Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship of rs9904341 Polymorphism with Lung Cancer Susceptibility and Sensitivity of Platinum-Based Chemotherapy in Patients with Lung Cancer

[Purpose] To investigate the relationship of survivin gene promoter rs9904341 polymorphism with the risk of lung cancer and the effect of platinum-based chemotherapy on advanced NSCLC. [Methods] The genotypes of rs9904341 polymorphism in 289 lung cancer patients and 289 healthy person were analyzed by polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP) method.In those lung cancer patients,130 cases with advanced NSCLC only received platinum-based chemotherapy,the clinical response was evaluated after 2 cycles,and the relationship of gene promoter polymorphism with susceptibility and survival of lung cancer was analyzed. [Results] The genotype frequencies for CC,CG,GG were 29.07%,47.05%,23.87% in lung cancer group,and 20.42%,51.9%,27.68% in control group respectively.No significant difference in the distribution of survivin genotype was found between the two groups(P=0.053). The frequencies of the C allele and CC genotype in lung cancer patients were significantly higher than those in healthy person(P0.05). Analysis of 130 advanced NSCLC patients with platinum-based chemotherapy showed that no significant correlation of the rs9904341 polymorphism with response rate,but there is a relationship with the clinical benefit rate.The clinical benefit rate in GG genotype was 2.06 times of the CC genotype(95%CI:071～5.97,P=0.184) with survival analysis for the 289 cases with lung cancer,compared with CG+GG genotypes,the CC genotype was significantly associated with poor survival(95%CI:1.11～2.6,P=0.015). [Conclusion] The rs9904341 polymorphism is closely associated with susceptibility and prognosis of lung cancer,and is significant association with clinical benefit response in advance NSCLC receiving platinum-based chemotherapy.
Feature Selection Framework for XGBoost Based on Electrodermal Activity in Stress Detection

Since stress has a strong influence on human’s health, it is necessary to automatically detect stress in our daily life. In this paper, we aim to improve the performance and obtain the dominant features in stress detection based on Electrodermal Activity (EDA). Compared to the methods in Wearable Stress and Affect Dataset (WESAD), we propose several enhancements to get higher f1-scores, including less overlapped signal segmentation, more signal processing features, and extreme gradient boosting classification algorithm (XGBoost). Furthermore, we select dominant features according to their importance in classifier and correlation among other features while keeping high performance. Experiment results show that with 9 dominant features in XGBoost, we can achieve 92.38% (+ 17.87%) and 89.92% (+14.58%) f1-scores compared to WESAD on chest-and wrist-based EDA signal respectively. The features we choose suggest that the magnitude of low frequency and the complexity of high frequency EDA signal contain the most significant information in stress detection.
A Study on Note Taking in EFL Listening Instruction

This paper presents the results of a study on note taking in a university-level English language class. The students who participated in the study (N = 21) learned various note-taking techniques and had a number of opportunities to practice them in class. In order to examine the effectiveness of this training, students’ notes for the listening sections of midterm and final exams were analyzed. Additionally, to gauge students’ reactions to the training, a questionnaire was conducted at the end of the course. Overall, results showed that the students made steady progress in their note-taking skills and felt that their skills had improved.
The 3D mixed-dimensional quench model of a high aspect ratio high temperature superconducting coated conductor tape

A successful development of an effective quench detection and protection method for a high temperature superconducting (HTS) coil based on a HTS coated conductor tape lays on a thorough understanding of its slowly propagating, 3D quench behavior. Toward this goal, a 3D micrometer scale FE thermomagnetostatic HTS tape model composed of laminated high aspect ratio thin layers is developed. The physics from all layers are accounted for in real dimensions. The modeling problem of laminated high aspect ratio thin layers is tackled effectively by using a weakform, mixed-dimensional modeling approach through the use of interior boundaries. The interior boundaries also served as a bridge coupling the 2D and 3D physics. This also efficiently addresses the convergence problem in solving a FE model composed of domains with vastly different material properties. The model is validated numerically and experimentally; results show that it is capable of reproducing physical quench behavior accurately.
Abdominal Compartment Syndrome: Improving Outcomes With A Multidisciplinary Approach – A Narrative Review

Abstract Abdominal compartment syndrome (ACS) refers to a severe increase in intra-abdominal pressure associated with single or multiorgan failure. ACS with specific pathophysiological processes and detrimental outcomes may occur in a variety of clinical conditions. Patients with ACS are predominantly managed in critical care settings, however, a wide range of multidisciplinary interventions are frequently required from medical, surgical, radiological and nursing specialties. The medical management, aiming to prevent the progression of intra-abdominal hypertension to ACS, is extensively reviewed. Timing and techniques of surgical decompression techniques, as well as management of open abdomen, are outlined. In summary, the current narrative review provides data on history, definitions, epidemiology and pathophysiology of the syndrome and highlights the importance of multidisciplinary approach in the management of ACS in adults.
Synchronization Aspects of The Optimistic Parallel Discrete Event Simulation Algorithms

