A Constraint-Based Dental School Timetabling System

AI Magazine ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 53
Author(s):  
Hadrien Cambazard ◽  
Barry O'Sullivan ◽  
Helmut Simonis
Keyword(s):  
University Hospital ◽  
Dental School ◽  
Automated System ◽  
Mixed Integer ◽  
Analysis Tool ◽  
Course Scheduling ◽  
Java Application ◽  
School Timetabling ◽  
Programming Solution ◽  
University Course

We describe a constraint-based timetabling system that was developed for the dental school based at Cork University Hospital in Ireland. This sy stem has been deployed since 2010. Dental school timetabling differs from other university course scheduling in that certain clinic sessions can be used by multiple courses at the same time, provided a limit on room capacity is satisfied. Starting from a constraint programming solution using a web interface, we have moved to a mixed integer programming-based solver to deal with multiple objective functions, along with a dedicated Java application, which provides a rich user interface. Solutions for the years 2010, 2011 and 2012 have been used in the dental school, replacing a manual timetabling process, which could no longer cope with increasing student numbers and resulting resource bottlenecks. The use of the automated system allowed the dental school to increase the number of students enrolled to the maximum possible given the available resources. It also provides the school with a valuable “what-if” analysis tool.

scholarly journals Analysis of Caesarean Section Rates Using the Robson Classification System at a University Hospital in Spain

2020 ◽  
Vol 17 (5) ◽  
pp. 1575 ◽  
Author(s):  
Rafael Vila-Candel ◽  
Anna Martín ◽  
Ramón Escuriet ◽  
Enrique Castro-Sánchez ◽  
Francisco Javier Soriano-Vidal
Keyword(s):  
Classification System ◽  
Weighted Least Squares ◽  
University Hospital ◽  
Analysis Tool ◽  
Least Squares Regression ◽  
Clinical Method ◽  
Robson Classification ◽  
Relative Contribution ◽  
Group 4 ◽  
Group 2

Background: The WHO recommends the use of the Robson ten-group classification system (RTGCS) as an effective monitoring and analysis tool to assess the use of caesarean sections (CS). The present study aimed to conduct an analysis of births using the RTGCS in La Ribera University Hospital over nine years and to assess the levels and trends of CS births. Methods: Retrospective study between January 1, 2010, and December 31, 2018. All eligible women were allocated in RTGCS to determine the absolute and relative contribution made by each group to the overall CS rate; linear regression and weighted least squares regression analysis were used to analyze trends over time. The risk of CS of women with induced versus spontaneous onset of labor was calculated with an odds ratio (OR) with a 95% CI. Results: 16,506 women gave birth during the study period, 19% of them by CS. Overall, 20.4% of women were in group 1 (nulliparous, singleton cephalic, term, spontaneous labor), 29.4% in group 2 (nulliparous, singleton cephalic, term, induced labor or caesarean before labor), and 12.8% in group 4 (multiparous, singleton cephalic, term, induced or caesarean delivery before labor) made the most significant contributions to the overall rate of CS; Conclusions: In our study, Robson Groups 1, 2, and 4, were identified as the main contributors to the hospital’s overall CS rate. The RTGCS provides an easy way of collecting information about the CS rate, is a valuable clinical method that allows standardized comparison of data, and time point, and identifies the groups driving changes in CS rates.

scholarly journals A Flexible Analysis Tool for the Quantitative Acoustic Assessment of Infant Cry

2013 ◽  
Vol 56 (5) ◽  
pp. 1416-1428 ◽  
Author(s):  
Brian Reggiannini ◽  
Stephen J. Sheinkopf ◽  
Harvey F. Silverman ◽  
Xiaoxue Li ◽  
Barry M. Lester
Keyword(s):  
Acoustic Analysis ◽  
Ground Truth ◽  
High Accuracy ◽  
Frame Rate ◽  
Automated System ◽  
Detection Methods ◽  
Analysis Tool ◽  
Infant Cry ◽  
Basic And Applied Research ◽  
Audio Files

