bluuebunny/crossref_metadata_2025 huggingface dataset:
LTBP1 Gene Expression in the Cerebral Cortex and its Neuroprotective
Mechanism in Mice with Postischemic Stroke Epilepsy
Authors: Li Hui , Liu Bo , Wang Yan , He Dongruo , Han Guochao , Wang Hao , Lin Yuan , Zhang Tianyu , Yi Chao
Published: June 2022

Objective:

This study aimed at exploring the expression level of LTBP1 in the mouse model of epilepsy. The mechanism of LTBP1 in epileptic cerebral neural stem cells was deeply investigated to control the occurrence of epilepsy with neuroprotection.

Methods:

qRT-PCR was conducted for the expression levels of LTBP1 in clinical human epileptic tissues and neural stem cells as well as normal cerebral tissues and neural stem cells. The mouse model of Postischemic stroke epilepsy (PSE) was established by the middle cerebral artery occlusion (MCAO). Then, qRT-PCR was conducted again for the expression levels of LTBP1 in mouse epileptic tissues and neural stem cells as well as normal cerebral tissues and neural stem cells. The activation and inhibitory vectors of LTBP1 were constructed to detect the effects of LTBP1 on the proliferation of cerebral neural stem cells in the PSE model combined with CCK-8. Finally, Western blot was conducted for the specific mechanism of LTBP1 affecting the development of epileptic cells.

Results:

Racine score and epilepsy index of 15 mice showed epilepsy symptoms after the determination with MCAO, showing a successful establishment of the PSE model. LTBP1 expression in both diseased epileptic tissues and cells was higher than those in normal clinical epileptic tissues and cells. Meanwhile, qRT-PCR showed higher LTBP1 expression in both mouse epileptic tissues and their neural stem cells compared with those in normal tissues and cells. CCK-8 showed that the activation of LTBP1 stimulated the increased proliferative capacity of epileptic cells, while the inhibition of LTBP1 expression controlled the proliferation of epileptic cells. Western blot showed an elevated expression of TGFβ/SMAD signaling pathway-associated protein SMAD1/5/8 after activating LTBP1. The expression of molecular MMP-13 associated with the occurrence of inflammation was also activated.

Conclusion:

LTBP1 can affect the changes in inflammation-related pathways by activating TGFβ/SMAD signaling pathway, stimulate the development of epilepsy, and the inhibition of LTBP1 expression can control the occurrence of epilepsy, with neuroprotection.
Green Synthesized Nanomaterials for Safe Technology in Sustainable
Agriculture
Authors: Singh Nakshatra Bahadur , Chaudhary Ratiram Gomaji , Desimone Martin Federico , Agrawal Anupam , Shukla Saroj K.
Published: June 2022

Nanotechnology is a new emerging cutting-edge technology in the 21st century and has applications in medical, cosmetics, electronics, energy, food, agriculture, and many sectors. Nanomaterials (NMs) are the main component of nanotechnology. NMs prepared by chemical routes are very hazardous and not safe for life. Therefore, attempts are being made to prepare NMs via different green routes. It is expected that nanotechnology using green synthesized NMs will be safe. At the same time, green synthesized nanomaterials will be cost effective. In this chapter, the applications of green synthesized NMs in agriculture have been discussed in detail.
Development of Photographic Food Atlas of Carbohydrate Servings of
Banana Varieties Consumed in Enugu State for Dietary Counselling of
Diabetic Patients
Authors: Maduforo Aloysius Nwabugo , Ngwu Elizabeth Kanayo , Ndiokwelu Chika , Chikwendu Justina Ndirika , Okoro Clementina Ebere
Published: June 2022

Background and Objectives:

Intake of fruits as snacks for diabetic patients is usually
encouraged, but there is the challenge of overconsumption and the inability to estimate the appropriate
quantity to eat at a time. A photographic food atlas of three banana varieties (red
Dacca, Gros Michel, and green mutant species) consumed in Enugu state, Nigeria, was developed
using edible portions of foods that would supply a specific amount of carbohydrates (10g,
15g, 20g, 30g, and 45g) and their energy content was also calculated.

Methods:

The banana varieties were obtained from banana vendors in Nsukka local markets. The
samples were analyzed for proximate (moisture, protein, carbohydrates, ash, fat, and crude fibre)
composition using standard methods. The energy content was calculated using Atwater factors
for carbohydrates, fats, and protein. Standardized photographs of each carbohydrate portion size
(10g, 15g, 20g, 30g, and 45g) of the selected banana variety were captured, and their weights
were recorded. The photographs were formatted on A4 size paper, with each page containing 5
photographs.

Results:

Red dacca had the highest (19.5g/100g) carbohydrate content which is the least
(12.3g/100g) in the green mutant. The carbohydrate contents of red dacca and gros Michel species
are comparable (p > 0.05) but significantly (p < 0.05) lower in green mutant species. Energy
is highest (125 kcal/100g) in green mutant and least (95 kcal/100g) in gros Michel. The photographic
food atlas developed contains 15 photographs of three banana varieties.

