D-glucose-conjugated thioureas containing 2-aminopyrimidine as potential multitarget inhibitors for type 2 diabetes mellitus: Synthesis and biological activity study.

α-d-Glucose-conjugated thioureas 8a-w of substituted 4,6-diaryl-2-aminopyrimindines were designed, synthesized, and screened for their antidiabetic inhibitory activity. The thioureas with the strongest potential inhibitory activity included 8f (IC = 11.32 ± 0.

Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.

- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.

HgutMgene-Miner: In silico genome mining tool for deciphering the drug-metabolizing potential of human gut microbiome.

The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.

Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.

The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.

Leveraging molecular dynamics, physicochemical, and structural analysis to explore OMP33-36 protein as a drug target in Acinetobacter baumannii: An approach against nosocomial infection.

The Acinetobacter baumannii is a member of the "ESKAPE" bacteria responsible for many serious multidrug-resistant (MDR) illnesses. This bacteria swiftly adapts to environmental cues leading to the emergence of multidrug-resistant variants, particularly in hospital/medical settings. In this work, we have demonstrated the outer membrane protein 33-36 (Omp33-36) porin as a potential therapeutic target in A.

Computational insights into the redox properties and electronic structures of [Tc=O] complexes: Implications for Tc-radiopharmaceuticals.

Technetium-99m plays a pivotal role in nuclear medicine, offering unique IMAGING capabilities due to its favorable physical and chemical properties. This study investigates the redox behavior and electronic structures of three representative Tc(V) oxo complexes, [TcO(HMPAO)], [TcO(Bicisate)], and [TcO(DMSA)], using computational techniques. Employing relativistic density functional theory with the Zero-Order Regular Approximation (ZORA), we analyze singlet-triplet energy gaps, Gibbs free energy changes, and redox potentials in neutral and acidic environments.

'It is scary to pause treatment': perspectives on HIV cure-related research and analytical treatment interruptions from women diagnosed during acute HIV in Durban, South Africa.

Background: HIV remains a major challenge in KwaZulu-Natal, South Africa, particularly for young women who face disproportionate risks and barriers to prevention and treatment. Most HIV cure trials, however, occur in high-income countries.

Objective: To examine the perspectives of young women diagnosed with acute HIV in a longitudinal study, focusing on their perceptions on ATI-inclusive HIV cure trials and the barriers and facilitators to participation.

Light and dark biofilm adaptation impacts larval settlement in diverse coral species.

Background: Recovery of degraded coral reefs is reliant upon the recruitment of coral larvae, yet the mechanisms behind coral larval settlement are not well understood, especially for non-acroporid species. Biofilms associated with reef substrates, such as coral rubble or crustose coralline algae, can induce coral larval settlement; however, the specific biochemical cues and the microorganisms that produce them remain largely unknown. Here, we assessed larval settlement responses in five non-acroporid broadcast-spawning coral species in the families Merulinidae, Lobophyllidae and Poritidae to biofilms developed in aquaria for either one or two months under light and dark treatments.

Temporary ectopic banking as a treatment option for mangled thumb: a case report.

Background: Management of the extensive soft tissue injuries remains a significant challenge in orthopedic and plastic reconstructive surgery. Since the thumb is responsible for 40% of the functions of the hand, saving and reconstructing a mangled thumb is essential for the patient's future.

Case Presentation: This case report describes the management of a severe occupational thumb injury in a 25-year-old white Persian male who sustained an occupational injury to his left thumb, resulting in extensive burn, crush injury to the distal and proximal phalanx, and severe soft tissue damage to the first metacarpal, thenar, and palmar areas.

Lay views in Southern France of the acceptability of refusing to provide treatment because of alleged futility.

Aim: To carry out a detailed study of existing positions in the French public of the acceptability of refusing treatment because of alleged futility, and to try to link these to people's age, gender, and religious practice.

Method: 248 lay participants living in southern France were presented with 16 brief vignettes depicting a cancer patient at the end of life who asks his doctor to administer a new cancer treatment he has heard about. Considering that this treatment is futile in the patient's case, the doctor refuses to prescribe it.

Syndemic, mental health and living with dependent persons in Latin America and Spain: a study with a gender perspective.

Objective: To analyze the sociostructural determinants associated with mental health problems during the lockdown period among populations residing in Brazil, Chile, Ecuador, Mexico, Peru, and Spain who lived with minors or dependents, approached from a gender perspective.

Methods: A cross-sectional study was conducted in six participating countries via an adapted, self-managed online survey. People living with minors and/or dependents were selected.

Depression symptom severity and behavioral impairment in school-going adolescents in Uganda.

