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India is mainly an agriculture based country. Security of agricultural farm is of utmost importance for protecting the produce. Not being able to make the grown crops to the market is another side of the problem. Valuable investments and efforts can be ruined in minutes intentionally or unintentionally by persons or by animals. Introducing machine learning to this problem paves a way to smart agriculture. The proposed system employs Raspberry Pi board to detect any malicious activities or motion in the farm land and triggers the thermal camera to take picture of the scene image. The captured image is fed into the trained CNN (Convolutional Neural Network) model of deep learning. And after detecting the class of the animal, a sound file mapped to that class is played at little higher frequency, so as to scare away the animal. The result shows that the system is 80-95% accurate and 100% consistent for detecting any suspicious movement and to act accordingly.

India is mainly an agriculture-based country. Security of agricultural farm is of utmost importance for protecting the produce. Not being able to make the grown crops to the market is another side of the problem. Valuable investments and efforts can be ruined in minutes intentionally or unintentionally by persons or by animals. The threat posed by birds to economic crops in the farms and effect in health or at storage facilities requires the deployment of an effective bird deterrent in such locations. Many attempts have been made to developsuccessful bird deterrent systems with only a made progress in this topic. The ultrasonic frequency range sound (15-25 kHz) is irritating to birds and they scare away. The result shows that the system is 80-95% accurate and 100% consistent for detecting any suspicious movement and to act accordingly.

Purpose The aim of this study was to report the investigators' preliminary experience in the implementation of a "virtual consult" (VC) system enabling consultations between radiologists and referring physicians in physically remote locations throughout their enterprise. Methods Referrers and radiologists directly access the VC through the electronic medical record and PACS, respectively. Referrers may click a VC link associated with any examination report to instant message the appropriate subspecialist radiologist, who receives an alert allowing automatic loading of the examination. The radiologist and referrer may then discuss the examination via instant messaging as well as launch a real-time screen-share of the radiologist's PACS display, with the option for either participant to control the display. Radiologists' and referrers' feedback was evaluated after the institution's first 110 VC sessions. Results Referrers' most common specialties were emergency medicine (27.3%) and internal medicine (13.6%); radiologists' most common subspecialties were abdominal (33.6%) and thoracic (16.4%) imaging. Screen-shares lasted on average 12 ± 16 minutes. From 80% to 90% of referrers agreed that the VC was easy to use, improved their understanding of the radiology report, affected patient management, and enhanced radiologists' role. Referrers found the VC to be particularly useful when traditional consultation was difficult because of location or time constraints or when seeking a quick response to a targeted question. Radiologists recognized referrers' positive response to the VC, although they tended to view the VC as disruptive to normal workflow. Conclusions The VC addresses a key challenge in the current era of digital radiology practice and provides added value to referrers, though continued radiologists' workflow optimization is warranted.

To preserve radiology rounds in the changing health care environment, we have introduced virtual radiology rounds, an initiative enabling clinicians to remotely review imaging studies with the radiologist. We describe our initial experience with virtual radiology rounds and referring provider impressions. Virtual radiology rounds, a web-based conference, use remote sharing of radiology workstations. Participants discuss imaging studies by speakerphone. Virtual radiology rounds were piloted with the Neonatal Intensive Care Unit (NICU) and the Congenital Cardiovascular Care Unit (CCVCU). Providers completed a survey assessing the perceived impact and overall value of virtual radiology rounds on patient care using a 10-point scale. Pediatric radiologists participating in virtual radiology rounds completed a survey assessing technical, educational and clinical aspects of this methodology. Sixteen providers responded to the survey; 9 NICU and 7 CCVCU staff (physicians, nurse practitioners and fellows). Virtual radiology rounds occurred 4–5 sessions/week with an average of 6.4 studies. Clinicians rated confidence in their own image interpretation with a 7.4 average rating for NICU and 7.5 average rating for CCVCU. Clinicians unanimously rated virtual radiology rounds as adding value. NICU staff preferred virtual radiology rounds to traditional rounds and CCVCU staff supported their new participation in virtual radiology rounds. Four of the five pediatric radiologists participating in virtual radiology rounds responded to the survey reporting virtual radiology rounds to be easy to facilitate (average rating: 9.3), to moderately impact interpretation of imaging studies (average rating: 6), and to provide substantial educational value for radiologists (average rating: 8.3). All pediatric radiologists felt strongly that virtual radiology rounds enable increased integration of the radiologist into the clinical care team (average rating: 8.8). Virtual radiology rounds are a viable alternative to radiology rounds enabling improved patient care and education of providers.