Conclusion:

This study developed a veritable visual aid for dietary counselling of diabetic
patients. The tool is suitable for estimating portion sizes of banana, their carbohydrate and energy
content.
FAMILIA MELASTOMATACEAE
Authors:   Institute for Biodiversity Science & Sustainability, Department of Botany, California Academy of Sciences, Almeda Frank
Published: June 2022

Familia de relativamente escasa importancia económica. Algunas especies se cultivan con fines ornamentales; otras tienen frutos comestibles, pero en general no muy apetecidos; los troncos de varias de las más robustas son maderables. Los caracteres usados en la clave artificial de géneros son válidos solamente para el área de estudio; la clave no es aplicable para todas las especies de estos géneros. La familia comprende de 185 a 190 géneros y aproximadamente 5000 especies mayormente de distribución pantropical, de las que dos terceras partes están restringidas al Hemisferio Occidental, pero no hay ningún género común al Nuevo y Viejo Mundo.
FAMIILIA HYMENOPHYLLACEAE
Authors:   Universidad Autónoma Metropolitana, Unidad Iztapalapa, Pacheco Leticia
Published: June 2022

Familia con aproximadamente 600 especies de distribución principalmente pantropical, con unas pocas extendiéndose a las regiones templadas. Para esta Flora se adopta un criterio conservador y tradicional, reconociendo sólo dos géneros, pero el número de acuerdo con diferentes autores varía, siendo hasta de 42. Hymenophyllum es un género con aproximadamente 300 especies, del Viejo y Nuevo Mundo. Son plantas de ambientes muy húmedos y sombríos. Para el área de estudio sólo se registra Hymenophyllum tunbridgense. Trichomanes es un género con aproximadamente 300 especies, en los trópicos y subtrópicos del mundo. Son plantas generalmente epífitas, aunque también se les puede encontrar como terrestres y epipétricas de lugares muy húmedos y oscuros. En el área de estudio sólo se encuentra Trichomanes radicans. Díaz Barriga y Palacios-Rios (op. cit.) citan para el estado de Michoacán a Trichomanes pinnatum Hedw., con base en la colecta E. Langlassé 672, sin localidad precisa, de acuerdo con las mencionadas autoras. Sin embargo, según la información proporcionada por McVaugh*, dicho ejemplar fue recolectado en el Cerro Mamegal, en el estado de Guerrero.
FAMILIA CARICACEAE
Authors:   Instituto de Ecología, A.C., Centro regional del Bajío, Calderón de Rzedowski Graciela , Lomelí Sención José Aquileo ,   Universidad Autónoma de Guadalajara
Published: June 2022

Familia de unos cuatro géneros de zonas tropicales, uno de ellos es africano y los demás de América. El número de especies varía entre 30 y 60 según diferentes autores. Algunas plantas pertenecientes a esta familia tienen frutos y/o partes subterráneas comestibles. El látex de varias contiene enzimas proteolíticas de interés industrial. En la zona de esta Flora se reconocen dos géneros: Carica y Jarilla.
FAMILIA SYMPLOCACEAE
Authors:   Instituto de Ecología, A.C., Centro regional del Bajío, Díaz-Barriga Horalia
Published: June 2022

Familia de un solo género (Symplocos), que se distribuye en las regiones tropicales de Asia y América, particularmente diversa en habitats montañosos y escasamente representada en zonas áridas. Symplocos es un género con unas 300 especies, de México se conocen unas 12, de las que en el área de estudio se ha encontrado una (Symplocos citrea Lex.). En Sudámerica las hojas de algunas especies se usan para hacer té, el cual es muy apreciado como tónico estomacal.
FAMILIA ARALIACEAE
Authors:   Herbario Metropolitano UAMIZ Depto. Biología, División Ciencias Biológicas y de la Salud Universidad Autónoma Metropolitana Iztapalapa, López Ferrari Ana Rosa
Published: June 2022

Familia con aproximadamente 70 géneros y 700 especies, ampliamente distribuidos en regiones tropicales, algunos en zonas templadas. Los dos grandes centros de diversidad de la familia son la región Indomalaya y América tropical. En México están representados cinco géneros silvestres (Aralia, Dendropanax, Didymopanax, Oreopanax y Sciadodendron) y numerosos géneros cultivados, estos últimos con fines de ornato principalmente. Algunos de los géneros cultivados más importantes son: Aralia, Hedera, Panax, Polyscias, Schefflera y Tetrapanax.
FAMILIA BIGNONIACEAE
Authors:   Instituto de Ecología, A.C., Centro Regional del Bajío, Rzedowski Jerzy , Calderón de Rzedowski Graciela ,   Instituto de Ecología, A.C., Centro Regional del Bajío
Published: June 2022

Familia de más de 100 géneros y unas 800 especies, de distribución pantropical. Varias son importantes como plantas ornamentales, en particular en el área de estudio se cultivan con frecuencia la “jacaranda” (Jacaranda mimosifolia D. Don), el “tulipán africano” (Spathodea campanulata Beauv.), el “jazmín” o “San Pedrito” (Podranea ricasoliana (Tanf.) Sprague) y la “trompetilla grande” (Distictis buccinatoria (DC.) A. H. Gentry). La madera de algunos de los árboles es de alta calidad, como es el caso de la “primavera” (Tabebuia donnell-smithii Rose) y de otros representantes de Tabebuia. La gran mayoría de las especies mexicanas de esta familia son plantas francamente termófilas, distribuyéndose a lo largo de la tierra caliente de ambas vertientes del territorio del país, aunque una, la más común, es frecuente prácticamente en toda la República. En la región de esta Flora se han encontrado once especies, pertenecientes a otros tantos géneros.
Trend analysis of domestic forest healing research
Authors:   Department of Naturalpathy, Dongbang Culture University, Seoul, South Korea, Cheong Mee Sook , Ji Hyun Mi ,   Department of Natural Forest Healing Welfare, Dongbang Culture University, Seoul, South Korea
Published: June 2022

