Miracle-dz/UniFAR-FTUs huggingface dataset:
The frequency of idiopathic retinal detachment has seasonal variation and correlated with climate – A survey in Japan

Purpose Several studies have reported that rhegmatogenous retinal detachment (RRD) has a high incidence in the summer season and it correlates with increased sunshine hours and the average temperature. However, there is no report in Japan where seasonal changes in climate are rather distinct. In this study, we examined the seasonal variation of the frequency of RRD and the influence of climate. Asahi General Hospital is located in Asahi city (Chiba, Japan) where there is only a small change of population and furthermore, there is no other hub hospital in the city. Methods Medical records of consecutive 271 patients (>13-year-old) who had surgery for idiopathic RRD at Asahi General Hospital from January 2007 to December 2011 were retrospectively reviewed. The incidence of RRD was counted by months and seasons, and its seasonal variation and the correlation with the climate factors including the sunshine hours, temperature, humidity, and rainfall were examined. Result: Results 271 RRD eyes of 271 patients (176 male and 95 female, 56.0±15.0 years old) were included in the study.The RRD occurred most frequently in early summer (May to June, 21%), and least frequently in winter (January to February, 14%). Its frequency was significantly correlated with increased sunshine hours (r=0.71, P<0.05). Conclusion The incidence of RRD has an increasing trend in summer season in Japan, similarly to the previous reports in Asia, Middle East and Europe. It also positively correlated with increased sunshine hours and average temperature. These findings could suggest the influence of increased opportunity of outdoor-activities and miosis by sunshine on the occurrence of RRD
Evaluation of novel strategies for improving prevention and early diagnosis of health disorders in organic dairy cattle

ii ACKNOWLEDGEMENTS.vii LIST OF TABLES.x LIST OF FIGURES.xii CHAPTER 1 EFFECT OF SUPPLEMENTAL ORGANIC RUMEN-PROTECTED FAT ON PRODUCTIVITY, REPRODUCTIVE PERFORMANCE, METABOLIC STATUS AND CULLING IN ORGANIC DAIRY COWS.
Myths, mutants and superducks : exporting Italian comics

Sprocket comic shop (Norwich) personal correspondence (April 2013). Altenberg, T. , and Owen, R.J. (2015) 'Comics and Translation: Introduction', in New Readings 15. i-iv. Andreani, N. (2014), Graphic Novel. Il fumetto spiegato a mio padre. Eboli: Nicola Pesce Editore. Attardo, S. (2002) ‘Translation and Humour: An Approach Based on the General Theory of Verbal Humour’, in Jeroen Vandaele (ed) The Translator: Translating Humour. 17394. Attardo, S. , and Raskin, V. (1991) ‘Script Theory Revis(it)ed: Joke Similarity and Joke Representation Model’, in HUMOR 4(3-4). 293-347. Ballard, M. (2001) Le Nom Propre en Traduction. Paris: Ed. Ophrys. Barker, M. (1989) Comics: Ideology, Power and the Critics. Manchester: Manchester University Press. Barthes, R. (2001 *1967+) ‘The Death of the Author’, in The Norton Anthology of Theory and Criticism. New York: W.W. Norton & Co. Barthes, R. (2002 [1973]) S/Z, trans. by Richard Miller. Oxford: Blackwell Publishing. Barthes, R. (1977[1993]) Image, Music, Text, trans. by Stephen Heath. Fontana Ed Press.
Retweet Predictive Model in Twitter

