Boyd-Wong type functional contractions under locally transitive binary relation with applications to boundary value problems

The area of metric fixed point theory applied to relational metric spaces has received significant attention since the appearance of the relation-theoretic contraction principle. In recent times, a number of fixed point theorems addressing the various contractivity conditions in the relational metric space has been investigated. Such results are extremely advantageous in solving a variety of boundary value problems, matrix equations, and integral equations. This article offerred some fixed point results for a functional contractive mapping depending on a control function due to Boyd and Wong in a metric space endued with a local class of transitive relations. Our findings improved, developed, enhanced, combined and strengthened several fixed point theorems found in the literature. Several illustrative examples were delivered to argue for the reliability of our findings. To verify the relevance of our findings, we conveyed an existence and uniqueness theorem regarding the solution of a first-order boundary value problem

Study of modified prism networks via fractional metric dimension

For a connected network $\Gamma$, the distance between any two vertices is the length of the shortest path between them. A vertex $c$ in a connected network is said to resolve an edge $e$ if the distances of $c$ from its endpoints are unequal. The collection of all the vertices which resolve an edge is called the local resolving neighborhood set of this edge. A local resolving function is a real-valued function is defend as $\eta : V(\Gamma) \rightarrow [0, 1]$ such that $\eta (R_{x}(e)) \geq 1$ for each edge $e \in E(\Gamma)$, where $R_{x} (e)$ represents the local resolving neighborhood set of a connected network. Thus the local fractional metric dimension is defined as $dim_{LF}(\Gamma) = \quad min \quad \{ |\eta|: \quad \eta \quad is \quad the \quad minimal \quad local \quad resolving \quad function \quad of \quad \Gamma\},$ where $|\eta| = \sum \limits _ {a \in R_{x}(e)}\eta(a)$. In this manuscript, we have established sharp bounds of the local fractional metric dimension of different types of modified prism networks and it is also proved that local fractional metric dimension remains bounded when the order of these networks approaches to infinity

Comparing Anemia Prevalence In Vegetarian And Omnivorous Diets A Systematic Review And Meta-Analysis

Background: In recent years, the prevalence of vegetarian and vegan diets has increased due to their associated health benefits. However, long-term avoidance of animal foods can lead to inadequate intake of essential nutrients like iron and vitamin B-12, critical for maintaining blood health. Iron deficiency is a widespread nutritional problem, especially in vegetarian diets, due to the reduced bioavailability of non-heme iron in plant foods. This study aimed to provide a detailed comparison of anemia frequency and other hematological parameters between vegetarian and omnivorous diets, thereby offering insights into the nutritional adequacy and health outcomes of these dietary habits. Methods: The study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, utilizing a prospective cohort from the UK Biobank. Participants aged 40–69 years were investigated for anemia prevalence in vegetarian and omnivorous diets. Data collection included informed consent procedures, a touch-screen questionnaire addressing sociodemographic and lifestyle factors, and a computer-assisted personal interview. Blood samples were collected for complete blood cell counts and hematological assays. Statistical analysis involved linear regression models, adjusted for age, sex, menopausal status, and smoking status. Results: The study found that vegetarians and other low or non-meat eaters had slightly lower age-adjusted hemoglobin concentrations and were more likely to be anemic compared to regular meat eaters. However, a well-balanced vegetarian diet did not significantly differ in iron-deficiency anemia incidence compared to omnivores. The study also noted differences in white blood cell parameters and platelet characteristics between diet groups, suggesting potential differences in immune function. Conclusion: The research concluded that a well-planned vegetarian diet does not increase the risk of iron-deficiency anemia compared to omnivorous diets. The key is dietary quality and appropriate planning, ensuring sufficient iron intake to prevent deficiency and support overall health. The findings contribute to the discussion about the adequacy of vegetarian diets and their role in preventing chronic conditions

A study of nonlocal fractional delay differential equations with hemivariational inequality

