The use of Lecturer Based Supportive Tools (LBST) as Data Provider for Indonesian Lecturer Administrative Problems

Recently, Indonesia has more than 3.000 Higher Education Institutions, 300.000 lecturers, and 7.8 million higher education students. To handle those numerous stakeholders, Directorate General Higher Education Indonesia Government (DGHEI - as the regulator of higher education institutions) has been developed several websites as Information Systems (IS). The developed information system was used to manage information that attached on the stakeholders entities. Those information entities were projected for open public data access. In other hand, the Information Systems that offered by DGHEI are not only single information system. But also several information system that not integrated yet become single portal. Moreover, DGHEI regulates lecturers to upload their entities such as portfolios and other supporting documents developed IS's. However, this will be cause a time consuming, repetition activities and data redundant. Those problems are called administrative problems. In the meantime, our current development Lecturer Based Supportive Tool (LBST) has been developed as lecturer assistance to enrich learning materials on limited bandwidth condition. This paper discusses the use of LBST as Data Provider to solve the administrative problems that has been occurred in Indonesia higher education environments. Instead of uploading into DGHEI information systems, lecturers eager to use LBST as an alternative systems that offered by DGHEI. As a result, LBST could be driven into data provider that provides information that needed by DGHEI or other data customers

Developing Moodle Plugin for Creating Learning Content with Another REST Function Call

The Moodle REST function calls enables third party applications having access to the Moodle database's through Moodle web services and REST (Representational state transfer) protocols. The access could be as learning content creation. According to Moodle architecture, the learning content creation, need to be placed on Moodle section tables. This is shown, a third party application should make or use the Moodle section when making a course. The 'section' is the most essential component on Moodle. Because, the 'section' contain documents, assignments, quiz for learners. However, some Moodle REST function calls, such as creating the "section" on Moodle courses, have not been implemented in the Moodle system, yet. And for our current development applications, it need to have an access to create complete learning content on section tables. With developing Moodle plugins, possibly create learning content in the Moodle sections, but needed Moodle REST function call to access developed plugin. Therefore, we propose solutions that developed a Moodle plugin to create learning content and solve an unprovided Moodle REST function call by developed another Moodle REST function call. This paper presents our current development to enable creation of learning content from third party application, using the developed Moodle plugin. As a result, with the developed Moodle plugin, success to create learning content on Moodle LMS, and developed another Moodle REST function call

Synchronizing learning material on Moodle and lecture based supportive tool: The REST based approach

A lecturer's role are the important part for the success of any eLearning platform, include Moodle LMS. Because only lecturers that enrich learning materials. Unfortunately, Indonesia still faces the bandwidth gap that made difficulties to use Moodle as a daily basis. Moreover, it will become complex when lecturer decide to install it on a local machine. This paper presents supportive tool that not only for enrich learning materials in offline conditions with easy initiation steps, but also synchronize it on remote LMS using Moodle RE ST web service in order to share learning material in limited bandwidth

Incidence of gastrointestinal perforation associated with bevacizumab in combination with neoadjuvant chemotherapy as first-line treatment of advanced ovarian, fallopian tube, or peritoneal cancer: analysis of a Japanese healthcare claims database

[Objective] To assess the incidence of bevacizumab-associated gastrointestinal (GI) perforation during first-line treatment of patients with ovarian, fallopian tube, or peritoneal cancer receiving neoadjuvant chemotherapy (NAC) in Japanese real-world clinical practice. [Methods] A retrospective study was conducted using a healthcare claims database owned by Medical Data Vision Co., Ltd. (study period, 2008–2020). Patients who initiated first-line treatment of ovarian, fallopian tube, or peritoneal cancer were identified and divided into NAC and primary debulking surgery (PDS) groups. The incidence of bevacizumab-associated GI perforation was compared within the NAC group and between the groups. [Results] Paclitaxel + carboplatin (TC) was most commonly used as first-line treatment (39.5% and 59.6% in the NAC and PDS groups, respectively). TC + bevacizumab was used in 9.3% and 11.6% of patients in the NAC and PDS groups, respectively. In the NAC group receiving TC, the proportion of patients with risk factors for GI perforation was lower among patients with versus without concomitant bevacizumab. The incidence of GI perforation in the NAC group was 0.38% (1/266 patients) in patients receiving TC + bevacizumab and 0.18% (2/1, 131 patients) in patients receiving TC without bevacizumab (risk ratio=2.13; 95% confidence interval [CI]=0.19 to 23.36; risk difference=0.20; 95% CI=−0.58 to 0.97). None of the 319 patients in the PDS group receiving TC + bevacizumab had GI perforation. [Conclusion] No notable increase was observed in GI perforation associated with NAC containing bevacizumab. We conclude that bevacizumab is prescribed with sufficient care in Japan to avoid GI perforation

