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Topic Review
Role of Surface Roughness in Ice Formation
Surface roughness or asperities plays a detrimental role in the icephobicity of a surface. This could be in the form of overall surface roughness or imparting surface features that may aid to mitigate ice anchoring or encourage favourable wettability conditions to induce icephobic performance.
  • 1.6K
  • 18 Jul 2023
Topic Review
Grain Size Associated Genes in Rice
Grain size is a quantitative trait that is controlled by multiple genes. It is not only a yield trait, but also an important appearance quality of rice. In addition, grain size is easy to be selected in evolution, which is also a significant trait for studying rice evolution. In recent years, many quantitative trait loci (QTL)/genes for rice grain size were isolated by map-based cloning or genome-wide association studies, which revealed the genetic and molecular mechanism of grain size regulation in part.
  • 1.6K
  • 31 Mar 2022
Topic Review
Plant Metabolomics
Plant metabolomics plays important roles in both basic and applied studies regarding all aspects of plant development and stress responses. With the improvement of living standards, people need high quality and safe food supplies. Thus, understanding the pathways involved in the biosynthesis of nutritionally and healthily associated metabolites in plants and the responses to plant-derived biohazards in humans is of equal importance to meet people’s needs. For each, metabolomics has a vital role to play, which is discussed in detail in this study. In addition, the core elements of plant metabolomics are highlighted, researches on metabolomics-based crop improvement for nutrition and safety are summarized, metabolomics studies on plant natural products including traditional Chinese medicine (TCM) for health promotion are briefly presented. Challenges are discussed and future perspectives of metabolomics as one of the most important tools to promote human nutrition and health are proposed.
  • 1.6K
  • 11 May 2021
Topic Review
Fully Integrated Photoacoustic NO2 Sensor
A fully integrated photoacoustic nitrogen dioxide (NO2) sensor is developed and demonstrated. In this sensor, an embedded photoacoustic cell was manufactured by using an up-to-date 3D printing technique. A blue laser diode was used as a light source for excitation of photoacoustic wave in the photoacoustic cell. The photoacoustic wave is detected by a sensitive microelectromechanical system (MEMS) microphone. Homemade circuits are integrated into the sensor for laser diode driving and signal processing. The sensor was calibrated by using a chemiluminescence NO–NO2–NOX gas analyzer. And the performance of this sensor was evaluated. The linear relationship between photoacoustic signals and NO2 concentrations was verified in a range of below 202 ppb. The limit of detection was determined to 0.86 ppb with an integration time of 1 s. The corresponding normalized noise equivalent absorption was 2.0 × 10−8 cm−1∙W∙Hz−1/2. The stability and the optimal integration time were evaluated with an Allan deviation analysis, from which a detection limit of 0.25 ppb at the optimal integration time of 240 s was obtained. The sensor was used to measure outdoor air and the results agree with that obtained from the NO–NO2–NOX gas analyzer. The low-cost and portable photoacoustic NO2 sensor has a potential application for atmospheric NO2 monitoring.
  • 1.6K
  • 01 Nov 2020
Topic Review
Calcium Dysregulation in Alzheimer’s Disease
Intracellular calcium (Ca2+) is an important second messenger that regulates multiple cellular functions, such as synaptic plasticity, action potentials, and learning and memory. Ca2+ dyshomeostasis, on the other hand, contributes to detrimental mechanisms such as necrosis, apoptosis, autophagy deficits, and neurodegeneration. Perturbations in intracellular Ca2+ are involved in many neurodegenerative diseases including Alzheimer's disease (AD), Parkinson’s disease, and Huntington’s disease.  Ca2+ dyshomeostasis is an early event in the AD timeline. Ca2+ dysregulation in AD comes as a result of hyperactivity of Ca2+ channels in the plasma membrane and intracellular compartments. It does not seem to be restricted to neurons, but rather is a global phenomenon that affects many cell types in the brain.
  • 1.6K
  • 25 Dec 2020
Topic Review
Protease-Activated Receptors
Protease-activated receptors (PARs) are a class of G protein-coupled receptors (GPCRs) with a unique mechanism of activation, prompted by a proteolytic cleavage in their N-terminal domain that uncovers a tethered ligand, which binds and stimulates the same receptor.
  • 1.6K
  • 20 Feb 2021
Topic Review
Primary Cilium and Stem Cell
Signaling networks guide stem cells during their lineage specification and terminal differentiation. Primary cilium, an antenna-like protrusion, directly or indirectly plays a significant role in this guidance. All stem cells characterized so far have primary cilia. They serve as entry- or check-points for various signaling events by controlling the signal transduction and stability. Thus, defects in the primary cilia formation or dynamics cause developmental and health problems, including but not limited to obesity, cardiovascular and renal anomalies, hearing and vision loss, and even cancers.
