Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation of Breast Cancer with the Epstein Bar Virus and Human Cytomegalovirus Frequency and the Expression of Estrogen Receptor-Beta and IL-6 Receptor in Iraqi Women

Background and Purpose: In Iraq, breast cancer is the common type of female malignancy. Increasing indication in the past 10 years proposes that Epstein-Barr virus (EBV) and cytomegalovirus (HCMV) are related with some human malignancies including breast cancer. The part of EBV and HCMV in breast cancer is still debatable. Unraveling this relationship is potentially essential for better understanding of breast cancer etiology, early recognition and possibly inhibition of breast cancer The purpose of the current study is to detect the correlation between EBV, HCMV and breast cancer in Iraqi women and expression of ERB and IL-6R in breast tissues. Patients and Methods: The study was done on paraffin-embedded tissues of eighty Iraqi patients with breast cancer in addition to twenty normal breast tissues as controls. Both controls and breast cancer mass are divided into two sections, one for DNA extraction and amplification by real time PCR for detect EBV and HCMV occurrence while the other section processed for protein expression (IL-6R, ERB) by immunohistochemistry technique (IHC). Results: The result showed that 18/80 (22.5%) and 5/80 (6.25%) sample from breast cancer were positive for EBV and HCMV respectively, with the p-value = 0.062 and 0.597 and the results of IHC for IL-6R and ERB expression in patients with breast cancer were 37/80 (46.25%) and 30/80 (37.5%) p-value = (0.274 and 0.381) respectively. Conclusions: Our findings suggest that EBV might have a role in the pathogenesis of breast cancer and absence this role between HCMV with breast cancer. These findings were based mainly on EBV, HCMV detection by PCR technique. So, the rolesof these viruses in the development of breast cancer remain unclear.
Taxonomic notes on the genus Chaenorhinum (Plantaginaceae) in Turkey

Abstract Chaenorhinum gerense is an eastern Mediterranean species with rare distribution and a large variety in plant and seed morphology. In this study, the accuracy of the taxonomic status of this species, which was initially reported by P.H. Davis as C. rubrifolium from south eastern Turkey, is discussed and the typical representatives of C. rubrifolium were collected for the first time for Turkey from Muğla province, southwestern Anatolia. C. gerense is closely related to the C. rubrifolium, from which it differs by having a small and cream corolla with red blotch, capsule as long as or smaller 1/2-calyx teeth and triangular or rectangular blunt crest on seed. Detailed descriptions and identification keys for these two taxa are provided.
“Valid” Failure in the Design of Digital Games: An Introspective View from a Player’s Perspective

This paper identifies a knowledge gap about certain forms of failure, what I call valid failure, found within video game design from developer commentary. The theories developed thus far for categorising and exploring player failure in general are quite limited but this is particularly true of those associated with the validation of failure. A literature review of the research surrounding the areas of failure within game studies, psychology and learning studies provides both a foundation upon which to expand on the theory of valid failure within game design and also the tools to develop it further. A methodology for analysing games to determine their ability to validate player failure is developed and applied to three case studies, analysed from a player’s perspective, which are representative of broader trends within game design relating to designing for valid player failures. This paper lays out one possible design strategy that can be taken when exploring such design approaches, a strategy grounded in interpreting failure through the lens of challenge. However, further exploration is needed to achieve a real understanding of such a complex phenomena.
Investigating the Effect of Sentiment in High-Frequency Financial Markets

High-frequency trading (HFT) is a financial trading strategy that is growing in popularity among major trading firms. At the turn of the 21st century, HFT trades had an execution time of several seconds, whereas by 2010 this had decreased to milli-and even microseconds. This recent growth in HFT is paralleled by a massive increase in user-generated social media data, where every day hundreds of thousands of opinions are shared in the form of discussion, reviews and social media statuses. This research aims to leverage the rapid growth in social media, specifically Twitter, to investigate the effect of sentiment in high-frequency financial markets. This thesis presents a system that automatically retrieves and aggregates firm-specific Twitter data for the purpose of sentiment analysis. Leveraging computational linguistics, it computes a domain-specific affect dictionary from the corpus of tweets for use during sentiment analysis. It then extracts a negative sentiment time series using the Rocksteady affect analysis system at a daily, 5-minute and 1-minute frequency. The resultant time series are then aggregated with firm-specific financial stock returns at their respective frequencies. Finally, the time series are examined using four different vector autoregressive (VAR) models, which individually examine the independent effect of different sentiment variables on returns. The analysis of the system, using Ryanair as a case study, found that sentiment extracted from social media, specifically Twitter, plays a small but significant role in explaining the returns of an asset but its explanatory power varies at different frequencies. The research shows that the VAR models fit better at a daily frequency than at high-frequency due to the volatile nature of the time series. However, a week-by-week analysis shows that high-frequency sentiment extracted from tweets contributes significantly to modelling the returns in certain situations, in particular during periods of consistent volatility. Thus, negative sentiment found in tweets can be very appropriate for use in high-frequency trading strategies but the circumstances under which it is significant need to be thoroughly examined in future work.
Acute Myocardial Infarction Followed by Acute Necrosis Cholecystitis and Sepsis: Treatment in Dilemma

