A Web Smart Space Framework for Intelligent Search Engines

A web smart space is an intelligent environment which has additional capability of searching the information smartly and efficiently. New advancements like dynamic web contents generation has increased the size of web repositories. Among so many modern software analysis requirements, one is to search information from the given repository. But useful information extraction is a troublesome hitch due to the multi-lingual; base of the web data collection. The issue of semantic based information searching has become a standoff due to the inconsistencies and variations in the characteristics of the data. In the accomplished research, a web smart space framework has been proposed which introduces front end processing for a search engine to make the information retrieval process more intelligent and accurate. In orthodox searching anatomies, searching is performed only by using pattern matching technique and consequently a large number of irrelevant results are generated. The projected framework has insightful ability to improve this drawback and returns efficient outcomes. Designed framework gets text input from the user in the form complete question, understands the input and generates the meanings. Search engine searches on the basis of the information provided

Scaling Aspects of Lyari River Flow Routing

In this communication we utilize an improved version for model proposed by Manning for the waste flow via an open channel Lyari. We have computed the status of discharges, storages and depth for all locations of the Lyari waste flow using this proposed model. We have found that the result obtained using this model is good agreement for the recent data sets.Open Channel, Proposed Model, Flow, Storage, Depth, Comparison

Comparison of Local Infiltration of Bupivacaine and Tramadol in Post- Operative Pain Management in Children after Inguinal Herniotomy

Introduction: Adequate pain control is essential in immediate postoperativeperiod. Different methods are being used to provide pain management but none of these is completely effective. Regional blocks are becoming more popular then systemic opioids in all age groups due to efficacy and safety of agents used. The objective of this study was to establish the effectiveness of tramadol and bupivacaine for pain control after inguinal herniotomy in children.Materials and Methods: This randomized controlled trial was conducted at pediatric surgery department, services hospital Lahore over 2 years. Two hundred and eighty four cases randomly divided into two groups B (Bupivacaine) & T (Tramadol). Bupivacaine (dose of 2 mg/kg) in group B or Tramadol (2mg/kg) in group T was infiltrated in the wound. Postoperatively pain score was measured using Wong-Baker Faces pain scale (WBFPS) at 0,1,2,4 and 8 hours. Both groups experienced side effects.Results: Age and gender distribution in both groups were comparable. Pain score in both Groups was equal at 0- hours. However at 1-hour, 2-hour and 4-hour, pain score was slightly more in Group-B, But at 8-hours mean pain score was markedly raised in Group-B as compared to Group-T (3.32 ± 1.42 vs 2.45 ± 1.35). Only complication noted in patients was vomiting which was higher in Group T.Conclusion: Locally infiltrated Tramadol is a better choice than bupivacaine as a local anesthetic for pain management in children after inguinal herniotomy. Further research is needed to elucidate any benefits it may have in other surgeries

Co-Designing a Medication Notification Application with Multi-Channel Reminders

Evidence suggests that medication adherence applications (apps) are one of the most effective methods to remind patients to take medication on time. Reminders via apps are overwhelming today, consumers discard using them after a brief period of initial usage, eventually becoming unfavourable towards them and not using them at all. This study aims to qualitatively determine the key features and design of medication reminder apps that facilitate or disrupt usage from the users’ perceptive. Three focus groups were conducted with participants aged between 15 and 65+ (N= 12). The participants evaluated a smart medication reminder prototype, then sketched and discussed their thoughts and perceptions within the group. Participants identified, 1) Multi-channel reminders, 2) Medication intake acknowledgement for reporting and 3) Seamless addition of medications and associated reminders as important elements. Understanding consumers’ needs and concerns will inform the future development of medication reminder apps that are acceptable and valuable to consumers

Insights of Medication Adherence Management: A Qualitative Study with Healthcare Professionals and Technology Designers

Poor Medication Adherence (MA) remains a major challenge to ensuring good patient health. This qualitative study examines health professionals’ and health technology designers’ insights for improving this problem using mHealth. We interviewed twenty-three New Zealand health professionals and analysed the interviews using content analysis. In this paper, we discuss the four main themes that emerged from our analysis: 1) patient characteristics, 2) collaboration among members of the health team, 3) medication impact including effectiveness and side effects 4) technology acceptance. We present a conceptual model to visually summarise MA issues from healthcare professionals\u27 and technology designers’ perspective

Co-Designing a Medication Notification Application with Multi-Channel Reminders

Evidence suggests that medication adherence applications (apps) are one of the most effective methods to remind patients to take medication on time. Reminders via apps are overwhelming today, consumers discard using them after a brief period of initial usage, eventually becoming unfavourable towards them and not using them at all. This study aims to qualitatively determine the key features and design of medication reminder apps that facilitate or disrupt usage from the users perceptive. Three focus groups were conducted with participants aged between 15 and 65+ (N= 12). The participants evaluated a smart medication reminder prototype, then sketched and discussed their thoughts and perceptions within the group. Participants identified, 1) Multi-channel reminders, 2) Medication intake acknowledgement for reporting and 3) Seamless addition of medications and associated reminders as important elements. Understanding consumers needs and concerns will inform the future development of medication reminder apps that are acceptable and valuable to consumers

Assessment of Environment of Pediatric Surgery Residents of Pakistan using PHEEM

Introduction: Different countries have their own residency programs in order to train new residents in the field of medicine. Some of these programs are very efficient while some have room to improve, especially in developing countries. These residency programs can play an important role in producing great consultants in the future. So it is very important to evaluate the residency program of a country so as to make sure their residents receive quality training.Materials and Methods: A cross-sectional survey was conducted in Pakistan using PHEEM questionnaire; for assessment of educational environment of pediatric surgery post graduate residents (PGR’s) of Pakistan. A questionnaire was sent to all 95 pediatric surgery residents via E-mail in February 2017 and SPSS 20 was used to analyze data.Results: The response rate from pediatric surgery PGR’s was 48.4% (n= 45).The mean age of participants was 29.69 ± 2.71 years. Most of the participants were male (76%) and in 5th year of residency (39.13%). The high scored items (mean >2.5) were only 3: question 9, 17 and 26. The mean PHEEM total score was found to be 63.06 ± 16.77. When categorized into global scales, most of the residents (84.4%) labeled educational environment into level 2. Mean PHEEM score was found significantly higher among female and those residing in province ‘Sindh’.Conclusion: We conclude that although educational environment depends upon and varies with many factors; overall it is not reported to be satisfactory by pediatric surgery PGR’s across our country. Authorities urgently need to look into the matter and take serious actions in order to improve the quality of our future consultants

Optimising HYBRIDJOIN to Process Semi-Stream Data in Near-real-time Data Warehousing

Near-real-time data warehousing plays an essential role for decision making in organizations where latest data is to be fed from various data sources on near-real-time basis. The stream of sales data coming from data sources needs to be transformed to the data warehouse format using disk-based master data. This transformation process is a challenging task due to slow disk access rate as compare to the fast stream data. For this purpose, an adaptive semi-stream join algorithm called HYBRIDJOIN (Hybrid Join) is presented in the literature. The algorithm uses a single buffer to load partitions from the master data. Therefore, the algorithm has to wait until the next disk partition overwrites the existing partition in the buffer. As the cost of loading the disk partition into the buffer is a major cost in the total algorithm’s processing cost, this leaves the performance of the algorithm sub-optimal. This paper presents optimisation of existing HYBRIDJOIN by introducing another buffer. This enables the algorithm to load the second buffer while the first one is under join execution. This reduces the time that the algorithm wait for loading of master data partition and consequently, this improves the performance of the algorithm significantly