bluuebunny/crossref_metadata_2025 huggingface dataset:
Diversitätssensible Didaktik mit digitalen Medien
Authors: Heidkamp-Kergel Birte , Kergel David
Published: June 2022

.Digitales Lehren und Lernen sowie diversitätssensible Lehre werden oftmals unabhängig voneinander beforscht. Das kann dazu führen, dass die (historische) Schnittmenge von Digitalisierung (bzw. der frühen Internetkultur) und einer emanzipatorischen diversitätssensiblen Haltung übersehen wird. Die Identifikation dieser Schnittmenge lässt sich nicht zuletzt für eine zeitgemässe Hochschullehre nutzen: Im hochschulischen Bildungsraum spiegeln und verdichten sich gesellschaftliche Dynamiken. So ist der konstruktive Umgang mit dem digitalen Wandel und der angemessene Umgang mit Vielfalt auch eine hochschuldidaktische Herausforderung. Für den Umgang mit dieser Herausforderung lassen sich zentrale Aspekte moderner Hochschullehre wie Digitalisierung der Lehre sowie die Möglichkeiten und Grenzen einer diversitäts- und habitussensiblen Ausrichtung der Lehre nicht getrennt voneinander reflektieren. Vielmehr bilden diese Ansätze Teilstrategien, die einen Umgang mit der komplexen Herausforderung einer angemessenen Hochschullehre in Zeiten sozialer Transformationen ermöglichen. Im Folgenden werden die Teilaspekte Digitalisierung bzw. Digitalisierung der Lehre und Diversitäts- und Habitussensibilität in der Lehre diskutiert. Anschliessend wird ein Kompetenzmodell vorgestellt, welches die komplexen Anforderungen einer diversitäts- und habitussensiblen Hochschullehre im digitalen Zeitalter systematisiert.
CHIRP AUDITORY STEADY -STATE RESPONSE AS A HEARING SCREENING TOOL IN HIGH- RISK INFANTS
Authors:   Hearing & Speech Institute., Mahmoud Salwa , Fadel Hanaa ,   Hearing & Speech Institute., M. Shafeek Gehan ,   Hearing & Speech Institute.
Published: June 2022

Background:Newborn hearing screening with automated procedures usually uses broad band stimuli, such as click. Studies using the Auditory Steady-State Response (ASSR) that used specific frequency chirps named narrow band CE-chirps have shown obvious diagnostic results. Objective:To assess the value of the binaural multi-frequency chirp ASSR as a hearing screening tool. To compare chirp ASSR and click ABR as a tool for early diagnosis of hearing loss in infants with risk factors for hearing loss.Methodology: Two groups of infants were studied, group I (28 infants with risk factors) with one or more risk factor for permanent hearing loss, group II (ten infants without risk factors). Their age ranges from one to six months. Assessment of middle ear pressure using immittancemetry, and hearing threshold estimation using Click ABR and Chirp ASSR were done. Results: When comparing hearing threshold of [group (I) infants with risk factors], and [group (II) infants without risk factors] it was found that there was no statistically significant difference when hearing was evaluated by using click ABR or Chirp ASSR.By comparing average ASSR (Average thresholds of1000, 2000 and 4000 HZ) threshold with ABR threshold, there was no statistically significant difference. There was high positive correlation between ABR threshold and average ASSR. Conclusion: Chirp ASSR can be used for assessment of hearing thresholds in infants with the same accuracy of Click ABR thresholds, with more advantage perceived by ASSR in the form of frequency specific threshold estimation. The binaural multi-frequency chirp ASSR can be used as a hearing screening tool.
Una experiencia vital entre la ciencia y la filosofía
Authors: Chica Ríos Rubiel Alberto
Published: June 2022

¿Deberían los doctorandos en psicología conocer el pensamiento filosófico y los valores de la ciencia? Para ayudar a encontrar la respuesta a este interrogante, comenzaremos por decir que la filosofía y la ciencia deben estar siempre relacionadas y ninguna puede negar a la otra. Para que cada una tenga sentido y pueda darle valor a sus postulados, debe valerse de lo que cada una tiene para aportar a la hora de dar explicación a los fenómenos que se pueden revelar por medio de la ciencia y aquellos que solo tienen cabida en el pensamiento y la experiencia humana.
Aesthetics and Symbolic Meaning of Androgynous and CO-ED Style Trends in Men’s Fashion
Authors: Githapradana Dewa Made Weda
Published: June 2022

The research aimed to understand the aesthetic value and symbolic meaning of the co-ed and androgynous trends in men’s fashion. The problem discussed was how the aesthetic value and symbolic meaning of co-ed androgynous trends were in men’s fashion today. Co-ed and androgyny were one of the phenomena in men’s fashion trends today. The co-ed androgynous style featured a gender-fluid fashion concept; that was, the blurring of the binary gender opposition boundaries. Gender discrimination is a phenomenon of social problems that often surfaced. Fashion was often used as an instrument in reproducing gender identity in social systems. The development of men’s fashion had undergone significant changes in recent decades. Men’s clothing trends had become more attractive, dynamic, and no longer monotonous like conventional men’s fashion styles. The research applied a qualitative research method by collecting library data, observation, and interviews with practitioners and experts. The approach and theoretical basis used in analyzing the objects and variables were postmodern aesthetic approaches and Barthes’ semiotic theory. The object sample was the clothing designed by Alesandro Michele for the Gucci brand. The result indicates that the symbolic meanings of androgynous and co-ed trends are able to reflect social problems, such as reproducing gender identity, overhauling heteronormative stereotypes, changing gender roles, and freedom of expression without discrimination. The concept is expressed through a dynamic and free postmodern aesthetic.
Energy efficiency and the link with society
Authors: Anchundia Maria José López , Gámez María Rodríguez , Quiroz Alcira Magdalena Vélez , Miles Gino Mieles , Molina Lucio Alfredo Valarezo
Published: June 2022

