Anticancer effects of folic acid-functionalized covalent organic framework containing doxorubicin on SW480 colon cancer cells: a promising tool for drug targeted delivery.

Colorectal cancer is one of the deadliest forms of gastrointestinal cancer, with conventional treatments often facing significant limitations. As a result, new approaches, particularly in targeted drug delivery, have shown great promise. In this study, the COF-FA@DOX nanocarrier was developed, where covalent organic frameworks (COFs) were functionalized with folic acid (FA) and then loaded with Doxorubicin (DOX).

Magnetic targeting enhances nanostructured covalent organic framework-doxorubicin cellular uptake in triple-negative breast cancer: A model for receptor-deficient cancers.

Covalent organic frameworks (COFs) are promising nanocarriers for enhancing anticancer drug efficacy. To deliver doxorubicin (DOX) to receptor-deficient cancers - using triple-negative breast cancer (TNBC) as the paradigmatic example, we developed a magnetically guided COF-based nanostructure called COF@DOX@FeO. FeO nanoparticles (NPs) were used to functionalize the nanostructure after DOX was loaded into COF NPs (loading capacity: 24.

Altered effective connectivity in cortico-striatal pathways during sentence processing and oral motors in Parkinson's disease.

Previous studies have demonstrated that sentence processing can be impaired in individuals with Parkinson's disease (PD). However, it remains unclear whether the neural mechanisms underlying language impairments in PD are like the motor symptoms and related to dysfunction observed in cortico-striatal pathways. On the other hand, traumatic brain injury (TBI) is recognized as a significant non-genetic risk factor for developing PD later in life.

A hybrid quantitative approach for assessment of geotechnical hazards in rock tunnels using finite element and variation coefficient methods.

Due to the uncertainty ​​of geomechanical parameters, it is necessary to investigate the risks arising from geotechnical hazards in tunnel design from a statistical perspective. In this study, a hybrid quantitative approach incorporating uncertainty in geomechanical parameters, the finite element method (FEM), and the variation coefficient method (VCM) was employed to investigate geotechnical hazards in the Alborz tunnel. At first, by considering five statistical intervals [µ, µ + 0.

Investigating the correlation of self-care and quality-of-life patients with heart failure.

Background: Heart Failure adversely affects the patients' quality-of-life. Quality-of-life in patients with heart failure is related to their self-care and other factors. This study aimed to investigate the correlation of quality-of-life and self-care among patients with heart failure and to determine their associated factors.

Sulfonic acid grafted on silica-shell silver nanoparticles as a novel catalyst for the preparation of pyrimido[4,5-]quinolines.

In this research, Ag@SiO nanoparticles were prepared by a sol-gel method (a wet chemical method) at room temperature. The nanoparticles were functionalized by chlorosulfonic acid to introduce acidic sites on the surface to obtain sulfonic acid grafted on silica-coated silver nanoparticles (Ag@SiO-SOH). Ag@SiO-SOH was identified and characterized by FT-IR, DLS, ZP, FE-SEM, EDX-mapping, TEM, XRD, BET, BJH and TGA analyses.

Preparation and identification of new magnetic heterogeneous nanostructural palladium catalyst, and its catalytic study in Suzuki and Stille reactions.

This study designed and synthesized a new magnetic Palladium-containing nanocatalyst supported on ZnFeO (zinc ferrite magnetic nanoparticles). TGA, TEM, FT-IR, EDS, XRD, BET, VSM, X-ray mapping, ICP-OES, and SEM techniques are used to analyze the structure and magnetic properties of this nanomagnetic material. The synthesized heterogeneous catalyst (ZnFeO@SiO@CPTMS@PYA-Pd) revealed remarkable properties, including high thermal and chemical stability, low toxicity, and efficient reusability.

Pomegranate peel as an ecofriendly reductant for efficient recovery of cathode materials from spent lithium-ion batteries through organic acid leaching.

Nowadays, the recycling of valuable metals from spent lithium-ion batteries (LIB) using hydrometallurgical processes is on the rise. Therefore, using safer leaching media for the dissolution process and the use of environmentally friendly chemicals are essential. In this research, a feasibility study of the recovery of valuable metals, including lithium, cobalt, manganese, and nickel, from the cathode of spent LIB in organic acid using pomegranate peel (PP) as a green reductant was evaluated.

