June 2022

Feature selection is fundamentally an optimization problem for selecting relevant features from several alternatives in clustering problems. Though several algorithms have been suggested, however till this day, there has not been any one of those that has been dubbed as the best for every problem scenario. Therefore, researchers continue to strive in developing superior algorithms. Even though clustering process is considered a pre-processing task but what it really does is just dividing the data into groups. In this paper we have attempted an improved distance function to cluster mixed data. A similarity measure for mixed data is Gower distance is adopted and modified to define the similarity between object pairs. A partitional algorithm for mixed data is employed to group similar objects in clusters. The performance of the proposed method has been evaluated on similar mixed and real educational dataset in terms of the silhouette coefficient. Results reveal the effectiveness of this algorithm in unsupervised discovery problems. The proposed algorithm performed better than other clustering algorithms for various datasets.
A SYSTEM FOR RECOGNITION OF DESTINATION ADDRESS IN POSTAL DOCUMENTS OF INDIA
Authors: Roy Ramit Kumar , Pal Umapada , Roy Kaushik , Kimura Fumitaka K
Published: June 2022

Recognition of destination address is compulsory for automation of the postal system in India. Our observation found that such recognition becomes a very challenging task due to inter-mixing of three languages (Hindi, English and the official language of the particular state in which the postal document is supposed to reach).In this paper, our attempt towards development of a dynamic programming based system for city-name and pin code recognition of destination address in postal documents of India not only managed to address the difficulties related to identification of the scripts but also managed to get rid of those problems which is generated due to character touching in postal documents. For city-name recognition, lexicon information is used. However, no lexicon information is used for pin code recognition since an Indian pin code contains only 6 digits. We obtained 99.55% reliability from tri-lingual city-name recognition system where error rates are 0.20% and rejection rates are 28.11%. From our experiment on recognition of handwritten pin codes, 99.01% reliability rate, 0.83% error rate and15.27% rejection rate are obtained. Furthermore, to enhance the city-name results by distributing the lexicon size district-wise, we conducted an experiment and presented the results.
AN ARTICLE REORGANIZATION MODEL BASED ON EMOTION IMPLIED IN FORUM ARTICLES
Authors: Yang Shih-Ting , Tsai Yao-Chang
Published: June 2022

At present, the virtual forums are free and convenient speaking platforms, according to the speaking specifications and through the examination of forum administrators, the forum users can publish various articles easily. However, as the number of users increases, it is difficult for the forum administrators to check them one by one, and return all the articles to be revised. Also, the publishers (article providers) may write violative words unconsciously, so the article writers infringe the forum specifications with the publication, and shall revise the violative articles. Therefore, this paper develops an Article Reorganization Model based on Emotion Implied in Forum Articles including Article Expressed Emotion Determination Module and Publisher's Article Statement Reorganization Module. The first module deduces the emotion type of articles by analyzing representative events of articles, creating emotion word membership coefficient, analyzing similar statements and analyzing emotion probability and stable value. The second module uses integrated semantic similarity analysis, review score analysis and multiple combined sentences establishment, the article's statement structure can be reorganized. This paper builds a Web-based system and a real-world case is applied to confirm the feasibility of this methodology. For forum administrators, violative articles can be extracted rapidly from the articles with specific emotions and the violative statements will be reorganized. For article writers, the statements of violative articles can be revised automatically to save the time for revising violative articles.
AN APPROACH AND A TOOL FOR MERGING A SET OF MODELS IN PAIRWISE WAY
Authors: Boubakir Mohammed , Chaoui Allaoua
Published: June 2022

Model merging addresses the problem of combining information from a set of models into a single one. This task is considered to be an important step in various software engineering practices. When many (more than two) models need to be merged, the most practiced technique is to perform the merge in a pairwise way, without considering the order of merging. The problem with this technique is that the resulting quality is not guaranteed because it is influenced by such an order. In this paper, we propose a pairwise approach for model merging aiming to provide better results by taking into account the order of merging. This approach proposes to combine models in an iterative process until obtaining only one model. At each iteration, we first compare each pair of models in order to measure the similarity between them and to identify the correspondences between their component elements. This is performed using two heuristic-based operators respectively named compare and match. After that, we identify the most similar pairs of models and merge them using a proposed operator. We have implemented our approach as tool support called 3M and evaluated it on a set of case studies.
LEVERAGING NEURAL NETWORK PHRASE EMBEDDING MODEL FOR QUERY REFORMULATION IN AD-HOC BIOMEDICAL INFORMATION RETRIEVAL
Authors: P. Bhopale Bhopale , Tiwari Ashish
Published: June 2022

This study presents a spark enhanced neural network phrase embedding model to leverage query representation for relevant biomedical literature retrieval. Information retrieval for clinical decision support demands high precision. In recent years, word embeddings have been evolved as a solution to such requirements. It represents vocabulary words in low-dimensional vectors in the context of their similar words; however, it is inadequate to deal with semantic phrases or multi-word units. Learning vector embeddings for phrases by maintaining word meanings is a challenging task. This study proposes a scalable phrase embedding technique to embed multi-word units into vector representations using a state-of-the-art word embedding technique, keeping both word and phrase in the same vectors space. It will enhance the effectiveness and efficiency of query language models by expanding unseen query terms and phrases for the semantically associated query terms. Embedding vectors are evaluated via a query expansion technique for ad-hoc retrieval task over two benchmark corpora viz. TREC-CDS 2014 collection with 733,138 PubMed articles and OHSUMED corpus having 348,566 articles collected from a Medline database. The results show that the proposed technique has significantly outperformed other state-of-the-art retrieval techniques
VIDEO POPULARITY PREDICTION USING STACKED BILSTM LAYERS
Authors: Sangwan Neeti , Bhatnagar Vishal
Published: June 2022

