bluuebunny/crossref_metadata_2025 huggingface dataset:
Psychological stress impact neurotrophic factor levels in patients with androgenetic alopecia and correlated with disease progression
Authors: Cheng Yi , Lv Li-Jing , Cui Yu , Han Xiao-Mei , Zhang Yan , Hu Cai-Xia
Published: October 2024

BACKGROUND

Androgenetic alopecia (AGA) is a common form of hair loss that can be influenced by psychological factors.

AIM

To investigate the impact of mental stress on neurotrophic factors in patients with AGA and correlate the findings with the progression of AGA.

METHODS

A total of 120 patients with AGA were analyzed in this study, which were divided into a non-stress group (n = 30) and a stress group (n = 90) on the basis of the presence or absence of psychological stress confirmed by Depression Anxiety Stress Scale-21 scale. The baseline demographic characteristics, serum cortisol levels, hair growth parameters, neurotrophic factors, and AGA progression scores between the non-stress and stress groups were compared. Correlation analyses were conducted to assess the relationships among stress, neurotrophic factors, hair loss progression, and AGA progression.

RESULTS

This study revealed significantly higher cortisol levels throughout the day in the stress group than in the non-stress group. The stress group exhibited lower levels of nerve growth factor, brain-derived neurotrophic factor, and glial cell line-derived neurotrophic factor and higher expression levels of neurotrophin (NT)-3 and NT-4 than the non-stress group. Hair parameters indicated lower hair diameter, decreased hair density, and more severe AGA grading in the stress group, whereas follicle count and terminal/vellus hair ratio showed no significant differences between the two groups. After 1 year of treatment with 5% minoxidil, efficacy was observed to be lower but AGA progression was notably more pronounced in the stress group than in the non-stress group. Disease progression was positively correlated with high stress and NT-4 levels.

CONCLUSION

This study provides compelling evidence of the influence of mental stress on neurotrophic factors and its correlation with the progression of AGA. The findings underscore the need for a comprehensive approach to the management of AGA that considers the physiological and psychosocial aspects. Further research is warranted to validate the findings and explore targeted therapeutic interventions for individuals with stress-related AGA.
Analysis of risk factors for postpartum depression after cesarean section in women with early-onset preeclampsia
Authors: Wang Ran , Liang Xin , Su Xing-Yan
Published: October 2024

BACKGROUND

Early-onset preeclampsia significantly increases maternal and fetal morbidity and mortality. Many pregnant women with early onset preeclampsia choose cesarean section as their delivery method. Although extensive research has explored the association between postpartum depression (PPD) and cesarean section, few studies have investigated the risk factors after cesarean section in women with early-onset preeclampsia.

AIM

To examine these risk factors through a retrospective, observational analysis of 287 women who underwent a cesarean section for early preeclampsia between June 2014 and March 2024.

METHODS

Participants were assessed in person during the 32nd week of pregnancy, 2 days post-cesarean, and 6 weeks postpartum. According to the Edinburgh Postnatal Depression Scale (EPDS), participants who underwent cesarean section were divided into PPD (n = 60) and non-PPD groups (n = 227). Furthermore, PPD was diagnosed at 6 weeks postpartum according to depressive symptoms (EPDS score ≥ 11). The demographic and clinical features of PPD were screened. Multivariate logistic regression analysis was used to identify PPD risk factors.

RESULTS

The prevalence of PPD was 20.9% (60/287) among the 287 women who underwent cesarean section for early-onset preeclampsia. Multivariate logistic regression analyses revealed that advanced age (age > 40 years) [odds ratio (OR) = 1.93, 95%CI: 1.31-2.82], previous preeclampsia (OR = 7.15, 95%CI: 5.81-8.85), pre-pregnancy obesity (OR = 2.42, 95%CI: 1.62-3.63), gestational diabetes mellitus (OR = 3.52, 95%CI: 2.51-4.92), preexisting hypertension (OR = 1.35, 95%CI: 1.03-1.89), PPD symptoms (EPDS ≥ 11) at 2 days postpartum (OR = 6.15, 95%CI: 1.32-28.35), high prenatal self-rating anxiety scale score (OR = 1.13, 95%CI: 1.06-1.18), and pain at 6 weeks postpartum (OR = 2.16, 95%CI: 1.28-3.66) were independently associated with PPD.

CONCLUSION

Risk factors for PPD after cesarean section in women with early-onset preeclampsia include advanced age (age > 40 years), pre-pregnancy obesity, previous preeclampsia, gestational diabetes mellitus, preexisting hypertension, PPD symptoms (EPDS ≥ 11) at 2 days postpartum, prenatal anxiety, and pain at 6 weeks postpartum. The early identification of these factors and interventions can mitigate the risk of PPD.
Effect of resilience on quality of life and anxiety in patients with breast cancer
Authors: Kong Ling-Xia , Yang Yong-Xia , Zhao Qian , Feng Zhi-Lin
Published: October 2024

BACKGROUND

The incidence of breast cancer is high, with serious implications in terms of lives and health. Relevant data show that there are approximately 1 million new cases of breast cancer reported annually, with a rising trend. Some patients have poor treatment effects and are prone to anxiety and other negative emotions, which affect their quality of life (QoL).

AIM

To explore the correlation between mental resilience, QoL, and anxiety in patients with breast cancer.

