Library Community, K12 libraries In Turkey and the Importance of MIL For Everyone

International Talks: UIN Sunan Kalijaga Library Yogyakarta Indonesia, SLA Asia, and APPTIS – 08.19.202

Facility Location and Relocation Problem: Models and Decomposition Algorithms

We consider the facility location and relocation problem (FLRP). Due to demand change in this problem, we may need to close some existing facilities from low demand areas and open new ones in newly emerging areas. Specifically, we discuss three optimization problems in FLRP. The first problem is to locate a certain number of facilities at a point in time, knowing that demand is subject to change and the total number of facilities may increase in the future. We develop a binary integer programming (BIP) model to find a set of initial and future facility locations. Utilizing the block-angular structure of the model, a decomposition algorithm is proposed to solve the problem. The second problem is the robust facility relocation problem. Suppose we already have a set of facilities and the demand distribution over the network has changed, however, we do not know the actual changes of demand. Therefore, different scenarios with known probabilities are used to capture such demand changes. We present two approaches to solve this problem. In the first approach, we develop a BIP model that can determine α-reliable relocations that minimize the maximum regret associated with a set of scenarios whose cumulative probability is at least α. In the second approach, we develop a BIP model that minimizes the expected weighted distance and ensures that relative regret for each scenario is no more than γ. We propose a Lagrangean decomposition algorithm to solve this problem. The third problem, which is the dynamic facility location and relocation problem, is designed to find locations for facilities in the aftermath of disasters such as hurricanes and earthquakes, where the population is in need of essential commodities due to the lack of infrastructure. We develop three MIP models, each having different objectives, and propose a heuristic algorithm to solve this problem. Numerical experiments are made to show the efficiency and complexity of our optimization models.Industrial Engineering, Department o

Prognostic Factors Affecting Survival in Patients with Ovarian Cancer: A 5-Year Experience in an University Hospital

The aim if this study is to explore the impact of the various prognostic factors on overall survival in women with ovarian cancer (00). Patients diagnosed with gynecologic malignancy in Gynecology Clinic of Baskent University Medicine Faculty between 2010 and 2015 included to study. Patients with ovarian (n= 112) cancers examined retrospectively. Kaplan-Meier, Univariate and Multivariate Cox regression model were performed to estimate for associations of potential variables with survival factors. The mean patient age was 56.4 y, range 20-80. The overall survival was 94.3%, 83.4%, 66.4%, 54.7% and 42.8% at 1, 2 3, 4 and 5 years respectively (60.5 months, range 43-68). 3-year disease-free survival was 25.3% (18.3 months, range 17-20). Multivariate analysis of patients indicated that stage, histology, grade, age at diagnosis, comorbidity, recurrence, BMI, menopausal status and regional distance were independent prognostic factors on survival (p< 0.05). In conclusion, these results will presents a framework to identify fundamental causes in survival for OC

Genotyping of Vaginal Candida glabrata Isolates Using Microsatellite Marker Analysis and DNA Sequencing to Identify Mutations Associated with Antifungal Resistance