Studies showed a high risk of major adverse cardiac events if a non-cardiac surgery was performed early after coronary stenting. There is no literature about non-cardiac surgery early after acute myocardial infarction. We present a 66 years old woman suffered from fever and shiver on the 6th day after coronary stenting for acute myocardial infarction with continuously use of dual antiplatelet and anticoagulant drugs. Immediately after acute cholecystitis and gall stone were diagnosed by abdominal ultrasonography on the 7th day, we performed an emergency open cholecystectomy. The pathological examination showed acute hemorrhagic and necrosis cholecystitis and inflammation of surrounding tissues. Three days later, clopidogrel and aspirin was reinstituted to her with no major adverse cardiac events or surgery complications. doi:10.4021/jmc450w
Patterns of online student enrolment and attrition in Australian open access online education: a preliminary case study

Swinburne University of Technology has experienced tremendous growth in open access online learning and as such is typical of the many Australian institutions that have ventured into online tertiary education. While research in online education continues to expand, comparatively little investigates students’ enrolment and attrition. This research examines commencing enrolment and associated student withdrawal data, as well as performance scores from eight units forming a Marketing Major for an open access online undergraduate degree. Since data were collected over a five year period, trends and patterns within a substantial online undergraduate program can be explored. The paper discusses the challenges of analysing enrolment data. Initial findings suggest that retention strategies should be designed according to the stage students are at in their studies. Furthermore, the research informs the prioritisation and development of more effective enrolment and performance data reporting capabilities, which in turn would benefit student management and retention.
Prevalence of Antifungal Resistant Strains of Candida Species in Immunocompromised Patients Dr .

The invitro susceptibilities of 50 Candida species isolates were tested against two antifungal agents by a disc diffusion of CLSI M44-A2 method for fungal susceptibility testing. The Candida species shows resistance towards Amphotericin B and fluconazole. According to the results obtained, candida albicans was the, most frequently isolated with 86%, this was followed by C. tropicalis 4%, C. krusie 2% and C.parapsilosis 2%. In the current study it is found that a number of Candida isolates resistant to amphotericine B were 46.5% where as 11.9% strains were interpreted as semi dose dependent and non-albicans Candida all showed 100% resistance to Amphotericine B. However, the study with fluconazole shows 65% of Candida isolates were resistant whereas, non-albicans candida all showed 100% resistance.
A very accurate measurement system for multielectrode capacitive sensors

A very accurate capacitance-measurement system consisting of a discrete capacitance-dependent oscillator and a microcontroller has been developed. It can measure multielectrode capacitors with capacitances up to 2 pF, with an accuracy of 100 ppm with respect to a reference capacitor. The resolution amounts to 50 aF with a total measurement time of 300 ms.
Picture Perfect: The Direct Effect of Manipulated Instagram Photos on Body Image in Adolescent Girls

ABSTRACT This study investigates the effect of manipulated Instagram photos on adolescent girls’ body image, and whether social comparison tendency moderates this relation. A between-subject experiment was conducted in which 144 girls (14–18 years old) were randomly exposed to either original or manipulated (retouched and reshaped) Instagram selfies. Results showed that exposure to manipulated Instagram photos directly led to lower body image. Especially, girls with higher social comparison tendencies were negatively affected by exposure to the manipulated photos. Interestingly, the manipulated photos were rated more positively than the original photos. Although the use of filters and effects was detected, reshaping of the bodies was not noticed very well. Girls in both conditions reported to find the pictures realistic. Results of this study implied that the recent societal concern about the effects of manipulated photos in social media might be justified, especially for adolescent girls with a higher social comparison tendency.
Analysis of Multi-Server Two-Stage Queueing Network with Split and Blocking

Parallel lines are often used to increase production rate in manufacturing system or model the multiple-product manufacturing systems. In parallel systems, the main line splits into several lines in parallel, and after some operations, they merge into a main line again. This paper provides an approximation technique for multi-server two-stage networks with splits and blocking which will be a building block for analysis of the parallel system with splits.
A PHONETIC EXAMINATION OF CALIFORNIA

