A Complete Design of Smart Wind Farm Enriched with Novel Anemometer

Renewable energy are endless and environment friendly sources of power production and also it is considered as the alternative of non- sustainable energy sources like coal, fossil fuels and nuclear power. Wind Energy is accounted as one of the fast depleting, pollution free energy source compared to hydro power and thermal power. Internet of Things (IoT), which is a wireless, self configuring network of sensors powered with communication facility promotes the facility of remote monitoring and control activities in smarter way without human intervention. Likewise machine learning is another technological giant offers accurate prediction over the voluminous data and imposes intelligence to the machines kept for operation. The primary objective is to develop an IoT based wind farm module that enables installed capacity identification, structural monitoring and scope for power generation in that locality

The Medical Home and Care Coordination in Disaster Recovery: Hypothesis for Interventions and Research

In postdisaster settings, health care providers encounter secondary surges of unmet primary care and mental health needs that evolve throughout disaster recovery phases. Whatever a community’s predisaster adequacy of health care, postdisaster gaps are similar to those of any underserved region. We hypothesize that existing practice and evidence supporting medical homes and care coordination in primary care for the underserved provide a favorable model for improving health in disrupted communities. Elements of medical home services can be offered by local or temporary providers from outside the region, working out of mobile clinics early in disaster recovery. As repairs and reconstruction proceed, local services are restored over weeks or years. Throughout recovery, major tasks include identifying high-risk patients relative to the disaster and underlying health conditions, assisting displaced families as they transition through housing locations, and tracking their evolving access to health care and community services as they are restored. Postdisaster sources of financial assistance for the disaster-exposed population are often temporary and evolving, requiring up-to-date information to cover costs of care until stable services and insurance coverage are restored. Evidence to support disaster recovery health care improvement will require research funding and metrics on structures, processes, and outcomes of the disaster recovery medical home and care coordination, based on adaptation of standard validated methods to crisis environments

Air Watch: An Ample Design of Indoor Air Quality Monitoring System

The environment is getting contaminated drastically by introducing harmful materials into the atmosphere through the excessive activities of human in adding comfort and luxurious style in their living. The pollutant level in air has high impact of healthiness of the person inhaling it. Air not outside as well indoor is infected by various hazardous particles and gases.  To assess the air quality in the particular environment, it stimulates the need to monitor the hazardous elements listed. The internet of things (IoT) and artificial intelligence (AI) became the part of human life by adding smartness in their daily routines from facilitating control over appliances to own health factor as well automate operations. The primary objective of the effort is to identify the gases that cause air pollution, measure the air quality, and assess the level of pollution so that we can determine which gases cause pollution and at what place is the air being impacted. An IoT based indoor air quality monitoring system is built through incorporating carbon monoxide (CO), carbon dioxide (CO2), Ozone (O3), particulate matters (PM) and volatile organic components (VOC) sensors into Arduino board. The design ensures a complete air monitor, extends reliable service at low cost. A rule based system is developed to automate events upon the estimated air quality index (AQI) out of the sensory circuit

Post-Electrophoretic Identification of Oxidized Proteins

The oxidative modification of proteins has been shown to play a major role in a number of human diseases. However, the ability to identify specific proteins that are most susceptible to oxidative modifications is difficult. Separation of proteins using polyacrylamide gel electrophoresis (PAGE) offers the analytical potential for the recovery, amino acid sequencing, and identification of thousands of individual proteins from cells and tissues. We have developed a method to allow underivatized proteins to be electroblotted onto PVDF membranes before derivatization and staining. Since both the protein and oxidation proteins are quantifiable, the specific oxidation index of each protein can be determined. The optimal sequence and conditions for the staining process are (a) electrophoresis, (b) electroblotting onto PVDF membranes, (c) derivatization of carbonyls with 2,4-DNP, (d) immunostaining with anti DNP antibody, and (e) protein staining with colloidal gold

A psychosocial resilience curriculum provides the “missing piece” to boost adolescent physical health: A randomized controlled trial of Girls First in India