Social media is now not only limited to being a life event sharing platform, but it also has evolved as a monetary medium. Advertisements showing on popular videos may result in more sales conversion. So it is of utmost interest to predict the popularity of videos before uploading it on the platform. In this research article, we propose a deep learning algorithm to predict the popularity of YouTube videos. With the content and temporal features of the YouTube videos dataset, we use a novel stack of deep learning layers. We validate the approach with state-of-the-art methods and prove that the proposed complex stacked architecture gives more accurate and stable results. Results are also tested for short duration prediction with a different number of reference days after video publishing.
ENCRYPTION AND DATA INSERTION TECHNIQUE USING REGION DIVISION AND HISTOGRAM MANIPULATION
Authors: Ito Ryoma , Wong KokSheik , Ong Simying , Tanaka Kiyoshi
Published: June 2022

Traditionally, encryption is applied to mask the semantic of a content, while data insertion adds data to a content for management purpose. In this work, a joint encryption and data insertion method is proposed. The input image is divided into 2 parts, where the first part is manipulated to mask the perceptual semantics, while the second part is processed to hide data. The binary image, which is the data to be inserted, further divides the second part of the input image into 2 regions, one being the ‘zero’ region and the other being the ‘one’ region. Pixels of the original image at position coinciding with the ‘zero’ region are darken, while those coinciding with the ‘one’ region are brightened. The darkening and brightening processes are performed by using histogram matching technique. Furthermore, two techniques are introduced to improve robustness of the inserted binary image against basic image processing operations. The proposed joint method allows the inserted binary image to be extracted directly from the masked image or from the reconstructed image. The proposed method is also commutative because the same result is achieved irregardless of the order of processing in encrypting and inserting data.
FEATURE SELECTION AND CLASSIFICATION INTEGRATED METHOD FOR IDENTIFYING CITED TEXT SPANS FOR CITANCES ON IMBALANCED DATA
Authors: Yeh Jen-Yuan , Tsai Cheng-Jung , Hsu Tien-Yu , Lin Jung-Yi , Cheng Pei-Cheng
Published: June 2022

Recent studies in scientific paper summarization have explored a new form of structured summary for a reference paper by grouping all cited and citing sentences together by facet. This involves three main tasks: (1) identifying cited text spans for citances (i.e., citing sentences), (2) classifying their discourse facets, and (3) generating a structured summary from the cited text spans and citances. This paper focuses on the first task, and approaches the task as binary classification to distinguish relevant pairs of citances and reference sentences from irrelevant pairs. We propose a new method that integrates feature selection and classification techniques to enhance classification performance. The proposed method investigates combinations of six feature selection methods (χ2-Statistics, Information Gain, Gain Ratio, Relief-F, Significance Attribute Evaluation, and Symmetrical Uncertainty), and five classification algorithms (k-Nearest Neighbors, Decision Tree, Support Vector Machine, Naïve Bayes, and Random Forest). Additionally, to address imbalanced data during training, we apply SMOTE (Synthetic Minority Over-sampling Technique) to introduce synthetic biases towards the minority. Experiments are conducted using the CL-SciSumm corpora to compare the effect of feature selection applied to classification. The results reveal the benefits of feature selection in significantly boosting performance of F1 score metric, and show that our method is competitive to the state-of-the-art methods in the CL-SciSumm evaluations.
A NEW MODEL OF PARALLEL PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SOLVING NUMERICAL PROBLEMS
Authors: Pirozmand Poria , Alrezaamiri Hamidreza , Ebrahimnejad Ali , Motameni Homayun
Published: June 2022

Evolutionary algorithms are suitable methods for solving complex problems. Many changes have thus been made on their original structures in order to obtain more desirable solutions. Parallelization is a suitable technique to decrease the runtime of the algorithm, and therefore, to obtain solutions with higher quality. In this paper, a new algorithm is proposed with two approaches, which is based on a parallelization technique with shared memory architecture. In the proposed algorithm, the search space is firstly decomposed into multiple equal and independent subspaces. Then, a subtask is performed on each subspace simultaneously in a parallel manner which leads to providing more qualified solutions. Splitting the search space into smaller subspaces causes the algorithm to find optimal solutions in each region in an easier way. The algorithm RAPSO is improved with applying a new acceleration coefficient which has been named IRAPSO. In the proposed algorithm, the IRAPSO is used as the subtask. For the sake of testing the proposed algorithm, fourteen well-known benchmarks of numerical optimizing problems are inspected. Then, the proposed algorithm is compared with algorithms PPBO and PSOPSO that were both based on the island model. The results of the proposed algorithm are much better than those of the other two algorithms.