bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart Mobile System with Self-medication After COVID-19 Pandemic (Preprint)
Authors: Son Younsun
Published: July 2022

BACKGROUND

Background SARS-CoV-2 coronavirus infection, which causes pneumonia and complications of acute respiratory distress syndrome, can activate both innate and acquired immune responses and cause large-scale inflammatory responses later in the disease. The COVID-19 pandemic, which has affected most people, directly or indirectly, has penetrated our lives and has resulted in complete lockdowns in almost every country and has affected millions of people. All of my life has changed, including school, society, life and work. Studying online and working from home during the pandemic, most companies have had disruptions to production and operations. The overall social risk and economic crisis have been severely impacted by the coronavirus.7After the pandemic, offline purchases due to non-face-to-face activities have led to online and mobile purchases. There has been a major change in the perception of health-based health-related products and health care.

OBJECTIVE

Objective This study technically investigated the new consumption pattern changes and roles of the smart mobile market based on self-medication, which has changed since COVID-19. Therefore, this study intends to study the usability and feasibility of technology related to mobile systems that have changed since COVID-19.

METHODS

Methods This study was prepared by referring to keywords related to smart mobile, corona healthcare, corona MZ generation, and mobile shopping, and was performed by searching PubMed, Google Scholar and Scopus, Research Gate, and RISS. A total of 300~400 papers were retrieved, of which 48 were successfully included in this study at the final stage as of 2001-2022 using PRISMA flow diagram.

RESULTS

Results Investing in and managing personal health care has been increasing since Corona, and the self-medication market in Korea is popular with the MZ generation, who have emerged as new consumers, for using mobile and purchasing health functional foods. As interest in hygiene and immune management in daily life is rapidly increasing, the market for exercise, self-medical equipment, beauty equipment, and home training equipment is rapidly growing.

CONCLUSIONS

Conclusion This review aims to contribute to providing a deeper understanding of the role and functional consumption patterns of the new mobile market by identifying trends and needs of the MZ generation, healthcare, health functional food purchases, and pandemic in smart mobile systems.
Automatic Screening of Pediatric Renal Ultrasound Abnormalities through Deep Learning and Transfer Learning (Preprint)
Authors: Tsai MIng-Chin , Lu Henry Horng-Shing , Chnag Yueh-Chuan , Huang Yung-Chieh , Fu Lin-Shien
Published: July 2022

BACKGROUND

In recent years, the progress and generalization surrounding portable ultrasonic probes has made ultrasound a useful tool for physicians when making a diagnosis. With the advent of machine learning and deep learning, the development of a computer-aided diagnostic system for screening renal ultrasound abnormalities can assist general practitioners in early detection of pediatric kidney diseases.

OBJECTIVE

We therefore sought to evaluate the diagnostic performance of deep learning techniques to classify kidney images as normal and abnormal.

METHODS

We chose 330 normal and 1,269 abnormal pediatric renal ultrasound images for establishing a model for artificial intelligence (AI). The abnormal images involved hydronephrosis, cysts, stones, hyper-echogenicity and space occupying lesions. We performed pre-processing of the original images for subsequent machine learning. To classify both diseased and normal kidneys, support vector machine classifiers were built on the extracted features using transfer learning from a pre-trained deep learning model. The classifier and its diagnosis performance were measured using an area under the receiver operating characteristic curve (AUC), accuracy, specificity and sensitivity.

RESULTS

The deep learning model 94M parameters in size based on ResNet-50 was built for classifying normal and abnormal images. The accuracy of the validated images of normal, hydronephrosis, cyst, stone, hyperechogenicity and space occupying lesions were 90.9 %, 94.17%, 91.6%, 93.17%, 89.92% and 91.3%, respectively.

CONCLUSIONS

We have established the usefulness of a computer-aided model for automatic classification of pediatric renal ultrasound images in terms of normal and abnormal categories.
Development and Validation of a Direct Food Insecurity Measurement Instrument: A Study Protocol (Preprint)
Authors: Abd Razak Zayan Nabilah Rasyidah , Md Isa Khairil Anuar , Masuri Mohamad Ghazali , Mohd Fahmi Teng Nur Islami , Mohd Shariff Zalilah , Mohd Fozi Nur Anis Amirah
Published: July 2022

BACKGROUND

The Sustainable Development Goals (SDGs) aim to achieve sustainable food security with a focus on eradicating hunger and poverty. Although some progress has been made, conflicts and food insecurity issues are still inevitable worldwide. In Malaysia, food insecurity is still evident in 2021 as food-insecure groups were present in the surveyed population. The problem leads to negative impacts on the health and development of individuals. To tackle this problem, an appropriate measurement tool is needed to assess the experience of food insecurity among Malaysians. A valid, reliable and culturally specific food insecurity measurement tool is needed for further planning and implementation.

OBJECTIVE

Our objective is to develop a direct food insecurity measurement instrument that will assist practitioners in assessing food security status in communities.

METHODS

This paper describes a mixed-methods sequential study to develop and validate a direct food insecurity measurement tool that is culturally specific for use in Malaysia. It begins with a qualitative study to understand the experience of food insecurity among food bank beneficiaries through interpretive phenomenological analysis (IPA). Validation procedures will then be conducted to validate the instrument under study, assessing content validity, construct validity and reliability. Finally, a pilot study will be conducted to evaluate the instrument in order to increase the credibility of this measurement tool in directly assessing the experience of food insecurity.

