Miracle-dz/UniFAR-FTUs huggingface dataset:
P3.272 Prevalence of Chlamydia Trachomatis, Neisseria Gonorrhoeae and Ureaplasma Urealyticum in Pregnant Women of Sabzevar - Iran

Background One approach to eliminating sexually transmitted Infections (STIs) in a community is to screen high-risk persons, followed by the treatment and education of people who test positive. We examined a Triplex PCR assay to detect urine samples in pregnant women. major goal of this study was to determine the prevalence of Chlamydia trachomatis (Ct.), Neisseria gonorrhoeae (Ng.) and Ureaplasma Urealyticum (Uu.) and to apply a Triplex PCR techniques to detect 3 pathogens in one specimens. Methods A cross-sectional study was conducted among 399 pregnant adolescents women. All participants received prenatal care and delivered at urban hospital in Sabzevar- Iran. A socio- demographic questionnaire was completed. A Triplex PCR with universal primers was developed for screening of subjected women in this study. Descriptive and univariate analyses were performed to describe disease prevalence. Results Of pregnant adolescents, 15.28% were diagnosed with either Ct. , Ng. or Uu.infection. The prevalence of Ct. was 12.28%, and that of Ng 1.25% and finally 19.54% of pregnant had Uu. infection. In univariate analysis, Ct. was associated with having had any level of education (P < 0.05), abortion (P < 0.05), and Uu. was associated with PTD (P < 0.05). Multivariate analysis did not show any significant association. Conclusions Compared with available data, a decline of STIs prevalence was observed in our setting. This might be the result of community-based education programmes focusing on changes to sexual behaviour. However, STIs rates are still high, and the problem needs more concrete and sustained efforts for its control. Screening for Ct. , Ng. and Uu.is recommended during pregnancy. Based on our finding in this study, the overall high incidence of Ct.and Uu. support screening recommendations for pregnant women in Sabzevar- Iran.
How the Ageism Influenced on Elder Abuse and the Mediating Effects of Counselling from Public Organizations :Focusing on Care Helpers Working at Elderly Long-term Care Institutions

This study investigated how the ageism of geriatric care helpers influenced on elder abuse during their long-term care service for elderly, and analyzed the mediating effects of counselling from public organizations on the causal relationship between ageism and elder abuse. The data used in this study was collected from 627 of care helpers working at elderly long-term care institutions in Gyeongsangnam-do Province, using structured survey(or questionnaire), and analyzed by Baron and Kenny(1986)‘s multiple regression method. Ageism has a meaningful influence on elder abuse and counselling from public organizations has meaningful mediating effect on the relationship between ageism and elder abuse. These results show that elder abuse according to ageism can be improved by counselling from public organizations and It presents some practical implications for ageism and counselling from public organizations. ■ keyword :∣Elderly Long-term Care Institution∣Elder Abuse∣Ageism∣Counselling Of Public Organization∣
Phase synchronization varies systematically with linguistic structure composition

Computation in neuronal assemblies is putatively reflected in the excitatory and inhibitory cycles of activation distributed throughout the brain. In speech and language processing, coordination of these cycles resulting in phase synchronization has been argued to reflect the integration of information on different timescales (e.g. segmenting acoustics signals to phonemic and syllabic representations; (Giraud and Poeppel 2012 Nat. Neurosci. 15, 511 (doi:10.1038/nn.3063)). A natural extension of this claim is that phase synchronization functions similarly to support the inference of more abstract higher-level linguistic structures (Martin 2016 Front. Psychol. 7, 120; Martin and Doumas 2017 PLoS Biol. 15, e2000663 (doi:10.1371/journal.pbio.2000663); Martin and Doumas. 2019 Curr. Opin. Behav. Sci. 29, 77–83 (doi:10.1016/j.cobeha.2019.04.008)). Hale et al. (Hale et al. 2018 Finding syntax in human encephalography with beam search. arXiv 1806.04127 (http://arxiv.org/abs/1806.04127)) showed that syntactically driven parsing decisions predict electroencephalography (EEG) responses in the time domain; here we ask whether phase synchronization in the form of either inter-trial phrase coherence or cross-frequency coupling (CFC) between high-frequency (i.e. gamma) bursts and lower-frequency carrier signals (i.e. delta, theta), changes as the linguistic structures of compositional meaning (viz., bracket completions, as denoted by the onset of words that complete phrases) accrue. We use a naturalistic story-listening EEG dataset from Hale et al. to assess the relationship between linguistic structure and phase alignment. We observe increased phase synchronization as a function of phrase counts in the delta, theta, and gamma bands, especially for function words. A more complex pattern emerged for CFC as phrase count changed, possibly related to the lack of a one-to-one mapping between ‘size’ of linguistic structure and frequency band—an assumption that is tacit in recent frameworks. These results emphasize the important role that phase synchronization, desynchronization, and thus, inhibition, play in the construction of compositional meaning by distributed neural networks in the brain. This article is part of the theme issue ‘Towards mechanistic models of meaning composition’.
Assessin Children's Development Using Parents' Reports