AbstractRationale and objectivesDespite a recent proliferation of interventions to improve health, education, and livelihoods for girls in low and middle income countries, psychosocial wellbeing has been neglected. This oversight is particularly problematic as attending to psychosocial development may be important not only for psychosocial but also physical wellbeing. This study examines the physical health effects of Girls First, a combined psychosocial (Girls First Resilience Curriculum [RC]) and adolescent physical health (Girls First Health Curriculum [HC]) intervention (RC + HC) versus its individual components (i.e., RC, HC) and a control group. We expected Girls First to improve physical health versus HC and controls.MethodsOver 3000 girls in 76 government middle schools in rural Bihar, India participated. Interventions were delivered through in-school peer-support groups, facilitated by pairs of local women. Girls were assessed before and after program participation on two primary outcomes (health knowledge and gender equality attitudes) and nine secondary outcomes (clean water behaviors, hand washing, menstrual hygiene, health communication, ability to get to a doctor when needed, substance use, nutrition, safety, vitality and functioning). Analyses included Difference-in-Difference Ordinary Least-Squares Regressions and F-tests for equality among conditions.ResultsGirls First significantly improved both primary and eight secondary outcomes (all except nutrition) versus controls. Additionally, Girls First demonstrated significantly greater effects, improving both primary and six secondary outcomes (clean water behaviors, hand washing, health communication, ability to get to a doctor, nutrition, safety) versus HC.ConclusionsThis study is among the first to assess the impact of a combined psychosocial and adolescent health program on physical health. We found that combining these curricula amplified effects achieved by either curriculum alone. These findings suggest that psychosocial wellbeing should receive much broader attention, not only from those interested in improving psychosocial outcomes but also from those interested in improving physical health outcomes

Enhancing transaction verification through pruned merkle tree in blockchain

A Merkle tree is a data structure employed within Blockchain technology to securely verify information or transactions within a vast data collection. This paper proposes a new and improved verification method, Pruned Merkle Tree (PMT), for hash nodes marching to the Merkle Root in a Minimal duration. PMT is a unique mechanism for verifying unpaired transactions in a block. The future influence of cryptocurrency will be immense, and PMT showcases its effectiveness in terms of transaction speed and node repetition. Our method allows any block to validate the full availability of transactions without repeating hash nodes and focuses on improving the transaction process through the Pruned Merkle Tree and achieving remarkable results. To assess the performance of the proposed system, we used Hyperledger Caliper, a benchmarking tool specifically designed for measuring the performance of Hyperledger-based blockchain solutions. The evaluation results show a significant improvement in throughput, with a value of 30450kbps recorded. The processing time has also increased noticeably, reaching 1660ms. Security measures have also been strengthened, yielding an impressive 99.60%. The energy consumption factor plays a crucial role, and the PMT exhibits the lowest value at 235 joules. Keywords: Blockchain, Merkle Tree, Pruned Merkle Tree, Security, Transaction Verificatio

Enhancing Data Integrity in Blockchain through Fuzzy Augmented Lagrangian Optimization and Compact Blocks to Minimize Redundancy

Blockchain is a method of storing data that makes it difficult or impossible to modify, steal, or swindle the system. Every block in a blockchain has its header with the unique nonce, timestamp, hash, the previous hash, transaction data, and the Merkle root. The Merkle tree is crucial in a block for consolidating data into a single hash, but it can suffer from data redundancy concerns during its structure formation. The central focus of the paper revolves around data redundancy and presents a novel approach for ensuring data integrity in blockchain with a compactness technique. Compactness is accomplished using Fuzzy Augmented Lagrangian Optimization to reduce data redundancy (FALORR). We integrate compact blocks into regular blockchain setup, bringing out a faster and more efficient way to reduce memory requirements. This effectual transaction verification structure improves the overall security and efficiency of the blockchain network by detecting and preventing malicious activities. To evaluate the effectiveness of the proposed system, we employed Hyperledger Caliper, a specialized benchmarking tool tailored for gauging the performance of blockchain solutions. The results of our implementation and evaluation demonstrate the effectiveness of the proposed structure in minimizing data redundancy and maintaining the data integrity of transactions in the blockchain system

A New Environmentally Safe Formulation and of Low Cost for Prolonged Release System of Atrazine and Diuron

Diuron and atrazine were incorporated in new formulations developed with the purpose to improve herbicides action through release systems, as well as to reduce the environmental toxicity. A low cost formulation (ALG/ESC) was obtained by combining sodium alginate (ALG) with fish scales of the Piau fish (ESC) from the Leporinus elongatus species. From the crosslinking of ALG/ESC with CaCl2, the formulation ALG/ESC-CaCl2 was obtained. For ALG/ESC-CaCl2, the results are successful, showing a prolonged release of 3.5 and 4.5 days for atrazine and diuron, respectively. Based on parameters of an empirical equation used to fit the herbicide release data, it appears that the release systems of diuron and atrazine from ALG/ESC-CaCl2 are by diffusion processes due to anomalous transport, which did not follow Fick’s laws of diffusion. DOI: http://dx.doi.org/10.17807/orbital.v9i3.99