We study synchronization aspects in parallel discrete event simulation (PDES) algorithms. Our analysis is based on the recently introduced model of virtual times evolution in an optimistic synchronization algorithm. This model connects synchronization aspects with the properties of the proﬁle of the local virtual times. The main parameter of the model is a “growth rate” q = 1 / (1 + b ), where b is a mean rollback length. We measure the average utilization of events and the desynchronization between logical processes as functions of the parameter q . We found that there is a phase transition between an “active phase”, i.e. when the utilization of the average processing time is ﬁnite, and an “absorbing state” with zero utilization, vanishing at a critical point q c ≈ 0 . 136. The average desynchronization degree (i.e. the variance of local virtual times) grows with the parameter q . We also investigate the inﬂuence of the sparse distant communications between logical processes and found that they do not change drastically the synchronization properties in the optimistic synchronization algorithm, which is the sharp contrast with the conservative algorithm [1]. Finally, we compare our results with the existing case-study simulations.
CHAPTER-4 BUSINESS MODELS IN OPERATING SYSTEM SOFTWARE MARKET 4

Business model establishes linkage between strategy planning and implementation. It transforms strategies into action. The taxonomies of Business models are enormous, yet the definite framework of a business model fails to exist. Traditionally, business model was a tool to identify the revenue generating activity. However, business model consisted of many dimensions that positively influenced organizations. Burkhart et.al (2011) 1 made a seminal contribution to business model literature. The study identified gaps in the business model literature, viz lack of knowledge of interdependencies between the components of business model, lack of structured and comparable visualization of business models, less empirical studies on appropriate tools and criteria to evaluate business models. Raman CasadesusMasanell and Joan Ricart (2011) 2 state that alignment of business models with organizations’ goals, objectives and strategies are essential for organizations. Richardson (2008) 3 opines that Business model establishes linkage between strategy formulation and strategy implementation.
Estimating snow water equivalent in alpine snowpacks : Methods , strategies , and sources of variability

The accurate estimation of snow water equivalent (SWE) for alpine regions is a crucial information for a number of applications, like e.g. hydro-power production, water resources management, or artificial snow production (Clarvis et al., 2013). While automatic snow depth (HS) sensors are widespread and deployed in mountain ranges worldwide, this is not the case yet for SWE sensors (Smith et al., 2017). Indeed, frequent and well distributed manual measurements of bulk snow density (RHO), used to convert HS in SWE, are still needed. For this purpose, observers are trained and observation networks are deployed in the Alps to provide weekly or sometimes daily, measurements of SWE. These measurements are challenging due to the harsh environmental conditions, rugged terrain, remoteness of the sampling locations and observer ’s security (e.g., risk of avalanches). It is therefore desirable to optimize the measurement strategy by reducing the sampling effort in order to achieve a given target of accuracy (Lopèz-Moreno et al., 2011; Molotch et al., 2005). In the Italian Alps, three methods are used to measure SWE: 1) the AINEVA protocol (Mod. 3-4), based on the recognition of discrete strata in the snowpack, the measure of RHO for each stratum and the profile-average weighted mean. This method was developed for the accurate description of the snowpack, including grain size, metamorphism and snow stability assessment for avalanche bulletins; 2) the simple method (SIMPLE), where RHO is measured at fixed depths in the snowpack and averaged. This method was specifically designed for SWE measurements and does not require expertise in snow profile description, such as grain recognition; 3) the CORE method consists of sampling a vertical snow core of known volume, returning a profile-integrated SWE measurement. This fast and easy-to-use method was specifically developed by hydropower production companies and deployed since the early 40s.
Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization

Online convex optimization against dynamic comparators in the literature is limited to linear models. In this work, we relax this requirement and propose a memory-efficient online universal function approximator based on compressed kernel methods. Our approach hinges upon viewing non-stationary learning as online convex optimization with dynamic comparators, for which performance is quantified by dynamic regret. Prior works control dynamic regret growth only for linear models. In contrast, we hypothesize actions belong to reproducing kernel Hilbert spaces (RKHS). We propose a functional variant of online gradient descent (OGD) operating in tandem with greedy subspace projections. Projections are necessary to surmount the fact that RKHS functions have complexity proportional to time. For this scheme, we establish sublinear dynamic regret growth in terms of the functional path length, and that the memory of the function sequence remains moderate. Experiments demonstrate the usefulness of the proposed technique for online nonlinear regression and classification problems with non-stationary data.
Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation

One of the most common metrics to automatically evaluate opinion summaries is ROUGE, a metric developed for text summarisation. ROUGE counts the overlap of word or word units between a candidate summary against reference summaries. This formulation treats all words in the reference summary equally.In opinion summaries, however, not all words in the reference are equally important. Opinion summarisation requires to correctly pair two types of semantic information: (1) aspect or opinion target; and (2) polarity of candidate and reference summaries. We investigate the suitability of ROUGE for evaluating opin-ion summaries of online reviews. Using three simulation-based experiments, we evaluate the behaviour of ROUGE for opinion summarisation on the ability to match aspect and polarity. We show that ROUGE cannot distinguish opinion summaries of similar or opposite polarities for the same aspect. Moreover,ROUGE scores have significant variance under different configuration settings. As a result, we present three recommendations for future work that uses ROUGE to evaluate opinion summarisation.
The impact of training and employment as a health care aide on immigrants’ lives

The purpose of this study was to explore the impact of training and employment as a health care aide on the personal and public lives of nine immigrants, eight of whom were women. These individuals had successfully completed a combined skills and ESL training program for Home Support or Home Support/Resident Care Attendant at an immigrant settlement agency on the west coast of Canada approximately one to two years prior to the study. The program trained the individuals to work as care aides in private homes or long term care facilities as well as provided training in English skills. A qualitative approach was chosen in order to explore the issues and themes that were relevant to the participants, from their own perspectives, with regard to the impact of training and employment as a health care aide on their lives. The findings revealed that participation in a training program had a significant impact on the individuals' lives. Acquiring an occupational skill for the health professions gave some of the individuals an occupational identity as well as personal fulfillment. For others, this training helped them to find meaningful employment and facilitated their integration into Canadian society. However, finding full-time employment proved to be a challenge for most of the participants. They encountered many barriers to employment for example, the need to work on-call and the resultant lack of a stable income; conflicts between domestic responsibilities and work outside the home; transportation limitations; and personal barriers, such as age, work experience, and education. On the positive side, participation in the training program helped the individuals to improve their English skills which increased their confidence, independence,
Epilepsy & Seizure

Around 30% of adults with epilepsy remain refractory to antiepileptic drug (AED) therapy despite having similar seizure semiologies and syndromes to drug responsive individuals. How, when and why do they become pharmacoresistant? Observations from the Glasgow database of newly diagnosed patients receiving their first ever AED at the Epilepsy Unit have provided fascinating insights into the natural history of treated epilepsy. Prospective analyses of this expanding cohort were undertaken in 1997 (n=470), 2003 (n=780) and, most recently, in 2008 (n=1098). Overall, around 50% of patients became seizure free on their first ever AED with diminishing numbers responding to subsequent regimens either as monotherapy or in low dose combinations. The overall prognosis has modestly improved over recent years as newer drugs with novel mechanisms of action have become available. However, from the most recent analysis, around 25% of the population never had useful period of seizure freedom despite receiving many AEDS singly and in combination. Interestingly, a similar number never had another seizure after starting treatment. Differences between these clinical phenotypes included higher seizure densities prior to initiation of therapy and concurrent psychiatric comorbidities suggesting greater brain dysfunction. The presence of a family history of epilepsy and/or febrile convulsions also predicted refractory
Prediction of the Discharge Coefficient for a Cipolletti Weir with Rectangular Bottom Opening

The hydraulic characteristics of a Cipolletti weir with rectangular bottom opening were investigated in this study. The work was carried out using an existing experimental setup of a flume with storage and re-circulating tanks, a pump, a flow meter and a piping system with valves. Thirty nine physical models were made for the Cipolletti weir with rectangular bottom opening with different geometrical dimensions called hereafter as configurations. Experimental measurements were taken for each configuration for different flow values to find the actual discharge, the head over the weir and the head of the approaching flow. For each configuration the data set were analyzed in order to find the discharge coefficient using equation, derived for the combined flow over the weir and from the bottom rectangular opening. All the flow cases tested were for free flow over the weir and sub-critical flows. Dimensional analysis was made to relate the discharge coefficient with different geometrical and flow variables using artificial neural networks modeling. The correlation coefficient found for the predicted values of the discharge coefficient is (r=0.88).
The Ukrainian interest rate pass-through in the post-1999 era and the effectiveness of the countercyclical monetary policy

