Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Learning Techniques for Low-Field MRI

Delft University of Technology (TU Delft), Leiden University Medical Center (LUMC), Pennsylvania State University (PSU) and Mbarara University of Science and Technology (MUST) have an ongoing collaboration to create an affordable, portable and simplified version of the magnetic resonance imaging (MRI) scan for the CURE children’s hospital to diagnose children with hydrocephalus (water on the brain). As opposed to the conventional MRI scan, the low-field MRI prototype uses permanent magnets to create a magnetic field in the order of Milliteslas (mT). A downside of the low-field MRI application is the difficulty with spatial encoding due to small variations in the strength of magnetic field. This is a major problem for image reconstruction. The purpose of this research was to implement a deep learning (DL) network to overcome two of the major bottlenecks in image reconstruction for low-field MRI. These are the lack of real measured data for DL purposes, and the signal model associated with the low-field MRI. For DL purposes we generated synthetic data and acquired measured data. Each dataset consists of samples and each sample consist of an image and the corresponding signal. Due to technical limitations the measured dataset is small, 53 samples. To partially circumvent the problem, the data set was augmented to a total of 1908 samples. In addition, we used Transfer learning, which is a powerful method that applies knowledge gained from one problem to a different but related problem. We present three image reconstruction techniques, Model I, II, and III, based on convolutional and feedforward neural networks, which take MR signal data as input and directly and quickly outputs an image. We demonstrated that DL generates high quality images using synthetic data. In addition, we showed that Model III needs less training to reconstructs good quality images compared to Models I and II, respectively. Finally, Models I and III were unsuccessfully applied to real measured data. However, this study shows that neural networks are able to find a mapping between signal and image, therefore this idea can be extended to work on real measured data.
A Survey of Designing Multilingual Document Retrieval and Ranking in Cloud

: The aim of this paper is to extract and fetch simple and efficient features to enhance multilingual document ranking (MLDR). Our approach is to extract monolingual and multilingual similarity features using a bilingual dictionary. In order to make this approach extensible for all other languages, no language-speci ﬁc tools are preferred to be used. The process of ranking the documents of various languages based on their relevancy to the query irrespective of query’s language is ranking for multilingual information retrieval (MLIR). There are some approaches which focuses on merging the relevant scores of different retrieval settings but do not learn the concept of ranking.The concept of web MLIR ranking in learning-to-rank(L2R) framework is preferred to be used. We create a ranking model to findout the relations among the documents and also to findout the joint relevance probability for the documents. We can improve the relevant estimation of documents in all the languagesusing this method .
Re-constructing and Reconciling the ‘Self’: Muslim Women of Bengal through the Performance of the ‘Wedding Sagas’

Keeping in mind the present cultural scenario, Muslim community studies have emerged as a cross-disciplinary field that includes sociological, political, economic, literary, and sexuality studies. This wide framework of crossdisciplinary subject position naturally addresses a number of multi-dimensional global issues. One such issue is the rich folk cultural tradition of Bengal that includes one particular strand of songs which is interestingly patronized solely by the Muslim women especially from some areas of Bengal. These women unfold all the stories of their domestic slavery, insults, suppressed desires, disgust against the male folk of their family—the trauma they have to undergo generations after generations, along with all their longings for a better life condition within their songs, in spite of knowing that they are never going to achieve them. Within this paper, I shall try to bring into the forefront how ages of oppression, as Foucault has observed, have led them to form a kind of passionate attachment to the forms of power that oppress them. This is problematic. Unless the oppression is recognized and worked through, no real liberation is possible for the oppressed. As a consequence, all these have remained simply as the instance of their fairytale, ‘wishful thinking’. The fear of being under constant surveillance by the oppressive authority compels them to self-restriction, in every sphere of their lives. Moreover, such a rich tradition has unfortunately never been imparted its due acknowledgment, neither within the family, nor by the greater society. Interestingly, within the whole Muslim world, there are very few instances of such practices of singing by women. Singing, in Islamic Shariyat, has been considered as ‘nafarmani’, i.e., against Islamic Shariyat. So the question that naturally engages the socio-political studies on this topic is, where from did such tradition emanate? In this context, the paper will also endeavor to investigate the origins of the emergence of such a rich and rare tradition.
Dispersion engineered slow light in photonic crystals: a comparison

