Knowledge Management Skills for 21st Century Library Professionals in India: A Study

In any kind of educational institute and organization, libraries are playing a crucial role. For the development of library services, skillful library professionals are indispensable. Without knowledge management skills, no one can provide essential services to the users. “Library is a growing organism” by S.R. Ranganathan (1931), based on his law, as library professionals have to adopt futuristic skills for better user services. The study investigates knowledge management skills and the chief strengths of library and information science professionals in India. For this study, data collected from the Institute of National Importance and Central Universities around India. The principal aim of this study is to understand the current scenario and data literacy skills of library professionals. The study found that 98.7% of respondents qualified for library and information science postgraduate and above. They highlighted the very important skills respondents are digital literacy skills (65.9%), soft skills (70%), organization skills (67.7%), leadership skills (70%), and English language skills (52.4%)

Charybdotoxin binding in the I(Ks) pore demonstrates two MinK subunits in each channel complex.

I(Ks) voltage-gated K(+) channels contain four pore-forming KCNQ1 subunits and MinK accessory subunits in a number that has been controversial. Here, I(Ks) channels assembled naturally by monomer subunits are compared to those with linked subunits that force defined stoichiometries. Two strategies that exploit charybdotoxin (CTX)-sensitive subunit variants are applied. First, CTX on rate, off rate, and equilibrium affinity are found to be the same for channels of monomers and those with a fixed 2:4 MinK:KCNQ1 valence. Second, 3H-CTX and an antibody are used to directly quantify channels and MinK subunits, respectively, showing 1.97 +/- 0.07 MinK per I(Ks) channel. Additional MinK subunits do not enter channels of monomeric subunits or those with fixed 2:4 valence. We conclude that two MinK subunits are necessary, sufficient, and the norm in I(Ks) channels. This stoichiometry is expected for other K(+) channels that contain MinK or MinK-related peptides (MiRPs)

DEVELOPMENT OF ANTIOXIDANT RICH INSTANT BISCUIT MIX

Objective: Bakery products are important processed foods, commonly consumed across the world. Bakery products have become essential and significant components of the dietary profile of the people. Among that biscuits are the fast growing bakery products in India, because of consumer demand for convenient, safety, low cast, shelf life, verity taste and flavor but those are lack in nutrients and antioxidants. Methods: To increase the nutrient content in biscuit mix, Wheat flour was added with maida and sugar at three variations (V1-50:50, V2-60:40, V3-70:30) and subjected to organoleptic evaluation. Antioxidant mix (Poshak Pro mix) was formulated using antioxidant rich foods like Finger millet, Black Gram Dhal, Spinach, Carrot, Guava and Sesame seeds. These were processed and formulated into three mixes (Finger millet based mix, Black Gram Dhal based mix and Carrot based mix) and subjected to DPPH radical scavenging test. The mix having highest activity was selected and incorporated into wheat flour biscuit mix at three variations (V1-20:80, V2-3:70, V3-40:60) and subjected to organoleptic evaluation. The accepted variation was analyzed for nutrient and shelf life at polythene and aluminum foil covers. Results: Among the three wheat flour: Maida variations, V3-70:30 was selected in organoleptic evaluation. In DPPH radical scavenging test Finger Milled based mix was selected and incorporated into selected wheat flour biscuit mix at three variations. V1 (20:80) was selected and nutrients analysis showed that it is rich in β-carotene. In shelf life study, both (polythene and aluminum foil) covers were accepted for packaging. Conclusion: The study proved that local commodities rich in antioxidants can be utilized effectively and economically to improve the health status of the people

An Analysis of DDoS Attack Detection and Mitigation Using Machine Learning System

Nowadays, many companies and/or governments require a secure system and/or an accurate intrusion detection system (IDS) to defend their system service and the user’s private information. In network security, developing an accurate discovery system for distributed denial of service (DDos) attacks is one of challenging tasks. DDos attacks jam the network service of the target using multiple bots hijacked by crackers and send frequent packets to the target server. Servers of many companies and/or governments have been victims of the attacks. In such a command by multiple bots from another network and then leave the bots quickly after command execute. The proposed strategy is to develop an intelligent detection system for DDos attacks by detecting patterns of DDos attacks using system packet analysis and exploiting machine learning techniques to study the patterns of DDos attacks. In this study, we analysed large numbers of network packets provided by the Center for applied internet data analysis and Applied the detection system using an Ad-hoc On-demand distance Vector (AODV) and Adaptive information dissemination (AID) protocols. The discovery system is accurate in detecting DDos