Assessment of meteorological factors and air pollution impact on cardiovascular mortality using random forest analysis 2017 to 2020.

Air pollution, a global health hazard, significantly impacts mortality, cardiovascular health, mental well-being, and overall human health. This study aimed to investigate the impact of air pollution and meteorological factors on cardiovascular mortality rates in Mashhad City, northeastern Iran in 2017-2020. We utilized a Random Forest (RF) model in this study.

DANI: fast diffusion aware network inference with preserving topological structure property.

Numerous algorithms have been proposed to infer the underlying structure of the social networks via observed information propagation. The previously proposed algorithms concentrate on inferring accurate links and neglect preserving the essential topological properties of the underlying social networks. In this paper, we propose a novel method called DANI to infer the underlying network while preserving its structural properties.

An Ensemble Deep Learning Approach for EEG-Based Emotion Recognition Using Multi-Class CSP.

In recent years, significant advancements have been made in the field of brain-computer interfaces (BCIs), particularly in the area of emotion recognition using EEG signals. The majority of earlier research in this field has missed the spatial-temporal characteristics of EEG signals, which are critical for accurate emotion recognition. In this study, a novel approach is presented for classifying emotions into three categories, positive, negative, and neutral, using a custom-collected dataset.

Therapeutic Utility of Mulligan Traction Straight Leg Raise Stretch and Proprioceptive Exercises in Osteoarthritis Treatment.

Background Given the increasing incidence and severity of knee osteoarthritis (OA), it is crucial to investigate and refine therapeutic approaches. Aim The objective of this study is to evaluate the effectiveness and potential synergistic effects of proprioceptive exercises combined with Mulligan traction straight leg raise (MT-SLR) in treating OA. This includes improving symptoms such as functional mobility, pain reduction, and relevant serological markers, highlighting the potential of this approach to enhance overall patient outcomes.

Spatial optimization of industrial symbiosis for heat supply of agricultural greenhouses.

Despite the many benefits of greenhouses, it is challenging to meet their heating demand, as greenhouses belong to the most energy-intensive production systems in the agriculture sector. Industrial symbiosis can bring an effective solution by utilizing waste heat from other industries to meet the greenhouse heat demand. This study proposes an optimization framework by which optimum symbiotic relationships can be identified.

Lower extremity joint kinematics in individuals with and without bilateral knee osteoarthritis during normal and narrow-base walking: A cross-sectional study.

Background: Knee osteoarthritis (KOA) is a prevalent musculoskeletal disease affecting joint mechanics. Considering the effect of step-width changes on the biomechanics of gait, especially the alteration of stability dynamics during narrow-base gait, this study investigated the kinematic parameters of the lower extremities during both normal and narrow-base walking in individuals with and without KOA.

Methods: A cross-sectional study with 20 individuals with bilateral KOA and 20 controls was conducted.

Is it truly impossible to strengthen the vastus medialis in isolation from the entire quadriceps muscle group?

Background: To date, no specific exercises have been designed to selectively strengthen the vastus medialis muscle. Therefore, the purpose of this research is to provide a clear answer to the question: Is it truly impossible to strengthen the vastus medialis independently of the entire quadriceps muscle group? Methods: Thirty-three females with lateral patellar compression syndrome were randomly divided into 2 groups: one focused on selective strengthening of the vastus medialis (n = 16) and the other on general strengthening of the quadriceps (n = 17). The intervention lasted 8 weeks.

Water Oxidation in the Presence of Iron-Doped Copper (Hydr)Oxide.

This study explores the influence of Fe ion incorporation on the oxygen-evolution reaction (OER) in alkaline media, utilizing CuO-based materials. Instead of developing an efficient and stable OER catalyst, this research investigates two distinct CuO variants: one with Fe ions adhered to the surface and another with Fe ions integrated into the CuO lattice. By employing a variety of analytical techniques, the study demonstrates that the CuO variant with surface-bound Fe ions (referred to as compound 1) exhibits significantly enhanced OER performance compared to the variant with internally embedded Fe ions (referred to as compound 2).

