Search

Carbohydrates are essential biomolecules with significant roles in chemistry, biology, and medicine. The "Emerging Trends in Glycoscience" issue highlights advancements in synthetic carbohydrate chemistry and their applications. It features 22 contributions, including reviews and original research, covering topics like molecular scaffolding, catalysis, and medicinal chemistry, providing insights into carbohydrate-based pharmacological developments. Our speakers: Prof. Xi Chen (University of California, Davis): Advances in Chemoenzymatic Synthesis of Sialosides Prof. Alexei Demchenko (Saint Louis University): From Stereocontrolled Glycosylation to Automated Chemical Synthesis

Carbohydrates are essential biomolecules with significant roles in chemistry, biology, and medicine. The "Emerging Trends in Glycoscience" issue highlights advancements in synthetic carbohydrate chemistry and their applications. It features 22 contributions, including reviews and original research, covering topics like molecular scaffolding, catalysis, and medicinal chemistry, providing insights into carbohydrate-based pharmacological developments. Our speakers: 1) Prof. Vito Ferro (University of Queensland): Exploiting the fluorine-directing effect to access rare L-hexoses. 2) Prof. Daisuke Takahashi (Keio University): Synthesis and immunological evaluation of oligosaccharide-protein conjugates for the development of a vaccine against avian pathogenic Escherichia coli O1.

Even the majority of nations nowadays struggle mightily to provide their people with clean drinking water. Therefore, there is pressure on the construction industries to discover substitute techniques for curing concrete. In the construction industry, self-curing concrete is a preferable solution for water conservation. Use of tiny fibres is one of the most well-liked and extensively applied solutions to this issue. It will improve the ductility of concrete elements and fill in any cracks that may occur in the material. In this present study, using Polyethylene glycol (PEG) 1% as admixture is used for self-curing of concrete along with that polypropylene fibre (PPF) 0.3% is used for arresting micro cracks which increases its structural integrity. Experimental investigations were carried by comparing conventional concrete with Self-curing concrete, Polypropylene fibre reinforced concrete and self-curing polypropylene reinforced concrete. Strength tests (1), which are conducted for seven days and for twenty-eight days, were compared. These tests include the Compression strength, Split Tensile Strength Test, Flexural Strength Test, Impact Test, and Durability test (2), which is conducted for twenty-eight days. The tests carried out are tests for water absorption. By this study we are finding in which type of concrete the properties are improved by combing the self-curing concrete to save water and incorporating fibres to arrest the cracks in concrete. [ABSTRACT FROM AUTHOR]

This project will use machine learning technologies, namely the XgBoost algorithm and Novel Random Forest, to find out which restaurant cuisines are the most delectable. The Parts and Methods: This inquiry is built around two algorithms: the XgBoost approach and the Novel Random Forest method. It goes through a total of 10 rounds. These computations were carried out using ClinCalc, with a significance level of α equal to 0.05 and a Gpower value of 0.8. The dataset used in this inquiry was obtained from Kaggle and contains 8,67,000 analyses in total. This database is used to find the best restaurants in terms of food quality; it comprises 51,000 rows and 17 columns. If you want to get the most accurate prediction of the best meals a restaurant has to offer, you should use the Novel Random Forest technique with 10 observations and the XgBoost algorithm with 10 observations. Consequently, compared to the XgBoost algorithm's mean accuracy of 76.08%, the Novel Random Forest approach achieves a far higher mark (63.35 percent). The numerical value of p = 0.004 (Independent Sample T-Test p < 0.05) indicates that there is a statistically significant difference between the two algorithms with respect to accuracy. But when looking at loss, the two groups are significantly different from one another. In studies attempting to forecast which restaurant cuisines will be most popular, the Novel Random Forest algorithm outperforms the XgBoost algorithm with respect to its mean accuracy. [ABSTRACT FROM AUTHOR]

SilkBot - This groundbreaking project endeavors to revolutionize silk production by employing a comprehensive approach that intricately addresses four pivotal components. First, a nuanced strategy involves the segregation of cocoons based on gender, optimizing the silk production process. Second, an innovative technique for the identification of diseased cocoons is implemented, curbing the spread of diseases and concurrently amplifying yield. Third, meticulous attention is dedicated to maintaining ideal temperature conditions, fostering accelerated cocoon growth. Lastly, a tailored approach to cocoon feeding is established, ensuring optimal conditions that cater specifically to the growth and requirements of the cocoons. This comprehensive initiative, spearheaded by a distinguished professor with a doctorate and numerous prestigious designations, seeks to elevate the quality of silk produced and set a new standard for silk production methodologies. [ABSTRACT FROM AUTHOR]

In this paper presents a broadband rectangular microstrip patch antenna and performance for wireless communication. In basic form, a microstrip antenna consists of a radiating patch on one side of dielectric substrate which has a ground plane on the other side. It is generally made conducting materials such as copper or gold and can make any possible shape. For radiator, rectangular patch is used widely. This rectangular microstrip patch antenna is designed for wireless communication application. It works at 2.4 GHz with gain 12 dB for outdoor areas. It is also having a wide angle of beam in radiation pattern. Several advantages of such broadband antenna, such as planar, small in size, low cost, easy fabrication, simple structure and easy practical application. The motive of this paper, to achieve lower return loss, higher gain and lower VSWR (Voltage standing wave ratio). From simulation, the return loss, gain and VSWR were found – 13.89 dB, 6.6 dBi and 1.5 respectively. In spite of this one main limitations antenna is their narrowband performance due to its resonance nature. The results obtain that microstrip patch antenna can be used as client antenna in computer and workable antenna for wireless. There is still back lobe in radiation of microstrip antenna. [ABSTRACT FROM AUTHOR]

Additive manufacturing, also known as 3D printing, has witnessed a significant surge in popularity and adoption owing to its numerous advantages, particularly its ability to provide high levels of customization. Unlike traditional manufacturing, the process involves creating a 3D object by building it layer by layer, where the material is removed or shaped based on the requirements. This innovative approach to manufacturing has found applications across diverse industries, such as automobiles, robotics, biomedicine, construction, and jewelry. One of its significant benefits is that it does not necessitate specialized tools or machinery, making it more accessible. However, despite its advantages, there are ongoing efforts to enhance additive manufacturing processes by reducing printing time, costs, and material wastage. This investigation focused on optimizing design parameters to achieve these objectives, specifically in the context of a robotic hand. The printing was done using the Aion 500 3D printer after slicing the 3D model (robotic hand) with Cube Pro software. A key strategy employed was to break down the automated hand assembly into manageable parts for printing instead of printing the entire body in one go. This approach minimized complexity and substantially reduced the need for support material during printing. The printing orientation was also optimized to reduce material wastage and the time required. By reducing printing time and material usage, the overall cost of the process was significantly decreased. The calculation considered the material and operating costs per hour multiplied by the printing time. The results of this investigation demonstrated that the optimized design orientation for the robotic arm led to a 30% reduction in printing time, an 18% reduction in material wastage during printing, and an overall cost reduction of 35%. In conclusion, this study showcases the potential for substantial improvements in additive manufacturing processes through strategic design optimization, ultimately enhancing efficiency and cost-effectiveness across various industries. [ABSTRACT FROM AUTHOR]