This paper analyzes trends in forest healing studies based on the published graduates’ theses and domestic journals in Korea from January 1, 2006, to June 30, 2021. The results of the study will provide data for forest healing researchers. According to the research results, research related to forest healing in Korea has been steadily increasing since the early 2000s, and from 2020, most works are being actively performed. The gender ratio of researchers was 5.4% higher in females than males in the case of degree dissertations and 25.0% higher in males than females in the case of journals. In terms of publication type, the highest number of journals was 184 articles (61.3%), followed by master's thesis with 82 articles (27.3%) and doctoral dissertation with 34 articles (11.3%). In terms of research methods, most of the papers (77.3%) are quantitative studies. When the study subjects were classified into the general group, occupational group, disease group, and social target, the general group for the purpose of prevention were the most with 78 articles (61.9%). The topics of the papers related to forest healing were in the order of analysis of the effects of forest healing programs, development of forest healing programs, and forest healing facilities. At a time when more attention is being paid to forests, which are places of healing due to the COVID-19 pandemic, it becomes basic data for forest healing researchers through objective data analysis of domestic forest healing. When analyzing domestic and foreign trends in the future, if you analyze paradigm changes and trends in various media, such as news as well as YouTube videos, using big data-related technologies that have been used in recent research papers, broader insights can be provided.
Ageism and Artificial Intelligence: Protocol for a Scoping Review
Authors: Chu Charlene H , Leslie Kathleen , Shi Jiamin , Nyrup Rune , Bianchi Andria , Khan Shehroz S , Rahimi Samira Abbasgholizadeh , Lyn Alexandra , Grenier Amanda
Published: June 2022

Background

Artificial intelligence (AI) has emerged as a major driver of technological development in the 21st century, yet little attention has been paid to algorithmic biases toward older adults.

Objective

This paper documents the search strategy and process for a scoping review exploring how age-related bias is encoded or amplified in AI systems as well as the corresponding legal and ethical implications.

Methods

The scoping review follows a 6-stage methodology framework developed by Arksey and O’Malley. The search strategy has been established in 6 databases. We will investigate the legal implications of ageism in AI by searching grey literature databases, targeted websites, and popular search engines and using an iterative search strategy. Studies meet the inclusion criteria if they are in English, peer-reviewed, available electronically in full text, and meet one of the following two additional criteria: (1) include “bias” related to AI in any application (eg, facial recognition) and (2) discuss bias related to the concept of old age or ageism. At least two reviewers will independently conduct the title, abstract, and full-text screening. Search results will be reported using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guideline. We will chart data on a structured form and conduct a thematic analysis to highlight the societal, legal, and ethical implications reported in the literature.

Results

The database searches resulted in 7595 records when the searches were piloted in November 2021. The scoping review will be completed by December 2022.

Conclusions

The findings will provide interdisciplinary insights into the extent of age-related bias in AI systems. The results will contribute foundational knowledge that can encourage multisectoral cooperation to ensure that AI is developed and deployed in a manner consistent with ethical values and human rights legislation as it relates to an older and aging population. We will publish the review findings in peer-reviewed journals and disseminate the key results with stakeholders via workshops and webinars.

Trial Registration

OSF Registries AMG5P; https://osf.io/amg5p

International Registered Report Identifier (IRRID)

DERR1-10.2196/33211
General Demographics and Behavioral Patterns of Visitors Using a Self-help Website for Identification of and Intervention in Alcoholism and Common Mental Disorders in Suriname: Descriptive Study
Authors: Jadnanansing Raj , Dekker Jack , Etwaroo Kajal , Dwarkasing Rudi , Lumsden Vincent , Bipat Robbert , Blankers Matthijs
Published: June 2022

Background

Digital health applications have been shown to be an accepted means to provide mental health information and advice in various high- and middle-income countries. Started in 2015, ehealth.sr was the first website to offer preventive information, self-tests, and unguided digital self-help for depression, anxiety symptoms, and problematic alcohol use in Suriname, an upper middle-income country in South America.

Objective

This study aimed to assess the general demographics and behavioral patterns of the visitors of ehealth.sr, as well as to evaluate different promotional channels to attract the target audience to the website.

Methods

Data collection for this study took place between August 2015 and December 2020. Conventional promotion channels such as newspaper and radio advertisements as well as social media advertisements were used to attract users to the website. The number of visits and activity on the website was registered using Google analytics and the website’s internal activity log.