Purpose In this article, the authors describe and validate the performance of a modern acoustic analyzer specifically designed for infant cry analysis. Method Utilizing known algorithms, the authors developed a method to extract acoustic parameters describing infant cries from standard digital audio files. They used a frame rate of 25 ms with a frame advance of 12.5 ms. Cepstral-based acoustic analysis proceeded in 2 phases, computing frame-level data and then organizing and summarizing this information within cry utterances. Using signal detection methods, the authors evaluated the accuracy of the automated system to determine voicing and to detect fundamental frequency (F 0 ) as compared to voiced segments and pitch periods manually coded from spectrogram displays. Results The system detected F 0 with 88% to 95% accuracy, depending on tolerances set at 10 to 20 Hz. Receiver operating characteristic analyses demonstrated very high accuracy at detecting voicing characteristics in the cry samples. Conclusions This article describes an automated infant cry analyzer with high accuracy to detect important acoustic features of cry. A unique and important aspect of this work is the rigorous testing of the system's accuracy as compared to ground-truth manual coding. The resulting system has implications for basic and applied research on infant cry development.

scholarly journals Developing a Model for the University Course Timetabling Problem: A Case Study

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Mozhgan Mokhtari ◽  
Majid Vaziri Sarashk ◽  
Milad Asadpour ◽  
Nadia Saeidi ◽  
Omid Boyer
Keyword(s):  
Programming Model ◽  
Mixed Integer ◽  
University Course Timetabling ◽  
Proposed Model ◽  
Engineering Department ◽  
Academic Settings ◽  
Teachers And Students ◽  
Course Timetabling Problem ◽  
University Course ◽  
The University

Over recent years, timetable programming in academic settings has become particularly challenging due to such factors as the growing number of students, the variety of lectures, the inadequacy of educational facilities in some areas, and the incorporation of teachers and students’ preferences into the schedule. Many researchers, therefore, have been formulating the problem of timetabling lectures using different methods. In this research, a multiobjective mixed-integer programming model was developed to provide a timetable for the postgraduate courses at the Industrial Engineering Department of Islamic Azad University, Najafabad Branch (IAUN). The proposed model minimized the violation of the lecturers and educational priorities, the student travel time between classes, and the classes’ surplus capacity. To convert the multiobjective model into a single one, the ε-constraint method was adopted, and the model’s accuracy and feasibility were examined through a real example solved by the CPLEX solver of GAMS software. The results approved the efficiency of this model in preparing a timetable for university lectures.

scholarly journals Implementasi Algoritma Kunang-Kunang Untuk Penjadwalan Mata Kuliah di Universitas Ma Chung

2015 ◽  
Vol 6 (4) ◽  
Author(s):  
Hendry Setiawan ◽  
Lo Hanjaya Hanafi ◽  
Kestrilia Rega Prilianti
Keyword(s):  
Light Intensity ◽  
Resource Sharing ◽  
Firefly Algorithm ◽  
Course Scheduling ◽  
S Parameters ◽  
Lower Light ◽  
University Course ◽  
Complex Matter ◽  
Lower Light Intensity