Nowadays Twitter is one of the most used social networks with over 1.3 billion users. Twitter allows its users to write messages called tweets that can contain up to 140 characters. In this social network the so called retweeting is the key mechanism to information propagation. Twitter is widely used by brands, celebrities and news sources. Our main goal is to build a Retweet Predictive Model that predicts the popularity of the tweet and show how different text features affect its performance. Predicting popularity can have many applications, such as allowing the users to build their message in a way that it has more chances of getting a certain popularity, which can help them to gain more followers. This in the case of marketing companies may have a great impact on their sales, since Twitter is widely used by them. In our work we divided the popularity in 4 classes (0 retweets, 1 to 10 retweets, 10 to 100 retweets, 100 or more retweets) and analyzed how the prediction for different classes was affected for tweets with specific text features (for example tweets with Hashtags). We have introduced some new features in our model, such as the combination of sentiment analysis with trending topics, along with the use of media content like the presence of photos, GIFs and videos. In our results we show that the use of sentiment analysis with trending topics improves the performance of the model, and the prediction for different classes is affected differently by the features used in the text. Finally, our novel Retweet Predictive Model built upon machine learning and the Twitter social media can have application in many fields such as marketing, politics or even finance. Its characteristics are unique, not only because it has the capability to predict the popularity of the tweets but also because it incorporates tweet’s features such as sentiment scores and popular topics across Twitter. Moreover, it will be a useful tool in personalized Tweet Recommendation Systems
Corporate Information Systems Management: Issues Facing Senior Executives

From the Publisher: Corporate Information Systems Management, Third Edition, is written for students and managers who desire an overview of contemporary information systems technology (IT) - computer, telecommunications, and office systems - management. It explains the relevant issues of effective management of information services activities and highlights the areas of greatest potential application of the technology. - from the Preface.
An ACO-Based Tool-Path Optimizer for 3-D Printing Applications

Layered additive manufacturing, also known as three-dimensional (3-D) printing, has revolutionized transitional manufacturing processes. Fabrication of 3-D models with complex structures is now feasible with 3-D printing technologies. By performing careful tool-path optimization, the printing process can be speeded up, while the visual quality of printed objects can be improved simultaneously. The optimization process can be perceived as an undirected rural postman problem (URPP) with multiple constraints. In this paper, a tool-path optimizer is proposed, which further optimizes solutions generated from a slicer software to alleviate visual artifacts in 3-D printing and shortens print time. The proposed optimizer is based on a modified ant colony optimization (ACO), which exploits unique properties in 3-D printing. Experiment results verify that the proposed optimizer can deliver significant improvements in computational time, print time, and visual quality of printed objects over optimizers based on conventional URPP and ACO solvers.
NIPS 2009 Demonstration: Binary Classification using Hardware Implementation of Quantum Annealing

Previous work [NDRM08, NDRM09] has sought the development of binary classifiers that exploit the ability to better solve certain discrete optimization problems with quantum annealing. The resultant training algorithm was shown to offer benefits over competing binary classifiers even when the discrete optimization problems were solved with software heuristics. In this progress update we provide first results on training using a physical implementation of quantum annealing for black-box optimization of Ising objectives. We successfully build a classifier for the detection of cars in digital images using quantum annealing in hardware. We describe the learning algorithm and motivate the particular regularization we employ. We provide results on the efficacy of hardware-realized quantum annealing, and compare the final classifier to software trained variants, and a highly tuned version of AdaBoost.
DEMMI Scores, Length of Stay, and 30-Day Readmission of Acute Geriatric Patients in Denmark: A Cross-Sectional Observational Study with Longitudinal Follow-Up

The aims of this study are to describe the mobility of acute geriatric patients, the length of stay, and to characterise patients who were readmitted within 30 days based on the De Morton Mobility Index (DEMMI). A cross-sectional observational study with longitudinal follow-up was conducted in the period from 1 March 2016 to 31 August 2016. Inclusion criteria were acute geriatric patients hospitalised for a minimum of 24 h. Of the 418 patients hospitalised during the study period, 246 (59%) participated in this study (44% male, median age 83 years [70; 94]). For patients in an acute geriatric department, the median DEMMI score was 41 and the mean score was 39.95. Patients with a DEMMI score ≤40 show a significantly lower Barthel 100 index, lower 30 s. sit-to-stand scores and were significantly more likely to be bedridden or, amongst those not bedridden, to use a mobility aid. Lower DEMMI scores were associated with longer admissions. DEMMI seems to have the ability to predict discharge within one week. There was no significant association between a lower DEMMI score and higher risk for 30-day readmission. Further research is needed to determine whether the DEMMI is suitable for identifying the patient’s need for further rehabilitation following the discharge.
Risk Prediction In Older Adults After Acute Myocardial Infarction: The Silver-Ami Study

