Intergenerational Justice, Environmental Law, and Restorative Justice

Global climate change is well underway and its impacts are reaching far into the future. As these impacts progress, they present core questions of intergenerational justice. What does justice require of the current generation in tackling climate change to safeguard the wellbeing of future generations? How is the current generation to achieve a just relationship with those to come in light of the atrocious violations represented by global climate change? Taking the Juliana v. United States lawsuit as an example, I argue that we are not equipped to address the current climate crisis using existing environmental law, and therefore our obligations for future generations remain unmet. In that light, I demonstrate the unique contributions of the restorative justice framework to the discussion of intergenerational justice, and how restorative justice can address not only environmental crime, but also the harms that future generations will experience because of climate change

Augmenting The Cloud Environment Security Through Blockchain Based Hash Algorithms

Many techniques and algorithms are developed to enhance the security in the cloud environment. This helps the users to secure their server from malicious attacks. Hence the study and investigation of the performance enhanced security algorithms is a must demanded field in the research industry. When large number users using same server to store their information in cloud environment security is a must needed component to preserve the privacy and confidentiality of every individual user. This can be further strengthened by detecting the attacks in earlier stages and taking countermeasure to prevent the attack. Thus securing the data network without any leakage and loss of the information is a challenging task in the cloud environment. When the attacks or intrusion is detected after the occurrence there may be damage to the data in the form of data damage or theft. Hence it is necessary to predict and detect the attacks before the occurrence to protect the privacy and confidentiality of the user information. Keywords: Cloud security; Data privacy; Data confidentiality; Hash Algorithm; Substitutional encryptio

Free vibrational analysis of curved beam with uniform rectangular cross section

Curved beams are plays an important role in different field like house roofing, bridges, cranes, automobiles chasses etc. The study deals with the investigation of free vibrations of thick curved beams of SS316 and MS1018, both experimentally and using ANSYS. The curved beams having different R/t ratio were fabricated by using mild steel material. Three different boundary conditions are imposed for curved beams are as follows; free-free, clamped-free, clamped-clamped. For experimental investigation, magnetic transducer and VIBXpert are used to conduct experiment on different curved beams. The present work also aims at developing anumerical model for comparing ANSYS results with experimental results to analyze the frequencies and mode shapes corresponding to three different boundary conditions. The curved beam were modelled, meshed and analyzed using ANSYS. The first ten natural frequencies from finite element solutions are then compared with the experimental results. These effects also become more significant for higher modes. It is also observed that the finite element solutions are closely in agreement with experimental results

Factors that influence dairy cow preference to be indoors or at pasture

Many factors influence dairy cow preference to be at pasture. The studies reported here investigated whether herbage mass and previous experience affected preference. The first study offered a high (3000 ± 200 kg DM) vs. low (1800 ± 200 kg DM) mass at a near (38 m) vs. far (254 m) distance to 16 Holstein-Friesian dairy cows. Masses were offered at two distances to determine motivation. A continuously housed control group (n =16) was also compared to cows with free access to pasture. Video recordings and scan-sampling with five-minute intervals revealed that mass did not affect preference (P > 0.05), but the proportion of time cows spent at pasture during the day was more at the near distance (73.7% vs. 28.8%, P < 0.05). Night-time pasture use was not affected by distance. Continuously housed cows produced 6.7 kg less milk/day than free-access cows (P < 0.05). To determine the effect of previous experience, two groups of 12 Holstein-Friesian dairy heifers were reared with or without exposure to pasture and tested for their preference for pasture at 16 months in 2012. In 2013, when lactating, a similar study was conducted with the same treatment groups in addition to a group that was reared without exposure in their first grazing season, but with exposure in their second grazing season. Indoor-reared heifers spent more time indoors (82.6 vs. 55.6%, P 0.05). The original findings of this thesis show that herbage mass does not affect high yielding dairy cow preference for pasture, but pasture access can have a beneficial effect on production. Dairy cattle without experience of pasture show a decreased preference for it, but depending on age of exposure this changes over time

