Findings Of Study Research Articles

Understanding Patient Perspectives on the Use of Gamification and Incentives in mHealth Apps to Improve Medication Adherence: Qualitative Study.

Medication nonadherence remains a significant health and economic burden in many high-income countries. Emerging smartphone interventions have started to use features such as gamification and financial incentives with varying degrees of effectiveness on medication adherence and health outcomes. A more consistent approach to applying these features, informed by patient perspectives, may result in more predictable and beneficial results from this type of intervention. This qualitative study aims to identify patient perspectives on the use of gamification and financial incentives in mobile health (mHealth) apps for medication adherence in Australian patients taking medication for chronic conditions. A total of 19 participants were included in iterative semistructured web-based focus groups conducted between May and December 2022. The facilitator used exploratory prompts relating to mHealth apps, gamification, and financial incentives, along with concepts raised from previous focus groups. Transcriptions were independently coded to develop a set of themes. Three themes were identified: purpose-driven design, trust-based standards, and personal choice. All participants acknowledged gamification and financial incentives as potentially effective features in mHealth apps for medication adherence. However, they also indicated that the effectiveness heavily depended on implementation and execution. Major concerns relating to gamification and financial incentives were perceived trivialization and potential for medication abuse, respectively. The study's findings provide a foundation for developers seeking to apply these novel features in an app intervention for a general cohort of patients. However, the study highlights the need for standards for mHealth apps for medication adherence, with particular attention to the use of gamification and financial incentives. Future research with patients and stakeholders across the mHealth app ecosystem should be explored to formalize and validate a set of standards or framework.

Exploring the significant problems confronting secondary schools history education: a baseline study

The purpose of this baseline study is to determine the significant problems confronting history education in secondary school. The researchers employed qualitative research methods and case study design. The techniques that were employed to acquire credible data were document analysis, interviews, and classroom observation. Six experienced history education teachers and eight top-ten students from Sebeta town public secondary school were interviewed, and academic achievement statistics of 174 students in history education were analyzed. In addition eight lesson observations were carried out to validate the information gleaned from the interviews and document analysis. The study's findings show that the primary challenges influencing history education in Sebeta town public secondary schools were teaching strategy, a lack of awareness about implementing participatory teaching methods, a lack of comprehensiveness of the contents of history education teaching materials, and the issue of the bulkiness and scope of history education texts being covered on time. The findings also indicate the significance of training history education teachers to use participatory teaching tactics, as well as the need for curriculum experts to better coordinate the range of history education content and teaching strategies. The findings of this study will help teachers, practitioners, scholars, policymakers, and educational professionals find solutions to significant problems in secondary school history education, as well as develop effective techniques for teaching history education in secondary schools that involve twenty-first century skills and abilities.

The prevention of adverse pregnancy outcomes by periodontal treatment during pregnancy (PROBE) intervention study-A controlled intervention study: Protocol paper.

Pregnancy increases the risk of periodontitis due to the increase in progesterone and estrogen. Moreover, periodontitis during pregnancy is associated with development of pregnancy and birth related complications. The aim of this study is to determine, whether periodontal treatment during pregnancy can reduce systemic inflammation and lower the risk of adverse pregnancy and birth related outcomes. The PROBE study is a non-randomized controlled intervention study conducted among 600 pregnant women with periodontitis. The women will be recruited among all pregnant women at two Danish hospitals in Region Zealand during their nuchal translucency scan and will subsequently be screened for periodontitis. The intervention group includes 300 pregnant women, who will be offered state-of-the-art periodontal treatment during pregnancy. The control group includes additional 300 pregnant women, who will be offered periodontal treatment after giving birth. Outcome measures include periodontal measures, inflammatory, hormonal and glycaemic markers as well as the prevalence of preterm birth risk, low birth weight and risk markers of gestational diabetes mellitus (GDM) and preeclampsia that will be collected from all screened women and further during pregnancy week 20 and pregnancy week 35 for women enrolled in the intervention. The study's findings will be published in peer reviewed journals and disseminated at national and international conferences and through social media. The PROBE study is designed to provide important new knowledge as to whether periodontal treatment during pregnancy can reduce the prevalence of complications related to pregnancy and birth. The study was registered on clinicaltrials.gov (NCT06110143).