MOODLE XML TO IMS QTI ASSESSMENT TEST PORTABILITY ON LEARNING MANAGEMENT SYSTEM

Learning Management Systems (i.e. LMS) is one of the most popular solutions towards the e-Learning objective in different universities all around the world, where this environments are used to not only deliver contents but to perform assessments, tests and other tasks related to learning. Although, there are popular LMS such as Moodle, and more developed, such as Chamilo, there is no assessment/test portability among their LMS. Each assessment export formats make difficult to transfer well done Moodle-based online courses into young platforms such as Chamilo. The purpose of this paper is to address this portability issue and to show possibility of exporting Moodle assessment data (i.e. Moodle XML), into a more standardized format, which is IMS Question & Test Interoperability (IMS QTI). That can be used not only in Chamilo, but also other LMSs globally. The present paper shows the first approach towards a more global portability tool in which not only assessments but the whole structure of the course could be easily exported to other platforms. Contribution of this work is providing data exchange between LMSs

Redefining Data Provider: The REST approach to solve Indonesia lecturer administrative problems.

Directorate General Higher Education Institution of Indonesia (DGHEI), request lecturers to provide data or report their academic activities as evidence of them. Lecturers needs to make a portfolio or other document specified by DGHEI. From now on we will call this administrative issues. These issues are becoming a problem when the DGHEI requests these reports from the Lecturers to be updated in the DGHEI Systems in a specific time frame. The present paper discusses the problems that appear in the current system. Some of the problems that Lecturers face are: DGHEI Information Systems service unavailability. As a result of this analysis, a new methodology is proposed in order to solve these issues and others. The new approach, using REST (Representational Sate Transfer) to provide the lecturer data in a distributed manner, allowing sharing capabilities to the current system

Biomarker-based Bayesian randomized phase II clinical trial design to identify a sensitive patient subpopulation.

The benefits and challenges of incorporating biomarkers into the development of anticancer agents have been increasingly discussed. In many cases, a sensitive subpopulation of patients is determined based on preclinical data and/or by retrospectively analyzing clinical trial data. Prospective exploration of sensitive subpopulations of patients may enable us to efficiently develop definitively effective treatments, resulting in accelerated drug development and a reduction in development costs. We consider the development of a new molecular-targeted treatment in cancer patients. Given preliminary but promising efficacy data observed in a phase I study, it may be worth designing a phase II clinical trial that aims to identify a sensitive subpopulation. In order to achieve this goal, we propose a Bayesian randomized phase II clinical trial design incorporating a biomarker that is measured on a graded scale. We compare two Bayesian methods, one based on subgroup analysis and the other on a regression model, to analyze a time-to-event endpoint such as progression-free survival (PFS) time. The two methods basically estimate Bayesian posterior probabilities of PFS hazard ratios in biomarker subgroups. Extensive simulation studies evaluate these methods' operating characteristics, including the correct identification probabilities of the desired subpopulation under a wide range of clinical scenarios. We also examine the impact of subgroup population proportions on the methods' operating characteristics. Although both methods' performance depends on the distribution of treatment effect and the population proportions across patient subgroups, the regression-based method shows more favorable operating characteristics

Change-point detection using diffusion maps for sleep apnea monitoring with contact-free sensors.

Monitoring and improving the quality of sleep are crucial from a public health perspective. In this study, we propose a change-point detection method using diffusion maps for a more accurate detection of respiratory arrest points. Conventional change-point detection methods are limited when dealing with complex nonlinear data structures, and the proposed method overcomes these limitations. The proposed method embeds subsequence data in a low-dimensional space while considering the global and local structures of the data and uses the distance between the data as the score of the change point. Experiments using synthetic and real-world contact-free sensor data confirmed the superiority of the proposed method when dealing with noise, and it detected apnea events with greater accuracy than conventional methods. In addition to improving sleep monitoring, the proposed method can be applied in other fields, such as healthcare, manufacturing, and finance. This study will contribute to the development of advanced monitoring systems that adapt to diverse conditions while protecting privacy