We review the different types of dispersion engineered photonic crystal waveguides that have been developed for slow light applications. We introduce the group index bandwidth product (GBP) and the loss per delay in terms of dB ns − 1 as two key figures of merit to describe such structures and compare the different experimental realizations based on these figures. A key outcome of the comparison is that slow light based on photonic crystals performs as well or better than slow light based on coupled ring resonators.
Comparison of Early Invasive and Conservative Strategies in Unstable Angina and Non-Q-Wave Myocardial Infarction

Background Although coronary thrombosis plays a critical role in the pathogenesis of unstable angina and non-Q-wave myocardial infarction (NQMI), the effects of thrombolytic therapy in these disorders is not clear. Also, the role of routine early coronary arteriography followed by revascularization has not been established. Methods and Results Patients (n=1473) seen within 24 hours of ischemic chest discomfort at rest, considered to represent unstable angina or NQMI, were randomized using a 2x2 factorial design to compare (1) TPA versus placebo as initial therapy and (2) an early invasive strategy (early coronary arteriography followed by revascularization when the anatomy was suitable) versus an early conservative strategy (coronary arteriography followed by revascularization if initial medical therapy failed). All patients were treated with bed rest, anti-ischemic medications, aspirin, and heparin. The primary end point for the TPA-placebo comparison (death, myocardial infarction, or failure of initial therapy at 6 weeks) occurred in 54.2% of the TPA-treated patients and 55.5% of the placebo-treated patients (P=NS). Fatal and nonfatal myocardial infarction after randomization (reinfarction in NQMI patients) occurred more frequently in TPA-treated
Genome-wide Analysis of the Rice Mate Gene Family: Identi cation, Genomic Organization and Expression Pro les in Response to Abiotic Stresses

Zhixuan Du Jiangxi Agricultural University Qitao Su Jinggangshan University Zheng Wu Jiangxi Agricultural University Zhou Huang Jiangxi Agricultral University Jianzhong Bao Jiangxi Agricultural University Jianbin Li Jiangxi Agricultural University Hang Tu Jiangxi Agricultural University Chuihai Zeng Jiangxi Agricultural University Junru Fu (  fujunru2002@163.com ) Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Jiangxi Agricultural University, Research Center of Super Rice Engineering and Technology, Jiangxi Province, Collaboration Center for Double-season Rice Modernization Production, Nanchang, 330045, China; 2 School of Life Sciences, Jinggangshan University, 343009, Ji’an, China https://orcid.org/0000-00034712-4652 Haohua He Jiangxi Agricultural University
Intraflagellar transport (IFT) cargo: IFT transports flagellar precursors to the tip and turnover products to the cell body

ntraflagellar transport (IFT) is the bidirectional movement of multisubunit protein particles along axonemal microtubules and is required for assembly and maintenance of eukaryotic flagella and cilia. One posited role of IFT is to transport flagellar precursors to the flagellar tip for assembly. Here, we examine radial spokes, axonemal subunits consisting of 22 polypeptides, as potential cargo for IFT. Radial spokes were found to be partially assembled in the cell body, before being transported to the flagellar tip by anterograde IFT. Fully assembled radial spokes, detached I from axonemal microtubules during flagellar breakdown or turnover, are removed from flagella by retrograde IFT. Interactions between IFT particles, motors, radial spokes, and other axonemal proteins were verified by coimmunoprecipitation of these proteins from the soluble fraction of Chlamydomonas flagella. These studies indicate that one of the main roles of IFT in flagellar assembly and maintenance is to transport axonemal proteins in and out of the flagellum.
On the number of MPLS LSP using Multicast Tree Aggregation