Crowding Perceptions of Hotels in Zanzibar

Underpinned by Stimulus Organism Response (SOR) theory, this study investigates the role of mindfulness in the relationship between hotels’ crowding perceptions and cognitive and affective dimensions of residents’ social identity. Drawing on a sample of 315 surveys distributed to the residents in Zanzibar, a partial least square structural modelling (PLS-SEM) was used to analyse the data set. The findings of the study supported all hypotheses. First, crowding perceptions positively affect mindfulness. Second, mindfulness is positively associated with cognitive and affective identities. Thus, the present study's findings provide discussion and lay the foundations for theoretical and practical implications. Finally, the areas for further research are suggested.

Synthesis, molecular docking study and biological evaluation of new pyrrole scaffolds as potential antitubercular agents for dual targeting of enoyl ACP reductase and dihydrofolate reductase.

In this study, new series of N'-(2-(substitutedphenoxy)acetyl)-4-(1H-pyrrol-1-yl)benzohydrazides (3a-j) 4-(2,5-dimethyl-1H-pyrrol-1-yl)-N'-(2-(substitutedphenoxy)acetyl)benzohydrazides (5a-j) were synthesized, characterized and assessed as inhibitors of enoyl ACP reductase and DHFR. Most of the compounds exhibited dual inhibition against the enzymes enoyl ACP reductase and DHFR. Several synthesized substances also demonstrated significant antibacterial and antitubercular properties. A molecular docking analysis was conducted in order to determine the potential mechanism of action of the synthesized compounds. The results indicated that there were binding interactions seen with the active sites of dihydrofolate reductase and enoyl ACP reductase. Additionally, important structural details were identified that play a critical role in sustaining the dual inhibitory activity. These findings were useful for the development of future dual inhibitors. Therefore, this study provided strong evidence that several synthesized molecules could exert their antitubercular properties at the cellular level through multi-target inhibition. By shedding light on the mechanisms through which these compounds exert their inhibitory effects, this research opens up promising avenues for the future development of dual inhibitors with enhanced antibacterial and antitubercular properties. The study's findings underscore the importance of multi-target approaches in drug design, providing a strong foundation for the design and optimization of novel compounds that can effectively target bacterial infections at the cellular level.

The Impact of Drop Test Conditions on Brain Strain Location and Severity: A Novel Approach Using a Deep Learning Model.

In contact sports such as rugby, players are at risk of sustaining traumatic brain injuries (TBI) due to high-intensity head impacts that generate high linear and rotational accelerations of the head. Previous studies have established a clear link between high-intensity head impacts and brain strains that result in concussions. This study presents a novel approach to investigating the effect of a range of laboratory controlled drop test parameters on regional peak and mean maximum principal strain (MPS) predictions within the brain using a trained convolutional neural network (CNN). The CNN is publicly available at https://github.com/Jilab-biomechanics/CNN-brain-strains . The results of this study corroborate previous findings that impacts to the side of the head result in significantly higher regional MPS than forehead impacts. Forehead impacts tend to result in the lowest region-averaged MPS values for impacts where the surface angle was at 0° and 45°, while side impacts tend to result in higher regional peak and mean MPS. The absence of a neck in drop tests resulted in lower regional peak and mean MPS values. The results indicated that the relationship between drop test parameters and resulting regional peak and mean MPS predictions is complex. The study's findings offer valuable insights into how deep learning models can be used to provide more detailed insights into how drop test conditions impact regional MPS. The novel approach used in this paper to predict brain strains can be applied in the development of better methods to reduce the brain strain resulting from head accelerations such as protective sports headgear.

Investigating the Factor Structure and Validation of the Multidimensional Scale of Acceptance of Collective Violence Among Teenagers: An Exploratory and Confirmatory Factor Analysis

