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The prevalence of chronic kidney disease in people with severe mental illness: A systematic review protocol
Background People with severe mental illness (SMI) are more likely to develop long-term physical health conditions, including type 2 diabetes and cardiovascular disease, compared to people without SMI. This contributes to an inequality in life expectancy known as the ‘mortality gap’. Chronic kidney disease (CKD) is a growing global health concern set to be the 5th leading cause of life-years lost by 2040. However, there is limited research exploring the relationship between CKD and SMI. This systematic review will aim to examine the prevalence and incidence of CKD among people with SMI. Methods We will search Medline, Embase, PsycINFO, CINAHL, Scopus and Web of Science for primary epidemiological research reporting the prevalence or incidence of CKD among people with SMI in any setting. Retrieved records will be managed in Covidence and screened by two independent reviewers. Data will be extracted from included studies using a piloted data extraction form, and the quality of studies will be evaluated using the appropriate JBI Critical Appraisal Checklist. The certainty of evidence will be assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach. Data from the included studies will be narratively synthesised. Meta-analyses will be conducted using random effects models to examine the prevalence and incidence of CKD among people with SMI. Discussion There is limited research exploring the relationship between CKD and SMI, and this proposed systematic review will be the first to examine the prevalence of CKD among people with SMI. This review will highlight the extent of the problem and provide a foundation for future research to improve health outcomes for people with SMI.
Temperature and repeated catecholamine surges modulate regional wall motion abnormalities in a rodent takotsubo syndrome model
Abstract Transient regional wall motion abnormalities (RWMA) after stress are a hallmark of experimental and clinical Takotsubo Syndrome (TS). The mechanisms driving RWMA remain incompletely understood. This study investigates these mechanisms in a small-animal model of TS, validating the model’s complication profile, recovery dynamics, and recurrence, while assessing the predictive value of echocardiography. Male, 7-9-week-old rats underwent TS induction via isoprenaline infusion. The effects of body temperature and repeated catecholaminergic surges on RWMA were assessed using high-resolution speckle-tracking echocardiography. Complications were evaluated through ECG, autopsy, and blood gas analysis. The TS phenotype showed reduced longitudinal strain with RWMA characterized by apical end-systolic akinesia/dyskinesia, a contracting base, and a narrow transition zone, resulting in apical ballooning. RWMA originated from the apex and recovered in the opposite direction. Hyperthermia increased RWMA incidence, while hypothermia attenuated RWMA (p = 0.008). A repeated catecholamine surge exacerbated RWMA in the acute phase (p = 0.042) but not during recovery (p = 0.308), with reduced RWMA susceptibility after recovery (RR 0.45, 95%CI; 0.27–0.76). Systolic function at initial echocardiography predicted worse outcomes (odds ratio 0.73; 95%CI 0.57–0.85), and RWMA extent correlated with recovery time (Rho = 0.772). TS rats developed complications similar to patients, including heart failure, arrhythmias, and thrombus formation. This study validates the small-animal TS model by replicating patient findings, and emphasizing the importance of controlling body temperature and limiting adrenergic drug use in managing TS. RWMA analysis offers promise as a diagnostic and prognostic tool in TS, and the delayed adaptive response presents a potential pathway for therapeutic intervention.
Late initiation of antenatal care visit amid implementation of new antenatal care model in Sub-Saharan African countries: A multilevel analysis of multination population survey data
Introduction Although late initiation of antenatal care has been linked with adverse pregnancy outcomes, a significant number of pregnant women in resource-limited regions are seeking this care late. There has been a lack of information on the extent and factors influencing late initiation of antenatal care in the African context following the implementation of the new antenatal care model in 2016. Thus, we aimed to determine the pooled prevalence of late antenatal care visit and its determinants among women in Sub-Saharan Africa (SSA) using national surveys conducted after the implementation of new guidelines. Methods We analyzed data from the recent demographic and health survey (DHS) conducted in 16 SSA between 2018 and 2022 using a weighted sample of 101,983 women who had antenatal care follow-up during their index pregnancy. A multilevel logistic regression models were fitted and likelihood and deviance values were used for model selection. In the regression model, we used adjusted odds ratios along with their corresponding 95% confidence intervals to determine the factors associated with late antenatal care visit. Results The pooled prevalence of late antenatal care visit among pregnant women in SSA was 53.8% [95% CI: 46.2% - 61.3%], ranging from 27.8% in Liberia to 75.8% in Nigeria. Women’s age and education, working status, partner’s education, health insurance coverage, birth order, household wealth, age at marriage, decision on health care, residence, and community-level women’s illiteracy were the factors associated with late antenatal care visit. Conclusion More than half of pregnant women in SSA initiated attending antenatal care during late pregnancy, with significant differences seen among countries. These results underscore the necessity for focused interventions to tackle these issues and enhance prompt access to antenatal services for better maternal and child health outcomes in the area. Moreover, creating tailored interventions for younger women, those with multiple previous births, employed women, and those who experienced early marriage to address their specific challenges and obstacles in seeking care is crucial.
Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture
A new electoral bottom-up model of institutional governance
Abstract The sustainable governance of Global Risky Commons (GRC)—global commons in the presence of a sizable risk of overall failure—is ubiquitous and requires a global solution. A prominent example is the mitigation of the adverse effects of global warming. In this context, the Collective Risk Dilemma (CRD) provides a convenient baseline model which captures many important features associated with GRC type problems by formulating them as problems of cooperation. Here we make use of the CRD to develop, for the first time, a bottom-up institutional governance framework of GRC. We find that the endogenous creation of local institutions that require a minimum consensus amongst group members—who, in turn, decide the nature of the institution (reward/punishment) via an electoral process—leads to higher overall cooperation than previously proposed designs, especially at low risk, proving that carrots and sticks implemented through local voting processes are more powerful than other designs. The stochastic evolutionary game theoretical model framework developed here further allows us to directly compare our results with those stemming from previous models of institutional governance. The model and the methods employed here are relevant and general enough to be applied to a variety of contemporary interdisciplinary problems.
Application of Hansen solubility parameters in the eutectic mixtures: difference between empirical and semi-empirical models
Synthesis of chitosan/PVA/copper oxide nanocomposite using Anacardium occidentale extract and evaluating its antioxidant, antibacterial, anti-inflammatory and cytotoxic activities
Author Correction: Magnetic and pH sensitive nanocomposite microspheres for controlled temozolomide delivery in glioblastoma cells
A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection
Detector development for spin-echo SANS techniques using ZnS:Ag/6LiF and 6Li glass scintillators
Abstract Neutron spin-echo techniques exploit Larmor precession of the neutron spin to encode either the scattering angle or energy. These are powerful means to extend the measurable momentum transfer (Q) and energy (E) range in neutron scattering measurements. Standard small-angle neutron scattering (SANS) instruments are sensitive in a range of $$\approx$$ ≈ 10–200 nm, whereas these techniques allow the study of structures in materials on length scales of tens of nm up to tens of $$\upmu$$ μ m. The Larmor instrument at ISIS is equipped to operate in spin-echo modulated SANS (SEMSANS) and spin-echo SANS (SESANS) mode. Two separate detectors were developed to cope with the performance demands set by these techniques. The first is a position sensitive ZnS:Ag/6LiF scintillator-based detector coupled with wavelength shifting fibres that can be used for both SEMSANS and SESANS. A detector prototype using GS20 glass scintillator directly coupled to a multi-anode photomultiplier was developed as an alternative for SESANS measurements at higher incident neutron fluxes. The designs and results obtained with the two detectors are presented together with future improvements to both technologies. These, in addition to promising development routes, demonstrate the potential for utilising a WLSF ZnS:Ag/6LiF scintillator detector and a pixelated GS20 detector for SEMSANS and SESANS applications.
