Amisulpride as the antipsychotic of choice in severe psychotic disorder with comorbid impaired glucose tolerance.

Antipsychotics are the mainstay treatment for the majority of severe mental illnesses. Such patients are also more prone to develop medical comorbidities, which complicate the treatment decisions. It is estimated that up to 40% of individuals with schizophrenia have impaired glucose tolerance (IGT) or diabetes, which can be attributed to a combination of genetic, lifestyle, and medication-related factors. Some widely used antipsychotic medications like olanzapine, risperidone, and clozapine have been associated with an increased risk of weight gain, insulin resistance, and other metabolic abnormalities, which can worsen IGT and increase the risk of developing diabetes. Among second-generation antipsychotics (SGAs), amisulpride, aripirazole, and ziprasidone have a fairly low potency to cause obesity and hyperglycemia. In this context, clinicians must balance the benefits and risks of different antipsychotic medications and consider the individual's specific needs and preferences. Here, we shall discuss three cases, to ascertain how the use of amisulpride helped in glycemic control, and also reflect on probable etiologies leading to deranged glucose levels.

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.

Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense potential for addressing this gap by permitting open-ended inputs, including the ability to customize interventions to individuals' unique needs. However, user expectations and potential limitations of LLMs in this context remain underexplored. To address this, we conducted interviews and focus group discussions with 15 university students and 6 experts, during which a technology probe for generating personalized advice for managing procrastination was presented. Our results highlight the necessity for LLMs to provide structured, deadline-oriented steps and enhanced user support mechanisms. Additionally, our results surface the need for an adaptive approach to questioning based on factors like busyness. These findings offer crucial design implications for the development of LLM-based tools for managing procrastination while cautioning the use of LLMs for therapeutic guidance.

Embolization techniques of spontaneous direct carotid-cavernous fistulae: a single-center experience.

PURPOSE: Spontaneous direct carotid-cavernous fistula (CCF) are usually caused by a ruptured carotid cavernous aneurysm. We studied treatment of spontaneous direct CCFs in a single-center cohort of a high-volume tertiary referral center, reporting anatomical details, technical approaches of treatment, and outcomes. METHODS: Adult patients with a spontaneous direct CCF treated between 2010-2022 with follow-up MRI and/or DSA imaging available were retrospectively analyzed. We studied age, sex, clinical presentation, angiographic findings, treatment techniques, outcomes, and complications. RESULTS: Out of 80 patients with CCFs, twelve patients were treated for a non-traumatic direct CCF (15%) in 13 sessions. Median age was 65 years. Two patients had an underlying connective tissue disorder. In 10 cases, the direct CCF was caused by a ruptured cavernous carotid aneurysm. The direct CCFs were treated by endovascular transarterial embolization (10 cases), transvenous embolization (1 case), or surgery (1 case). Selective closure of the shunt was possible in 10 patients. Two patients were treated with parent vessel occlusion (PVO; one endovascular; one surgical, with bypass). Complications occurred in 2 / 12 patients (17%), with permanent morbidity in two patients (17%): trigeminal neuralgia after PVO and new infarct after surgical PVO and bypass. Selective closure of CCF resulted in no morbidity. There was no mortality in our series. CONCLUSION: Spontaneous direct CCFs are caused by rupture of a cavernous carotid aneurysm in most cases. Selective closure of the shunt, usually feasible transarterially with coils, achieves good results. Reconstructive endovascular techniques are preferred to minimize treatment related neurological complications.

Prevalence of post-traumatic stress disorder and depressive symptoms among civilians residing in armed conflict-affected regions: a systematic review and meta-analysis.

Background: Globally, populations afflicted by armed conflict are known to have high rates of mental health disorders. Aims: This meta-analysis aims to estimate the prevalence of post-traumatic stress disorder (PTSD) and depressive symptoms among civilians residing in armed conflict-affected regions. Methods: This meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A literature search employing MEDLINE(R), Embase Classic+Embase, APA PsycINFO, Ovid Healthstar, Journal@Ovid Full Text, Cochrane, PTSDpubs and CINAHL was conducted from inception until 19 March 2024 to identify relevant studies. Quality assessment was performed using the Joanna Briggs Institute Critical Appraisal Checklist for Prevalence Studies, and a Comprehensive Meta-Analysis was used to conduct the statistical analysis. Results: The search yielded 38 595 articles, of which 57 were considered eligible for inclusion. The included studies comprised data from 64 596 participants. We estimated a prevalence of 23.70% (95% CI 19.50% to 28.40%) for PTSD symptoms and 25.60% (95% CI 20.70% to 31.10%) for depressive features among war-afflicted civilians. The subgroup analysis based on time since the war and the country's economic status revealed the highest prevalence for both PTSD and depressive symptoms was present during the years of war and in low/middle-income countries. Conclusions: The results of this study provide conclusive evidence of the detrimental impacts of armed conflict on mental health outcomes. Hence, it is crucial to emphasise the significance of both physical and mental health in the aftermath of war and take appropriate humanistic measures to overcome challenges in the management of psychiatric illnesses. PROSPERO registration number: CRD42023416096.