  • 1.6K
  • 28 Jun 2021
Topic Review
Blockchain Technology in Aviation
The aircraft maintenance sector has high complexity with many intermediaries, multiple actors sharing data and needs to ensure high data security. The implementation of Blockchain technology can significantly contribute to the aforementioned characteristics. 
  • 1.6K
  • 09 Mar 2022
Topic Review
Challenges Faced by the Disabled Population
Despite the destination’s great potential in terms of attractions and recreational facilities, there are measurable deficits in accessible tourism. If tourism operators want to take advantage of the rising tide of accessible tourism to attract more tourists and have a competitive advantage in this growing niche market, they should improve infrastructure facilities to meet the needs of disabled tourists.
  • 1.6K
  • 06 May 2022
Topic Review
AI Methods for Intelligent Sensing
Smart sensors complement and enhance the capabilities of human beings and have been widely embraced in numerous application areas. Artificial intelligence (AI) has made astounding growth in domains of natural language processing, machine learning (ML), and computer vision. The methods based on AI enable a computer to learn and monitor activities by sensing the source of information in a real-time environment. The combination of these two technologies provides a promising solution in intelligent sensing. 
  • 1.6K
  • 10 Jun 2022
Topic Review
Digital Mathematics Textbooks
Digital mathematics textbooks differ from traditional printed textbooks in, among other things, their dynamic structural elements, representing a potential that traditional textbooks cannot fulfil. Notably, dynamic structural elements, i.e., multimodal representations of mathematics, could be of particular importance for learning, which is why the scientific interest in digital mathematics textbooks has increased and many digital textbooks have been developed.
  • 1.6K
  • 17 Jun 2022
Topic Review
Flaxseed Gum
FG, also known as flaxseed mucilage, is present in the outer layer of the seed coat, and its content in the whole seed ranges between 3.5–15.0%, depending on the flax variety and the planting area. The extraction method and its parameters determine the yield, purity, and properties of FG. For instance, the temperature of extraction is an essential factor affecting the chemical composition, functional properties and biological activities. Functional properties of FG can also be determined by the processing after extraction, for instance, by drying. Thus, the applied extraction method and further processing are the key factors for obtaining FG with the optimal properties according to subsequent use.
  • 1.6K
  • 17 Aug 2022
Topic Review
Timeline of Tuberculosis
This is a timeline of tuberculosis, describing especially major discoveries, advances in treatment and major organizations.
  • 1.6K
  • 23 Nov 2022
Topic Review
Construction of Arch Structure Model
The application of the arch structure model focuses on the prediction and prevention of mining pressure and surface subsidence, and there are relatively few means to actively regulate overburden arch.
  • 1.6K
  • 29 Nov 2022
Topic Review
Industry 4.0 and Lean Six Sigma Integration
In recent years, Industry 4.0 (I4.0) has been a recurrent theme in the literature on Lean Six Sigma (LSS), given the synergies that can arise from their combination. However, several factors can affect the integration of I4.0 and LSS in practice. This article presents a systematic literature review of the barriers to integration and the critical success factors (i.e., enablers) involved in this process.
  • 1.6K
  • 28 Nov 2022
Topic Review
Successful Aging
Successful aging (American English) or successful ageing (British English) refers to physical, mental and social well-being in older age. The concept of successful aging can be traced back to the 1950s, and was popularized in the 1980s. It reflects changing view on aging in Western countries, where a stigma associated with old age (see ageism) has led to considering older people as a burden on society. Consequently, in the past most of the scientists have been focusing on negative aspects of aging or preventing the decline of youth. Research on successful aging, however, acknowledges the fact that there is a growing number of older adults functioning at a high level and contributing to the society. Scientists working in this area seek to define what differentiates successful from usual aging in order to design effective strategies and medical interventions to protect health and well-being from aging. Some researchers in aging studies are critical of the very term "successful aging" as it implies failure on the part of those who do not meet arbitrary criteria derived from neoliberal and/or biomedical definitions.