— Multicast tree aggregation is an efﬁcient proposition that can solve the multicast forwarding state scalability problem. Existing works on tree aggregation have focused on developing and simulating protocols that build trees dynamically. However, the underlying problem of the impact of the tree construction al-gorithm on the performance of the protocols remains untouched. In this paper, we propose a study on the number of trees that need to be conﬁgured in a domain depending on the tree construction algorithm. We ran extensive simulations on several real domains and with different tree construction algorithms. Our results show that for a given set of multicast groups, even when this set includes all the possible groups, the number of trees needed to be conﬁgured is small. This allows a network administrator to conﬁgure off-line all these trees in order to maintain a stable set of trees and to have knowledge of the routes used by the multicast packets. Knowing the set of all the possible trees is also useful to determine the best of its subset to conﬁgure and to give an upper bound of the number of different trees.
The Delaunay Triangulation and Function Learning

In this report we consider the use of the Delaunay triangulation for learning smooth nonlinear functions with bounded second derivatives from sets of random input output pairs. We show that if interpolation is implemented by piecewise-linear approximation over a triangulation of the input samples, then the Delaunay triangulation has a smaller worst case error at each point than any other triangulation. The argument is based on a nice connection between Delaunay criterion and quadratic error functions. The argument also allows us to give bounds on the average number of samples needed for a given level of approximation . •International Computer Science Institute. Berkeley. CA.
Scale : psychometric properties of the Italian version . A pilot study

Aim: A new potential clinical condition related to overstudying, namely study addiction (Atroszko et al., 2015) or studyholism (Loscalzo and Giannini, 2017), has been recently proposed in literature. This study has been aimed at analysing the psychometric properties of the Italian version of the Bergen Study Addiction Scale (BStAS) (Atroszko et al., 2015). Material and methods: We recruited a sample of 374 university students aged between 18 and 47 years old (Mage = 24.30 ± 4.85). The students’ years of study and major subjects varied. By means of exploratory and confirmatory factor analyses (EFA and CFA), we analysed the instrument’s factorial structure. Moreover, we evaluated its internal reliability and divergent validity. Results: The Italian version of BStAS does not have fully satisfying psychometric properties. Two items (i.e. salience and tolerance) in this scale are problematic, as shown by both EFA and CFA. Conclusions: This study provides support for the usefulness of BStAS for future studies aimed at a further analysis of the features of this new potential clinical condition. However, more extensive research is needed to improve its psychometric properties in Italian students.
Follicular Dendritic Cells Depletion of Splenic Interdigitating and Sepsis Induces Apoptosis and Profound

†‡ Dendritic cells are a phenotypically diverse group of APC that have unique capabilities to regulate the activity and survival of B and T cells. Although proper function of dendritic cells is essential to host control of invading pathogens, few studies have examined the impact of sepsis on dendritic cells. The purpose of this study was to determine the effect of sepsis on splenic interdigitating dendritic cells (IDCs) and follicular dendritic cells (FDCs) using a clinically relevant animal model. Immunohistochemical staining for FDCs showed that sepsis induced an initial marked expansion in FDCs that peaked at 36 h after onset. The FDCs expanded to ﬁll the entire lymphoid zone otherwise occupied by B cells. Between 36 and 48 h after sepsis, there was a profound caspase 3 mediated apoptosis induced depletion of FDCs such that only a small contingent of cells remained. In contrast to the initial increase in FDCs, IDC numbers were decreased to (cid:1) 50% of control by 12 h after onset of sepsis. IDC death occurred by caspase 3-mediated apoptosis. Such profound apoptosis induced loss of FDCs and IDCs may signiﬁcantly compromise B and T cell function and impair the ability of the host to survive sepsis. The Journal of Immunology, 2003, 171: 909–914.
Social and Family Role Stress, Feminist Identity Development, Meaning In Life and Quality of Relationships among Working and Non-Working Women

