879,722 results match your criteria: "India; CSIR-Network Institutes for Solar Energy (NISE)[Affiliation]"

Globally, more than 100 countries have adopted net-zero targets. Most studies agree on how this increases the chance of keeping end-of-century global warming below 2°C. However, they typically make assumptions about net-zero targets that do not capture uncertainties related to gas coverage, sector coverage, sinks, and removals.

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Prevalence of chronic kidney disease and anemia in Hirakud Command Area, Odisha, India: unveiling the role of environmental toxicants.

J Nephrol

January 2025

Laboratory of Renal Toxicopathology & Medicine, P.G. Department of Environmental Sciences, Sambalpur University, Burla, Odisha, 768019, India.

Background: The present community-based study assessed the prevalence of chronic kidney disease (CKD)/chronic kidney disease of unknown origin (CKDu) as well as anemia in some intense agricultural zones under Hirakud Command Area and evaluated their association with pesticides and heavy metal exposure.

Methods: Random cluster sampling method was used to assess the prevalence of CKD and anemia. Hematological analysis was carried out using autoanalyzer.

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MicroRNAs (miRNAs) and transfer RNA-derived stress-induced RNAs (tiRNAs) have emerged as crucial players in the post-transcriptional regulation of gene expression in various cellular processes, including immunity and host defense against infections. In recent years, increasing evidence has highlighted their complex role in influencing the host response during viral and bacterial infections. miRNAs have been shown to play multiple roles in host-pathogen interaction like TLR activation and altered disease virulence during bacterial infections.

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Young Adults with Type 1 Diabetes' Clinical Outcomes and Satisfaction Related to the Use of Videoconferencing for Type 1 Diabetes Healthcare: A Narrative Review.

Diabetes Ther

January 2025

Departamento de Endocrinología y Metabolismo, Unidad de Investigación en Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición, Salvador Zubirán, Mexico City, Mexico.

Introduction: Young adulthood is well documented as being a particularly challenging area of type 1 diabetes (T1D) healthcare. Many young adults with T1D (YAT1D) are distracted from effective disease self-management; T1D healthcare service engagement can be problematic and inconsistent, and high rates of unplanned healthcare contacts prevail. Video conferencing use can facilitate services to be flexible and responsive.

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Among all photosynthetic life forms, cyanobacteria exclusively possess a water-soluble, light-sensitive carotenoprotein complex known as orange carotenoid proteins (OCPs), crucial for their photoprotective mechanisms. These protein complexes exhibit both structural and functional modularity, with distinct C-terminal (CTD) and N-terminal domains (NTD) serving as light-responsive sensor and effector regions, respectively. The majority of cyanobacterial genomes contain genes for OCP homologs and related proteins, highlighting their essential role in survival of the organism over time.

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Objectives: To describe the clinical profile and compare the long-term outcomes of patients with S-PAN treated with various treatment regimens at our centre in the last 2 decades.

Methods: Data regarding clinical presentation, treatment allocation, relapses and outcomes of patients fulfilling American College of Rheumatology (ACR) 1990 criteria for PAN in the last 2 decades were recorded from electronic medical records. Relapse-free survival and predictors were analysed using KM survival statistics and regression analysis.

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Rice salt tolerance is highly anticipated to meet global demand in response to decreasing farmland and soil salinization. Therefore, dissecting the genetic loci controlling salt tolerance in rice for improving productivity is of utmost importance. Here, we evaluated six salt-tolerance-related traits of a biparental mapping population comprising 280 F2 rice individuals (Oryza sativa L.

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The future of lactoferrin: A closer look at LipoDuo technology.

J Liposome Res

January 2025

Samarth Biorigins LLP, KIADB Industrial Area, Tumkur, India.

Background: Lactoferrin (Lf), a multifunctional glycoprotein known for its roles in immune modulation, iron metabolism, and antimicrobial activity, has limited therapeutic efficacy due to poor bioavailability. Liposomal encapsulation of lactoferrin (LLf) offers a potential solution by improving its stability, absorption, and sustained release, making it a promising candidate for various clinical applications. This study aims to compare the effectiveness of LLf and plain Lf in cellular uptake, proliferation, and wound healing using HEK-293T and Caco-2 cell lines.