Background: Collective violence is a significant social issue that impacts individuals' and groups' mental and physical health, social relationships, and educational levels. However, there is currently no valid and reliable scale to measure the acceptance of collective violence among adolescents. Objectives: This study aimed to validate the Multidimensional Scale of Acceptance of Collective Violence (MSACV). Methods: A cross-sectional study design was used to validate the MSACV among teenagers in Tehran in 2022. The sample included 840 teenagers selected through random cluster sampling. Data were collected electronically using MSACV and the Aggression Scale (AS), with the questionnaire link sent to participants' mobile phones. Content validity, concurrent validity, and factor analysis methods were used to assess scale validity. Scale reliability was evaluated through internal consistency, test-retest reliability, and split-half reliability. Results: The content validity ratio (CVR) values ranged from 68% to 91%, and the Content Validity Index (CVI) values ranged from 70% to 94% for the relevant, clarity, and simplicity indices. Exploratory factor analysis (EFA) revealed that the MSACV questionnaire had 7 factors, explaining a total variance of 58.97%. Confirmatory factor analysis (CFA) also supported the 7-factor structure of the MSACV questionnaire. The concurrent validity of MSACV with AS was positive and significant (P < 0.001). Cronbach's alpha coefficient for the overall scale was 0.91, and subscales ranged from 0.70 to 0.94. Test-retest reliability was 0.86, and split-half reliability was 0.74. Conclusions: This study's findings demonstrate that the MSACV is a valid and reliable scale for measuring the acceptance of collective violence among adolescents. This scale can assist researchers and interventionists in the prevention and treatment of collective violence.

Investigation of the Relationship Between Internet Addiction, Food Addiction and Impulsivity in Adolescents Presenting at the Child Psychiatry Outpatient Clinic

Objective: The purpose of this study was to investigate the relationship between Internet addiction, food addiction, and impulsivity in children and adolescents aged 12-18 years who presented at the child psychiatry outpatient clinic of a university hospital. Methods: This study included 207 patients aged 12-18 years who presented at the child and adolescent psychiatry clinic. All the study participants completed the Internet Addiction Test (IAT), the Barratt Impulsivity Scale (BIS-11), and the Yale Food Addiction Scale for Children 2.0 (YFAS-C 2.0). Results: The individuals who scored above the IAT total score cut-off point had substantially higher scores on the YFAS-C 2.0, BIS-11 total scores, and BIS-11 cognitive impulsivity and non-planning subscale than the participants who scored below the IAT total score cut-off point. According to the results of logistic regression analysis, the YFAS-C 2.0 and BIS-11 total scores were found to be related to Internet addiction. Conclusion: The study's findings indicate that impulsivity and food addiction might be significant risk factors for Internet addiction.

Adoption Factors of Blockchain in Indian Agriculture Supply Chain Management Analysis using EFA

<p class="MsoNormal" style="margin-top: 10pt; line-height: 12pt; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The global agricultural supply chain grapples with inherent challenges, including opacity, inefficiency, and ethical concerns, necessitating innovative solutions, particularly within Indian Agriculture Supply Chain Management. Despite these challenges, a notable research gap emerges due to the limited exploration of adoption factors specific to the Indian agricultural context. To bridge this gap, a comprehensive investigation is initiated to delve into the nuanced dynamics of blockchain technology adoption in the Indian agricultural supply chain. The primary aim of this study is to provide insights into these adoption dynamics, employing a three-stage methodology. Starting with an extensive literature review to identify key adoption factors, the study then distributed a well-crafted questionnaire to 200 respondents, yielding 150 complete and analyzable responses. The chosen methodologies, including a one-sample t-test and exploratory factor analysis, allow for a quantitative assessment of the significance of various factors. The study's findings reveal crucial dimensions influencing blockchain adoption, such as perceived benefits, ease of use, trust, efficiency, ethical considerations, data security, integrity, regulatory compliance, and collaboration and stakeholder engagement, providing a comprehensive understanding of the adoption landscape. In conclusion, this research significantly contributes to comprehending the nuanced adoption dynamics of blockchain technology in the Indian agricultural supply chain, supported by a substantial sample size and robust methodological choices. The implications extend to stakeholders navigating the evolving agricultural supply chain, offering valuable insights for future research, policy considerations, and practical strategies, with a central focus on fostering transparency, efficiency, and ethical standards to address global agricultural supply chain challenges.</span></p>

Competency analysis of health workers: Interprofessional collaboration practices in a tertiary referral hospital in Surabaya