The results obtained in the linking process are shown with society as one of the substantive activities, in the period 2021-2022 carried out by students of the Electrical Engineering career. The project encouraged students to train a group of people through practical methodologies to have minimum knowledge related to energy efficiency and renewable energy sources. The qualitative and quantitative method was used, which allowed describing the results of the survey without altering their respective variables. The population was made up of 45 people belonging to various cantons of the province of Manabí, such as Flavio Alfaro, Bahía de Caráquez, el Carmen, 24 de Mayo, Chone, Santa Ana, Rocafuerte and different places in the canton of Portoviejo, and province of Orellana, which were selected at random, the preparation of the didactic material was carried out. Among the results, it was highlighted that the participants did not know how energy can help the environment, but nevertheless they were aware that energy is related to the environment and dependence on society.
UBERIZAÇÃO, LUTAS SOCIAIS E PANDEMIA
Authors: Rodrigues Sheila Rosane Vieira , Wolkmer Maria de Fátima Schumacher , Menezes Manuela de Sá
Published: June 2022

O presente artigo tem como tema a uberização na fase do capitalismo neoliberal, tendo como escopo delinear as lutas dos motoboys a serviço de plataformas como Ifood, Uber, em tempos de Pandemia, com o fim de identificar o que é necessário para garantir direitos humanos fundamentais relacionados ao trabalho. Nessa direção, buscar-se-á, a partir do movimento dos motoboys, avaliar em que medida essas novas formas de relação no mundo do trabalho, anunciadas como resultantes de empreendedorismo, representam uma nova forma de exploração, especialmente em um momento no qual esta categoria tornou-se essencial para a sobrevivência de vários setores da economia. Analisar a uberização, as lutas sociais em tempos de Pandemia, e como podem os motoboys se emanciparem frente a Plataformas que se apropriam de parcela significativa do seu trabalho, sem garantir seus direitos é o objetivo geral desse trabalho. Trata-se de uma pesquisa de natureza teórico-exploratória, pautada no método de levantamento de dados por meio da técnica de pesquisa bibliográfica e como método de abordagem, o dedutivo.
#BANDIDOBOMÉBANDIDOMORTO: UMA ANÁLISE ENVOLVENDO OS CRIMES COMUNS E OS CRIMES ECONÔMICOS
Authors: Schwartz Germano André Doederlein , Da Silva Isabel Cristina Siqueira , Fayet Paulo
Published: June 2022

O presente artigo foi realizado em função do uso frequente da hashtag “Bandido bom é Bandido Morto” pelos usuários brasileiros de redes sociais Twitter e Facebook. O propósito do estudo foi o de verificar para quais tipos de crimes a hashtag é utilizada. Dessa maneira, o estudo foi conduzido por meio do método quantitativo, utilizando o foco interacional, coletando-se dados do Twitter e do Facebook de novembro de 2017 a dezembro de 2018. Os resultados demonstram que a utilização da hastag é conectada com os crimes comuns e com os crimes econômicos.
PROCESSOS ESTRUTURAIS E DIÁLOGO INSTITUCIONAL: QUAL O PAPEL DO PODER JUDICIÁRIO NA TRANSFORMAÇÃO DE REALIDADES INCONSTITUCIONAIS?
Authors: Casimiro Matheus , Peixoto da Cunha França Eduarda , Fernanda Bitencourt Nóbrega Flavianne
Published: June 2022

O presente trabalho investiga qual é o papel do juiz na transformação de realidades inconstitucionais, analisando, para tanto, as críticas que são formuladas à sua atuação em processos estruturais. Processos estruturais são processos coletivos que objetivam a transformação de estados de coisas violadores de direitos em estados de coisas nos quais esses direitos são assegurados, envolvendo, usualmente, o ajuste ou a implementação de políticas públicas. Por possibilitarem a intervenção de juízes em questões originariamente políticas, não é raro que suscitem questionamentos sobre a capacidade do Poder Judiciário de provocar mudanças sociais efetivas ou mesmo sobre a legitimidade de sua interferência. Com o intuito de debater essas questões, o estudo foi dividido em três partes, nas quais são apresentadas, respectivamente: a) o modelo bipolar do processo civil brasileiro x as características e desdobramentos dos litígios e processos estruturais; b) as principais críticas à atuação judicial em processos estruturais; c) a importância dos diálogos institucionais para os processos estruturais. O método utilizado foi o dedutivo e a pesquisa tem cunho bibliográfico-documental.
Фундаментальные характеристики проводов для контролируемых сверхпроводящих обмоток
Authors: Клименко Е.Ю.
Published: June 2022

The performance (stability) of superconducting wires is ensured by the smoothening of their transient characteristics. The same important property can be used to create reliably controlled superconducting non-degrading windings. The transition to the normal state of such windings is preceded by the appearance of an electric voltage in the area located in the maximum magnetic field. The magnitude of the stable voltage is greater, the more smoothed the transient response of the wire.
Exploring the Use of Pictograms in Privacy Agreements to Facilitate Communication Between Users and Data Collecting Entities: Randomized Controlled Trial
Authors: Ugaya Mazza Larissa , Fadrique Laura Xavier , Kuang Amethyst , Donovska Tania , Vaillancourt Hélène , Teague Jennifer , Hailey Victoria A , Michell Stephen , Morita Plinio Pelegrini
Published: June 2022

Background

Privacy agreements can foster trust between users and data collecting entities by reducing the fear of data sharing. Users typically identify concerns with their data privacy settings, but due to the complexity and length of privacy agreements, users opt to quickly consent and agree to the terms without fully understanding them.