Unlocking The Potential of Hybrid Models for Prognostic Biomarker Discovery in Oral Cancer Survival Analysis: A Retrospective Cohort Study.

Objective: This study aimed to develop a hybrid model for variable selection in high-dimensional survival analysis using a support vector regression (SVR), to identify prognostic biomarkers associated with survival in oral cancer (OC) patients through the analysis of gene expression data.

Materials And Methods: In this retrospective cohort study, gene expression profiles (54,613 probes) related to 97 patients from the GSE41613 dataset from the GEO repository were used. First of all, martingale residuals were obtained using a Cox regression without covariates, and were used as pseudo-survival outcome.

Spatio-temporal independent component classification for localization of seizure onset zone.

Localization of the epileptic seizure onset zone (SOZ) as a step in presurgical planning leads to higher efficiency in surgical and stimulation treatments. However, the clinical localization procedure is a difficult, long procedure with increasing challenges in patients with complex epileptic foci. The interictal methods have been proposed to assist in presurgical planning with simpler procedures for data acquisition and higher speeds.

Synthesis of 4-pyrimido[2,1-]benzimidazoles catalyzed by a Schiff base cobalt(ii) complex supported on cobalt ferrite magnetite nanoparticles.

Nano-[CoFeO@SiO/propyl-1-(-vanillinaldimine)][CoCl] was designed and reported with the Schiff base cobalt(ii) complex anchored onto cobalt ferrite magnetite nanoparticles. The resulting nanomagnetite Schiff base cobalt(ii) complex was employed as a recoverable catalyst for the condensation reaction of aryl aldehyde, 2-aminobenzimidazole and ethyl acetoacetate at 90 °C to synthesize 4-pyrimido[2,1-]benzimidazoles under solvent-free condition. According to the proposed mechanism, the cobalt complex can accelerate the reaction a structural rearrangement from a tetrahedral to a square planar geometry.

Designing tunable carbon nanotube-based nanomechanical biosensor for SARS-CoV-2 detection: A stochastic finite element analysis.

Background: COVID-19 is a novel infection in humans that is triggered by a virus called SARS-CoV-2, which affects the respiratory system severely. The transmission rate and mortality of COVID-19 can be reduced by early diagnosis. COVID-19 is confirmed by PCR-based tests, which are the standard method, but biosensing platform for SARS-CoV-2 detection also have an essential role in diagnosing COVID-19 and are widely used.

Automated quality control of small animal MR neuroimaging data.

Magnetic resonance imaging (MRI) is a valuable tool for studying brain structure and function in animal and clinical studies. With the growth of public MRI repositories, access to data has finally become easier. However, filtering large datasets for potential poor-quality outliers can be a challenge.

Language and Memory Network Alterations in Temporal Lobe Epilepsy: A Functional and Structural Connectivity Study.

Background And Purpose: This study evaluated preoperative alterations and postoperative reorganization of the joint language-memory network (LMN) from the perspective of resting-state functional and structural connectivity in temporal lobe epilepsy (TLE). Graph theory and machine learning approaches were used to explore automatic lateralization.

Materials And Methods: Resting-state fMRI and DTI data were obtained from 20 healthy subjects and 35 patients with TLE.

Understanding road accident injury dynamics in Iran: a growth mixture modelling perspective.

Objectives: Road traffic injuries represent a significant public health concern globally. In Iran, road accidents have become a leading cause of death and disability, necessitating urgent attention to injury prevention strategies. This study aims to analyse the trends in injuries resulting from road accidents over a decade.

Electrochemical insights into the direct dissolution of impure sphalerites and their partial oxidation in an acidic environment.

This study examined the electrodissolution mechanism of five impure sphalerite samples, which differ significantly in purity levels, along with their partially oxidized counterparts in a 0.5 M HSO. Partially oxidized samples were prepared through an incomplete leaching of sphalerite using HSO with Fe(SO).

Determinants of physical activity among female students based on the transtheoretical model.

This study investigates factors influencing physical activity based on the Transtheoretical model (TTM) among adolescents. This study was conducted on 745 individuals between the ages of 12 and 16 years and was analyzed using a generalized linear model (GLM) approach with appropriate link functions using both classical and Bayesian frameworks. The results show that in model 1, the probit link function is a more appropriate approach to determine the risk factors for physical activity.