RESULTS

In-depth interviews for qualitative data will be carried out after ethics approval and expected to be completed by 2022 November 30. For validation procedures, it is estimated to be completed by 2023 June 31.

CONCLUSIONS

This study will enable the development and validation of a direct food insecurity measurement tool to be used nationwide in Malaysia, and will go part of the way in assessing the relationship between the determinants and consequences of food insecurity status.
Performance of the Swiss digital contact tracing app over various SARS-CoV-2 pandemic waves: Repeated cross-sectional analyses (Preprint)
Authors: Daniore Paola , Nittas Vasileios , Ballouz Tala , Menges Dominik , Moser André , Höglinger Marc , Villiger Petra , Schmitz-Grosz Krisztina , Von Wyl Viktor
Published: July 2022

BACKGROUND

Digital proximity tracing apps have been deployed in multiple countries to assist with SARS-CoV-2 pandemic mitigation efforts. However, it is unclear how their performance and effectiveness were affected by changing pandemic contexts and new viral variants of concern.

OBJECTIVE

The aim of this study is to bridge these knowledge gaps through a country-wide digital proximity tracing app effectiveness assessment as guided by the WHO/ECDC framework. Specifically, we performed a descriptive analysis of the digital proximity tracing app in Switzerland for three different time periods where different SARS-CoV-2 variants of concern (i.e., Alpha, Delta, and Omicron, respectively) were most prevalent.

METHODS

In our study, we refer to the indicator framework for the evaluation of public health effectiveness of digital proximity tracing apps of the World Health Organization / European Center for Disease Control (WHO/ECDC). We applied this framework to compare performance and effectiveness indicators of the SwissCovid app in Switzerland across three time periods that were characterized by the dominance of the Alpha, Delta, and Omicron variants of concern.

RESULTS

Average daily registered SARS-CoV-2 case rates during our assessment period from January 25, 2021 to March 19, 2022 were 20 (Alpha), 54 (Delta), and 350 (Omicron) per 100’000 inhabitants. The percentages of overall entered authentication codes from positive tests in the SwissCovid app were 10%, 4%, and 5% during the Alpha, Delta, and Omicron variant phases, respectively.
Following receipt of an exposure notification from the SwissCovid app, 58% (Alpha), 44% (Delta), and 73% (Omicron) of app users sought testing or performed self-tests. Test positivity among these exposure-notified individuals was 19% in the Alpha (compared with 6% in the general population), 29% (11%) in the Delta, and 41% (43%) in the Omicron variant phases. In addition, 34% (Alpha), 19% (Delta), and 30% (Omicron) of exposure-notified app users reported receiving mandatory quarantine orders by manual contact tracing or through a recommendation by a health care professional.

CONCLUSIONS

In constantly evolving pandemic contexts, the effectiveness of digital proximity tracing apps in contributing to mitigating pandemic spread should be reviewed regularly and adapted based on changing requirements. The WHO/ECDC framework allowed us to assess relevant domains of digital proximity tracing in a holistic and systematic approach. Future implementation of digital proximity tracing apps should place more emphasis on the social, psychological and organizational aspects to reduce bottlenecks and facilitate their use in pandemic situations.
Use of a Mobile Biofeedback App to Provide Health Coaching for Stress Self-management: Pilot Quasi-Experiment (Preprint)
Authors: Son Changwon , Hegde Sudeep , Markert Carl , Zahed Karim , Sasangohar Farzan
Published: July 2022

BACKGROUND

Mental health is an increasing concern among vulnerable populations, including college students and veterans.

OBJECTIVE

The purpose of this study was to determine if mobile health technology combined with health coaching can better enable a user to self-manage their mental health.

METHODS

This study evaluated the mobile app “Biofeedback” that provided health coaching on stress self-management for college student veterans’ mental health concerns. Twenty-four college student veterans were recruited from a large public university in Texas during the spring 2020 semester, impacted by COVID-19. Ten participants were assigned to the intervention group where they used the mobile Biofeedback app on their smartphones and smartwatches, and 14 were assigned to the control group without the app; assignment was based on mobile phone compatibility. Both groups participated in one initial lab session where they learned a deep-breathing exercise technique. The intervention group was then asked to use the mobile Biofeedback app during their daily lives and a smartwatch, and the control group was asked to perform the breathing exercises on their own. Both groups filled out Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) self-assessments at 2-week intervals. At the end of the semester, both groups were given an exit interview to provide user experience and perceived benefits of health coaching via the mobile biofeedback app.

RESULTS

The deep-breathing exercise in the initial lab session reduced stress in both groups. Over the course of the study, the app recorded 565 coached breathing exercises with a significant decrease (approximately 3 beats per minute) in participants’ heart rate during the 6-minute time period immediately after conducting the breathing exercises (Spearman rank correlation coefficient –0.61, P<.001; S=9,816,176). There was no significant difference between the two groups for PHQ-9 and GAD-7 scores over the course of the semester. Exit interview responses indicated that participants perceived that the mobile Biofeedback app improved their health and helped them address stress challenges. All participants reported that the intervention helped them manage their stress better and expressed that health coaching via a mobile device would improve their overall health.