  • 1.6K
  • 30 Nov 2022
Topic Review
Machine Learning in Gastroenterology/Endoscopy
Over time, machine learning (ML), a component of artificial intelligence (AI), has been implemented in a variety of medical specialties, such as radiology, pathology, gastroenterology, neurology, obstetrics and gynecology, ophthalmology, and orthopedics, with the goal of improving the quality of healthcare and medical diagnosis. In clinical gastroenterology practice, due to technological developments, estimates show that AI could have the ability to create a predictive model; for instance, it could develop an ML model that can stratify the risk in patients with upper gastrointestinal bleeding, establish the existence of a specific gastrointestinal disease, define the best treatment, and offer prognosis and prediction of the therapeutic response. In this context, by applying ML or deep learning (DL) (AI using neural networks), clinical management in gastroenterology can begin to focus on more personalized treatment centered on the patient and based on making the best individual decisions, instead of relying mostly on guidelines developed for a specific condition. Moreover, the goal of implementing these AI-based algorithms is to increase the possibility of diagnosing a gastrointestinal disease at early stage or the ability to predict the development of a particular condition in advance. Because both AI and gastroenterology encompass many subdomains, the interaction between them might take on various forms. In recent years, we have witnessed a large explosion of research in attempts to improve various fields of gastroenterology, such as endoscopy, hepatology, inflammatory bowel diseases, and many others, with the aid of ML. We also note that, because of the requirement to diagnose more patients with gastrointestinal cancers at an early stage of the disease, which is associated with curative treatment and better prognosis, many studies were developed to address improvement of the detection of these tumors with the aid of AI. The term ML, introduced for the first time in 1959 by Arthur Samuel from the IBM company, refers to an IT domain whereby a computer system can acquire the ability to “learn” by using data without specific programming and can therefore develop a predictive mathematical algorithm based on input data, using recognition of “features”. The ML “model” is subsequently able to adapt to new situations in which it becomes able to predict and make decisions.
  • 1.6K
  • 02 Feb 2021
Topic Review
Heme Oxgenase-1 in cytoprotection
Heme oxygenase catalyzes the rate-limiting step in heme degradation in order to generate biliverdin, carbon monoxide (CO), and iron. The inducible form of the enzyme, heme oxygenase-1 (HO-1), exerts a central role in cellular protection. The substrate, heme, is a potent pro-oxidant that can accelerate inflammatory injury and promote cell death. HO-1 has been implicated as a key mediator of inflammatory cell and tissue injury, as validated in preclinical models of acute lung injury and sepsis. A large body of work has also implicated HO-1 as a cytoprotective molecule against various forms of cell death, including necrosis, apoptosis and newly recognized regulated cell death (RCD) programs such as necroptosis, pyroptosis, and ferroptosis. While the antiapoptotic potential of HO-1 and its reaction product CO in apoptosis regulation has been extensively characterized, relatively fewer studies have explored the regulatory role of HO-1 in other forms of necrotic and inflammatory RCD (i.e., pyroptosis, necroptosis and ferroptosis). HO-1 may provide anti-inflammatory protection in necroptosis or pyroptosis. In contrast, in ferroptosis, HO-1 may play a pro-death role via enhancing iron release. HO-1 has also been implicated in co-regulation of autophagy, a cellular homeostatic program for catabolic recycling of proteins and organelles. While autophagy is primarily associated with cell survival, its occurrence can coincide with RCD programs. 
  • 1.6K
  • 28 Apr 2021
Topic Review
Physical and Chemical Modification for Hemodialysis Membranes
Despite significant research efforts, hemodialysis patients have poor survival rates and low quality of life. Ultrafiltration (UF) membranes are the core of hemodialysis treatment, acting as a barrier for metabolic waste removal and supplying vital nutrients. So, developing a durable and suitable membrane that may be employed for therapeutic purposes is crucial. Surface modificationis a useful solution to boostmembrane characteristics like roughness, charge neutrality, wettability, hemocompatibility, and functionality, which are important in dialysis efficiency. The modification techniques can be classified as follows: (i) physical modification techniques (thermal treatment, polishing and grinding, blending, and coating), (ii) chemical modification (chemical methods, ozone treatment, ultraviolet-induced grafting, plasma treatment, high energy radiation, and enzymatic treatment); and (iii) combination methods (physicochemical). Despite the fact that each strategy has its own set of benefits and drawbacks, all of these methods yielded noteworthy outcomes, even if quantifying the enhanced performance is difficult. A hemodialysis membrane with outstanding hydrophilicity and hemocompatibility can be achieved by employing the right surface modification and immobilization technique. Modified membranes pave the way for more advancement in hemodialysis membrane hemocompatibility.
  • 1.6K
  • 09 Nov 2022
Topic Review
Sarcoidosis
Sarcoidosis is a multisystem granulomatous disease with nonspecific clinical manifestations that commonly a ects the pulmonary system and other organs including the eyes, skin, liver, spleen, and lymph nodes. Sarcoidosis usually presents with persistent dry cough, eye and skin manifestations, weight loss, fatigue, night sweats, and erythema nodosum.
  • 1.6K
  • 28 Oct 2020
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