METHODS

Using convenience sampling, 200 patients with breast cancer were selected from the First Affiliated Hospital of Hebei North University. These patients were investigated using the Conner-Davidson Resilience Scale, Self-Rating Anxiety Scale, and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire to analyze the impact of resilience in patients with breast cancer on their QoL and anxiety.

RESULTS

The mean (SD) mental resilience score of the patients with breast cancer was 59.68 (± 9.84) points, the anxiety score was 49.87 (± 8.26) points, and the QoL score was 59.73 (± 8.29) points. Overall, they showed low mental resilience, mild anxiety, and medium QoL. Anxiety was negatively correlated with mental resilience and QoL (r = -0.275, r = -0.289, P < 0.05). QoL was positively correlated with mental resilience (r = 0.513, P < 0.05). Anxiety was a mediating variable between mental resilience and QoL, accounting for 8.58% of the mediating effect.

CONCLUSION

Regarding psychological elasticity, anxiety plays an intermediary role in QoL among patients with breast cancer. Medical staff can improve patients' mental resilience by reducing their anxiety and improving their QoL.
Influence of the continuing COVID-19 epidemic on sleep quality and psychological status of healthcare workers in private institutions
Authors: Ho Man-In , Wu Zhe-Hao , Chen Yu-Ying , Leong Weng-Io , Wang Jue , Zhou Hua , Wu Zi-Tuo , Mao Ying-Qi , Du Jia-An , Zheng Yi , Yu Yi , Do Lago Comandante Paulo , Yu Li-Li , Wu Qi-Biao
Published: October 2024

BACKGROUND

On January 22, 2020, Macao reported its first case of coronavirus disease 2019 (COVID-19) infection. By August 2021, the situation had escalated into a crisis of community transmission. In response, the government launched a recruitment campaign seeking assistance and services of healthcare workers (HCWs) from the private sector throughout Macao. These participants faced concerns about their own health and that of their families, as well as the responsibility of maintaining public health and wellness. This study aims to determine whether the ongoing epidemic has caused them physical and psychological distress.

AIM

To examine the influence of COVID-19 on the sleep quality and psychological status of HCWs in private institutions in Macao during the pandemic.

METHODS

Data were collected from December 2020 to January 2022. Two consecutive surveys were conducted. The Pittsburgh Sleep Quality Index (PSQI) scale, Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS) were employed as investigation tools.

RESULTS

In the first-stage survey, 32% of HCWs experienced a sleep disorder, compared to 28.45% in the second-stage survey. A total of 31.25% of HCWs in the first-stage survey and 28.03% in the second had varying degrees of anxiety. A total of 50.00% of HCWs in the first-stage survey and 50.63% in the second experienced varying degrees of depression. No difference in PSQI scores, SAS scores, or SDS scores were observed between the two surveys, indicating that the COVID-19 epidemic influenced the sleep quality and psychological status of HCWs. The negative influence persisted over both periods but did not increase remarkably for more than a year. However, a positive correlation was observed between the PSQI, SAS, and SDS scores (r = 0.428-0.775, P < 0.01), indicating that when one of these states deteriorated, the other two tended to deteriorate as well.

CONCLUSION

The sleep quality, anxiety, and depression of HCWs in private institution in Macao were affected by the COVID-19 epidemic. While these factors did not deteriorate significantly, the negative effects persisted for a year and remained noteworthy.
Changes in postoperative depression and anxiety and their relationship with recovery from femoral head necrosis: A longitudinal study
Authors: Fang Guo-Zheng , Lin Jie , Cao Lie-Hu , Liu Tong-Sheng , Ma Yu-Hong , Yang Lu
Published: October 2024

BACKGROUND

Femoral head necrosis (FHN) can significantly affect patients' psychological well-being and functional outcomes. However, the long-term relationship between postoperative depression, anxiety, and functional recovery in patients with FHN remains unclear.

AIM

To investigate the dynamic changes in postoperative depression and anxiety and their relationship with functional recovery in patients with FHN for 3 years.

METHODS

Ninety-three patients with FHN who underwent surgical treatment in March 2020 to 2023 were enrolled in this longitudinal study. Depression and anxiety status were assessed using the hospital anxiety and depression scale (HADS) at baseline, 6 months, 1, 2, and 3 years postoperatively. Functional recovery was evaluated using the Harris hip score (HHS). The dynamic changes in HADS and HHS were analyzed using repeated measures ANOVA; the relationship between depression/anxiety status and functional recovery was examined using Pearson’s correlation analysis.

RESULTS

The mean HADS-depression (HADS-D) and HADS-anxiety (HADS-A) scores significantly improved over time (P < 0.001). The prevalence of depression and anxiety decreased from 36.6% and 41.9% at baseline to 10.8% and 12.9%, respectively, at 3 years postoperatively. The mean HHS increased significantly from 52.3 ± 10.5 at baseline to 88.1 ± 7.2 at 3 years postoperatively (P < 0.001). Significant negative correlations were found between HADS-D/HADS-A scores and HHS at all time points (P < 0.05).

CONCLUSION

The severity of depression and anxiety negatively correlated with functional recovery, highlighting the importance of psychological interventions in the management of patients with FHN.
Investigation and analysis of negative emotion in patients with diabetic retinopathy after vitrectomy
Authors: Ju Zhi-Heng , Wang Mei-Ju
Published: October 2024

BACKGROUND

As the incidence of diabetes continues to increase, the number of patients with diabetic retinopathy (DR) also increases each year. After undergoing vitrectomy for DR, patients often experience negative emotional problems that negatively affect their recovery.