Leveraging ANFIS with Adam and PSO optimizers for Parkinson's disease.

Parkinson's disease (PD) is an age-related neurodegenerative disorder characterized by motor deficits, including tremor, rigidity, bradykinesia, and postural instability. According to the World Health Organization, about 1 % of the global population has been diagnosed with PD, and this figure is expected to double by 2040. Early and accurate diagnosis of PD is critical to slowing down the progression of the disease and reducing long-term disability. Due to the complexity of the disease, it is difficult to accurately diagnose it using traditional clinical tests. Therefore, it has become necessary to develop intelligent diagnostic models that can accurately detect PD. This article introduces a novel hybrid approach for accurate prediction of PD using an ANFIS with two optimizers, namely Adam and PSO. ANFIS is a type of fuzzy logic system used for nonlinear function approximation and classification, while Adam optimizer has the ability to adaptively adjust the learning rate of each individual parameter in an ANFIS at each training step, which helps the model find a better solution more quickly. PSO is a metaheuristic approach inspired by the behavior of social animals such as birds. Combining these two methods has potential to provide improved accuracy and robustness in PD diagnosis compared to existing methods. The proposed method utilized the advantages of both optimization techniques and applied them on the developed ANFIS model to maximize its prediction accuracy. This system was developed by using an open access clinical and demographic data. The chosen parameters for the ANFIS were selected through a comparative experimental analysis to optimize the model considering the number of fuzzy membership functions, number of epochs of ANFIS, and number of particles of PSO. The performance of the two ANFIS models: ANFIS (Adam) and ANFIS (PSO) focusing at ANFIS parameters and various evaluation metrics are further analyzed in detail and presented, The experimental results showed that the proposed ANFIS (PSO) shows better results in terms of loss and precision, whereas, the ANFIS (Adam) showed the better results in terms of accuracy, f1-score and recall. Thus, this adaptive neural-fuzzy algorithm provides a promising strategy for the diagnosis of PD, and show that the proposed models show their suitability for many other practical applications.

Anti-N-Methyl-D-Aspartate Receptor Encephalopathy in a Young Female.

Widely distributed in the central nervous system (CNS), N-methyl-D-aspartate receptors (NMDARs) are believed to be involved in long-term potentiation, essential in regulating and forming memory. This condition primarily occurs in young females because of autoantibodies forming against the N-methyl-D-aspartate receptor-1 (NR1) or N-methyl-D-aspartate receptor-2 (NR2) subunits of NMDAR in the CNS, ultimately portraying a unique psychoneurological phenomenon. Patients with antibodies against NMDAR present with a combination of neurological and psychiatric signs and symptoms. This article presents a case of a young female with no significant past medical, psychological, or surgical history. While being previously diagnosed with acute psychosis, upon arrival at the emergency department (ED), she also displayed an acute decline in judgment, hallucinations, severe agitation, and peculiar behavior, prompting family members to seek medical attention. Consequently, she was evaluated for metabolic and infectious encephalopathy. Following a thorough examination and extensive laboratory imaging, the patient was found to have NMDAR antibody encephalopathy. After dedicated treatment, her two-month follow-up presented a complete resolution of symptoms.

Combined or High Dose Immunosuppression in Inflammatory Bowel Disease patients who are NUDT15 Homozygous Harbors Risk of Developing Invasive Fungal Infections: A Case Series.

NUDT15 homozygous mutations predispose patients to severe leucopenia, which invites risk of disseminated fungal infections when high doses or a combination of immunosuppressives are administered in this patient population.

Epidemiology of Sports Injuries Among High School Athletes in the United States: Data From 2015 to 2019.

Background: Nearly 8 million high school students in the United States participate in sports each year. With the lack of recent population data, an update to previous studies on US high school athletes is needed. Purpose: To update the epidemiology of sports injuries in high school athletes in the United States. Study Design: Descriptive epidemiology study. Methods: The data from the National Health School Sports-Related Injury Surveillance Study, including 100 nationally representative high schools, were obtained for 9 high school sports (boys' football, soccer, basketball, wrestling, and baseball and girls' soccer, basketball, volleyball, and softball) between the 2015 and 2019 academic years. Injury rates were calculated as the ratio of injuries per 1000 athlete exposures (AEs), defined as 1 athlete participating in 1 practice or competition. Data on injured body area, injury type (sprains/strains, concussions, contusions, and fractures), time loss, and need for surgery were also obtained. Rate ratios (RRs) with 95% CIs and P values were calculated. Results: Athletic trainers reported 15,531 injuries during 6,778,209 AEs, with an overall rate of 2.29 injuries per 1000 AEs. Injury rates were highest in football (3.96), girls' soccer (2.65), and boys' wrestling (2.36). The overall injury rate was lower in girls' sports (1.86) compared with boys' sports (2.52) (RR, 0.74 [95% CI, 0.71-0.76]; P < .001) and was higher in competition compared with practice (RR, 3.39 [95% CI, 3.28-3.49]; P < .001). The most commonly injured body areas were the head/face (24.2%), ankle (17.6%), and knee (14.1%). Sprains/strains (36.8%) and concussions (21.6%) were the most common diagnoses. Overall, 39.2% and 34% of injuries resulted in a time loss of <1 week and 1 to 3 weeks, respectively. Surgery was required in 6.3% of injuries, with wrestling (9.6%), girls' basketball (7.6%), and boys' baseball (7.4%) being the sports with the highest proportion of injuries needing surgery. Conclusion: Study findings demonstrated that boys' football, girls' soccer, and boys' wrestling had the highest injury rates, with boys' sports overall having higher injury rates than girls' sports. Sprains/strains and concussions were the most common diagnoses. Few injuries required surgery.

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework.

Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challenge. In this paper, we present a novel methodology for categorizing AIoMT devices through the application of decentralized processing, referred to as "Federated Learning" (FL). Our approach involves deploying a system on standard IoT devices and labeled IoMT devices for training purposes and attribute extraction. Through this process, we extract and map the interconnected attributes from a global federated cum aggression server. The aim of this terminology is to extract interdependent devices via federated learning, ensuring data privacy and adherence to operational policies. Consequently, a global training dataset repository is coordinated to establish a centralized indexing and synchronization knowledge repository. The categorization process employs generic labels for devices transmitting medical data through regular communication channels. We evaluate our proposed methodology across a variety of IoT, IoMT, and AIoMT devices, demonstrating effective classification and labeling. Our technique yields a reliable categorization index for facilitating efficient access and optimization of medical devices within global servers.

Exploring Zingiber officinale bioactive compounds for inhibitory effects on Streptococcus pneumoniae capsular polysaccharide biosynthesis proteins: In silico study.

The capsule is a major virulence factor for Streptococcus pneumoniae which causes global morbidity and mortality. It is already known that there are few conserved genes in the capsular biosynthesis pathway, which are common among all known serotypes, called CpsA, CpsB, CpsC and CpsD. Inhibiting capsular synthesis can render S. pneumoniae defenseless and vulnerable to phagocytosis. The Inhibitory potential of active Zingiber officinale compounds was investigated against the 3D (3-dimensional) structural products of Cps genes using in silico techniques. A 3D compound repository was created and screened for drug-likeness and the qualified compounds were used for molecular docking and dynamic simulation-based experiments using gallic acid for outcome comparison. Cavity-based docking revealed five different cavities in the CpsA, CpsB and CpsD proteins, with gallic acid and selected compounds of Zingiber in a binding affinity range of -6.8 to -8.8 kcal/mol. Gingerenone A, gingerenone B, isogingerenone B and gingerenone C showed the highest binding affinities for CpsA, CpsB and CpsD, respectively. Through the Molegro Virtual Docker re-docking strategy, the highest binding energies (-126.5 kcal/mol) were computed for CpsB with gingerenone A and CpsD with gingerenone B. These findings suggest that gingerenone A, B and C are potential inhibitors of S. pneumoniae-conserved capsule-synthesizing proteins.

Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization.