Older adults are at risk for functional decline after hospitalization for acute myocardial infarction (AMI). Our goal with this thesis is to explore two outcomes relevant to maintenance of physical function, falls and cardiac rehabilitation (CR) utilization in a cohort of adults over the age of 75 hospitalized with acute myocardial infarction. We aim to describe the risk of falls within six months of discharge and the rates of CR use, and to identify factors associated with these outcomes. Our project uses data from the SILVER-AMI study, a prospectively designed cohort study which enrolled 3000 patients over the age of 75 hospitalized with acute myocardial infarction and followed them for six months after discharge. Extensive baseline data was collected on demographics, clinical and psychosocial factors, and geriatric impairments. Outcome data on falls was collected at six months via medical record adjudication and survey, and on CR use by survey. 557 (21.6%) of 2584 participants reported at least one fall within six months of discharge. Independent predictors after logistic regression analysis included: impaired functional mobility (OR 1.5 [1.07-2.11]), recent fall history (OR 2.97 [2.373.74]), longer length of stay (OR 1.04 [1.02-1.07] per day, visual impairment (OR 1.33 [1.08-1.64]), and weak grip strength (OR 1.28 [1.02-1.60]). 192 (6.4%) of 3006 participants were found to have a medically serious fall within six months of discharge. Independent predictors of medically serious falls after logistic regression analysis included: impaired functional mobility (OR 1.85 [1.11-3.09]), recent fall history (OR 1.73 [1.23-2.42]), longer length of stay (OR 1.03 [1.01-1.06] per day, living alone (OR 1.37 [1.00-1.87, p = 0.048]), and impairment in the bathing ADL (OR 1.74 [1.06-2.86]). 943 (39.5%) of 2387 participants reported participating in CR within six months of discharge. Independent predictors of CR use after logistic regression analysis included: older age (OR 0.97 [0.95-0.99] per year), non-white race (OR 0.69 [0.50-0.97]), having less than 12 years of education (OR 0.71 [0.59-0.85]), receiving percutaneous (OR 2.07 [1.66-2.57]) or surgical (OR 4.70 [3.32-6.67]) revascularization, cognitive impairment (OR 0.58 [0.43-0.78]), and living alone (OR 0.77 [0.64-0.93]). From these results, we conclude that falls and CR underutilization are important problems facing older adults after AMI. The comprehensive geriatric assessment performed in SILVER-AMI highlighted independent robust predictors of both functional outcomes. This indicates that there is a role for assessing geriatric impairments during an AMI hospitalization, as identifying patients at risk for poor functional outcomes can lead to steps toward improving their care. High fall risk could be a reason to avoid anticoagulant therapy. Identifying patients less likely to attend CR can allow development of interventions to close this gap in care.
A software system for large-scale structural optimization

A SOFTWARE SYSTEM FOR LARGE-SCALE STRUCTURAL OPTIMIZATION by Keith MacBain This work is driven by recent developments in mathematical programming, the state—ofthe—art of structural optimization, the spectacular performance of linear programming algorithms, and computer hardware developments which imply that applications of structural optimization might be used commonly in engineering design. Currently, there are few general purpose optimization routines available to the structural engineer and much of the work has addressed specific classes of problems. Further, there is little widespread use of the available routines, partly due to the large amount of familiarity one must have with the specific details of both the problem and the optimization method. In response, it is the intention here to prototype a software system that implements a general approach for structural optimization using the latest in mathematical programming techniques. This work develops a general system that can be used for a variety of structural optimization problems in a manner analogous to the finite element method for structural analysis. The most commonly used structural elements, truss and beam, are included as well as techniques for plate optimization. Consideration is given to the software requirements of a general purpose structural optimization system and the demands of large structural systems typically encountered in design practice. This general approach is aimed at using classical methods taken directly from the area of mathematical programming, specifically linear programming, which has seen considerable change in the last ten years. Here, sequential linear programming (SLP) techniques are shown to handle a wide variety of structural constraints including stress constraints, displacement constraints, buckling, and frequency constraints. It is the purpose of this thesis to bring the latest developments in linear programming to the field of structural optimization in the form of a general purpose, state—of—the—art structural optimization system. The model was tested for sample structures and it was shown to effect a reduction in total structure volume of up to 80%. A SOFTWARE SYSTEM FOR LARGE-SCALE STRUCTURAL OPTIMIZATION
Lise Son Sınıf Öğrencileri Sağlıklı Yaşam Biçimi Davranışlarına Sahipler mi