AIM

To investigate negative feelings in patients with DR after vitrectomy and to explore related influencing factors.

METHODS

A total of 146 individuals with DR who were accepted for treatment at The Third People’s Hospital of Changzhou from May 2021 to April 2023 were recruited to participate in this study. All patients underwent vitrectomy. The self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were used to assess the degree of anxiety and depression 2-3 days after the operation. The participants were divided into a healthy control group and a negative emotion group. The patients’ general demographic characteristics and blood glucose levels were collected. Logistic regression analysis was used to analyze the factors influencing negative feelings post-operation. Pearson’s correlation coefficient was used to analyze the association between SAS scores, SDS scores, and blood glucose levels.

RESULTS

The control group included 85 participants. The negative emotion group comprised 40 participants with anxiety, 13 with depression, and eight with both. Logistic regression showed that being female (OR = 3.090, 95%CI: 1.217-7.847), a family per capita monthly income of < 5000 yuan (OR = 0.337, 95%CI: 0.165-0.668), and a longer duration of diabetes (OR = 2.068, 95%CI: 1.817-3.744) were risk factors for negative emotions in patients with DR after vitrectomy (P < 0.05). The concentrations of fasting plasma glucose (FPG), 2-hour postprandial glucose (2hPG), and glycated hemoglobin (HbA1c) in the negative emotion group exceeded those in the control group (P < 0.05). SAS scores were positively associated with FPG (r = 0.422), 2hPG (r = 0.334), and HbA1c (r = 0.362; P < 0.05). SDS scores were positively correlated with FPG (r = 0.218) and 2hPG (r = 0.218; P < 0.05).

CONCLUSION

Sex, income level, and duration of diabetes were factors that influenced negative emotions post-vitrectomy. Negative emotions were positively correlated with blood glucose levels, which can be used to develop intervention strategies.
Tree: Reducing the use of restrictive practices on psychiatric wards through virtual reality immersive technology training
Authors: Phiri Peter , Pemberton Laura , Liu Yang , Yang Xiaojie , Salmon Joe , Boulter Isabel , Sajid Sana , Clarke Jackie , McMillan Andy , Shi Jian Qing , Delanerolle Gayathri
Published: October 2024

BACKGROUND

Restrictive practices (RPs) are defined by measures linked to physical and chemical restraints to reduce the movement or control behaviours during any emergency. Seclusion is an equal part of RPs intended to isolate and reduce the sensory stimulation to safeguard the patient and those within the vicinity. Using interventions by way of virtual reality (VR) could assist with reducing the need for RPs as it could help reduce anxiety or agitation by way of placing users into realistic and immersive environments. This could also aid staff to and change current RPs.

AIM

To assess the feasibility and effectiveness of using a VR platform to provide reduction in RP training.

METHODS

A randomised controlled feasibility study, accompanied by evaluations at 1 month and 6 months, was conducted within inpatient psychiatric wards at Southern Health National Health Service Foundation Trust, United Kingdom. Virti VR scenarios were used on VR headsets to provide training on reducing RPs in 3 inpatient psychiatric wards. Outcome measures included general self-efficacy scale, generalised anxiety disorder assessment 7 (GAD-7), Burnout Assessment Tool 12, the Everyday Discrimination Scale, and the Compassionate Engagement and Action Scale.

RESULTS

Findings revealed statistically significant differences between the VR and treatment as usual groups, in the Everyday Discrimination Scale items Q8 and Q9: P = 0.023 and P = 0.040 respectively, indicating higher levels of perceived discrimination in the VR group. There were no significant differences between groups in terms of general self-efficacy, generalised anxiety disorder assessment 9, and Burnout Assessment Tool 12 scores. A significant difference was observed within the VR group for compassionate engagement from others (P = 0.005) over time. Most respondents recorded System Usability Scale scores above 70, with an average score of 71.79. There was a significant reduction in rates of RPs in the VR group vs treatment as usual group with a fluctuating variability observed in the VR group likely due to external factors not captured in the study.

CONCLUSION

Ongoing advancement of VR technology enables the possibility of creating scenarios and simulations tailored to healthcare environments that empower staff by providing more comprehensive and effective training for handling situations.
Brain networks in newborns and infants with and without sensorineural hearing loss: A functional near-infrared spectroscopy study
Authors: Tan Juan , Hou Qian-Mei , Zhang Fen , Duan Xu , Zhang Yan-Long , Lee Yu-Jun , Yan Hao
Published: October 2024

BACKGROUND

Understanding the impact of early sensory deficits on brain development is essential for understanding developmental processes and developing potential interventions. While previous studies have looked into the impact of prenatal experiences on language development, there is a lack of research on how these experiences affect early language and brain function development in individuals with sensorineural hearing loss (SNHL).

AIM

To investigate SNHL effects on early brain development and connectivity in 4-month-olds vs healthy newborns and controls.

METHODS

The research involved analyzing the functional brain networks of 65 infants, categorized into three groups: 28 healthy newborns, 22 4-month-old participants with SNHL, and 15 age-matched healthy participants. The resting-state functional connectivity was measured and compared between the groups using functional near-infrared spectroscopy and graph theory to assess the brain network properties.

