Optimizing Pre-Trained Models of Deep Learning for Identification of Plant Disease

The Plant diseases should be identified early to prevent the economic loss of farmers and ensure the availability of food for humans. The plant disease identification can be automated by using the Artificial Intelligence techniques. Researchers have proposed many deep learning methods for identifying plant diseases. Deep learning models use an increased number of parameters, it requires higher computational power, training a deep learning model from start requires more time. In this article we utilized transfer learning along with fine tuning for identification of plant diseases. Cassava plant disease dataset was utilised for training. and evaluate the suggested model. The performance accuracy achieved by Resnet50 is 73.12 % and fine-tuned Resnet50 is 80.84 %. The fine-tuned model achieves greater accuracy with a lesser amount of parameters Impact Statement–Artificial Intelligence is evolving all around the world. The AI techniques are used to automate the process of plant disease identification. Traditional methods are not accurate and time consuming. To help the farmers in diagnosing plant disease and stop economic loss to them, we employ deep learning models to do the work. The pretrained models predict the plant diseases, further we fine-tune them in order to get high accuracy. Early identification of the diseases accurately will avoid loss and improve productivity of the crops

Synthesis and Structural Analysis of Nanocrystalline MnFe2O4

AbstractNanocrystalline form of manganese ferrite (MnFe2O4) has been synthesized by simple sol-gel auto combustion method using citric acid as chelating agent. The obtained nanocrystalline powders of manganese ferrite were subjected to structural and magnetic measurements. Temperature dependent magnetization was also carried out for the single phase nanocrystalline manganese ferrite and the results have been discussed in detail

Growth and PhysioChemical Properties of Second-Order Nonlinear Optical L-Threonine Single Crystals

The present aim of the paper is to grow and to study the various properties of L-threonine amino acid single crystal in various aspects. Crystal growth of L-threonine single crystals has been carried out with the help of crystallization kinetics. pH and deuteration effects on the properties of the grown crystals have been studied and the results presented in a lucid manner. The various second-order NLO parameters were evaluated using anharmonic oscillator model. Particle and ion irradiation effects on structural, optical, and surface properties of the crystals have also been studied in detail

Unusual medial tibial plateau fracture fixation using dual plating

Background: Medial tibial plateau fractures is a subtype of proximal tibial fractures that involve the articular surface and can present in several distinct patterns. Purpose of this study was to assess the clinical outcome of stabilizing these biplanar medial tibial plateau fractures using dual plating technique through a single incision.Methods: Between 2017 to 2019, 12 men and 8 women with closed medial tibial plateau fracture who underwent reconstruction using two plates through a posteromedial approach were included in the study group. The fractures were classified using the three column concept of Lou.Results: One patient had an articular step off that was unacceptable and two patients had an acceptable articular step off. Functional assessment was done using the objective scoring of Oxford knee score criteria and radiological assessment was done using the Rasmussen modified score.Conclusions: Biplanar reconstruction using dual plates is a reliable and safe technique to reconstruct complex medial tibial plateau fractures

Aerospace components made by Polymer material

The aerospace and aviation industry have fasted growing industries on a global scale. Reliable aircraft demands many top rubber components. These rubber components must-have high performance and endurance properties, since they will be exposed to a range of extreme weather conditions, such as excessively hot or cold temperatures, and different types of oils and gases. Rubber products are becoming more famous because of their durability under extreme environmental conditions and cost-effectiveness. The rubber used for aircraft must be of high quality, and this factor is most important in the production of the necessary parts. To study the effect of all compounding ingredients while optimizing compound design and conforming to the various specification requirements and to study the effect of aging, generally, rubber is tested at three different stages viz. Unvulcanised rubber, vulcanized rubber, and finished product

Car Cabin Co2, A Safety Issue

Indoor Air Quality has become an important human health and safety concern, clean air is essential for good health. Many studies demonstrate that air recirculation can reduce exposure to nanoparticles in vehicle cabins. However when people occupy confined spaces, air recirculation can lead to carbon dioxide (CO2) accumulation which can potentially lead to deleterious effects on cognitive function. It is known that in-vehicle CO2 concentration tends to increase due to occupant exhalation when the HVAC (Heating, Ventilation and Air Conditioning) air is in recirculation mode. This study establishes a major safety problem associated with automotive; Field experiments were conducted to measure CO2 concentration in a typical automotive cabin

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

Background Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide.Methods A multimethods analysis was performed as part of the GlobalSurg 3 study-a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital.Findings Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3.85 [95% CI 2.58-5.75]; p<0.0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63.0% vs 82.7%; OR 0.35 [0.23-0.53]; p<0.0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer.Interpretation Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised