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Topic Review
Recurrent Glioblastoma
Glioblastoma (GBM) is the most aggressive central nervous system (CNS) primary malignancy in adults, with a median age at diagnosis of 65 years.
  • 1.2K
  • 08 Feb 2021
Topic Review
PKCtheta in Cancer
Protein Kinase C theta (PKCθ) is a serine/threonine kinase that belongs to the novel PKC sub-family. PKCθ has been extensively studied for its role in the immune system where it plays a critical role in T cell activation. Beyond its physiological role in immune responses, increasing evidence implicates PKCθ in the pathology of various diseases, especially autoimmune disorders and cancers. Particularly, in various types of cancers, the high PKCθ expression leads to aberrant cell proliferation, migration and invasion, thereby promoting cancer aggressiveness. The recent development and application of PKCθ inhibitors in the context of auto-immune diseases could benefit the emergence of treatment for cancers in which PKCθ has been implicated.
  • 1.2K
  • 20 Feb 2021
Topic Review
Monoclonal Antibodies as Neurological Therapeutics
Monoclonal antibodies are key therapeutic agents for several neurological conditions with diverse pathophysiological mechanisms, including multiple sclerosis, migraines and neuromuscular disease. In addition, a great number of monoclonal antibodies against several targets are being investigated for many more neurological diseases, which reflects our advances in understanding the pathogenesis of these diseases. Untangling the molecular mechanisms of disease allows monoclonal antibodies to block disease pathways accurately and efficiently with exceptional target specificity, minimizing non-specific effects. On the other hand, accumulating experience shows that monoclonal antibodies may carry class-specific and target-associated risks. 
  • 1.2K
  • 03 Mar 2021
Topic Review
Circadian Physiological Actions in Pigs
Circadian rhythms exist in almost all types of cells in mammals. Thousands of genes exhibit approximately 24-h oscillations in their expression levels, making the circadian clock a crucial regulator of their normal functioning. Identification of environmental and physiological inputs that affect circadian gene expressions will help development of novel targets and the corresponding approaches to optimize production efficiency in pigs.
  • 1.2K
  • 20 Mar 2021
Topic Review
High-Temperature Polymer Electrolyte Membranes
Sufficient access to clean energy sources is one of the ongoing key challenges for global development that directly impacts industrial development, economic growth, and human well-being. Historically, the energy sector is widely dominated based on fossil fuels (such as petroleum fuels, natural gas, coal, etc.), which are the primary sources of carbon dioxide (CO2) and other greenhouse gases emissions in the environment. 
  • 1.2K
  • 09 Sep 2021
Topic Review
Cytokines and Chemokines in Osteoarthritis
Osteoarthritis is a common cause of disability worldwide. Although commonly referred to as a disease of the joint cartilage, osteoarthritis affects all joint tissues equally. The pathogenesis of this degenerative process is not completely understood; however, a low-grade inflammation leading to an imbalance between anabolic and katabolic processes is a well-established factor. The complex network of cytokines regulating these processes and cell communication has a central role in the development and progression of osteoarthritis. Concentrations of both proinflammatory and anti-inflammatory cytokines were found to be altered depending on the osteoarthritis stage and activity.
  • 1.2K
  • 10 Sep 2021
Topic Review
Selenium and Ageing
Selenium (Se) is an essential dietary trace element that plays an important role in the prevention of inflammation, cardiovascular diseases, infections, and cancer. Selenoproteins contain selenocysteine in the active center and include, i.a., the enzymes thioredoxin reductases (TXNRD1–3), glutathione peroxidases (GPX1–4 and GPX6) and methionine sulfoxide reductase, involved in immune functions, metabolic homeostasis, and antioxidant defense. Ageing is an inevitable process, which, i.a., involves an imbalance between antioxidative defense and reactive oxygen species (ROS), changes in protein and mitochondrial renewal, telomere attrition, cellular senescence, epigenetic alterations, and stem cell exhaustion. These conditions are associated with mild to moderate inflammation, which always accompanies the process of ageing and age-related diseases. In older individuals, Se, by being a component in protective enzymes, operates by decreasing ROS-mediated inflammation, removing misfolded proteins, decreasing DNA damage, and promoting telomere length. Se-dependent GPX1–4 and TXNRD1–3 directly suppress oxidative stress. Selenoprotein H in the cell nucleus protects DNA, and selenoproteins residing in the endoplasmic reticulum (ER) assist in the removal of misfolded proteins and protection against ER stress.