The mass of land making up the West is a large and undifferentiated area in terms of dialect identification. In order to reclassify this, smaller scale and more detailed studies of the states within the area need to be conducted. This study focuses on California by exploring the current status of its inhabitants’ vowels in the context of a potential North and South division as well as in comparison to previous conclusions made about the state. Through an experiment in which the spectral qualities and durations of the vowels /i/, /ɪ/, /ɛ/, /æ/, /ɑ/, /ɔ/, /ʊ/, /u/ /ᴧ/, /ɹ/, /eɪ/, /aɪ/, /aʊ/, /oʊ/, and /oɪ/ of 10 Northern California and 11 Southern California speakers were examined, it was determined that, phonologically, the state makes up a single dialect. However, the two areas do seem to show divergence in the phonetic realization of gender through duration differences. Furthermore, the current study brings into question former assertions of shift originating in Northern California (Eckert, 2008).
Reducing DRAM Latency via Charge-Level-Aware Look-Ahead Partial Restoration

Long DRAM access latency is a major bottleneck for system performance. In order to access data in DRAM, a memory controller (1) activates (i.e., opens) a row of DRAM cells in a cell array, (2) restores the charge in the activated cells back to their full level, (3) performs read and write operations to the activated row, and (4) precharges the cell array to prepare for the next activation. The restoration operation is responsible for a large portion (up to 43.6%) of the total DRAM access latency. We find two frequent cases where the restoration operations performed by DRAM do not need to fully restore the charge level of the activated DRAM cells, which we can exploit to reduce the restoration latency. First, DRAM rows are periodically refreshed (i.e., brought back to full charge) to avoid data loss due to charge leakage from the cell. The charge level of a DRAM row that will be refreshed soon needs to be only partially restored, providing just enough charge so that the refresh can correctly detect the cells' data values. Second, the charge level of a DRAM row that will be activated again soon can be only partially restored, providing just enough charge for the activation to correctly detect the data value. However, partial restoration needs to be done carefully: for a row that will be activated again soon, restoring to only the minimum possible charge level can undermine the benefits of complementary mechanisms that reduce the activation time of highly-charged rows. To enable effective latency reduction for both activation and restoration, we propose charge-level-aware look-ahead partial restoration (CAL). CAL consists of two key components. First, CAL accurately predicts the next access time, which is the time between the current restoration operation and the next activation of the same row. Second, CAL uses the predicted next access time and the next refresh time to reduce the restoration time, ensuring that the amount of partial charge restoration is enough to maintain the benefits of reducing the activation time of a highly-charged row. We implement CAL fully in the memory controller, without any changes to the DRAM module. Across a wide variety of applications, we find that CAL improves the average performance of an 8-core system by 14.7%, and reduces average DRAM energy consumption by 11.3%.
Characteristics of Effective Instructors from the Students' Perspective in Swiss Higher Education

This experiential analyse targets to develop a deeper understanding of the expectations regarding the teaching qualities of effective lecturers that student's desire. The main objective of the present paper is to uncover the constructs that underlie these prospects in order to reveal the primary benefits that students seek. A semi-standardized qualitative technique called laddering was applied that allows researchers to stretch deeper levels of reality. This technique involves progression from attributes to benefits to more abstract values. The study results demonstrate that students want lecturers to be knowledgeable, empathic, enthusiastic, approachable, and friendly. The Lecturers should have communicative competence. Students' desire to learn something appears to be the most important concern and the key concept of meaning altogether. They predominately want to encounter appreciated teaching experiences to be fit for their job. Underlying student's values are self-fulfilment, achievement, security, well-being.
Block-based Adaptive Mesh Refinement Finite-volume Scheme for Hybrid Multi-block Meshes

A block-based adaptive mesh re nement (AMR) nite-volume scheme is proposed and developed for solution of hyperbolic conservation laws on two-dimensional hybrid multi-block meshes. A Godunov-type upwind nite-volume spatial-discretization scheme, with piecewise limited linear reconstruction and Riemann-solver based ux functions, is applied to the quadrilateral and triangular cells of the hybrid multi-block mesh and these computational cells are embedded in either bodytted structured or general unstructured grid partitions or subdomains of the hybrid grid. A hierarchical quadtree data structure is used to allow local re nement of the individual subdomains based on heuristic physics-based re nement criteria. An e cient and scalable parallel implementation of the proposed algorithm is achieved via domain decomposition. The hybrid mesh approach readily allows for the use of bodytted structural mesh blocks in the vicinity of bodies and solid surfaces, where the structured nature and orthogonality of the grid to the boundary can provide added accuracy and solution e ciency and the use of general unstructured partitions to ll the remaining computational domain and connecting the structured mesh. The use of unstructured grid topology to connect the bodytted blocks near solid boundaries greatly simpli es the initial grid generation process. The performance of the proposed parallel hybrid AMR scheme is demonstrated through application to the solution of the Euler equations of compressible gas dynamics for a number of ow problems in two space dimensions. The e ciency of the AMR procedure and accuracy, robustness, and scalability of the hybrid mesh scheme are assessed.
Design of Mucoadhesive PLGA Microparticles for Ocular Drug Delivery.

