Publications by authors named "Haldar D"

The conventional food packaging is creating a significant cause of environmental hazards, posing challenges in disposal and recycling. Lignocellulose fibers possess remarkable biodegradable properties and can be modified or blended with other polymers. Thus, using lignocellulose biocomposite films derived from barley, a renewable source can mitigate and potentially transform into sustainable, innovative packaging material in the food sectors.

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  • Pediatric low-grade gliomas (pLGGs) show varying treatment responses and poor outcomes when complete tumor removal isn't possible, making early treatment prediction important.
  • A radiogenomic analysis combining MRI and RNA sequencing reveals three immune clusters in pLGGs, with one cluster having higher immune activity but worse prognosis, suggesting they might benefit from immunotherapy.
  • A developed radiomic signature accurately predicts these immune profiles and progression-free survival, identifying high-risk patients for potential targeted therapies.
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Metal-organic gels (MOGs) are a type of supramolecular complex that have become highly intriguing due to their synergistic combination of inorganic and organic elements. We report the synthesis and characterization of a Ni-directed supramolecular gel using chiral amino acid L-DOPA (3,4-dihydroxy phenylalanine) containing ligand, which coordinates with Ni(II) to form metal-organic gels with exceptional properties. The functional Ni(II)-gel was synthesized by heating nickel(II) acetate hexahydrate and the L-DOPA containing ligand in DMSO at 70 °C.

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The selection and optimization of carbon and nitrogen sources are essential for enhancing pullulan production in Aureobasidium pullulans. In this study, combinations of carbon (sucrose, fructose, glucose) and nitrogen sources ((NH)SO, urea, NaNO) were screened, where sucrose and NaNO offered the highest pullulan yield (9.33 g L).

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The substantial build-up of non-biodegradable plastic waste from packaging sector not only poses severe environmental threats but also hastens the depletion of natural petroleum-based resources. Presently, poly (3-hydroxybutyrate-co-3-hydroxy valerate) (PHBV), received enormous attention as ideal alternatives for such traditional petroleum-derived plastics based on their biocompatibility and superior mechanical properties. However, high cost of such copolymer, due to expensive nature of feedstock, inefficient microbial processes and unfavorable downstream processing strategies restricts its large-scale commercial feasibility in the packaging sector.

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In an era marked by growing global population and climate variability, ensuring food security has become a paramount concern. Rice, being a staple crop for billions of people, requires accurate and timely yield prediction to ensure global food security. This study was undertaken across two rice crop seasons in the Udham Singh Nagar district of Uttarakhand state to predict rice yield at 45, 60 and 90 days after transplanting (DAT) through machine learning (ML) models, utilizing a combination of optical and Synthetic Aperture Radar (SAR) data in conjunction with crop biophysical parameters.

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Background: Urothelial carcinoma (UC) is a common malignancy, predominantly affecting males. Many tumor cells use the interaction between programmed death-ligand 1 (PD-L1) and programmed death receptor (PD-1) to inactivate T-cells in the microenvironment and evade host immune response. Our study aims to evaluate the expression of PD-L1 in UC and correlate its expression with histomorphological parameters.

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Gellan gum (GG) - the microbial exopolysaccharide is increasingly being adopted into drug development, tissue engineering, and food and pharmaceutical products. In spite of the commercial importance and expanding application horizon of GG, little attention has been directed toward the exploration of novel microbial cultures, development of advanced screening protocols, strain engineering, and robust upstream or downstream processes. This comprehensive review not only attempts to summarize the existing knowledge pool on GG bioprocess but also critically assesses their inherent challenges.

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Background: Pulmonary tuberculosis may result in haematogenous and lymphatic extension in case of failure of early detection, or immunocompromised status, leading to extrapulmonary tuberculosis. Rare sites of extrapulmonary tuberculosis include the gastrointestinal tract, musculoskeletal system, genital tract, middle ear and pericardium. Histopathological findings of macro-confluent granuloma with or without caseous necrosis, along with detection of acid-fast bacilli (AFB) on Ziehl-Neelsen (ZN) staining, and GeneXpert for detection of DNA, are key in establishing a diagnosis of tuberculosis.

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  • MR imaging is essential for assessing tumor burden and changes in pediatric neuro-oncology, but accurately identifying tumor components can be complex and subjective.
  • Current response assessment guidelines do not fully address challenges such as differentiating tumor types and understanding the impact of imaging inconsistencies, leading to variability in evaluations by different observers.
  • The paper emphasizes the need for standardized criteria to improve the identification of tumor subregions and suggests that automated segmentation using AI could enhance objective assessments, aiming for more reliable metrics in clinical studies.
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  • A boot camp at Thomas Jefferson University helped medical students learn about neurosurgery subinternships, which are important for getting into neurosurgery residency programs.
  • The program included surveys before and after the camp to see if students felt more confident and knowledgeable about what to expect during their subinternships.
  • Results showed that after attending the camp, students from different backgrounds felt they understood the requirements better and were more confident in their skills.
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Background And Purpose: Tumor segmentation is essential in surgical and treatment planning and response assessment and monitoring in pediatric brain tumors, the leading cause of cancer-related death among children. However, manual segmentation is time-consuming and has high interoperator variability, underscoring the need for more efficient methods. After training, we compared 2 deep-learning-based 3D segmentation models, DeepMedic and nnU-Net, with pediatric-specific multi-institutional brain tumor data based on multiparametric MR images.

