bluuebunny/crossref_metadata_2025 huggingface dataset:
Ethnopharmacology and Phytochemistry of Selected Species of Boerhavia
Occurring in India: A Review
Authors: Jachak Sanjay M. , Muley Mandar Mahendra , Doshi Shrusti Mahesh , Goyal Alok
Published: July 2022

Background:

The plant species belonging to the genus Boerhavia (Nyctaginaceae) have
been used extensively in ethnomedicine and Ayurveda in India. Rakta punarnava and Sveta punarnava
are two of the species mentioned in various Ayurvedic formulations. Other species of Boerhavia,
though not found in the Indian system of medicine, do hold importance in ethnomedicine systems
in India and other countries.

Objective:

Boerhavia, a polymorphic genus, has been treated as a single genus encompassing species
belonging to a morphologically related genus, Commicarpus. Owing to this taxonomic quandary
with regard to the merger or separation of the two genera by different workers, there are different
reports on the number of species belonging to this genus. This has further resulted in flawed reporting
of ethnomedicinal as well as ethnopharmacological studies. The present review focuses on resolving
any confusion regarding taxonomic treatment and highlighting the ethnomedicinal uses supported
by ethnopharmacological data and the phytochemistry of Boerhavia and Commicarpus species
found in India.

Conclusion:

In India, four species of Boerhavia and two species belonging to Commicarpus are
found. The literature survey revealed that except for B. diffusa, no other species of Boerhavia has
been explored in detail. This presents an opportunity to conduct research on Boerhavia species and
find new phytochemicals with promising therapeutic effects.
Nanogel Development and its Application in Transdermal Drug Delivery System
Authors: Gaikwad Sachin S. , Akalade Nisarga V. , Salunkhe Kishor S.
Published: July 2022

Background:

Nanogels are hydrophilic polymer networks that range in size from 20 to 200 nanometers. Polymer is used to make nanogels, which can be obtained from natural or manu-factured sources. Nanogels can deliver peptides, antigens, carbohydrates, oligonucleotides, proteins, and genes, among other things. These nanogels also provide inorganic materials, such as silver na-noparticles and quantum dots. Both solid and liquid nanogels have the same properties. These nanogels penetrate the stratum corneum more effectively than conventional gels. Dermatology and cosmetology have both experimented with nanoscale technology.

Objective:

The medication can penetrate the stratum corneum through a variety of routes. One of the ways lipids can infiltrate the skin membrane is through the transcellular route. Cream, gel, oint-ment, lotion, thin-film, and foams are among the topical preparations used. Nanogels are catego-rised into two types: those that respond to stimuli and those that cross-link. For the manufacture of nanogels, numerous polymers of synthetic, natural, or semisynthetic origin are commonly em-ployed. Nanoprecipitation, emulsion polymerization, and dispersion polymerization are all ways to make these nanogels. These nanogels are rarely released by diffusion mechanism employing the Fick’s law.

Conclusions:

The nano gel is a new advanced technology that allows to improve drug molecule pen-etration in the stratum corneum. If poorly soluble and permeable medications are administered through this nanogel technology, their solubility and permeability will be improved.
Third Ventricular Colloid Cyst - An Organic Cause of Mania: A
Case Report
Authors: Penubarthi Sravanthi , Sureshkumar Kailash , C Sivabackiya , Pindicura Sundarachalam , Kailash Shabeeba Z
Published: July 2022

Background:

Psychiatric manifestations due to space-occupying lesions, although not uncommon, are generally misdiagnosed, leading to an unfavorable outcomes. Colloid cyst is a slow-growing, benign tumor in the anterior part of the third ventricle, which frequently presents with neurological complaints like headache and gait disturbances. However, a patient with colloid cyst may also present to the OPD with a spectrum of psychiatric symptoms.

Case Report:

We here report a middle-aged man who was brought to the OPD with symptoms of pervasive irritability and disinhibited behavior for three months, along with complaints of increased activity, reduced sleep and appetite, suspicious about wife, family members and neighbors. Patient had frequent episodes of headache in the past 3 months associated with nausea, restlessness for which neuroimaging was advised, which showed a hyper-dense lesion in the third ventricle. Patient was referred to neurosurgery and was operated for the same. Post-operatively, family members reported improvement in his behavior.

Conclusion:

A detailed systemic evaluation for any neurological causes of organic causes or atypical picture of psychiatric conditions is of extreme necessity. There is a dire need for liaison of psychiatrists with neurophysicians and neurosurgeons to attain betterment in patients in both physical as well as psychological aspects, especially in psychiatric diagnosis with organic causes.
The Role of Decoy Receptor DcR3 in Gastrointestinal Malignancy
Authors: LAGOU STYLIANI , GRAPSA DIMITRA , SYRIGOS NIKOLAOS , BAMIAS GEORGIOS
Published: July 2022