Morphology-dependent nanoplasmonic assay: a powerful signaling platform for multiplexed total antioxidant capacity analysis.

Assessing the total antioxidant capacity (TAC) in biological samples, such as saliva, is essential for health monitoring and disease prevention. TAC plays a critical role in protecting cells from damage caused by free radicals and oxidative stress, which are associated with various conditions, including cancer, cardiovascular diseases, and aging. Key antioxidants, including ascorbic acid (AA), cysteine (CYS), glutathione (GSH), and uric acid (UA), significantly contribute to this protective effect, with salivary levels of these antioxidants reflecting their concentrations in the bloodstream.

Superabsorbent Capped Truncated Silica Microcone Arrays: Fabrication and Extended Laplace Pressure and Gibbs Free Energy Study.

The ability of a surface to completely absorb a liquid droplet is an important property that can be controlled by geometrical structure and chemical composition of the surface. Here, using Laplace pressure and Gibbs free energy (GFE) considerations, a capped truncated microcone array geometry is proposed to obtain a near zero degree for contact angle (θ) of a water droplet. Our results showed that two essential conditions must be met to achieve a superabsorbent surface.

Glycerate-assisted CoMn-sulfide with microsphere architecture confined by nanoparticles as an efficient enzyme-free sensor for amperometric measurement of glucose in serum, saliva and beverage samples.

The preparation of binary metal chalcogenides with ideal architectures can effectively enhance the electrocatalytic properties of these materials, as promising glucose sensors. Herein, CoMn-S spheres were synthesized using CoMn-glycerate as the precursor, followed by a sulfidation reaction. First, glycerate spheres were prepared by solvothermal treatment of Co and Mn ions in isopropanol solvent mixed with glycerol.

scVAG: Unified single-cell clustering via variational-autoencoder integration with Graph Attention Autoencoder.

Single-cell RNA sequencing (scRNA-seq) enables high-resolution transcriptional profiling of cell heterogeneity. However, analyzing this noisy, high-dimensional matrix remains challenging. We present scVAG, an integrated deep learning framework combining Variational-Autoencoder (VAE) and Graph Attention Autoencoder (GATE) for enhanced single-cell clustering.

Janus Films Wound Dressing Comprising Electrospun Gelatin/PCL Nanofibers and Gelatin/Honey/Curcumin Thawed Layer.

A promising approach for wound treatment is using multilayer wound dressings that offer multifunctional properties. In this study, a bilayered electrospun/hydrogel gelatin-based scaffold integrated with honey and curcumin was developed to treat wounds under an in vivo study. The first layer consisted of an enzymatic cross-linked gelatin hydrogel containing honey and curcumin, which gelatin/PCL nanofibers reinforced.

Principal Component Analysis and Near-Infrared Spectroscopy as Noninvasive Blood Glucose Assay Methods.

In this paper, a new model is presented for estimation of the blood glucose level from the measured near-infrared absorbance. The model has been developed in such a way that the regression coefficients of this linear relation have been approximated by considering only the molar absorptivity of the glucose and the obtained coefficients have been utilized to estimate the blood glucose levels from the measured absorbances. The estimation of the blood glucose concentrations by this blind approach exhibited an acceptable accuracy in comparison to the more accurate principal components regression method.

Bimodal UVM-7-based periodic mesoporous organosilica containing benzimidazole for thin film microextraction of triazole fungicides in fruiting vegetables prior to gas chromatography-mass spectrometry.

Background: Periodic mesoporous organosilicas (PMOs) are a new class of organic-inorganic hybrid materials with high surface area, narrow pore size distribution, high functional group loading, and tunable functional groups. In contrast to other porous organosilicate materials, PMOs show a uniform distribution of organic groups inside their framework walls. They are synthesized by condensing bis-silylated organic precursors around a surfactant template.

Evaluation of design parameters on the outcome of intrastromal ring surgery using biomechanical simulations.