  • 1.2K
  • 11 Nov 2021
Topic Review
Protein Tyrosine Phosphatases
Protein tyrosine kinases, especially receptor tyrosine kinases, have dominated the cancer therapeutics sphere as proteins that can be inhibited to selectively target cancer. However, protein tyrosine phosphatases (PTPs) are also an emerging target. Though historically known as negative regulators of the oncogenic tyrosine kinases, PTPs are now known to be both tumor-suppressive and oncogenic.
  • 1.2K
  • 07 Dec 2021
Topic Review
Waste Management Policies and Self-Enhancement Bias
Waste source separation has been a social dilemma globally with a low participation rate. 
  • 1.2K
  • 20 Dec 2021
Topic Review
Protein Tyrosine Phosphatase Receptor Gamma
Protein tyrosine phosphatase gamma (PTPRG) is an enzyme that remove phosphate groups from phosphotyrosine residues of specific intracellular targets. It belongs to the tyrosine phosphatase (PTP) family of proteins and it is widely expressed in human tissues. 
  • 1.2K
  • 23 Feb 2022
Topic Review
Data Quality Supporting Marine Mineral Oil Spill Assessments
Spilled mineral oils in the marine environment pose a number of challenges to sampling and analysis. Mineral oils are complex assemblages of hydrocarbons and additives, the composition of which can vary considerably depending on the source oil and product specifications. Further, the marine microbial and chemical environment can be harsh and variable over short times and distances, producing a rigorous source of hydrocarbon degradation of a mineral oil assemblage. Researchers must ensure that any measurements used to determine the nature and extent of the oil release, the fate and transport of the mineral oil constituents, and any resultant toxicological effects are derived using representative data that adhere to the study’s data quality objectives (DQOs).
  • 1.2K
  • 11 Mar 2022
Topic Review
Machine Learning in Agricultural Big Data
Agricultural Big Data is a set of technologies that allows responding to the challenges of the new data era. In conjunction with machine learning, farmers can use data to address problems such as farmers’ decision making, water management, soil management, crop management, and livestock management. Crop management includes yield prediction, disease detection, weed detection, crop quality, and species recognition. On the other hand, livestock management considers animal welfare and livestock production. 
  • 1.2K
  • 08 Apr 2022
Topic Review
Improvement of Agricultural Product Traceability with Blockchain
In recent years, agricultural product safety accidents have raised public concern, jeopardizing people’s dietary safety and health. In order to keep track of specific information through the entire supply chain, including the production, logistics, processing, and sales processes, as well as to quickly find and prevent agricultural product safety problems, it is important to build a trusted traceability system. Traditional centralized traceability systems exist with the issues of insecure data storage, low traceability reliability, and single-point attack vulnerability. Blockchain technology has the characteristics of being data tamper-proof, distributed, decentralized, and traceable, which makes it a promising technology for agricultural product traceability.
  • 1.2K
  • 16 May 2022
Topic Review
GeForce 500 Series
A refresh of the Fermi based GeForce 400 series, the GeForce 500 series is a series of graphics processing units developed by Nvidia, first released on November 9, 2010 with the GeForce GTX 580.
  • 1.2K
  • 17 Oct 2022
Topic Review
Artemisia Armeniaca
Artemisia /ˌɑːrtɪˈmiːziə/ is a large, diverse genus of plants with between 200 and 400 species belonging to the daisy family Asteraceae. Common names for various species in the genus include mugwort, wormwood, and sagebrush. Artemisia comprises hardy herbaceous plants and shrubs, which are known for the powerful chemical constituents in their essential oils. Artemisia species grow in temperate climates of both hemispheres, usually in dry or semiarid habitats. Notable species include A. vulgaris (common mugwort), A. tridentata (big sagebrush), A. annua (sagewort), A. absinthium (wormwood), A. dracunculus (tarragon), and A. abrotanum (southernwood). The leaves of many species are covered with white hairs. Most species have strong aromas and bitter tastes from terpenoids and sesquiterpene lactones, which discourage herbivory, and may have had a selective advantage. The small flowers are wind-pollinated. Artemisia species are used as food plants by the larvae of a number of Lepidoptera species. Some botanists split the genus into several genera, but DNA analysis does not support the maintenance of the genera Crossostephium, Filifolium, Neopallasia, Seriphidium, and Sphaeromeria; three other segregate genera -- Stilnolepis, Elachanthemum, and Kaschgaria -- are maintained by this evidence. Occasionally, some of the species are called sages, causing confusion with the Salvia sages in the family Lamiaceae.