Malignancies are among the leading causes of mortality worldwide. Early detection and treatment are the primary targets of clinical and translational research, and may be facilitated by the recognition of novel diagnostic and prognostic biomarkers. Decoy receptor 3 (DcR3) is a soluble receptor of the tumor necrosis factor receptor superfamily of proteins (TNFRSF), which associates with its respective TNF-like ligands, Fas-L, LIGHT, and TL1A. DcR3 has been recognised as a significant anti-apoptotic factor with prominent involvement in various inflammatory and neoplastic conditions. Increased intratumor expression of DcR3 and elevated soluble DcR3 protein content in the sera of patients has been reported for various malignancies. Recent published work has suggested that monitoring of local and systemic DcR3 may provide an attractive biomarker, mainly for defining subgroups of patients with aggressive tumor behaviour and poor prognosis. The aim of the present review is to summarize and critically present existing evidence regarding the potential clinical importance of monitoring DcR3 expression in patients with malignancies of the gastrointestinal tract, as well as liver and pancreatic cancer. We also present a detailed description of the pathophysiological basis that may underlie the involvement of DcR3 in gastrointestinal carcinogenesis. Based on these data, we comment on the potential applicability of DcR3 monitoring in the diagnosis and, most importantly, the prognostic stratification of patients.
Development of a Theory-Based, Culturally Appropriate Message Library for Use in Interventions to Promote COVID-19 Vaccination Among African Americans: Formative Research
Authors: Cunningham-Erves Jennifer , Brandt Heather M , Sanderson Maureen , Clarkson Kristin , Lee Omaran , Schlundt David , Bonnet Kemberlee , Davis Jamaine
Published: July 2022

Background

Disparities in COVID-19 incidence, hospitalization, and mortality rates among African Americans suggest the need for targeted interventions. Use of targeted, theory-driven messages in behavioral and communication interventions could empower African Americans to engage in behaviors that prevent COVID-19.

Objective

To address this need, we performed a formative study that aimed to develop and design a culturally appropriate, theory-based library of messages targeting concerns around COVID-19 vaccines that could be used in behavioral and communication interventions for African Americans.

Methods

Message development occurred between January 2021 and February 2022. Initial messages were designed by a multidisciplinary team of researchers, community leaders, and community members. Kreuter’s 5 strategies (ie, linguistic, peripheral, evidential, sociocultural, and constituent-involving strategies) were used to achieve cultural appropriateness. After forming a community-academic partnership, message development occurred in 4 phases: (1) adaptation of a message library using the literature, (2) review by 6 clinical and research experts for content validation, (3) input and review by a 6-member community advisory panel (CAP), and (4) message pretesting with African Americans via semistructured interviews in a qualitative study.

Results

Themes from the semistructured interviews among 30 African Americans were as follows: (1) community reactions to the messages, (2) community questions and information needs, (3) suggestions for additional content, and (4) suggestions to improve comprehension, relevance, and trustworthiness. Feedback from the CAP, community members, and scientific experts was used by members of the community-academic partnership to iteratively update message content to maximize cultural appropriateness. The final message library had 18 message subsets for adults and 17 message subsets for parents and caregivers of children. These subsets were placed into 3 categories: (1) vaccine development, (2) vaccine safety, and (3) vaccine effectiveness.

Conclusions

We used a 4-phase, systematic process using multiple community engagement approaches to create messages for African Americans to support interventions to improve COVID-19 vaccination rates among adults and children. The newly developed messages were deemed to be culturally appropriate according to experts and members of the African American community. Future research should evaluate the impact of these messages on COVID-19 vaccination rates among African Americans.
Considering sociotechnical complexity when designing and developing people-centred digital health interventions: A qualitative study (Preprint)
Authors: Hodgins Michael , Burley Jade , Samir Nora , Paul Nicola , Goldfeld Sharon , Lingam Raghu
Published: July 2022

BACKGROUND

Digital health solutions have the potential to transform health delivery and health outcomes. However, the process of building acceptable and sustainable digital health interventions (DHIs) proves an ongoing challenge in a local landscape with complex and diffuse clinical informatics systems, siloed governance arrangements, and the safety of the ‘known’ for clinicians used to existing, often antiquated information systems.

OBJECTIVE

Our paper coalesces existing literature on the development of DHIs in complex environments into three themes to provide a framework to consider lessons learnt in the delivery of an anonymised DHI. We highlight the successes and setbacks involved in the development of a person-centred digital health intervention within a complex health care setting for the benefit of future development of DHIs.

METHODS

We conducted qualitative interviews both in person and via telephone with 22 stakeholders involved in the development of the DHI. Three researchers used a thematic analysis to iteratively code interview transcripts and considered the emerging themes within the context of wider literature.

RESULTS

We considered the development of a DHIs around three core themes: creating and sustaining aspirational, yet feasible vision; the engagement of decision-makers, service users, and service providers; and the use of data and flexibility to solve emerging challenges. Our case example underscores the importance of these themes. Specifically, the case example demonstrated that the engagement of stakeholders and end-users is important, however equally vital is the alignment between ‘co-design’ and ‘build’ phases of technology development. proved a challenging negotiation for the organisation responsible for the intervention. Additionally, the case example showed the necessity of balancing novelty and feasibility of vision, which could have been aided by greater technological competence during co-design phases.

