Stream bundle management layer for optimum management of co-existing telemedicine traffic streams under varying channel conditions in heterogeneous networks.

Heterogeneous networks facilitate easy and cost-effective penetration of medical advice in both rural and urban areas. However, disparate characteristics of different wireless networks lead to noticeable variations in network conditions when users roam among them e.g. during vertical handovers. Telemedicine traffic consists of a variety of real-time and non real-time traffic streams, each with a different set of Quality of Service requirements. This paper discusses the challenges and issues involved in the successful adaptation of heterogeneous networks by wireless telemedicine applications. We propose the development of a Smart Bundle Management (SBM) Layer for optimally managing co-existing traffic streams under varying channel conditions in a heterogeneous network. The SBM Layer acts as an interface between the applications and the underlying layers for maintaining a fair sharing of channel resources. Internal priority management algorithms are explained using Coloured Petri nets. This paper lays the foundation for the development of strategies for efficient management of co-existing traffic streams across varying channel conditions

Proactive policy management for heterogeneous networks

Context-awareness is a vital requirement of heterogeneous devices which allows them to predict future network conditions with sufficient accuracy. In this paper we present a proactive modelling-based approach for policy management which allows the mobile node to calculate Time Before Vertical Handover for open and closed environments. The paper explains how the knowledge of this component can improve the manner in which multi-class traffic streams are allocated to available network channels. Simulation results confirm the feasibility of the concept

Client-based SBM layer for predictive management of traffic flows in heterogeneous networks

In a heterogeneous networking environment, the knowledge of the time before a vertical handover (TBVH) for any network is vital in correctly assigning connections to available channels. In this paper, we introduce a predictive mathematical model for calculating the estimated TBVH component from available network parameters and discuss the different scenarios that arise based on a mobile host’s trajectory. We then introduce the concept of an intelligent Stream Bundle Management Layer (SBM) which consists of a set of policies for scheduling and mapping prioritised traffic streams on to available channels based on their priority, device mobility pattern and prevailing channel conditions. The layer is also responsible for the maintenance of connections during vertical handovers to avoid their forced termination

Proactive policy management using TBVH mechanism in heterogeneous networks.

In order to achieve seamless interoperability in heterogeneous networking, it is vital to improve the context-awareness of the mobile node (MN) so that it is able to predict future network conditions with sufficient accuracy. In this paper, we introduce a predictive mathematical model for calculating the estimated Time Before Vertical Handover (TBVH) component from available network parameters. The model is practically implemented in OPNET and our simulation results confirm the validity of the concept. We then demonstrate how the knowledge of TBVH along with other network parameters can be applied by downward Quality of Service management policies which bundle multi-class traffic streams on to available network channels based on application QoS, device mobility patterns and prevailing channel conditions

May-thurner syndrome: A cause of acute left Iliac vein obstruction in early postpartum period: A case report

May-Thurner syndrome (MTS) is a rare disease common in middle aged females, characterised by left-sided lower limb Deep vein thrombosis (DVT) due to compression of the left iliac vein by the overriding right iliac artery. Pregnancy and puerperal phases are one of the hypercoagulable states further predisposing towards thrombus formation. Treatment includes both conservative and interventional (venous thrombectomy with or without stenting). Here we report a case of a 34- year-old female in her early postpartum period who visited the Agha Khan University Hospital in July 2016, with the onset of acute pain and swelling in the left leg. Her workup revealed left-sided Acute DVT, secondary to MTS. Her case was successfully managed with conservative treatment. This case is an important addition to medical literature in the sense that DVT occurring on the onset of postpartum period should not always be attributed to the hypercoagulability, secondary to pregnancy. With early diagnosis and aggressive m a na g em ent, M TS ca n be e a s il y m a n age

Fistulotomy versus fistulectomy for simple fistula in ano: a retrospective cohort study