RESULTS

Significant differences were found in resting-state functional connectivity between participants with SNHL and age-matched controls, indicating a developmental lag in brain connectivity for those with SNHL. Surprisingly, SNHL participants showed better connectivity development compared to healthy newborns, with connectivity strengths of 0.13 ± 0.04 for SNHL, 0.16 ± 0.08 for controls, and 0.098 ± 0.04 for newborns. Graph theory analysis revealed enhanced global brain network properties for the SNHL group, suggesting higher communication efficiency at 4 months. No significant differences were noted in network properties between 4-month-old SNHL participants and neonates. A unique pattern of central hubs was observed in the SNHL group, with 2 hubs in the left hemisphere compared to 6 in controls.

CONCLUSION

4-month-old infants with SNHL have a distinct brain network pattern with efficient long-distance information transmission but less effective local communication compared to age-matched controls.
Research hotspots and trends in transcranial magnetic stimulation for cognitive impairment: A bibliometric analysis from 2014 to 2023
Authors: Zhang Qi , Zhu Peng-Peng , Yang Lun , Guo Ai-Song
Published: October 2024

BACKGROUND

Cognitive impairment, which manifests as a limited deterioration of specific functions associated with a particular disease, can lead to a general deterioration of the patient’s standard of living. Transcranial magnetic stimulation, a non-invasive neuromodulation technique, is frequently employed to treat cognitive impairment in neuropsychiatric disorders.

AIM

To analyzed the state of international research on neuromodulation methods for treating cognitive impairment between 2014 and 2023, with the aim of exploring the state of research worldwide and the most recent developments in this particular area.

METHODS

Articles and reviews pertaining to neuromodulation methods for cognitive impairment were examined using the web of science database between January 2014 and December 2023. Publications, nations, organizations, writers, journals, citations, and keywords data from the identified studies were systematically analyzed using the CiteSpace 6.3. R1 software.

RESULTS

A total of 2371 documents with 11750 authors and 9461 institutions, with some co-occurrences, were retrieved. The quantity of yearly publications is showing an increasing trend. The United States and China have emerged as important contributors. Among the institutes, Harvard University had the highest number of publications, while Rossi S an author who is frequently cited. Initially, the primary keywords included human motor cortex, placebo-controlled trials, and serotonin reuptake inhibitors. However, the emphasis gradually moved to substance use disorders, supplementary motor areas, neural mechanisms, and exercise.

CONCLUSION

The use of neuromodulation techniques to treat cognitive impairment has drawn interest from academics all around the world. This study revealed hotspots and new trends in the research of transcranial magnetic stimulation as a cognitive impairment rehabilitation treatment. These findings are hold significant potential to guide further research and thus promote transcranial magnetic stimulation as a treatment method for cognitive impairment.
Emotion Classification from Speech Waveform Using Machine Learning and Deep Learning Techniques
Authors: Pai Smitha Narendra , Shanthi Punnath  , Balakrishnan
Published: October 2024

Emotions play a key role in determining the human mental state and indirectly express an individual’s well- being. A speech emotion recognition system can extract a person’s emotions from his/her speech inputs. There are some universal emotions such as anger, disgust, fear, happiness, pleasantness, sadness and neutral. These emotions are of significance especially in a situation like the Covid pandemic, when the aged or sick are vulnerable to depression. In the current paper, we examined various classification models with finite computational strength and resources in order to determine the emotion of a person from his/her speech. Speech prosodic features like pitch, loudness, and tone of speech, and work spectral features such as Mel Frequency Capstral Coefficients (MFCCs) of the voice were used to analyze the emotions of a person. Although sequence to sequence state of the art models for speech detection that offer high levels of accuracy and precision are currently in use, the computational needs of such approaches are high and inefficient. Therefore, in this work, we emphasised analysis and comparison of different classification algorithms such as multi layer perceptron, decision tree, support vector machine, and deep neural networks such as convolutional neural network and long short term memory. Given an audio file, the emotions that were exhibited by the speaker were recognized using machine learning and deep learning techniques. A comparative study was performed to identify the most appropriate algorithms that could be used to recognize emotions. Based on the experiment results, the MLP classifier and convolutional neural network model offered better accuracy with smaller variations when compared with other models used for the study.
Comparative Analysis of Deep Learning Models for Building Extraction from High-resolution Satellite Imagery
Authors: Chueprasert Tachasit , Udomchaiporn Akadej , Intagosum Sarun
Published: October 2024

In this research, an approach to extract buildings from Google's satellite imagery was proposed. The performances of various deep learning models (U-Net, RIU-Net, U-Net++, Res-U-Net, and DeepLabV3+) on pre-processed datasets were compared. The models were trained using the similarity metrics of Intersection over Union (IoU) and Dice Similarity Coefficient (DSC). The best-performing models among the segmentation techniques were Res-U-Net and DeepLabV3+. Res-U-Net, an enhanced version of the traditional U-Net model that incorporates residual connections for improved feature propagation, achieved an F1 score of 85.43% when using the RGB dataset. Similarly, DeepLabV3+ also achieved high performance on the Enhanced RGB dataset, obtaining an F1 score of 85.18% after applying pre-processing techniques. This research highlights the significance of color as a dominant feature for accurate building extraction from satellite images. The findings contribute to improved methodologies for building identification, benefiting urban planning, and disaster management applications.
DE LIOZ À CARRARA: AS TRAJETÓRIAS DAS MARMORARIAS ÍTALO- AMAZONENSE E A REFORMADORA E A ARTE TUMULAR EM MANAUS-AM
Authors: De Carvalho Pedrosa Fábio Augusto
Published: October 2024

