Exploring the Psychological Antecedents of Attitude towards Indigenous Wetland Practices

A study was conducted in the North eastern agro-climatic zone of Tamil Nadu, India to analyze the possible impact of the psychological antecedents of attitude towards Indigenous Wetland Practices(IWPs) among the farming community. Two hundred and nine farmers were selected at random from ten blocks in three districts of the state. Their psychological characteristics and attitude towards IWPs were assessed. The mean attitude score and the mean attitude index were analysed. The highest variable index was found in the case of Progressivism and Traditionalism, followed by Self-Reliance. Environmental orientation and Decision making ability had a positive and highly significant relationship while Scientific Orientation had a negative and highly significant relationship with attitude towards Indigenous Wetland Practices.

Understanding Learning Style Variations among Undergraduate Students

A study was conducted in Vellore district of Tamil Nadu state to understand the learning styles of students. The term learning style refers to the way or method or approach by which a student learns. The study explored the possible learning style variations among agricultural, horticultural, engineering and arts & science students and their association with academic achievement. One hundred and twelve students were randomly selected from the four streams and their learning styles were analyzed. In the agricultural and horticultural streams, a majority of the students were auditory learners. They were also found to be predominantly unimodal learners. Overall, it was found that majority of the students were visual learners followed by auditory and kinesthetic style. The highest percentage of kinesthetic learners was found among engineering students. Trimodal learners scored the highest mean percentage of marks. The influence of learning styles on the academic achievements of the students did not show a significant relationship

Robust signatures for 3D face registration and recognition

PhDBiometric authentication through face recognition has been an active area of research for the last few decades, motivated by its application-driven demand. The popularity of face recognition, compared to other biometric methods, is largely due to its minimum requirement of subject co-operation, relative ease of data capture and similarity to the natural way humans distinguish each other. 3D face recognition has recently received particular interest since three-dimensional face scans eliminate or reduce important limitations of 2D face images, such as illumination changes and pose variations. In fact, three-dimensional face scans are usually captured by scanners through the use of a constant structured-light source, making them invariant to environmental changes in illumination. Moreover, a single 3D scan also captures the entire face structure and allows for accurate pose normalisation. However, one of the biggest challenges that still remain in three-dimensional face scans is the sensitivity to large local deformations due to, for example, facial expressions. Due to the nature of the data, deformations bring about large changes in the 3D geometry of the scan. In addition to this, 3D scans are also characterised by noise and artefacts such as spikes and holes, which are uncommon with 2D images and requires a pre-processing stage that is speci c to the scanner used to capture the data. The aim of this thesis is to devise a face signature that is compact in size and overcomes the above mentioned limitations. We investigate the use of facial regions and landmarks towards a robust and compact face signature, and we study, implement and validate a region-based and a landmark-based face signature. Combinations of regions and landmarks are evaluated for their robustness to pose and expressions, while the matching scheme is evaluated for its robustness to noise and data artefacts

Real-time Packet Performances under Socket Application

Real-time packet capture and analysis has become a challenging problem, since it plays a vital role not only in identifying the problem causing entity but also to manage the network efficiently. The administrator has to know the network bandwidth and other resources that are used for accounting and auditing. This creates an emphasis to monitor network traffic and conduct analysis to ensure smooth operations performed routinely. Time is an important factor, which contributes to the variations of packet flow. In this paper, initially, the packet movement in the network was monitored with only hypertext transfers using HTTP. The same movement was analyzed with respect to other file transfer applications. The number of file downloads between the HTTP server and clients are also varied to follow the behavior of data. We also designed and developed multithreaded socket applications using java which was again monitored and analyzed using the above methodology. We compared the reading and the experimental results shows that the developed application outperforms in terms of packet acceleration compared to the previous ones. &nbsp

Psychiatric Morbidity In Perinatal Women And Its Outcome In A Tertiary Care Hospital

Background: Pregnancy and postpartum are a period of vulnerability in a women’s life for developing mental health problems. Perinatal psychiatric illness has various adverse outcome on maternal, neonatal and child health. Objective: To study the prevalence of psychiatric disorders and its outcome among women in the perinatal period. Method: It is a prospective study conducted at a tertiary care hospital where antenatal and postnatal women were screened for psychiatric disorder using patient health questionnaire-9 (PHQ-9) and Edinburgh Post Natal Depression Scale (EPDS) respectively. Total of 140 women diagnosed with psychiatric disorder were followed up for a year and outcome noted. Results: Depression (62.7%) was the most common psychiatric disorder seen in the antenatal (62.7%) and postpartum period (80%). More than 70% of the women who had psychiatric problems during antenatal care (76.3%) and postnatal period (71.6%) who were treated with psychotherapy had recovered within 12 months. Conclusion: Comprehensive modality that includes obstetric care by early screening and psychiatric care by diagnosis and treatment, is required for optimal psychological and physical health of a women during the period of pregnancy and postpartum