OBJECTIVE: To compare fistulotomy with fistulectomy for wound healing, duration of surgery, post-operative pain, incontinence and recurrence in patients with fistula in ano. METHODS: This retrospective cohort study was conducted at the Aga Khan University Hospital, Karachi, and comprised data of adults who had undergone fistulotomy/fistulectomy for simple fistula in ano from January 2007 to August 2012. Data collection was done in August 2013 using questionnaire and telephonic interviews. Outcome variables like duration of wound healing, recurrence, incontinence, duration of surgery and post-operative pain were compared in both the groups. SPSS 19 was used for data analysis. RESULTS: Of the 192 cases, there were 96(50%) in each group. The mean age was 40.51 years (range: 21-72 years) in the fistulotomy group and 41.14 years (range: 21-66 years) in the fistulectomy group (p=0.66). Both groups were comparable for baseline demographic variables. The median duration of wound healing was shorter in the fistulotomy group 15 days (Interquartile range: 7-20 days) compared to the fistulectomy group 30 days (Interquartile range: 15-42 days) (p\u3c0.001). The incidence of recurrence was comparable in fistulotomy vs. fistulectomy (3[3.12%] vs. 4[4.16%]; p=0.70). The incidence of incontinence was higher in fistulotomy compared to fistulectomy (5[5.3%] vs. 12[12.5%]; p=0.07). The severity of incontinence was also compared but the difference was insignificant (p=0.06). The median duration of surgery was significantly shorter in fistulotomy group 17 minutes (Interquartile range: 12-25 minutes) compared to fistulectomy group 25 minutes Interquartile range: 20-35 minutes (p\u3c0.001). The median post-operative pain in the surgical day care unit and at the first follow-up in clinic was zero for both groups. CONCLUSIONS: Fistulotomy yielded better results than fistulectomy since it significantly decreased the duration of wound healing and duration of surgery without increasing the incidence of recurrence, incontinence and post-operative pain

GAS CHROMATOGRAPHY-MASS SPECTROSCOPIC ANALYSIS OF BLACK PLUM SEED (SYZYGIUM CUMINI) EXTRACT IN HEXANE

Objective: Black plum seed has unique medicinal value and used as antidiabetics, antibacterial, and anti-inflammatory. Methods: Gas chromatography-mass spectrometry (GC-MS) analysis of the extracts of black plum seed obtained using solvent extraction with hexane as a solvent is used to attempt the identification of prominent components. Results: Black plum seed extract is obtained by solvent extraction technique using Soxhlet extractor. A total of 10 compounds are predicted in black plum seed extract by GC-MS analysis. Conclusion: The work presented relates to the study of GC-MS analysis of the extract of black plum seed obtained using solvent extraction with hexane as a solvent. Of ten compounds of black plum seed extract, five compounds are known to have antimicrobial properties

A survey of network coverage prediction mechanisms in 4G heterogeneous wireless networks.

Seamless connectivity in 4G wireless networks requires the development of intelligent proactive mechanisms for efficiently predicting vertical handovers. Random device mobility patterns further increase the complexity of the handover process. Geographical topologies such as indoor and outdoor environments also exert additional constraints on network coverage and device mobility. The ability of a device to acquire refined knowledge about surrounding network coverage can significantly affect the performance of vertical handover prediction and QoS management mechanisms. This paper presents a comprehensive survey of research work conducted in the area of 4G wireless network coverage prediction for the optimisation of vertical handovers. It discusses different coverage prediction approaches and analyses their ability to accurately predict network coverage

Improving the Quality of Healthcare Using Big Data

In India there is a lack of doctorrsquos availability in rural areas compare to urban areas because of which the number of deaths is increasing in the rural areas. To solve this issue we are building an android application (Healtho) which will recommend the disease based on the symptoms given by the end user. Basically, a recommended system will be used by using Hadoop with mahout that is a Big Data concept. By using android as a platform we can provide higher availability of the system to the end user and provide some emergency services like location of nearby Hospitals and blood bank. The system also provides the medicine time (Meditime) in which the end user may come to know at what time the medicine is to be taken. This system could mostly be used by the people who live in rural area because there is lack of doctorrsquos availability and hospitals.nbs