Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data.

Gliomas are the most prevalent malignant primary brain tumors and present diagnostic challenges due to varying survival rates and treatment responses between low-grade gliomas (LGGs) and high-grade gliomas (HGGs). Accurate classification is crucial for effective treatment and prognosis. While classical AI methods have shown promise in glioma classification, the growing volume of medical data, inherent noise, and limitations of classical vector spaces present significant challenges.

A fuzzy-based model proposal for risk assessment prioritization using failure mode and effect analysis and numbers: a real case study in an automotive factory.

An integrated Failure Mode and Effect Analysis (FMEA) methodology combines the Delphi technique, Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Vlsekrerijumska Optimizacija I Kompromisno Resenje (VIKOR) methods, enhanced with Z numbers. The approach applies to a real case in a bus production line in Turkey to improve risk assessment in human-robot collaboration. DEMATEL identifies interdependencies among failure modes, while VIKOR enables effective risk prioritization.

Investigation of the factors affecting post-traumatic stress disorder in survivors of the 2023 Kahramanmaraş earthquakes.

Background: This study investigates the factors influencing post-traumatic stress disorder in the youth population seven months after the February 6, 2023, Kahramanmaraş earthquakes, which caused massive destruction in Türkiye and resulted in the loss of over 55,000 lives.

Objective: The effects of gender, damage levels of buildings, financial resources, participation in search and rescue operations, peritraumatic distress, perceived social support, and resilience are investigated for their impacts on post-traumatic stress disorder. The goal is to examine how these factors influence post-traumatic stress disorder not only on average but also across different levels of its distribution.

AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models.

The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning models in predicting key wastewater effluent parameters Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), Total Suspended Solids (TSS), Total Effluent Nitrogen and Total Effluent Phosphorus. Three feature selection techniques were applied: SelectKBest, Mutual Information, and Recursive Feature Elimination (RFE) using Random Forest to identify the most significant predictors.

Study of linear and nonlinear isotherm and kinetic parameters of hexavalent chromium adsorption onto reduced graphene oxide coated iron oxide.

The present research outlines a procedure for the treatment of municipal wastewater by utilizing reduced graphene oxide/FeO (rGO@FeO) magnetic nanocomposites to effectively remove hexavalent chromium through adsorption process. rGO@FeO nanocomposites were synthesized through a conventional procedure and applied for Cr (VI) removal from wastewater. The nanocomposites were characterized using techniques including Fourier Transform Infrared Spectroscopy, X-Ray Diffraction Analysis, Scanning Electron Microscopy, Brunauer-Emmett-Teller surface area analysis, and Raman spectroscopy.

2D and 3D in vitro photodynamic activities of tetra-substituted symmetric water-soluble cationic zinc(II) phthalocyanines on cancer.

In this study, the PDT activities of 2,9(10),16(17),23(24)-tetrakis(2-dimethylammoniumethoxy) phthalocyaninatozinc(II) tetraiodide (ZnPc1) and 1,8(11),15(18),22(25)-tetrakis(2-trimethylaminoethoxy)phthalocyaninatozinc(II)tetraiodide (ZnPc2) compounds were investigated in 2D monolayer cultures and 3D spheroids of three human cancer cell lines: human submaxillary salivary gland epidermoid carcinoma (A253), human colon colorectal adenocarcinoma (HT29), and human pharynx squamous carcinoma (FaDu) cells. The results indicate that both molecules are non-toxic in the absence of light, which is a crucial feature of an effective photosensitizer. Upon exposure to light, ZnPc1 exhibited significant cytotoxicity in all three cell lines, particularly in FaDu cells, in both 2D monolayer cultures and 3D spheroids, whereas ZnPc2 showed moderate efficacy compared to ZnPc1.

Understanding the Link between Environmental Identity, Eco-anxiety, Intolerance of Uncertainty and Mental Well-being.

Climate change is becoming a growing threat to the health of both the planet and people. As more people face ecological changes, more people experience challenging emotions such as anxiety about the future. In this study, a model of the relationship between environmental identity, intolerance of uncertainty and mental well-being was tested using structural equation modelling to determine the mediating role of eco-anxiety.

Determination of glucose impurities in glucose-salt complex pharmaceutical products by HPLC-RID method: Analytical method development and validation study.

Pharmaceutical products containing glucose and salt are widely used in the health sector and play a vital role. These pharmaceutical products are usually encountered as a part of drugs used in treatment and medical procedures. However, the analytical determination and quantification of active ingredients and impurities belonging to active ingredients in such products is a complicated process.