CONCLUSIONS

Participants reported a positive perception of the app for their mental health self-management during a stressful semester. Future work should examine long-term effects of the app with a larger sample size balanced between male and female participants, randomized participant allocation, real-time detection of mental health symptoms, and additional features of the app.
Infusion reactions to rituximab administration: algorithm of management
Authors: Ivanov D.D. , Zavalna I.М.
Published: July 2022

Background. Allergic reactions to rituximab, which have been used for the past 20 years, are common in 32–62 % of patients. The purpose of the study: to develop an algorithm for controlling adverse reactions that occur during the introduction of rituximab. Materials and methods. The personal experience of treatment of 46 patients with various kidney diseases who received rituximab according to the indications according to the established diagnosis was analyzed. Evaluation of infusion allergic reactions was performed according to P.М. Kasi et al. (2012) for 5 classes of side effects. Results. It was found that allergic reactions to rituximab occurred in 46 % of patients in the range from 1 to 4 classes. The probability of their occurrence according to the class was almost the same, but somewhat less documented for the 4th grade. Re-administration of diphenhydramine, methylprednisolone 125 mg or hydrocortisone 125 mg, if necessary salbutamol, oxygen allowed to eliminate most of the reaction, and then resumed the introduction of rituximab, starting from 25 mg/h, gradually increasing to 300 mg/h. This administration, performed 1–2 times, was effective in 1–3 classes of allergic reactions. For fourth grade, one patient required omalizumab. Generalized experience allowed to give a graphical and descriptive algorithm of actions in case of infusion side effects for rituximab. Conclusions. Based on special data and literature analysis, an algorithm for controlling infusion allergic reactions with intravenous rituximab was formulated.
Guideline of guidelines: management of recurrent urinary tract infections in women
Authors: Kwok Michael , McGeorge Stephen , Mayer-Coverdale Johanna , Graves Bianca , Paterson David L. , Harris Patrick N.A. , Esler Rachel , Dowling Caroline , Britton Sumudu , Roberts Matthew J.
Published: July 2022

No abstract
Giving Commands in the TV Series Game of Thrones
Authors: Adelayanti Natasa , Moehkardi Rio Rini Diah
Published: July 2022

This research attempts to identify the types of commands, sub-types of the commands, and the influence of situational context, power, and social distance in producing commands between characters in the TV series Game of Thrones. The data used are the commands given by the characters, namely Jon Snow, Sansa Stark, Daenerys Targaryen, Tyrion and Cersei Lannister. Holmes’ theory (2013) and some other sources on the categories of commands, Cutting’s theory (2002) on situational context, and Brown & Levinson ‘s theory (1987) on social variables are employed to analyze how the commands were produced. The results show that there are two types of commands: direct and indirect commands. There are 33 direct commands and 57 indirect commands. Some factors such as situational context, power, and social distance have influenced the dominant use of indirect commands.
Code-Switching in Londokampung Youtube Videos
Authors: Balqis Qonita Nabila , Basuki Amin
Published: July 2022

This research examines code-switching by a multilingual Australian YouTuber, Dave Jephcott, on his Londokampung Youtube channel. The data were obtained from five videos uploaded in July-August 2019 on this YouTube channel. The theory proposed by Blom & Gumperz (1972) was adopted for classifying code-switching and that by Malik (1994) for analyzing the reasons for code-switching. The results show that out of 35 utterances containing code-switching, 20 (57.14%) utterances belong to metaphorical code-switching and 15 (42.86%) utterances to situational code-switching. As for the reasons, 25.7% of code-switching instances serve to emphasize a point, 17.1% to show a lack of register, and another 17.1% to address a different audience. The other reasons include habitual expression (11.4%), the mood of the speaker (8.6%), semantic significance (5.7%), to show identification with a group (5.7%), lack of facility (2.9%), pragmatic reasons (2.9%), and to attract attention (2.9%).
Phatic Expressions in the Riverdale TV Series Season 1
Authors: Sudjito Rimadhani , Moehkardi Rio Rini Diah
Published: July 2022

This research aimed to analyze and classify the function of the six main characters’ phatic expressions related to Jason Blossom’s death in the Riverdale TV Series Season 1 using Jumanto's theory (2017), namely breaking the silence, starting a conversation, making small talk, gossiping, keeping the talk, expressing solidarity, creating harmony, offering comfort, expressing empathy, expressing friendship, expressing respect, and expressing politeness. The result shows that 195 data of phatic function are found in all types. Keeping the talk is the most used by the six main characters with 61 data because the characters want to maintain the conversation to get information about Jason Blossom's death. This research also classified the response type and analyzed whether their responses to those phatic expressions can make the conversations stop or continue. When the conversations can be continued and maintained, the characters could get more information about Jason Blossom’s death and even murderer.
Climate Change and Revisiting Security from Traditional State-Centric to Human Security and Beyond
Authors: Ph. D, D. Litt Prof Narottam Gaan, , Das Dr Sudhansubala , Mahanandia Dr Banita
Published: July 2022