WOS: 000339539000012PubMed ID: 23390908Vulvovaginal candidosis is the second most common cause of vaginitis (17-39%) after bacterial vaginosis (22-50%). Since the diagnosis of vulvovaginal candidosis mainly depends on clinical findings without mycologic confirmatory tests and treated empirically, the actual incidence rate of vulvovaginal candidosis is unknown. Approximately 70-90% of vulvovaginal candidosis cases are caused by Candida albicans, however the increasing incidence of C.glabrata infections and its reduced susceptibility to azole drug therapy have generated increasing attention. The epidemiology and population structure of vulvovaginal candidosis due to C.glabrata are poorly characterized. This study was aimed to genotype the C.glabrata strains isolated from vaginal samples in Cukurova region, Turkey by microsatellite markers, to investigate the antifungal susceptibility profiles of the strains and to determine the molecular mechanisms leading to phenotypical azole resistance. A total of 34 unrelated vaginal C.glabrata strains isolated from patients with acute (n= 11) and recurrent (n= 14) vulvovaginal candidosis, control group (n= 9) without vaginitis symptoms, and a reference strain of C.glabrata CBS 138 (ATCC 2001) were included in the study. These isolates were genotyped using multiple-locus variable number tandem repeat analysis of three microsatellite markers (RPM2, MTI, and Cg6). Analysis of microsatellite markers was performed by fragment size determination of RPM2, MTI, and Cg6 PCR products through capillary electrophoresis. For each of the evaluated strains, DNA sequence analysis was performed for one gene (CgERG11) and four loci (CgPDR1, NTM1, TRP1, and URA3) to detect mutations possibly associated with antifungal resistance in each strain. In vitro susceptibility profiles of the strains to 13 antifungals and boric acid were determined according to CLSI document M27-A3 to investigate possible relationships between detected mutations and phenotypic resistance. C.glabrata CBS 138 strain was found to be susceptible to all the antifungals tested, while one of (%2.9) 34 vaginal C.glabrata isolates was found to be dose-dependent susceptible to fluconazole, 13 (38.2%) to itraconazole and 3 (8.8%) to voriconazole. No resistant strain were detected in the study population. Only three isolates were found to be resistant to clotrimazole (8.8%), however no relationship was identified between the genotypes and phenotypic resistance (p> 0.05). Thirteen genotypes were detected by microsatellite marker analysis, with high discrimination power (DP= 0.877). As a result, microsatellite marker analysis was validated as a rapid, reliable method for genotyping C.glabrata strains with good, but not optimal discriminatory power. Further studies examining larger numbers of isolates are needed to verify possible relationships between mutations and phenotypic resistance

The Project of Air Pollution Awareness: Interdisciplinary Community Service Practices

WOS: 000406441000003The aim of this research is to introduce an interdisciplinary project about air pollution that is organized and applied for Community Service Practice Course. In order to organize this project 32 pre-service primary school teachers and 120 students' awareness toward air pollution (4th grade) have been determined through The Air Pollution Awareness Questionnaire. The results obtained from the needs analysis indicate that learning environments need to be designed that focus on fundamental concepts, causes-effects, future situation and precautions in order to increase air pollution awareness. To achieve an interdisciplinary approach, a two stage learning environment has been designed by relating these focus points with Turkish, Social Studies, Science, Mathematics and Public Administration disciplines respectively. These two stages are preparing the discipline-based course plans and materials; and carrying out the interdisciplinary plans with students by pre-service teachers. In this article, the design, development and implementation process of this learning environment are presented in detail. As a result of this research, a roadmap for how to deal with the Community Service Practices Course in an interdisciplinary manner has been established

Real Life Multicenter Comparison of 24-Month Outcomes of Anti-VEGF Therapy in Diabetic Macular Edema in Turkey: Ranibizumab vs. Aflibercept vs. Ranibizumab-Aflibercept Switch

The aim of this study was to compare the outcomes of diabetic macular edema (DME) treated with aflibercept (AFB) or ranibizumab (RNB) only, and after switching from RNB to AFB. This was a retrospective, real-world, multicenter (7 cities) 24 month study. Overall, 212 eyes in the AFB group, 461 in the RNB group, and 141 in the RNB to AFB group were included. The primary endpoints were differences in visual acuity (VA) and central macular thickness (CMT) from baseline to the final visit. The secondary outcomes were the percentage of eyes that achieved ≥10 letters gain and ≥10 letters loss in vision at month 12 and 24, and the percentage of eyes that achieved a thinning of ≥20% in CMT at month 3 and month 6. The results showed that VA did not significantly differ at baseline (AFB: 0.62 ± 0.38, RNB: 0.61 ± 0.36, RNB to AFB: 0.61 ± 0.38), at checkpoints, or at the final visit (AFB: 0.46 ± 0.38, RNB: 0.5 ± 0.37, RNB to AFB: 0.53 ± 0.36) (p > 0.05). Though the mean CMT at baseline was significantly thicker in the RNB to AFB group (479 ± 129.6 μm) when compared to the AFB (450.5 ± 122.6 μm) and RNB (442 ± 116 μm) groups (p < 0.01), similar measurements were obtained after 12 months. The percentages of eyes that gained or lost ≥10 letters in the AFB, RNB, and RNB to AFB groups at year 1 and 2 were similar, as was the percentages of eyes that demonstrated ≥20% CMT thinning at month 3 and 6. Our study showed similar visual improvements in non-switchers (AFB and RNB groups) and switchers (RNB to AFB group) through 2 years follow-up, however, AFB patients required fewer injections, visits, or need for additional treatments

