The most important resources for an individual as wells as for any organizations is data. Taking into account it is important to secure the data. Applications are often the source of most database security threats and much can be done within a database to promote effective security. As we know, the info has been one among the foremost most popular selections of the hackers. the explanation behind why the databases ar targeted thus ofttimes as they're the center of any organizations. It is observed that organizations are also not protecting these crucial assets well enough. They find it difficult how and what is needed to secure a database and who within the organization is responsible. Therefore, Data Base Management System approach is a challenging task and database security threats is one of the important aspects that organizations should take special care in order to mitigate them in order to run the activities of the organizations efficiently. A brand new report by Dark Reading stated that there are varieties of key security failures that cybercriminals make the most of data breaches. The database developers, administrators, staff members of the organizations who create the environment necessary for attacks to gain access to data. There are many vital ways that are usually accustomed to steal knowledge directly from database files, from database backup files, by intercepting the database traffic and using unauthorized access. Database Security is not only the sole responsibility of a database administrator (DBAs). There are several components involved to secure the database. The security of an organization’s data is the responsibility of the entire organization, from executive management to operations and IT, from network and security to compliance, legal, and risk personnel. The aim of this study is to review what are the various information Security threats, vulnerabilities and security challenge that require to be thought-about still as new technological tools a way to mitigate information security threats.

The secret of management in the state of crisis is to avert the bad from getting worse. The COVID-19 pandemic has led to a swift swing in the workforce behavioral dynamics. The onus is on management to bring together work methods and policies that motivate and nurture the emotive links between employees and their workplaces. Although, many companies already had a work from home in place, managing a large scale of remote employees in such urgency can be overwhelming. In the pandemic situation, it has become imperative for a manager, leading the workforce to make critical business decisions ahead any adversity concerned with them. Today, the employees are compelled to work off-site in this scenario, the managers of different organization ought to link the organization and the workforce through automatic contact tracing based on a precision platform to create a near real-time view of their productivity. It will mitigate negative outcomes resulting due to the present situation of adversity. The rapid advance technology tools like big data, Blockchain and artificial intelligence that enable and facilitate remote working are reshaping what the workplace will look like. The COVID pandemic crisis reveals immediate infrastructure gaps, while also accelerating the timeline for tackling the concerns and constraints associated with productivity impacts. In longer-term, companies are more likely to require more preparation and practice in transparent knowledge sharing and decentralization of authority meanwhile, encouraging active experimentation as well as innovations in diverse perspectives.

The compound 4-amino-3-methyl-1H-1,2,4-triazole-5-thioneC₃H₆N₄S[LH],crystallizes in the monoclinic space group P21/C, with cell parameter a=8.872(4)A0,b=9.826(4)A0,c=6.548(3)A0,V=570.9(4)A03 and Z=4.The structure was solved by direct methods using SAELXS-97 and refined using SAELXS-97.The final residual factor is R1=0.0369 for 1004 reflections and 83 parameters. The complexes of the ligand are synthesized in their molar ratio 1:3. These complexes have been characterized by elemental analyses, molar conductance and spectroscopic stydies. The antibacterial activity of ligand and their metal complexes against various fungi has been investigated.

Internet of Things (IoT) refers to all the devices which are present in the world and connected to the Internet. The aim of IoT is to collect and share data between two devices using the Internet. The gathered data thus helps in further improvement of the system design. It is making tremendous progress in the past few years, and has proved itself very useful in realization of many low cost real life applications. It is going to bring many disruptions in computer network communication and data analytics in the coming years.

This paper introduces a low cost IoT model to precisely monitor the temperature and humidity of the server rack in the data centre. As data centers have huge servers, it is necessary to monitor and manage the temperature & humidity from the closest proximity for better accuracy and precision. Our system is configured using the DHT 11 (Digital Humidity and Temperature) sensor, Arduino Uno development board and ethernet shield on the hardware side with embedded C code. The test setup is connected to the network, the acquired data is uploaded to the cloud (Thingspeak platform, a mathworks family product) .The logged data, and graph can be viewed seamlessly on the Thingspeak platform. This paper summarizes the retrieval, recording, and processing of the acquired temperature and humidity data of the data center using a low cost temperature and humidity sensor. As the proposed model should be in compliance with the security standards of the work center, we preferred the communication with Ethernet shield over Wi-Fi network for live monitoring from anywhere around the world.

The paper starts with a brief introduction of IoT technology and then presents a glimpse of the components used along with its technical specifications. Moving forward, the paper provide the description of test setup, introduction of the cloud based real time database followed by the working model which gives a clear idea of how the system works. In future, this system can be interfaced with commercial Air Conditioners (ACs) for automatic temperature and humidity control, thus doing away with the requirement of precision ACs for Data Center applications.

Ground water contamination has become very important issue of concern these days. People of Bihar mostly use ground water sources for household and agricultural needs. In Mohuddinagar block people are dependent on agriculture for their livelihoods and groundwater was the major source. An inclusive assessment of ground water resources was done in the study area from 12 station points in the month of November,2021. The study was done to understand hydrogeochemical facies of groundwater along with the suitability of groundwater in household and for agricultural needs. The physio chemical parameters of water including EC (Electrical conductivity), TDS (Total dissolved solids), pH, major cations and and anions was investigated. The outcomes were compared with the Bureau of Indian Standards-2012. Among heavy metals Arsenic and Iron were tested in water samples and the map showing the distribution of these heavy metals was created. The analysis of samples was done based upon APHA standard methods. Piper trilinear diagram and Chadha’s plot represented different hydrogeochemical facies of the groundwater. The SAR, Na% and RSC values were calculated to assess its suitability for agricultural purposes. Most of the statistical operations were done using MS-EXCEL software. Except few all the major ions were found to be present within the prescribed limits of Bureau of Indian Standards-2012. As and Fe concentration at some sampling locations was found to be beyond the permissible limits. In the study area Mg²⁺ - Ca²⁺ − HCO₃^- and Mg²⁺ -HCO₃^—Cl^- were dominant hydro chemical facies. For agriculture purpose 50% of the water samples had high salinity and it needs to be managed before use in irrigation, it is represented by US salinity diagram. Wilcox plot represented the relation between Na% and EC and it was concluded that groundwater of study area falls under following categories:

• Excellent to good
• Good to permissible quality and so it can be used for irrigation purposes.