Traditional security premised on state and its military apparatus has got itself emasculated in the face of continuing emergence of new kind of threats from the non-traditional and nonstate centric sources. Climate change and deepening environmental crisis along with other crises like demographic change, incidence of poverty, and rise of fatal and dangerous diseases have already thrown down the gauntlet to the realist paradigm of security built on state. Out of all these what stands out as the greatest threat to entire humankind is the climate change with all its devastating consequences like global warming, sea level rise, floods, cyclones and storms not only killing and uprooting poor people from their homeland etc. but also dragging people into an unsafe, insecure and sepulchral uncertainty of life. The answer to the fundamental question of survival and security and of providing a dignified way of life to the individuals was tried to be found out in various world summits on climate change from Kyoto to Paris summit but it was not sufficient to keep the temperature of the earth down at 1.5 degree Celsius at the pre industrial level by reducing emission of carbon dioxide to the atmosphere as agreed to by the world leaders. Climate change inextricably connected with security and development based on fossil fuels necessitates a rethinking that urges upon all to view the earth, both animate and inanimate not mechanically as mere instruments to redound to human wellbeing, security and primrose way of life but they are co-constitutive of each other’s life tied in the web of togetherness or being together as propounded by the proponents of worldly security.
DESIGN OF GASTRORETENTIVE POLYMERIC LOW-DENSITY MICROBALLOONS OF MEBENDAZOLE USING RESPONSE SURFACE METHODOLOGY
Authors: B JEEVANA JYOTHI , M SOWMYA
Published: July 2022

Objective: The main objective of the present work is the development of polymeric low-density microballoons for prolonged gastroretentive delivery and optimization of promising formulation by central composite design of response surface methodology.
Methods: Mebendazole-loaded microballoons were prepared by emulsion solvent diffusion method using Eudragit S-100 and hydroxypropyl methylcellulose as release controlling polymers. All the formulations of mebendazole-loaded microballoons showed buoyancy up to 8 h. Percentage of Eudragit S-100 (X1) in total amount of polymer and solvent ratio (X2) was taken as two independent variables. The responses are evaluated to study the effect of independent variables and the optimum formulation was chosen based on numerical and graphical optimization.
Results: The optimized formulation MBZ9 was composed of 100 mg of mebendazole, 75% of Eudragit S-100, and 25% of HPMC with DCM: ETH ratio of 1:1. The optimized formulation showed yield (81%), buoyancy (86.4%), entrapment efficiency (82.01%), and cumulative drug release for 12 h (79.99%). The optimized formulation was characterized by differential scanning calorimetry, and Fourier-transform infrared spectroscopy. It followed mixed order and the mechanism of drug release was diffusion as per R2=0.905 in Higuchi model.
Conclusion: Microballoons of mebendazole produced with 75% Eudragit S-100, X1 (750 mg), 25% of HPMC polymer, and 1:1 DCM: ETH solvent ratio X2 (10:10 ml) optimized by response surface methodology are successful with enhanced gastroretentive effect and controlled release to elicit promising anthelminthic effect in the gastrointestinal tract.
STUDY OF SEXUAL FUNCTIONING, SEXUAL CONCERNS, AND SEXUAL SATISFACTION IN MALE STROKE SURVIVORS
Authors: TALELE MAHESH KUMAR
Published: July 2022

Objective: The aim of this study was to study the sexual functioning, sexual concerns, and sexual satisfaction in males stroke survivors. The aim of this study was to determine the male sexual functions (1) libido/desire, (2) coital frequency, (3) sexual arousal, (4) erectile function using international index of erectile function (IIEF) score, (5) ejaculation using premature ejaculation diagnostic tool (PEDT) score, and (6) sexual satisfaction in male stroke survivors. Methods: It was a cross-sectional questionnaire study in the Neurological Rehabilitation department of a tertiary care Institute in 33 adult male stroke survivors in the age more than 21 years with at least 3 months of community dwelling post-discharge. The sexual functions recorded were (1) libido/ desire, (2) coital frequency, (3) sexual arousal, (4) erectile function using IIEF score, (5) ejaculation using PEDT score, and (6) sexual satisfaction. Results: Thirty-three eligible male stroke survivors in the age range from 25–54 years (mean 42.5 years) with post-stroke duration of 3–45 months (mean = 16.6 months) were included in the study. Of them, 14 had experienced stroke within 12 months and 19 had experienced stroke >12 months ago. Thirteen participants were sexually inactive and reported no coitus due to a loss of erection. The sexually active stroke survivors reported a moderate recovery of libido (60%), coital frequency (60%), erectile function (63%), orgasm (32%), and sexual satisfaction (25%), while others had poor recovery. Erectile dysfunction was present in 16 cases, an-ejaculation in 18 cases, and premature ejaculation in nine cases. Hypertension and depression with a history of smoking posed a higher risk of erectile dysfunctions. Conclusion: Exploration of sexual dysfunctions and sexual counseling by clinicians should be part of the comprehensive stroke rehabilitation program in sub-acute care.
Astronomy as a Tool for Learning the laws of Physics: Theory of Conceptual fields by Vergnaud
Authors: Irineu Jorge Emanuel de Oliveira
Published: July 2022