CONCLUSIONS

Our paper provides an empirical consideration of the complexity of designing and developing digital health interventions, with some practical guidance for mitigating this complexity for future DHI development.
A population level application of a novel method for estimating the timing of HIV acquisition among migrants to Australia (Preprint)
Authors: King Jonathan , Petoumenos Kathy , Dobbins Timothy , Guy Rebecca J , Gray Richard T , Nigro Steven J , Si Damin , Minas Byron , McGregor Skye
Published: July 2022

BACKGROUND

Australia has set the goal for the virtual elimination of HIV transmission by the end of 2022, yet accurate information is lacking on the level of HIV transmission occurring among residents. We developed a method for estimating the timing of HIV acquisition among migrants, relative to their arrival in Australia, and applied it to surveillance data from the Australian National HIV Registry. To apply a novel algorithm to ascertain the level of HIV transmission occurring among migrants before and after migration, and to inform appropriate local public health interventions.

OBJECTIVE

To apply a novel algorithm to ascertain the level of HIV transmission occurring among migrants before and after arrival in Australia, and to inform appropriate local public health interventions.We developed an algorithm incorporating CD4+ T-cell decline back-projection and enhanced variables (clinical presentation, past HIV testing history and clinician estimate of the place of HIV acquisition) and compared it to a standard algorithm which uses CD4+ T-cell back-projection only. We applied both of these algorithms to all new HIV diagnoses among migrants to estimate whether HIV infection occurred before or after arrival in Australia.

METHODS

We developed an algorithm incorporating CD4+ T-cell decline back-projection and enhanced variables (clinical presentation, past HIV testing history and clinician estimate of the place of HIV acquisition) and compared it to a standard algorithm which uses CD4+ T-cell back-projection only. We applied both of these algorithms to all new HIV diagnoses among migrants to estimate whether HIV infection occurred before or after arrival in Australia.

RESULTS

Between 1 January 2016 and 31 December 2020, 1,909 migrants were newly diagnosed with HIV in Australia, 85% were men, and the median age was 33 years. Using the enhanced algorithm, 923 (48%) were estimated to have acquired HIV after arrival in Australia, 640 (34%) before arrival (from overseas), 248 (13%) close to arrival, and 98 (5%) were unable to be classified. Using the standard algorithm, 610 (32%) were estimated to have acquired HIV in Australia, 483 (25%) before arrival, 322 (17%) close to arrival, and 494 (26%) were unable to be classified.

CONCLUSIONS

Using our algorithm, close to half of migrants diagnosed with HIV were estimated to have acquired HIV after arrival in Australia, highlighting the need for tailored culturally appropriate testing and prevention programs to limit HIV transmission and achieve elimination targets. Our method reduced the proportion of HIV cases unable to be classified and can be adopted in other countries with similar HIV surveillance protocols, to inform epidemiology and elimination efforts.
The use of digital health interventions for cardiometabolic diseases among South Asian and Black minority ethnic groups: A realist review (Preprint)
Authors: Goswami Aumeya , Poole Lydia , Thorlu-Bangura Zareen , Khan Nushrat , Hanif Wasim , Khunti Kamlesh , Gill Paramjit , Blandford Ann , Stevenson Fiona , Banerjee Amitava , Ramasawmy Mel
Published: July 2022

BACKGROUND

Digital health interventions (DHIs), have become increasingly common for the prevention and management of cardiometabolic disease. However, there is limited evidence for the suitability of these approaches in minority ethnic populations, who are at increased risk of these diseases.

OBJECTIVE

This study aims to investigate the use of digital health interventions (DHIs) for cardiovascular disease (CVD) and/or type 2 diabetes (T2DM) among minority ethnic populations in majority White, English-speaking countries; focussing on people who identify as South Asian, Black, and/or African-American.

METHODS

A realist methodology framework was followed, in which a literature search was conducted to develop context-mechanism-outcome configurations (CMOcs), including the contexts DHIs work in for the target minority ethnic groups, the mechanisms that these contexts trigger, and resulting health outcomes. After systematic searches, qualitative analysis of included studies was conducted using deductive and inductive coding.

RESULTS

15 studies of uptake of DHIs for CVD and/or diabetes were identified, of which 13 focused on people from an African-American background. The review found evidence in support of the use of DHIs in minority ethnic populations when specific factors are considered in implementation and design, including: patient beliefs and health needs; education and literacy levels; material circumstances; culture, social networks and the wider community; and supporting healthcare systems.