Background: There is a rising need for high-quality, efficient healthcare. Implementing interprofessional cooperation (IPC) between healthcare professionals is one of the initiatives that has raised the standard of treatment in hospitals. The disparity in competence amongst health professionals is one of several elements that affect the requirements for the successful implementation of cooperation. Objective: To examine the attitudes, abilities, teamwork, and positive roles implemented by health workers in interprofessional collaboration practices. Method: Cross-sectional research methodology was used in this observational study. The Chiba Interprofessional Competency Scale (CICS29) instrument, which has 29 verified items, was used to evaluate the proficiency of health workers. The value of five (always) until one (never) was used to distinguish between the various categories. Result: A very good Cronbach alpha score of 0.921 was used to verify the questionnaire. Exactly 109 health professionals, including 21 physicians, 34 pharmacists, 50 nurses, and four nutritionists, participated in the study as respondents. Conclusion: Based on the study's findings, it was determined that health professionals, including physicians, pharmacists, nurses, and nutritionists, possess a high level of competence or capacity regarding interprofessional collaboration in hospitals.

Assessment of Dar es Salaam's resilience to climate change disasters using the Climate Disaster Resilience Index (CDRI)

Climate change is becoming an increasingly significant issue in Africa, and the need for climate resilience assessment has intensified. Dar es Salam is one of Africa's emerging megacities. With a population of over seven million, which continues to grow, there is an urgent need to understand the city's ability to deal with natural disasters. The Climate Disaster Resilience Index (CDRI) was used in this study to assess the city's ability to withstand and cope with climatic hazards. The Index was quantified using sets of dimensions (social, physical, economic, natural, and institutional), with various parameters indicating the city's abilities, strengths, and vulnerabilities to potential climate‐related disasters. Despite being moderately resilient to climate change disasters, the results of our study indicate that the city's economic and institutional features obtained the lowest scores and the least resilience level. The study's findings provide a perspective on aspects of the city management sectors in terms of resilience and which should be given greater consideration in order to strengthen the city's current and future resilience.

Observed and future shifts in climate zone of Borneo based on CMIP6 models

Climate change has significantly altered the characteristics of climate zones, posing considerable challenges to ecosystems and biodiversity, particularly in Borneo, known for its high species density per unit area. This study aimed to classify the region into homogeneous climate groups based on long-term average behavior. The most effective parameters from the high-resolution daily gridded Princeton climate datasets spanning 65 years (1950–2014) were utilized, including rainfall, relative humidity (RH), temperatures (Tavg, Tmin, Tmax, and diurnal temperature range (DTR)), along with elevation data at 0.25° resolution. The FCM clustering method outperformed K-Mean and two Ward's hierarchical methods (WardD and WardD2) in classifying Borneo's climate zones based on multi-criteria assessment, exhibiting the lowest average distance (2.172–2.180) and the highest compromise programming index (CPI)-based correlation ranking among cluster averages across all climate parameters. Borneo's climate zones were categorized into four: ‘Wet and cold’ (WC) and ‘Wet’ (W) representing wetter zones, and ‘Wet and hot’ (WH) and ‘Dry and hot’ (DH) representing hotter zones, each with clearly defined boundaries. For future projection, EC-Earth3-Veg ranked first for all climate parameters across 961 grid points, emerging as the top-performing model. The linear scaling (LS) bias-corrected EC-Earth3-Veg model, as shown in the Taylor diagram, closely replicated the observed datasets, facilitating future climate zone reclassification. Improved performance across parameters was evident based on MAE (35.8–94.6%), MSE (57.0–99.5%), NRMSE (42.7–92.1%), PBIAS (100–108%), MD (23.0–85.3%), KGE (21.1–78.1%), and VE (5.1–9.1%), with closer replication of empirical probability distribution function (PDF) curves during the validation period. In the future, Borneo's climate zones will shift notably, with WC elongating southward along the mountainous spine, W forming an enclave over the north-central mountains, WH shifting northward and shrinking inland, and DH expanding northward along the western coast. Under SSP5-8.5, WC is expected to expand by 39% and 11% for the mid- and far-future periods, respectively, while W is set to shrink by 46%. WH is projected to expand by 2% and 8% for the mid- and far-future periods, respectively. Conversely, DH is expected to expand by 43% for the far-future period but shrink by 42% for the mid-future period. This study fills a gap by redefining Borneo's climate zones based on an increased number of effective parameters and projecting future shifts, utilizing advanced clustering methods (FCM) under CMIP6 scenarios. Importantly, it contributes by ranking GCMs using RIMs and CPI across multiple climate parameters, addressing a previous gap in GCM assessment. The study's findings can facilitate cross-border collaboration by providing a shared understanding of climate dynamics and informing joint environmental management and disaster response efforts.