Because of the exponential growth of online information, it is becoming impossible to decipher the true from the false. Thus this causes to the problem of fake news. This research considers previous methods as well as current methods for fake news detection in textual formats while detailing why and how fake news exists in the first place. However On the other hand, social media provides an ideal place to the creation and spread of fake news. Fake news can become extremely influential and has the ability to spread exceedingly very fast. With the increment of people using social media, they are being exposed to new information and stories every day, automated classification of a text article as misinformation or disinformation is a challenging task. Even an expert in a particular domain has to explore multiple aspects before giving a verdict on the truthfulness of an article. Various machine learning and deep learning methods are available. This paper provides survey of various fake news detection methods.

The aim of modeling COVID-19 epidemic is to gain an insight into the various physical processes that occur in the transmission of diseases. MATLAB is very useful scientific tool to evaluate differential equation and graphically analysis of epidemic model. The various factors of the disease transmission and recovery rate can be evaluated with the help of MATLAB to numerically evaluated differential equations epidemic model. In our model we will also attempt to find the time range of disease that is the time required to epidemic die out which is a very important factor in eradicating the epidemic. Our model also forecasted the number of people effective from the epidemic.

The superfine powder of black pepper at nanometeric scale was synthesized using High Energy Ball Milling equipment. Current research study shows alteration in crystal structure and surface morphology due to grinding at different milling time. The Electron microscopy studies revealed that the superfine Nano powder is less than 50 nm in size and surface structure was found to change. The microstructure accessibility clearly specifies tiny nanoparticles development, which is observed as an agglomerated structure. FTIR and UV-vis-NIR spectrum shows that the internal covalent nature of materials did not change due to milling, but surface reactivity was found changed, which was further confirmed by Scanning Electron Microscope. The optical properties were highlighted by the observed changes in the colour which has changed from dark brown to light brown confirming the changes in properties in pretext to the crystal structure of the synthesized black pepper nano powder. The effect of the prepared Nano formulations was tested on the cell health index of the isolated mice splenocytes, which was done by using MTT assay. The result of the assay showcased reduced cell toxicity and increased cell viability due to change in crystal structure of superfine powder. The present research reveals that nanometric food particles can remarkably enhance the physicochemical properties, which are useful for its applications in agriculture, food, Biomedical science as new functional food materials.

The present study aims towards the Eco friendly (Green) Synthesis of gold nano particle (AuNPs) and study their Pharmacological activity. Gold has good ductlity, moleculer recognition properties and good biocompatibility. At present gold is being used in many fields. GNP physical and chemincal properties vary with their size in nanometers. The surface area of a nanosized gold surface has a special effect. Therefore gold nanoparticle can directly and indirectly, give rise to different biological activities. The sulfided Gold substances have a strong Chemical reactivity and are easy to combine with Sulfhydryl groups, hence nanogold is often used in biomedical testing, disease, diagnosis and gene detection. Nanogold binds to proteins as antibodies, enzymes or cytokines. In fact, Scientist use nonogold to bind Special antibodies, as a tool for targeting Cancer cells. Gold name particles are also directly cytotoxic to cancer cells. For diseases caused by inflammation and oxidative damage, AuNPs also have antioxidant and anti-inflamatory effects. Based on these unique properties, AuNPs have become the most widely studied metal nanomaterials. Many recent Studies have further demonstrated that AuNPS are beneficial for humans, due to their functional Pharmacological properties in variety of diseases. In this study, we report a novel method of gold nonoparticle (AuNPs) synthesis using aqueous extract of leaves of Aloe barbadensis miller (Aloe vera). The phytochemicals present in the plant extract (PE) act as an effective reducing and Capping agent to synthesize AuNPs. The use of PE for green sythesis are cost effective and eco-friendly. The synthetized AuNPs were Characterised by Specto photometry, X-ray diffraction (XRD) and Fourier transform infrared (FTIR) spectroscopy.The XRD patterns showed peaks at (111), (200), (220) which exhibited preferential orientation of the AuNPs as face Centred cubic crystal. FTIR measurements Confirmed the Coating of phonilic compounds on the AuNPs indicating a possible role of biomolecules for the Capping and efficient Stabilization of the AuNPs. UV- visible Spectra also showed peak at 540 nm & characteristics of AuNPS.

Our main intention to find the photonionization cross section (s) and asymmetry parameter (b) for photoelectron in the reaction hn + Xe(1s² 2s² 2p⁶ 3s² 3p⁶ 3d¹⁰ 4s² 4p⁶ 4d¹⁰ 5s² 5p⁶) ® Xe⁺(1s² 2s² 2p⁶ 3s² 3p⁶ 3d¹⁰ 4s² 4p⁶ 4d¹⁰ 5s² 5p⁵) + e^- employing the Russell-Saunders (R-S) coupling and j-j coupling schemes under Hartree-Fock (HF) wave function in the non-relativistic R-matrix and relativistic R-matrix (RR-matrix) methods for length and velocity forms for experimental observations. Computation is done in the range of experimental observations and compared with other predictions. Present result shows that that the independent particle model (IPM) completely fails.