Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF LUTEAL PHASE SUPPORT ON PREGNANCY RATES OF THE STIMULATED INTRAUTERINE INSEMINATION CYCLES IN COUPLES WITH UNEXPLAINED INFERTILITY

Background: To assess the efficacy of luteal phase support (LPS) with vaginal progesterone (P) on pregnancy rates of the stimulated intrauterine insemination (IUI) cycles in couples with unexplained infertility (UEI). Materials and Methods: This was a single-center, prospective, randomized, blinded control trial undertaken at a tertiary care university fertility center between October 2007 and December 2008. A total of 200 couples with UEI underwent 511 consecutive stimulated IUI cycles. Clomiphene citrate (Cc) and human menopausal gonadotropin (hMG) were used for ovulation induction. After IUI, patients were randomized into two groups. The study group (n=98) received intra-vaginal P (Cyclogest) for LPS. The patients randomized into the control group (n=102) received no drug for LPS. The main outcome was the comparison of clinical pregnancy rate (PR) and live birth rate (BR) per cycle and patient between the control and study groups. Results: There were no differences in demographic characteristics between the groups. PR per patient and cycle were similar in the study group (30.6% and 11.5%, respectively) and in the control group [25.5% and 10.03%, respectively] (p>0.05). There were no statistically significant increases in BR per patient and cycle between the study group (19.4% and 7.5%, respectively) and the control group [14.7% and 5.7%, respectively] (p> 0.05). Conclusion: Administration of vaginal P (Cyclogest) for LPS does not improve the reproductive outcome of stimulated IUI cycles (Registeration Number: IRCT1389 01283737N1).
Cherubism: Case report and review of literature

Cherubism is a rare autosomal dominant genetic defect of bone remodeling which characteristically affects the mandible alone or both the mandible and the maxilla and does not occur in any other bone of the body. Nasal obstruction may occur in patients with cherubism as a result of involvement of the middle concha. Cherubism like any other genetic disease is incurable. Treatment, therefore, is based on the natural and clinical course of the disease.
Attention Mechanisms in Hierarchical Session-Based Recommendation

The use of attention mechanisms in different applications of recurrent neural networks has yielded significantly higher accuracies, but their use in session-based recommender systems is largely unexplored. In addition to increasing accuracy, attention mechanisms also allow for easy visualization of which input items impact the prediction of new outputs, which can lead to a better understanding of how users act, their habits and which past items are important for predicting future ones. In this project we explore different ways of including attention mechanisms in session-based recommender systems with hierarchical recurrent neural networks to improve accuracy. Four experimental models have been developed that apply attention mechanisms in different ways. These models have been tested on two separate datasets. We show that the attention mechanisms used in problems such as text translation and document classification yield a small increase in accuracy in the recommender system problem, with a slightly higher increase when combined with the use of a simple temporal attention mechanism. While we have been unable to achieve the same accuracy improvements as attention mechanisms have achieved in other problem domains, our improvements together with attention weight visualizations suggest that a temporal attention mechanism can work in recommender systems and that a more sophisticated temporal attention mechanism could increase accuracy even more.
A Study on the Mutual Similarity Between Japanese and Chinese for Simultaneous Learning

This study investigated the graphic resemblance of Chinese ideograms between Japanese and Chinese by creating a database of 1078 kanji (Chinese ideograms in Japanese) extracted from the two volumes of the Japanese grammar textbook, Minna no Nihongo (Second Edition, French version, 2013[I], 2015[II]) used in our faculty. It also applied the levels of language proficiency tests: Japanese-Language Proficiency Test (henceforth JLPT) and Chinese Proficiency Test (henceforth HSK). The aim of establishing the database was (1) to encourage students who study Japanese and Chinese simultaneously to learn kanji and Chinese characters by realizing the commonality and resemblance in shape and, (2) to provide with an elaborated list of Chinese ideograms that are most used in Japanese and Chinese. Firstly, the database showed that the textbook comprehensively covered the number of kanji, which included 100% of the kanji in Levels 4 and 5 of JLPT as well as 70% in Levels 1 and 2 and 60% in Level 3 of HSK. Secondly, it was found that 71% of the ideograms are identical, albeit with slight variations, between the two languages. This high rate of graphic resemblance will clearly help them reduce the fear of interference of learning these two East Asian languages simultaneously. For the further study, however, an analysis of phonetic and semantic resemblance, particularly false friends, should be required.
Identifying Purchase Intentions by Extracting Information from Tweets

Social Marketing is significantly gaining importance with companies advertising on social media such as Facebook and Twitter. Consumers prefer personalised advertisements that are related to for example their hobbies, work or interests. However, not all companies can afford to spend a lot of money for buying data of their potential customers. Therefore, I want to investigate if an artificial intelligence approach can predict (from existing user created content on social media) if someone is a potential customer for a specific company or product. In my approach I focus on predictions based on streams of short messages only, in contrast to approaches adopted by companies such as for example Facebook that involves many additional sources of data (e.g. mouse trajectories, browse history). The predictions of the artificial intelligence approach are compared to annotations from a human expert. This annotator reads the timeline of all users in the dataset and assigns a label PC (Potential Customer) or non-PC (no Potential Customer) to the users. There are already many studies that investigate how data models can process natural language in tweets and identify the sentiment of social posts, but combining all these techniques to detect purchase intentions in tweets is a relatively unexplored field. In my approach, models have been trained using different machine learning algorithms and tested with 10-fold cross-validation. Two experiments have been conducted in which the performance of the these models is evaluated by comparing the model’s predictions to the annotations of the human expert. I have trained one model using knowledge-rich features, two models using knowledge-poor features, and a model using both. The results are compared to find out the contribution of the features to each other. The results of the experiments give an answer to the research question: To what extend can AI approach the predictions (potential customer vs. no potential customer) that are assigned by a human expert? The results show that the AI approach classifies a user too often as a potential customer. When the artificial intelligence model uses all information that is available it can identify nearly 90% of the PC instances. However, the precision at this threshold is slightly below chance level. There are several reasons for future work. One reason is that the dataset that is used in this study is based on predictions of a human expert and not on actual purchase behaviour. The reliability of the artificial intelligence approach can be improved by using a dataset that contains tweets of users that are actual customers of a company. This dataset can be used to investigate if the artificial model can identify someone’s purchase intention before he became a real customer of the company.
Instrumendi positsioneerimise süsteemi projekteerimine. Design of system of positioning of the tool

In this paper, we describe the stages of the design of the positioning system of the tool or the cable–driven robot. The thesis includes the problem statement and definition of the main goals of the work, the description and definition of the features of the parallel mechanisms, identification of prospects for the use of the cable–driven robots, their classification and existing analogues. Enough attention is paid to mathematical analysis, including the kinematics analysis, dynamic analysis and cable tension analysis, due to this there was established the base for the design of other cable mechanisms. The final part of the thesis is devoted to the selection of equipment for prototyping, three–dimensional modeling and design of the cable–driven robot, as well as drawing conclusions and identification of future challenges.
The Effect of Home Environment on Adolescent Substance Use and Depressive Symptoms

We used data from the screening phase and first two waves of a panel study to compare the home environments of families with a substance-abusing parent, families with a depressed parent, and families in a comparison group. We diagnosed substance use disorder and affective disorder by administering the Structural Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders (third edition, revised) to each participating parent. The data suggest that families in which parents display a substance use disorder are very similar to those in which parents suffer from affective disorder, in terms of negative life events and lower family cohesion. The results of structural equation modeling indicate that parental substance use disorder and parental affective disorder influence adolescent substance use and depressive symptoms. In addition, parental substance use disorder has a direct influence on adolescent substance use at the time the first-wave data were collected, but this effect does not persist over time.
Spinal Anaesthesia in children: Comparative study of isobaric Levobupivacaine 0.5% with or without Clonidine

Background & Objectives: Spinal anaesthesia reduces the incidence of morbidity that follows general anaesthesia in children with good efficacy and safety record. Racemic bupivacaine is the widely used local anaesthetic for paediatric spinal anaesthesia. Local anaesthetic levobupivacaine has an equivalent potency to that of racemic bupivacaine but with a greater safety margin. Limited duration of surgical anaesthesia is however, one of the major deterrents for widespread use of spinal anesthesia in children. Clonidine lengthens spinal anaesthesia in adults and in children. We conducted a prospective, randomized clinical trial to study the effect of the addition of clonidine to 0.5% isobaric levobupivacaine induced spinal anaesthesia in children undergoing infra-umbilical procedures. Methods: Sixty patients between 5 to 10 years, posted for infra-umbilical surgeries were given spinal anaesthesia with either 0.5% plain isobaric levobupivacaine (5-15 kg – 0.4 mg/kg, 15-40 kg – 0.3 mg/kg) or levobupivacaine (5-15 kg – 0.4 mg/kg, 15-40 kg – 0.3 mg/kg) with clonidine (1μg/kg). Blockade characteristics and duration of analgesia were recorded along with mean arterial pressure, heart rate, respiratory rate and SpO2. Results: Satisfactory surgical anaesthesia was achieved in all 60 patients with comparable mean arterial pressure, heart rate, respiratory rate and SpO2. Block extension was 2 segments higher in patients given intrathecal clonidine. Duration of spinal anaesthesia (2 segment regression) increased from (90.3 ± 7.2 min) in the control group to (143.5 ± 8.7 min) in the group receiving clonidine 1μg/kg (p<0.001) and postoperative analgesia from 228 ± 14 min to 360 ± 31min (p<0.001). Sedation was the most common side effect observed in children receiving intrathecal clonidine. Conclusion: We conclude that clonidine 1μg/kg provides a significant improvement in spinal anesthesia and analgesic duration without undesirable side-effects.
3-(2,4-Dichlorophenoxy)-1-(4-methoxyphenyl)-4-(3-nitrophenyl)azetidin-2-one