Os cemitérios oitocentistas possuem o melhor da arte escultórica de outrora. São anjos, anjinhos, pranteadoras, cruzes, colunas, capelas, famílias inteiras representadas no último adeus, uma profusão de símbolos sagrados e profanos impressos em mármores de Lioz e Carrara. Essas peças eram adquiridas em marmorarias especializadas em obras tumulares, que contavam com grandes estoques de pedras e possuíam uma equipe de técnicos e artistas diplomados. No presente estudo serão reconstituídas as trajetórias das primeiras marmorarias de Manaus entre fins do século XIX e as primeiras décadas do século XX, que foram a Ítalo-Amazonense e A Reformadora, ambas de italianos, e analisadas suas produções que se encontram no Cemitério de São João Batista.
 
Palavras-chave: Marmorarias, Arte tumular, Manaus.
Os FESTEJOS DE SANTA TERESA D’ÁVILA COMO POSSIBILIDADE DE PATRIMÔNIO IMATERIAL: CULTURA POPULAR, MEMÓRIA E IDENTIDADE DE IMPERATRIZ-MA (1920-1940)
Authors: Oliveira Melo Eduardo , José Rodrigues Maciel Rodrigo , Freire de Santana Gilberto
Published: October 2024

Partindo de uma contraposição às impressões negativas de Carlota Carvalho (2000) sobre a cidade de Imperatriz-MA no início do século XX, o presente artigo busca visibilizar a presença de uma cultura popular na cidade a partir dos festejos de Santa Teresa d’Ávila, determinar o papel desses para a constituição da identidade e da memória da cidade, bem como afirmar a possibilidade da apreciação dos festejos como patrimônio cultural imaterial da cidade. Em um primeiro momento, a metodologia etnográfica aplicada ao estudo histórico possibilitou compreender uma circularidade de sentidos nesses eventos que remetem simultaneamente à “cultura popular” e à “cultura dominante”. A aglutinação de diferentes grupos sociais nessas festas sugere a força dessas como marcadoras de uma identidade cultural e de uma memória coletiva do que seria “ser” de Imperatriz, o que se percebe através de marcas e representações desses eventos em várias partes da cidade e nos meios de comunicação oficiais.
DO RURAL AO URBANO: TERRITORIALIDADES NEGRAS NA CIDADE DE SÃO PAULO ATRAVÉS DO SAMBA PAULISTANO
Authors: Kussaba Kirihara Nayara Mika , Nogueira da Silva Giovanna , Bilotta da Silva Renato
Published: October 2024

O presente artigo desenvolve as articulações que envolveram o desenvolvimento do samba na cidade de São Paulo ocorridas no pós-abolição. Para tal, é discutido o surgimento e evolução do samba durante as décadas de 1910 e 1920 em seu contexto original, a conceituação de território e das territorialidades negras existentes na cidade de São Paulo nas décadas de 1930 e 1940 (em especial nos bairros da Barra Funda e Bexiga) bem como a chegada de expoentes do samba rural localizado na cidade de Pirapora do Bom Jesus na cidade. Tal interação criou um samba urbano que difere substancialmente da formação do samba carioca, embora o mesmo tenha perdido determinadas características ao longo dos anos. Por fim é debatido sobre as implicações da urbanização do samba rural em consonância com o processo de urbanização social.
"PATRIMÔNIO NAS PRAÇAS”: POSSIBILIDADES DE DESVENDAR AS MEMÓRIAS DE FORTALEZA COM O PROJETO “BOM DE FORTALEZA” (2017-2018)
Authors: Rodrigo Silva Pinheiro Adson , Rodrigues Holanda Ligia
Published: October 2024

Este artigo analisa o projeto “Bom de Fortaleza”, realizado pela Secultfor  em sete praças da cidade de Fortaleza, entre os anos de 2017 e 2018, com foco nas atividades de educação patrimonial desenvolvidas por historiadores com vistas ao fortalecimento do sentimento de pertencimento ao bairro e à valorização da memória e do patrimônio cultural local. Para analisar as práticas educativas e suas ressonâncias na vida comunitária, realizamos um recorte, debruçando-nos sobre a experiência do Pólo de Lazer da Av. Sargento Hermínio, na Regional I e partimos dos relatos feitos pelos historiadores, da análise dos planos e da experiência in loco dos autores. Este artigo apresenta o relato de uma ação educativa e reflexões acerca desta experiência, destacando suas potencialidades na preservação e divulgação do patrimônio histórico e cultural da cidade.
Consumer Behavior Analysis through Advanced-Data Techniques: A Review for Utilities in Retail Marketing
Authors: Jagdishbhai Sapara Neetaben , H. Patel Dr. Hemant
Published: October 2024

