Random Network Behaviour of Protein Structures

Geometric and structural constraints greatly restrict the selection of folds adapted by protein backbones, and yet, folded proteins show an astounding diversity in functionality. For structure to have any bearing on function, it is thus imperative that, apart from the protein backbone, other tunable degrees of freedom be accountable. Here, we focus on side-chain interactions, which non-covalently link amino acids in folded proteins to form a network structure. At a coarse-grained level, we show that the network conforms remarkably well to realizations of random graphs and displays associated percolation behavior. Thus, within the rigid framework of the protein backbone that restricts the structure space, the side-chain interactions exhibit an element of randomness, which account for the functional flexibility and diversity shown by proteins. However, at a finer level, the network exhibits deviations from these random graphs which, as we demonstrate for a few specific examples, reflect the intrinsic uniqueness in the structure and stability, and perhaps specificity in the functioning of biological proteins.Comment: Expanded version available in Molecular BioSystem

Nature and characteristics of after pain among postnatal mothers admitted in a tertiary care hospital in South India

Background: All postnatal mothers experience pain in some form or the another. Crampy pain in the abdomen known as after pain is a determinant of the uterine involution which is more evident clinically in the first four days postpartum. The present study emerged with a view to study the nature and characteristics of after pain among postnatal mothers at a tertiary care hospital in South India.Methods: A prospective survey design was used for the study. Quota sampling was used to select 100 postnatal mothers, 50 mothers who had caesarean section and 50 mothers who had vaginal delivery. The mothers were enrolled for the study consecutively in 12-24 hours postpartum till the required sample size was obtained in both the groups. A demographic proforma was designed to collect the background information. The characteristics of after pain were assessed using numerical pain rating scale every 24 hours in the first three postpartum days.Results: The mean scores of pain on the first three postpartum days among mothers after vaginal delivery were 2.84, 2.1 and 0.84 respectively and for mothers after caesarean section were 1.6, 1.66 and 0.74 respectively. The scores were greatest on the first postpartum day. No association was found between after pain and variables like mode of delivery and age of the mother. It was found that after pain had an association with with parity on the first and third postpartum days.Conclusions: Since after pain is an indicator of uterine involution, strict protocols should be established in maternity care units for a comprehensive assessment of after pain

PC Controlled Rain Simulation

Rainfall simulators have a long history of successful use in both laboratory and field investigations. A challenge faced today is to have practical method of assessing the impact of various natural phenomena on day to day life. With the climatic change taking place globally, there is necessity to simulate rain to assess and estimate its impact on our lives. It is developed with an objective to simulate rainfall which is computer controlled hardware implemented simulation for scaled model food godown. In this paper, we describe simulation of rain practically on a scaled model. The simulator is controlled by PC which can be programmed as per the requirement of user and can be modified and adopted easily. The process of PWM is achieved using a PC which has custom developed program interfaced to drive a water delivery system through PLC and MOSFET drive. DOI: 10.17762/ijritcc2321-8169.15064

Impact of malicious node on secure incentive based advertisement distribution (SIBAD) in VANET

Last decade has seen an increasing demand for vehicle aided data delivery. This data delivery has proven to be beneficial for vehicular communication. The vehicular network provisions safety, warning and infotainment applications. Infotainment applications have attracted drivers and passengers as it provides location based entertainment services, a value add to the traveling experience. These infotainment messages are delivered to the nearby vehicles in the form of advertisements. For every advertisement disseminated to its neighboring vehicle, an incentive is awarded to the forwarder. The incentive based earning foresee a security threat in the form of a malicious node as it hoards the incentives, thus are greedy for earning incentives. The malicious behavior of the insider has an adverse effect on the incentive based advertisement distribution approach. In this paper, we have identified the malicious nodes and analyzed its effect on incentive based earning for drivers in vehicular networks. © 2017 IEEE

Effectiveness of Yoga Therapy on Anxiety among patients with Breast Cancer at selected hospital, Trichy

