Health security-Why is 'public health' not enough?

There is a growing tendency in global discourse to describe a health issue as a security issue. But why is this health security language and framing necessary during times of crisis? Why is the term "health security" used when perhaps simply saying "public health" would do? As reference to 'health security' grows in contemporary discourse, research, advocacy, and policymaking, its prominence is perhaps most consequential in public health. Existing power dynamics in global health are produced and maintained through political processes.

Crafting dental specialities in Iran: insights from a qualitative study.

Background: Different countries have varying dental specialities, shaped by diverse factors. The determinants influencing the development of these specialities differ between developed and developing countries. This study aimed to explore the factors contributing to the establishment of dental specialities in Iran, a developing country with a wide range of recognised dental specialities.

Factors associated with treatment response in chronic nonbacterial osteomyelitis at a single center: a retrospective cohort study.

Background: NSAIDs are commonly used as first line therapy in chronic nonbacterial osteomyelitis (CNO) but are not effective for all patients. The objective of this study was to identify clinical variables associated with NSAID monotherapy response versus requiring second-line medication in a single-center cohort of patients with CNO.

Methods: The charts of children with CNO who attended a CNO clinic at a quaternary care center between 1/1/05 and 7/31/21 were retrospectively reviewed.

Acute administration of NLX-101, a Serotonin 1A receptor agonist, improves auditory temporal processing during development in a mouse model of Fragile X Syndrome.

Background: Fragile X syndrome (FXS) is a leading known genetic cause of intellectual disability and autism spectrum disorders (ASD)-associated behaviors. A consistent and debilitating phenotype of FXS is auditory hypersensitivity that may lead to delayed language and high anxiety. Consistent with findings in FXS human studies, the mouse model of FXS, the Fmr1 knock out (KO) mouse, shows auditory hypersensitivity and temporal processing deficits.

Four-electron reduction of benzene by a samarium(II)-alkyl without the addition of external reducing agents.

Benzene reduction by molecular complexes remains an important synthetic challenge, requiring harsh reaction conditions involving group I metals. Reductions of benzene, to date, typically result in a loss of aromaticity, although the benzene tetra-anion, a 10π-electron system, has been calculated to be stable and aromatic. Due to the lack of sufficiently potent reductants, four-electron reduction of benzene usually requires the use of group I metals.

Inter-Session Reliability of Functional Performance and Muscle Power in Adults With Severe Obesity.

Reliable and sensitive testing of physical function is crucial for assessing the effects of treatment or exercise intervention in various patient populations. The present study investigated the test-retest reliability and sensitivity (smallest detectable difference: SDD) of selected physical performance tests commonly used in clinical rehabilitation, including tests of habitual and maximal walking speed, walking endurance capacity, handgrip strength (HGS), and lower limb muscle power (Sit-to-Stand (STS), stair climb) in adults with severe obesity meeting the criteria for bariatric surgery. Thirty-two adults (BMI 43.

The two sides of Phobos: Gray and white matter abnormalities in phobic individuals.

Small animal phobia (SAP) is a subtype of specific phobia characterized by an intense and irrational fear of small animals, which has been underexplored in the neuroscientific literature. Previous studies often faced limitations, such as small sample sizes, focusing on only one neuroimaging modality, and reliance on univariate analyses, which produced inconsistent findings. This study was designed to overcome these issues by using for the first time advanced multivariate machine-learning techniques to identify the neural mechanisms underlying SAP.

Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.

Genome-wide association studies (GWASs) have reported multiple risk loci for schizophrenia (SCZ). However, the majority of the associations were from populations of European ancestry. Here we conducted a large-scale GWAS in Eastern Asian populations (29,519 cases and 44,392 controls) and identified ten Eastern Asian-specific risk loci, two of which have not been previously reported.

Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females.

