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Storage pests, particularly bruchids, are major biotic constraints causing significant storage losses in pulses. Conventional control methods relying on insecticides and fumigants often lead to food contamination due to toxic pesticide residues and a rapid decline in seed germination. In this investigation, through green nano-technological application, a promising and sustainable alternative for pest management is developed. Silver and copper nanoparticles were synthesized through ocimum leaf extract. The characterization of silver and copper nanoparticles was carried out by UV-spectroscopy, particle size analyzer, scanning electron microscopy, X-ray diffraction, and Fourier-transform infrared. Both the nanoparticles were spherical and crystalline in nature. Greengram seeds were primed with standardized silver and copper nanoparticles at different concentrations (1000, 1500, and 2000 ppm) and compared with castor-treated, deltamethrin-treated, and untreated control seeds for seed quality, growth, and yield. After one month of storage, all the pulse beetles released in different treatments exhibited 100 % mortality, whereas in control, the insects multiplied. At the end of nine months, the control seeds had shown 72 % damage and 39.67 % germination. In contrast, silver nanoparticles at 1000 ppm showed no seed damage and achieved 81.67 % germination, which was on par with copper nanoparticles at 1000 ppm with 79.33 % germination. Seed priming of silver and copper nanoparticles at 1000 ppm also demonstrated superior performance in all the seed quality and biochemical parameters (alpha amylase and catalase) throughout the storage period. Whereas, in the greenhouse experiment, enhanced growth (35.96 cm, 46.48 cm, and 53.00 cm at 30, 60 DAS, and at harvest, respectively) and yield per plant (3.75 g) were significantly higher in plants that were given foliar application with silver nanoparticles at 1000 ppm. Furthermore, foliar application of these nanoparticles at all concentrations (1000, 1500, and 2000 ppm) did not exhibit any adverse effects on soil microbial organisms, as assessed by dehydrogenase enzyme activity. Hence, this research highlights the potential use of silver and copper nanoparticles at 1000 ppm as effective tools for storage pest management and contributing to improved agricultural productivity and sustainability.

In the present study, Lactobacillus plantarum-HDS27 strain isolated from bovine milk was used for the enhanced production of riboflavin. Production medium was optimized by one factor at a time with different parameters. Statistical optimization by Response surface methodology (RSM), central composite design was used to optimize variables such as pH, temperature, glucose, and yeast extract. The present study reveals the maximum riboflavin production by one factor at a time was obtained under the culture conditions; glucose, yeast extract, pH 6, the temperature at 40°C, and 3% of inoculum size. In RSM, analysis of variance for the responses was calculated. Among the tested variables, pH, yeast extract, and temperature showed significant impact on riboflavin production. Maximum amount of yeast extract in production medium resulted in increased riboflavin production. The riboflavin production after 24 h with the optimal condition was found to be 12.33 mg/L. It was found proximate to the expected value (12.29 mg/L) achieved by the RSM model. The yield of riboflavin was increased to 3.66-fold after 24 h with the optimized parameters. The current research, emphasizes that the Lactobacillus plantarum–HDS27 could be an excellent strain for the large-scale industrial production of riboflavin.

Character association studies with six field biometrics and nine grain quality traits recorded from 60 rice genotypes revealed that single plant yield was significantly correlated with number of filled grains per panicle (r = 0.516), and positively correlated with days to 50% flowering (r = 0.144), plant height (r = 0.129) and panicle length (r = 0.134). Kernel length is positively correlated with gel consistency (r = 0.006). Amylose content has positive correlation with gelatinization temperature (r = 0.215) and gel consistency (r = 0.014). Head rice recovery manifested good relationship with kernel breadth (r = 0.074) and milling (r = 0.466). Path coefficient analysis manifested that the traits number of filled grains/panicle (0.912), number of panicles/plant (0.582), and 1000-grain weight (0.404) had high positive direct effects on grain yield per plant and also kernel length (0.690) and milling percentage (0.577) had high direct effect on head rice recovery. Hence, these traits were regarded as significant attributes in devising selection criteria for attaining yield objectives.