Optimizing UAS Mission Training Needs Through Tradespace Analysis

The Gray Eagle unmanned aircraft systems (UAS) training program requires the reallocation of multiple fully operational UAS from the operational environment to facilitate training. The UAS Project Management Office (PM UAS) is concerned that this practice lacks efficiency. This study sought to: (1) conduct a comprehensive analysis for resource optimization with respect to achieving essential training tasks across multiple UAS, (2) conduct comprehensive cost-benefit analysis to assess the value of allocating a full-time and Gray Eagle platforms to accomplish training versus part-task trainers, and (3) define and quantify measures of performance and effectiveness. To achieve these objectives, this study implemented a tradespace analysis methodology to produce a discrete-event simulation model and a resource optimization tool. The impacts of this project will result in substantial cost savings per fiscal year, allow the client to forecast the resource needs of the organization effectively, and allow for the proper allocation of these resources

Kinetics and Mechanism of Ruthenium (III) Catalysed Oxidiaton of L -Cystine by Hexacyanoferrate (III) in Alkaline Medium

ABSTRACT The kinetics and mechanism of ruthenium (III) catalysed oxidation of L-cystine by alkaline hexacyanoferrate (III) (HCF (III)) were studied spectrophotometrically at 30 o C. The reaction was first order dependent each on [HCF (III)] and [ruthenium (III)] and fractional order dependent on [alkali] and independent of [cystine]. The main product of oxidation was 2-oxoethyldisulfanylacetaldehyde and it was identified and confirmed by Mass spectral studies. Further, no effect of added reaction product was observed. A plausible mechanism was proposed involving [Ru(H 2 O) 5 OH] 2+ in the slow step. Thermodynamic parameters for the rate determining step, E a and ∆S # were computed using linear least squares method and are found to be 56.59 ± 0.58 kJ mol -1 and -132.60 ± 1.91 J K -1 mol -1 respectively

Pathological study of non-neoplastic skin lesions by punch biopsy

Background: Accurate diagnosis of skin disorders is of utmost importance as treatment is varied for different skin disorders presenting with the similar clinical lesions. Thus biopsy becomes inevitable in various skin disorders to confirm diagnosis and initiate treatment. The present study was to analyse the age and sex distribution of dermatological disorders presenting to Bhaskar Medical College & Hospital (tertiary care centre), Telangana and assess their histo-pathological profile. The objective was to analyse the histo-pathological profile of skin disorders presenting to the Dermatology department of the hospital, determine the age and sex distribution of various skin diseases and to classify the most common disorders into their subtypes and thus assess the most common subtypes prevalent in the surrounding community.Methods: This was a prospective study carried out at the department of Pathology and department of Dermatology, Bhaskar Medical College & Hospital for a period of three years. Necessary clinical details were obtained in a proforma, punch biopsy taken and sent to the histopathology section for final report. Formalin fixed, paraffin embedded sections were prepared & slides were routinely stained with H & E and special stains applied wherever necessary. Data obtained was tabulated and analysed.Results: Total number of cases analysed were 92. The age group of 21-30 years constituted 31.5% of the total cases. There was a male predominance. Hyperpigmented patch/plaque was the most common clinical lesion (36.9%). Lichenoid lesions was the most common histopathological diagnosis reported (26%) followed by Hansen’s disease(23.9%). Lichen planus was the most common histopathological subtype of lichenoid lesion s(58.3%).

Predicting Risk for Incidences of Homelessness Among Veterans of Iraq and Afghanistan

As communities report significant decreases in Veteran homelessness from 2010 – 2015, mitigation efforts have turned from reactive care and rehabilitation to prevention. With significant populations of contemporary Veterans transitioning to civilian life from operations in Iraq and Afghanistan, there is an opportunity to adapt transition and integration processes to preclude the risk of homelessness. This project attempts to curate priority intelligence requirements (PIR) aimed at identifying Veterans of Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn (OEF/OIF/OND) who are at risk of experiencing incidences of homelessness after ending service in the United States Army. Having developed effective PIR, this project attempts to deliver an immediate decision support tool for commanders, transition supervisors, and VA intake providers, as well as the framework to automate that information collection and risk analysis in the future. A decision support tool with five binary outputs (yes or no) was developed based on an existing corroborated model of risk factors for homelessness developed by the National Center for Homelessness Among Veterans. The tool easily represents individuals of higher risk of homelessness to a screener, with no added time or data collection burden. Further, a freeware script, compatible with all common data collection and storage systems, was developed to provide a baseline for further digital management efforts