This study investigates the nature of the Ukraine interest rate pass-through from January 2000 to November 11, 2018-the post-1999 era. The empirical results reveal a relatively high short-run interest pass-through of 0.724100 and a marginally overshooting long-run interest rate pass-through of 1.054309. The bounds test results indicate a strong long-term relationship between countercyclical monetary policy and market rates. These empirical findings suggest that the National Bank of Ukraine has been very effective in formulating and implementing its countercyclical monetary policy, in spite of the pervasive corruption, formidable political and economic challenges faced by the Ukrainian Republic over this sample period, the results are quite surprising.
Evaluation of Cystic Echinococcosis Cases in Terms of Sociodemographic, Clinical and Hospitalization Features in Karaman Province, Turkey

Background: We aimed to investigate the cystic echinococcosis (CE) epidemiology in Karaman Province from 2010 to 2017 using data from the provincial state hospital. Methods: Overall, 482 cases were determined from Karaman State Hospital, Karaman Province, Turkey from 2010 to 2017. Records were investigated in terms of year, gender, age, cyst location, rural and urban households and duration of hospital stay. Results: The CE incidence was 22.40 per 100 000 people after final diagnosis with focused abdominal ultrasound. Totally, 482 people including 166 (34.4%) male and 316 (65.6%) female were with CE. The mean age of patients was 50.3±17.48 yr. More CE cases were reported in the age group of 51–60 yr than in the other age groups. CE was mostly seen in liver (470, 97.5%). Moreover, 28.4% of patients were resided in rural areas. The observed frequencies of demographic features of female gender, infected liver, residence in provincial centers, referral to general surgery policlinic and no hospitalization were significantly higher than expected frequencies (P<0.05). Sixty (12.4%) patients with CE had been hospitalized. There was a statistically significant positive relationship between age of hospitalized patients and duration of hospitalization (P<0.05). Of the patients 73.2% were admitted to general surgery. Conclusion: CE is of great importance to public health considerations in the Karaman Province and we advocate the implementation of eradication programs to decrease the CE cases number.
Negative Affect 1 Running head: NEGATIVE AFFECT IN VICTIMIZED CHILDREN In Press Journal of Abnormal Child Psychology Negative Affect in Victimized Children: The Roles of Social Withdrawal, Peer Rejection, and Attitudes towards Bullying

This study evaluated the validity of mediating pathways in predicting self-assessed negative affect from shyness/social withdrawal, peer rejection, victimization by peers (overt and relational), and the attitude that aggression is legitimate and warranted. Participants were 296 third through fifth graders (156 girls, 140 boys) from 10 elementary schools. Self-report measures of victimization, attitudes, and negative affect, and a teacher-report measure of shyness/social withdrawal and peer rejection were completed during the spring semesters of two consecutive years. Hierarchical regression analyses supported the mediational model in predicting negative affect at Time 2. However, change in negative affect over the 12-month study period was best accounted for by direct effects of increased victimization and changes in attitudes/attributions regarding aggression. Implications for the planning of school interventions designed to interrupt these victimization-maladjustment pathways are discussed.
Salmonella infection in birds kept in parks and pet shops in Tehran, Iran

Salmonellosis is one of the most important zoonotic diseases worldwide. Salmonella infections in wild birds are reported frequently. The objectives of this study were to isolate Salmonella serovars from a large collection of samples obtained from pet birds in Tehran, Iran, and then to determine the serotypes and antimicrobial susceptibility profile of the isolates. Between October 2007 and August 2008, 668 samples from 24 different species were collected from birds kept in parks and pet shops of Tehran. Samples contained cloacal swabs from large birds, freshly-dropped feces from small birds and, infrequently, carcasses. Multiple samples from the same bird were pooled and considered as an individual sample. All samples were cultured for the isolation and identification of Salmonella serovars according to standard procedures. Serotyping was performed by slide agglutination test to determine the O and H antigens of the isolates. The antimicrobial susceptibility of the isolates was determined to a panel of 30 antimicrobial agents using the agar disc diffusion method. In total, 19 Salmonella isolates (2.8%) were identified. Samples that were positive for Salmonella originated from canaries (10 out of 62, 16.1%), pigeons (5 out of 139, 3.6%), psittacines (3 out of 130, 2.3%), and eagles (1 out of 2, 50%). All Salmonella isolates were susceptible to danofloxacin, norfloxacin, levofloxacin, amikacin, gentamicin, and tobramycin. Resistance to other antibacterial agents was variable and ranged from 0-57.9%. There were 17 resistance patterns among the isolates. Serotyping identified nine isolates (47.3%) as serogroup B, six isolates (31.5%) as serogroup C, and four isolates (21%) as serogroup D. The findings of this study showed the presence of Salmonella infection among captive birds. Due to the close contact between these type of birds and humans, these findings present an important risk for public health.