A Single Machine Scheduling Problem with Individual Job Tardiness based Objectives

377-382A multi-objective scheduling problem with specified release times and due dates for individual tasks is analysed in this study. Distinct tardiness value of each task j comprises the part of the objective, while it is desired to identify all non-dominated solutions. Tardiness values for a total number of n tasks complete a single solution making it an n-objective scheduling problem. Tardiness is treated here as a task specific objective, being different in the usual scheduling context. A branch and bound procedure is proposed for individual tardiness of tasks in multi-objective contexts. The procedure is illustrated with an example. Active schedule enumeration scheme with depth-first strategy for branching is used in branching while two different bounding schemes are tested. However, an improved bounding scheme to find better-quality need to be developed. Procedure is found to perform well on small scale problems. For an n-objective problem like this, a more robust data structure may further improve the performance of the procedure

A multidisciplinary approach to triage patients with breast disease during the COVID-19 pandemic: Experience from a tertiary care center in the developing world

Background: The COVID-19 pandemic has created a need to prioritize care because of limitation of resources. Owing to the heterogeneity and high prevalence of breast cancers, the need to prioritize care in this vulnerable population is essential. While various medical societies have published recommendations to manage breast disease during the COVID-19 pandemic, most are focused on the Western world and do not necessarily address the challenges of a resource-limited setting.Aim: In this article, we describe our institutional approach for prioritizing care for patients presenting with breast disease.Methods and results: The breast disease management guidelines were developed and approved with the expertise of the Multidisciplinary Breast Program Leadership Committee (BPLC) of the Aga Khan University, Karachi, Pakistan. These guidelines were inspired, adapted, and modified keeping in view the needs of our resource-limited healthcare system. These recommendations are also congruent with the ethical guidelines developed by the Center of Biomedical Ethics and Culture (CBEC) at the Sindh Institute of Urology and Transplantation (SIUT), Karachi. Our institutional recommendations outline a framework to triage patients based on the urgency of care, scheduling conflicts, and tumor board recommendations, optimizing healthcare workers\u27 schedules, operating room reallocation, and protocols. We also describe the Virtual Blended Clinics , a resource-friendly means of conducting virtual clinics and a comprehensive plan for transitioning back into the post-COVID routine.Conclusion: Our institutional experience may be considered as a guide during the COVID-19 pandemic, particularly for triaging care in a resource-limited setting; however, these are not meant to be universally applicable, and individual cases must be tailored based on physicians\u27 clinical judgment to provide the best quality care

Open-Belly Surgery in Omega 2

International audienceTeX and its successors, including the initial version of Omega, all suffer from the same technical limitations such as non-adequate support for TrueType/OpenType font formats or the lack of distinction between character and glyph data. In this paper, the authors present Omega2 that provides extensibility through both external modules and the texteme concept that supersedes TeX's tokens and nodes as well as characters and glyphs. Omega2's modules, while much more powerful than macros or OTPs, provide relatively easy access to Omega2's internals without need to touch the source code itself. Among immediate applications are full OpenType support (GSUB, GPOS, etc.), use of independent linguistic tools such as hyphenation algorithms, or support for Unicode's Bidirectional Algorithm

Open-belly surgery in Ω 2

yannis dot haralambous (at) enst-bretagne dot fr, gabor dot bella (at) enst-bretagne dot fr, atif dot gulzar (at) gmail dot com TEX and its successors, including the initial version of Ω, all suffer from the same technical limitations, such as inadequate support for TrueType/OpenType font formats and the lack of distinction between character and glyph data. In this paper, the authors present Ω 2, which provides extensibility through both external modules and the texteme concept that supersedes TEX’s tokens and nodes as well as characters and glyphs. Ω 2’s modules, while much more powerful than macros or ΩTPs, provide relatively easy access to Ω 2’s internals without needing to touch the source code itself. Among immediate applications are full OpenType support (GSUB, GPOS, etc.), use of independent linguistic tools such as hyphenation algorithms, and support for Unicode’s Bidirectional Algorithm

Transliterating Urdu for a Broad-Coverage Urdu/Hindi LFG Grammar

In this paper, we present a system for transliterating the Arabic-based script of Urdu to a Roman transliteration scheme. The system is integrated into a larger system consisting of a morphology module, implemented via finite state technologies, and a computational LFG grammar of Urdu that was developed with the grammar development platform XLE (Crouch et al. 2008). Our long-term goal is to handle Hindi alongside Urdu; the two languages are very similar with respect to syntax and lexicon and hence, one grammar can be used to cover both languages. However, they are not similar concerning the script – Hindi is written in Devanagari, while Urdu uses an Arabic-based script. By abstracting away to a common Roman transliteration scheme in the respective transliterators, our system can be enabled to handle both languages in parallel. In this paper, we discuss the pipeline architecture of the Urdu-Roman transliterator, mention several linguistic and orthographic issues and present the integration of the transliterator into the LFG parsing system