This work aims to present the results of the analysis of astronomy as a tool for learning the laws of physics in high school in Brazil, in the light of the Theory of Conceptual Fields (TCC)", by Gérard Vergnaud (1990), as an instrument for the planning together with the methodology of the Investigative Teaching Sequence (SEI). The present work is characterized as qualitative research and presents a new perspective on studies in this area, by enabling the configuration of new pedagogical practices, capable of bringing scientific knowledge closer to students. In the work, celestial maps were made from the location of the city of São Luís – Ma, Brazil. It was found that the use of Carta Celeste as a pedagogical tool improved the students' relationship with Exact Sciences, from the moment in which the theoretical knowledge obtained in the classroom was contextualized with field observations.
Urban Solid Waste in Brazil: Concept, Characterization and Regulation
Authors: da Silva Veridiana Torres , Xavier Antônio Roberto , Kanikadan Andrea Yumi Sugishita , Amorim Aiala Vieira , Pinto Olienaide Ribeiro de Oliveira , Tavares Rosalina Semedo de Andrade , Muniz Karla Renata de Aguiar , Fonseca Michella Rita Santos , Lima Maria Vandia Guedes , Cysne Marcus Rodney Portela , Queiroz Juliana Fernandes da Silva , Aquino Antonio Leonardo Moreira de , Oliveira Júlio César Lopes de
Published: July 2022

The study's main objective was to discuss the concept, characterization and other norms that govern and regulate Urban Solid Waste in Brazil. Methodologically, this is a theoretical-empirical study by means of a bibliographical procedural method, exploratory as to the objectives and of a basic nature with a qualitative approach. As for data collection techniques, research was carried out in secondary sources such as books, scientific articles, legislation, guidelines, and norms that define and regulate solid urban waste in Brazil. As for the analysis techniques, we used content analysis and narrative socio-historical contextual discourse. As conclusive results, the study allowed us to verify that two needs to be fulfilled by the public power and Brazilian society are evident: a) the fulfillment of the norms, legislation, and guidelines in relation to Urban Solid Waste, and 2) the putting into practice of a public policy of integrating and integrating environmental awareness that is efficient, effective and disseminated within society on a national, regional and local level.
Quest for Accessibility and Inclusion in Disabled Women’s Autobiographies in India
Authors: Deo Dr. Tejaswini Nandkumar
Published: July 2022

Disability has been widely misunderstood by Indian society due to constant social marginalization and a lack of sensitization and awareness. People often view disability with disgust, suspicion or sympathy. Disability has historically been conceptualized in terms of biological abnormality or dysfunction necessitating medical intervention and rehabilitation. Till recent years, there has been no cognizance of disability as a social construct. A major part of the work on disability in India has been at the level of practice, governmental and non-governmental agencies working for the rehabilitation of the disabled people, there haven’t been many efforts to study disabled people within their socio-cultural and economic contexts and to understand the experience of disablement from the perspective of the disabled person. A review of the literature shows that disability and the lived experience of persons of disability as depicted in autobiographies hardly received any attention. In this paper, I propose to examine two autobiographies written by disabled women in India. They are One Little Finger (2011) by Malini Chib and No Looking Back (2014) by Shivani Gupta. An autobiography is an important form of life writing about disability, written from inside the experience in question, it involves self-representation by definition and offers the best-case scenario for revaluation of that condition. My analysis will mainly follow theories that put forward the social model of disability. These approaches view disability as an important dimension of inequality in the social and economic structure and culture of the society in which it is found, rather than in the bodies of individuals with disabilities. I will attempt to situate the politics of disabled women’s autobiographies in the Indian cultural context and the specific challenges posed by our social environment.
Comparative Study of G+7 Storey Residential Building in Seismic Zone 5
Authors: Patel Meet , Mehta Nirmal , Butala Arjun
Published: July 2022

Abstract: The important objective of Structural engineers is to design and build a structure in such a way that damage to the structure and its structural component during the earthquake is minimize. This report aims towards the Seismic analysis of a multi- storey RCC building with symmetrical configuration. For the analysis purpose model of seven storey RCC with symmetrical floor plan is consider. Seismic Zone 5 is considering for this Research work. The analysis is carried by using Seismic Coefficient Method & Response Spectrum Analysis. Seismic Coefficient Method is a part of a Linear Static Method, where Response Spectrum Analysis is a part of a Linear Dynamic Method. E-TABS Software are used for the Analysis work. For this study, Two Models are prepared. (1) G+7 Residential Building with Columns & (2) G+7 Residential Building with Shear Walls. Various response parameters such as Story Displacement, Story Drift, Time Period and Story Stiffness can be determined. Above all factors are comprised between two models. The main parameters of the seismic analysis of structures are load carrying capacity, ductility, stiffness, damping and mass.
Predicting the Price of Pre-Owned Cars Using Machine Learning and Data Science
Authors: Kalpana G. , Durga Dr. A Kanaka , Reddy Anoop , Karuna Dr. G
Published: July 2022