In the title compound, C22H16Cl2N2O5, the nearly planar four-membered β-lactam ring [maximum deviations of 0.011 (2) for the N atom] makes dihedral angles of 68.34 (13), 83.04 (13) and 3.37 (13)° with the dichloro-, nitro- and methoxyphenyl rings, respectively. The crystal structure is stabilized by C—H⋯O hydrogen-bond interactions. In addition, a π–π stacking interaction [centroid–centroid distance = 3.6622 (12) Å] is observed between the β-lactam and nitrophenyl rings.
A Study on Staphylococcus aureus and Bacillus Cereus Contamination in Pastry Products in Gorgan

Background and purpose: Pastry products are an important part of food products in Iran. They are highly consumed now and there is high risk of bacterial contamination in these products. The present study investigated bacterial contamination of creamy pastries with Staphylococcus aureus and Bacillus cereus. Materials and methods: A total of 945 pastry cream (jelly, fruit and plain) samples were randomly taken. All samples were tested according to Iran national standards for microbial tests and data was analyzed in SPSS V.18. Results: The highest level of contamination was found to be with Staphylococcus aureus in summer in pastries with fruit cream (19%). No significant difference was observed in contamination of pastry cream (jelly, fruity and plain) in different seasons (P≥0.05). Conclusion: High level of bacterial contamination in pastry cream calls for more personal and workplace hygiene.
PO-400 Arriba – fast and accurate gene fusion detection from RNA-seq data

Introduction Personalised oncology revolutionises the way how eligible therapies are selected to treat cancer patients. With the help of next-generation sequencing technology, cancer can be understood at the molecular level. This enables clinicians to match cancer patients to drugs that precisely target the driver mutations of the tumour. The foundation of a successful matchmaking is a reliable detection of somatic variants from next-generation sequencing data. Particularly the identification of more complex alterations such as gene fusions remains a challenging task. Material and methods We developed ’Arriba’, a novel algorithm that identifies gene fusions from RNA-seq data. It is based on the output of the STAR aligner and can easily be integrated into existing bioinformatics pipelines built on this software. The tool was designed specifically for the application in a high-throughput clinical workflow, where high sensitivity and short turn-around times are crucial. Results and discussions Arriba excels previous methods in terms of sensitivity without compromising precision. Its highly efficient algorithm reduces the time required for results generation from many hours to just a few minutes. Moreover, the tool comes with a rich set of features that are useful in a clinical context, including comprehensive annotation, assistance with the design of primers for Sanger validation, and automatic generation of publication-quality figures. Conclusion The identification of gene fusions from RNA-seq data used to be an error-prone and computationally demanding task. Arriba is a novel algorithm that overcomes these shortcomings. It delivers more accurate results than previous methods within a fraction of the time.
Burning sensation, oozing, and bleeding: A unique finding of septicemia with skin erosion

Septicemia is an inflammatory host response to infection, which rapidly progresses to multiorgan failure and may develop skin lesions. The skin lesions of septicemia often present as purpura, purpura fulminans, and bleeding from erosion. However, there is a paucity of literature describing the features of septicemia both on the intact and eroded skin. The diagnosis of septicemia by identifying its features on the skin is very important for a dermatologist. This case report describes the dermatological changes of septicemia on the eroded skin of pemphigus vulgaris under treatment.
A Survey to the Connection between Nutrition and Mental Health of the Staff of a Medical Sciences University

Aims: Good nutrition is considered one of the paramount components of health which strongly influences humans’ physical and mental functioning. This Article aims to explore the connection between nutrition and mental health of the staff of Baqiyatallah Medical Sciences University. Methods: In this survey 327 people from four medical departments of the university were picked at random and the research tools included food frequency questionnaire (FFQ) accompanying the General Health Questionnaire (GHQ-28). Afterwards the data was analyzed by SPSS15 software and statistical measures of ANOVA, Means’ Comparison, independent sample T-test, Spearman correlation test and multiple regression analysis. Results: The mean age of the sample population and their mean job experience were 35/02±7/6 and 11/72±7/8 respectively. Results indicated that consumption of dairy products, fruit and vegetable significantly correlates with physical complaints, anxiety and social withdrawal. In fact, the total mental health score is affected by staff’s nutrition (P 0.05). Conclusion: The findings lead to the belief that nutrition and mental health of the staff of Baqiyatallah Medical Sciences University directly correlate with each other and sufficient intake of various nutrients can reduce mental health problems such as anxiety and depression.
Effect of Fetal Movement Counting on Prenatal Attachment and Maternal Worries among Primigravidae