CONCLUSIONS

The CMOcs developed in this review provide a useful guide for the future development of DHIs targeted at South Asian and Black minority ethnic populations, with specific recommendations on improving cultural competency, and promoting accessibility and inclusivity of design.
Evaluation of a novel concentrated interdisciplinary pulmonary rehabilitation program for patients with chronic obstructive pulmonary disease (COPD): Protocol for a non-randomized clinical intervention study (Preprint)
Authors: Frisk Bente , Njøten Kiri Lovise , Aarli Bernt B. , Hystad Sigurd William , Rykken Sidsel , Kjosås Ane , Søfteland Eirik , Kvale Gerd
Published: July 2022

BACKGROUND

Pulmonary rehabilitation is demonstrated to be a highly effective treatment for people with chronic obstructive pulmonary disease (COPD). However, the availability is scarce worldwide, and new and innovative rehabilitation models are highly warranted. Recently, the group behind this study published a protocol describing a novel concentrated and interdisciplinary group rehabilitation program for patients with chronic illnesses. The current paper describes an extension of this protocol to patients with COPD.

OBJECTIVE

The aim with this study is to explore the acceptability of concentrated interdisciplinary group rehabilitation for patients with COPD. The intervention is expected to improve functional status and to be highly acceptable to the patients.

METHODS

Fifty patients aged >40 years, fulfilling the diagnostic criteria of COPD: a forced expiratory volume at the first second (FEV1) < 80% of expected and a FEV1/forced vital capacity (FVC) below the lower limit of normal of the global lung function initiative (GLI), will be included. An interdisciplinary team consisting of physician and physiotherapists with speciality in pulmonary disorders, psychologist, pharmacist, clinical nutritionist, and nurse will deliver the treatment to groups of 6-10 patients during four consecutive days with 12 months follow-up. The intervention is divided into three distinct phases: 1) pre-treatment preparation for change, 2) concentrated rehabilitation where the patient is coached to focus on making health-promoting micro-choices, and 3) integration of the changes into everyday living aided by digital follow-up and two on-site clinical examinations.

RESULTS

The recruitment period will last from April 2022 until June 2023.

CONCLUSIONS

If successful, this highly novel rehabilitation-format might change the way we deliver care for patients with COPD with substantial societal and socio-economic gains. The study will expand the knowledge of the concentrated treatment format as a rehabilitation model for people with COPD.

CLINICALTRIAL

ClinicalTrials.gov Identifier: NCT05234281 https://www.clinicaltrials.gov/ct2/show/NCT05234281?term=concentrated+rehabilitation&cntry=NO&draw=2&rank=2

Western Norway Regional Committees for Medical and Health Research Ethics (REK 2020/101638)
Consumers’ Perception and Willingness to Pay for Cassava Leaves as a Leafy Vegetable in the Ejisu - Juaben Municipality, Ghana
Authors: Nimoh Fred , Prah Stephen , Boansi Karen
Published: July 2022

Cassava leaves, as a leafy vegetable and highly nutritious food, is not a common traded leafy vegetable on the local markets of Ghana. The study assessed consumers’ perception and their willingness to pay (WTP) for cassava leaves as a leafy vegetable in the Ejisu-Juaben Municipality, a peri-urban district in the Ashanti region of Ghana. A multistage sampling technique was used to select 200 respondents for the study. Based on the empirical results, 67% of respondents were willing to pay for cassava leaves at various bids. Overall agreeing perception index (PI) was 64.6%, implying that respondents accept the cassava leaves to be sold at the local market as a leafy vegetable. On average, for every 500 grams bunch of cassava leaves, respondents were willing to pay GHS1.61 (USD0.32), below the value of its close substitute, spinach, at an initial bid of GHS2.00. An empirical tobit regression model revealed that consumers’ monthly income, level of education, and perception to sell cassava leaves as a leafy vegetable have significant influence on their WTP for cassava leaves as a leafy vegetable. The study recommends the need for farmers and other stakeholders to develop and promote the market for cassava leaves, as an alternative source of leafy vegetable for consumers and also as source of income to farmers. There is also the need for sensitization on the nutritional benefits and training on value addition to the produce to boost its patronage in the country and globally.
Mahesh Dattani’s ‘Clearing the Rubble’: A Critique of Centre Versus Margins
Authors: Sharma Dr. Ramesh
Published: July 2022

The present paper proposes to depict the reality of the society of modern times in a socio-realistic play ‘Clearing the Rubble’ by Mahesh Dattani. The main thrust of the paper is to throw light on the pathos of the marginalized section of society. Mahesh Dattani is a well known playwright who is known for his courageous attacks on the cruel and inhuman attitude towards the weak and marginalized categories. The paper examines how a society can be cruel enough to deny equal rights to their fellow beings on the basis of caste discrimination. ‘Clearing the Rubble’ brings treatment; the marginalized section of untouchables goes through during the natural calamity of earthquake. It presents the discrimination against the minority community of Muslims and who are also untouchables and is thus doubly marginalized. The dramatist has struck the conscience of the society by exposing the hypocrisy of the Indian society. Dattani wants to give a message through this play that the marginalized sections of low-caste should be given human status that, man is a man and he is born equal to all other men. This play gives an exotic image of our country and barely scratches the surface of Indian reality. He has made Herculean effort to retrieve the true and realistic inside view of India and her people.
Non-Destructive Defect Detection Using MASK R-CNN on Industrial Radiography of Machines
Authors: Mahapatra Aman Kumar
Published: July 2022