Childhood abuse represents one of the most potent risk factors for the development of psychopathology during childhood, accounting for 30-60% of the risk for onset. While previous studies have separately associated reductions in gray matter volume (GMV) with childhood abuse and internalizing psychopathology (IP), it is unclear whether abuse and IP differ in their structural abnormalities, and which GMV features are related to abuse and IP at the individual level. In a pooled multisite, multi-investigator sample, 246 child and adolescent females between the ages of 8-18 were recruited into studies of interpersonal violence (IPV) and/or IP (i.

Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turbines.

This study presents a novel optimization algorithm known as the Energy Valley Optimizer Approach (EVOA) designed to effectively develop six optimal adaptive fuzzy logic controllers (AFLCs) comprising 30 parameters for a grid-tied doubly fed induction generator (DFIG) utilized in wind power plants (WPP). The primary objective of implementing EVOA-based AFLCs is to maximize power extraction from the DFIG in wind energy applications while simultaneously improving dynamic response and minimizing errors during operation. The performance of the EVOA-based AFLCs is thoroughly investigated and benchmarked against alternative optimization techniques, specifically chaotic billiards optimization (C-BO), genetic algorithms (GA), and marine predator algorithm (MPA)-based optimal proportional-integral (PI) controllers.

Unconventional hexagonal open Prussian blue analog structures.

Prussian blue analogs (PBAs), as a classical kind of microporous materials, have attracted substantial interests considering their well-defined framework structures, unique physicochemical properties and low cost. However, PBAs typically adopt cubic structure that features small pore size and low specific surface area, which greatly limits their practical applications in various fields ranging from gas adsorption/separation to energy conversion/storage and biomedical treatments. Here we report the facile and general synthesis of unconventional hexagonal open PBA structures.

Triboelectric tactile sensor for pressure and temperature sensing in high-temperature applications.

Skin-like sensors capable of detecting multiple stimuli simultaneously have great potential in cutting-edge human-machine interaction. However, realizing multimodal tactile recognition beyond human tactile perception still faces significant challenges. Here, an extreme environments-adaptive multimodal triboelectric sensor was developed, capable of detecting pressure/temperatures beyond the range of human perception.

Exploring transition states of protein conformational changes via out-of-distribution detection in the hyperspherical latent space.

Identifying transitional states is crucial for understanding protein conformational changes that underlie numerous biological processes. Markov state models (MSMs), built from Molecular Dynamics (MD) simulations, capture these dynamics through transitions among metastable conformational states, and have demonstrated success in studying protein conformational changes. However, MSMs face challenges in identifying transition states, as they partition MD conformations into discrete metastable states (or free energy minima), lacking description of transition states located at the free energy barriers.

Machine learning based prediction model for bile leak following hepatectomy for liver cancer.

Objective: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.

Methods: An eXtreme Gradient Boosting (XGBoost) model was developed to predict post-hepatectomy bile leak using data from the ACS-NSQIP database. The model was externally validated using data from hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) multi-institutional databases.

When "loss-of-function" means proteostasis burden: Thinking again about coding DNA variants.

Each human genome has approximately 5 million DNA variants. Even for complete loss-of-function variants causing inherited, monogenic diseases, current understanding based on gene-specific molecular function does not adequately predict variability observed between people with identical mutations or fluctuating disease trajectories. We present a parallel paradigm for loss-of-function variants based on broader consequences to the cell when aberrant polypeptide chains of amino acids are translated from mutant RNA to generate mutated proteins.

Target-assisted self-powered photoelectrochemical sensor based on AgS/BiOCl heterojunction for ultrasensitive chlorpyrifos detection.

Chlorpyrifos (CPF), a widely used organophosphorus pesticide, presents substantial risks to both environmental and human health due to its persistent accumulation, thereby necessitating the development of effective detection methods. Self-powered photoelectrochemical (PEC) sensors, as an innovative technology, address the limitations inherent in conventional sensors, such as susceptibility to interference and inadequate signal response. Herein, we synthesized AgS/BiOCl as a photosensitive material, employing it as a light-harvesting substrate and a signal-transducing platform to develop a self-powered PEC sensor for the detection of CPF.

Coagulopathy at admission in traumatic brain injury and its association with hematoma progression: A systematic review and meta-analysis of 2411 patients.