This review offers a comprehensive analysis of the use of cutting-edge data strategies, including Big Data analytics, Machine Learning (ML), and Artificial Intelligence (AI), etc. in understanding and predicting consumer behavior. The convergence of these technologies has enabled marketers to uncover more detailed knowledge about consumer preferences and enhance customer engagement & satisfaction. By reviewing various methodologies, this study showcases the ways in which these tools are leveraged for segment consumers, predict consumer buying habits, and optimize marketing strategies. Additionally, the paper explores the Social media data utilization in real-time consumer analytics, demonstrating their effectiveness in personalizing marketing efforts and improving customer experience. The challenges of data privacy, ethical considerations, and the necessity for more robust analytical tools are also discussed. The review concludes by identifying potential research paths that could drive forward the field of consumer behavior analysis in retail marketing. Key Words: Artificial Intelligence, Big Data, Consumer Behavior, Machine Learning, Retail Marketing.
A Study on Benefits of Financial Planning of an Individual
Authors: M PRAVEEN KUMAR
Published: October 2024

this research examines the role of financial planning in promoting financial stability and success among individuals. Using a mixed-methods approach, this study finds that financial planning is positively associated with increased savings, wise investment decisions, and reduced debt. The results highlight the significance of financial planning in enhancing financial resilience and achieving long-term financial goals. This study investigates the benefits of financial planning for individuals, examining its impact on investment decisions, savings, and overall well-being. Keywords— promoting financial stability, investment decision, financial planning.
Exploring Employee Satisfaction, Feedback, and Retention: The Impact of Workplace Support and Alignment
Authors: S LAKSHMANAN , Raaj Dr. Kishore
Published: October 2024

Any firm must prioritize employee retention if it is to survive and grow its workforce in the current cutthroat job market. The paper's main objective is to concentrate on The Well-being of the personnel in the business and their retention in the organization. This review paper offersa thorough analysis of the subject at hand. The difficulties in balancing work and life in the modern world are discussed in the paper. It also discusses the significance of retention and well-being in the workplace and how much emphasis should be placed on them by a business.
Biophilic Design in Campus Planning – A Critical Review
Authors:   Department of Architecture.  Periyar Maniyammai Institute of Science and Technology.  Thanjavur., L.S Sindhu Barathi
Published: October 2024

Biophilic design, an innovative approach that integrates nature into built environments, has garnered significant attention in campus planning as a means to enhance the well-being of students, faculty, and staff. This design philosophy emphasizes the inherent human connection to nature, promoting psychological and physiological benefits through the incorporation of natural elements in educational settings. This paper explores the principles of biophilic design and its application in campus planning, highlighting its potential to improve academic performance, foster community engagement, and increase overall satisfaction within educational institutions. Case studies from various campuses demonstrate successful implementations of biophilic strategies, such as green roofs, natural lighting, and outdoor learning spaces. The findings suggest that biophilic design not only enhances the aesthetic appeal of campuses but also contributes to sustainability goals, making it a vital consideration for future educational developments. Ultimately, this research underscores the importance of designing educational environments that nurture both the mind and the body, advocating for a holistic approach to campus planning that prioritizes connectivity to nature.
Predicting House Prices Using Regression Model
Authors: Tulsyan Rajiv , Shukla Pranjal , Singh Tushar , Bhardwaj Anshul
Published: October 2024

This paper shows a study on the development of a predictive model for house prices. The model uses machine learning techniques to analyze a large dataset of of housing market data, including demographic information, real estate trends, and economic indicators. The goal of the model is to accurately predict the sale prices of a house given its features and traits. To achieve this target, the study employs feature selection and engineering methods to determine the most significant predictors of house prices [1]. The results of the model are evaluated using standard metrics, sucha as root mean squared error [RMSE] and mean absolute error [MAE]. The results show that the proposed model outperforms benchmark model and provides a reliable prediction of house prices. The model can be used by real estate professionals, policymakers, and homebuyers to gain insights into the housing market and make the right choice [3]. Keywords- Regression, prediction, house price, Machine Learning.
From Traditional to Digital: Evaluating the Role of Spirituality in Mental Health and Therapy
Authors: Bobade Aahana , Fernandes Alisha , Iyer Shridhar , Kamat Pawan
Published: October 2024

The increasing number of mental health issues has obliged us to find new methods that are not only innovative but also so easy that they can be used by almost everybody. The given paper examines the progress and effect of the mental health and life- assisting chat-bot. The main idea of the chat-bot incorporates elements from the Bhagavad Gita, the ancient spiritual manual. Information was collected to measure the public's view of introducing spirituality into the traditional treatment, the results reveal that the majority back such a venture. A study (n=51) was conducted, and respondents were asked questions about their age, religion, opinion on spirituality and mental health, and choice for which method online therapy or traditional therapy. It was found that out of all the respondents, (80.4% aged 16-25) there was a large majority (88.2%) that mentioned the spiritual aspect of mental well- being. There were a lot (most responses were YES) of them have been into spiritual exercises when they faced the difficulties, they still believe that it still could be personalized intervention to use. Even as traditional therapy is the main option (70.6%), a significant number of respondents (29.4%) still feel comfortable with online help. Those research counterparts that focus on the role of technology in mental health improvements which tend to look to the public for a response, are the ones that discuss the chance for the Bhagavad-Gita chatbot as a supplementary tool. The proposed chatbot will make use of Natural Language Processing (NLP) in understanding a user query and generating an answer through reference to Bhagavad Gita. Key Words: Bhagavad Gita, Mental health, Chatbot, Spiritual therapy, Technology-assisted therapy
Cost-Effective Salt Harvesting: Efficient and Sustainable Production through Technological Innovation
Authors: Agrawal Eshna , Malviya Jitendra
Published: October 2024