Fetal movement counting is quantification of fetal movements as perceived by the mother that interprets the general condition of the fetus in the womb. This method may be used for continuous monitoring and evaluation of the fetal health by the mother as it is inexpensive, non invasive, easy and simple in nature. This study aims at identifying the effect of fetal movement counting on maternal-fetal attachment and maternal worries.
Determining if this word is used like that word

Determining the meaning of a word in context is an important task for a variety of natural language processing applications such as translating between languages, summarizing paragraphs, and phrase completion. Usage similarity (USim) is an approach to describe the meaning of a word in context that does not rely on a sense inventory—a set of dictionary-like definitions. Instead, pairs of usages of a target word are rated in terms of their similarity on a scale. In this thesis, we evaluate unsupervised approaches to USim based on embeddings for words, contexts, and sentences, and achieve stateof-the-art results over two USim datasets. We further consider supervised approaches to USim, and find that they can increase the performance of our models. We look into a more detailed evaluation, observing the performance on different parts-of-speech as well as the change in performance when using different features. Our models also do competitively well in two word sense induction tasks, which involve clustering instances of a word based on the meaning of the word in context.
The Effects of Language in Music on Memory

This thesis focused on the effect of both instrumental and vocal music on performance on cognitive tests designed to test memory in order to gain more insight into whether the presence of language in music affects memory. Four hypotheses were tested concerning the effect of music type, question type, the interaction of the two, and personal experience with music/music training on memory assessment performance. The study found no significant effect of background condition on memory assessment performance, a significant effect of question type on memory assessment performance, no significant effect of the interaction between background condition and question type on memory assessment performance, and no significant effect of playing an instrument on memory assessment performance.
The effect of elections’ results on British stock markets: An event study on health care stock returns

In this paper I examine the impact of elections’ results on stock returns. By analyzing a sample of 237 British Health care and equipment companies for the period 1997 to 2015 and using event study methodology, I find that the victory of the Labour Party in the elections is mostly associated with positive cumulative abnormal returns and the victory of Conservatives is partially associated with negative cumulative abnormal returns. In order to examine a more general relationship between the Labour Party and the health care sector, I run a regression with the excess returns of the health care companies, and companies belonging to the FTSE100 index with a dummy variable which indicates if the Labour Party is in power, and I find a positive relationship. Furthermore, I include the Fama-French factors in the regressions with the excess return as dependent variable, and I find positive relationship with all factors.
INCREMENTAL PROCESSING IN A NON-SPEECH DOMAIN

Incremental processing is the process of using auditory information as it unfolds over time. It has been well established within known and novel words but has not been examined in non-speech domains. Tone sequences were used to examine incremental processing in a non-speech domain. Novel pseudo-word served as a control. Participants were trained to map tone sequences or pseudo-words to novel objects, and then they underwent testing trials using eye-tracking in the visual world paradigm to evaluate the degree to which they processed incrementally. Results showed increased fixation proportions to the referents of words sharing onset phonemes compared to the unrelated items indicating people were accessing potential interpretations from the very beginning of the word. This was not observed with the tone sequences. This suggests incremental processing in the pseudo-words and no incremental processing in the tone sequences.
The Profile of Mosquito Population of Potential Vector of DHF in Kawengen Village, East Ungaran

Residents with a history of Dengue Hemorrhagic Fever (DHF) have the potential to be a source of dengue transmission, because of Antibody-dependent Enhancement (ADE) phenomena. East Ungaran district is one of DHF endemic area, in Central Java. Kawengen village has the highest risk of DHF outbreaks in East Ungaran. Important step is needed, to prevent transmission of DHF. By knowing the population profile of male mosquitoes, it can be easily estimated the number of fertile female mosquitoes. This study aimed to know profile distribution of male DHF potential vector in Kawengen village. Population of this study was all of mosquito in Kawengen area. The sample was trapped by Centers for Disease Control and Prevention (CDC) miniature lighttrap and taken with total sampling technique. This is qualitative research. Using entomology surveillance through a descriptive observational research approach with cross sectional design. The survey form is using the Magpi 5.5. 7 application to collect diversity mosquito, male:female mosquitoes,and vegetation. The results found an Aedes, Culex, and Mansonia. Proportion male:female of mosquito are Culex(67.56%), Aedes(29.73%),and Mansonia(2.71%). Density of male mosquitoes was lower than female,and vegetation was highly potential as resting also breeding site. So, it is assumed there are low number of fertile female mosquitoes. Keywords—male mosquito, proportion, surveillance, density,