Objective

This study explores the use of pictograms as potential elements to assist in improving the transparency and explanation of privacy agreements.

Methods

During the development of the pictograms, the Double Diamond design process was applied for 3 instances of user interactions and 3 iterations of pictograms. The testing was done by performing a comparative study between a control group, which received no pictograms, and an experimental group, which received pictograms. The pictograms were individually tested to assess their efficacy by using an estimated comprehension of information symbols test.

Results

A total of 57 participants were recruited for the pictogram evaluation phase. With the addition of pictograms, the overall understanding improved by 13% (P=.001), and the average time spent answering the questions decreased by 57.33 seconds. A 9% decrease in perceived user frustration was also reported by users, but the difference was not significant (χ24=4.80; P=.31). Additionally, none of the pictograms passed the estimated comprehension of information symbols test, with 7 being discarded immediately and 5 requiring further testing to assess their efficacy.

Conclusions

The addition of pictograms appeared to improve users’ understanding of the privacy agreements, despite the pictograms needing further changes to be more understandable. This proves that with the aid of pictographic images, it is possible to make privacy agreements more accessible, thereby allowing trust and open communication to be fostered between users and data collecting entities.

Trial Registration

ClinicalTrials.gov NCT05631210; https://clinicaltrials.gov/ct2/show/NCT05631210
The Facilitation of Clinical and Therapeutic Discoveries in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Related Diseases: Protocol for the You + ME Registry Research Platform
Authors: Ramiller Allison , Mudie Kathleen , Seibert Elle , Whittaker Sadie
Published: June 2022

Background

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, complex, heterogeneous disease that affects millions and lacks both diagnostics and treatments. Big data, or the collection of vast quantities of data that can be mined for information, have transformed the understanding of many complex illnesses, such as cancer and multiple sclerosis, by dissecting heterogeneity, identifying subtypes, and enabling the development of personalized treatments. It is possible that big data can reveal the same for ME/CFS.

Objective

This study aims to describe the protocol for the You + ME Registry, present preliminary results related to participant enrollment and satisfaction, and discuss the limitations of the registry as well as next steps.

Methods

We developed and launched the You + ME Registry to collect longitudinal health data from people with ME/CFS, people with long COVID (LC), and control volunteers using rigorous protocols designed to harmonize with other groups collecting data from similar groups of people.

Results

As of September 30, 2021, the You + ME Registry had over 4200 geographically diverse participants (3033/4339, 69.9%, people with ME/CFS; 833/4339, 19.2%, post–COVID-19 people; and 473/4339, 10.9%, control volunteers), with an average of 72 new people registered every week. It has qualified as “great” using a net promotor score, indicating registrants are likely to recommend the registry to a friend. Analyses of collected data are currently underway, and preliminary findings are expected in the near future.

Conclusions

The You + ME Registry is an invaluable resource because it integrates with a symptom-tracking app, as well as a biorepository, to provide a robust and rich data set that is available to qualified researchers. Accordingly, it facilitates collaboration that may ultimately uncover causes and help accelerate the development of therapies.

Trial Registration

ClinicalTrials.gov NCT04806620; https://clinicaltrials.gov/ct2/show/NCT04806620

International Registered Report Identifier (IRRID)

DERR1-10.2196/36798
Identifying Patients With Heart Failure Who Are Susceptible to De Novo Acute Kidney Injury: Machine Learning Approach
Authors: Hong Caogen , Sun Zhoujian , Hao Yuzhe , Dong Zhanghuiya , Gu Zhaodan , Huang Zhengxing
Published: June 2022

Background

Studies have shown that more than half of patients with heart failure (HF) with acute kidney injury (AKI) have newonset AKI, and renal function evaluation markers such as estimated glomerular filtration rate are usually not repeatedly tested during the hospitalization. As an independent risk factor, delayed AKI recognition has been shown to be associated with the adverse events of patients with HF, such as chronic kidney disease and death.

Objective

The aim of this study is to develop and assess of an unsupervised machine learning model that identifies patients with HF and normal renal function but who are susceptible to de novo AKI.

Methods

We analyzed an electronic health record data set that included 5075 patients admitted for HF with normal renal function, from which 2 phenogroups were categorized using an unsupervised machine learning algorithm called K-means clustering. We then determined whether the inferred phenogroup index had the potential to be an essential risk indicator by conducting survival analysis, AKI prediction, and the hazard ratio test.

Results

The AKI incidence rate in the generated phenogroup 2 was significantly higher than that in phenogroup 1 (group 1: 106/2823, 3.75%; group 2: 259/2252, 11.50%; P<.001). The survival rate of phenogroup 2 was consistently lower than that of phenogroup 1 (P<.005). According to logistic regression, the univariate model using the phenogroup index achieved promising performance in AKI prediction (sensitivity 0.710). The generated phenogroup index was also significant in serving as a risk indicator for AKI (hazard ratio 3.20, 95% CI 2.55-4.01). Consistent results were yielded by applying the proposed model on an external validation data set extracted from Medical Information Mart for Intensive Care (MIMIC) III pertaining to 1006 patients with HF and normal renal function.

Conclusions

According to a machine learning analysis on electronic health record data, patients with HF who had normal renal function were clustered into separate phenogroups associated with different risk levels of de novo AKI. Our investigation suggests that using machine learning can facilitate patient phengrouping and stratification in clinical settings where the identification of high-risk patients has been challenging.
Examining the Impact of COVID-19 on People With Dementia From the Perspective of Family and Friends: Thematic Analysis of Tweets
Authors: Bacsu Juanita-Dawne R , O'Connell Megan E , Cammer Allison , Ahmadi Soheila , Berger Corinne , Azizi Mehrnoosh , Gowda-Sookochoff Rory , Grewal Karl S , Green Shoshana , Knight Sheida , Spiteri Raymond J
Published: June 2022

Background

The COVID-19 pandemic is taking a serious toll on people with dementia. Given the rapidly evolving COVID-19 context, policymakers and practitioners require timely, evidence-informed research to address the changing needs and challenges of people with dementia and their family care partners.

Objective

Using Twitter data, the objective of this study was to examine the COVID-19 impact on people with dementia from the perspective of their family members and friends.

Methods

Using the Twint application in Python, we collected 6243 relevant tweets over a 15-month time frame. The tweets were divided among 11 coders and analyzed using a 6-step thematic analysis process.

Results

Based on our analysis, 3 main themes were identified: (1) frustration and structural inequities (eg, denied dignity and inadequate supports), (2) despair due to loss (eg, isolation, decline, and death), and (3) resiliency, survival, and hope for the future.

Conclusions

As the COVID-19 pandemic persists and new variants emerge, people with dementia and their family care partners are facing complex challenges that require timely interventions. More specifically, tackling COVID-19 challenges requires revisiting pandemic policies and protocols to ensure equitable access to health and support services, recognizing the essential role of family care partners, and providing financial assistance and resources to help support people with dementia in the pandemic. Revaluating COVID-19 policies is critical to mitigating the pandemic’s impact on people with dementia and their family care partners.
Feasibility and Acceptability of Internet-Based Interpersonal Psychotherapy for Stress, Anxiety, and Depression in Prenatal Women: Thematic Analysis (Preprint)
Authors: Bright Katherine S , Stuart Scott , Mcneil Deborah A , Murray Lindsay , Kingston Dawn E
Published: June 2022

BACKGROUND

Prenatal mental health is a global health concern. Despite the far-reaching impact of prenatal mental health issues, many women do not receive the psychological care they require. Women in their childbearing years are frequent users of the internet and smartphone apps. Prenatal women are prime candidates for internet-based support for mental health care.

OBJECTIVE

This study aimed to examine the feasibility and acceptability of internet-based interpersonal psychotherapy (IPT) for prenatal women.

METHODS

Semistructured interviews were conducted with women who had received internet-based IPT modules with guided support as a component of a randomized controlled trial evaluating the scale-up implementation of a digital mental health platform (The Healthy Outcomes of Pregnancy and Postpartum Experiences digital platform) for pregnant women. Qualitative thematic analysis was used to explore and describe women’s experiences. Data were analyzed for emerging themes, which were identified and coded.

RESULTS

A total of 15 prenatal women were interviewed to examine their experiences and views on the feasibility and acceptability of internet-based IPT modules. Participants found the content informative and appreciated the ways in which the digital mental health platform made the IPT modules accessible to users. Participants voiced some differing requirements regarding the depth and the way information was presented and accessed on the digital mental health platform. The important areas for improvement that were identified were acknowledging greater depth and clarity of content, the need for sociability and relationships, and refinement of the digital mental health platform to a smartphone app.

CONCLUSIONS

This study provides useful evidence regarding treatment format and content preferences, which may inform future development. It also provides research data on the feasibility and acceptability of web-based applications for prenatal mental health care.

CLINICALTRIAL

ClinicalTrials.gov NCT01901796; https://clinicaltrials.gov/ct2/show/NCT01901796
The Effects of Exergaming on Executive and Physical Functions in Older Adults With Dementia: Randomized Controlled Trial (Preprint)
Authors: Wu Shanshan , Ji Hongqing , Won Junyeon , Jo Eun-Ah , Kim Yun-Sik , Park Jung-Jun
Published: June 2022

BACKGROUND

Despite increasing interest in the effects of exergaming on cognitive function, little is known about its effects on older adults with dementia.

OBJECTIVE

The purpose of this is to investigate the effects of exergaming on executive and physical functions in older adults with dementia compared to regular aerobic exercise.

METHODS

In total, 24 older adults with moderate dementia participated in the study. Participants were randomized into either the exergame group (EXG, n=13, 54%) or the aerobic exercise group (AEG, n=11, 46%). For 12 weeks, EXG engaged in a running-based exergame and AEG performed a cycling exercise. At baseline and postintervention, participants underwent the Ericksen flanker test (accuracy % and response time [RT]) while recording event-related potentials (ERPs) that included the N2 and P3b potentials. Participants also underwent the senior fitness test (SFT) and the body composition test pre- and postintervention. Repeated-measures ANOVA was performed to assess the effects of time (pre- vs postintervention), group (EXG vs AEG), and group×time interactions.

