Social media and gynecologic cancers: The impact of Twitter #GYNCSM.

e14113 Background: Patients (pts) with gynecologic malignancies look for support and information outside traditional clinical settings. We report the results of a needs assessment of the GYN Cancer Social Media (#gyncsm) Twitter community. Methods: An online needs assessment was publicized on Twitter using the #gyncsm hashtag in 2019 for 23 days. Percentages were calculated to provide observational data. Results: Of 33 respondents, 26 (79%) were pts, 7 (21%) healthcare providers, 2 (6%) cancer researchers, and 1 (3%) caregiver. 15 (60%) pts reported having ovarian cancer; 6 (24%) endometrial/uterine cancer; 2 (8%) sarcoma; 2 (8%) breast cancer; and 1 (4%) vulvar cancer. Participating providers were gynecologic oncologists 3 (21%); pharmacists 2 (14%); medical and radiation oncologist, researcher, social worker therapist and genetic counselor 1 (7%) each. 41% (13) reported tweeting and retweeting #gyncsm tweets; 22% (11) read the blog posts or transcripts of a twitter chat; 28% (9) followed or participated in a twitter chat. Chat topics with importance are shown in the Table. Pts reported that #gyncsm twitter chat helped them advocate for themselves (9, 60%); learn about genetic testing (7, 46%); and investigate clinical trials (4, 26%). Conclusions: Social media has a role in healthcare, especially in pt education and empowerment. Side effects, toxicity, and communication were topics of interest. Inclusion of cervical cancer pts and rare malignancies should be a priority. [Table: see text]

An algorithm for fuzzy soft set based decision making approach

The notion of soft set theory was initiated as a general mathematical tool for handling ambiguities. Decision making is viewed as a cognitive-based human activity for selecting the best alternative. In the present time, decision making techniques based on fuzzy soft sets have gained enormous attentions. On this development, this paper proposes a new algorithm for decision making in fuzzy soft set environment by hybridizing some existing techniques. The first novelty is the idea of absolute scores. The second concerns the concept of priority table in group decision making problems. The advantages of our approach herein are stronger power of objects discrimination and a well-determined inference.

Olga Pankratievna Teslenko, the Enthusiast and Innovator of Scientific Research: to the 50th Anniversary of the First Edition of the Library Bibliographic Classification

The article examines the biography of Olga Pankratieva Teslenko (1911—1974), the eminent library scientist, developer and the first chief editor of the Library bibliographic classification (LBC). Her name is inextricably linked with the history of the national Library bibliographic classification and introduction of LBC in the practice of libraries.The purpose of the article is to reveal the significance of personality of the scientific supervisor in the formation of potential of sustainable development of the national classification system, ensuring its fundamental nature, comprehensiveness and integrity at all stages of the LBC development.The completion of publication of LBC schedules for scientific libraries (1960—1968) became an outstanding event in the national library science. Theoretical development of the LBC was most fully reflected in the Introduction to the Classification and in the numerous articles published in special periodicals. There were formulated theoretical and philosophical principles of LBC construction, substantiated the sequence of the main classes, the principles of classification of sciences. O.P. Teslenko has developed the priority table of LBC index signs for their automatic ordering. O.P. Teslenko made significant contribution to the study of issues related to the use of LBC as a language for automated information search. She carried out a lot of work on the analysis of LBC schedules in the light of the requirements of the automated information retrieval system (IRS) and developed the program of schedule optimization. As scientific supervisor, O.P. Teslenko created organizational structure for coordinating activity with the largest libraries of the country, their interaction with scientific and branch institutions and organizations cooperating in the development of the national classification.O.P. Teslenko’s articles on LBC, published in press, have found the response abroad, were translated into many languages and still serve as a source of theoretical and methodological basis in research studies on classification of sciences and library and information activities.