Abstract: Many industrial processes, particularly those requiring casting or welding, rely heavily on quality control. Manual quality control processes, on the other hand, are frequently time-consuming and error-prone. To address the increased demand for high-quality products, sophisticated visual inspection technologies are becoming increasingly important in manufacturing lines. Convolutional Neural Networks have recently demonstrated exceptional performance in image classification and localization tasks. Based on the Mask Region-based CNN architecture, this research proposes a solution for detecting casting errors in X-ray pictures. The suggested defect detection system conducts flaw identification and segmentation on input pictures at the same time, making it appropriate for a variety of defect detection jobs. It is demonstrated that training the network to conduct defect detection and defect instance segmentation at the same time leads in greater defect detection accuracy than training on defect detection alone. Transfer learning is used to minimizetraining data requirements while increasing the trained model's prediction accuracy. More precisely, the model is trained using two huge publically available picture datasets before being fine-tuned using a relatively modest metal casting X-ray dataset.The trained model's accuracy outperforms state-of-the-art performance on the GRIMA database of Xray images (GDXray) Castings dataset and is quick enough to be deployed in production. On the GDXray Welds dataset, the system likewise works well.A variety of in-depth research are being undertaken to investigate how transfer learning, multi-task learning, and multi-class learning affect the trained system's performance.
Analysis and Design of Public Transport Route Planner: Dijkstras Algorithm
Authors: Ray Abhishek
Published: July 2022

Abstract: Nowadays, vehicle tracking is extremely useful for many things: personal vehicle security, public transportation management, fleet management, and mass transit management, among others. It is common for passengers to use public transport applications that propose the best route for them. Users may prefer a different route for public transportation depending on their preferences. Most users find the shortest route based on this criteria when choosing an ideal route. The shortest path is frequently determined using Dijkstra's Algorithm, according to our research. For this project, we designed a GIS application to improve public transportation using Geographic Information Systems (GIS). Based on the system's real-time location tracking, Dijkstra's algorithm provides taxis with the appropriate category for passengers. With this system, taxi drivers will not have to drive across town to pick up passengers, as confirmations will be sent directly to their phones. If you frequently have to wait for a taxi that has been booked, this will be helpful, especially if you are frequently left waiting
Weed Detection
Authors: Yadav Santosh
Published: July 2022

Abstract: The process of weed removal is critical in agricultural fields. The traditional method of weed removal is time consuming and needs more physical labor. The goal is to automatically remove weeds from agricultural fields. Using a deep learning method, the suggested study detects weeds growing between crops and removes them using an automatic cutter. The important characteristics from the agricultural images are analyzed using deep learning. The dataset has been trained to identify weeds and crops. When it comes to deep learning, Convolutional Neural Network (CNN) employs a max-pooling and fully connected layer with ReLU to identify the weed from the crop and uses a convolutional layer with a ReLU function to extract the features of a picture. The CNN network receives the pre-processed picture. From the resultant image, Region Of Interest (ROI) is extracted and also extract some features for training. The categorization is completed after the training. As a result, a deep learning network is used to detect the weed. A total of 100 photos are trained in order to increase accuracy.
Agricultural Based Decisions: AGRODEC Web Application
Authors: Rao Rupeshwar Maheshwar
Published: July 2022

Abstract: Farmers no longer have to travel large distances in order to obtain agricultural knowledge. With agriculture playing such a vital role as a source of income in one of the world's most populated countries, making the lives of farmers easier is a must. India is the world's largest producer of pulses (25 percent of global output), consumer (27 percent of global consumption), and importer (25 percent of worldwide imports) (14 percent). As these data show, agriculture contributes a significant portion of our country's GDP. As a result, AGRODEC acts as a reference for farmers, advising them on which crops would be most beneficial at certain seasons of the year and soil pH levels
A Dynamic Face Mask Detection using Deep Learning
Authors: Sugamya K
Published: July 2022

Abstract: The spread of COVID-19 pandemic has created a crucial global health crisis of the world, that has had a deep impact on humanity and the way we perceive our world and our everyday lives. Masks are very effective when it comes to prevention of spreading of the virus, this is how this idea came into picture. And since marks are compulsory in public places, mask detection can be useful if implemented. The proposed work is implemented on live video, that is from webcam in this case. It detects the person from the video and then checks if the person is wearing a mask or not.
Automatic Braking System using Ultrasonic wave
Authors: Dhawan Ajay. P.
Published: July 2022

Abstract: An automatic Braking system is an intelligent mechatronic system includes an Ultrasonic wave emitter provided on the front portion of a car producing and emitting Ultrasonic waves. An Ultrasonic receiver is also placed on the front portion of the car operatively receiving a reflective Ultrasonic wave signal. The reflected wave (detected pulse) gives the distance between the obstacle and the vehicle. Then a microcontroller is used to control the speed of the vehicle based on the detection pulse information to push the brake pedal and apply brake to the car stupendously for safety purpose. Automotive vehicles are increasingly being equipped with collision avoidance and warning systems for predicting the potential collision with an external object, such as another vehicle or a pedestrian. Upon detecting a potential collision, such systems typically initiate an action to avoid the collision and/or provide a warning to the vehicle operator. The aim is to design and develop a control system based on an automatic, intelligent and electronically controlled automotive braking system for automobiles is called as “Sensor based Electromagnetic Braking System”. This Braking system consists of IR transmitter and receiver circuit and the vehicle. The IR sensor is used to detect the obstacle. There is any obstacle in the path, the IR sensor senses the obstacle and giving the control signal to the microcontroller, which in turn sends a signal to the motor to stop and also to the Electromagnet so as to stop the vehicle as programmed. This project facilitates electromagnetic braking system using solenoid. Here in fabrication module include a vehicle prototype frame associated with a dc motor and a electromagnet.
Seismic Analysis of Historic Stone Structure: A Review Paper
Authors: Shetty Mr. Sabyath
Published: July 2022

Abstract: This general report is prepared from the selected 25 papers which are in the area of seismic analysis of structures. An earthquake is the result of a rapid release of strain energy storied in the earth crust that generates seismic waves. Structures are vulnerable to earthquake ground motion and damages the structures. In order to take precaution for the damage of structures due to ground motion, it is important to know the characteristics of the ground motion. The most important dynamic characteristics of earthquake are peak ground acceleration, frequency content, and duration. These characteristics play predominant rule studying the behavior of structures under the earthquake ground motion. The earthquake analysis of multistorey structure is done by linear and nonlinear methods. Response spectrum method of analysis is linear dynamic analysis. For nonlinear dynamic analysis time history method is used. In this paper, response spectrum method is used for linear analysis. For nonlinear analysis, time history method is used.
Present-Ma’am: An Attendance Management System
Authors: Bongulwar Aashay
Published: July 2022

Abstract: Attendance management is critical for every institution; it can determine whether or not an institution, such as educational institutions, public or commercial sectors, will be successful in the future. To maximise their performance, institutions will need to keep track of people within the organisation, such as employees and pupils. Real-Time Face Recognition is a useful way for dealing with the daily attendance of a vast number of pupils. To increase face detection and recognition performance, several algorithms and strategies have been developed, however, our suggested model uses the LBPH (Local binary pattern histogram) methodology, which is implemented in Python using the OpenCV organization and employs the tinker GUI interface for user interface needs.
Fake News Detection using Natural Language Processing
Authors: Balgi Sanjana Madhav
Published: July 2022

Abstract: Fake news is information that is false or misleading but is reported as news. The tendency for people to spread false information is influenced by human behaviour; research indicates that people are drawn to unexpected fresh events and information, which increases brain activity. Additionally, it was found that motivated reasoning helps spread incorrect information. This ultimately encourages individuals to repost or disseminate deceptive content, which is frequently identified by click-bait and attention-grabbing names. The proposed study uses machine learning and natural language processing approaches to identify false news specifically, false news items that come from unreliable sources. The dataset used here is ISOT dataset which contains the Real and Fake news collected from various sources. Web scraping is used here to extract the text from news website to collect the present news and is added into the dataset. Data pre-processing, feature extraction is applied on the data. It is followed by dimensionality reduction and classification using models such as Rocchio classification, Bagging classifier, Gradient Boosting classifier and Passive Aggressive classifier. To choose the best functioning model with an accurate prediction for fake news, we compared a number of algorithms.
The effect of Paternal Involvement in Parenting, Parent-Teacher Partnership on Maternal Parenting Behavior
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Ji Won , Ahn Sun Hee , Lee Seul Ki
Published: July 2022

Objectives The purpose of this study was to examine the effect of paternal involvement in parenting and parent-teacher partnership on maternal parenting behavior of a 5-year-old.
Methods This study consisted of a total of 132 mothers of 5-year-old attending early child care center or kindergarten. Paternal involvement in parenting, parent-teacher partnership, and maternal parenting behavior were measured, and the collected data were analyzed using Pearson's correlation analysis and multiple regression analysis with SPSS 26.0.
Results First, maternal parenting behavior was found to have a positive correlation with paternal involvement in parenting and parent-teacher partnership. Mother's intervention and coercive parenting behavior showed a negative correlation only with the paternal involvement in parenting. Second, it was found that paternal involvement in parenting and parent-teacher partnership had an effect on maternal parenting behavior. In particular, it was found that paternal involvement in parenting had more influence on maternal parenting behavior than partnership with teachers.
Conclusions This study is meaningful because it provided basic data for a study to help maternal positive parenting behavior by examining the effects of teacher-mother partnership and paternal involvement in parenting on maternal parenting behavior.
Problem behaviors of Early Childhood, health of mother's family of origin, differentiation of self, Marital Conflict structural relationship between
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Hyoung Joo , Lee Ju Lie
Published: July 2022