RESULTS

Compared to AEG, EXG demonstrated greater improvements in the SFT (F1.22=7.434, P=.01), reduction in body fat (F1.22=6.476, P=.02), and increase in skeletal mass (F1.22=4.525, P=.05), fat-free mass (F1.22=6.103, P=.02), and muscle mass (F1.22=6.636, P=.02). Although there was a significantly shorter RT in EXG postintervention (congruent P=.03, 95% CI 13.581-260.419, incongruent P=.04, 95% CI 14.621-408.917), no changes occurred in AEG. EXG also yielded a shorter N2 latency for central (Cz) cortices during both congruent conditions compared to AEG (F1.22=4.281, P=.05). Lastly, EXG presented a significantly increased P3b amplitude compared to AEG during the Ericksen flanker test (congruent: frontal [Fz] F1.22=6.546, P=.02; Cz F1.22=5.963, P=.23; parietal [Pz] F1.22=4.302, P=.05; incongruent: Fz F1.22=8.302, P=.01; Cz F1.22=15.199, P=.001; Pz F1.22=13.774, P=.001).

CONCLUSIONS

Our results suggest that exergaming may be associated with greater improvements in brain neuronal activity and enhanced executive function task performance than regular aerobic exercise. Exergaming characterized by both aerobic exercise and cognitive stimulation can be used as an effective intervention to improve cognitive and physical functions in older adults with dementia.

CLINICALTRIAL

Clinical Research Information Service KCT0008238; https://cris.nih.go.kr/cris/search/detailSearch.do/24170
Exploring the role of gaming devices associated with Internet gaming disorder in Chinese gamers (Preprint)
Authors: Li Yifan , Tang Ying , Huang Shucai , Tan Linxiang , Huang Qiuping , Chen Xinxin , Lin Shuhong , Hao Jingyue , Shen Hongxian , Liao Zhenjiang
Published: June 2022

BACKGROUND

Chinese gamers use computers and mobile games widely. Consequently, concerns regarding the development of Internet gaming disorder (IGD) in adolescents have been raised. However, only a few studies have focused on the influence of gaming devices on IGD.

OBJECTIVE

This study aimed to compare sociodemographic information, gaming use characteristics, personality traits, and gaming motivations between computer game users and mobile phone game users, as well as to identify the IGD predictors.

METHODS

A total of 3593 Internet game players took part in an online survey and anonymously filled out a questionnaire containing sociodemographic information, gaming patterns, gaming motivations, the Chinese version of the Video Gaming Dependency Scale, and the Chinese Big Five Personality Inventory brief version.

RESULTS

It was found that there were significant differences between the two groups in gaming usage patterns, game genres, motivations and personality traits, and Internet game addiction scores. The study also showed that the IGD predictors were different for the two gaming device groups. Individuals using different gaming devices exhibited different characteristics, indicating that they may help predict IGD development.

CONCLUSIONS

Gaming devices should be considered during early identification, such as long daily gaming time, much money spent on gaming, neuroticism and conscientiousness. In addition, more research should be conducted on new gaming devices and IGD treatment.
EVALUATION OF IN VIVO WOUND HEALING ACTIVITY OF SOLANUM VIRGINIANUM ROOT EXTRACT ON EXCISION AND INCISION WOUND MODEL IN RATS
Authors: CHAKRABORTI PADMANAVA , AGRAWAL ANURAG , JOHRI SONIA
Published: June 2022

Objective: Evaluation of the wound healing activity of Solanum virginianum root extracts using excision and incision wound models. 
Methods: Moisture content, Ash value, Acid insoluble ash value, Water-soluble ash value, and different extractive values were studied as physicochemical parameters. Qualitative screening of each extract was carried out to determine different types of phytochemicals. In addition, a pharmacological study was conducted on groups of rats to find the effectiveness of root extracts (aqueous and alcoholic) on the wound healing process. 
Results: Following observations were noted after the physicochemical test: Moisture content, 3.2%; Ash value, 5.77%; Acid insoluble ash, 1.17%; Water-soluble ash, 7.27%; Alcohol soluble extractive, 16.77%; Water-soluble extractive, 17.02%. After a qualitative chemical examination of alcohol and aqueous root extract, alkaloids, carbohydrates, phytosterols, saponins, phenolics, proteins, and flavonoids were detected. The excision wound model showed wound contraction for the alcohol extract group on the 12th day at 90.78% and the aqueous group at 85.23%. In the incision wound model, the alcohol extract-treated group showed significant wound breaking strength compared to the control and the aqueous extract-treated group.
Conclusion: This study on the root was carried out to find evidence of the wound healing activity of its extracts. Results indicate the effectiveness of the extracts in enhancing the wound healing process in rat models. The result of qualitative screening enhances the future scope for various pharmacological approaches.
DETERMINATION OF TOTAL CARBOHYDRATES, FLAVONOIDS, ORGANIC ACIDS, MACRO-AND MICROELEMENTS IN WOLFBERRY (LYCIUM BARBARUM L.) FRUIT CULTIVATED IN ALBANIA
Authors: TUPA BLEONA , USPENSKAYA ELENA V. , POTANINA OLGA G. , BOYKO NIKOLAY N. , NASSER RAUDAS A. H.
Published: June 2022