EFFECTIVENESS OF CBT BASED RELAPSE PREVENTION THERAPY IN REDUCING RELAPSE RISK AND CRAVING AMONG INDIVIDUALS WITH SUBSTANCE USE DISORDER

Present study explored the effectiveness of Cognitive Behavioral Therapy with Relapse Prevention Techniques (CBT-BRPT) in reducing relapse risk and craving among individuals with substance use disorder (SUD). Drawing from a comprehensive literature review, the study addressed the pressing need for evidence-based interventions to combat SUD and its associated challenges. Present study employed a Pre-Experimental Research Design with a one-group pretest-posttest approach, utilized the purposive sampling to recruit a sample of 50 male participants seeking treatment for SUD. The instruments utilized include the Stimulant Relapse Risk Scale (SRRS), the Brief Substance Craving Scale (BSCS), and a Demographic Information Form. Results demonstrated significant reductions in both craving and relapse risk among participants who received CBT-BRPT intervention. These findings underscore the importance of CBT-BRPT as a viable treatment option for individuals with SUD, offering promising implications for clinical practice and substance abuse treatment programs. Despite limitations such as sample size and absence of a control group, the study's findings advocate for the integration of CBT approaches into existing treatment modalities and call for further research to validate the efficacy of CBT interventions in addressing substance use disorders comprehensively.

Bio-based composite active film/coating from deccan hemp seed protein, taro starch and leaf extract: Characterizations and application in grapes

This study aimed to create a novel, cost-effective, and environmentally friendly food packaging film or coating using agricultural waste materials such as deccan hemp seeds and leaves. The process involved blending deccan hemp seed protein and leaf extract at an optimal ratio through a casting technique. Additionally, starch isolated from taro root was added into the protein-based film to enhance its structural, barrier, and mechanical properties. The introduction of bioactive compounds, like deccan hemp leaf extract, led increase in antioxidant activity and enriching the film with beneficial phenolic compounds.The combination of leaf extract and starch with the protein film resulted in a homogeneous, dense, and smooth film matrix, as evidenced by scanning microscopy images. FTIR spectroscopy confirmed interlinkage among the various constituents in the film. Rheological analysis of the film-forming solution showed its shear-thinning behavior, with the storage modulus exceeding the loss modulus in the angular frequency range of 0.1 rad/s to 100 rad/s, indicating the film's elastic nature. Furthermore, the physical and optical attributes of the films were enhanced through the addition of starch and leaf extract.In a practical application, the film-forming solution was applied to grapes, leading to improved quality and extended shelf life for grapes stored under ambient conditions for ten days. Overall, this study's findings suggest that the use of deccan hemp seed protein-based packaging film holds promise as an emerging solution for enhancing the shelf life of vegetables and fruits, offering a sustainable and effective alternative for food packaging.

Is it possible to identify COVID-19 infection-related biomarkers during pregnancy?: A prospective study in Turkish population.

The coronavirus disease 2019 (COVID-19) has raised concerns about the potential complications it may cause in pregnant women. Therefore, biomarkers that can predict the course of COVID-19 in pregnant women may be of great benefit as they would provide valuable insights into the prognosis and, thus, the management of the disease. In this context, the objective of this study is to identify the biomarkers that can predict COVID-19 progression in pregnant women, focusing on composite hemogram parameters and systemic inflammatory and spike markers. The population of this single-center prospective case-control study consisted of all consecutive pregnant women with single healthy fetuses who tested positive for COVID-19 and who were admitted to Bakirköy Dr Sadi Konuk Training and Research Hospital in Istanbul, Turkey, a COVID-19 referral hospital, between April 2020 and March 2021, with an obstetric indication, during their second or third trimester. The control group consisted of consecutive pregnant women with a single healthy fetus who were admitted to the same hospital within the same date range, had demographic and obstetric characteristics matching the patient group, but tested negative for COVID-19. The patient and control groups were compared in terms of platelet-to-lymphocyte ratio (PLR), platelet-to-neutrophil ratio (PNR), and neutrophil-to-lymphocyte ratio (NLR), and systemic inflammatory and spike markers, including C-reactive protein (CRP), interleukin-6 (IL-6), interleukin-10 (IL-10), cluster of differentiation 26 (CD26), and B7 homolog 4 (B7H4). There were 45 (51.1%) and 43 (48.8%) pregnant women in the patient and control groups, respectively. There was no significant difference between the groups in demographic and obstetric characteristics (P > .05). The PNR, PLR, and CRP values were significantly higher in the patient group than in the control group (P < .05). On the other hand, there was no significant difference between the groups in IL-6, IL-10, CD26, and B7H4 levels (P > .05). The findings of our study showed that specific inflammatory markers, such as CRP, PLR, and PNR, can potentially predict the course of COVID-19 in pregnant women. However, more comprehensive, well-controlled studies are needed to corroborate our study's findings and investigate other potential inflammatory markers.