Objectives The purpose of this study is to reveal the structure and influence between the mother's role in the family-of-origin health, mother's differentiation of self, marital conflict, and problem behavior of early childhood.
Methods For this purpose, a questionnaire was distributed to 435 children attending early childhood education institutions located in S and G to measure the variables of childhood child problem behavior, mother's family-of-Origin health, mother's differentiation of self, and marital conflict. In the structural equation model, the independent variable was the mother's family-of-Origin health as the mediating variable, differentiation of self and marital conflict dependent variables were selected as the externalization problem behavior and internalization problem behavior of early children.
Results Mothers’ family-of-Origin health had a positive effect on the level of mother’s differentiation of self, and mother’s differentiation of self had a negative effect on children’s externalizing and internalizing problem behaviors. Couple conflict had a positive effect on the externalization and internalization problem behaviors of children in early childhood. Mothers' family-of-Origin health fully mediated the level of mother's differentiation of self in the externalizing and internalizing problem behaviors of children in early childhood. In addition, it was found that marital conflict and mother differentiation of self between the and the externalization and internalization problem behaviors of the infant children had an indirect effect on the externalization and internalization problem behavior of early childhood.
Conclusions For this reason, it was verified that differentiation of self in the mother is an important factor in preventing and reducing problem behavior of early childhood, Based on the results of this study, various measures were sought to prevent and reduce problem behavior of early childhood.
PROBLEMS OF MEDICAL CARE IN PSKOV PROVINCE IN THE FIRST HALF OF THE XIX CENTURY
Authors:   Pskov State University (Russia), Koshelkov V.A.
Published: July 2022

The article describes the history of medical care to the population of Pskov province in the first half of the XIX century. The picture of medical care for residents of the Pskov province was restored thanks to the analysis of a wide range of documents deposited in the files of the funds of the State Archive of the Pskov Region and the Russian State Historical Archive. The relevance of this study lies in the fact that its topic is poorly developed not only at the regional, but also at the all-Russian level. The appeal to this problem made it possible to identify diseases that acquired the scope of epidemics within the Pskov province in the first half of the XIX century. Using individual examples, the author examined the policy of the central and provincial authorities to combat the cholera epidemic in the social space of the Pskov province. The paper also presents the facts of the spread of other diseases, for example, nettle fever and intestinal infection. The author formulated the key features of the healthcare system of the Pskov province in the first half of the XIX century, made conclusions about the low level of organization of medical care. This article will allow us to form an idea not only about the history of medical care of the population in the Russian province, but also about the history of everyday life of the people.
International information security: In search of consolidated approaches : Interview with Andrey V. Krutskikh, Special Representative of the President of the Russian Federation for International Cooperation in the Field of Information Security. Interviewed by D. A. Piskunov
Authors: Krutskikh Andrey V.
Published: July 2022

Andrey Vladimirovich Krutskikh is the Special Representative of the President of the Russian Federation for International Cooperation in the field of Information Security since 2014, and a leading expert in this field in Russia and around the world. He served as Chairman of the UN Panel of Government Experts on Advances in Information and Telecommunications and the SCO Member States Panel of Experts on International Information Security (IIS). Since 2020, A.V. Krutskikh holds the position of Director of the Department for International Information Security (DIIS) of the Ministry of Foreign Affairs of Russia, since 2017 he is Director of the Center for International Information Security, Science and Technology Policy of MGIMO University. Andrey Vladimirovich is the author of fundamental works devoted to IIS issues, the scientific editor of the three volume comprehensive textbook “International Information Security: Theory and Practice,” prepared by the CIIS team of authors. During the interview A.V. Krutskikh spoke about Russia’s approaches to international information security, the role of our country in developing the rules of the responsible State behavior in the global information space.
Green Synthesis of Magnesium Oxide (MgO NPs) and Adsorption with Eosin Dye
Authors:   Department of Chemistry, College of Science, University of Al-Mustansiriyah, Baghdad-Iraq, H.Obaid Alieaa , M. Hussein Fadhila ,   Department of Chemistry, College of Science, University of Al-Mustansiriyah, Baghdad-Iraq, A.Abbas Salma ,   Department of Chemistry, College of Science, University of Al-Mustansiriyah, Baghdad-Iraq, A. Jawad Asmaa ,   Forensic DNA Research and Training Center, Al-Nahrain University, Baghdad-Iraq, A.Ibrahim Tahseen ,   Ministry of Health, Inspection Department, Baghdad-Iraq
Published: July 2022

The green synthesis method is used to create magnesium oxide (MgO) nanoparticles in this study. SEM measurements and X-ray diffraction techniques are used to determine their crystal structure, as well as, FTIR to analyze the MgO na articles. Green synthesis of MgO nanoparticles are a good adsorbent for Eosin dye in aqueous solutions. Contact time, adsorbent mass, temperature, and Eosin dye concentration were all investigated. Freundlich isotherm models and the Eosin dye isotherm adsorption were well identical. The thermodynamic research yielded 101.4152 J/mol K, 0.02826397 kJ/mol, and −30.7005537 kJ/mol for the ΔS, ΔHand ΔGparameters, respectively. moreover, with R2=0.9228, the kinetic investigation revealed that the adsorption was pseudo-second-order.
On 푚풳-b-Open Sets
Authors:   Department of Mathematics College of Science Mustansiriyah University, Baghdad-Iraq, B.Jubair Waqas , J.Ali Haider ,   Department of Mathematics College of Science Mustansiriyah University, Baghdad-Iraq
Published: July 2022