The distributed data warehouse is mainly based on how the data are being processed and distinguish between dynamic and physically distributed systems. Finding the relevant information from a huge database is a very laborious process and consumes more time. This conflict is addressed using a query scheduling process in the distributed data warehouse is very compact to accomplish these tasks within a few seconds. In this paper, Dynamic Fault Tolerant Dependency Scheduling (DFTDS) algorithm has been proposed to schedule the queries based on their dependency and it automatically allocates the resources by checking the status of the virtual machine based on its acknowledgment. That is, reply to client/user queries in distributed data warehouse systems. Demonstration of the proposed DFTDS algorithm shows a significant reduction in query processing time and memory utilization compared to existing algorithms.

With the tremendous growth of the usage of computers over network and development in application running on various platform captures the attention toward network security. This paradigm exploits security vulnerabilities on all computer systems that are technically difficult and expensive to solve. Hence intrusion is used as a key to compromise the integrity, availability and confidentiality of a computer resource. The Intrusion Detection System (IDS) plays a vital role in detecting anomalies and attacks in the network. In this work, data mining concept is integrated with an IDS to identify the relevant, hidden data of interest for the user effectively and with less execution time. Four issues such as Classification of Data, High Level of Human Interaction, Lack of Labeled Data, and Effectiveness of Distributed Denial of Service Attack are being solved using the proposed algorithms like EDADT algorithm, Hybrid IDS model, Semi-Supervised Approach and Varying HOPERAA Algorithm respectively. Our proposed algorithm has been tested using KDD Cup dataset. All the proposed algorithm shows better accuracy and reduced false alarm rate when compared with existing algorithms.

The RFID technology has penetrated the healthcare sector due to its increased functionality, low cost, high reliability, and easy-to-use capabilities. It is being deployed for various applications and the data captured by RFID readers increase according to timestamp resulting in an enormous volume of data duplication, false positive, and false negative. The dirty data stream generated by the RFID readers is one of the main factors limiting the widespread adoption of RFID technology. In order to provide reliable data to RFID application, it is necessary to clean the collected data and this should be done in an effective manner before they are subjected to warehousing. The existing approaches to deal with anomalies are physical, middleware, and deferred approach. The shortcomings of existing approaches are analyzed and found that robust RFID system can be built by integrating the middleware and deferred approach. Our proposed algorithms based on hybrid approach are tested in the healthcare environment which predicts false positive, false negative, and redundant data. In this paper, healthcare environment is simulated using RFID and the data observed by RFID reader consist of anomalies false positive, false negative, and duplication. Experimental evaluation shows that our cleansing methods remove errors in RFID data more accurately and efficiently. Thus, with the aid of the planned data cleaning technique, we can bring down the healthcare costs, optimize business processes, streamline patient identification processes, and improve patient safety.

In the title molecule, C10H14N2S, the n-butyl chain assumes a trans zigzag conformation. The dihedral angle between the pyridine ring and the thioamide plane is 23.38 (8)°. The molecules in the crystal structure are linked by an intermolecular N—H...N hydrogen bond.

A study was under taken during January, 2022-March, 2023 at the Agricultural Research Station, Perumallapalle, Chittoor district, Andhra Pradesh, India to evaluate fifteen sugarcane clones including early and mid-late to identify clones with higher shelf life and tolerance to postharvest deterioration and delayed crop harvests. Juice quality parameters determined at 10th, 11th, 12th and 13thmonths of harvest/age and at different time lag intervals of staling (0, 24, 48, and 72 hours showed a linear increase in cane weight reduction regardless of crop age at harvest and staling periods after harvest. Juice extraction (%) also decreased over staling period and delayed crop harvests. Increase in cane weight loss and reduction in juice extraction was significant with increase in staling period. A progressive increase in brix (%), sucrose, purity and CCS in juice was observed up to 11th in early clones and up to 12th months of crop age in mid-late clones and thereafter decreased. Per cent brix (%) showed a linear trend at all time lag intervals of staling regardless of the clones studied. Brix (%) in juice progressively increased from 0 to 72 hours of staling. Sucrose, purity and CCS per cent declined at 48 hrs in early group and at 72 hrs in mid-late clones after harvest. Reduction in sucrose, purity and CCS was significant with increased staling periods. Among the clones 2003V46 (TC), 2016T 7, COA14328, COA20324, COA19322 and 2009V89 were found to be relatively more tolerant to delayed harvest and post-harvest deterioration compared to the popular standard CO86032 and other test clones studied. All these clones have also recorded higher cane yield and CCS yield at harvest. [ABSTRACT FROM AUTHOR]