Abstract: Storm Motors Is An E-Commerce Company Who Act As Mediators Between Parties Interested In Selling And Buying Pre-Owned Cars. They Have Recorded Data About The Seller And Car Details, Registration Details, Web Advertisement Details, Make And Model Information And Price. The Company Wishes To Develop An Algorithm To Predict The Price Of Pre-Owned Cars Based On Various Attributes Associated With The Car To Make A Sale Quickly, If The Price Is Reasonable And Satisfies Both The Seller And Buyer, By Comparing The Price Of Various Car Models Based On Car Features To Improve Their Business. In This Paper, We Have Conducted A Comparative Study Using Machine Learning Algorithms Like Linear Regression And Random Forest Algorithms Which Is Implemented With Jupyter Note Book. The Study Shows That Linear Regression Algorithm Performance Is More Than Random Forest Algorithm. We Have Also Experimented With Auto Ai Experimentation In Ibm Cloud Watson Studio, Which Automatically Builds The Best Predictive Model By Comparing With Other Algorithm, With Accurate Measures. In This Auto Ai Experiment We Have Found That Linear Regression Is Performing Better Than Ridge Algorithm And Random Forest. The Main Objective Of This Paper Is To Find The Best Predictive Model For Predicting Pre-Owned Car Price.
Treatment of Wastewater with Construction of Wetland
Authors: Latthe Prof. D. A.
Published: July 2022

Abstract: Constructed Wetlands are an alternative, promising technology for water/wastewater treatment and pollution mitigation. They belong to the wider category of natural treatment systems. The main principle is to exploit natural materials (gravel, sand, plants) and naturally occurring processes under controlled conditions for treatment purposes. Constructed Wetlands have been characterized as an environmentally friendly, sustainable technology which provides multiple economic, ecological, technical and societal benefits. It is a rising technology which can be effectively used for domestic, municipal and industrial wastewater treatment, as also for sludge dewatering and drying. This chapter presents an overview of this eco-technology; its different types, main design considerations and various advantages over conventional treatment methods. The theme of the project was initiated from the concept of the Constructed Wetland mechanism that can be effectively used for the treatment of waste As the constructed wetland mechanism has a wide scope to develop more than other techniques, it will be a perfect model for such kind of experimentations & the application-oriented mechanism in our college hostel in addition to the projects like energy park & the bio-gas plant. Also, it will be an ideal low-cost technology for the educational institutes to treat their waste in better manner.
How Does Access to Internet Affect Child Development
Authors: Lukman Khan Mohd Amir , Ayyub Khan Asif
Published: July 2022

Abstract: This study found no displacement effect of the Internet on children's daily activities. Rather, it was found that children who spend more time onthe Internet were more likely to spend more timewith other media, more time on some kind of physical activities, and were more socially involved.
Chatbot For Children Assistance
Authors: Patil Pranali Laxman
Published: July 2022

Abstract: Children of age 3 to 7 are unaware of language and they face trouble while learning new things so this chatbot application is designed for them to make their start towards learning easy and in interactive way. This application will help them to learn basic things required in daily life and also will entertain them. This application is helpful to enhance their skills. This is designed to provide an interactive learning medium which results in fast progress of child. A chatbot is artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, and mobile apps or through the telephone. A chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. Machine Learning and artificial intelligence are fast growing technologies and are used in any area to make human activities easy and fast. Chatbots are way more than simple conversational agents. They can be connected to various APIs which will for example enable them to deal with a wider range of children requests. Multifunctional chatbot assistance built using this technology will help children in day to day activity. During 19 pandemic some issues are raised as big concern one of them is children health and growth. Parents are unable to give their proper attention to their child due to work pressure, work from home. Chatbot assistance will help them out in daily activities and give guidelines which will beneficial to their health and growth. Chatbot will work as their study partner.
Using Face Expression Detection, Provide Music Recommendations
Authors: Gandolkar Vivek Krishna , G Mrs. Bhavana
Published: July 2022

Abstract: In the modern day, human feeling is extremely important. Human sentiments, which can be expressed or not, are the foundation of emotion. Emotion represents a person's unique behaviour, which may take many shapes. Extraction of emotion reveals a person's unique condition of behaviour. The goal of this research is to extract facial features, identify emotions, and play music in accordance with those emotions. The alternative algorithms employed are typically sluggish, less precise, and even call for extra gear such EEG or physiologic sensors. However, many of the current methods for suggesting music rely on historical data, and they utilise this data to make their recommendations. Face expressions are recorded using a local recording tool or an internal camera. Here, an algorithm is used to identify a feature in the collected image. The suggested technology will therefore play music selected depending on the facial muscles that was collected
Generating Unique Identification Number to Product Manufacturing
Authors: D P Ms. Sai Sandhya , Malge Mrs. Renuka
Published: July 2022