Results

On average, about 115 unique visitors accessed the website per month. The average number of visits to the website increased notably when social media advertisement campaigns were conducted (266 per month in 2018) compared to when traditional advertisements campaigns through papers, radio, and television were used (34 per month in 2019). Of the 1908 new visitors, 1418 (74.32%) were female. On average, visitors accessed 2 (SD 0.3) pages of the website and a session lasted 2.6 (SD 0.9) minutes. The most popular pages for intervention on the website were those for the mood or anxiety screening (731/942, 77.6%) as opposed to those for alcohol screening (211/942, 22.4%). People aged <45 years (on average, 2.2 pages per session for 3.2 minutes) made more use of the website than people aged ≥45 years (on average, 1.7 pages per session for 2 minutes).

Conclusions

Promotion via social media led to more visitors to the website than newspaper or radio advertisements. Younger age groups and females visited the website more often. The pages on preventive information and brief self-tests were visited more frequently than the self-help modules. In general, user adherence to the website in terms of the average session duration and number of viewed pages per session is low and is a key point of concern for the successful implementation of digital mental health websites.
Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course
Authors: Mulder Skander Tahar , Omidvari Amir-Houshang , Rueten-Budde Anja J , Huang Pei-Hua , Kim Ki-Hun , Bais Babette , Rousian Melek , Hai Rihan , Akgun Can , van Lennep Jeanine Roeters , Willemsen Sten , Rijnbeek Peter R , Tax David MJ , Reinders Marcel , Boersma Eric , Rizopoulos Dimitris , Visch Valentijn , Steegers-Theunissen Régine
Published: June 2022

A digital twin (DT), originally defined as a virtual representation of a physical asset, system, or process, is a new concept in health care. A DT in health care is not a single technology but a domain-adapted multimodal modeling approach incorporating the acquisition, management, analysis, prediction, and interpretation of data, aiming to improve medical decision-making. However, there are many challenges and barriers that must be overcome before a DT can be used in health care. In this viewpoint paper, we build on the current literature, address these challenges, and describe a dynamic DT in health care for optimizing individual patient health care journeys, specifically for women at risk for cardiovascular complications in the preconception and pregnancy periods and across the life course. We describe how we can commit multiple domains to developing this DT. With our cross-domain definition of the DT, we aim to define future goals, trade-offs, and methods that will guide the development of the dynamic DT and implementation strategies in health care.
An Investigation of Virtual Reality Nature Experiences in Patients With Metastatic Breast Cancer: Secondary Analysis of a Randomized Controlled Trial
Authors: Chin Stanley , Cavadino Alana , Akroyd Amelia , Tennant Geraldine , Dobson Rosie , Gautier Adele , Reynolds Lisa
Published: June 2022

Background

Connection with nature has well-established physical and psychological benefits. However, women with metastatic breast cancer (MBC) are often unable to access nature because of physical limitations, psychological barriers, and treatment demands. Virtual reality (VR) nature experiences offer an alternative means of connecting with nature and may be of particular benefit to patients with cancer who are house- or hospital-bound.

Objective

This study aims to explore whether VR nature experiences are associated with physical and psychological benefits for women with MBC who are disconnected with nature.

Methods

This secondary analysis of a previous randomized controlled crossover trial recruited participants from the emailing lists of breast cancer support organizations. Participants were provided VR headsets for daily use in their homes for over 3 weeks. In the first week, participants used 1 of 2 VR nature experiences (Ripple or Happy Place) daily, followed by a 1-week washout period, before using the other VR experience every day for the final week. Outcomes assessed changes between baseline and postintervention scores in quality of life (EQ-5D-5L), pain (Brief Pain Inventory Short Form), fatigue (Functional Assessment of Chronic Illness Therapy-fatigue), depression (Depression, Anxiety, and Stress Scale-depression), anxiety (Depression, Anxiety, and Stress Scale-anxiety), and spiritual well-being (Functional Assessment of Chronic Illness Therapy- Spiritual Well-being) and investigated whether benefits were greater in participants who were not strongly connected with nature at baseline.

Results

A total of 38 women with MBC completed the VR interventions and were included in the analyses. Participants reported significantly less fatigue (P=.001), less depression (P<.001), and greater quality of life (P=.02) following the interventions than at baseline. Women with a weaker connection to nature reported greater fatigue (P=.03), depression (P=.006), and anxiety (P=.001), and poorer spirituality (P=.004) than their strongly connected counterparts. Only those with a weaker baseline connection with nature showed improvements in depression following the intervention (P=.03), with similar trends observed in fatigue (P=.07) and quality of life (P=.10).

Conclusions

This study provides preliminary evidence that feeling connected with nature is associated with better physical and psychological status in patients with MBC and that VR nature interventions might be beneficial for this clinical population. Future studies should focus on activities that encourage connection with nature (rather than simply exposure to nature) and investigate the aspects of VR nature interventions that have the greatest therapeutic potential.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12619001480178; https://tinyurl.com/et6z3vac
Application of quantitative bias analysis for unmeasured confounding in cost–effectiveness modelling
Authors: Leahy Thomas P , Duffield Stephen , Kent Seamus , Sammon Cormac , Tzelis Dimitris , Ray Joshua , Groenwold Rolf HH , Gomes Manuel , Ramagopalan Sreeram , Grieve Richard
Published: June 2022