Development of BaSrTiO nanomaterial based dispersive solid phase microextraction method for cadmium determination in thyme samples using flame atomic absorption spectrometry.

This study presents an efficient and straightforward approach for the easy synthesis and innovative analytical application of an industrial nanomaterial of BaSrTiO (BST). Characterization techniques including XRD (X-ray Diffraction), FTIR (Fourier transform infrared spectroscopy), and SEM (scanning electron microscopy) were utilized for characterizing the synthesized nanomaterial. Subsequently, the incorporation of BaSrTiO nanomaterial-based DSPME (dispersive solid phase microextraction) and FAAS (flame atomic absorption spectrophotometry) was implemented for the preconcentration of Cd with enhanced precision and accuracy.

Unveiling knee morphology with SHAP: shaping personalized medicine through explainable AI.

Purpose: This study aims to enhance personalized medical assessments and the early detection of knee-related pathologies by examining the relationship between knee morphology and demographic factors such as age, gender, and body mass index. Additionally, gender-specific reference values for knee morphological features will be determined using explainable artificial intelligence (XAI).

Methods: A retrospective analysis was conducted on the MRI data of 500 healthy knees aged 20-40 years.

Recent advances in conducting tissue engineering based on conducting polymers.

Conductive tissue engineering has emerged as a revolutionary approach to addressing the limitations of traditional regenerative therapies by integrating electrical and mechanical properties into biomaterials. This field focuses on mimicking the natural microenvironment of excitable tissues, such as nerves, cardiac, and skeletal muscles, to enhance cellular functions and facilitate tissue repair. Conducting polymers (CP), including polypyrrole, polyaniline, and PEDOT, have been widely utilized for their exceptional electrical conductivity, biocompatibility, and tunable properties.

Unveiling degradation patterns in dye-sensitized solar cells: a machine learning perspective.

This study examines the time-dependent degradation of dye-sensitized solar cells (DSSCs) by systematically investigating several critical parameters, including TiO thickness, porosity, dye concentration, and iodine-based electrolyte concentration. We developed a novel figure of merit (FOM) to quantify the degradation rates, utilizing a finite element model (FEM) in COMSOL to simulate performance over time. 400 DSSC samples were fabricated, resulting in a comprehensive dataset comprising over 228,000 data points derived from experimental results and simulations.

An Early Stage Electrochemical Evaluation of Ovarian Cancer: α-MnO Nanorod and AuNP Hybrid Nanoarchitectures.

Ovarian cancer (OC), a predominant contributor to fatalities among gynecologic cancers, necessitates early detection for effective treatment. The inadequate sensitivity of current diagnostic methods urged us to develop a label-free electrochemical biosensor for the timely diagnosis of OC. This biosensor utilizes α-MnO nanorods (α-MnONRs) decorated with gold nanoparticles (AuNPs) to enhance conductivity and sensitivity.

The mediating role of cognitive emotion regulation skills in the relationship between romantic relationship satisfaction and eating attitudes.

Background: Romantic relationship satisfaction has been linked to psychological outcomes, including emotional well-being and eating behaviors. However, the mechanisms underlying this relationship remain unclear. This study examines the mediating role of cognitive emotion regulation strategies-particularly catastrophizing-in the relationship between romantic relationship satisfaction and eating attitudes.

Determination of arsenic species in seafood samples using a combination of HPLC and ICP-MS after ultrasonic assisted sample preparation.

In this study, an analytical method was applied for the separation and determination of inorganic and organic arsenic species (As, As, AsB, MMA) in anchovy, haddock, mussels and prawns using HPLC coupled with ICP-MS. Efficient separation of the arsenic species on the HPLC-ICP-MS system was achieved using 50 mM (NH)CO at pH 9.50 diluted in 1 % methanol and 0.

In-vitro and In-silico evaluation of the inhibitory effects of Persea americana leaf extract against calcium oxalate stones.

This study investigated the effects of Persea americana extract (PAE) as a potential inhibitor of calcium oxalate monohydrate growth using both in-vitro and in-silico methods with spontaneous crystallization to evaluate its effectiveness in preventing kidney stones. X-ray diffraction was used to characterize the morphology of calcium oxalate (CaOx) crystals, while scanning electron microscopy (SEM) was used to determine their particle size and crystal formation patterns. SwissADME (Absorption, Distribution, Metabolism, Excretion) computational analysis predicted the biological activity of the extract.

Thyroid Hormone Dynamics and DIO2 Variants in Schizophrenia: Exploring Genetic Links to Neuroendocrine Imbalance.