Long-term impact of different prevalent cropping systems on soil physico-chemical characteristics under subtropical climate conditions of Punjab, Pakistan
Neuromorphic system using capacitor synapses
Comparison of deep transfer learning models for classification of cervical cancer from pap smear images
Using machine learning to predict outcomes following transcarotid artery revascularization
Long-term maintenance of patient-specific characteristics in tumoroids from six cancer indications
Abstract Tumoroids, sometimes referred to as cancer organoids, are patient-derived cancer cells grown as 3D, self-organized multicellular structures that maintain key characteristics (e.g., genotype, gene expression levels) of the tumor from which they originated. These models have emerged as valuable tools for studying tumor biology, cytotoxicity, and response of patient-derived cells to cancer therapies. However, the establishment and maintenance of tumoroids has historically been challenging, labor intensive, and highly variable from lab to lab, hindering their widespread use. Here, we characterize the establishment and/or expansion of colorectal, lung, head and neck, breast, pancreas, and endometrial tumoroids using the standardized, serum-free Gibco OncoPro Tumoroid Culture Medium. Newly derived tumoroid lines ( n = 20) were analyzed by targeted genomic profiling and RNA sequencing and were representative of tumor tissue samples. Tumoroid lines were stable for over 250 days in culture and freeze-thaw competent. Previously established tumoroid lines were also transitioned to OncoPro medium and exhibited, on average, similar growth rates and conserved donor-specific characteristics when compared to original media systems. Additionally, OncoPro medium was compatible with both embedded culture in extracellular matrix and growth in a suspension format for facile culture and scale up. An example application of these models for assessing the cytotoxicity of a natural killer cell line and primary natural killer cells over time and at various doses demonstrated the compatibility of these models with assays used in compound and cell therapy development. We anticipate that the standardization and versatility of this approach will have important benefits for basic cancer research, drug discovery, and personalized medicine and help make tumoroid models more accessible to the cancer research community.
A multidimensional approach to quantum state tomography of photoelectron wavepackets
A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries
Abstract Obstetric ultrasound (OBUS) is recommended as part of antenatal care for pregnant individuals worldwide. To better understand current uses of OBUS in low- and middle-income countries and perceptions regarding potential use of artificial intelligence (AI)-assisted OBUS, we conducted an anonymous online global survey. A total of 176 respondents representing 34 countries participated, including 41% physicians, 49% nurses or midwives, and 6% ultrasound technicians. Most had received OBUS training (72%), reported expertise (60%) and confidence (77%) in OBUS use, and had access to ultrasound (85%). Assessment of gestational age, fetal viability, fetal presentation, and multiple gestation were both the most common OBUS uses and among the most highly prioritized for AI-assisted OBUS development. Most respondents noted ultrasound access was important (84%) and agreed that OBUS improves quality of care (98%) and patient outcomes (97%). Of the 34% expressing reservations associated with using AI-assisted OBUS, healthcare providers not understanding the technology (71%), misdiagnosis (62%), and cost (59%) were the most common. Better understanding the OBUS user, the pregnant individual, and the context, and taking care to ensure responsible, sustainable, and inclusive development and use of AI-assisted OBUS will be critical to successful integration and implementation and to increasing access to OBUS.
Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition
Identification of novel genetic variants associated with feline cardiomyopathy using targeted next-generation sequencing
Abstract Cardiomyopathies are the most common heritable heart diseases in cats and humans. This study aimed to identify novel genetic variants in cats with hypertrophic cardiomyopathy (HCM) and restrictive cardiomyopathy (RCM) using a targeted panel of genes associated with human cardiomyopathy. Cats were phenotyped for HCM/RCM by echocardiography ± necropsy. DNA was extracted from residual blood, and targeted next-generation sequencing was performed on two separate feline cohorts: an across-breed cohort (23 healthy cats and 21 HCM-affected pedigree or Domestic Shorthair cats), and a within-breed cohort of Birman pedigree cats (14 healthy, 8 HCM-affected, and 6 RCM-affected). Genome Analysis Toolkit was used for variant discovery. Genomic association analyses, including the covariates breed, age, and sex, were conducted to identify genetic variants of interest. We identified genetic variants associated with both HCM and RCM susceptibility in the sarcomeric genes ACTC1 , ACTN2 , MYH7 , TNNT2 and the non-sarcomeric gene CSRP3 in the Birman pedigree cats. These findings suggest that, as proposed in humans, there is at least partial overlap in the genetic background between the HCM and RCM phenotypes in cats. These findings offer potential insights for comparative cardiac research and translational medicine.