Objective: The purpose of the study is to determine the biological activity components content of wolfberry (Lycium Barbarum L.) fruit originating from Albania. To unify the requirements for quality control of medicinal plant raw materials, it is advisable to study the qualitative composition and quantitative content of the components of this plant that determine the complexity of biological action-anti-inflammatory, neuroprotective, anti-cancer, vision-improving, and reproduction-enhancing effects.
Methods: Lycium barbarum L. fruits were analyzed for the content of total carbohydrates and fructans by spectrophotometry method. The organic acids, one flavonoid, and one scopoletin were identified and quantified by the HPLC method. Macro-and microelements were analyzed by ICP-OES.
Results: The results of the spectrophotometric analysis showed that total carbohydrate content and fructans content lie in the range of 21.763%-70.384% and 19.90-20.25%. Rutin, the main flavonoid compound in Lycium barbarum L. fruits, and scopoletin, a coumarin compound, contents lie respectively in the range of 2.10–5.48 mg/g and 0.48-0.76 mg/g. Potassium (K) is the predominant element in fruits, the content of which was 6740.75 μg/g.
Conclusion: Lycium barbarum L. fruit is a rich source of important biologically active substances. Further, the resulting data are going to be used to establish a monograph for Lycium barbarum L. fruits.
A CROSS-SECTIONAL STUDY TO ASSESS THE PHARMACOTHERAPEUTIC ADHERENCE IN PATIENTS ATTENDING THE OUTPATIENT DEPARTMENT OF RESPIRATORY MEDICINE IN A TERTIARY CARE HOSPITAL
Authors: KUSHWAHA VIRENDRA , AGRAWAL POOJA , TRIPATHI MANGESH KUMAR , KUMAR ANAND , VERMA AMIT KUMAR , SHARMA HIMANSHU
Published: June 2022

Objective: Nonadherence to anti-TB treatment may result in the emergence of multidrug-resistant TB, prolonged infectiousness, and poor tuberculosis treatment outcomes. Underuse, overuse, and improper use continue to be the most common causes of poor adherence to Bronchial Asthma therapy. The objective of the study was to determine respiratory disease medication adherence in India.
Methods: Hospital-based cross-sectional study design was conducted from Feb 2020 to July 2021. The data was collected by interviewing respiratory patients receiving Tuberculosis and Bronchial Asthma medications using Morisky’s four-item scale questionnaire. The data were analyzed with a chi-square test.
Results: From the total 203 patients of respiratory diseases, of which 180 tuberculosis patients, when asked about adherence to their medications: 128 (71.11%) of them did not forget to take the drugs, 130 (72.22%) of patients reported that they had been being careful in taking their medications, 140 (77.77%), 130 (72.22%) patients did not stop medications when they felt better and when they felt worse while taking medications respectively while in 23 patients of bronchial asthma, when asked about adherence to their medications: 14 (60.86%) of them did not forget to take the drugs, 9 (39.13%) of patients reported that they had been being careful in taking their medications, 8 (34.78%), 11(47.82%) patients did not stop medications when they felt better and when they felt worse while taking medications respectively.
Conclusion: This study revealed that 77.83% of patients were adherent while 22.16% of patients were non-adherent to the medication, of which total adherence in Tuberculosis patients was 85.52% while in Bronchial asthma patients, it was 34.78%.
Improving subacute management of post concussion symptoms: a pilot study of the Melbourne Paediatric Concussion Scale parent report
Authors: Davis Gavin A , Rausa Vanessa C , Babl Franz E , Davies Katie , Takagi Michael , Crichton Alison , McKinlay Audrey , Anderson Nicholas , Hearps Stephen JC , Clarke Cathriona , Pugh Remy , Dunne Kevin , Barnett Peter , Anderson Vicki
Published: June 2022

Aim: To pilot a modification of the Post Concussion Symptom Inventory, the Melbourne Paediatric Concussion Scale (MPCS) and examine its clinical utility. Materials & methods: A total of 40 families of concussed children, aged 8–18 years, were recruited from the emergency department. Parent responses to the MPCS in the emergency department and 2-weeks post injury determined child symptomatic status. Association between MPCS symptom endorsement and symptomatic group status was examined. Results: All additional MPCS items were endorsed by at least 25% of the parents of symptomatic children at 2 weeks. MPCS items were classified into nine symptom domains, with most falling in mood, neurological, autonomic and vestibular domains. Conclusion: The additional items and domain classifications in the MPCS have the potential to improve subacute diagnostic precision, monitoring of clinical recovery and identification of appropriate interventions post pediatric concussion.
Comparative Study of Dye Degradation by Using Green Synthesized ZnO Nanoparticle and Bacillus
Authors: G Geetha , M Lincy.
Published: June 2022

Abstract: Comparative study of methylene blue degradation by using green synthesized zinc oxide nanoparticle and microorganism. Zinc oxide nanoparticle are synthesized by using Camellia sinensis plant extract. Comparative study shows that zinc oxide nanoparticle is more effective in degradation of methylene blue dye than microorganism. ZnO nanoparticle are capable to degrade methylene blue in brief time due to its extract capped zinc oxide nanoparticle. Using Bacillus species degradation of dye increase with increasing time. Keywords: ZnO, Bacillus species, Camellia sinensis, Nanoparticle
A Renew Microbial Degradation and Valorisation of Plastic Wastes Management in the Environment
Authors: Jaiswa Ashish , Kumari Dr. Shikha , Shalini Kumari
Published: June 2022