Indian women have had their fair share of power struggle over the decades. Even though the gender equality and women empowerment has been on the rise, Indian women still continually face increased stressors in their personal as well as professional life domains. This study was designed along the same lines to investigate the social and family role stress, feminist identity development, meaning in life and quality of relationships among working and non-working women in Jaipur city. The sample size of 100 was segregated on the basis of their working status (50 non working women and 50 working women). The objective of the research was to find the discrepancy in the aforesaid variables among the two groups. The following research tools were employed to test the hypotheses: Social Family Role Stress Scale (SFRS) (Vadra & Akhtar, 1990), Feminist Identity Development Scale (FIDS) (Bargad & Hyde, 1991), Meaning in Life Questionnaire (MLQ) (Steger et al., 2006), and Relationship Assessment Scale (Hendrick, 1988).
Dietary intake and cognitive performance in Canadian community-dwelling older adults

Globally, older adults aged 65 years or older are the fastest growing population with an expected trajectory to double their current 8% of the world’s total population by 2050 [1]. For Canada, this means an expected 10.4 million older adults by 2036 [2]. Canada incurred an expenditure of an estimated 33 billion dollars per year, including combined medical costs and lost earnings associated with cognitive decline in 2012, and it’s projected to increase to $293 billion a year by 2040, putting a significant financial strain on the health care system [3]. Therefore, devising responses and prevention strategies to address the modifiable personal and financial losses associated with cognitive decline is a priority.
An evidential fuzzy similarity-based method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories

Data-driven methods for direct prognostic map the relationship between monitored parameters and equipment Remaining Useful Life (RUL). They typically require the availability of a set of run-to-failure degradation trajectories for model training. Yet, in many industrial applications, equipment is often replaced before they fail to avoid catastrophic consequences on production and safety. Then also, incomplete degradation trajectories are available. In this work, we develop a method for predicting equipment RUL, and the related uncertainty based on both complete and incomplete degradation trajectories. The method is based on the combined use of a Fuzzy Similarity (FS) measure and Evidence Theory (EvT). Application of the method on two case studies shows that it provides accurate RUL predictions, also in comparison with a FS-based method of literature.
Consistency Between Research and Clinical Diagnoses of Autism Among Boys and Girls with Fragile X Syndrome

Background—Prior research suggests that 60–74% of males and 16–45% of females with fragile X syndrome (FXS) meet criteria for autism spectrum disorder (ASD) in research settings. However, relatively little is known about the rates of clinical diagnoses in FXS and whether such diagnoses are consistent with those performed in a research setting using gold standard diagnostic tools. Method—This study explored whether boys and girls with FXS met criteria for ASD in a research setting using the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview-Revised (ADI-R), and then compared these data with the frequency of parent-reported clinical diagnoses. We also examined child and family characteristics as potential diagnostic predictors across settings. Participants included 35 females and 51 males with FXS (mean age: 10 years), who were from Eastern and Midwestern regions of the United States. Results—About half of the children met criteria for ASD on either the ADOS or ADI-R, with ASD occurring three times more frequently in males than females (~75% versus ~25%). In contrast, ~25% of participants of both genders had received a clinical diagnosis of ASD. While cognitive and language skills predicted diagnostic outcome on the ADOS and ADI-R, these skills did not predict clinical diagnoses. Executive functions predicted clinical diagnoses, but not diagnoses per the ADOS or ADI-R. Conclusions—ASD in FXS may be under-diagnosed in clinical/educational settings, which raises questions regarding access to ASD-related services. Correspondence to: Molly Losh, m-losh@northwestern.edu. NIH Public Access Author Manuscript J Intellect Disabil Res. Author manuscript; available in PMC 2015 October 01. Published in final edited form as: J Intellect Disabil Res. 2014 October ; 58(10): 940–952. doi:10.1111/jir.12121. N IH -P A A uhor M anscript N IH -P A A uhor M anscript N IH -P A A uhor M anscript
Construction and Validation of Students’ Representations Questionnaire of Sport (SRQS)