Applying the PROMETHEE II, WASPAS, and CoCoSo models for assessment of geotechnical hazards in TBM tunneling.

Mechanized tunneling in harsh environments faces many hazards, which can stop tunneling operations for a long time. Due to the high investment volume in tunneling projects, it is imperative to predict and assess the geotechnical hazards. This research has tried to evaluate and introduce the most dangerous section of the Kerman water conveyance tunnel (KWCT) using multi-index decision-making techniques including PROMETHEE II, WASPAS, and CoCoSo models.

Spectral peak analysis and intrinsic neural timescales as markers for the state of consciousness.

Resting state EEG in patients with disorders of consciousness (DOC) is characterized by an increase of power in the delta frequency band and a concurrent decrease in the alpha range, equivalent to a weakening or disappearance of the alpha peak. Prolongation of Intrinsic Neural Timescales (INTs) is also associated with DOCs. Together, this raises the question whether the decreased alpha peak relates to the prolonged INTs and, importantly, how that can be used for diagnosing the state of consciousness in DOC individuals.

The Role of Gut Microbiota Modification in Nonalcoholic Fatty Liver Disease Treatment Strategies.

One of the most common chronic liver diseases is nonalcoholic fatty liver disease (NAFLD), which affects many people around the world. Gut microbiota (GM) dysbiosis seems to be an influential factor in the pathophysiology of NAFLD because changes in GM lead to fundamental changes in host metabolism. Therefore, the study of the effect of dysbiosis on the pathogenicity of NAFLD is important.

Exploring nonlinear correlations among transition metal nanocluster properties using deep learning: a comparative analysis with LOO-CV method and cosine similarity.

A novel approach is introduced for the rapid and accurate correlation analysis of nonlinear properties in Transition Metal (TM) clusters utilizing the Deep Leave-One-Out Cross-Validation technique. This investigation demonstrates that the Deep Neural Network (DNN)-based approach offers a more efficient predictive method for various properties of fourth-row TM nanoclusters compared to conventional Density Functional Theory methods, which are computationally intensive and time-consuming. The feature space, also known as descriptors, is established based on a broad spectrum of electronic and physical characteristics.

How the designed processing parameters affect the liquid mixture density and viscosity of the tretinoin-loaded niosomes at different temperatures?

The current study was conducted to present novel thermophysical data on tretinoin-loaded niosomes paired with a combination of span 60 and tween 80. Measurements were carried out to analyze the liquid mixture density and viscosity of the mentioned multilayered structures for the first time, with consideration given to the diverse molecular weights of surfactants and various stabilizers at different temperatures. Through the application of equations of state, this study has the ability to set the stage for thermodynamic modeling of solutions that involve niosomes, presenting a promising avenue for further research.

Unveiling the Effects of Interval Resistance Training and Chlorella Vulgaris Supplementation on Meteorin-like Protein and Oxidative Stress in Obese Men.

Background: Dysregulation of adipocyte function occurs in obesity. Meteorin-like protein (Metrnl) is a newly discovered modulator of inflammation, metabolism, and differentiation of human adipocytes. The dietary supplement Chlorella Vulgaris (CV) reduces hyperlipidemia, hyperglycemia, and oxidative stress in clinical trials.

2D discrete element analysis of the footing above excavated circle in soil.

The bearing capacity and settlements of surface foundations located on a soil slope are the important issues that have to be considered by geotechnical engineers for the design. The presence of an underground void beneath the footing can affect the foundation stability and can lead to serious structure damages. In this study, the results of two-dimensional (2D) discrete element (DE) and finite element (FE) analyses of a surface footing on a soil slope above a void are presented.

The impact of brain functional connectivity on skill and physical performance in soccer players: A resting state fMRI study.

Objective: Identifying connections between various aspects of physical performance, motor skills, and cognitive abilities with the brain connectivity networks is essential for determining important brain regions associated with soccer performance. This study aimed to carry out the relationship between soccer-specific parameters and resting-state functional connectivity in soccer players.

Materials And Methods: Twenty-five soccer players (Vo2max; 50.