Progressive hemorrhagic injury (PHI) is a frequent complication of traumatic brain injury (TBI). This study aims to investigate the impact of coagulation factors (platelet [PLT], prothrombin time [PT], activated partial thromboplastin time [aPTT], international normalized ratio , fibrinogen [Fg], D-dimer [Dd], and fibrin [Fib]) at admission and PHI development through a comprehensive systematic review and meta-analysis based on PRISMA 2020 guideline. Databases including PubMed, Scopus, Web of Science, and Embase were searched up to March 2024.

Accounting for microorganisms yields stricter water quality criteria and elevated ecological risks of antibiotics: A case study of sulfonamides in the Yangtze River Delta.

The derivation of water quality criteria (WQC) for antibiotics is influenced by the inclusion of various organisms' toxicity data, including microbial data, though no definitive conclusions have been reached. This study focuses on sulfonamide antibiotics, common in the Yangtze River Delta (YRD), to assess the influences of different organisms' toxicity data on determining WQCs and subsequent evaluation of ecological risks. A total of 263 toxicity data points from eight sulfonamides, including sulfamethoxazole (SMX) and sulfamethazine (SM2), were selected to derive WQCs using Species Sensitivity Distribution (SSD) methods.

Estimating cardiovascular mortality in patients with hypertension using machine learning: The role of depression classification based on lifestyle and physical activity.

Purpose: This study aims to harness machine learning techniques, particularly the Random Survival Forest (RSF) model, to assess the impact of depression on cardiovascular disease (CVD) mortality among hypertensive patients. A key objective is to elucidate the interplay between mental health, lifestyle, and physical activity while comparing the effectiveness of the RSF model against the traditional Cox proportional hazards model in predicting CVD mortality.

Methods: Data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2014 were used for comprehensive depression screening.

Self-perceived physical fitness and occurrences of individual levels of autistic traits in adolescents: a cluster association study.

Background: The association between physical fitness and autistic traits in adolescents remains under explored, especially in adolescents. Understanding this relationship can provide strategies to improve the quality of life of these people.

Objective: To identify the association between cluster characteristics derived from levels of self-perceived physical fitness and the occurrences of individual levels of autistic traits in Brazilian adolescents.

Cross-species single-nucleus analysis reveals the potential role of whole-genome duplication in the evolution of maize flower development.

Background: The evolution and development of flowers are biologically essential and of broad interest. Maize and sorghum have similar morphologies and phylogeny while harboring different inflorescence architecture. The difference in flower architecture between these two species is likely due to spatiotemporal gene expression regulation, and they are a good model for researching the evolution of flower development.

The effects of diazepam on sleep depend on the photoperiod.

Daylength (i.e., photoperiod) provides essential information for seasonal adaptations of organisms.

A thermodynamic evaluation of a multi-objective system optimized using integrated Pinch and exergy analysis.

This article introduces an innovative multipurpose system that integrates a solar power plant with a coastal wind farm to generate refrigeration for refinery processes and industrial air conditioning. The system comprises multiple wind turbines, solar power plants, the Kalina cycle to provide partial energy for the absorption refrigeration cycle used in industrial air conditioning, and a compression refrigeration cycle for propane gas liquefaction. An extensive energy and exergy analysis was conducted on the proposed system, considering various thermodynamic parameters such as the solar power plant's energy output, the absorption chiller's cooling load, the electricity generated by the turbines, the wind turbines' power output, and the energy efficiency and exergy of each cycle within the system.

A comprehensive review of multi-level inverters, modulation, and control for grid-interfaced solar PV systems.

With the significant development in photovoltaic (PV) systems, focus has been placed on inexpensive, efficient, and innovative power converter solutions, leading to a high diversity within power converters and new system configurations for grid-connected PV (GCPV) systems. During the last decade, multilevel inverter (MLI) designs have gained popularity in GCPV applications. This article provides a wide-ranging investigation of the common MLI topology in contrast to other existing MLI topologies for PV applications.