Abstract. Course scheduling is considered as a complex matter because the generated schedule must guarantee that there are no clashes of classes, lecturers, and students’ schedules. At Ma Chung University, course scheduling is still accomplished manually. Due to the limited number of rooms and lecturers r, resource sharing system is applied. This causes complication in manual scheduling. Firefly algorithm is implemented in this application to schedule the course automatically. A schedule solution is represented as a firefly. Firefly with lower light intensity will move toward firefly with higher light intensity, so that a better solution is found. Based on a scheduling test, the best light intensity value of firefly is reached when firefly algorithm’s parameters, β0 and γ, are given 1 and 10 with light intensity value of 0,0003831. Keywords: course, firefly algorithm, scheduling  Abstrak. Penjadwalan mata kuliah merupakan hal yang kompleks karena jadwal yang dihasilkan tidak hanya menjamin jadwal pertemuan semua kelas dan dosen tidak bentrok, tetapi juga menjamin jadwal pertemuan semua mahasiswa tidak bentrok. Penjadwalan mata kuliah di Universitas Ma Chung masih dilakukan secara manual. Karena jumlah kelas dan dosen yang dimiliki terbatas, maka diterapkan sistem resource sharing. Sistem resource sharing ini membuat proses penjadwalan yang dilakukan secara manual menjadi lebih rumit. Algoritma yang digunakan untuk penjadwalan mata kuliah pada aplikasi ini adalah algoritma kunang-kunang. Sebuah solusi jadwal mata kuliah dalam algoritma kunang-kunang direpresentasikan sebagai seekor kunang-kunang. Kunang-kunang dengan intensitas cahaya yang lebih rendah akan bergerak menuju kunang-kunang yang lebih terang sehingga mampu didapatkan solusi jadwal mata kuliah yang lebih baik. Berdasarkan hasil uji coba, nilai intensitas cahaya terbaik didapatkan ketika parameter algoritma kunang-kunang, β0 dimasukkan 1 dan γ dimasukkan 10 hingga didapatkan intensitas sebesar 0,0003831. Kata Kunci: algoritma kunang-kunang, mata kuliah, penjadwalan

scholarly journals β-lactamase genes in carbapenem resistance Acinetobacter baumannii isolates from a Turkish university hospital

2019 ◽  
Vol 13 (01) ◽  
pp. 50-55
Author(s):  
Umut Safiye Say Coskun ◽  
Emel Caliskan ◽  
Asegul Copur Cicek ◽  
Halbay Turumtay ◽  
Cemal Sandalli
Keyword(s):  
Acinetobacter Baumannii ◽  
Resistance Genes ◽  
Antimicrobial Agents ◽  
Low Frequency ◽  
Carbapenem Resistance ◽  
University Hospital ◽  
High Rate ◽  
Automated System ◽  
Diffusion Method ◽  
Disk Diffusion Method

Introduction: The spread of Acinetobacter baumannii, resistant to most of the available antimicrobial agents, is a serious health problem. The high rate of carbapenem resistance among Acinetobacter baumannii isolates is considered as a threat to public health. In this study, we aimed to determine the antibiotic resistance and related genes in carbapenem-resistant Acinetobacter baumannii isolates. Methodology: Ninety six isolates of A. baumannii were included. Antimicrobial susceptibility was performed by Phoenix Automated System and disk diffusion method. Carbapenem resistane was characterized by scrneeing of resistance genes such as blaTEM, blaSHV, blaCTX-M1-2, blaPER, blaVEB, blaKPC, blaGES, blaNDM, blaVIM, blaIMP and blaOXA23-24-51-58 using multiplex polymerase chain reaction. Results: Resistance for the levofloxacin, gentamicin, amikacin, and tigecycline were determined as 96.9%, 93.7%, 72.9% and 45.8% respectively. Colistin was the only susceptible antibiotic against all clinical isolates. All isolates were defined as multidrug resistance and of these, 31.2% were extensively drug-resistant (sensitive only to colistin). BlaOXA-51­  and blaOXA-23 genes were detected in 100% strains while blaTEM was found in only 2% strains. There was no amplification for the blaSHV, blaCTX-M1-2, blaPER, blaVEB, blaKPC, blaGES blaNDM, blaVIM, blaIMP and blaOXA24-58 genes. Conclusions: The high frequency of blaOXA-23 and low frequency of blaTEM gene was observed that indicate prevalence of a variety of A. baumannii strains. The rates of resistance genes vary from region to region. Studies are required for the prevention and control of A. baumannii infection and to formulate the strategies of antibiotic usage.

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