Abstract: A developing accumulation of plastic wastes has turn out to be a severe environmental and social issue. It’s far urgent to expand innovative processes for the disposal of plastic wastes. In recent years, reports on biodegradation of synthetic plastics by using microorganisms or enzymes have sprung up, and those offer a opportunity to broaden biological treatment generation for plastic wastes. on this assessment, we've comprehensively summarized the microorganisms and enzymes which are able to degrade an expansion of normally used artificial plastics, which includes polyethylene (PE), polystyrene (PS), polypropylene (PP), polyvinyl chloride (%), polyurethane (PUR), and polyethylene terephthalate (pet). further, we have highlighted the microbial metabolic pathways for plastic depolymerization merchandise and the modern-day attempts in the direction of usage of such products as feedstock’s for microbial manufacturing of chemical substances with excessive fee. Taken together, these findings will contribute to building a theory of bio-up biking plastic wastes through connecting the biodegradation of plastic wastes to the biosynthesis of treasured chemical compounds in microorganisms. Closure, but not least, we've discussed the demanding situations in the direction of microbial degradation and valorization of plastic wastes. Plastics are found everywhere in the area and grow into a hot topic in educational circles. Big studies have focused on analytical techniques, source, abundance, transport, fate, degradation of plastics inside the environment and threats to herbal surroundings, wildlife or even human fitness. However, characteristics of plastic pollution, which might be important to recognize this rising problem, continue to be unknown to this point. Here, this paper opinion the essential characteristics of plastic pollutants within the environment to beautify present knowledge of this problem. Those traits, inclusive of diversity, persistence, global problems, mixed pollution and threats to organisms and human fitness, are severely summarized in this work. In addition, “plastic cycle” inside the environment, particularly, aquatic, atmospheric, and terrestrial device is also mentioned in this assessment. Sooner or later, we highlight current demanding situations of plastic pollution posed to the public and also suggest the studies developments in destiny paintings.
Online Teaching Quality Analysis using Learners Feedback
Authors: Kumar Ashish , Shukla Gaurav , Gupta Deepanshu , Ikram Tanveer , Sharma Anjali
Published: June 2022

Abstract: From scientific study it is proved that analyzing anything based on the data,facts,issues,problems helps in finding various problems,issues and things that needs to be changed so that the system or the outcome of the result that we want can be up to the mark.These analysis works as an important tool in maintaining the standards and quality of the outcome. Analysis in any field helps in getting insights of that particular filed. These analysis include the deep and thorough information of any thing that needs to be analyzed. The same method can also be used for the analysis of the online teaching quality that is being followed by most of the institutions, and colleges these days due to the pandemic outbreak ,so that students can attend classes in online mode while they are in their home being healthy and safe. Since there are large number of students and they have various subjects and teachers allotted to them, there can be various issues that a student can face while having their online classes. To tackle this what we can do is to make an online system that can collect the feedback of the students in each and every subject with the respective teacher. Through this online system it will be easier for the students to share their problems without any hesitation and difficulty. All these feedback’s then can be used and analyzed to solve each issues and problems faced by the students. This paper deals with the problem of feedback of students regarding their online teaching and presents an online teaching quality feedback system and its importance in improving the quality of teaching. Thus it is clearly visible that online teaching quality feedback system have the ability to improve the quality teaching and learning. Keywords: Online Teaching, Quality Analysis, Learner's Feedback
Process Parametric Optimization of CNC Vertical Milling Machine Using ANOVA Method in EN24
Authors: Fabien Mr. Barigora , Vijayakumar Mr. P.
Published: June 2022

Abstract: Materials are manufactured from casting, forging and extrusion processes have higher typical dimension tolerances due to its producing ability. So, machining processes were introduced for close tolerance assembly and improve the product working efficiencies. In response, now a day’s lots of machining processes are available such as turning, milling, drilling and grinding to overcome these problems. Milling operation is playing vital role on making the components with high accuracy and higher productivity. Subsequently, face milling operation is utilized for planning the surface of work material with improved surface texture. It is one of the important milling processes to achieve high flatness and low roughness. The work enlights the parameters influence on Surface Roughness (SR). As seen in this study, the Taguchi method provides a systematic and efficient methodology for the minimum surface roughness with far less effect that would be required for most optimization techniques. Based on the S/N ratio, the optimal parameters for the minimum surface roughness are the feed rate at level 1 (80 mm/min), the cutting speed at level 3 (1000 rpm), face mill diameter at level 3 (12 mm-E24) and the depth of cut at level 2 (2 mm). The tool diameter influences the surface roughness next to the feed rate. Keywords: EN24, MRR Face milling, Ra, DOE, Taguchi design
Comparative Study of Seismic analysis of Bridge Substructure in different Seismic Zones as per IRC Guidelines
Authors: Indulkar Nitin , Humnabad Prof. A. N. , Khadake Prof. Dr. Navnath V.
Published: June 2022