still lacking. Abstract The purpose of the present investigation is to evaluate the psychometric properties of the French version of the Students’ Representations Questionnaire of Sport (SRQS). It aims to construct and validate a Questionnaire for teenager Students designed to assess the extent of their representations to practice the sport of pole vaulting in educational environment. For this purpose, the SRQS was applied to 361 students (175 girls and 186 boys; age ranges between 15 and 18 years) participated in our study. The Confirmatory Factor Analysis showed that the French Questionnaire SRQS maintains good psychometric properties, supporting the representation of students for the practice of pole vault sport at school. Regarding factor analysis, the correlations between the Questionnaire subscales were accepted; internal consistencies were good; and the pole vault interest indexes were consistent with previous researches. Therefore, it is concluded, that the findings corroborate the application of SRQ-S as a psychometric useful measure of the students’ representations of the practice of pole vault sport in educational setting, highlighting its validity and reliability. The integration of Pole Vaulting in physical education might be a gain.
A COMPARATIVE RESEARCH ANALYSIS ON THE ASSOCIATION OF ANXIETY, DEPRESSION, DEMOGRAPHIC DETERMINANTS AND STRESS WITH HYPERTENSION

Abstract: Objective: To discover the psychological and socio-economic factors (Dejection, Restlessness and Stress) responsible for high blood pressure (hypertension). Method: The study was a comparative analysis for a sample of 237 people. The sample consisted of 100 controls and 137 hypertensive patients. DASS (Depression, Anxiety and Stress Scale) was used for the measurement of these parameters. Results: The study delivered that the depression, anxiety and stress are directly related to the high blood pressure (p < 0.001). Other factors such as job status, family size (dependents), body weight and job timings also effected the patients’ blood pressure. Conclusion: High blood pressure is strongly associated with dejection, restlessness and mental pressure. The demographic variables were also seen connected with hypertension. The study in hand will surely enhance the knowledge and awareness of the concerned about hypertension and associated risk factors.
A effects plant extract shows novel sanitising against Escherichia coli on romaine lettuce and cucumber

Background: Diarrhoeal diseases affect approximately 550 million people and account for 230,000 deaths every year globally. Children in particular are at risk of foodborne diarrhoeal diseases, with 220 million falling ill and 96,000 dying every year. In 2017, an outbreak of diarrhoea caused by Escherichia coli (E. coli) occurred as a result of consuming contaminated/ill-washed Romaine lettuce in the USA. Consumption of ready-to-eat vegetables (RTEV) is increasing around the globe. Objective: The current study sought to assess the efficacy of extracts of selected African medicinal plants [Lannea edulis (Sond.) Engl. var. Edulis (L. edulis), Cassia abbreviata Oliv. (C. abbreviata), Solanum incanum (S. incanum) and Grewia bicolor (G. bicolor)] on removal of E. coli, an indicator of faecal contamination from Lactuca sativa L. var. longifolia (L. sativa) (Romaine lettuce) leaves, and Cucumis sativa L. (C. sativa) (cucumber) surfaces. Methods: Two cm square sections of lettuce and cucumber epidemal tissues were soaked in extracts of the medicinal plants (10 -1 of original extracts) for 1 hr. Washing of the RTEV with sterile water caused significant reductions in E. coli loads on lettuce or cucumber (P < 0.01) surfaces compared to unwashed controls. Results: Extracts from the medicinal plants caused reductions in E. coli loads on all both RTEV (load reduction by at least 2 log colony forming units (CFU)/cm) (P < 0.01) without changes in surface morphology and colour. Use of extracts from L. edulis, C. abbreviata, S. incanum and G. bicolor have potential for use in sanitisation of RTEV, especially in killing, inhibiting or removing pathogenic E. coli that are transmitted via these fresh foods and products. While washing with G. bicolor resulted in significant reductions of E. coli on cucumber and lettuce surfaces, its efficacy was lowest compared to the rest of the treatments; hence, it is the least favourable of the selected medicinal plants. Soaking in the extract preparations did not lead to significant changes in odor, texture or taste of the vegetables. Conclusion: Use of extracts from these plants is suggested as a possible way to sanitise RTEV to reduce occurrence of, or contain outbreaks of diseases that are borne on these vegetables.