  • 1.2K
  • 02 Dec 2022
Topic Review
Sensing Surfaces for Capacitive Biodetection
Affinity-based biosensors operate by specifically capturing a biological target with biological or synthetic capture agents such as aptamers, DNAzymes, single stranded DNAs or antibodies. Despite their high sensitivity and their suitability for miniaturization, biosensors are still limited for clinical applications due to the lack of reproducibility and specificity of their detection performance. The design and preparation of sensing surfaces are suspected to be a cause of these limitations.
  • 1.2K
  • 18 Jan 2023
Topic Review
USV and AUV for Underwater Wireless Sensor Networks
Oceanographic data collection, disaster prevention, aided navigation, critical observation sub-missions, contaminant screening, and seaward scanning are just a few of the submissions that use underwater sensor hubs. Unmanned submerged vehicles (USVs) or autonomous acoustic underwater vehicles (AUVs) through sensors would similarly be able to explore unique underwater resources and gather data when utilized in conjunction with integrated screen operations. The most advanced technological method of oceanic observation is wireless information routing beneath the ocean or generally underwater. Water bottoms are typically observed using oceanographic sensors that collect data at certain ocean zones.
  • 1.2K
  • 19 Jan 2023
Topic Review
Metal and Metal Oxide Nanomaterials
The misuse and mismanagement of antibiotics have made the treatment of bacterial infections a challenge. This challenge is magnified when bacteria form biofilms, which can increase bacterial resistance up to 1000 times. It is desirable to develop anti-infective materials with antibacterial activity and no resistance to drugs. With the rapid development of nanotechnology, anti-infective strategies based on metal and metal oxide nanomaterials have been widely used in antibacterial and antibiofilm treatments.
  • 1.2K
  • 02 Feb 2023
Topic Review
Bioactivities and Pharmaceutical Applications of Algal Phycocolloids
Seaweeds are abundant sources of diverse bioactive compounds with various properties and mechanisms of action. These compounds offer protective effects, high nutritional value, and numerous health benefits. Seaweeds are versatile natural sources of metabolites applicable in the production of healthy food, pharmaceuticals, cosmetics, and fertilizers. Their biological compounds make them promising sources for biotechnological applications. In nature, hydrocolloids are substances which form a gel in the presence of water. They are employed as gelling agents in food, coatings and dressings in pharmaceuticals, stabilizers in biotechnology, and ingredients in cosmetics. Seaweed hydrocolloids are identified in carrageenan, alginate, and agar. Carrageenan has gained significant attention in pharmaceutical formulations and exhibits diverse pharmaceutical properties. Incorporating carrageenan and natural polymers such as chitosan, starch, cellulose, chitin, and alginate. It holds promise for creating biodegradable materials with biomedical applications. Alginate, a natural polysaccharide, is highly valued for wound dressings due to its unique characteristics, including low toxicity, biodegradability, hydrogel formation, prevention of bacterial infections, and maintenance of a moist environment. Agar is widely used in the biomedical field. 
  • 1.2K
  • 05 Jul 2023
Topic Review
Machine Learning-Based Text Classification Comparison
The growth in textual data associated with the increased usage of online services and the simplicity of having access to these data has resulted in a rise in the number of text classification research papers. Text classification has a significant influence on several domains such as news categorization, the detection of spam content, and sentiment analysis. The classification of Turkish text is the research focus since only a few studies have been conducted in this context. Researchers utilize data obtained from customers’ inquiries that come to an institution to evaluate the proposed techniques. Classes are assigned to such inquiries specified in the institution’s internal procedures. The Support Vector Machine, Naïve Bayes, Long Term-Short Memory, Random Forest, and Logistic Regression algorithms were used to classify the data. The performance of the various techniques was then analyzed after and before data preparation, and the results were compared. The Long Term-Short Memory technique demonstrated superior effectiveness in terms of accuracy, achieving an 84% accuracy rate, surpassing the best accuracy record of traditional techniques, which was 78% accuracy for the Support Vector Machine technique. The techniques performed better once the number of categories in the dataset was reduced. Moreover, the findings show that data preparation and coherence between the classes’ number and the number of training sets are significant variables influencing the techniques’ performance.
  • 1.2K
  • 01 Sep 2023
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