Single-cell classification, analysis, and its application using deep learning techniques.

Single-cell analysis (SCA) improves the detection of cancer, the immune system, and chronic diseases from complicated biological processes. SCA techniques generate high-dimensional, innovative, and complex data, making traditional analysis difficult and impractical. In the different cell types, conventional cell sequencing methods have signal transformation and disease detection limitations.

Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics.

Metal-Organic Frameworks (MOFs) have exceptional inherent properties that make them highly suitable for diverse applications, such as catalysis, storage, optics, chemo sensing, and biomedical science and technology. Over the past decades, researchers have utilized various techniques, including solvothermal, hydrothermal, mechanochemical, electrochemical, and ultrasonic, to synthesize MOFs with tailored properties. Post-synthetic modification of linkers, nodal components, and crystallite domain size and morphology can functionalize MOFs to improve their aptamer applications.

Sweat analysis for urea sensing: trends and challenges.

With increasing population there is a rise in pathological diseases that the healthcare facilities are grappling with. Sweat-based wearable technologies for continuous monitoring have overcome the demerits associated with sweat sampling and sensing. Hence, sweat as an alternative biofluid holds great promise for the quantification of a host of biomarkers and understanding the functioning of the body, thereby deducing ailments quickly and economically.

Aptamer-based rapid diagnosis for point-of-care application.

Aptasensors have attracted considerable interest and widespread application in point-of-care testing worldwide. One of the biggest challenges of a point-of-care (POC) is the reduction of treatment time compared to central facilities that diagnose and monitor the applications. Over the past decades, biosensors have been introduced that offer more reliable, cost-effective, and accurate detection methods.

Mechanical Properties and Corrosion Behavior of Silica Nanoparticle Reinforced Magnesium Nanocomposite for Bio-Implant Application.

In this study, magnesium (Mg)-based nanocomposites reinforced with silica (SiO) nanoparticles were developed using the powder metallurgy process, and their mechanical and corrosion behavior were assessed. Mg-alloy AZ31 served as the matrix material, and two different weight percentages of SiO nanoparticles were used as filler. According to the microstructural analysis, the composite generated a MgSi phase as a result of SiO dissociating during the sintering process.

Microbial granules on reactors performance during organic butyrate digestion: clean production.

This critical review for anaerobic degradation of complex organic compounds like butyrate using reactors has been enormously applied for biogas production. Biogas production rate has a great impact on: reactor granulation methanogenesis, nutrient content, shear velocity, organic loading and loss of nutrients taking place in the reactor continuously. Various technologies have been applied to closed anaerobic reactors to improve biogas production and treatment efficiency.

Bioavailability of zinc oxide nano particle with fly ash soil for the remediation of metals by .

To investigate the interaction of zinc oxide nanoparticles (ZnO NPs) with fly ash soil (FAS) for the reduction of metals from FAS by were studied. The average accumulation of metals by stem were Fe 79.6%; Zn 88.

Model for bioavailability and metal reduction from soil amended with petroleum wastewater by rye-grass L.

To assess the tolerance, the rye-grass L. grown on soil amended with petroleum wastewater (PWW) containing four metals lead, zinc, nickel and mercury. The PWW (25 to 50%) showed remarkable increase in length and biomass.

Word sense disambiguation using hybrid swarm intelligence approach.

Word sense disambiguation (WSD) is the process of identifying an appropriate sense for an ambiguous word. With the complexity of human languages in which a single word could yield different meanings, WSD has been utilized by several domains of interests such as search engines and machine translations. The literature shows a vast number of techniques used for the process of WSD.

Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm.

Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. In this paper, a Malay sentiment analysis classification model is proposed to improve classification performances based on the semantic orientation and machine learning approaches. First, a total of 2,478 Malay sentiment-lexicon phrases and words are assigned with a synonym and stored with the help of more than one Malay native speaker, and the polarity is manually allotted with a score.

Novel compounds targeting InhA for TB therapy.

Tuberculosis (TB) is described as lethal disease in the world. Resistant to TB drugs is the main reason to have unfavourable outcomes in the treatment of TB. Therefore, new agents to replace existing drugs are urgently needed.

Optimization of Resistance Load in 4T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor.

This study explores optimization of resistance load (R-Load) of four silicon nanowire transistor (SiNWT)-based static random-access memory (SRAM) cell. Noise margins and inflection voltage of butterfly characteristics with static power consumption of SRAM cell are used as limiting factors in this optimization. Range of R-Load used in this study was 20-1000 KΩ with Vdd = 1 V.

Engineered silybin nanoparticles educe efficient control in experimental diabetes.

Silybin, is one imminent therapeutic for drug induced hepatotoxicity, human prostate adenocarcinoma and other degenerative organ diseases. Recent evidences suggest that silybin influences gluconeogenesis pathways favorably and is beneficial in the treatment of type 1 and type 2 diabetes. The compound however is constrained due to solubility (0.

Role of calcium oxide in sludge granulation and methanogenesis for the treatment of palm oil mill effluent using UASB reactor.

The granulation process in palm oil mill effluent using calcium oxide-cement kiln dust (CaO-CKD) provides an attractive and cost effective treatment option. In this study the efficiency of CaO-CKD at doses of 1.5-20 g/l was tested in batch experiments and found that 10 g of CaO/l caused the greatest degradation of VFA, butyrate and acetate.

Integrated application of upflow anaerobic sludge blanket reactor for the treatment of wastewaters.

The UASB process among other treatment methods has been recognized as a core method of an advanced technology for environmental protection. This paper highlights the treatment of seven types of wastewaters i.e.

An intelligent load shedding scheme using neural networks and neuro-fuzzy.

Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed.