A Study to Assess the Effectiveness of Progressive Muscle Relaxation Technique among the Patient with Anxiety Disorders in the Selected Mental Health Centers

Nowadays, major impact of researchers’ toevaluate the intensity of anxiety between Anxiety Disorder with the Patient, and theirefficacy of enlightened muscle relaxation and disorder of anxiety to the patients, intensity of anxiety amongst mental health center describe the anxiety disorder patients with correlated with the social cum geographical values. Hypothesis, nominated socio demographic variables around the difference between posttest level and pretestanxiety of disorder patients. Nearby is an important association among intensity of unease. In tangible background: Inaccurate Roy’s variation classical was cast-off for this study. Methodology: A Pre-experimental and progressive muscle and decreasetherapy by used as a posttest. 40 anxiety ailment patients were confident by successive sampling process.Hypothesis formulated between. Pre and posttest was shown progressive muscle relaxation on forty minutes trainingto the anxiety patients on 5 consecutive days. In our results suggested anxiety patients output of reduced levels of anxiety disorder on the 6th day of posttest. To evaluate the Reformist muscle slackening is non-invasive, cost effective, non – pharmacological complementary therapy to between disorder patients with anxiety and diminish anxiety. Also posttest levels varied with age, academic qualification, anxiety, social value and alcoholic addiction and its duration.

Tuning design weights to deal with non-response in successive sampling

The estimation of finite population mean at current occasion in two occasion successive sampling in presence of non-response is investigated using tuned jackknife estimators. Based on the availability of auxiliary information at population level (Info U) and sample level (Info s) and using tuned jackknife technique, estimators have been proposed. Estimator of variance of proposed estimators have also been discussed. Different cases of occurance of non-response have been explored. The estimators are mutually compared. The properties of these estimators are studied via simulation study using natural population.

A Motor-Driven and Computer Vision-Based Intelligent E-Trap for Monitoring Citrus Flies

Citrus flies are important quarantine pests in citrus plantations. Electronic traps (e-traps) based on computer vision are the most popular types of equipment for monitoring them. However, most current e-traps are inefficient and unreliable due to requiring manual operations and lack of reliable detection and identification algorithms of citrus fly images. To address these problems, this paper presents a monitoring scheme based on automatic e-traps and novel recognition algorithms. In this scheme, the prototype of an automatic motor-driven e-trap is firstly designed based on a yellow sticky trap. A motor autocontrol algorithm based on Local Binary Pattern (LBP) image analysis is proposed to automatically replace attractants in the e-trap for long-acting work. Furthermore, for efficient and reliable statistics of captured citrus flies, based on the differences between two successive sampling images of the e-trap, a simple and effective detection algorithm is presented to continuously detect the newly captured citrus flies from the collected images of the e-trap. Moreover, a Multi-Attention and Multi-Part convolutional neural Network (MAMPNet) is proposed to exploit discriminative local features of citrus fly images to recognize the citrus flies in the images. Finally, extensive simulation experiments validate the feasibility and efficiency of the designed e-trap prototype and its autocontrol algorithm, as well as the reliability and effectiveness of the proposed detection and recognition algorithms for citrus flies.