Skin Cancer is caused due to the mutational differences in epidermis hormones and patch appearances. Many studies are focused on the design and development of effective approaches in diagnosis and categorization of skin cancer. The decisions are made on independent training dataset under limited editions and scenarios. In this research, the kaggle based datasets are optimized and categorized into a labeled data array towards indexing using Federated learning (FL). The technique is developed on grey wolf optimization algorithm to assure the dataset attribute dependencies are extracted and dimensional mapping is processed. The threshold value validation of the dimensional mapping datasets is effectively optimized and trained under the neural networking framework further expanded via federated learning standards. The technique has demonstrated 95.82% accuracy under GWO technique and 94.9% on inter-combination of Trained Neural Networking (TNN) framework and Recessive Learning (RL) in accuracy.

A glycolytic metabolite bypasses "two-hit" tumor suppression by BRCA2.

Knudson's "two-hit" paradigm posits that carcinogenesis requires inactivation of both copies of an autosomal tumor suppressor gene. Here, we report that the glycolytic metabolite methylglyoxal (MGO) transiently bypasses Knudson's paradigm by inactivating the breast cancer suppressor protein BRCA2 to elicit a cancer-associated, mutational single-base substitution (SBS) signature in nonmalignant mammary cells or patient-derived organoids. Germline monoallelic BRCA2 mutations predispose to these changes. An analogous SBS signature, again without biallelic BRCA2 inactivation, accompanies MGO accumulation and DNA damage in Kras-driven, Brca2-mutant murine pancreatic cancers and human breast cancers. MGO triggers BRCA2 proteolysis, temporarily disabling BRCA2's tumor suppressive functions in DNA repair and replication, causing functional haploinsufficiency. Intermittent MGO exposure incites episodic SBS mutations without permanent BRCA2 inactivation. Thus, a metabolic mechanism wherein MGO-induced BRCA2 haploinsufficiency transiently bypasses Knudson's two-hit requirement could link glycolysis activation by oncogenes, metabolic disorders, or dietary challenges to mutational signatures implicated in cancer evolution.

Improved long-term survival rate in the responders to bortezomib, cyclophosphamide, dexamethasone induction therapy in a transplant-eligible cohort of predominantly middle-age multiple myeloma patients.

BACKGROUND: Multiple myeloma (MM) represents the second most common hematologic malignancy (15%). Induction with bortezomib, cyclophosphamide, and dexamthasone VCd (d: low dose dexamthasone) regimen is widely used due to its high effectiveness, low toxicity and good tolerability, particularly with renal impairment. Real-world data on the use of VCD in clinical practice is lacking. OBJECTIVES: Evaluate the real-world experience of the VCD regimen. DESIGN: Retrospective. SETTING: Tumor registry database of tertiary cancer care center. PATIENTS AND METHODS: newly diagnosed MM patients who received VCD induction and underwent autologous stem cell transplant (ASCT) from July 2007 to July 2020. MAIN OUTCOME MEASURES: response evaluation, progression-free survival (PFS) and overall survival (OS). SAMPLE SIZE: 87 patients. RESULTS: Of 102 patients who started induction with VCd, 87 patients experienced a partial response or more overall response rate of 85%). The median age of these 87 patients at diagnosis was 52 years, of which 29.9% presented with renal impairment and 60.3% of patients had stage 2 by the Revised International Staging System (R-ISS). Patients with a standard cytogenetic risk achieved a better response compared to those with a poor cytogenetic risk (P=.044). The post-induction response rates were 6.9% stringent complete remission (sCR), 35% complete remission (CR); 41.4% very good partial response (VGPR), and 16.1% partial response (PR), respectively; the response rates became greater for sCR and CR post-transplantation at day 100 with 16.1% sCR, 35.6% CR, 32.2% VGPR and 16.1% PR, respectively. The median PFS was 49 months and 5 years OS was 84%. PFS was better in patients who achieved sCR vs PR (83 vs 35 months, P=.037). High LDH, high-risk cytogenetic and stage 3 R-ISS showed a worse median PFS and OS. CONCLUSIONS: VCD induction in newly diagnosed MM is highly effective, convenient, tolerable and affordable regimen, especially in low and middle-income countries with limited resources, also with favorable outcomes and survival. while those who did not respond successfully shifted to VRD or VTD. LIMITATIONS: The usual limitations of a retrospective analysis using registry-level data, no data on quality of life.

Prunella vulgaris-phytosynthesized platinum nanoparticles: Insights into nanozymatic activity for H2O2 and glutamate detection and antioxidant capacity.