Due to uncertainty regarding the potential impact of unmeasured confounding, health technology assessment (HTA) agencies often disregard evidence from nonrandomized studies when considering new technologies. Quantitative bias analysis (QBA) methods provide a means to quantify this uncertainty but have not been widely used in the HTA setting, particularly in the context of cost–effectiveness modelling (CEM). This study demonstrated the application of an aggregate and patient-level QBA approach to quantify and adjust for unmeasured confounding in a simulated nonrandomized comparison of survival outcomes. Application of the QBA output within a CEM through deterministic and probabilistic sensitivity analyses and under different scenarios of knowledge of an unmeasured confounder demonstrates the potential value of QBA in HTA.
“El dios sin cara que hay detrás de los dioses”
Authors: González Mac-Conell Felipe
Published: June 2022

It is proposed to elucidate the forms of representation that the mystical experience has in three stories by Jorge Luis Borges. For this and considering that the representation of the mystical presents an intrinsic problem to the experience, I will analyze the language and the symbolism of the stories. My research question is: How is the mystical experience represented in Borges's work, both in its obtaining (mystical rapture) and in its possible consequences for those who live it? The hypothesis that will guide me to answer it will be that in these aspects of the stories the mystical experience is configured with differences and nuances between them, which exposes a broad and deep vision of the phenomenon.
Acinetobacter quorum sensing contributes to inflammation-induced inhibition of orthopaedic implant osseointegration
Authors:   Department of Orthopaedic Surgery, Indiana University School of Medicine, Medical Sciences Building, Room 371, 635 Barnhill Drive, Indianapolis, IN, 46202, USA E-mail: egreenf at iu.edu, Choe H , Hausman BS , Hujer KM , Akkus O , Rather PN , Lee Z , Bonomo RA , Greenfield EM
Published: June 2022

Implant infection impairs osseointegration of orthopaedic implants by inducing inflammation. Acinetobacter spp. are increasingly prevalent multi-drug resistant bacteria that can cause osteomyelitis. Acinetobacter spp. can also cause inflammation and thereby inhibit osseointegration in mice. The purpose of the present study was to investigate the role of quorum sensing in this context. Therefore, wild-type bacteria were compared with an isogenic abaI mutant defective in quorum sensing in a murine osseointegration model. The abaI quorum- sensing mutant affected significantly less osseointegration and interleukin (IL) 1β levels, without detectably altering other pro-inflammatory cytokines. Wild-type bacteria had fewer effects on IL1 receptor (IL1R)−/− mice. These results indicated that quorum sensing in Acinetobacter spp. contributed to IL1β induction and the resultant inhibition of osseointegration in mice. Moreover, targeting the Gram-negative acyl-homoserine lactone quorum sensing may be particularly effective for patients with Acinetobacter spp. infections.
Online Examination System Using Java
Authors: Chhajed Yash , Kaldate Tanmay , Landge Akshay , Ekshinge Yash
Published: June 2022

Abstract: MCQ based Online Examination System using java is a Test Management Software, which offers a complete solution for Computer Based Test (CBT) .They are used to set up multiple choice tests for set time periods that when submitted are automatically corrected and the results are displayed immediately after submitting the
Design and Fabrication of Pedal Power Washing Machine
Authors: Waghmare Dr. Atul C. , Sadmal Sahil , Jain Hardik , Sakarde Chetan , Kosare Yogesh , Meshram Prakash , Khandekar Rajat
Published: June 2022

Abstract: Pedal Powered Clothes Washer is a low cost machine made up of easily and readily available scrap parts in daily life. It is a machine which generates power through human pedaling and with the drive mechanism, converts the pedaling motion into required rotary motion of the washing drum. Its innovation lies in its simple design, use of inexpensive parts, very low repairing and maintenance cost, affordability to each member of the society and it does not affect the environment. Our team intends to directly address the problems faced in washing clothes, and thus have developed a new design for easy effort in washing, rinsing and drying clothes. The Pedal Powered Clothes Washer is a completely new concept, which in its one laundry cycle does washing, rinsing and drying of clothes similar to that of an automatic washing machine available in the market
A Review on IoT Based Health Monitoring System
Authors: Badole Mr. Mayur
Published: June 2022

Abstract: Today, heart disease is considered one of the leading causes of untimely death. Thus, engineers have developed a variety of therapeutic devices to diagnose and evaluate various diseases. Health care has become one of the most important issues for both individuals and governments due to rapid population growth and medical costs. Many patients suffer from cardiovascular complications that cause serious threats to their health, so they need constant monitoring with a traditional monitoring system such as Electrocardiographic (ECG) which is a very important method used to measure cardiac output, this procedure is available only for the most expensive and remote hospital for remote patients. The development of wireless technology enables the construction of a network of Internet-connected devices. The proposed ECG monitoring system consists of the AD8382 ECG sensor for reading patient data, the ESP8266 Wi-Fi control module, and the IoT Blynk application. The implementation of the proposed ECG health care system enables the physician to monitor the patient remotely using the IoT Blynk program installed on his smartphone to monitor and visualize the patient's ECG signal. The monitoring procedure can be performed anytime and anywhere without the need for a hospital. Keywords: ECG, IoT, AD8232, Arduino Uno, ESP8266, Blynk.
Physiochemical and Microbial Analysis of Wastewater from Food Industry Effluent near Kuthrel area, Durg District, Chhattisgarh
Authors: Sahu Shashi , Dani Aman Dev , . Pragati , Shrivas Ranjani , Kumar Yogesh
Published: June 2022