Abstract: It is possible to identify any product that is created, stored, or sold out using a unique identification number. It demonstrates how this programme of intermediary organisations which have been generating identification to Products of groups' exposes the purposes and Product IDs of those organisations. An increasing number of entities now have unique identifiers (UIN). UIN has the potential to make database integrations considerably more effective, which is one benefit. In order to locate duplicate records within a database or to compare identical publications across databases, unique identifiers (UIN) are thought to be an effective key. The goal of the current study is to determine how effectively UIN serve as matching criteria in the integration of product ID and manufactured product. We analyse this data to find any matching errors that may have occurred. Users of the UIN Portal application, both internal and external, will be able to request that UINs be allocated to goods made in their factories. Therefore, this project aims to create features that let users accomplish this. This project seeks to provide UIN generating features as well as Commissioning capability and will enable users to keep master data necessary for the application. These systems' main aim is to build or construct a UIN identifier for a manufactured or stored product. The information is also kept in a data base use. Additionally, it helps both the client and the administrator track products requests made to produce UINs or storing in warehouses. Once the product is no longer in use, the UIN retires. The UIN will be deleted before it is returned to the warehouse. It only becomes invalid if a defective component is fabricated and a UIN is assigned to the manufactured product. Additionally, it should be able to give the security aspect so that White box and penetration testing may be done.
IMPLEMENTASI SISTEM LAYANAN MASYARAKAT BERBASIS WEBSITE MENGGUNAKAN MOTODE WATERFALL
Authors: Husna Rafiatul Husna
Published: July 2022

AbstrakSurat meyurat menjadi kebutuhan penting oleh masyarakat dalam kepengurusan keperluannya, di Perumahan Muara Sarana Indah masih belum tersistemasinya atau masih dilakukan secara manual mengenai layanan surat menyurat yang melibatkan Ketua Rt dan Ketua Rw setempat dan arsip surat yang belum tesimpan dengan rapi. Tujuan penelitian adalah membuat sebuah sistem layanan masyarakat berbasis web menggunakan metode watefall. Metodee ini digunakan untukk mengembangkann sistem perangkat lunakk dengan mempunyai alurr hidup perangkat lunak secara bertahap dimulai dari analisis, design, pengkodean dan pengujian. Dalam merancang sistem yang digunakan adalah bahasa pemrograman database MySQL dan PHP. Dan pengujian untuk sistem menggunakan Black-boxx testing dengann pendekatan Equivalence Partitioning sedangkan pengujian yang dilakukan oleh pengguna menggunakan User Acceptance Testing (UAT). Penelitian ini menghasilkan Sistem Layanan Warga berbasis web yang mempermudah warga dalam mengurus surat – menyurat dan mempermudah Ketua RW dan Ketua RT dalam menyimpan arsip surat yang sudah diakses oleh warganya.Kata Kunci : Waterfall, Black-Box Testing, User Acceptance Testing (UAT) IMPLEMENTATION OF WEBSITE-BASED COMMUNITY SERVICE SYSTEM USING WATERFALL METHODAbstractCorrespondence is an important requirement by the community in managing their needs, at the Muara Sarana Indah Housing complex it is still not systemized or is still being done manually regarding correspondence services involving the Head off the Neighbourhood and the Head of the local Hamlet and the archive of letters that have not been stored neatly. The research objective is to create a web-based public service system using thee waterfall methode. This method is usede to develop softwaree systems by having a software life flowi in stages starting from analysisi, design, codingi and testing. In designing the systemi the database programming languagee used is MySQL and PHP. And testing for the system uses Black-box testing with the Equivalence Partitioning approach while the tests carried out by users use User Acceptance Testing (UAT). This research produces a web-based Citizen Service System that makes it easier for residents to manage correspondence and makes it easier for the Hamlet and Neighbourhood Chairs to store archives of letters that have been accessed by their citizens.Keywords : Waterfall, Black-Box Testing, User Acceptance Testing (UAT)
Supervisão acadêmica do Projeto Mais Médicos: reflexão sobre uma experiência na Bahia
Authors: Souza Luis Eugênio Portela Fernandes de
Published: July 2022

O texto traz uma reflexão sobre a experiência de supervisão acadêmica realizada no âmbito do Projeto Mais Médicos (PMM), em Salvador e Lauro de Freitas, no período de 2019 a 2021, buscando identificar o papel cumprido pelas atividades de supervisão, suas contribuições e seus limites vis-à-vis à competência definida nos documentos oficiais. Para tanto, foram analisados relatórios de supervisão e registros das reuniões de tutoria, os quais foram cotejados com a vivência do autor na função de tutor. Os resultados mostram que a supervisão cumpre o papel de apoiar o desenvolvimento de competências dos médicos atuantes no PMM, mas não alcança o objetivo normativamente definido de promover a integração ensino-serviço. Em suma, a supervisão tem um papel positivo, embora restrito, de fortalecimento da Atenção Básica.
Do PROVAB ao Programa Mais Médicos: caminhos percorridos no estado da Bahia
Authors: Santana Anderson Freitas de , Silva Kally Cristina Soares , Guimarães Maria Clara da Silva , Bittencourt Maria Ferreira , Vieira Mariângela Costa , Prado Viviane Mascarenhas Gois
Published: July 2022