Artificial nanozymes (enzyme-mimics), specifically metallic nanomaterials, have garnered significant attention recently due to their reduced preparation cost and enhanced stability in a wide range of environments. The present investigation highlights, for the first time, a straightforward green synthesis of biogenic platinum nanoparticles (PtNPs) from a natural resource, namely Prunella vulgaris (Pr). To demonstrate the effectiveness of the phytochemical extract as an effective reducing agent, the PtNPs were characterized by various techniques such as UV-vis spectroscopy, High-resolution Transmission electron microscopy (HR-TEM), zeta-potential analysis, Fourier-transform infrared spectroscopy (FTIR), and Energy dispersive spectroscopy (EDS). The formation of PtNPs with narrow size distribution was verified. Surface decoration of PtNPs was demonstrated with multitudinous functional groups springing from the herbal extract. To demonstrate their use as viable nanozymes, the peroxidase-like activity of Pr/PtNPs was evaluated through a colorimetric assay. Highly sensitive visual detection of H2O2 with discrete linear ranges and a low detection limit of 3.43 µM was demonstrated. Additionally, peroxidase-like catalytic activity was leveraged to develop a colorimetric platform to quantify glutamate biomarker levels with a high degree of selectivity, the limit of detection (LOD) being 7.00 µM. The 2,2-Diphenyl-1-picrylhydrazyl (DPPH) test was used to explore the scavenging nature of the PtNPs via the degradation of DPPH. Overall, the colorimetric assay developed using the Pr/PtNP nanozymes in this work could be used in a broad spectrum of applications, ranging from biomedicine and food science to environmental monitoring.

Longitudinal changes in bone mineral density may be associated with long-term survival in patients with cirrhosis: A proof of concept of study.

INTRODUCTION: The impact of longitudinal changes in different body components measured via body composition analysis (BCA) on liver-related outcomes in patients with cirrhosis is poorly understood. We evaluated the prognostic relevance of longitudinal changes in body composition over one year in patients with cirrhosis. METHODS: This was a follow-up study of a randomized controlled trial evaluating changes in bone density measured via dual energy X-ray absorptiometry (DEXA) upon vitamin D supplementation. Patients with available anthropometric indices, fat mass (FM), fat-free mass (FFM), bone-density at lumbar spine (LD) and left femur-neck (FD) (assessed by T score) at two time points one year apart were assessed for outcomes. The prognostic relevance of change in parameters such as ΔFM, ΔFFM, ΔLD and ΔFD over one year was assessed and compared with baseline model for end-stage liver disease (MELD) score. RESULTS: Patients with cirrhosis (n=112) (mean age 41.8±12 years, 58.5% males) were followed up for median duration of 5.7 years interquartile range [IQR 3.5-5.7], with five-year survival rate of 77%. On serial BCA, ΔLD (p=0.029) and ΔFD (p=0.003) emerged as significant predictors of survival, whereas ΔFM (p=0.479), ΔFFM (p=0.245) and ΔBMI (p=0.949) were not. The area under curve of ΔLD and MELD score for predicting survival was 0.636 (0.5-0.773) and 0.664 (0.555-0.773), respectively. ΔFD<0.1 over one year had sensitivity and specificity of 70.4% and 56.5% to predict poor survival. The combination of ΔFD, MELD and ascites predicted five-year survival with an optimism-corrected c-statistic of 0.785. CONCLUSION: Among body composition parameters, changes in bone mineral density correlate best with survival and have prognostic relevance similar to that of ascites and MELD score.

Outcomes and Long-Term Survival of Adolescent and Young Adult Patients Admitted to the Intensive Care Unit Following Allogeneic Hematopoietic Stem Cell Transplantation: A Single-Center Experience of 152 Patients.