Adolesan donem, saglikli yasam bicimi davranislarinin kazanilmasi ve bu davranislarin yetiskinlikte devam ettirilmesi acisindan onemli bir yasam donemdir. Bu arastirma, lise son sinif ogrencilerinin saglikli yasam bicimi davranislarini ve etkileyen etmenlerin incelenmesi amaciyla tanimlayici ve iliski arayici turde gerceklestirildi. Arastirmanin orneklemini, bir ortaogretim kurumunda 2010-2011 egitim-ogretim yili 2. doneminde egitim-ogrenim goren 160 ogrenci olusturdu. Verilerin toplanmasinda Bilgi Formu ve Saglikli Yasam Bicimi Davranislari Olcegi-II kullanildi. Bu calismada lise son sinif ogrencilerinin saglikli yasam bicimi davranislarinin orta duzeyde oldugu, olcegin fiziksel aktivite ve saglik sorumlulugu alt boyutlarindan dusuk puan aldiklari belirlendi. Kiz ogrencilerin saglik sorumlulugu, beslenme ve kisilerarasi iliski davranislarinin erkek ogrencilere gore, erkek ogrencilerin ise fiziksel aktivite davranislarinin kiz ogrencilere gore daha iyi oldugu saptandi. Yasamini ilcede geciren, ailelerinin geliri yuksek olan, yakin cevrelerinde saglik personeli olan ogrencilerin saglikli yasam bicimi davranislari gosterdigi belirlendi. Bu arastirmadaki lise ogrencilerinin saglikli yasam bicimi davranislarinin yeterli duzeyde olmadigi saptanmistir. Bu sonuc, lise son sinif ogrencilerine yonelik egitim programlarinin planlanmasi ve uygulamaya gecirilmesinin gerekliligini ortaya koymaktadir. Anahtar Kelimeler: Lise, ogrenciler, Saglikli Yasam Bicimi Davranislari Olceg
The lived experiences of smokers with lung cancer

Objective: The aims of this research were to learn about the lived experiences of patients with lung cancer who smoke tobacco and to provide nurses with more insights into complexities of people’s relationship with their smoking.Methods: Descriptive phenomenology was used to explore the lived experiences of smokers with lung cancer. An in-depth unstructured conversational style interview was used as a method for data collection. The study was conducted in the inpatient, outpatient, and day care units at the National Center for Cancer Care and Research (NCCCR) in Qatar. Purposive sampling was used to recruit five lung cancer patients who smoke. Colaizzi’s (1978) method was used to analyze data.Results: Participants described three related themes: (a) fate, (b) a socially acceptable addiction, and (c) self-blame and guilt.Conclusions: The findings of this study are of interest to nurses and physicians who work with lung cancer patients. The findings provide insight into experiences of patients who continue to smoke after their lung cancer diagnosis. Nurses within the smoking cessation clinic will also benefit from patients’ descriptions of what they consider useful and supportive in regards to an empathetic, coaching response to their relationships with tobacco. Future study is needed to elucidate nurses' perception on lung cancer patients who continue to smoke.
Antimicrobial susceptibility of Escherichia coli and other coliforms isolated from urine of asymptomatic students in Bayelsa State, Nigeria

