SECURELY DATA RETRIEVAL FOR DECENTRALIZED DISRUPTION TOLERANT MILITARY SYSTEMS

There are some parts of the military environment, such as battlefields or hostile areas. They may suffer from intermittent network connections. They have frequent partitions. Networking DTN networking technology is a truly simple solution. DTN network, tear-resistant; it allows wireless and military personnel to carry the interaction with each other. These devices reliably protect confidential information or use external storage node commands. In these network environments, DTN is a very successful technology. If there is no wired connection between the source and the target device, the intermediate node may need information from the source node for a long time until the connection is properly established. One of the complex methods is ABE. This is a property-based encryption that meets the requirements for secure data retrieval in DTN. This concept is a password strategy Cipher text-Policy ABE (CP-ABE). It provides an appropriate way to encrypt data. Encryption includes a set of attributes that need to be decrypted to decrypt the encrypted text. Therefore, many users can be allowed to decrypt different data according to the security polic

Correlation of non-traumatic neck pain with cervical angle and shoulder retractor power in adult clerical population

Background: A forward head posture (or chin poking) is perhaps the most common abnormality associated with NP and is commonly defined as the protrusion of the head in the sagittal plane so that the head is placed anterior to the trunk. Forward head posture can occur because of an anterior translation of the head, lower cervical flexion, or both, and it is claimed to be associated with an increase in upper-cervical extension. It is suggested that forward head posture leads to an increase in the compressive forces on the cervical apophyseal joints and posterior part of the vertebra and to changes in connective tissue length and strength (because of stretching of the anterior structures of the neck and shortening of the posterior muscles) resulting in pain. The objective of the study was to correlate neck pain with cervical angle and shoulder retractor power in non-traumatic neck pain patients. Methods: 50 clerical workers having non traumatic neck pain were included. Neck pain was measured on VAS, cervical angle was measured using photometric method and shoulder retractor power was measured.Results: VAS showed moderate positive correlation with cervical angles (0.63 and 0.72) and moderate negative correlation with shoulder retractor power (-0.59 and -0.71). A moderate positive correlation of craniocervical angle to VAS seen (0.66) whereas there was negative correlation with shoulder retractors I and II (-0.59 and -0.61) A positive correlation was seen between VAS and craniocervical angle but is moderately negative with shoulder retractors I (Rhomboids) and II (Middle trapezius) (0.78, 0.04, -0.69 and -0.64).Conclusion: A moderate increase in cranio vertebral & craniocervical angle showed plausible weakness in lower Trapezius and rhomboids among clerks` having Non-traumatic neck pain.

Dielectric relaxation of 1-nitropropane-ethanol mixtures using pico second time domain technique from 10 MHz to 50 GHz

Complex dielectric measurements in the frequency range 10 MHz - 50 GHz have been carried out in 1-nitropropane-ethanol mixtures with various concentrations by using a time domain reflectometry (TDR) at 283 K to 298 K. The dielectric relaxation response of 1-nitropropane-ethanol mixtures have been analyzed by using Debye model. The dielectric parameters such as static dielectric constant, relaxation time, excess permittivity, excess inverse relaxation time, Kirkwood correlation factor, enthalpy of activation and Gibbs free energy of activation have been determined for 1-nitropropane-ethanol system. The study confirms that the intermolecular interaction varies significantly with the increase in concentration of 1-nitropropane in ethanol

Life Cycle Assessment of Alternative Swine Management Practices

Life Cycle Assessments (LCAs) are quantitative analyses of complex systems for evaluation of impacts and risk associated with management decisions. LCAs can be effective tools for determining comparative advantages of management strategies across specific impact concern. In this study, life cycle assessments of pork production management alternatives was performed. The alternative management practices included in this study were production of entire males (boars), use of pens for gestation housing, immunocastration, production without growth promoting antimicrobials, production without growth promoting and preventive antimicrobials, and production without ractopamine. These LCAs evaluated the impact of each management strategy on greenhouse gas emission (GHG), cumulative energy use, and cumulative water use compared to the common baseline. Each alternative management strategy was simulated in Pig Production Environmental Footprint (PPEF) model by varying key variables. Life cycle inventory inputs for unit process created using PPEF model were used for SimaPro V7.3 (Pre’ Consultants, The Netherlands), an LCA modeling program. The functional unit for the analysis was one kilogram live weight at the farm gate. Influence of temperature on impact categories was evaluated by testing all alternate management practices at five temperature regimes. While, temperature influenced the changes to the impact categories, hypothesis testing was performed for alternative management practices for scenario at Wright County, Iowa that used typical meteorological year to control temperature inside the barn. LCAs of alternative management practices yielded a range of results. Increase in GHG emissions, cumulative energy use, and cumulative water use were observed for no growth promoting antimicrobials (1.559, 1.746, and 1.038% respectively), no growth promoting or preventive antimicrobials (17.321, 18.399, and 15.577% respectively), and removal of ractopamine (6.515, 4.867, and 7.518% respectively) scenarios. For entire males scenarios GHG emission and cumulative energy use increased by 2.092 and 3.748% but cumulative water use decreased by 2.294%. Lower GHG emissions, cumulative energy use, and cumulative water use were observed for gestation pens (0.973, 1.499, and 0.972% respectively) and immunocastration (2.385, 2.567, and 2.963% respectively) scenarios. These changes could be concluded with at least 75% confidence only for lower water consumption for entire males, decreased GHG emissions and water consumption for immunocastration, increased cumulative energy consumption for no growth promoting antimicrobials, increase in all three impact categories for no growth promoting or preventive antimicrobials, and increased GHG emissions, cumulative energy and cumulative water consumption for removal of ractopamine scenarios. A null hypothesis that changing management practices in the pork production in the US does not affect impact category metrics used for sustainability assessment was rejected using one tailed paired t-test at P \u3c 0.001. However, it is important to understand that these results are the product of simulation of pork production strategies combined with the unit process LCAs and considering possibilities of uncertainties in the model and life cycle inventory, these results should be interpreted with caution. Results of this study should be interpreted as general trend, rather than absolute numbers observed in this study

Big data academic and learning analytics: connecting the dots for academic excellence in higher education

Purpose Although big data analytics have great benefits for higher education institutions, due to lack of sufficient evidence on how big data analytics investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The current study proposes a big data academic and learning analytics enabled business value model to explain big data analytics potential benefits and business value which can be obtained by developing such analytics capabilities in HEIs. Design/methodology/approach The study examined 47 case descriptions from 26 HEIs to investigate the causal association between the big data analytics current and potential benefits and business value creation path for big data academic and learning analytics success in higher education institutions. Findings The pressure of compliance with all legal & regulatory requirements and competition had pushed higher education institutions hard to adopt BDA tools. However, the study found out that application of risk & security and predictive analytics to higher education fields is still in its infancy. Using this theoretical model, our results provide new insights to higher education administrators on ways to create big data analytics capabilities for higher education institutions transformation and suggest an empirical foundation that can lead to more thorough analysis of big data analytics implementation. Originality/value A distinctive theoretical contribution of this study is its conceptualization of understanding business value from big data analytics in the typical setting of higher education. The study provides HEIs with an all-inclusive understanding of big data analytics and gives insights on how it helps to transform HEIs. The new perspectives associated with the big data academic and learning analytics enabled business value model will contribute to future research in this area