In this paper, we study an abstract system of fractional delay differential equations of order 1 < q < 2 with a hemivariational inequality in Banach spaces. To establish the existence of a solution to the abstract inequality, we employ the Rothe technique in conjunction with the surjectivity of multivalued pseudomonotone operators and features of the Clarke generalized gradient. Further, to show the existence of the fractional differential equation, we use the fractional cosine family and fixed point theorem. Finally, we include an example to elaborate the effectiveness of the findings

Glaucoma among Saudi Arabian population: a scoping review

Despite its high risk of leading to permanent visual dysfunction, glaucoma remains underdiagnosed in primary care settings. About 11% of glaucoma patients in Saudi Arabia end up with bilateral blindness. This scoping review investigates and presents results on the glaucoma profile, including its prevalence, knowledge, attitude, and practice of Saudi Arabians towards the disease. An online search using four databases through online software (www.rayyan.ai) was performed to extract the relevant articles. Out of 76 records, 21 articles were eligible for the analysis. All included studies were published between the years 2014 and 2022. Most studies were in Riyadh city, followed by Jeddah. All participants (n=11 388) were adults >18 years old, and male participants were generally higher than females. The findings showed poor knowledge of glaucoma among the general population, while the knowledge among glaucoma patients was acceptable. The attitude was positive, while the compliance and practice were fair. More educational programs about glaucoma, its risk to the eyes, and the overall quality of life are highly recommended

Obsessive-Compulsive Disorder in Primary Care: Overview on Diagnosis and Management

Background: Obsessive-Compulsive Disorder (OCD) is a debilitating condition marked by the presence of intrusive obsessions and repetitive compulsions. The primary care setting often serves as the first line of contact for individuals grappling with mental health issues, making it a crucial frontier in the early detection and management of OCD. Therefore, the accurate diagnosis of OCD in such settings is essential for effective management. Objective: This review article aims to provide a comprehensive overview of the diagnostic process for OCD, emphasizing the clinical presentation, differential diagnosis, and various diagnostic tools available. Additionally, it explores current strategies for managing OCD, including pharmacological and psychotherapeutic interventions. Methodology: For this review, a comprehensive literature search was conducted using Google Scholar and PubMed databases. Keywords such as "Diagnosis," "obsessive compulsive disorder," and "management" were employed to narrow down relevant studies. Both qualitative and quantitative research papers were included, while non-English publications and those lacking peer-review were excluded. Results: Core symptoms of OCD include obsessions and compulsions, with the Y-BOCS being a standard measure for diagnosis. Differential diagnosis is essential to distinguish OCD from other conditions. SSRIs have been recognized as first-line pharmacological treatments. CBT, particularly Exposure and Response Prevention, remains a potent psychotherapeutic intervention. Emerging treatments like DBS and TMS offer hope for those unresponsive to conventional treatments. Combination therapies have shown enhanced efficacy in certain cases. Conclusion: The meticulous diagnosis of OCD requires recognizing its core symptoms, ruling out other conditions, and leveraging validated clinical tools. A multi-faceted management approach combining pharmacological and psychological treatments ensures optimal patient outcomes, with ongoing research introducing promising new interventions

Impact Of Bariatric Surgery on Gastroesophageal Reflux Disease: A Cross-Sectional Study

Objective: To assess the occurrence of GERD after bariatric surgery and surgery impact on GERD. Methods: This research employs a cross-sectional study design to investigate the impact of bariatric surgery on Gastroesophageal Reflux Disease (GERD) among individuals who have undergone various types of bariatric surgeries. Results: The study included 302 participants. The most frequent weight among them was more than 96 kg (n= 130, 43%) followed by 76-85 kg (n= 51, 16.9%). The most frequent height among study participants was 1.61-1.70 m (n= 100, 33.1%) followed by 1.51-1.60 m (n= 99, 32.8%). The most frequent body mass index (BMI) value among study participants was more than 35 kg/m2 (n= 126, 41.7%) followed by 25-29.9 kg/m2 (n= 67, 22.2%). The most frequent age among study participants was 26-36 years (n= 104, 34.4%) followed by 15-25 years (n= 83, 27.5%). The most frequent gender among study participants was Female (n= 162, 53.6%) followed by Male (n= 140, 46.4%). Participants were asked about the type of obesity surgery. The most frequent was Gastric sleeve (n=222, 73.5%), followed by Gastric bypass (n=33, 10.9%).   Conclusion: Study results showed that most of the study participants are extremely obese according to their BMI. The most common obesity surgery type was a Gastric sleeve followed by a Gastric bypass. The most of participants were a non-smoker. Most of them had weight loss. In addition, most of the study participants had good social connection