Towards XAI agnostic explainability to assess differential diagnosis for Meningitis diseases

Abstract Meningitis, characterized by meninges and cerebrospinal fluid (CSF) inflammation, poses diagnostic challenges due to diverse clinical manifestations. This work introduces an explainable AI automatic medical decision methodology that determines critical features and their relevant values for the differential diagnosis of various meningitis cases. We proceed with knowledge acquisition to define the rules for this research. Currently, we have established the etiological diagnosis of Meningococcaemia, Meningococcal Meningitis, Tuberculous Meningitis, Aseptic Meningitis, Haemophilus influenzae Meningitis, and Pneumococcal&amp;#xD;Meningitis. The data preprocessing was conducted after collecting data from samples with meningitis diseases at Setif Hospital in Algeria. Tree-based ensemble methods were then applied to assess the model’s performance. Finally, we implement an XAI agnostic explainability approach based on the SHapley Additive exPlanations technique to attribute each feature’s contribution to the model’s output. Experiments were conducted on the collected dataset and the SINAN database, obtained from the Brazilian Government’s Health Information System on Notifiable Diseases, which comprises 6729 patients aged over 18 years. The Extreme Gradient Boosting model was chosen for its superior performance metrics (Accuracy: 0.90, AUROC: 0.94, and F1-score: 0.98). Setif’s hospital data revealed notable performance metrics (Accuracy: 0.7143, F1-Score: 0.7857). This study's findings showcase each feature's contribution to the model’s predictions and diagnosis. It also reveals critical biomarker ranges associated with distinct types of Meningitis. Significant diagnostic effect was found for Meningococcal Meningitis with elevated neutrophil levels (&gt;40%) and balanced lymphocyte levels (40-60%). Tuberculous Meningitis demonstrated low neutrophil levels (&lt;60%) and elevated lymphocyte levels (&gt;60%). Haemophilus influenzae meningitis exhibited a predominance of neutrophils (&gt;80%), while Aseptic meningitis showed lower neutrophil levels (&lt;40%) and lymphocyte levels within the range of 50-60%. The majority of the AI automatic medical decision results are twinned with validation by our team of infectious disease experts, confirming the alignment of algorithmic diagnoses with clinical practices.

Hubungan Parasosial Army di Weverse (Studi Pada Komunitas Army Balikpapan)

Parasocial relationships is the participation of fans who connect with an idol and become emotionally attached to them because the process satisfy each fan individually. The parasocial relationship that occurs between fans of the K-pop group BTS and their fans, namely ARMY, is established on the digital media Weverse. The aim of this research is to understand the description of parasocial relationships by looking at the levels of fan parasocial interaction: Entertainment Social Value, Intense Personal Feeling, Bonderline Pantalogical Tendency. This research employs the phenomenological method, a qualitative approach that allows for detailed observation and hearing of people's individual explanations and understandings based on their experiences. The sampling technique in this research used purposive sampling technique. Sampling took the form of observation, documentation and in-depth interviews as primary data analyzed using the Miles and Huberman model. According to the study's findings, fans' emotional attached to BTS were shown by ARMY's parasocial interactions, which included motivation aspect at the Entertainment Social Value level, intensity aspect at the Intense Personal Feeling level, and obsession aspect, willing to do anything behaviour, irrational and uncontrollble thinking at the Bonderline Pantalogical Tendency level.