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Verona-integron-metallo-β-lactamase (VIM-2) is one of the most widespread class B β-lactamase responsible for β-lactam resistance. Although active-site residues help in metal binding, the residues nearing the active-site possess functional importance. Here, to decipher the role of such residues in the activity and stability of VIM-2, the residues E146, D182, N210, S207, and D213 were selected through in-silico analyses and substituted with alanine using site-directed mutagenesis.

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Chromogenic bacterial staining of teeth: a scoping review.

BMC Oral Health

January 2025

Basic Medical and Dental Sciences Department, College of Dentistry, Ajman University, Ajman, UAE.

Article Synopsis
  • This scoping review aims to investigate the causes, clinical traits, and treatment methods for chromogenic staining of teeth, following the PRISMA 2022 guidelines.
  • A systematic search across multiple medical databases led to the identification of 989 articles, with 21 ultimately included for analysis, highlighting that chromogenic bacteria can cause staining in 3.1 to 18.5% of cases, primarily resulting in black discoloration.
  • The findings indicate a lack of comprehensive literature on this topic, emphasizing the need for further research into effective management strategies for these challenging stains linked to specific oral bacteria.
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Background: Since the inception of the ASHAs in the year 2005, their work horizons have increased from Reproductive, Maternal, Newborn, Child, and Adolescent health (RMNCH + A), Communicable and Non-Communicable Diseases (CD & NCD) to oral health, ophthalmologic care, and other supportive community level healthcare services. The present literature lacks comprehensive understanding and synthesis of domain-wise knowledge of ASHAs and the factors affecting their knowledge. Therefore, this study aimed to synthesize and collate the relevant evidence to understand the overall knowledge of ASHAs.

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Introduction: Existing evidence suggests a lower uptake of cervical cancer screening among Indian women. Coverage is lower in rural than urban women, but such disparities are less explored. So, the present study was conducted to explore the self-reported coverage of cervical cancer screening in urban and rural areas stratified by socio-demographic characteristics, determine the spatial patterns and identify any regional variations, ascertain the factors contributing to urban-rural disparities and those influencing the likelihood of screening among women aged 30-49 years factors residing in urban, rural, and overall Indian settings.

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Carbapenem resistant Acinetobacter baumannii has evolved as the most troublesome microorganism with multiple virulence factors. Biofilm formation, porins, micronutrient capturing mechanism and quorum sensing, provide protection against desiccation, host-pathogen killing and enhance its persistence. The conservation of these factors between colonizing and pathogenic carbapenem resistant A.

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Nickel complexes are a potential candidate for antibacterial and antifungal activity. A new Ni (II) complex, bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato)nickel (II) (2), was synthesised by reacting, bis(3-methoxy-salicylaldehyde)nickel (II) (1) with isobutylamine. It was characterised by single crystal X-ray diffraction (ScXRD), UV-Vis, NMR, IR, mass spectrometry, and thermogravimetry (TG) to study its structure and physico-chemical properties.

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Article Synopsis
  • Glucose sensing is essential for managing diabetes, and this study explores NbCT-selenium nanoparticles for effective nonenzymatic glucose detection.
  • The composite material was characterized using techniques like scanning and transmission electron microscopy, and it was tested on a gold disc electrode in an alkaline solution.
  • The sensor operates at a low overpotential of 0.16 V, demonstrating a detection range of 2 to 30 mM, with a notable sensitivity of 4.15 µA mM cm and a detection limit of 1.1 mM.
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The effective prevention of many infectious and non-infectious diseases relies on people concurrently adopting multiple prevention behaviors. Individual characteristics, opinion leaders, and social networks have been found to explain why people take up specific prevention behaviors. However, it remains challenging to understand how these factors shape multiple interdependent behaviors.