Abstract: The capacity design philosophy has currently become design norm for the seismic design of structural systems. it is necessary to assess the overstrength capacity of piers before proceeding with the design of the foundation and superstructure. This paper is devoted to developing deterministic procedures for the seismic analysis of substructure and foundation. Therefore, a moment-curvature approach is analysed. A parametric study is then conducted to investigate the factors that causes the seismic forces in the system. A simplified analysis methodology is put forward based on IRC SP 114; 2018. It is applicable for seismic design of bridges with a design service life of 100 years, considering Design Basis Earthquake (DBE). It has covered the seismic map and spectral acceleration graphs as specified in IS: 1893-Part-I- 2016. It also adopts the method prescribed for evaluation of liquefaction possibility, as specified in IS: 1893-Part-I- 2016. For the evaluation of seismic forces, Elastic Seismic Acceleration method, Elastic Response Spectrum method and Linear Time History method are specified. The IRC Guidelines describe the various types of special investigations to be carried out for bridges to be constructed in near field zones, skew, and curved bridges and so on. For loads and load combinations, IRC 6-2017 provides the guidelines and specifications. Objective of this code is to provide common procedure for design of bridges. It deals with the various loads such as vehicular loads, braking forces, wind load, water current forces and their combinations. Keywords: Seismic design of Bridge Substructure, IRC guidelines, Seismic design, Seismic analysis, seismic zones.
Machine Learning Based Analysis on Behavioural Difference Between Depression and Anxiety Symptoms
Authors: Saxena Ayushi , Dhyani Tanya , . Divyanshu
Published: June 2022

Depression and anxiety are two different versions of mood disorders. It is a state in which people used to develop some deep side effects. Depression and Anxiety can develop some serious effects on individual in terms of both physical and mental emotions. It’s main feature is sadness in extreme measures, and can often lead to suicides and mental traumas. Depression is a major illness that affect human minds in a worst sequence. According to a report by WHO (World Health Organisations) , dated June 2019-2020 , India is the most depressed country in the world, due to Covid situations and financial problems with 7% of its total population being traumatized of mental problems. And to take this problem as an illness, the first thing to do is analyzing the main difference . According to Anxiety and Depression Association of America (ADAA) anxiety and depression are the most common mental illness among people around United States. If you don’t treat your anxiety disorder you will soon develop some extreme psychological disorders and later suffer with depression . Depression cause people to have sad mood, loss of interest , low esteem , bad taste , sleeping attacks etc. Our application mainly contains mental health problem quiz questionnaire to detect the early symptoms. But this analysis can be deceived easily if a patient tried to answer differently. Hence, we come here to provide one way method to treat and detect depression and anxiety detection using Machine Learning Algorithms. We obtain major questionnaire in the form of quizzes , and users fill it on basis of their mental emotions. This machine learning data is used to analyze the early detection of mental traumas on normal people. This algorithm takes readings of emotions from the answer of quizzes given by the specific user. Classification machine learning algorithm used K nearest neighbour, Naive Bayes theorem, Decision Tree Algorithm and Random Forest classifier have been used for the detection model, Word Clouds to differentiate the positive and negative words. After all the final results the user is immediately warned of their depression level, and they are urged to get professional help given by our website. The overall model not only achieves high accuracy due to its Machine Learning Approach model , but also inherits the scalability regarding one proper input size.
Assessment of Usefulness of Block Chain Technology for Agriculture Application
Authors: Charde Ekta , Hande Kapil
Published: June 2022

Abstract: Agriculture is one of the most important sectors in any country. Increase in population all around the world has led to the need to increase the agricultural produce in the farms. To keep up with the growing demands, the agricultural sector is using IT based solutions like softwares, IOT etc. This technology shift has led to many problems as the farmers and the consumers are not aware of the technologies used and there is a possibility of mishandling of data by major stakeholders. Does there is lack of transparency and reliability on the systems used. This has led to financial Exploitation and adulteration in the agricultural industry. New technologies like blockchain can be used efficiently to prohibit such financial exploitation and adulteration. This project uses blockchain Technology the two track all the transactions that take place in the food chain from farmer to the end consumer. The system is made reliable due to the fact that underlying blockchain technology is very secure and hack proof. The data is stored very reliably on each participant's computers so that the data is available with transparency to each user. The underline blockchain Technology makes it possible to add new data into the blockchain and update the participants with the latest data as soon as possible. The project intends to raise alerts whenever any participant is found exploiting the system with higher margins than the threshold. The end consumer can trace back the food chain and hence any possibilities of adulteration or frauds can be traced back into the entire system. Keywords: Blockchain, Foodchain, Agriculture, Application, Tracking, Transparency,
Chatbot Using Python
Authors: Sahani Sweety , Mary Sushmitha
Published: June 2022

Abstract: A chatbot enables a user to simply ask questions in the same manner that they would respond to humans. The most well-known chatbots currently are voices chatbots: SIRI and Alexa. However, chatbots have been adopted and brought into the daily application at a high rate on the computer chat platform. NLP also allows computers and algorithms to understand human interactions through various languages. Recent advances in machine learning have greatly improved the accurate and effective of natural language processing, making chatbots a viable option for many organizations. This improvement in NLP is firing a great deal of additional research which should lead to continued improvement in the effective of chatbots in the years to come.A bot is trained on and according to the training, based on some rules on which it is trained, it answers questions. It is called ruled based approach. The language by which these bots can be created is Artificial Intelligence Markup Language (AIML). It is a language based on XML which allows the developer to write the rules which the bot will follow. In this research paper, We are trying to understand these chatbots and understanding their shortcomings. question or statement submitted by a user and allow the user to control over the content to be displayed Keywords: AI; ML; Wordnet; Chatbot; NLP