A Multimethod Approach to Identify Factors and Improve the Process of Deprescribing Anticholinergics in Older Adults

Polypharmacy in older adults presents several challenges, such as suboptimal therapeutic outcomes and increased adverse effects. Deprescribing, a clinically supervised process of decreasing dosage or stopping the medication when risks outweigh benefits, has emerged as one possible solution to these problems. However, the literature describing deprescribing intervention frameworks is heterogenous regarding targeted medications to deprescribe, population characteristics, clinical settings, and measured outcomes. This dissertation utilizes Linsky et al.\u27s deprescribing conceptual model, which details factors influencing decisions regarding initiating deprescribing interventions and their direct impact on the process. This dissertation utilizes a multimethod approach to investigate factors that facilitate and improve the deprescribing of anticholinergic medications for older adults, addressing gaps in this population\u27s anticholinergic medication use. The three studies included in this dissertation provide a comprehensive understanding of deprescribing anticholinergic medications for this population, each contributing unique insights and results. The first study explores the feasibility of in-person and remote Home Medication Inventory Method (HMIM) approaches to evaluate over-the-counter (OTC) and prescription medication possession and use, including anticholinergics. Results demonstrate that both methods can accurately assess anticholinergic medication usage patterns, providing healthcare providers with reproducible methods and detailed medication profiles to make informed deprescribing decisions based on complete medication lists. The second study examined the intertwined roles of social determinants of health and health beliefs in predicting older adults\u27 self-reported deprescribing behaviors, proposing the Deprescribing Health Belief Model (DeRx-HBM) framework that can be utilized for these efforts. These results emphasize the importance of considering these elements when creating a patient-centric and culturally sensitive intervention since they significantly shape deprescribing behaviors. In the third study, we explored the use of a symptom-specific scale for measuring the symptom burden in older adults during the deprescribing of anticholinergic medications prescribed for urinary incontinence, depression, and pain management. This research introduces a validated scale for assessing anticholinergic symptom burden prior to, throughout, and following the deprescribing attempt. The implementation of this scale has the potential to enhance the reproducibility and standardization of deprescribing decisions. Furthermore, it can improve communication between healthcare professionals and patients, as well as monitor the effectiveness of interventions during and after the deprescribing process. Collectively, these studies provide invaluable insights into factors influencing deprescribing decisions, obstacles to implementing deprescribing practices, and potential strategies to optimize medication management in older adults. The major takeaway from these studies is that addressing these factors leads to more informed decisions among healthcare professionals and patients - potentially leading to improved patient outcomes, ensure the ongoing effectiveness of deprescribing initiatives among older adults, and the promotion of health equity throughout the deprescribing process

Halpern-Type Inertial Iteration Methods with Self-Adaptive Step Size for Split Common Null Point Problem

In this paper, two Halpern-type inertial iteration methods with self-adaptive step size are proposed for estimating the solution of split common null point problems (SpCNPP) in such a way that the Halpern iteration and inertial extrapolation are computed simultaneously in the beginning of each iteration. We prove the strong convergence of sequences driven by the suggested methods without estimating the norm of bounded linear operator when certain appropriate assumptions are made. We demonstrate the efficiency of our iterative methods and compare them with some related and well-known results using relevant numerical examples