A escassez e a desigualdade de recursos humanos, especialmente de médicos na Atenção Primária à Saúde, são desafios para os sistemas universais de saúde. No Brasil, diversas estratégias para minorar o problema são adotadas desde 1968. Em 2011, foi instituído o Programa de Valorização do Profissional de Atenção Básica (Provab), com a finalidade de prover e qualificar médicos, enfermeiros e odontólogos para atuarem na Saúde da Família. Associado a essa estratégia, foi criado o Programa Mais Médicos para o Brasil, em 2013, com três eixos de atuação: provimento emergencial, formação médica e investimento em infraestrutura dos serviços da rede de atenção. Este artigo tem como objetivo apresentar a experiência do Provab na Bahia, considerando os diversos pontos de vista dos autores referentes ao Provab e ao Programa Mais Médicos na Bahia, dando ênfase ao componente prioritário da formação médica em serviço, sobretudo à integração entre esses programas. Algumas estratégias foram estabelecidas, tais como: ações voltadas à qualificação da formação médica em serviço; qualificação da supervisão médica; implantação da coordenação descentralizada da supervisão; apoio institucional; e integração das comissões coordenadoras estaduais. As estratégias adotadas pelo estado da Bahia para promover a integração entre os programas se mostraram efetivas, como pode ser observado na implantação dos eixos estruturantes do Programa Mais Médicos.
Estágio de internato médico em medicina da família e comunidade no programa mais médicos: relato de experiência
Authors: Paschoalini Marcello da Silveira , Lago Inara Russoni de Lima
Published: July 2022

Um dos objetivos do Programa Mais Médicos (PMM) é proporcionar o provimento de médicos para o atendimento da população usuária do Sistema Único de Saúde (SUS) por meio do aumento da quantidade de vagas para a graduação em medicina, associado ao aumento da carga horária do graduando e atividades relacionadas ao ensino na comunidade. Este trabalho tem por objetivo descrever a experiência de estágio de estudantes de medicina nas unidades de saúde que atuam com estratégia de saúde da família (ESF) nas quais atuam médicos do PMM. Foram avaliados dados qualitativos referentes a aspectos objetivos e subjetivos envolvendo dimensões didáticas, cognitivas, comportamentais e assistenciais vivenciadas na relação estudante-médico-comunidade. Os estagiários não apresentaram dificuldade significativa quanto à adaptação ao modelo assistencial do PMM, relacionando-se de maneira harmoniosa com a equipe da unidade e com a comunidade atendida, alcançando, assim, os objetivos didáticos e formativos esperados. Nossa experiência do estágio de internato médico dentro do Programa Mais Médicos tem se mostrado exitosa.
Curso de especialização em saúde coletiva com foco na atenção básica para o programa mais médicos: análise comparativa da experiência desenvolvida pelo ISC/UFBA
Authors: Soares Catharina Leite Matos , Assis Ednir , Rangel-S Gabriela , Guimarães Jane Mary de Medeiros , Rangel-S Maria Ligia , Lima Yara Oyram Ramos
Published: July 2022

Este artigo relata a experiência da implementação do curso de especialização em saúde coletiva, realizada pela UNA-SUS/UFBA, por meio do Instituto de Saúde Coletiva (ISC) e da Faculdade de Medicina da Universidade Federal da Bahia, para a formação dos médicos vinculados ao Programa Mais Médicos (PMM) no estado da Bahia. A análise da experiência foi apresentada com base na formulação de Donabedian sobre estrutura, processo e resultado, aplicada ao curso. Para isso, foram estabelecidos critérios das três dimensões e indicadores de análise, que mostraram, ao final, uma análise positiva da proposta analisada. Os resultados apontaram que o curso apresentou uma estrutura inovadora, do ponto de vista teórico e metodológico, pelos dispositivos utilizados e pela articulação de suas atividades. No processo, foram fundamentais as experiências e vivências do tutor da aprendizagem e, por último, a importância dos projetos de intervenção focados na realidade do médico.
Perfil dos médicos Programa Mais Médicos na Bahia e a utilização da ferramenta do Telessaúde
Authors: Garcia Emerson Gomes , Andrade Beatriz Gouvêa de , Moura Liliane de Jesus , Esperidião Monique Azevedo , Souza Janaína Peralta de
Published: July 2022

A vivência no curso de pós-graduação em forma de residência em Planejamento e Gestão no Programa Mais Médicos (PMM) no estado da Bahia possibilitou a construção de um painel, cujos objetivos principais foram retratar o perfil dos médicos que atuam no estado no referido programa e a utilização da ferramenta do Telessaúde. Para construir essa experiência, a metodologia foi baseada em um estudo descritivo, que permitiu uma coleta de dados e o atendimento das metas propostas. Dessa forma, foi possível perceber que os profissionais médicos que atuam no PMM-BA são, em sua maioria, mulheres 764 (52,1%); um total de 703 (47,9%) corresponde aos homens, que declararam possuir registro profissional, sendo 922 (62,8%) no Conselho Regional de Medicina (CRM) e 520 (35,4%) no Registro Médico de Saúde (RMS); 25 (1,7%) não informaram o registro. Quanto ao uso da plataforma Telessaúde, os dados demonstraram que 567 (49,5%) conhecem e possuem cadastro na plataforma, 381 (33,2%) participaram de treinamentos e 446 (38,9%) utilizam a ferramenta. O assunto estudado permitiu propor algumas recomendações, dentre as quais destacam-se: maior investimento em infraestrutura e equipamentos eletrônicos, tais como computadores e acesso à internet, principalmente em localidades mais distantes; treinamento e orientação sobre o uso da plataforma e sua importância para o trabalho na Atenção Básica.