Maharishi Markandeshwar University, Solan (MMU Solan) is a private university located in the village Laddo near Kumarhatti, in Solan district, Himachal Pradesh, India. The university was established in 2010 by the Maharishi Markandeshwar University Trust (MMUT) through the Maharishi Markandeshwar University (Establishment & Regulation) Act, 2010. Other institutes under MMUT include Maharishi Markandeshwar University, Mullana and Maharishi Markandeshwar University, Sadopur.
With the rapid rise in global population and technological progress, energy consumption is increasing at an unprecedented rate, making the selection of reliable and sustainable energy sources essential. Solar energy, among various renewable options, stands out as a viable and widely accessible solution to address long-term energy challenges. However, selecting the most suitable solar energy generation system involves complex, multi-criteria decision-making under uncertainty. To address this, the study utilizes intuitionistic fuzzy (IF) sets, which extend classical fuzzy sets by incorporating membership, non-membership, and hesitation degrees. A modified Combined Compromise Solution (CoCoSo) method is proposed within the IF environment to evaluate and rank solar systems effectively. This includes a novel IF similarity measure, validated through numerical examples for pattern recognition. Additionally, new parameter-based weighted averaging and geometric aggregation operators are introduced to improve IF information aggregation. A new score function enhances the consistency of IF number ranking, while a double normalization-based integration function further improves ranking accuracy. The effectiveness and applicability of the proposed method are demonstrated through a solar energy system selection case study, supported by sensitivity and comparative analyses, confirming the method's robustness, stability, and practical utility in real-world decision-making contexts.
Herein, the manuscript presents the development of a new Schiff base probe (L) derived from pyridine-2,6-dicarbohydrazide and 2,4-dihydroxybenzaldehyde. The study reveals that L was used as chromogenic and fluorogenic with Cu2+ and Th4+ ions in DMSO: H2O (7:3, v/v) media using absorption and emission spectroscopic techniques. The non-fluorescent nature of L changes to cyan color fluorescence with Th4+, and upon excitation of the L + Th4+ complex at 340 nm, an emission band was observed at 485 nm with the Stokes shift of 145 nm (8793 cm-1). However, the Cu2+ ions, the probe showed a further quenching phenomenon, the best performance of probe L at the 4.5 to 8.5 pH range, with a sensitivity of 9.87 nM, and its dynamic nature was confirmed by EDTA as a co-ligand. The ESI mass analysis, 1H NMR, and computational calculations have been used to study the interaction of L with Th4+ ions. The Job's plot with a binding stoichiometry of 2:1 between Th4+ and L, with an association constant (Ka) of 3.99 x 104 M-2. The performance of the probe L was successfully used to quantify Th4+ contents in monazite sand, lantern mantel, and different field water samples. Furthermore, L was successfully applied for Th4+ imaging in the intercellular space of Zebrafish DrGcell lines and newborn Zebrafish embryos using an optical fluorescence microscope.
In this study, chitosan (CS)-mediated biopolymeric films were prepared via the solvent casting and solvent evaporation method along with the incorporation of Rhododendron arboreum flower extracts (RAFEs), glycerol and tween 80. In addition to the RAFEs, with and without cetrimide (as crosslinker) incorporated chitosan films were also prepared for comparative analysis of properties. Films of CS/glycerol/tween80 (CGT), CS/glycerol/tween80/cetrimide (CGTC), CS/glycerol/tween80/RAFEs (CGTR), and CS/glycerol/tween80/cetrimide/RAFEs (CGTCR) were prepared. The influence of film components on the prepared film's physical, structural, and antioxidant properties was analyzed using various specific characterization techniques, including FTIR spectroscopy, XRD, TGA and UV-Visible spectrophotometer based analysis. The overall experimental observations of this study inferred that RAFEs incorporation has excellent potential to develop biodegradable and antioxidant CS films for packaging applications.
AimImbalances in the elderly can increase the fall risk. This study compared two independent pre-post intervention groups involving Semi-Immersive Virtual Reality (VR) training and Functional Electrical Stimulation (FES), each combined with static cycling, in older adults.MethodsA total of 232 participants (aged 55-75 years) were allocated to Group 1 (VR, n = 118) or Group 2 (FES, n = 114), receiving 20-minute sessions, five times a week, for four weeks. Outcomes were assessed using the Timed Up and Go (TUG) test, Falls Efficacy Scale (FE_Scale), and Lower Quarter Y Balance Test (LQYBT).ResultWithin-group analysis showed significant improvements in all measures (p = 0.001). However, no statistically significant differences were observed between the groups (TUG, p = 0.13; FE_Scale, p = 0.66; LQYBT-LT, p = 0.98; LQYBT-RT, p = 0.70).ConclusionWhile the FES group showed greater numerical improvements, the differences between the groups were not statistically significant. Both interventions appear beneficial in improving dynamic balance in older adults.Clinical trial registrationCTRI/2023/06/053399.
Background: Clinical spectrum of acute neurological disorders in children encompasses central nervous system (CNS) infections, stroke, intracranial space-occupying lesions, pseudotumor cerebri, and spinal cord disease. Presentations include altered consciousness, focal neurological deficits, fever and persistent vomiting. Neuroimaging frequently shows overlapping features, Objectives: To delineate the spectrum of acute neurological disorders in children and evaluate their correlation with imaging findings. Method: A prospective cross-sectional study was conducted over one-year among children aged 1 month to <18 years presenting with acute neurological conditions (<4 weeks duration). Cases with a prior diagnosis of cerebral palsy, seizure disorder, or febrile seizures were excluded. All participants underwent detailed clinical assessment, relevant laboratory investigations, and neuroimaging as indicated. Data were summarized as range, mean ± SD, frequencies, and relative frequencies. Categorical variables were compared using chi-square test, with a p-value <0.05 considered statistically significant. Statistical analysis was performed using SPSS version 21.0. Results: Of the 72 children included, 43 (59.7%) were male. The most commonly affected age group was 1–5 years (25%). CNS infections constituted 43%, intracranial space-occupying lesions (23.6%), stroke (11.1%), demyelinating disorders (8.3%), and neurometabolic disorders or intracranial hemorrhage (6.9%). Neuroimaging abnormalities were detected in 69.5% of patients, with clinical–radiological concordance observed in 50%.Conclusions: Acute neurological conditions demonstrated a prevalence of 1.7%, with the majority occurring in children under five years of age. Neuroimaging proved pivotal in early detection, characterization of disease processes, and assessment of potential complications.