Thyroid hormone modulates multiple neurotransmitter systems, including dopaminergic, serotonergic, glutamatergic and GABAergic pathways, which are implicated in schizophrenia (SCH) pathophysiology. The Type II deiodinase (DIO2) enzyme plays a critical role in thyroid metabolism, converting thyroxine (T4) into the biologically active triiodothyronine (T3). This study aimed to investigate the potential association between DIO2 gene polymorphisms, Thr92Ala and ORFa-Gly3Asp, with serum levels of free triiodothyronine (fT3), free thyroxine (fT4) and thyroid-stimulating hormone (TSH) in SCH susceptibility and symptomatology.

A Review of Medical Oxygen Concentrators for Respiratory Applications.

Medical oxygen concentrators are vital apparatuses that deliver supplemental oxygen to persons with hypoxemia. This narrative review provides a review of oxygen concentrators, outlining their operational mechanisms, classification, evaluation criteria, market accessibility, advantages, disadvantages, and prospective developments. Critical insights encompass the dominance of pressure swing adsorption technology in oxygen separation, the increasing demand for portable and energy-efficient models, and the promise of smart technologies and new materials to improve oxygen therapy.

Antioxidant Activity of Different Phenolic-Rich Fractions Obtained From Peels of Turkish Dark Purple Eggplant.

This study investigated the extraction of phenolic compounds and the antioxidant potential of eggplant peel using various extraction methods and GRAS solvent systems. Ethanol absolute and (EtOH: water) (70:30) system solvents were used separately to extract phenolic compounds, while the (EtOH: water: citric acid) (70:30:0.5) system was utilized for anthocyanin extraction.

Synthesis, characterization, In vitro and In silico investigations of novel 1,2,3-triazole substituted salicylic acid phenolic hydrazones hybrids targeting TGF-β2 expression in colorectal carcinoma.

In this study, sixteen novel 1,2,3-triazole-substituted salicylic acid phenolic-hydrazone hybrids were synthesized and characterized using NMR, IR, HRMS, and HPLC techniques. The compounds were evaluated for their anticancer potential against HCT-116, Caco-2 and HT-29 colorectal carcinoma cells and normal BEAS-2B epithelial cells. Among them, compound 10k exhibited potent antiproliferative effects on HCT-116, Caco-2 and HT-29 with IC values of 6.

Friendship relationships, psychological well-being, and social problem solving in primary school students.

During the primary school years, friendships between children gradually begin to strengthen. During this process, establishing and maintaining friendships are closely related to children's psychological well-being (PWB). However, the development of this relationship can be better understood through the mediating role of social problem-solving (SPS) skills.

Nanoparticle-Embedded GelMA/NIPAm Hydrogels: A Temperature-Responsive Hybrid System for Controlled Drug Release.

Temperature-responsive hydrogels incorporating drug-loaded polymeric nanoparticles represent a significant advancement in controlled release systems, enabling responsive and environmentally triggered drug delivery. In this study, a novel temperature-responsive drug delivery system was developed based on a gelatin methacryloyl/N-isopropylacrylamide (GelMA/NIPAm) hydrogel incorporating phenytoin (PHT)-loaded poly(D,L-lactide-co-glycolide) (PLGA) nanoparticles. For this, empty nanoparticles, PHT-loaded nanoparticles, bare hydrogels (BH), empty nanoparticle-loaded hydrogels (eNP-H), and PHT-encapsulated nanoparticle-embedded hydrogels (PHT-H) were prepared and characterized using FTIR, SEM, DSC, XRD, DLS, swelling, drug release, and biocompatibility tests.

Anti-cancer efficacy of novel lonidamine derivatives: Design, synthesis, in vitro, in vivo, and computational studies targeting hexokinase-2.

Targeting cancer metabolism has emerged as an attractive therapeutic strategy in recent years, despite the "Warburg effect" phenomenon is discovered about a century ago. Based on this phenomenon, cancer cells rely on aerobic glycolysis and require higher rate of glucose consumption compared to normal cells and the hexokinase-2 (HK-2) enzyme catalyzes the first step of glucose metabolism. Consistent with the notion, HK-2 expression is highly elevated in most malignancies and that predicts poor survival in patients.

I Can't Sleep! Death Distress, Self-Control, Bedtime Procrastination, and Substance Misuse.

Substance misuse stands as a critical challenge globally, leading to severe repercussions for individuals and society alike, and placing considerable pressure on public healthcare systems and economic stability. This research delves into the predictive relationships between death distress, self-control, bedtime procrastination, and substance misuse. Engaging a diverse cohort of 479 individuals, including those who consume cigarettes and alcohol, aged between 18 and 71 years (Mean = 34.