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Abstract Functional foods, such as fermented bamboo shoots, have a long history of consumption among the ethnic communities in northeast India. These locally fermented bamboo shoots contain a wealth of beneficial microbes and metabolites that can help combat metabolic syndromes like obesity. However, the precise effects and mechanism behind fermented bamboo shoot products and their anti‐obesity properties remain unknown. This study aims to explore the different types of fermented bamboo shoot products to determine their potential anti‐obesity effects as well as to analyze their microbial diversity and metabolite profiles. Using both culture‐dependent and culture‐independent methods, we found a high abundance of lactic acid bacteria from the Firmicutes and Proteobacteria phyla in the sample. Gas chromatography–mass spectrometry (GC–MS) based untargeted metabolite profiling detected several aroma‐active compounds, bioactive metabolites, short‐chain fatty acids, and essential amino acids in the samples. The water extract derived from a particular type of fermented bamboo shoot, Melye‐amiley, was found to significantly reduce intracellular lipid accumulation in cultured 3T3‐L1 cells. In addition, this extract increased the expression of lipolytic (hormone‐sensitive lipase, lipoprotein lipase, and adipose triglyceride lipase) and browning regulator genes (uncoupling protein [UCP1], PRDM16, and PGC1‐alpha). By activating the AMPK signaling pathway, the water extract from Melye‐amiley also upregulated thermogenic protein expression and promoted mitochondrial biogenesis and fatty acid β‐oxidation. These findings suggest that fermented bamboo shoot extract has promising anti‐obesity effects by boosting energy expenditure in white adipocytes. Future research is necessary to identify the active ingredient(s) that may lead to new therapies to treat obesity.

Abstract Soft and stretchable electronics represents a high potential paradigm shift in field of electronics, for example, in applications related to solar cells, organic displays, electronic skin, and wearable sensors. In this work, a soft and stretchable humidity‐insensitive thermoresistive sensor is developed using interdigitated electrodes made of silver‐plated nylon fabric coated with silver‐ink and a layer of poly(3,4‐ethylenedioxythiophene)–poly(styrene sulfonate) (PEDOT: PSS) embedded into elastomer. The mechanical and thermoelectrical properties of the soft sensor are characterized and analyzed. The fabricated soft sensor provides a combination of linear temperature sensitivity of 0.46% °C−1 with an R2 of 0.986 from 30 to 55 °C at 0% uniaxial tensile strain. It also exhibits excellent stability in environmental humidity ranging from ≈30% RH to ≈80% RH. The linear sensitivity is improved to 1.49% °C−1 by applying a 40% pre‐measurement stretch to the sensor. Due to its good temperature sensitivity (0.46 to 1.49% °C−1), excellent linearity (0.986), and high stretchability (≈125%), the soft and stretchable temperature sensor proves to be a very promising solution for wearable temperature sensing.

This article introduces a novel mathematical approach for modeling and analyzing Listeria infection dynamics by considering a system of fractional-order differential equations to understand the complexities. The homotopy perturbation general transform method (HPGTM) is applied to derive approximate solutions for the fractional-order Listeria infection model to obtain valuable insights. The obtained numerical and graphical solutions are rigorously analyzed to explore the effect of fractional orders on the dynamics of Listeria infections. Furthermore, we explore the existence, uniqueness, and stability properties of the solutions, unveiling the critical parameters influencing infection spread and persistence.

Abstract Background Process intensification is a major hurdle in pharmaceutical process scale-up. Solvent removal strategies have limited the effectiveness of the overall stability of pharmaceutical formulations. The main aim of present review article is to focus on the use of the freeze-drying process in pharmaceuticals, biopharmaceuticals and nanoderived therapeutics and their translation into commercial viable products. Unwavering efforts of scientists in the process intensification of lyophilization promote unique features of products for commercialization. Regulatory agencies are promoting the utilization of a quality-by-design approach to improve product characteristics. Among 300 FDA-approved pharmaceutical industries, 50% of products are freeze-dried. The freeze-drying process is costlier and requires more time than other drying methodologies. Unstable pharmaceutical dispersions and solutions can be preferably stabilized by using the freeze-drying method. Main text This review highlights the utilization of critical quality attributes and process parameters for the freeze-drying process, which helps to improve the integrity and stability of the formulation. The quality-by-design approach possibly cuts the cost of the process and saves money, time, and laborious work. The present review focuses preliminarily on the applications of freeze-drying in the development of biopharmaceuticals, including vaccines, proteins and peptides, and injectable products. In addition, a separate section demonstrating the potential of freeze-drying in nanoderived therapeutics has been illustrated briefly. The present clinical scenario of freeze-dried pharmaceuticals and biopharmaceuticals has also been described in later sections of the review. Conclusions This review underscores the value of integrating Quality by Design into the development of lyophilization processes for pharmaceutical and biopharmaceutical products. By identifying critical process parameters, delineating a design space, and leveraging advanced monitoring techniques, manufacturers can effectively address the intricacies of lyophilization. This approach empowers them to produce stable, superior quality products with confidence and consistency. Graphical abstract

This study investigates Diabetes Mellitus, focusing on global variations and complications for human health. We employ the ABC fractional derivative to develop a fractional-ordered diabetes model that incorporates complications for deeper understanding. This study is crucial for identifying patterns and trends by examining Diabetes Mellitus region-wise, aiding in targeted interventions and healthcare strategies, and using the ABC fractional derivative for a more accurate representation of the complexities associated with the disease, leading to more effective modeling and analysis. Our research yields important results that distinguish it from previous studies. Specifically, we investigate the stability and existence conditions of the proposed fractional-ordered diabetes model. Additionally, we employ the Adomian decomposition Laplace transform method to obtain solutions, enabling us to analyze the dynamics of the system comprehensively. Through graphical interpretations, we compare the recovery rates of diabetes in susceptible patients, both with and without complications. Regional analysis reveals varying prevalences and characteristics of Diabetes Mellitus, requiring tailored healthcare approaches. By incorporating complications into the fractional-ordered model, we enhance our understanding of the disease’s progression and its impact on recovery rates. These insights contribute to the broader field of diabetes research and offer valuable implications for clinical practice and public health policy.

In this paper, we describe the new Adomian Decomposition General Transform Method (ADGTM). Further, the efficacy of the method is proved by applying it to well-known equations, such as the logistic equation, Emden–Lane–Fowler equation, Gardner equation, and Cahn–Hilliard equation, in fractional order to study the intrinsic behavior. We compare the results with other well-known methods like RPSM, and q-HATM to prove the reliability and accuracy of the proposed method. For the selected applications, we frame 2D and 3D graphs to explain how the fractional-order derivative affects the behavior of the obtained solutions.

Abstract Rapid development of renewable energy sources, particularly solar photovoltaics (PV), is critical to mitigate climate change. As a result, India has set ambitious goals to install 500 gigawatts of solar energy capacity by 2030. Given the large footprint projected to meet renewables energy targets, the potential for land use conflicts over environmental values is high. To expedite development of solar energy, land use planners will need access to up-to-date and accurate geo-spatial information of PV infrastructure. In this work, we developed a spatially explicit machine learning model to map utility-scale solar projects across India using freely available satellite imagery with a mean accuracy of 92%. Our model predictions were validated by human experts to obtain a dataset of 1363 solar PV farms. Using this dataset, we measure the solar footprint across India and quantified the degree of landcover modification associated with the development of PV infrastructure. Our analysis indicates that over 74% of solar development In India was built on landcover types that have natural ecosystem preservation, or agricultural value.

Amputation is the surgical removal of all or part of a body part. It demands an adjustment in almost every sphere of a person’s life in addition to physical disability. An amputee faces problems in almost every psychosocial sphere. 1 , 2 Along with physical pain in the stump, patients may experience phantom sensations. 3 – 5 Patients may also grieve, feel depressed, and anxious 3 , 6 , 4 , 7 or have posttraumatic stress disorder symptoms. 8 , 9 They may be apprehensive about their future plans and inconclusive regarding life challenges. Grief is one of the most common reactions to amputation, 10 , 1 , 7 but often gets neglected in intensive surgical units. 1 Many times, grief reactions are not resolved, turning into complicated grief or prolonged grief, leading to conditions like depression, anxiety, or even suicide. This article is about an attempt to help a patient initiate the grieving process for healthy outcomes.