Social Media Marketing Strategies and Their Impact on Brand Equity and Buying Interest in Cake &amp; Bakery

Increasing competition in the food industry, especially in the cake and bread sector, encourages companies to increase their marketing competitiveness through social media, requiring marketers who can build strong brands. Even though the number of followers of a company on social media has become a general indicator, it cannot provide a definite picture of how much buying interest these followers have in the products being sold. This research explores the influence of social media marketing activities on brand equity and purchasing Interest in the food industry, especially in cake and bread products. This study takes a quantitative approach by analyzing data collected from the followers of Kumo Cake's Instagram account. By using a straightforward random sample technique, 122 participants from the Jabodetabek region were chosen for the survey. A Structural Equation Model (SEM) is used for the analytical purpose. The study's findings demonstrate that SMM campaigns boost brand equity, which in turn increases purchase interest, and that brand equity influences buy interest in a positive and statistically significant way. These results have important implications for food sector firms looking to improve their social media marketing strategy in order to raise consumer interest in their brands and products.

Investigating white matter changes in auditory cortex and association fibres related to speech processing in noise-induced hearing loss: a diffusion tensor imaging study

BackgroundThis study explores the impact of noise-induced hearing loss (NIHL) on the microstructural integrity of white matter tracts in the brain, focusing on areas involved in speech processing. While the primary impact of hearing loss occurs in the inner ear, these changes can extend to the central auditory pathways and have broader effects on brain function. Our research aimed to uncover the neural mechanisms underlying hearing loss-related deficits in speech perception and cognition among NIHL patients.MethodsThe study included two groups: nine bilateral NIHL patients and nine individuals with normal hearing. Advanced diffusion tensor imaging techniques were employed to assess changes in the white matter tracts. Regions of interest (ROIs), including the auditory cortex, cingulum, arcuate fasciculus, and longitudinal fasciculus, were examined. Fractional anisotropy (FA) values from these ROIs were extracted for analysis.ResultsOur findings indicated significant reductions in FA values in NIHL patients, particularly in the left cingulum, right cingulum, and left inferior longitudinal fasciculus. Notably, no significant changes were observed in the auditory cortex, arcuate fasciculus, superior longitudinal fasciculus, middle longitudinal fasciculus, and right inferior longitudinal fasciculus, suggesting differential impacts of NIHL on various white matter tracts.ConclusionsThe study's findings highlight the importance of considering association fibres related to speech processing in treating NIHL, as the broader neural network beyond primary auditory structures is significantly impacted. This research contributes to understanding the neurological impact of NIHL and underscores the need for comprehensive approaches in addressing this condition.

Comparative analysis of simultaneous integrated boost and sequential boost radiotherapy in node-positive cervical cancer: dosimetric and radiobiological considerations.

For locally advanced cervical cancer, the standard therapeutic approach involves concomitant chemoradiation therapy, supplemented by a brachytherapy boost. Moreover, an external beam radiotherapy (RT) boost should be considered for treating gross lymph node (LN) volumes. Two boost approaches exist with Volumetric Intensity Modulated Arc Therapy (VMAT): Sequential (SEQ) and Simultaneous Integrated Boost (SIB). This study undertakes a comprehensive dosimetric and radiobiological comparison between these two boost strategies. The study encompassed ten patients who underwent RT for cervical cancer with node-positive disease. Two sets of treatment plans were generated for each patient: SIB-VMAT and SEQ-VMAT. Dosimetric as well as radiobiological parameters including tumour control probability (TCP) and normal tissue complication probability (NTCP) were compared. Both techniques were analyzed for two different levels of LN involvement - only pelvic LNs and pelvic with para-aortic LNs. Statistical analysis was performed using SPSS software version 25.0. SIB-VMAT exhibited superior target coverage, yielding improved doses to the planning target volume (PTV) and gross tumour volume (GTV). Notably, SIB-VMAT plans displayed markedly superior dose conformity. While SEQ-VMAT displayed favorable organ sparing for femoral heads, SIB-VMAT appeared as the more efficient approach for mitigating bladder and bowel doses. TCP was significantly higher with SIB-VMAT, suggesting a higher likelihood of successful tumour control. Conversely, no statistically significant difference in NTCP was observed between the two techniques. This study's findings underscore the advantages of SIB-VMAT over SEQ-VMAT in terms of improved target coverage, dose conformity, and tumour control probability. In particular, SIB-VMAT demonstrated potential benefits for cases involving para-aortic nodes. It is concluded that SIB-VMAT should be the preferred approach in all cases of locally advanced cervical cancer.