Abstract: Physiochemical analysis of waste water effluent of food industry has been an intriguing subject in recent years because of issues related to water pollution. Industrial effluent discharge act as one of the major factor that contributes water pollution. Since literatures mentioning physiochemical profile of food industries effluent from Chhattisgarh origin were few. The present study intends to study physico-chemical parameters and microbial analysis of waste water of food industry effluent near kuthrel area from durg district. Results revealed slightly basic nature of the effluent. Value of Dissolved Oxygen (DO) was low whereas, high TDS and COD values were observed suggesting high amount of organic matter present in the effluent. BOD level was under the standard discharge range according to Central Pollution Control Board (CPCB). However microbial analysis of effluent indicated high microbial population with gram negative bacteria and some fungal species which suggests that the effluent must need more adequate and proper treatment before its discharge to reduce microbial load so as to prevent contamination of water bodies into which the effluent might get discharged. Keywords: Effluent, food industry, physiochemical parameters, microbial analysis, rural area
IoT Based Automated Entry System for Covid Prevention: A Review
Authors: Nayak Smita , Srinivasan Sudarshan , Padiya Abhishek , Kadge Prof. Sushma
Published: June 2022

Abstract: Since the onset of Covid-19 pandemic, a disease caused by SARS-CoV-2, there has been a significant rise in the research and development for various technologies for the prevention of the pandemic from spreading further. Many technologies like Face Mask Recognition, Facial Recognition, Non-Contact Temperature Measurement, Non-Contact SPO2 measurement systems have been developed with significant quality and efficiency. This paper discusses the results of some of the research done in the same field. Keywords: Facial recognition, Mask Detection, Temperature Measurement, Deep Learning, Convolutional Neural Networks, Sanitizer system, SPO2 measurement, Image Processing.
A Survey on Real Time Sentiment Analysis Based on Social Media Mining
Authors: Vagadiya Avani , Patel Sapna
Published: June 2022

Abstract: Social media is a platform where people from any corner of the world share their opinions with each other. Thus current era is called as social media era. Social networking sitessuch as Facebook and Twitter plays an important role in information retrieval and web data analysis. In a survey it is found that Twitter produces more than 500 million of tweets each day which is about 8 TB of data which can be mined and sentiments analysis can be carried out. The purpose of mining and exacting opinions is todiscover and categorize the positive and negative sentiments of society. So as there is a huge repository of data, clustering is efficient and quickway to study people’s expression and get aconclusion. This paper surveys the different mining techniques to carry out opinions and sentiments analysis and represent it to the bestway based on subjectivity and polarity. Keyword: Social Media, Opinion Mining, Sentiments Analysis, Clustering, Expressions, Social Networking.
Analysis of Quenching Process Implemented in Automobile Industry and to Learn the Factors Affecting the Microstructure and Resulting Hardness
Authors: Sapkal Sanket
Published: June 2022

Abstract: Quenching is the rapid cooling of a workpiece air to obtain certain material properties. A type of heat treating, quenching prevents undesired low-temperature processes, such as phase transformations. It is done by reducing the window of time during which these reactions are both thermodynamically favourable, and kinetically accessible; for instance, quenching can reduce the crystal grain size of both metallic and plastic materials, increasing their hardness. The process of quenching is a progression, beginning with heating the sample. Most materials are heated to between 815 and 900 °C (1,500 to 1,650 °F), with careful attention paid to keeping temperatures throughout the workpiece uniform. Minimizing uneven heating and overheating is important to obtain desired material properties. The primary goal of this project was to study the different martensitic structures after quenching process and its resulting hardness. In most of the automobile industries Vickers Hardness is checked for the Hardness test. In order to obtain optimum hardness, the respective BIW part should be properly Heat treated. If heat treatment is not done properly then it results in lowering the resulting hardness of the quenched part. Industry tries not only to achieve Martensitic microstructure but also great strength to the part with optimum hardness.
Reduction of Non-Value-Added Activities in An Aerospace Industry Using Value Stream Mapping and Time Study
Authors: Damacharla Nagamalleswara Rao , Prasad Dr. B Guru , Reddy Dr. A. Sreenivasulu
Published: June 2022

Abstract: The industry was having lesser productivity than the required due to the presence of certain ‘non-value added’ activities. Hence, the requirement was to improve productivity by means of cost reduction and rationalisation of manpower. Since the main purpose was to eliminate any process that does not add value to the final output. To reduce the waste, the lean manufacturing is the best choice among the available techniques. The Value Stream Mapping (VSM) is one of the major components in lean manufacturing techniques. This helps in identifying the major opportunities for performance improvement in the assembly line of the aerospace industry. The Value Stream Mapping was developed in the required assembly lines of the aerospace industry. The Value Stream Mapping was used for other techniques like Time-Study, 5s implementation and skill based line balancing at the required workstations. Time-Study was conducted at the bottleneck workstations. The results were analysed by categorising them as value added (VA) and non-value added (NVA) components. This has benefited in identifying waste in the assembly line. The activities which were not adding value to the final product were eliminated and compared with previous results. Keywords: Value Stream Mapping, Lean manufacturing, Time-Study, 5s, Productivity
A Review of Failure Analysis of Different Part of Electric Overhead Traveling Crane
Authors: Khambalka Vicky , Handa Chandrahas , Ninawe Abhinav
Published: June 2022