Background: During adolescence, a critical developmental phase, cognitive, psychological, and social states interact with the environment to influence behaviors like decision-making and social interactions. Depressive symptoms are more prevalent in adolescents than in other age groups which may affect socio-emotional and behavioral development including academic achievement. Here, we determined the association between depression symptom severity and behavioral impairment among adolescents enrolled in secondary schools of Eastern and Central Uganda.

The association between Chlamydia pneumoniae infection and prognosis in lung cancer patients: a prospective study.

Background: The prognostic value of Chlamydia pneumoniae (Cpn) infection in postoperative lung cancer patients remains unclear. This study aimed to evaluate the association between Cpn infection and survival in lung cancer patients.

Methods: This study included 309 newly diagnosed primary lung cancer patients from three hospitals in Fuzhou, China.

Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses' perspectives.

Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.

Bibliometric analysis of global research trends in vestibular neuritis (1980-2024).

Purpose: Vestibular neuritis (VN) is a common cause of vertigo with significant impact on patients' quality of life. This study aimed to analyze global research trends in VN using bibliometric methods to identify key themes, influential authors, institutions, and countries contributing to the field.

Methods: We conducted a comprehensive search of the Web of Science Core Collection database for publications related to VN from 1980 to 2024.

Foliar application of nano biochar solution elevates tomato productivity by counteracting the effect of salt stress insights into morphological physiological and biochemical indices.

Nano-biochar considers a versatile and valuable sorbent to enhance plant productivity by improving soil environment and emerged as a novel solution for environmental remediation and sustainable agriculture in modern era. In this study, roles of foliar applied nanobiochar colloidal solution (NBS) on salt stressed tomato plants were investigated. For this purpose, NBS was applied (0%, 1% 3% and 5%) on two groups of plants (control 0 mM and salt stress 60 mM).

Identification of the conditions and minimum requirements necessary for the release of autologous fresh CAR T-cell products under hospital exemption: a position paper from the WP-bioproduction of the UNITC consortium.

The accessibility of CAR-T cells in centralized production models faces significant challenges, primarily stemming from logistical complexities and prohibitive costs. However, European Regulation EC No. 1394/2007 introduced a pivotal provision known as the hospital exemption.

Controlling the energies of the single-rotor large wind turbine system using a new controller.

In wind energy generation systems, ensuring high energy quality is critical but is often compromised due to the limited performance and durability of conventional regulators. To address this, this work presents a novel controller for managing the machine-side inverter of a single-rotor large wind turbine system using an induction machine-type generator. The proposed controller is designed using proportional, integral, and derivative error-based mechanisms, which fundamentally differ from traditional proportional-integral (PI) regulators.

Plant root carbon inputs drive methane production in tropical peatlands.

Tropical peatlands are carbon-dense ecosystems that are significant sources of atmospheric methane (CH). Recent work has demonstrated the importance of trees as an emission pathway for CH from the peat to the atmosphere. However, there remain questions over the processes of CH production in these systems and how they relate to substrate supply.

Efficient diagnosis of diabetes mellitus using an improved ensemble method.

Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.

Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.

The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.

Poor fixation stability does not account for motion perception deficits in amblyopia.

People with amblyopia show deficits in global motion perception, especially at slow speeds. These observers are also known to have unstable fixation when viewing stationary fixation targets, relative to healthy controls. It is possible that poor fixation stability during motion viewing interferes with the fidelity of the input to motion-sensitive neurons in visual cortex.

A National Synthetic Populations Dataset for the United States.

Geospatially explicit and statistically accurate person and household data allow researchers to study community-and neighborhood-level effects and design and test hypotheses that would otherwise not be possible without the generation of synthetic data. In this article, we demonstrate the workflow for generating spatially explicit household- and individual-level synthetic populations for the United States representing the year 2019. We use publicly available U.

Fluid flow impacts endothelial-monocyte interactions in a model of vascular inflammatory fibrosis.

The aberrant vascular response associated with tendon injury results in circulating immune cell infiltration and a chronic inflammatory feedback loop leading to poor healing outcomes. Studying this dysregulated tendon repair response in human pathophysiology has been historically challenging due to the reliance on animal models. To address this, our group developed the human tendon-on-a-chip (hToC) to model cellular interactions in the injured tendon microenvironment; however, this model lacked the key element of physiological flow in the vascular compartment.

Liquid-based encapsulation for implantable bioelectronics across broad pH environments.

Wearable and implantable bioelectronics that can interface for extended periods with highly mobile organs and tissues across a broad pH range would be useful for various applications in basic biomedical research and clinical medicine. The encapsulation of these systems, however, presents a major challenge, as such devices require superior barrier performance against water and ion penetration in challenging pH environments while also maintaining flexibility and stretchability to match the physical properties of the surrounding tissue. Current encapsulation materials are often limited to near-neutral pH conditions, restricting their application range.