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Background: Inflammation has an important role in the progression of endometrial carcinoma.

Aims: The aim of this study is to find the association between neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and CA125 in endometrial hyperplasia and endometrial carcinoma. The study also focuses on the association of CA125, NLR, and PLR with histopathological parameters in endometrial carcinoma that are of prognostic importance.

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Advancements in research concerning the occurrence of microplastics (MPs) in human blood, sputum, urine, and breast milk samples have piqued the interest of the scientific community, prompting further investigation. MPs present in the placenta, amniotic fluid, and meconium raise concerns about interference with embryonic development, leading to preeclampsia, stillbirth, preterm birth, and spontaneous abortion. The challenges posed by MPs extend beyond pregnancy, affecting the digestive, reproductive, circulatory, immune, and central nervous systems.

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Pediatric brain and spinal cancers remain the leading cause of cancer-related death in children. Advancements in clinical decision-support in pediatric neuro-oncology utilizing the wealth of radiology imaging data collected through standard care, however, has significantly lagged other domains. Such data is ripe for use with predictive analytics such as artificial intelligence (AI) methods, which require large datasets.

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Microplastics (MPs) are plastic particles in a size ranging from 1 mm to 5 mm in diameter, and are formed by the breakdown of plastics from different sources. They are emerging environmental pollutants, and pose a great threat to living organisms. Improper disposal, inadequate recycling, and excessive use of plastic led to the accumulation of MP in the environment.

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Round cell tumors are a group of malignant tumors which shows overlapping microscopic features of small round monotonous cells with hyper-chromatic nucleus. It mostly occurs in children, adolescent, and young adults. The ancillary technique to confirm the differential diagnosis of round cells sarcoma is immuno-histo chemistry (IHC).

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This study addresses the pressing need for sustainable bioremediation solutions to combat increasing pollution challenges in alignment with sustainability development goals. The research focuses on developing a co-culture approach involving microalgae and Komagataeibacter europaeus BCRC 14148 bacterium to create a biocomposite for efficient ammonia removal. Nanocellulose, produced by the bacterium, serves as a substrate for microalgae attachment.

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Advanced sustainable bioremediation is gaining importance with rising global pollution. This review examines microalgae's potential for sustainable bioremediation and process enhancement using multi-omics approaches. Recently, microalgae-bacterial consortia have emerged for synergistic nutrient removal, allowing complex metabolite exchanges.

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The simplest approach to convey the results of scientific analysis, which can include complex comparisons, is typically through the use of visual items, including figures and plots. These statistical plots play a critical role in scientific studies, making data more accessible, engaging, and informative. A growing number of visual representations have been utilized recently to graphically display the results of oncologic imaging, including radiomic and radiogenomic studies.

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Increasing evidence suggests that besides mutational and molecular alterations, the immune component of the tumor microenvironment also substantially impacts tumor behavior and complicates treatment response, particularly to immunotherapies. Although the standard method for characterizing tumor immune profile is through performing integrated genomic analysis on tissue biopsies, the dynamic change in the immune composition of the tumor microenvironment makes this approach not feasible, especially for brain tumors. Radiomics is a rapidly growing field that uses advanced imaging techniques and computational algorithms to extract numerous quantitative features from medical images.

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In the recent past, an increasing interest is mostly observed in using microwave and ultrasonic irradiation to aid the biological conversion of waste materials into value-added products. This study is focused on various individual impacts of microwaves and ultrasonic waves for the treatment of biomass before the synthesis of value-added products. Following, a comprehensive review of the mechanisms governing microwaves and ultrasonication as the treatment methods, their effects on biomass disruption, solubilization of organic matter, modification of the crystalline structure, enzymatic hydrolysis and production of reducing sugars was performed.

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Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20%. Due to their rarity, the diagnosis of these entities is often delayed, their treatment is mainly based on historic treatment concepts, and clinical trials require multi-institutional collaborations.

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We have designed and synthesized a series of FF peptide mimetics with conformationally rigid and flexible spacers to study the effect of spacers on their structure and self-assembly. The results help in understanding biomolecular aggregation and provide a strategy to obtain fractal pattern materials. From X-ray single crystal analysis, the -diaminobenzene appended FF peptide mimetic adopts a duplex structure stabilized by multiple intermolecular hydrogen bonds.

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