A quasi experimental study to assess the effectiveness of yoga therapy on anxiety among patients with breast cancer at selected hospitals, Trichy, 2015-2016. OBJECTIVES 1. To assess the pre test level of anxiety among patients with breast cancer in control group and experimental group. 2. To assess the effectiveness of yoga therapy on the level of anxiety among patients with breast cancer in experimental group. 3. To compare the mean post test level of anxiety among patients with breast cancer in control group and experimental group. 4. To determine the association between the selected demographic variables with the pre test level of anxiety among breast cancer patient in control group 5. To determine the association between the selected demographic variables with the pre test level of anxiety among breast cancer patient in experimental group. HYPOTHESIS H1 : There will be a significant differenc in anxiety among patients with breast cancer after yoga in experimental group H2 : There will be a significant difference in post test level of anxiety among patients with breast cancer in control and experimental group. H3 : There will be a significant association between the selected demographic variables with the pre test level of anxiety among patients with breast cancer in control group. H4 : There will be a significant association between the selected demographic variables with the pre test level of anxiety among patients with breast cancer in experimental group. Research design E O1 X O2 C O3 O4 Population : Breast cancer patients. Sampling technique : Non Probability convenience Sampling technique was used. Samples : Breast cancer patients attending G.V.N Hospital, Dr. G. Viswanathan Multi speciality Hospital undergoing treatment. Sample size : 60 samples. Setting : G.V.N Hospital and GEL Speciality Hospital, Trichy. Tool : Section I - It consisted of selected demographic variables Section II - Hamilton Anxiety Rating Scale(HAM-A) Data collection : A quas

An unusual presentation of a vaginal leiomyoma in a postmenopausal hysterectomised woman: a case report

Leiomyomas are benign tumours commonly occurring in the uterine wall. They are rarely seen in the vaginal wall leading to pressure symptoms on urinary tract. Indentation of leiomyoma from anterior vaginal wall into the bladder is rare and hence we report one such case. A 55 year old Caucasian woman presented to urology clinic with recurrent Urinary tract infection and pressure symptoms. After the diagnosis of a vaginal mass, she was referred to Gynaecology clinic. During the excision of the vaginal mass its indentation into the bladder was noted. Histology report confirmed the diagnosis of benign leiomyoma

In situ synthesis of nanoclay filled polyethylene using polymer supported metallocene catalyst system

In situ ethylene polymerizations were performed using bis(cyclopentadiene)titanium dichloride supported on polyethersulfone as catalyst. The bis(cyclopentadiene)titanium dichloride supported on polyethersulfone catalyst activity estimated by ethylene polymerization was 360 kgPE/molTi/h. During polymerization the fillers used were montmorillionite nanoclays having surface modifications with 35-45 wt% dimethyl dialkyl(14-18)amine (FA) and 25-30 wt% trimethyl stearyl ammonium (FB). These fillers were pretreated with methylaluminoxine (MAO; cocatalyst) for better dispersion onto the polymer matrix. The formation of polyethylene within the whole matrix was confirmed by FTIR studies. It was found that the nature of nanofiller did not have any remarkable effect on the melting characteristics of the polymer. TGA study indicates that nanoclay FB filled polyethylene has higher thermal stability than nanoclay FA filled polyethylene. The melting temperature of the obtained polyethylenes was 142 ºC, which corresponds to that synthesized by the polyether sulfone supported catalyst

Prevalence of diabetes mellitus in tuberculosis patients: a hospital based study

Background: Screening of high risk individuals with weak immunity as in diabetics for active tuberculosis is of great public health importance. The prevalence of diabetes in tuberculosis is high and the data regarding the same is necessary for strengthening TB control activities.Methods: This study was conducted to know the prevalence of diabetes mellitus in tuberculosis patients diagnosed from the hospital. This was a hospital based descriptive study conducted in Department of Respiratory medicine, Academy of Medical Sciences, Northern Kerala in association with DOTS center during a one year period from August 2014 to July 2015. All patients diagnosed as a case of tuberculosis from our institution were included for the study. All patients were screened for diabetes mellitus using Fasting Plasma Glucose value. Additional information regarding age, body mass index (BMI), sputum smear positivity and treatment category of tuberculosis were collected.Results: There was a higher prevalence of diabetes in tuberculosis patients than in general population and the rate was found to be 19.6%. There was a statistically significant association of diabetes with older age, higher BMI and sputum positivity.Conclusions: Routine screening for diabetes needs to be intensified in the community and more importantly in Tuberculosis patients.

Techniques of deep learning and image processing in plant leaf disease detection: a review

Computer vision techniques are an emerging trend today. Digital image processing is gaining popularity because of the significant upsurge in the usage of digital images over the internet. Digital image processing is a practice that can help in designing sophisticated high-end machines, which can hold the ophthalmic functionality of the human eye. In agriculture, leaf examination is important for disease identification and fair warning for any deficiency within the plant. Many prominent plant species are facing extinction because of a lack of knowledge. A proper realization of computer vision techniques aid in extracting a significant amount of information from leaf image. This necessitates the requirement of an automatic leaf disease detection method to diagnose disease occurrences and severity, for timely crop management, by spraying pesticides. This study focuses on techniques of digital image processing and machine learning rendered in plant leaf disease detection, which has great potential in precision agriculture. To support this study, techniques exercised by various researchers in recent years are tabulated