Are Remittances of Migrants from Rural Households Improving Investment in Agriculture: Empirical Evidences from Tamil Nadu State of India

A study was conducted in seven villages of Peddanayakenpalayam block of Salem district in Tamil Nadu to understand the impact of remittances of migrants on the Agricultural Well being of their families. The sample size consisted of 100 migrant farm families and the respondents were selected using proportionate random sampling method. A vast majority (87%) of respondents of this study replied that using the remittances of their migrant family members they could able to purchase cows, goats and chicks. Another conspicuous impact on agriculture due to remittances of migrant family members were purchase of new agriculture field/ land and laying of irrigation channels/pipe lines. Nearly three – fifth (59%) of respondents told that they brought un cultivated land to in cultivation using the remittances of their migrated family members. Type of family duration of migration and average pay per month had shown a positive significant contribution for impact of remittances of migrant family members on agricultural well-being at one Percent level of probability. Multiple regression analysis was resorted to find out the contribution of Independent variables on the dependent variable, Impact of Remittances on Agricultural Well-being of Migrant Househols. Working Conditions was found to significantly contributing to impact of remittance of migrant family members on agricultural well-being at five Percent level of probability. Number of destination was found to have a negative significant contribution towards the impact of remittance on agricultural well-being at one Percent level of probabilit

Prescribing pattern of ophthalmological medication in geriatric inpatients of a tertiary care hospital

Background: Older people are potentially at greater risk of medication error. Gaining insight into the prescribing pattern especially in eye diseases as they are a common problem in elderly, in order to identify prescribing related problems is the fundamental step in improving the quality of prescription and patient care.Methods: Prescriptions fulfilling inclusion criteria were collected from hospital Medical record department (MRD) and analyzed using the World Health Organization (WHO) core prescribing indicators for rationality of prescriptions.Results: Among 811 prescriptions analysed, 52.7% (428) were of male patients, those aged 60-70 years were 77.2% (626) and patients with only cataract constituted 77% (625). Prescriptions with oral antibiotics were 57.1% (334); topical antibiotics were 35.8% (429) and topical analgesics 46.2% (553). Out of 1182 FDCs noted, 59% (479) were found to be rational and 34.6% (281) were from Essential Medicines List 2014. Only 2% (61) drugs were prescribed using generic name while 64.06% (1606) of drugs were from the WHO Model List of Essential Medicines (April 2015). Average number of drugs per encounter was 3.7. Percentage of encounters with antibiotics was found to be 43.8% and no prescriptions with injections were noted.Conclusions: Although usage of antibiotics and topical drugs was conforming to WHO recommended standards, there is a need to improve prescription pattern by using generic names and drugs from Essential Drug List

Knowledge Level of Farmers in Accessing Agricultural Information through Smartphone

The present study was conducted to assess the knowledge level of rice, millets, and cotton farmers on accessing agricultural information through smartphone. Ex Post Facto Research Design was followed in this study since it aimed to assess the knowledge level of farmers. The study was conducted during May and June 2022. It was decided to conduct the study on three types of crops representing wetland, dryland and commercial conditions, for comparison purposes. Based on maximum area under cultivation in the state, rice for wetland condition, millets for dryland condition and cotton for commercial farming were selected for the research. The study was conducted in three districts viz., Thanjavur, Salem and Virudhunagar, which were selected based on the highest area under rice, millets and cotton respectively. From each of the three districts, two blocks were selected and from the selected blocks, three villages from each block were selected for the study based on maximum area under the rice, millets, and cotton crop. Based on proportionate random sampling technique, 180 respondents were selected for the study. The responses of the respondents were subjected to frequency and percentage analysis. Most of the millet growers (90.00%), rice growers (86.67%), and cotton growers (85.00%) had low level of overall knowledge on accessing agricultural information through smartphone. Majority of the rice, millets, and cotton respondents had high level of knowledge on Uzhavan app, PM Kisan web portal, Google Pay, WhatsApp, and Google Play Store. The knowledge level could be enhanced by more promotional activities of extension workers by conducting awareness campaigns on important mobile apps and web portals related to agriculture, and by conducting trainings and demonstrations on utilizing smartphones for accessing agricultural information through browsing internet, mobile apps, and web portals

SUPPORTING DYNAMIC NETWORK SLICING AND POLICY CREATION FOR END DEVICES IN PRIVATE 5G NETWORKS

Described herein are techniques for handling dynamic slicing requirements of User Equipment (UE) by performing remote activation (e.g., Over-the-Air Provisioning (OTAP)) of the logical profiles captured in the embedded Subscriber Identity Module (eSIM) which are created for the different slicing needs in private 5G networks. Also described are techniques for installing policies based on the Manufacturer Usage Description (MUD) Uniform Resource Locator (URL) in a private 5G network and efficiently retaining it during a 5G outage