Down-regulation of interlinked inflammatory signalling cascades by ethanolic extract of Suaeda fruticosa Forssk. ex J.F. Gmel. attenuated in vivo inflammatory and nociceptive responses.

Juice and decoction of leaves of Suaeda fruticosa, a halophytic medicinal plant of Cholistan desert, is traditionally used to treat rheumatism. The current study was carried out to probe into in vivo anti-nociceptive, anti-inflammatory, and anti-arthritic potential of ethanolic extract of the whole plant of S. fruticosa (Et-SF) and its bioactive molecules.

Impact of breastfeeding and formula feeding on immune cell populations and blood cell parameters: an observational study.

Objective: Breastfeeding is associated with improved health outcomes in infancy and throughout adulthood as breast milk encompasses diverse immune-active factors that affect the ontogeny of the immune system in breastfed (BF) infants. Nevertheless, the impact of infant feeding on the immune system is poorly understood, and a comprehensive understanding of immune system development in human infants is lacking. In this observational study, we addressed the effects of different infant feeding approaches on cell populations and parameters in the peripheral blood of infants to gain insight into the innate and adaptive arms of the immune system.

[The relationship between neuropsychological indicators and neuroimaging changes according to MRI morphometry in patients with Alzheimer's disease and glaucoma].

Objective: Study of neuroimaging changes according to MRI morphometry and their comparison with the structure and severity of cognitive impairment (CI) in patients with Alzheimer's disease (AD) and primary open-angle glaucoma (POAG).

Material And Methods: The study involved 90 patients who were divided into two equal groups of 45 people and who early had diagnosis of AD (group 1; median age - 71 [66; 77] years) and POAG (group 2; median age - 68 [64; 77] years). 71] years).

Synthetic photoplethysmogram (PPG) signal generation using a genetic programming-based generative model.

Nowadays, photoplethysmograph (PPG) technology is being used more often in smart devices and mobile phones due to advancements in information and communication technology in the health field, particularly in monitoring cardiac activities. Developing generative models to generate synthetic PPG signals requires overcoming challenges like data diversity and limited data available for training deep learning models. This paper proposes a generative model by adopting a genetic programming (GP) approach to generate increasingly diversified and accurate data using an initial PPG signal sample.

An opportunity to sleep well in hospital: development of a multi-level intervention to improve inpatient sleep (ASLEEP) using behaviour change theories.

Background: Sleep is substantial issue for hospital inpatients and can negatively affect healing and recovery. There is a good evidence-base for interventions which can improve sleep, however currently they are not being implemented into NHS practice. To address the evidence-practice gap, we have conducted early-phase development for an inpatient sleep intervention (ASLEEP); a multi-level intervention to improve inpatient sleep in UK hospital wards.

An exploration of safe and efficient nucleus fragmentation strategies for femtosecond laser-assisted cataract surgery in short axial length patients.

Purepose: The intraoperative femtosecond laser time, Cumulative Dissipated Energy (CDE), Effective Phacoemulsification time (EPT), and intraoperative fluid perfusion volume were compared under different model fragmentation modes using Catalys femtosecond laser system.

Methods: This was a single-center, prospective, randomized controlled study. A total of 120 eyes who underwent femtosecond laser-assisted cataract phacoemulsification combined with intraocular lens implantation in Xiamen Eye Center affiliated to Xiamen University from September 2022 to March 2023 were randomly divided into 4 groups to undergo pre-nucleus splitting in different ways: Group 1: six-split, Group 2: eight-split, Group 3: six-split + gridded softening, and Group 4: eight-split + gridded softening.

Stomach and duodenal ulcer as a cause of death in patients with cancer: a cohort study.

Introduction: Non-cancer deaths are now becoming a significant threat to the health of cancer patients. Death from stomach and duodenal ulcer is linked to cancer due to the side effects of treatment and its pathogenesis. However, guidelines for identifying cancer patients at the highest risk of death from stomach and duodenal ulcer remain unclear.

Urban traffic accidents in Isfahan city: a study of prehospital response time intervals.

Introduction: Traffic accidents are a major public health concern worldwide, resulting in significant injuries, fatalities, and economic costs. In urban zones, traffic accident dynamics can vary significantly due to population density, infrastructure, and emergency response capabilities. The present study was conducted to determine the time intervals of prehospital emergencies in traffic accidents by separating the 15 zones of Isfahan city, Iran.

Testing the Dispersal-Origin-Status-Impact (DOSI) scheme to prioritise non-native and translocated species management.

Assessing actual and potential impacts of non-native species is necessary for prioritising their management. Traditional assessments often occur at the species level, potentially overlooking differences among populations. The recently developed Dispersal-Origin-Status-Impact (DOSI) assessment scheme addresses this by treating biological invasions as population-level phenomena, incorporating the complexities affecting populations of non-native species.

Ecological and anthropogenic effects on the genomic diversity of lemurs in Madagascar.