Real Life Multicenter Comparison of 24-Month Outcomes of Anti-VEGF Therapy in Diabetic Macular Edema in Turkey: Ranibizumab vs. Aflibercept vs. Ranibizumab-Aflibercept Switch

The aim of this study was to compare the outcomes of diabetic macular edema (DME) treated with aflibercept (AFB) or ranibizumab (RNB) only, and after switching from RNB to AFB. This was a retrospective, real-world, multicenter (7 cities) 24 month study. Overall, 212 eyes in the AFB group, 461 in the RNB group, and 141 in the RNB to AFB group were included. The primary endpoints were differences in visual acuity (VA) and central macular thickness (CMT) from baseline to the final visit. The secondary outcomes were the percentage of eyes that achieved &ge;10 letters gain and &ge;10 letters loss in vision at month 12 and 24, and the percentage of eyes that achieved a thinning of &ge;20% in CMT at month 3 and month 6. The results showed that VA did not significantly differ at baseline (AFB: 0.62 &plusmn; 0.38, RNB: 0.61 &plusmn; 0.36, RNB to AFB: 0.61 &plusmn; 0.38), at checkpoints, or at the final visit (AFB: 0.46 &plusmn; 0.38, RNB: 0.5 &plusmn; 0.37, RNB to AFB: 0.53 &plusmn; 0.36) (p &gt; 0.05). Though the mean CMT at baseline was significantly thicker in the RNB to AFB group (479 &plusmn; 129.6 &mu;m) when compared to the AFB (450.5 &plusmn; 122.6 &mu;m) and RNB (442 &plusmn; 116 &mu;m) groups (p &lt; 0.01), similar measurements were obtained after 12 months. The percentages of eyes that gained or lost &ge;10 letters in the AFB, RNB, and RNB to AFB groups at year 1 and 2 were similar, as was the percentages of eyes that demonstrated &ge;20% CMT thinning at month 3 and 6. Our study showed similar visual improvements in non-switchers (AFB and RNB groups) and switchers (RNB to AFB group) through 2 years follow-up, however, AFB patients required fewer injections, visits, or need for additional treatments

Effect of Impairment on the Prevalence and Comorbidities of Attention Deficit Hyperactivity Disorder in a National Survey: Nation-Wide Prevalence and Comorbidities of ADHD

Objective: This study aimed to determine the prevalence and comorbidities of attention-deficit hyperactivity disorder (ADHD) by evaluating a large-scale nation-wide sample of children. Method: The inclusion criterion was being enrolled as a 2nd, 3rd, or 4th-grade student. A semi-structured diagnostic interview (K-SADS-PL), DSM-IV-Based Screening Scale for Disruptive Behavior Disorders, and assessment of impairment (by both parents and teachers) were applied to 5,842 participants. Results: The prevalence of ADHD was 19.5% without impairment and 12.4% with impairment. Both ADHD with and without impairment groups had similar psychiatric comorbidity rates except for oppositional defiant disorder (ODD) and conduct disorder (CD) diagnoses. Impairment in the ADHD group resulted in significantly higher ODD and CD diagnoses. Conclusion: Even when impairment is not described, other psychiatric disorders accompany the diagnosis of ADHD and may cause impairment in the future. Impairment in the diagnosis of ADHD significantly increases the likelihood of ODD and CD