BACKGROUND AND OBJECTIVES: Prognostic factors reliably predicting outcomes for critically ill adolescent and young adult (AYA) patients undergoing allogeneic hematopoietic cell transplantation (allo-HSCT) are lacking. We assessed transplant and intensive care unit (ICU)-related factors impacting patient outcomes. PATIENTS AND METHODS: AYA patients who underwent allo-HSCT and required ICU admission at a Tertiary care Centre, during the period of 2003-2013, were included in this retrospective review. This was a non-interventional study. Only outcomes after the first allo-HSCT and index ICU admissions were analyzed. Disease-, transplant-, and ICU-related variables were analyzed to identify risk factors predictive of survival. RESULTS: Overall, 152 patients were included (males, 60.5%); median age at transplantation was 24 years (interquartile range [IQR] 18-32.5); median age at admission to the ICU was 25.8 years (IQR 19-34). Eighty-four percent underwent transplantation for a hematological malignancy; 129 (85%) received myeloablative conditioning. Seventy-one percent of ICU admissions occurred within the first year after allo-HSCT. ICU admission was primarily due to respiratory failure (47.3%) and sepsis (43.4%). One hundred and three patients (68%) died within 28 days of ICU admission. The 1- and 5-year overall survival rates were 19% and 17%, respectively. Main causes for ICU-related death were refractory septic shock with multiorgan failure (n = 49, 32%) and acute respiratory distress syndrome (ARDS) (n = 39, 26%). Univariate analysis showed that ICU mortality was associated with an Acute Physiology and Chronic Health Evaluation (APACHE) II score >20, a sequential organ failure assessment (SOFA score) > 12, a high lactate level, anemia, thrombocytopenia, leukopenia, hyperbilirubinemia, a high international normalized ratio (INR) and acute graft-versus-host disease (GVHD). Multivariate analysis identified thrombocytopenia, high INR, and acute GVHD as independent predictors of mortality. CONCLUSIONS: In AYA allo-HSCT patients admitted to the ICU, mortality remains high. Higher SOFA and APACHE scores, the need for organ support, thrombocytopenia, coagulopathy, and acute GVHD predict poor outcomes.

Who is absent and why? Factors affecting doctor absenteeism in Bangladesh.

Absenteeism by doctors in public healthcare facilities in rural Bangladesh is a form of chronic rule-breaking and is recognised as a critical problem by the government. We explored the factors underlying this phenomenon from doctors' perspectives. We conducted a facility-based cross-sectional survey in four government hospitals in Dhaka, Bangladesh. Junior doctors with experience in rural postings were interviewed to collect data on socio-demographic characteristics, work and living experience at the rural facilities, and associations with professional and social networks. Multiple logistic regression was used to determine the factors associated with rural retention. Of 308 respondents, 74% reported having served each term of their rural postings without interruptions. The main reasons for absenteeism reported by those who interrupted rural postings were formal training opportunities (65%), family commitments (41%), and a miscellaneous group of others (17%). Almost half of the respondents reported unmanageable workloads. Most (96%) faced challenges in their last rural posting, such as physically unsafe environments (70%), verbally abusive behaviour by patients/caregivers (67%) and absenteeism by colleagues that impacted them (48%). Respondents who did not serve their entire rural posting were less likely to report an unmanageable workload than respondents who did (AOR 0.39, 95% CI 0.22-0.70). Respondents with connections to influential people in the local community had a 2.4 times higher chance of serving in rural facilities without interruption than others (AOR 2.40, 95% CI 1.26-4.57). Our findings demonstrate that absenteeism is not universal and depends upon doctors' socio-political networks. Policy interventions rarely target unsupportive or threatening behaviour by caregivers and community members, a pivotal disincentive to doctors' willingness to work in underserved rural areas. Policy responses must promote opportunities for doctors with weak networks who are willing to attend work with appropriate support.

Role of Electronegativity in Environmentally Persistent Free Radicals (EPFRs) Formation on ZnO.

Environmentally persistent free radicals (EPFRs), a group of emerging pollutants, have significantly longer lifetimes than typical free radicals. EPFRs form by the adsorption of organic precursors on a transition metal oxide (TMO) surface involving electron charge transfer between the organic and TMO. In this paper, dihalogenated benzenes were incorporated to study the role of electronegativity in the electron transfer process to obtain a fundamental knowledge of EPFR formation mechanism on ZnO. Upon chemisorption on ZnO nanoparticles at 250 °C, electron paramagnetic resonance (EPR) confirms the formation of oxygen adjacent carbon-centered organic free radicals with concentrations between 1016 and 1017 spins/g. The radical concentrations show a trend of 1,2-dibromobenzene (DBB) > 1,2-dichlorobenzene (DCB) > 1,2-difluorobenzene (DFB) illustrating the role of electronegativity on the amount of radical formation. X-ray absorption spectroscopy (XAS) confirms the reduction of the Zn2+ metal center, contrasting previous experimental evidence of an oxidative mechanism for ZnO single crystal EPFR formation. The extent of Zn reduction for the different organics (DBB > DCB > DFB) also correlates to their polarity. DFT calculations provide theoretical evidence of ZnO surface reduction and exhibit a similar trend of degree of reduction for different organics, further building on the experimental findings. The lifetimes of the EPFRs formed confirm a noteworthy persistency.