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Predicting the coefficient of volume compressibility (m) would help a field engineer to make a quick estimate of the soil compressibility. The multiple correlations suggested by various researchers as available in the literature indicate the importance of predicting the m of soil. The existing correlations as available in literature either use soil state (in the form of SPT N-value or unconfined compressive strength or natural water content) or soil type (in the form of plasticity properties).

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Article Synopsis
  • The increasing use of connected devices in smart homes has heightened security risks, particularly from Man-in-the-Middle (MitM) attacks, which can go undetected.
  • Traditional security methods struggle to manage these complex threats, highlighting the need for more advanced intrusion detection systems.
  • The AEXB Model, a hybrid deep learning approach combining AutoEncoder for feature extraction and XGBoost for classification, achieves 97.24% accuracy in detecting MitM attacks, while also enabling real-time threat responses and continuous protection.
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The preparation of new phosphor with outstanding luminescent properties for white light-emitting diodes (WLEDs) is consistently a challenging. Here in the present study, A novel white-emitting chloropatite phosphor Ca(PO)Cl:Eu was synthesized via the pechini sol gel synthesis with citric acid and polyethylene glycol (PEG) acid as a fuel at 850 °C systematically investigating the impact of doping concentration and synthesis temperature on both photoluminescence properties and crystal phase. The structural characteristics and crystalline nature of the prepared sample were investigated by using X-ray diffraction (XRD) patterns and Fourier transform infrared (FT-IR) spectra.

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  • Lithium-ion batteries are crucial for the electric vehicle (EV) industry due to their high energy density, low discharge rate, and long lifespan, making accurate State of Charge (SOC) estimation important for performance improvement.
  • The proposed method combines the Thevenin 2RC battery model to capture the battery's non-linear dynamics with the Unscented Kalman Bucy Filter (UKBF) to enhance SOC estimation by dealing with measurement noise and nonlinearities.
  • A simulation in Matlab Simulink reveals that the UKBF outperforms other estimation methods like EKF and UKF, achieving a notably lower Root Mean Square Error (RMSE) of 0.003276 for SOC estimation.
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Secure IoT data dissemination with blockchain and transfer learning techniques.

Sci Rep

January 2025

Torrens University Australia, Fortitude Valley, QLD 4006, Leaders Institute, 76 Park Road, Woolloongabba, QLD 4102, Brisbane, Queensland, Australia.

Article Synopsis
  • Streaming IoT data is crucial for building trust in sustainable IoT solutions, but current systems often face issues with reliability, security, and transparency due to their centralized structures.
  • The research introduces TraVel, a framework that uses blockchain and transfer learning to improve the security of IoT data management, utilizing decentralized IPFS for data storage and a private Ethereum blockchain for enhanced data integrity.
  • TraVel implements self-executing smart contracts for access control and uses an adversarial domain adaptation model to filter out malicious data, ensuring only validated data is stored, with successful performance shown in simulations.
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Photocatalytic production and biological activity of D-arabino-1,4-lactone from D-fructose.

Sci Rep

January 2025

Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-0012, Japan.

Lactones play crucial roles in various fields, such as pharmaceuticals, food, and materials science, due to their unique structures and diverse biological activities. However, certain lactones are difficult to obtain in large quantities from natural sources, necessitating their synthesis to study their properties and potential. In this study, we investigated the photocatalytic conversion of D-fructose, a biomass-derived and naturally abundant sugar, using a TiO photocatalyst under light irradiation in ambient conditions.

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Chronic stress disrupts gut microbiota homeostasis, contributing to anxiety and depression. This study explored the effects of Limosilactobacillus reuteri fermented brown rice (FBR) on anxiety using an ICR mouse chronic mild stress (CMS) model. Anxiety was assessed through body weight, corticosterone levels, neurotransmitter profiles, and behavioral tests.

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An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia.

ISA Trans

January 2025

Department of Electronics and Telecommunication, C. V. Raman Global University, Bhubaneswar 752054, Odisha, India. Electronic address:

Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession.

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