Maximizing the quantity, quality, and cost-efficiency of salt production requires innovative approaches. This study presents a novel geo-membrane (GM)-based salt production technique that significantly improves salt yield and quality for Indian salt producers. The GM method is simple to implement across various salt production facilities, requiring only basic equipment. Compared to traditional methods, statistical analyses demonstrate substantial improvements in both the quantity and quality of salt produced with the GM method. The process enhances salt purity by 12–15%, reduces production costs by 15-20%, and prevents brine leakage, optimizing solar energy utilization in crystallization ponds. Keywords: salt production, geo-membrane, salt crystallization pond, cost-efficiency,sustainability
A Review of Hemodynamic Parameters in Cerebral Aneurysm
Authors:   Department of Mechanical Engineering Vishwakarma Institute of Technology, Pune, Kadam Atharva , Joshi Atharva ,   Department of Mechanical Engineering Vishwakarma Institute of Technology, Pune
Published: October 2024

Abstract—A cerebral aneurysm is a localized dilation that weakens the wall of a blood vessel in the brain. This condition comes in the form of abnormal widening, ballooning or in the form of a bleb. Gaining an understanding of the initiation, growth, and rupture of cerebral aneurysm has played a critical role in finding treatments that prevent the possibility of mortality and morbidity. Cerebral aneurysm develops as a result of the thinning of artery wall, and it is often difficult to diagnose prior to its rupture that leads to several fatal diseases, including brain damage, hemorrhagic stroke, behavioral inconsistency, and eye movement disturbance. A computational fluid dynamic study of cerebral aneurysm employs blood flow simulation wherein hemodynamic parameters indicate the rupture status of a vessel. These hemodynamic parameters actually trigger the biological factors of blood flow in the brain vessels with aneurysm. This paper offers a review of these hemodynamic parameters, and it elucidates the correlation of these parameters with cerebral aneurysm. Specifically, this review highlights the hemodynamic parameters that are related to the formation, growth, and morphological features, namely, size and shape, of cerebral aneurysm Keywords—Cerebral aneurysm, Hemodynamics, Wall shear stress, rupture risk, ansys
Effect of Vertical Aspect Ratio on Mass, Stiffness and Vertical Geometric Irregular Structures
Authors: Bathula Lathasri , Deepa Galapati , Akkinapally Bhagyalaxmi
Published: October 2024

Occurrence of earthquake will highly damage the structures which are not modelled and designed to resist such loads it may cause sometimes the collapse of structures leads to loss of human lives. The size of the building and slenderness ratio are the important factors for the efficient structural design. The aspect ratio of buildings is considerably effects under seismic loads. It is important to know the influence of aspect ratio on the irregular structures in high seismic zone areas. The research has been performed on the 15 storey building frames of five cases with mass, stiffness and vertical geometric irregularities. Each case comprises of four models having various vertical aspect ratios. The purpose of this study is to investigate the influence of vertical aspect ratio on mass, stiffness and vertical geometric irregular structures and how the structure will vary under seismic loads. The irregularities are incorporated in to the buildings by increasing the loads and column height in particular storeys and by eliminating the columns and beam sections compared to adjacent storeys. Linear dynamic analysis is performed. It is observed that with the decrease of vertical aspect ratio the structural response will increases the response of storey displacement, base shear, storey drift and over turning moment in the cases of mass and stiffness irregular structures. In the case of vertical geometric irregular structures with the decrease of vertical aspect ratio the storey displacement and storey drift values decrease for all the models, the base shear, overturning moment and stiffness increases with the decrease of vertical aspect ratio. Key words: Mass irregularity, Stiffness irregularity, Vertical geometric irregularity, Vertical aspect ratio, Linear dynamic analysis.
A Study on Cybersecurity Challenges and Strategies in a Digitally Transformed Business Environment
Authors:   Sathyabama Institute of Science and Technology , Chennai, Tamil Nadu,  India-6000119, K Vijay Prabhu , Lakshmi Dr.C ,   Sathyabama Institute of Science and Technology , Chennai, Tamil Nadu,  India-6000119
Published: October 2024

In this era of digital transformation businesses are facing a rapidly changing cybersecurity landscape with new technologies, expanded attack surfaces and advanced threats. This article looks at the many cybersecurity challenges that arise from integrating advanced technologies like cloud, IoT and AI into business. The challenges are expanded attack surfaces, system complexity, data privacy and regulatory compliance and advanced threats. The article looks at the solutions to these challenges including Zero Trust architecture, layered security, advanced threat detection, incident response and security awareness training. plus real world case studies of how these solutions are being used and what’s coming next with emerging technologies and regulations. By addressing these challenges with a comprehensive approach businesses can strengthen their cybersecurity, protect their data and be resilient in a digital world. KEYWORDS Cybersecurity Challenges ,Digital Transformation, Cyber Threats ,IT Infrastructure ,Zero Trust Security ,Threat Detection ,Incident Response, Data Protection ,Regulatory Compliance Employee Training, Advanced Security Technologies, Cloud Security, Network Security
Review Paper on “Jarvie: AI-Driven Mental Health Companion”
Authors: Fegade Mrs. Mayuri , Bandpatte Pratik , Medar Neha , Mahajan Devesh , Wagh Vishal
Published: October 2024

