Microalgae as a potential raw material for plant-based seafood alternatives: A comprehensive review.

Microalgae presents an inducing potential as a primary raw material in crafting plant-based seafood alternatives, revolutionizing the landscape of sustainable food production. These microscopic organisms display a rich nutritional profile, presenting an array of nutrients such as essential amino acids, polyunsaturated fatty acids, vitamins, and minerals comparable to those found in seafood. Their versatile nature allows for the replication of seafood flavors and textures, addressing the sensory aspects crucial to consumer acceptance of substitutes.

Exploring the cholesterol-lowering effects of cereal bran cell wall-enriched diets.

Cell wall polysaccharides (dietary fiber) in cereal grains contribute to health benefits. The novelty of the current study was an effort to explore the in vivo therapeutic potential of different cereal bran cell walls against hypercholesterolemia. For this purpose, the cell walls were isolated from different cereal brans (wheat, maize, oats, and barley), and the intake of these cereal bran cell walls was evaluated for their anti-lipidemic activity in normal and hypercholesterolemic rats.

Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms.

Sleep deprivation is a critical issue that affects workers in numerous industries, including construction. It adversely affects workers and can lead to significant concerns regarding their health, safety, and overall job performance. Several studies have investigated the effects of sleep deprivation on safety and productivity.

Detection of Parkinson disease using multiclass machine learning approach.

Parkinson's Disease (PD) is a prevalent neurological condition characterized by motor and cognitive impairments, typically manifesting around the age of 50 and presenting symptoms such as gait difficulties and speech impairments. Although a cure remains elusive, symptom management through medication is possible. Timely detection is pivotal for effective disease management.

Garden cress seeds: a review on nutritional composition, therapeutic potential, and industrial utilization.

The growing preference for natural remedies has resulted in increased use of medicinal plants. One of the most significant and varied plants is garden cress (), which has large concentrations of proteins, fatty acids, minerals, and vitamins. It also contains a wide range of bioactive components, including kaempferol glucuronide, gallic acid, protocatechuic acid, coumaric acid, caffeic acid, terpenes, glucosinolates, and many more.

Impact of low-oxalate diet on hyperoxaluria among patients suffering from nephrolithiasis.

Low-oxalate diets are useful for treating hyperoxaluria in nephrolithiasis patients. This study was unique in examining how a low-oxalate diet in addition to a standard diet affected hyperoxaluria and renal function tests in nephrolithiasis patients. The effects of a low-oxalate diet were analyzed by different biochemical tests, that is, anthropometric measurements, blood oxalate test, renal function test, electrolyte profile test, and 24 h urine analysis.

Royal Poinciana Biodiesel Blends with 1-Butanol as a Potential Alternative Fuel for Unmodified Research Engines.

This research work investigates the experimental work of a single-cylinder diesel engine operated with royal poinciana biodiesel blends with various proportions of 10, 20, and 30% volume with 1-butanol as an effective ignition-improving additive. The test blends were indicated as D90RP7B3 (90% diesel + 7% royal poinciana biodiesel + 3% butanol), D80RP14B6 (80% diesel + 14% royal poinciana biodiesel + 6% butanol), D70RP21B9 (70% diesel + 21% royal poinciana biodiesel + 9% butanol), and pure royal poinciana biodiesel (RP100) and diesel. The significant findings or results obtained during the experimentation are that BTE is suitable for blend D90RP7B3, and the least BSFC is found for blend D90RP7B3 in the 0.

Entropy for q-rung linear diophantine fuzzy hypersoft set with its application in MADM.

A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The soft set theory was expanded into the hypersoft set theory. By combining both the q-rung linear diophantine fuzzy set and hypersoft set, this study describes the notion of q-rung linear diophantine fuzzy hypersoft set that can handle multi sub-attributed q-rung linear diophantine fuzzy situations in the real world.

The mediating role of leader-member exchange (LMX) in the structural relationship between organizational justice and employee voice behaviour in higher education.

Within the vibrant yet complex ecosystem of higher education institutions, nurturing a culture of employee voice is critical for driving innovation, fostering engagement, and optimizing decision-making. However, it's still a complex task to identify the main factors influencing voice behaviour. This study ventures into this fertile ground, examining the mediating role of leader-member exchanges in the structural relationship between perceived organizational justice and employee voice behaviour in higher education.

WHOOP: whale optimization-based optimal placement of hub node within a WBAN.

Biosensor nodes of a wireless body area network (WBAN) transmit physiological parameter data to a central hub node, spending a substantial portion of their energy. Therefore, it is crucial to determine an optimal location for hub placement to minimize node energy consumption in data transmission. Existing methods determine the optimal hub location by sequentially placing the hub at multiple random locations within the WBAN.

Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network.

Deep learning recently achieved advancement in the segmentation of medical images. In this regard, U-Net is the most predominant deep neural network, and its architecture is the most prevalent in the medical imaging society. Experiments conducted on difficult datasets directed us to the conclusion that the traditional U-Net framework appears to be deficient in certain respects, despite its overall excellence in segmenting multimodal medical images.

A hybrid deep CNN model for brain tumor image multi-classification.

The current approach to diagnosing and classifying brain tumors relies on the histological evaluation of biopsy samples, which is invasive, time-consuming, and susceptible to manual errors. These limitations underscore the pressing need for a fully automated, deep-learning-based multi-classification system for brain malignancies. This article aims to leverage a deep convolutional neural network (CNN) to enhance early detection and presents three distinct CNN models designed for different types of classification tasks.

Legal situation and consumer acceptance of insects being eaten as human food in different nations across the world-A comprehensive review.

Insect consumption is a traditional practice in many countries. Currently, the urgent need for ensuring food sustainability and the high pressure from degrading environment are urging food scientists to rethink the possibility of introducing edible insects as a promising food type. However, due to the lack of the standardized legislative rules and the adequate scientific data that demonstrate the safety of edible insects, many countries still consider it a grey area to introduce edible insects into food supply chains.

A review on waste valorization, biotechnological utilization, and management of potato.

One of the most popular, cost-effective crops that are consumed globally is the potato. Due to the expanding food crisis, there is an increase in the demand for potato-based agro-food items. At the same time, it is noted that this pathway of ecological pollution from large-scale wastes is challenging to manage.

Development, stabilization, and characterization of nanoemulsion of vitamin D-enriched canola oil.

In this study, the oil-in-water nanoemulsion (NE) was prepared and loaded with vitamin D in food-grade (edible) canola oil and stabilized by Tween 80 and Span 80 by using a water titration technique with droplet sizes of 20 to 200 nm. A phase diagram was established for the influence of water, oil, and S-Mix concentration. The outcomes revealed that the particle size of blank canola oil nanoemulsion (NE) ranged from 60.

Intelligent diagnostic model for malaria parasite detection and classification using imperative inception-based capsule neural networks.

Malaria is an acute fever sickness caused by the Plasmodium parasite and spread by infected Anopheles female mosquitoes. It causes catastrophic illness if left untreated for an extended period, and delaying exact treatment might result in the development of further complications. The most prevalent method now available for detecting malaria is the microscope.

Studying infant mortality: A demographic analysis based on data mining models.

Child mortality, particularly among infants below 5 years, is a significant community well-being concern worldwide. The health sector's top priority in emerging states is to minimize children's death and enhance infant health. Despite a substantial decrease in worldwide deaths of children below 5 years, it remains a significant community well-being concern.

Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach.

In developing countries, child health and restraining under-five child mortality are one of the fundamental concerns. UNICEF adopted sustainable development goal 3 (SDG3) to reduce the under-five child mortality rate globally to 25 deaths per 1,000 live births. The under-five mortality rate is 69 deaths per 1,000 live child-births in Pakistan as reported by the Demographic and Health Survey (2018).

Effect of selenium nanoparticles on biological and morphofunctional parameters of barley seeds (Hordéum vulgáre L.).

The purpose of this work was to study the effect of selenium nanoparticles (Se NPs) on the biological and morphofunctional parameters of barley seeds (Hordéum vulgáre L.) We used seeds of Hordéum vulgáre L. with reduced morphofunctional characteristics.

Prevalence of cysticerci in Addis Ababa Abattoir Enterprise, Ethiopia.

An abattoir-based survey was conducted in Addis Ababa from December 2018 to April 2019 with the objectives of determining the prevalence of bovine cysticercosis and the viability of cysticerci. Routine meat inspection was performed on the study animals. Palpation followed by incision of the heart, tongue, triceps muscle, masseter muscle and diaphragm were made to detect the presence of cysts.