This study investigated the isolation rate and antimicrobial susceptibility of Escherichia coliand other coliforms from asymptomatic male and female students of Niger Delta University in Bayelsa State, Nigeria. E. coli and other coliforms from midstream clean-catch urine samples of asymptomatic male and female students were isolated and tested for their susceptibility to commonly used antimicrobial agents using the disk diffusion protocol described by the Clinical Laboratory Standards Institute (CLSI). Of the few subjects that harbored E. coli, more were males. Zone sizes for both isolate groups from males were higher than those from females. E. coli were more susceptible to the antimicrobials than the non - E. coli (unclassified coliform) isolates for both subjects, although the overall susceptibility of both isolate groups was poor. Gentamicin was the most active (64.5% for E. coli and 33.3% for unclassified coliforms) while tetracycline was the least (22.7% for E. coli and 0% for unclassified coliforms). The most common resistance phenotypes were “ATCtGSNa” (for E. coli) and “ATCtGSNaNC” (for unclassified coliforms); “ATCtGSNaNC” was observed in both isolate groups. Multiple antibiotic resistances were observed significantly in both E. coli (83.9%) and the unclassified coliforms (100%). As against 9.7% of the E. coli isolates, 40% of the unclassified coliforms were resistant to all the antimicrobials. MAR indices were very high (all above 0.2) in both isolate groups. Although asymptomatic male students of Niger Delta University harbored more E. coli than the female students, isolates from the female students pose greater risk of antimicrobial resistance owing to their lower susceptibility to antimicrobials compared with those from their male counterparts. The prior exposure of all the isolates to antibiotics as suggested by their high MAR indices provides justification for continuous monitoring of bacterial susceptibility to antibiotics before prescription in order to ensure adequate treatment of infections arising from urinary pathogens and reduction in the spread of bacteria resistant strain. Key words: Escherichia coli, urine, asymptomatic, antimicrobial susceptibility.
Application of growth monitoring charts by health care providers in Village Health and Nutrition Day (VHND) setting in rural Kamrup

Background: Growth monitoring attempts to promote optimal growth through effective education to caregivers; detection of ‘early growth faltering’, ‘underweight’ and initiation of relevant action. Objectives: (i) To observe application of the growth monitoring charts provided in the Mother and Child Protection (MCP) Card by health care providers in Village Health and Nutrition Day (VHND) setting in rural Kamrup. (ii) To assess whether their applied methods and interpretations are appropriate. (iii) To identify gaps in relation to growth monitoring. Materials and Methods: A cross-sectional study was conducted during January-July 2014 in VHND sessions covering 44 villages selected through multistage sampling in Kamrup district in Assam. 88 Auxiliary Nurses and Midwives (ANM) and 34 Anganwadi Workers (AWW) present in the sessions were closely observed during their activities and then interviewed regarding their interpretations of the growth chart. Results: 77% of the AWWs present were involved in growth assessment and weight plotting in growth charts of all the 0-36 months aged children brought to a session. Correct plotting of weight and interpretations of the growth charts were known to 94% of the AWWs and only 69% of the ANMs. Conclusion: Growth monitoring charts provided in the MCP card were not found to be optimally applied for community based growth monitoring in rural Kamrup. Deficiency was found in the ANMs regarding their applied methods and interpretations of the growth charts in comparison to the AWWs. AWWs were inadequately involved in growth assessment and monitoring of children in the vulnerable age group of 0-36 months in the VHND sessions.
Functional Compounds of Lobelia inflata Revealed Novel Potential Targets for Chronic Cough Therapy

Aim: To identify potential targets involved in chronic cough pathophysiology toward discovery and development of new therapeutants. Methodology: This work was carried out on bioactive compounds of selected medicinal plants with reference to known therapeutic agents using computational methods which include target prediction, pharmacokinetic prediction and molecular docking. Results: Bioactive components of Lobelia inflata exhibited therapeutic potential on the targets which include vesicular monoamine transporter 2 (VMAT2) and sodium dependent serotonin/ dopamine receptor, while current drugs (sulfamethoxazole and trimethoprim) targeted endothelin receptors (ETAR and ETBR) and macrophage colony-stimulating factor 1 receptor (MCSF1R) respectively, in addition to the well-known dihydrofolate reductase. The binding energies from the docking analyses showed that all the functional compounds of Lobelia inflata studied have strong Original Research Article Fatoki et al.; JAMPS, 19(2): 1-13, 2018; Article no.JAMPS. 45276 2 affinity for MCSF1R followed by dihydrofolate reductase, ETBR and VMAT2. However, ambrisentan was found to be the most effective against all the targets used in this study with minimum predicted binding energy of -11.6 kcal/mol. Conclusion: This in silico study provides an insight to the mechanism of chronic cough pathophysiology and therapy by proposing possible potential targets, as well as possible utilization and optimization of functional compounds of Lobelia inflata as therapeutants.