Recent advances on artificial intelligence-based approaches for food adulteration and fraud detection in the food industry: Challenges and opportunities.

Food adulteration is the deceitful practice of misleading consumers about food to profit from it. The threat to public health and food quality or nutritional valuable make it a major issue. Food origin and adulteration should be considered to safeguard customers against fraud.

Ex vivo functional whole organ in biomedical research: a review.

Model systems are critical in biomedical and preclinical research. Animal and in vitro models serve an important role in our current understanding of human physiology, disease pathophysiology, and therapy development. However, if the system is between cell culture and animal models, it may be able to overcome the knowledge gap that exists in the current system.

Enhancing the wound healing potential using earthworm clitellum factors and elucidating its molecular mechanism in an in-vitro and earthworm model.

Earthworm, Eudrilus eugeniae cannot survive and regenerate without clitellum segments. In regenerating worms, the clitellum's epithelial and circular muscular layers are reduced to one-third, and longitudinal cell layers to half. In C2C12 cells, Clitellum Factors (CF - 5, 25 and 50%) and Regenerative Clitellum Factors (RCF - 5, 25, 50, 75%) ameliorate the cell viability up to 20-28% and 30-38% respectively than the control.

Essential oil-nanoemulsion based edible coating: Innovative sustainable preservation method for fresh/fresh-cut fruits and vegetables.

Utilizing plant-based sources for the preservation of fresh and fresh-cut fruits and vegetables offers a natural and chemical-free method. However, the inherent instability of plant bioactive compounds underscores the necessity for encapsulation techniques. Essential oil-based nanoemulsions (EO-NEs) stand out among food additives due to their distinctive antibacterial and antioxidant properties.

Artificial neural networks (ANN)-genetic algorithm (GA) optimization on thermosonicated achocha juice: kinetic and thermodynamic perspectives of retained phytocompounds.

The extraction of phytocompounds from Achocha () vegetable juice using traditional methods often results in suboptimal yields and efficiency. This study aimed to enhance the extraction process through the application of thermosonication (TS). To achieve this, an artificial neural network (ANN) and a genetic algorithm (GA) were utilized to simulate and optimize the process parameters.

Infrared thermogram image guided discontinuous appearances of hyaluronic acid for classification of arthritic knee joints.

The liveliness of a human potentially depends on his/her smooth movability. To accomplish the work of daily life, the joints of the body need to be healthy. However, the occurrence of Rheumatoid arthritis and Osteoarthritis has a significant prevalence towards the immovability of humankind.

Understanding the molecular mechanism of regeneration through apoptosis-induced compensatory proliferation studies - updates and future aspects.

AICP is a crucial process that maintaining tissue homeostasis and regeneration. In the past, cell death was perceived merely as a means to discard cells without functional consequences. However, during regeneration, effector caspases orchestrate apoptosis, releasing signals that activate stem cells, thereby compensating for tissue loss across various animal models.

The molecular mechanisms underlying the regeneration process in the earthworm, Perionyx excavatus exhibit indications of apoptosis-induced compensatory proliferation (AICP).

Regeneration is a multifaceted biological phenomenon that necessitates the intricate orchestration of apoptosis, stem cells, and immune responses, culminating in the regulation of apoptosis-induced compensatory proliferation (AICP). The AICP context of research is observed in many animal models like in Hydra, Xenopus, newt, Drosophila, and mouse but so far not reported in earthworm. The earthworm Perionyx excavatus is used in the present study to understand the relationship between AICP-related protein expression and regeneration success in different conditions (normal regeneration and abnormal multiple bud formation).

Optimizing Quality and Shelf-Life Extension of Bor-Thekera () Juice: A Thermosonication Approach with Artificial Neural Network Modeling.

This study investigated the quality characteristics of pasteurized and thermosonicated bor-thekera (Garcinia pedunculata) juices (TSBTJs) during storage at 4 °C for 30 days. Various parameters, including pH, titratable acidity (TA), total soluble content (TSSs), antioxidant activity (AA), total phenolic content (TPC), total flavonoid content (TFC), ascorbic acid content (AAC), cloudiness (CI) and browning indexes (BI), and microbial activity, were analyzed at regular intervals and compared with the quality parameters of fresh bor-thekera juice (FBTJ). A multi-layer artificial neural network (ANN) was employed to model and optimize the ultrasound-assisted extraction of bor-thekera juice.

