Photothermally Active Quantum Dots in Cancer Imaging and Therapeutics: Nanotheranostics Perspective.

Cancer is becoming a global threat, as the cancerous cells manipulate themselves frequently, resulting in mutants and more abnormalities. Early-stage and real-time detection of cancer biomarkers can provide insight into designing cost-effective diagnostic and therapeutic modalities. Nanoparticle and quantum dot (QD)-based approaches have been recognized as clinically relevant methods to detect disease biomarkers at the molecular level.

Metal-free synthesis of N-fused quinazolino-quinazoline-diones as a RNA triple helix intercalator.

The development of chemical scaffolds that target highly conserved RNA received attention due to its significance in splicing, nuclear organization, and gene expression in disease progression pathways. Here, we synthesized a series of N-fused quinazolino-quinazoline-diones a PIDA-induced C-N coupling methodology to target . Interestingly, compound 2z binds to the UUG pocket of a RNA triple-helix through intercalation, evidenced from molecular docking studies, fluorescence-based assay and CD experiments.

Advances in Injectable Polymeric Biomaterials and Their Contemporary Medical Practices.

Injectable biomaterials have been engineered to operate within the human body, offering versatile solutions for minimally invasive therapies and meeting several stringent requirements such as biocompatibility, biodegradability, low viscosity for ease of injection, mechanical strength, rapid gelation postinjection, controlled release of therapeutic agents, hydrophobicity/hydrophilicity balance, stability under physiological conditions, and the ability to be sterilized. Their adaptability and performance in diverse clinical settings make them invaluable for modern medical treatments. This article reviews recent advancements in the design, synthesis, and characterization of injectable polymeric biomaterials, providing insights into their emerging applications.

Targeting Tumor Hypoxia with Nanoparticle-Based Therapies: Challenges, Opportunities, and Clinical Implications.

Hypoxia is a crucial factor in tumor biology, affecting various solid tumors to different extents. Its influence spans both early and advanced stages of cancer, altering cellular functions and promoting resistance to therapy. Hypoxia reduces the effectiveness of radiotherapy, chemotherapy, and immunotherapy, making it a target for improving therapeutic outcomes.

Sprayable inflammasome-inhibiting lipid nanorods in a polymeric scaffold for psoriasis therapy.

Localized delivery of inflammasome inhibitors in phagocytic macrophages could be promising for psoriasis treatment. The present work demonstrates the development of non-spherical lipid nanoparticles, mimicking pathogen-like shapes, consisting of an anti-inflammatory inflammasome inhibiting lipid (pyridoxine dipalmitate) as a trojan horse. The nanorods inhibit inflammasome by 3.

Bioefficacy, chromatographic profiling and drug-likeness analysis of flavonoids and terpenoids as potential inhibitors of H1N1 influenza viral proteins.

Considering medicinal plants, natural products present in these plants are the best sources of medications for combating viral infection. The possible drug target against viral H1N1 influenza proteins lead to identification of selected secondary metabolites from potential plants Tinospora cordifolia, Ocimum sanctum, and Piper nigrum. On analysis of in vitro cell based antiviral activity of the selected plant extracts, an indication for a possible lead compound against neuraminidase activity was evident.

Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare.

Background: With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, are pivotal in-patient care and offer valuable insights into the ethical implications of AI adoption.

Objectives: This study aimed to explore nurses' perspectives on privacy and ethical concerns associated with the implementation of AI in healthcare settings.

Statistical and machine learning models for location-specific crop yield prediction using weather indices.

Crop yield prediction gains growing importance for all stakeholders in agriculture. Since the growth and development of crops are fully connected with many weather factors, it is inevitable to incorporate meteorological information into yield prediction mechanism. The changes in climate-yield relationship are more pronounced at a local level than across relatively large regions.

Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care.

Background: With the ever-increasing integration of artificial intelligence (AI) into health care, it becomes imperative to gain an in-depth understanding of how health care professionals, specifically nurse practitioners, perceive and approach this transformative technology.

Objectives: This study aimed to gain insights into nurse practitioners' perceptions and attitudes toward AI adoption in health care.

Methods: This qualitative research employed a descriptive and phenomenological approach using in-depth interviews.

Varying the hydrophobic core composition of polymeric nanoparticles affects NLRP3 inflammasome activation.

Understanding the interactions of nanoparticle carriers with innate immune cells is crucial for informing the design and efficacy of future nano-immunotherapies. An intriguing aspect of their interaction with the immune system has recently emerged, , their ability to activate the NLRP3 inflammasome, a key component of the innate immune response. While the effect of the surface properties of nanoparticles has been extensively investigated in the context of nanoparticle-immune cell interactions, the influence of core composition remains largely unexplored, particularly regarding its impact on inflammasome activation.

Role of green and sustainable practices in shaping the future of medical imaging technology: A cross-sectional multi-stakeholder analysis among students, radiographers, and academic experts.

Introduction: The detection and treatment of diseases like COVID, diabetes, cancer, cardiovascular conditions, etc., have made medical imaging technology more necessary, so it is expected that the demands of imaging modalities are also increasing and are major contributors to carbon emissions in the healthcare industry. Hence, the Radiology departments, like the rest of the healthcare industry should adapt the procedures to become more sustainable.

Enhancing aromatic rice production through agronomic and nutritional management for improved yield and quality.

To meet the growing international demand for aromatic rice, this study, conducted at Uttar Banga Krishi Viswavidyalaya in Cooch Behar, West Bengal, aimed to enhance the yield and quality of the 'Tulaipanji' rice cultivar through advanced establishment methods and the use of organic nutrients over two years. The research tested three planting techniques: mechanical transplanting, wet direct seeding (using a drum seeder), and traditional methods, alongside four nutrient management strategies: vermicompost, farmyard manure, a mix of both, and conventional fertilizers. Findings revealed that mechanical transplanting significantly increased yield by over 31.

Alkalimonas mucilaginosa sp. nov. and Alkalimonas cellulosilytica sp. nov. isolated from alkaline Lonar lake, India.

Two alkaliphilic, Gram-stain-negative bacterial strains (MEB004 and MEB108) were isolated from water samples collected from Lonar lake, India. The phylogenetic analysis of their 16S rRNA gene sequences showed the highest similarity to A. delamerensis DSM 18314 (98.

Clinical effects of a yoga-based intervention for patients with schizophrenia - A six-month randomized controlled trial.

Background: Yoga has shown promise as an add-on therapy for patients with schizophrenia. However, most studies have been short-term, with methodological limitations.

Methods: We conducted a six-month parallel-group randomized-controlled trial (with rater blinding) to evaluate the effectiveness of a yoga-based intervention in improving symptoms and quality of life in patients with schizophrenia.

The long-term effects of childhood circumstances on older individuals: A systematic review.

Childhood experiences are known to shape individuals' development and can influence various aspects of life later on. Understanding the long-term effects is crucial for informing interventions and policies aimed at promoting healthy aging. This review aimed to explore the long-term effects of childhood experiences on older individuals.

Wastewater treatment using moving bed biofilm reactor technology: a case study of ceramic industry.

Biological approaches and coagulation are frequently used to reduce the chemical oxygen demand (COD) for treatment of ceramic effluent water. The technology known as the moving bed biofilm reactor (MBBR) can accomplish this goal. Further, the process of emulsification-aided innovative MBBR using biosurfactants can be proposed for ceramic effluent treatment.

Pole balancing on the fingertip: model-motivated machine learning forecasting of falls.

There is increasing interest in developing mathematical and computational models to forecast adverse events in physiological systems. Examples include falls, the onset of fatal cardiac arrhythmias, and adverse surgical outcomes. However, the dynamics of physiological systems are known to be exceedingly complex and perhaps even chaotic.

"I Wonder if my Years of Training and Expertise Will be Devalued by Machines": Concerns About the Replacement of Medical Professionals by Artificial Intelligence.

Background: The rapid integration of artificial intelligence (AI) into healthcare has raised concerns among healthcare professionals about the potential displacement of human medical professionals by AI technologies. However, the apprehensions and perspectives of healthcare workers regarding the potential substitution of them with AI are unknown.

Objective: This qualitative research aimed to investigate healthcare workers' concerns about artificial intelligence replacing medical professionals.

Optimizing crop planning in the winter fallow season using residual soil nutrients and irrigation water allocation in India.

Effective management of water resources is essential for crop diversification and food security. This study proposes an Irrigation-Food-Environment-Chance-constrained Programming (IFEC) model for simultaneously optimizing crop planting area, irrigation water, and residual fertilizer considering inflow uncertainty along with farmer preference crop. Eight irrigation water allocation optimal models were constructed, fixing the preference crop cultivation area, while deviations in downstream release, and vegetable crop area cultivation were executed for sensitivity analysis.

Association of Insulin-like Growth Factor-1 and Neurofilament Light Chain in Patients with Progressive Supranuclear Palsy.

Background: Progressive supranuclear palsy (PSP) is the most common primary tauopathy. The definite diagnosis of PSP is established by histopathologic changes in the brain. There are no reliable blood-based biomarkers to aid the diagnosis of this fatal disease at an early stage.

Long-term Add-on Yoga Therapy Modulates Oxidative Stress Pathway and Offers Clinical Benefits in Major Depressive Disorder: A Randomized Controlled Trial.

Background: Yoga therapy (YT) as an adjunct treatment has reportedly been demonstrated to offer clinical benefits in major depressive disorder (MDD). Although a few biological pathways are suggested to mediate the effects of yoga, the precise mechanistic basis remains unknown. Oxidative stress pathway activation has consistently been linked to the pathobiology of MDD.

Surface engineered nanohybrids in plasmonic photothermal therapy for cancer: Regulatory and translational challenges.

Plasmonic materials as non-invasive and selective treatment strategies are gaining increasing attention in the healthcare sector due to their remarkable optical and electronic properties, where the interface between matter and light becomes enhanced and highly localized. Some attractive applications of plasmonic materials in healthcare include drug delivery to target specific tissues or cells, hence reducing the side effects of the drug and improving their efficacy; enhancing the contrast and resolution in bioimaging; and selectively heating and destroying the cancerous cells while parting the healthy cells. Despite such advancements in photothermal therapy for cancer treatment, some limitations are still challenging.