Internal marketing - a pretence

Internal Marketing has yet to be fully conceptualized and is still in its nascent stages. Based on the extensive research done in the field and related fields, a potential framework and measurement scale is proposed which might be used by practitioners and researchers alike. As such the concept of internal marketing has been revisited in the light of current research and a descriptive conceptualization of the field is provided, in the hope that it will help practitioners better accept the field and practice it

Mobile Application for Travelling Activities- “Travel Mate”

The paper depicts travel guidance application on the android OS with the comparative analysis by grouping classification of mobile travel applications accessible at the moment for tourists in application stores for most popular mobile operation systems (Android and iOS). The most interesting classification is “Travel Partner” that combines “Information Resources” and “Location-Based Services” category

Aligners vs. Braces: Choosing the Right Treatment

In recent times, there have been notable strides in orthodontic treatments, presenting a multitude of choices for individuals seeking straighter teeth and a more appealing smile. To cater to the increasing demand for aesthetic alternatives to traditional braces, researchers have developed various options. These alternatives encompass ceramic or composite braces, lingual orthodontics, and transparent aligners. Among these alternatives, Invisalign aligners stand out as custom-made, transparent, and thin plastic aligners designed to gradually reposition teeth. This survey aims to evaluate disparities in the quality of life experienced by individuals undergoing treatment with clear aligners versus those receiving conventional orthodontic care

Survey, Overview and Performance Evaluation Of Proactive, Reactive and Hybrid Routing Protocol

A mobile ad hoc network (MANET) is a repetitively self-configuring, mobile wireless node. Routing can takes place proactively (table-driven), reactively (on demand) or in a hybrid manner. This paper, attempts to contribute a study and comparison of reactive, proactive and hybrid routing protocol and comparing their different parameters. It also attempts to compare one of the best algorithms of each of the protocol. DOI: 10.17762/ijritcc2321-8169.150611

A study of chronic kidney disease patients with no known risk factors coming to tertiary care hospital

Background: Chronic kidney disease (CKD) has become a major cause of morbidity and. in some parts of the world CKD incidence has increased regardless of hypertension, diabetes mellitus or metabolic syndrome. This study was done to identify the unknown factors which can be contributing to the increased incidence of CKD.Methods: It was a case control study. There were 61 cases and 50 controls. A detailed history regarding residence, occupation, addiction, drug intake, family history, diet and environmental factors was taken. The data was analysed to identify a common factor amongst the CKD patients who did not have history of any known risk factors of CKD.Results: Age of onset of CKD in 48% of cases was 5 years (30%) as compared to controls. Much more cases as compared to controls gave history of mixed diet (46% vs 26%). Much higher proportion of cases had history of heat exposure, excessive heating and sugarcane exposure (72%, 70% and 48% respectively) as compared to controls.Conclusions: This study supports the association of sugarcane exposure, heat exposure and excessive sweating with CKD and reports a changing trend of renal involvement starting at an earlier age. It highlights need of study with sufficient sample size and greater emphasis on family history, smoking, extent of heat exposure and sugarcane exposure to help identifying area of further research and guide policy making

Functional outcome of arthroscopic labral repair in adults for traumatic shoulder instability: a prospective study

Background: Anterior shoulder instability is often treated either by open procedure or arthroscopic method. present study to assess the functional outcome of the patients with recurrent dislocation of shoulder with Bankart lesion, treated with arthroscopic stabilization to evaluate shoulder function with labral tear and after repair of labral tear, to study epidemiology of labral tear and to study epidemiology of associated lesions. Methods: Prospective study in the 25 consented patients admitted in the orthopaedics department in new civil hospital Surat with different shoulder injury after IEC approval. Statistical analyses done in MS excel. Results: Mean age at time of first dislocation was 30 year and most (50%) were of 20-30 years. Most patients were males (92%). 84% of the cases, the dominant side is involved, right shoulder. Number of episodes of recurrent dislocation prior to surgery averaged 5 times. most common mechanism was Accidental fall (48%) followed by sports (32%), RTA (20%). Association of Hill-Sachs lesions was 80% with labral-tear secured with extra suture anchor. Preoperative parameters; number of dislocations, chronicity, reduction method do not have any significance on outcome. Rowe-score improved from 40.2% Preoperatively to 89.8% postoperatively at 12 weeks. 80% of patients is having excellent outcome. Conclusions: Arthroscopic Bankart’s repair is gold standard for labral tear due to recurrent shoulder dislocation which led to short surgery time, less intraoperative and postoperative complications, increased shoulder function among patients. Associated Hill Sach’s lesion should be repaired for better functional outcome

Touchless Typing using Head Movement-based Gestures

Physical contact-based typing interfaces are not suitable for people with upper limb disabilities such as Quadriplegia. This paper, thus, proposes a touch-less typing interface that makes use of an on-screen QWERTY keyboard and a front-facing smartphone camera mounted on a stand. The keys of the keyboard are grouped into nine color-coded clusters. Users pointed to the letters that they wanted to type just by moving their head. The head movements of the users are recorded by the camera. The recorded gestures are then translated into a cluster sequence. The translation module is implemented using CNN-RNN, Conv3D, and a modified GRU based model that uses pre-trained embedding rich in head pose features. The performances of these models were evaluated under four different scenarios on a dataset of 2234 video sequences collected from 22 users. The modified GRU-based model outperforms the standard CNN-RNN and Conv3D models for three of the four scenarios. The results are encouraging and suggest promising directions for future research.Comment: *The two lead authors contributed equally. The dataset and code are available upon request. Please contact the last autho

DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record

Machine learning (ML) applications in healthcare are extensively researched, but successful translations to the bedside are scant. Healthcare institutions are establishing frameworks to govern and promote the implementation of accurate, actionable and reliable models that integrate with clinical workflow. Such governance frameworks require an accompanying technical framework to deploy models in a resource efficient manner. Here we present DEPLOYR, a technical framework for enabling real-time deployment and monitoring of researcher created clinical ML models into a widely used electronic medical record (EMR) system. We discuss core functionality and design decisions, including mechanisms to trigger inference based on actions within EMR software, modules that collect real-time data to make inferences, mechanisms that close-the-loop by displaying inferences back to end-users within their workflow, monitoring modules that track performance of deployed models over time, silent deployment capabilities, and mechanisms to prospectively evaluate a deployed model's impact. We demonstrate the use of DEPLOYR by silently deploying and prospectively evaluating twelve ML models triggered by clinician button-clicks in Stanford Health Care's production instance of Epic. Our study highlights the need and feasibility for such silent deployment, because prospectively measured performance varies from retrospective estimates. By describing DEPLOYR, we aim to inform ML deployment best practices and help bridge the model implementation gap