Topically administered ocular drug delivery systems typically face severe bioavailability challenges because of the natural protective mechanisms of eyes. The rational design of drug delivery systems that are able to persist on corneal surfaces for sustained drug release is critical to tackle this problem. In this study, we fabricated monodisperse chitosan-coated PLGA microparticles with tailored diameters from 5 to 120 μm by capillary microfluidic techniques and conducted detailed investigations of their mucoadhesion to artificial mucin-coated substrates. AFM force spectroscopy revealed strong instant adhesion to mucins, whereas the adhesion force, rupture length, and adhesion energy were positively correlated to the particle diameter and contact time. Particle detachment tests under shear flow in a microfluidic mucin-coated flow cell were in accord with the AFM measurements and revealed that microparticles smaller than 25 μm exhibited strong persistence in the flow cell, withstanding high shear rates up to 28,750 s-1 which are equivalent to the harshest in vivo ocular conditions. A simple scaling analysis connects the AFM and detachment tests, and reveals the existence of a threshold diameter below which mucoadhesion performance essentially saturates-an important insight in managing the opposing design criteria of enhanced mucoadhesion and slow, sustained drug delivery. Our findings thus pave the way for the rational design of mucoadhesive microparticulate ocular drug delivery systems that are capable of enhancing the bioavailability of topically applied drugs to eyes, as well as to other tissues whose epithelial surfaces contain mucosae.
Design and Development of Miniature Turbine Based Flow Sensing Device for Respiratory Flow Diagnosis

Pulmonary diseases form an important part of the national burden of diseases. Respiratory flow testing is integral to management of pulmonary diseases. The paper presents exploratory study and design of a flow sensing device that is used to diagnose the respiratory flow. It is helpful in reliable and fast screening of respiratory diseases, so that appropriate action can be taken to cure the diseases. The system is designed in a modular way and consists of: mouthpiece, interfacing hardware and software unit. A spirometer is a medical instrument designed to measure the flow of air inspired or expired by human lungs. The device is designed to perform a spirometry test which provides us with two important parameters: Forced Vital Capacity (FVC) and Forced Expiratory Volume in the first second (FEV1). These parameters are helpful in determining the results. Primary focus is not to identify the type of respiratory disease but to calculate the parameters FVC, FEV1 and their ratio so that a comparative analysis can be done based on the different readings of the same test object for each individual. For a normal person the ratio FEV1/FVC is 75% or more. The device consists of a mouthpiece, inside which a miniature turbine is fixed. Hall sensor sense the rotations of turbine and & gives the output voltage proportional to the magnetic field strength, which is proportional to rotations of turbine. The purpose of the AT89s52 is to convert the rotations of turbine to a particular volume by as per the input air flow. Flow rate is calculated and can be used by physicist to diagnose the patient.
Estimation of Electrode Position with Fused Images of Preoperative MRI and Postoperative CT Using the Mutual Information Technique After STN DBS in Patients with Advanced Parkinson's Disease

Diagnostics and Rehabilitation of Parkinson's Disease presents the most current information pertaining to news-making topics relating to this disease, including etiology, early biomarkers for the diagnostics, novel methods to evaluate symptoms, research, multidisciplinary rehabilitation, new applications of brain imaging and invasive methods to the study of Parkinson's disease. Researchers have only recently begun to focus on the non-motor symptoms of Parkinson's disease, which are poorly recognized and inadequately treated by clinicians. The non-motor symptoms of Parkinson's disease have a significant impact on patient quality of life and mortality and include cognitive impairments, autonomic, gastrointestinal, and sensory symptoms. In-depth discussion of the use of imaging tools to study disease mechanisms is also provided, with emphasis on the abnormal network organization in parkinsonism. Deep brain stimulation management is a paradigm-shifting therapy for Parkinson's disease, essential tremor, and dystonia. In the recent years, new approaches of early diagnostics, training programmes and treatments have vastly improved the lives of people with Parkinson's disease, substantially reducing symptoms and significantly delaying disability. Written by leading scientists on movement and neurological disorders, this comprehensive book should appeal to a multidisciplinary audience and help people cope with medical, emotional, and practical challenges.