Exploring the impact of membrane transporters in abiotic stress mitigation: Advances and applications in plant resilience.

Membrane transporters (MTs) are pivotal for maintaining cellular homeostasis and facilitating the movement of ions, water, and nutrients across cellular membranes, ensuring plant growth and development. These proteins are central in regulating the source-to-sink relationship, enabling efficient sugar and nutrient transport, and ensuring resilience against abiotic stresses such as salinity, drought, heat, cold, and heavy metal toxicity. Key transporters, including Na/H antiporters and K channels, maintain ionic balance by mediating ion compartmentalization and efflux critical for plant survival, improving nutrient use efficiency.

Polymeric Membranes for Liquid Separation: Innovations in Materials, Fabrication, and Industrial Applications.

Polymeric membranes have emerged as a versatile and efficient liquid separation technology, addressing the growing demand for sustainable, high-performance separation processes in various industrial sectors. This review offers an in-depth analysis of recent developments in polymeric membrane technology, focusing on materials' advancements, innovative fabrication methods, and strategies for improving performance. We discuss the underlying principles of membrane separation, selecting suitable polymers, and integrating novel materials, such as mixed-matrix and composite membranes, to enhance selectivity, permeability, and antifouling properties.

Investigation of Paracetamol Entrapped Nanoporous Silica Nanoparticles in Transdermal Drug Delivery System.

An effort was made to administer paracetamol drug through transdermal patch, as no such formulation of this drug has been developed yet. The primary cause for the lack of such formulations is paracetamol's poor aqueous solubility. As a result, the current research concentrated on preparing nanomedicines, or drug-loaded nanoparticles, for delivery via transdermal formulations.

Low back pain expert systems: Clinical resolution through probabilistic considerations and poset.

Objective: Proper diagnosis of Low Back Pain (LBP) is quite challenging in especially the developing countries like India. Though some developed countries prepared guidelines for evaluation of LBP with tests to detect psychological overlay, implementation of the recommendations becomes quite difficult in regular clinical practice, and different specialties of medicine offer different modes of management. Aiming at offering an expert-level diagnosis for the patients having LBP, this paper uses Artificial Intelligence (AI) to derive a clinically justified and highly sensitive LBP resolution technique.

Reliability and clinical utility of the chronic pain classification in the 11th Revision of the International Classification of Diseases from a global perspective: results from India, Cuba, and New Zealand.

Chronic pain affects 1 in 5 persons and contributes substantially to the global burden of disease. The 11th Revision of the International Classification of Diseases (ICD-11) includes a comprehensive classification of chronic pain. The aim of this ecological implementation field study was to evaluate the classification's interrater reliability and clinical utility in countries with different income levels.

Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network.

The paper focuses on the development of a reliable medical expert system for diagnosis of low back pain (LBP) by proposing an efficient frame-based knowledge representation scheme and a suitable resolution logic with conflicts in outcomes being resolved using Bayesian network. Considering that LBP is classified into many diseases based on different pain generators, the proposed methodology infers non-conflicting LBP diseases sorted according to their chances of occurrence. A satisfactory clinical efficacy (average relative error - 0.

Effectiveness of Combination of Ultrasonography-Guided Pulsed Radiofrequency Neuromodulation With Steroid at the Suprascapular Nerve in Chronic Shoulder Pain.

Background: Suprascapular nerve (SSN) block is a useful tool for pain control of different chronic shoulder pain syndromes. If the short-term effect of nerve block using local anesthetics is not sufficient, pulsed radiofrequency (PRF) neuromodulation of the SSN may provide long-term pain relief.

Aim Of Investigation: The aim of this study was to determine the effectiveness of ultrasonography-guided PRF of the SSN for management of chronic shoulder pain.

Prevalence of chronic pain, impact on daily life, and treatment practices in India.

Objective: Chronic pain is of concern to health professionals, patients, society, and negatively impacts quality of life (QoL). The present epidemiologic study identified point prevalence of chronic pain in India, impact on individual's QoL, unveiling current pain treatment practices, and levels of satisfaction with treatment.

Methods: This epidemiological telephonic survey consisted of two questionnaires: screening questionnaire that assessed prevalence of pain, its frequency during the past week, intensity during last episode, sites of pain, and main causes, and in-depth questionnaire that evaluated demography, frequency, duration, and intensity of pain; impact of pain on QoL; respondent's perception regarding the attitude of their family, friends, and doctors toward their pain.