Background: The cornea plays a role in the refractive power of the eye, and when its natural curvature and thickness are compromised by diseases such as keratoconus or high myopia, this results in loss of visual acuity. Intracorneal rings (ICRs) were developed as a treatment option to restore the natural corneal curvature by implanting rings into tunnels cut within the corneal stroma. However, selecting and placing the appropriate ring can be difficult, and predicting refractive outcomes is challenging.

Synthesis and characterization of metal dithiocarbamate derivatives of (S)-1-phenyl-1,2,3,4-tetrahydroisoquinoline.

Five metal dithiocarbamate complexes [M(PTHIQDTC)] [where PTHIQDTC is (S)-1-phenyl-1,2,3,4-tetrahydroisoquinoline dithiocarbamate anion and M is Ni(II) (1), Sn(II) (2), Hg(II) (3), Pb(II) (4) and Zn(II) (5)] were synthesized from the reaction of MX (X is Cl for 1-3 and OAc for 4-5) with ligand of triethylammonium (S)-1-phenyl-1,2,3,4-tetrahydroisoquinoline dithiocarbamate [EtNH][PTHIQDTC] in methanolic solution at room temperature. The five complexes were characterized by IR, H andC NMR, mass spectrometry, elemental analysis and TGA analysis. Recrystallization of [Zn(PTHIQDTC)] (5) in dimethylsulfoxide (DMSO) converts 5 to [Zn(PTHIQDTC)(DMSO)] (6).

The impact of mechanical tuning on the printability of decellularized amniotic membrane bioinks for cell-laden bioprinting of soft tissue constructs.

Decellularized extracellular matrix (dECM) bioinks hold significant potential in the 3D bioprinting of tissue-engineered constructs (TECs). While 3D bioprinting allows for the creation of custom-designed TECs, the development of bioinks based solely on dAM, without the inclusion of supporting agents or chemical modifications, remains underexplored. In this study, we present the concentration-dependent printability and rheological properties of dAM bioinks, along with an analysis of their in vitro cellular responses.

How Machine Learning and Gas Chromatography-Ion Mobility Spectrometry Form an Optimal Team for Benchtop Volatilomics.

This invited feature article discusses the potential of gas chromatography-ion mobility spectrometry (GC-IMS) as a point-of-need alternative for volatilomics. Furthermore, the capabilities and versatility of machine learning (ML) (chemometric) techniques used in the framework of GC-IMS analysis are also discussed. Modern ML techniques allow for addressing advanced GC-IMS challenges to meet the demands of modern chromatographic research.

On Angles in Higher Order Brillouin Tessellations and Related Tilings in the Plane.

For a locally finite set in , the order- Brillouin tessellations form an infinite sequence of convex face-to-face tilings of the plane. If the set is coarsely dense and generic, then the corresponding infinite sequences of minimum and maximum angles are both monotonic in . As an example, a stationary Poisson point process in is locally finite, coarsely dense, and generic with probability one.

Experimental assessment of using phase change materials in vapor compression refrigeration systems for condenser pre-cooling.

The primary objective of this investigation is to empirically assess a new vapor compression cycle while employing phase change material (PCM) energy storage. During off-peak periods, the PCM undergoes charging, and during on-peak hours, it is discharged to cool the refrigerant entering the condenser, thereby enhancing the condenser's overall performance. In contrast to previous studies that exclusively examined the charging or discharging processes of air conditioning (AC) units, this research delves into the entire 24-h charge and discharge cycle.

3D Pt@ZnAl-LDH catalyst on low-grade charcoal: A novel electrochemical platform for efficient textile dye degradation and glycerol oxidation.

The development of sustainable and efficient electrochemical processes is crucial for addressing global challenges related to water scarcity. In this study, we present a novel 3D core-shell electrocatalyst, Pt@ZnAl-LDH, supported on low-grade charcoal (LGC), which exhibits exceptional electrocatalytic activity for the degradation and decolorization of dye and the electrocatalytic conversion of glycerol to valuable C chemicals. The electrocatalytic degradation of methylene blue dye from water was investigated with a focus on the impact of temperature, pH, and dye concentration.