Abstract: This review paper gives the discrimination of various failure analysis accomplish to find Crane hook, Rope, Rope Drum, Coupling, Gear and Motor Shaft failure. These are very significant parts of EOT crane used for lifting, lowering and move with the help of links or rope and highly liable component which are always subjected to failure due to amount of stress, dynamic and statistic load concentrations which can lead to its failure. To minimize the failure of different part of EOT Crane by Using safe design with appropriate manufacturing processes and obstructive mechanical maintenance techniques. Failure of any parts of crane causes the unneeded shutdown and its lead to heavy loss. The main aim of this paper is to study various component of EOT crane failure analysis and finding out root cause failure of different parts of crane. Through this paper various literature have been comprehensively compared to get Crane hook, Rope, Rope Drum, Coupling, Gear and Motor Shaft failure analysis. Keywords: Crane hook, Rope, Rope Drum, Coupling, Gear and Motor Shaft, Stress, EOT Crane, techniques, etc.
Performance Analysis of Machine Learning Algorithms using Fake News Detection
Authors: M Dr. Senthil Kumar , S Mr. Sakthivel , M Mr. Sasitharan , M Mr. Shakir Ahamed
Published: June 2022

Abstract: Machine learning has vast algorithms in which each and everything is specialized to predict and compute certain functionalities and tasks. A neural network is a collection of neurons in which every neuron holds a numerical value as the output of other neurons. Furthermore, neural networks are classified more as regular neural networks, convolutional neural networks, feed-forward neural networks, and long-term memory networks. Each is specialized in unique scenarios, such as regular neural networks work better in position-based image detection and convolutional neural networks work better in edgebased detection. Therefore, this paper bases the comparison of different algorithms on a base prediction problem, which is fake news detection. This project displays various performance metrics such as accuracy score and various visualization plots like scatter, pie, and bar. so that users will know the different algorithms and their scalability on non-relatable text patterns. Keywords: Fake news detection, Machine learning, Naïve bayes Gaussian NB, Classification, Regression, Support Vector Classifier, Decision Tree Classifier.
Comparative Analysis of Cryptographic Hash Algorithms
Authors: B Meena Preethi , M Parameshvar
Published: June 2022

Abstract: Cloud is the on-demand availability for data storage management in large-scale companies and even for government sites where the data should be highly confidential. Here, data security plays an equivalent role to data storage. Cloud security is a collection of security measures that are designed to protect cloud-based infrastructure, data, and applications. The level of cloud security differs based on the type of cloud services. Cloud security protects the cloud environment from several attacks like distributed denial of attack, and malware, and prevents unauthorized user access. A crucial component of cloud security in large-scale organizations and for the government is focused on protecting the business contents like customer details, secret design documents, financial records, etc. Keywords: MD5, SHA12, padding bits, buffers, salt hashes, keyed hashes, adaptive hashes.
Biomedical Waste Management Using Incineration and Autoclave
Authors: B Meena Preethi , B Dharshini , S Gokul
Published: June 2022

Abstract: Sanitarium wastes pose significant public health hazard if not duly managed. Hence, it's necessary to develop and borrow optimal waste management systems in the hospitals. Bio-medical waste (BMW) generated in our nation on a day-to-day base is immense and contains contagious and dangerous accoutrements. With the rise in COVID-19 cases, there are concerns about the disposal of huge amounts of biomedical waste. Tamil Nadu generated 35269.74 kg/per day of COVID-19 ‘bio-medical waste’ between 2020 to 2021. This paper deals on managing the Bio-medical waste (BMW) using Incineration and Autoclaving. Keywords: Bio-medical waste (BMW), World Health Organization (WHO), Tamil Nadu Pollution Control Board (TNPCB), common bio-medical waste treatment and disposal facility (CBMWTF), Incineration, Autoclaving
Comparative Study of Solid and Hollow Laterite Soil Cement Press Brick for Different Proportion
Authors: Patil Suresh D. , Thorawade Samruddhi S.
Published: June 2022

Abstract: Brick is one of the important construction materials in the building. There are so many different types of bricks present in the market, like burnt brick which is the most common brick used in the construction industry. There are so many disadvantages of burnt brick like air pollution, wastage of material, not proper baking, etc. For this brick, laterite soil cement press brick is the best option and can be used effectively in future. In this project the solid and hollow brick of laterite soil cement press brick were formed by varying proportion of fly ash. The tests like compressive strength, water absorption and density were performed and compared for solid and hollow bricks with different proportion. The compressive strength test was performed on compressive testing machine. From this project, it was observed that by decreasing the fly ash content, compressive strength increases. Keywords: laterite soil cement press brick, compressive strength, Fly ash, water absorption
Stock Market Prediction & Analysis
Authors: Gaur Varun , Bhardwaj Sharad , Gaur Utsav , Gupta Sushant
Published: June 2022