A PAN-CANADIAN STUDY ON THE COMPOUNDED MEDICINES MOST IN NEED OF COMMERCIALIZED ORAL PEDIATRIC FORMULATIONS

BACKGROUND A large number of drugs administered to children have no commercially available formulations. As a result, health care providers and parents manipulate dosage forms designed for adults. Although compounding is essential to increase access to medicines for children, it can result in adverse events or therapeutic failure. There is an urgent need to undertake a mapping of the needs for child-friendly medicines in Canada. OBJECTIVES To determine: 1) the most frequently compounded medicines in Canadian paediatric hospitals; 2) the challenges associated with drug compounding; and 3) medicines most in need of commercialized oral paediatric formulations. DESIGN/METHODS Sixteen Canadian paediatric academic hospitals were contacted to participate in a telephone survey including 12 open-, close-ended or Likert-scale questions. RESULTS Thirteen centers participated in the survey (81.3%). Fifty-three drugs were identified as most in need of a commercialized oral paediatric formulation. Of those, 12 were reported by ≥4 hospitals as a priority (Table). The most frequently reported compounding challenges were: lack of standardization, bad taste, lack of awareness of prescribers, stability of the formulation, and availability of compounding pharmacies. CONCLUSION This study highlights which drugs are most needed for paediatric oral formulations in Canada. For compounded medicines with paediatric formulations available in other countries we are currently assessing their adequacy and partnering with pharmaceutical industry to bring them to the Canadian market. As for those medicines without paediatric formulations in Canada or abroad we are looking for partners interested in developing such formulations. Furthermore, harmonized regulations and data-sharing should be pursued to facilitate access to child-friendly medicines.

Premature clinical trial discontinuation in all and genitourinary (GU) cancers in the era of immune checkpoint inhibitors (ICI).

394 Background: Clinical trial completion is critical for evaluating new therapies. Premature termination or withdrawal of clinical trials is common, impairs progress and results in waste of resources. We assessed features and reasons of early terminated and withdrawn cancer trials focusing on trials with ICI (anti-CTLA-4, anti-PD-1, anti-PD-L1). Methods: We reviewed all adult, intervention, cancer clinical trials registered in ClinicalTrials.gov from November 16, 2011 to April 16, 2015 to identify all early terminated and withdrawn trials. Reasons for termination were captured. Logistics regression model was used to identify factors associated with early termination or withdrawal. Discontinuation rate was compared between ICI and all trials (χ2); p < 0.05 was set as significant. Results: We identified 12875 clinical trials (35% industry-funded, 12% federal-funded; 772 in prostate and 386 in non-prostate GU cancers); 8.5% of all trials were prematurely terminated (5%) or withdrawn (3.5%); main reason for discontinuation was poor accrual (33%) followed by logistical reasons (26%). When comparing trials with ICI (n = 350) to all cancer trials, lower rate of termination or withdrawal was noted with ICI [5.4% vs 8.5%, p = 0.05]. Trials with ICI were less likely to discontinue due to poor accrual compared to all trials, but the difference was not significant (21% vs 33%, p = 0.4). Of the 1158 GU cancers trials, 75 (6.5%) were prematurely terminated and 56 (4.8%) withdrawn; reasons for discontinuation are shown in the table. Conclusions: Poor accrual represents the main cause of early termination of all cancer clinical trials. Premature termination/withdrawal rate appears lower in ICI trials which may be attributed to accrual differences. Clinical trial completion remains a high priority. [Table: see text]

Design and Application of Task Scheduling Module Based on Priority Table Query in Wireless Sensor Network Node

Event-driven systems and thread-driven systems are two major design philosophies of operating system in wireless sensor networks. Systems based on multi-threaded are more timeliness than the event-driven systems, which can meet the requirements of time-critical tasks by means of task preemption, while systems based on event-driven are more energy efficient.The article introduces a task scheduling module in event-driven system. The module takes a kind of priority table query method to choose the most important task with highest priority to schedule.It is seen that the module is suitable wireless sensor network.

A Real-Time Scheduling Algorithm Based on Priority Table

Among preemptive real-time uniprocessor scheduling algorithms, many researches, such as optimal and heuristic algorithms, considers only one task attribute and neglects also the variation of attributes. To understand the relations between task attributes and scheduling success ratio, we first define the sensitivity of scheduling success ratio to task attributes. Sensitivity means the intensity of variation of scheduling success ratio as task attributes varies. The paper analyzes the sensitivities of scheduling success ratio to arrival time, execution time, deadline and laxity respectively, which have close relations with scheduling. Based on the definition of sensitivity, we also define attributes influence on scheduling success ratio, which is that the greater the influence, the higher the ratio. The essence of dynamic scheduling is a scheduling based on priority, with each dynamic algorithm matching a priority table, and vice versa. It is also much easier to infer the algorithm from the priority table, which can consider several task attributes. As priority table has various designs, it can correspond to a lot of algorithms, among which, many are inefficient. In order to deal with this kind of problem, we propose a new priority table design PTBM combining deadline and laxity based on the analysis of sensitivity and influence, which makes that a task with small deadline and large laxity has higher priority. We compare PTBM with EDF, LLF and PTD through simulation. The results verify the analysis of sensitivity and influence, and it also shows that PTBM outperforms on scheduling success ratio. It needs further exploration to design more efficient priority table by analyzing more task attributes influence on scheduling success ratio, which includes criticalness, task type and so on.