Ecological variation and anthropogenic landscape modification have had key roles in the diversification and extinction of mammals in Madagascar. Lemurs represent a radiation with more than 100 species, constituting roughly one-fifth of the primate order. Almost all species of lemurs are threatened with extinction, but little is known about their genetic diversity and demographic history.

Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance.

Microgrids (MGs) have gained significant attention over the past two decades due to their advantages in service reliability, easy integration of renewable energy sources, high efficiency, and enhanced power quality. In India, low-voltage side customers face significant challenges in terms of power supply continuity and voltage regulation. This paper presents a novel approach for optimal power scheduling in a microgrid, aiming to provide uninterrupted power supply with improved voltage regulation (VR).

A ganglioside-based immune checkpoint enables senescent cells to evade immunosurveillance during aging.

Although senescent cells can be eliminated by the immune system, they tend to accumulate with age in various tissues. Here we show that senescent cells can evade immune clearance by natural killer (NK) cells by upregulating the expression of the disialylated ganglioside GD3 at their surface. The increased level of GD3 expression on senescent cells that naturally occurs upon aging in liver, lung, kidney or bones leads to a strong suppression of NK-cell-mediated immunosurveillance.

Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data.

Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth.

Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models.

Air pollution monitoring and modeling are the most important focus of climate and environment decision-making organizations. The development of new methods for air quality prediction is one of the best strategies for understanding weather contamination. In this research, different air quality parameters were forecasted, including Carbon Monoxide (CO), Nitrogen Monoxide (NO), Nitrogen Dioxide (NO), Ozone (O), Sulphur Dioxide (SO), Fine Particles Matter (PM), Coarse Particles Matter (PM), and Ammonia (NH).

Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique.

In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined with droop control and virtual impedance techniques (VIT). The control strategy is developed to improve voltage control, power sharing and total harmonic distortion (THD) reduction in the MG systems with renewable and distributed generation (DG) sources. The VIT is used to decouple active and reactive power, reduce negative power interactions between DG's and improve the robustness of the system under varying load and generation conditions.

Comparative analysis of heavy metals toxicity in drinking water of selected industrial zones in Gujranwala, Pakistan.

Heavy metal contamination of drinking water, primarily driven by industrial activities, represents a critical challenge, with implications for human health and environmental safety. Gujranwala is an industrial and thickly populated city. The current study aimed to assess and compare heavy metal contamination levels in drinking water from five industrial areas and evaluate their potential impacts on human health.

Hybrid optimization for efficient 6G IoT traffic management and multi-routing strategy.

Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. Dynamic sensors deployed to mobile ad-hoc pieces of fire networking sensors adapt to ambient changes.

Hybridization of synergistic swarm and differential evolution with graph convolutional network for distributed denial of service detection and mitigation in IoT environment.

Enhanced technologies of the future are gradually improving the digital landscape. Internet of Things (IoT) technology is an advanced technique that is quickly increasing owing to the development of a network of organized online devices. In today's digital era, the IoT is considered one of the most robust technologies.

Structural changes in the retina and choroid in patients with different degrees of myopia.

To observe the structural changes of retina and choroid in patients with different degrees of myopia. We recruited 219 subjects with different degrees of myopia for best corrected visual acuity, computer refraction, intraocular pressure, axial length (AL), optical coherence tomography (OCT) imaging, and other examinations. Central macular retinal thickness (CRT), subfoveal choroidal thickness (SFCT), nasal retinal thickness (NRT), temporal retinal thickness (TRT), nasal choroidal thickness (NCT) and temporal choroidal thickness (TCT) were measured by optical coherence tomography.

LED light improves shoot multiplication, steviol glycosides and phenolic compounds biosynthesis in Stevia rebaudiana Bertoni in vitro culture.

Light-emitting diode (LED) lamps are efficient elicitors of secondary metabolites. To investigate the influence of LED light on steviol glycosides (SGs) and phenolic compounds biosynthesis, stevia shoots were cultured under the following LED lights: white-WL, blue-B, red-R, 70% red and 30% blue-RB, 50% UV, 35% red and 15% blue-RBUV, 50% green, 35% red and 15% blue-RBG, 50% yellow, 35% red and 15% blue-RBY, 50% far-red, 35% red and 15% blue-RBFR and white fluorescent light (WFl, control). RBG light stimulated shoots' biomass production.

A new gas lift allocation method in the IoT environment using a hybrid optimization algorithm.

In the realm of petroleum extraction, well productivity declines as reservoirs deplete, eventually reaching a point where continued extraction becomes economically unfeasible. To counteract this, artificial lift techniques are employed, with gas injection being a prevalent method. Ideally, unrestricted gas injection could maximize oil output.

Patient preferences for location of cancer surgery in a community cancer affiliate network.

Purpose: Cancer centers are increasingly affiliating with regional hospitals, creating hub-spoke models for care delivery. Patient perspectives on accessing surgical cancer care within these systems are not well understood. The study purpose was to understand patient perceptions of hub-spoke models of care delivery and how they influence decisions regarding where to seek surgical care for cancer.