In this paper, we shall use the m-structure topological spaces to introduce new concept, which is the 푚풳-ω-open set. Several facts, results and examples are given to illustrate our work.
PENGELOLAAN CUSTOMER ENGAGEMENT PADA MEDIA SOSIAL UNTUK MEMBIDIK PASAR MILENIAL PADA TAHUN 2019 (Studi Kasus Pengelolaan Konten Promosi Instagram Labalaba Periode September 2018 – Maret 2019)
Authors: Christyanti Dian Agata
Published: July 2022

Pengelolaan customer engagement menjadi proses yang sangat penting dalam melakukan pemasaran secara online. Labalaba merupakan market leader usaha yang bergerak dalam bidang jasa reparasi barang selama lebih dari 100 tahun. Labalaba berupaya untuk mulai mengelola customer engagement pada pasar baru yakni generasi Milenial. Penelitian ini bertujuan untuk mengetahui bagaimana penggunaan konten sosial media Instagram dalam mengelola customer engagement pada suatu brand dengan pelanggan generasi Milenial. Teori yang digunakan adalah teori Sashi (2012) sebuah brand dapat menggunakan social media sebagai alat untuk mengelola customer engagement. Sehingga ada hubungan antara pengelolaan social media dan customer engagement. Penelitian ini menggunakan paradigma Kontruktivisme, pendekatan kualitatif dan bersifat studi kasus. Pengumpulan data yang dilakukan dengan teknik data primer dan sekunder. Data primer didapatkan dari hasil wawancara oleh beberapa informan dan data sekunder didapatkan dari arsip dan data yang dimiliki perusahaan, seperti website, dan laporan akun Instagram @labalabaid. Hasil dari penelitian ini menunjukan bahwa dalam pengelolaan customer engagement pada sosial media Instagram khususnya untuk membidik Generasi Milenial, perlu ada pengelolaan dari insight-insight yang dibangun dari audience itu sendiri. Dari insight itulah, sebuah brand dapat membuat konten yang membangun engagement dengan audiencenya. Teknik konten promosi yang dipilih oleh Labalaba adalah softselling. Yang dimana lebih mengutamakan value dari produk atau jasa yang ditawarkan.
The Role of Attachment in Creating Sustainable Sense of Place for Traditional Streets in Alor Setar, Malaysia
Authors: Shukri S. Mohmad , M.H. Wahab , Z.L. Awaluddin , A.M.R Aminuddin , M.I Hasan
Published: July 2022

In urban design research, it is vital to search the role of place attachment as an element that places significant meanings that include physical characteristics, activity and meaning that contribute to the sense of place. In urban studies, most of the study leads to the importance of physical characteristics and activities towards the sense of place; however, research on place attachment roles as part of the sense of place has not been sufficiently done. This paper aims to search the role of place attachment in creating a sustainable sense of place in two main traditional streets in Alor Setar, Jalan Tunku Yaakub in Pekan Cina (JTY) and Jalan Kampung Perak (JKP). Field survey and Semi-structured interviews were conducted as a data collection method, and all the content were analysed to accomplish a thorough interpretation of the findings. The findings show that users attached to the traditional street in Alor Setar, Kedah, dominate and influence the place's identity. The street view is vital in daily engagement attached whereas, the mobile users of the streets are primarily attached in terms of functionality. In addition, the meaning and history also influence the user's attachment to the place. In conclusion, the roles of place attachment on traditional streets attributes should be considered to sustain the sense of place for the future development in Alor Setar.
From the English Renaissance Literary History: Sherry, Puttenham, Spenser, and Shakespeare on Fictions
Authors:   A.M. Gorky Institute of World Literature of the Russian Academy of Sciences, Haltrin-Khalturina Elena V.
Published: July 2022

A survey of academic histories of literature published in the 19th and 20th centuries in different countries reveals that, while thoroughly covering the English Renaissance poetics, the scholarship allows for a variety of views on Tudor literary theory and on what constitutes literary canon. Considering this variety of views, we also have to be aware of two different perspectives on the large body of literary art of the 16th-century: the present-day and the Elizabethan. Drawing on a substantial number of sources, we offer a general account of influential theoretical (poetological and rhetorical) works known in the 16th-century Great Britain, including those written in English. Also of note are educational treatises, “mirror” literature, and metaliterary comments withing literary works. Authors of those treatises used to interpret fiction as something feigned, counterfeit — an attitude informing ludic passages in Spenser and Shakespeare. Whereas the techniques of fashioning fictions by way of employing figures of feigned/counterfeit representation were addressed in detail by such critics as R. Sherry and G. Puttenham, the poets — Spenser and Shakespeare — seemed to be testing these techniques in practice. Our study pays particular attention to methods used by Spenser and Shakespeare when creating simulated, fictional reality.