Understanding the Multi-Functional Role of TCTP in the Regeneration Process of Earthworm, Perionyx excavatus.

Background: Regeneration is a highly complex process that requires the coordination of numerous molecular events, and identifying the key ruler that governs is important to investigate. While it has been shown that TCTP is a multi-functional protein that regulates cell proliferation, differentiation, apoptosis, anti-apoptosis, stem cell maintenance, and immune responses, but only a few studies associated to regeneration have been reported. To investigate the multi-functional role of TCTP in regeneration, the earthworm Perionyx excavatus was chosen.

Effect of Thermosonication on the Nutritional Quality of Lapsi () Fruit Juice: Application of Advanced Artificial Neural Networks.

This study explored the effect of thermosonication on the nutritional properties of lapsi () fruit juice. The intent of the present investigation was to process lapsi fruit juice using both thermosonication and thermal pasteurisation and to compare the effects of these treatments on the juice's physicochemical, nutritional, and microbiological qualities. In order to maximise the retention of nutritional properties, enhance juice quality, and boost efficiency, an artificial neural network (ANN) model was also developed to forecast the optimisation of process parameters for the quality of lapsi fruit juice.

In Vitro Study on Spermicidal Action of Hydro-methanol Extract of Tinospora cordifolia (Willd.) Stem in Rat and Human Sperm: a Comparative Analysis.

Human fertility regulation is a major way to control overpopulation. In this perspective, this study emphasized the in vitro effect of hydro-methanol extract of Tinospora cordifolia (TCHME) stem for spermicidal and reproductive hypo-functions using human and rat samples. Control, 0.

Augmentation of anti-proliferative efficacy of quercetin encapsulated chitosan nanoparticles by induction of cell death via mitochondrial membrane permeabilization in oral cancer.

Quercetin (QCT), an antioxidant plant flavonoid, is known to impart prominent anti-cancer properties. However, its clinical application as a potential drug is hindered owing to its hydrophobicity, extensive metabolism, low absorption, and rapid elimination. The drawbacks of these phytochemical-based therapies can be addressed using nanotechnology-based drug delivery systems.

Effects of Dietary Diversity on Growth Outcomes of Children Aged 6 to 23 Months in India: Evidence from National Family and Health Survey.

Low dietary diversity significantly interplays with children’s growth failure. However, evidence of its crucial role in children’s health remains inconclusive in developing countries such as India. This study attempts to find the association between dietary diversity and growth outcomes among children aged between 6 and 23 months in India using the fourth round of the National Family Health Survey (NFHS), 2015−2016.

Examining the rural-urban divide in predisposing, enabling, and need factors of unsafe abortion in India using Andersen's behavioral model.

Background: The prevalence of unsafe abortions significantly varies with geography; therefore, more research is needed to understand the rural-urban differences in unsafe abortion practices in India. The present study aims to explore the rural-urban differences in predisposing, enabling, and need factors of unsafe abortion in India.

Methods: The present study used the fourth round of the National Family Health Survey (2015-16) and included the women aged 15-49 who terminated pregnancies by induced abortion during the 5 years prior to the survey (N = 9113) as the study sample.

Perceived academic satisfaction level, psychological stress and academic risk among Indian students amidst COVID-19 pandemic.

Background: The Covid-19 pandemic has a significant impact on education and mental health outcomes. This study attempts to analyze the factors associated with academic satisfaction level, psychological stress/anxiety, and future academic risk among Indian students of higher education in the wake of the Covid-19 pandemic.

Methods: An online survey was conducted through a structured questionnaire among students of higher education.

Discovering client and intervention patterns in home visiting data.

Family home visiting is a widely accepted strategy used with disadvantaged families to mitigate the effects of poverty. However, gaps persist in knowledge of effective intervention approaches for home visiting relative to specific client risks such as parenting and psychosocial problems. The purpose of this study was to inductively create clusters from electronic health records of 484 public health nursing clients, using client characteristics and intervention data.