With the growing prevalence of mental health issues, many individuals still face barriers to accessing timely and effective support. This paper presents an innovative AI-powered Mental Health Companion aimed at providing personalized, real-time mental health assistance. By utilizing advanced natural language processing (NLP) techniques and machine learning models, the system interacts with users through meaningful conversations, offering customized coping strategies, mood tracking, and resource recommendations. The solution incorporates techniques such as sentiment analysis and adaptive learning to continuously refine responses based on user behavior and emotional states. The companion's effectiveness will be measured through metrics including user engagement, response accuracy, and its impact on emotional well-being. This scalable, on- demand tool offers the potential to significantly expand access to mental health support, reducing the strain on traditional services. Keywords - Artificial Intelligence, Mental Health, Natural Language Processing (NLP), Machine Learning, Chatbot, Mental Health Companion, Sentiment Analysis, Conversational AI, Generative AI.
THE ROLE OF EMOTIONS IN CONSUMER DECISION-MAKING: ANALYZE HOW EMOTIONAL APPEAL IN MARKETING AFFECTS CONSUMER BEHAVIOR
Authors:   SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI – 600 119, THAMILSELVAN Dr. R , RAKESHYANAND N ,   SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI – 600 119
Published: October 2024

Emotions play a pivotal role in consumer decision-making, influencing how individuals perceive, evaluate, and choose products or services. Emotional appeal in marketing taps into consumers' feelings, often bypassing rational thought to create strong associations with a brand or product. This paper analyzes how emotional appeal shapes consumer behavior by building brand loyalty, enhancing engagement, and driving impulse purchases. Positive emotions such as happiness, excitement, and belonging can foster long-term consumer relationships, while negative emotions like fear or anxiety can prompt immediate action. Through emotional resonance, brands not only differentiate themselves in a crowded marketplace but also create memorable experiences that impact purchasing decisions. The findings suggest that successful emotional marketing strategies are those that align with consumers’ values, desires, and emotional states, highlighting the importance of understanding both rational and emotional drivers in shaping consumer behavior. KEYWORDS Emotional Appeal, Consumer Behavior, Brand Loyalty, Impulse Buying, Positive Emotions, Negative Emotions, Engagement, Emotional Marketing, Brand Differentiation, Cultural Sensitivity, Neuromarketing, AI and Emotion Recognition, Personalization, Social Media, Sustainability, Behavioral Economics.
Community policing practice in the Nigerian police: Implications of employee burnout
Authors: Okoka Happiness , Kheswa Jabulani Gilford
Published: October 2024

The Nigerian police force's implementation of community policing has coincided with increased criminal activities, exacerbated by factors like high youth unemployment, inadequate healthcare, malnutrition, poverty, banditry, and intercommunal conflicts. Against this backdrop, this aimed at assessing how burnout affects the implementation of community policing within the Nigerian police force. It specifically aimed to explore how three dimensions of burnout—emotional exhaustion, personal accomplishment, and depersonalization—influence officers' adherence to and practice of community policing principles. By examining these factors, the study sought to provide a comprehensive understanding of how the psychological well-being of police officers impacts their ability to effectively engage in community-oriented policing strategies. Participants were 369 police personnel, which consisted of 266 males and 94 females, with a mean age of 36.6 years. The study adopted the cross-sectional research design. The Maslach Burnout Inventory (MBI), and the Community Policing Inventory were used as measures of burnout and community policing respectively. Three hypotheses were tested with the multiple linear regression. Results revealed that emotional exhaustion did not significantly predict the practice of community policing (β = -.087, t = -1.332, p = .184), accounting for 8.7% variability in the practice of community policing. Personal accomplishment did not significantly predict the practice of community policing (β = .113, t = 1.951, p = .052), accounting for 11.3% variability in the practice of community policing. Depersonalization significantly negatively predicts the practice of community policing (β = -.275, t = -4.425, p <.001), accounting for 27.5% variability in the practice of community policing. It was recommended that future studies investigate the mediating and moderating variables that can provide a deeper understanding of the intricate relationship between burnout and community policing in the Nigerian setting.
Exploring the role of online discussion forums in endorsing Egyptian undergraduates’ EFL learning
Authors: Morsi Wesam Khairy , Elseoud Mohamed Samir Abou
Published: October 2024

eLearning Management systems (eLMS) are software applications used in universities worldwide to implement specific educational goals. eLearning platforms have several features that support traditional Face to Face (FTF) teaching and provide valuable opportunities for independent, self-paced learning. One of these features is the Online Discussion Forums (ODFs). This research paper investigates the role of ODFs in endorsing English as a Foreign Language (EFL) learning by examining students' perceptions of its accessibility, peer/instructor interaction, assessment criteria, and discussion topics. The paper also investigates the influence of gender on students' perceptions of the role of ODFs. This is a non-experimental research design, and 108 Egyptian undergraduates completed a semi-structured questionnaire of five dimensions. Percentages of frequency were calculated and quantitatively analysed via the SPSS. Research findings revealed male and female students’ positive perceptions of using ODFs in their learning process. Results also revealed that students highly perceived choice of topics and assessment as crucial factors for successful learning via ODFs, followed by peer/instructor interaction and accessibility of the tool. Implications for further research include employing ODFs to improve project-based teaching in different disciplines.