Abstract: Stock trading is one of the most essential activities in the financial sector. The act of attempting to anticipate the future value of a stock or other financial instrument is known as stock market prediction. A financial exchange-traded instrument. This document illustrates how Machine Learning is used to predict a stock. The time series analysis or technical and fundamental analysis is used most stockbrokers use when deciding on a stock predictions. To forecast the outcome, the computer language is employed. Python is a stock market that uses machine learning. This paper is about We suggest a Machine Learning (ML) strategy that will be cost-effective. taught from publicly available stock data and intelligence and then applies what they've learned to make an accurate prediction. This work use machine learning in this setting. Support Vector Machine (SVM) is a technology for predicting Stock prices for large and small cap companies, as well as in the three different markets, using daily and weekly pricing Frequencies that are up to date. Keywords: Support Vector Machine, Stock Market, Machine Learning, Predictions
VIBEZY: An AI based IoS Music App
Authors: Rajput Tejas , Chhajed Naman , Bakshi Pratima , Raghav Ishita , Avatade Prof. Mohini
Published: June 2022

Abstract: AI-based Music iOS App is an advanced version of current music apps, with voice & face recognition and it will not only reduce human efforts but also aims at scanning and interpreting the data and accordingly plays music based on facial expression with the additional feature of FM radio. This project is mainly focused on designing user-friendly and developing an effortless application with songs and playlists based on your mood and even visually challenged people can use them freely. Keywords: Music, AI, Android, iOS, Voice Recognition.
Smart Vending Machine
Authors: Deshpande, Omkar , Pande Sughosh , Sure Anusha , Yelwande Sakshi
Published: June 2022

Abstract: Now-a-days vending machines are becoming very popular in western countries because of their ease, less wastage of time and effort, availability near doorstep and variety of products. But in India, vending machines are still not so popular according to the customer's requirement. In this paper, a model of vending machine is proposed which dispenses liquid products by accepting the coin. The model of vending machine is customer friendly with a feature of fake coin detection. This machine is implemented using AVR ATmega16 microcontroller. Various modules of the machine are interfaced with the microcontroller. Coin recognition through CS-616 coin acceptor and IR sensor makes this model simple and inexpensive as compared to the previous work where either currency or tokens were used or difficult techniques like image recognition for detection of coin. Keywords: Atmega16,IR sensor, CS-616 Coin acceptor
Survey on Employee Tracking System
Authors: Pawar Rohit , Chavan Vitthalsing , Ishwari Prof. Raskar
Published: June 2022

Abstract: In this paper, an employee tracking system based on web based operating system was developed. All the activities of the Employee will be monitored using this system. Scheduling information and time off requests are often considered part of personnel tracking; as this information will enable managers know when employees are expected to actually be in the office or other work areas. This system is really very helpful for the managers to monitor their employees through mobile phones. It was implemented using JAVA programming language, and the result was stored in SQLite database. An object-Oriented Analysis and design (OOAD) approach was adopted which consist of a well-planned iterative steps. Data was collected using document analysis and field Methods and the application of relevant analytical methods like bar-charts were used to interpret the facts collected. The developed system was able to increased productivity, reduction of cost, instant access to employee attendance record. Keywords: Android Operating System, Tracking system, Employee, JAVA programming and SQLite database.
Development of Advance Railway Track Crack Detection System using IOT
Authors: Rajderkar Prof. Vedashree , Shende Prajwal , Ramteke Pratik , Humane Sahil
Published: June 2022

Abstract: Rail transport in India is аt the fоrefrоnt оf рrоviding the trаnsроrt infrаstruсture wanted tо meet the desires a quickly expanding economy. India today has the world's fourth largest rail network. Although terms of We have far exceeded international norms in terms of reliability and safety. The most difficult aspect of railway analysis is detecting faults in the structure. whether left unmаnаged, they саn be left аstrаy аnd lоse the proper раth. The рrороsed gadget is suitаble fоr rаil trаnsроrt tо discover сrасks in the trасks in аdvаnсe аnd tо рrevent ассidents. In this рарer tо use the сrасk sensоr, this will be instаlled оn the trаin engine. With this, if а сertаin сrасok is fоund оn the trасok the trаin stаrts tо slоw dоwn аnd stор sоmewhere аutоmаtiсаlly аnd the exасt lосаtiоn оf the сrасokay will be given tо the соntrоl rооm. Seсоndly the fоllоwing саuse оf ассidents is рrevented frоm twо trаins fасing the sаme lаne the use of the sаme sensоrs instаlled оn the engine, while the sensоr heаrs the sаme signаl frоm аnоther trаin аnd аutоmаtiсаlly аррlies the brаkes аnd stорs the trаin аt а сertаin distаnсe. А trаin diversiоn саmakes use of severаl lоsses in trаin ассidents. Keywords: crack detection, railway, IR sensor , IOT module, Arduino Controller etc.
Internet of Things with Smart Contract
Authors: Singh Jaydeep
Published: June 2022

Abstract- Smart contract is an automatic contract with the agreement between two parties, written into few lines of code. Agreements contained live across a distributed, decentralized blockchain network. Code controls the execution and transactions that are tractable and not changed [1]. This are the digital contract stored in block chain and executes automatically when condition meets [1]. IOT is network of physical devices that embedded with different sensors, software for exchanging data over internet [2].this are having advantages in all sectors including medical science, home automation, security etc. [2]. Future is IOT and smart contract technology is bright in near future as all IOT has lot of applications with use of smart contract technology to maintain integrity of data [2]. Keywords – Smart Contract, IOT, blockchain