A convenient general synthesis of 2,2-dimethyl-3,4-dihydro-2H-pyrano[2,3-b]quinolines using the Wittig reaction is described. The o-nitrobenzaldehydes (1a–d) on reaction with phosphorane 2 provided ( E )-ethyl-α-(2,2-dimethylprop-2-ene)-2-nitrocinnamates (3a–d) in excellent yields, which on cyclization with polyphosphoric acid followed by reductive cyclization using Fe/HCl afforded dihydropyranoquinolines (5a–d). Alternatively, the pyranoquinolines 5a–d were also synthesised from esters 3a–d by employing domino reductive cyclization in a single step.

A three‐step synthesis of 2‐carboethoxy‐4‐methylnaphthalenes 7a–d from aryl aldehydes is described. #Dedicated to Professor S. C. Chandrasekaran on the occasion of his 60th Birthday.

A convenient three-step synthetic approach towards 3-alkyl-5-methyl-2[5H]furanones is described. The steps involved in the synthesis are domino primary alcohol oxidation-Wittig reaction, acid-catalysed lactonisation and isomerisation. This synthetic approach has been exploited to synthesise four Streptomyces lactones.

A convenient general synthesis of 2,2-dimethyl-3,4-dihydro-2H-pyrano[2,3-b]quinolines using the Wittig reaction is described. The o-nitrobenzaldehydes (1a–d) on reaction with phosphorane 2 provided ( E )-ethyl-α-(2,2-dimethylprop-2-ene)-2-nitrocinnamates (3a–d) in excellent yields, which on cyclization with polyphosphoric acid followed by reductive cyclization using Fe/HCl afforded dihydropyranoquinolines (5a–d). Alternatively, the pyranoquinolines 5a–d were also synthesised from esters 3a–d by employing domino reductive cyclization in a single step.

A convenient three-step synthetic approach towards 3-alkyl-5-methyl-2[5H]furanones is described. The steps involved in the synthesis are domino primary alcohol oxidation-Wittig reaction, acid-catalysed lactonisation and isomerisation. This synthetic approach has been exploited to synthesise four Streptomyces lactones.

y-Methyl-α-(alkylidene substituted)-γ-butyrolactones have been synthesized in two steps. The anion of allyl phosphonate 1 is condensed with different carbonyl compounds to afford α,β-unsaturated esters 2a-g which are cyclised using 6N HCl to give title compounds.

Traditionally, heritability has been estimated by correlations of close kin. It is likely to be biased by determinants such as non genetic factors, inbreeding, selection and shared environment. Whereas, an animal model takes into account all relationships in a pedigree and is therefore expected to provide estimates of quantitative genetic parameters with higher precision. Therefore, the egg production data in the current study was analyzed using animal model to have more precise and accurate estimates of genetic parameters. The heritability of growth and egg weight traits was moderate to high. Whereas the heritability was lower for egg number and ASM traits. The body weights were positively correlated with egg weights and negatively correlated with egg numbers traits. The egg number produced at different age intervals was positively correlated. The genetic correlation of EP40 and EP52 with EP64 were 0.83 and 0.92, respectively. Therefore, the part period egg production of EP52 would give better selection response for egg production at 64 than EP40. Therefore, the selection of higher egg numbers can be done earlier at 52 weeks rather than waiting for EP64.