Hybrid polysaccharide film infused with polyoxometalates for inkless printing and solar ultraviolet sensing.

Inkless paper made from photochromic materials has garnered significant interest owing to its potential to reduce both ink and paper pollution during production. In this research, we synthesized a dual-material film (EC-PVP/PGMEA/PMoA) and conducted a detailed investigation of its photochromic response to visible light and its microstructural properties. Initially, the film appeared as a translucent yellow, but upon exposure to visible light, it shifted to blue with a maximum absorption peak of 2.

The Effect of Adherence to a Tai Chi Intervention on Quality of Life of Older People Living With Dementia.

Background/objectives: Adherence to exercise programs is required to reap their established benefits and to sustain Quality of Life (QoL). This study explored People Living with Dementia's (PLWD) adherence to a Tai Chi exercise program and its effects on their QoL. The study included assessment of factors affecting adherence to a Tai Chi exercise intervention, causes of nonadherence, and effect of adherence on PLWD's QoL.

EEFSEC deficiency: A selenopathy with early-onset neurodegeneration.

Inborn errors of selenoprotein expression arise from deleterious variants in genes encoding selenoproteins or selenoprotein biosynthetic factors, some of which are associated with neurodegenerative disorders. This study shows that bi-allelic selenocysteine tRNA-specific eukaryotic elongation factor (EEFSEC) variants cause selenoprotein deficiency, leading to progressive neurodegeneration. EEFSEC deficiency, an autosomal recessive disorder, manifests with global developmental delay, progressive spasticity, ataxia, and seizures.

Deep eutectic solvent-based green extraction of Strychnos potatorum seed phenolics: Process optimization via response surface methodology and artificial neural network.

The current research focused on extraction optimization of bioactive compounds from Strychnos potatorum seeds (SPs) using an eco-friendly glycerol-sodium acetate based deep eutectic solvent (DES). The optimization was accomplished using response surface methodology (RSM) and artificial neural networking (ANN). The independent variables included shaking time (A), temperature (B), and solvent-to-feed ratio (C), and the responses were the extraction yield, total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity (DPPH), and antidiabetic activity (α-amylase inhibitory activity).

"Innovative multidisciplinary care in pediatric magnet aspiration: A case report".

Introduction: Foreign body (FB) inhalation is a potentially life-threatening condition in children. Magnets, being rare, aspirated objects, pose significant threat due to their physical and magnetic properties.

Case Presentation: A 10-year-old girl with a history of magnet aspiration went into respiratory distress due to dislodgement of magnet to opposite main bronchus following failed attempt of removal via Rigid Bronchoscopy.

Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.

Introduction: Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, trust, security, and ethical governance. The development of these challenges is important for promoting the responsible adoption of AI technologies into healthcare systems.

A novel fuzzy three-valued logic computational framework in machine learning for medicine dataset.

For consideration of uncertainties of a medicine dataset, a new conceptual architecture fuzzy three-valued logic is introduced in this research work. The proposed concept is applied to the heart disease dataset for the assessment of heart disease risk in individuals. By comparison of three binary (0,1) input variables, the variables' uncertainties and their collective impact can be analyzed that provide complete information leading to better outcome prediction.

Attention-guided CenterNet deep learning approach for lung cancer detection.

Lung cancer remains a significant health concern worldwide, prompting ongoing research efforts to enhance early detection and diagnosis. Prior studies have identified key challenges in existing approaches, including limitations in feature extraction, interpretability, and computational efficiency. In response, this study introduces a novel deep learning (DL) framework, termed the Improved CenterNet approach, tailored specifically for lung cancer detection.

Trends in Iatrogenic Error-Related Mortality in the US From 1999 to 2020: Age-Period-CohortAnalysis.

Introduction: There is a noticeable lack of information on iatrogenic error (IE)-related deaths in the United States. To address this, we conducted a retrospective analysis examining temporal, regional, urbanization, and age-related trends in IE-related mortality from 1999 to 2020.

Methods: Utilizing the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research database, we identified crude and age-adjusted mortality rates (AAMR) per 100,000 persons.

Modeling the environmental Kuznets Curve: A stochastic approach using economic and climate data.

This research chooses Pakistan as an ideal case to explore the connection between economic expansion and carbon emissions, by incorporating a novel approach of using coupled stochastic equations to estimate this dynamic interaction.The GDP (Gross domestic product) in Pakistan has been ascending over the time of 1960-2023, with short episodes of stagnation (mid 80s) and decline (1973, 2009). Since 2010, the growth rate has been rising annually, reaching 4.

Cinnamic acid lowers blood pressure and reverses vascular endothelial dysfunction in rats.

Cinnamic acid (CA) possesses important cardiovascular effects such as cardioprotective, antiatherogenic, antihyperlipidemic and antioxidant, which predicts its potential role in the treatment of hypertension. The study was executed to investigate the antihypertensive potential of CA in Sprague Dawley (SD) rats followed by evaluation in diverse vascular preparations. Invasive blood pressure monitoring technique was used in normotensive and hypertensive rats, under anesthesia.

Peptide-based vaccine design against Hendra virus through immunoinformatics approach.

The Hendra virus (HeV) has resulted in epidemics of respiratory and neurological illnesses in animals. Humans have contracted diseases with high fatality rates as a result of infected domestic animals, but effective vaccinations and therapies are currently not available against HeV. Herein, we analyzed the proteome of HeV and constructed an effective and innovative multi-epitope vaccine using immunoinformatics techniques.

Impacts of microplastic accumulation in aquatic environment: Physiological, eco-toxicological, immunological, and neurotoxic effects.

The presence of microplastics (MPs) in aquatic ecosystem has become a pressing global concern. MPs pose a significant threat to aquatic ecosystems, with devastating consequences for both aquatic life and human health. Notably, freshwater ecosystems are particularly vulnerable to MPs pollution.

Enhanced Light-Matter Interaction with Bloch Surface Wave Modulated Plasmonic Nanocavities.

Strong coupling between nanocavities and single excitons at room temperature is important for studying cavity quantum electrodynamics. However, the coupling strength is highly dependent on the spatial light-confinement ability of the cavity, the number of involved excitons, and the orientation of the electric field within the cavity. By constructing a hybrid cavity with a one-dimensional photonic crystal cavity and a plasmonic nanocavity, we effectively improve the quality factor, reduce the mode volume, and control the direction of the electric field using Bloch surface waves.

Noether and partial Noether approach for the nonlinear (3+1)-dimensional elastic wave equations.

The Lie group method is a powerful technique for obtaining analytical solutions for various nonlinear differential equations. This study aimed to explore the behavior of nonlinear elastic wave equations and their underlying physical properties using Lie group invariants. We derived eight-dimensional symmetry algebra for the (3+1)-dimensional nonlinear elastic wave equation, which was used to obtain the optimal system.

Automated CAD system for early detection and classification of pancreatic cancer using deep learning model.

Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.

Demographic, social and health system factors associated with maternal mortality in Pakistan: A nested case-control study.

Background: Pakistan has experienced a significant reduction in maternal mortality with a decline of 33 percent between 2006 and 2019. However, the country still grapples with a high number (186 per 100,000 live births) of maternal deaths each year. This study aims to identify socio-demographic and health system related factors associated with maternal mortality.

Molecular dynamics simulation based prediction of T-cell epitopes for the production of effector molecules for liver cancer immunotherapy.

Liver cancer is the sixth most frequent malignancy and the fourth major cause of deaths worldwide. The current treatments are only effective in early stages of cancer. To overcome the therapeutic challenges and exploration of immunotherapeutic options, broad spectral therapeutic vaccines could have significant impact.

Enhancing the productivity and resilience of rice () under environmental stress conditions using clustered regularly interspaced short palindromic repeats (CRISPR) technology.

Rice (Oryza sativa ) is a crucial staple crop worldwide, providing nutrition to more than half of the global population. Nonetheless, the sustainability of grain production is increasingly jeopardized by both biotic and abiotic stressors exacerbated by climate change, which increases the crop's rvulnerability to pests and diseases. Genome-editing by clustered regularly interspaced short palindromic repeats and CRISPR-associated Protein 9 (CRISPR-Cas9) presents a potential solution for enhancing rice productivity and resilience under climatic stress.

Eco-friendly Synthesis of Iron Oxide Nanoparticles Using Parietaria alsinifolia Extracts and Evaluation of Biological Applications.

The current research was conducted to synthesize Parietaria alsinifolia-mediated iron oxide nanoparticles (P.A@FeONPs) using the green and eco-friendly protocol. The biosynthesized P.

Investigating the Relationship Between Anti-seizure Medications and Bleeding Disorders: A Comprehensive Review of the Current Literature.

Anti-seizure medications (ASMs) are specific types of anticonvulsants used to treat epileptic seizures. However, several studies have shown an association between ASMs and an increased risk of hematological disorders, such as thrombocytopenia, aplastic anemia, and platelet function disorders leading to prolonged bleeding times. This review explores the existing literature on this topic, investigating a wide variety of ASMs, ranging from first-generation medications to newer ones.

Exploration of molecular interactions responsible for anti-inflammatory attributes of GI friendly micro-sized formulation of flurbiprofen and clove oil.

Clove oil obtained from Syzygium aromaticum (L.) is traditionally employed to treat inflammation associated with rheumatism, gastric disorders, and as an analgesic. Chemo-herbal combinations are known to have potent anti-inflammatory and analgesic effects, while mitigating the drug related side effects.

Particle size of wheat straw from genetically improved wheat affects the production performance and feeding behavior of Sahiwal cows.

The current study was designed to evaluate the effect of particle size (PS) and inclusion level of wheat straw (WS) obtained from genetically improved wheat on the performance and feeding behavior of Sahiwal cows. Twelve multiparous, mid-lactating Sahiwal cows (DIM 135 ± 25, mean ± SD; 12.8 ± 1.

Optimization of nonlinear properties of COLi-doped alkalides group I/III doping for unprecedented charge transfer and advancements in optoelectronics.

The design and synthesis of nonlinear optical (NLO) materials are rapidly growing fields in optoelectronics. Considering the high demand for newly designed materials with superior optoelectronic characteristics, we investigated the doping process of Group-IIIA elements (namely, B, Al and Ga) onto alkali metal (AM = Li, Na and K)-supported COLi (AM@COLi) complexes to enhance their NLO response. The AM-COLi complexes retained their structural features following interaction with the Group-IIIA elements.

Wheelchair users function and satisfaction with modified wheelchair and intermediate wheelchair services in Pakistan.

Wheelchair users with poor trunk control and postural abnormalities require additional posture support devices and wheelchair modifications to sit upright. Therefore, this study was conducted to observe the function of wheelchair users in the modified wheelchair and their satisfaction with both the modified wheelchair and intermediate wheelchair service. A descriptive study was conducted, and 14 participants were recruited through consecutive sampling.