The Child Development Inventory (CDI), completed by parents at home, assesses the development of social, self-help, motor, language, letter and number skills, and presence of symptoms and behavior problems of children between the ages of 15 months and 5 years. The results provide the pediatrician with a profile of the child's development, problems, and strengths, and are an aid to comprehensive assessment. CDI norms and validity were determined for a community sample of 568 children. The CDI developmental scales correlate closely with age (r= 0.84). CDI results identified all the normative group children who were enrolled in early childhood/special education (N = 26) and correlated with academic achievement for children in kindergarten (N = 132). CDI scales correlated with reading achievement in kindergarten as follows: general development 0.69, letters 0.56, language comprehension 0.42, expressive language 0.36, and self-help 0.35. Thus, the CDI provides a useful measure of children's development and, because of its reliance on parental reports, offers an effective approach to developmental assessment in the busy pediatric practice.
A comparison of the HLA database of the Romanian population with the Balkan populations

The antigens of the HLA system represent a distinctive marker in identifying racial and population groups by means of an anthropological and relational characterization. Building a database is beneficial to forensic identification, to implement transplant programs and to determine a predisposition to certain illnesses. We performed the HLA class I serotyping on the antigens on HLA A and HLA B loci for 1250 unrelated individuals from the Romanian population; based on this we calculated the allelic frequency. The most frequent antigen on the HLA A locus was HLA A2, and on the HLA B locus was HLA B35. We subsequently compared the results we obtained for the Romanian population with similar data from several Balkan populations.
Significance of TP53 mutation in bladder cancer disease progression and drug selection

Background The tumor protein p53 (TP53) mutant is one of the most frequent mutant genes in bladder cancer. In this study, we assessed the importance of the TP53 mutation in bladder cancer progression and drug selection, and identified potential pathways and core genes associated with the underlying mechanisms. Methods Gene expression data used in this study were downloaded from The Cancer Genome Atlas and cBioportal databases. Drug sensitivity data were obtained from the Genomics of Drug Sensitivity in Cancer. We did functional enrichment analysis by gene set enrichment analysis (GSEA) and the Database for Annotation, Visualization and Integrated Discovery (DAVID). Results We found the TP53 mutation in 50% of bladder cancer patients. Patients with the TP53 mutation were associated with a lower TP53 mRNA expression level, more advanced tumor stage and higher histologic grade. Three drugs, mitomycin-C, doxorubicin and gemcitabine, were especially more sensitive to bladder cancer with the TP53 mutation. As for the mechanisms, we identified 863 differentially expressed genes (DEGs). Functional enrichment analysis suggested that DEGs were primarily enriched in multiple metabolic progressions, chemical carcinogenesis and cancer related pathways. The protein–protein interaction network identified the top 10 hub genes. Our results have suggested the significance of TP53 mutation in disease progression and drug selection in bladder cancer, and identified multiple genes and pathways related in such program, offering novel basis for bladder cancer individualized treatment.
Habitat selection of the common dormouse Muscardinus avellanarius in Denmark

6 Introduction . 6 Materials and methods . 7 Selection of home ranges within populations . 7 Selection within home ranges . 8 Definition and assessment of habitat variables . 8 Data analysis . 8 Location of home ranges within populations: . 9 Selection within home ranges: . 9 Results . 11 Habitat selection on home range level: Conditional probability of use of nest boxes or nest tubes 11 Selection within home ranges . 11 Discussion . 13 Acknowledgements . 14 References . 15 Appendix . 18 1.1 . 18 1.2 . 18 1.3 . 19 2.1 . 19 2.2 . 20 2.3 . 20 Presentation at the 9th International Dormouse Conference . 21 Dansk titel: Habitatselektion af hasselmusen Muscardinus avellanarius i Danmark Vejledere: Peter Sunde, Institut for Bioscience, Kalø, Aarhus Universitet Lars Dalby, Institut for Bioscience, Kalø Aarhus Universitet Censor: Thomas Secher Jensen, Naturhistorisk Museum, Aarhus Afleveret d. 1. oktober 2014 Forsidebilleder af Rasmus Mohr Mortensen
Scalable Curriculum Learning for Artificial Neural Networks

Abstract: Learning process of people usually starts with easy samples and goes towards hard ones. Using this method for machine learning is called curriculum learning. Samples are given in an order related to their difficulty level, rather than in random order. The aim of this approach is to create models that have better generalization performance. In existing studies, difficulty levels of the samples were determined by prior knowledge and given to the system. However, this is not a scalable approach for every application. Because of that, such studies were usually carried out in very limited application areas. In this study, a new approach is proposed that automatically generates difficulty levels of the samples from data sets. In this way, it is possible to overcome mentioned constraint in the implementations. Thus, curriculum and anti-curriculum learning methods could be applied on many different application areas. In the experiments where artificial neural networks are used as learners, more successful results were obtained with curriculum and anti-curriculum learning compared with the models where samples were given in random order. After various methods have been tried for determining the difficulty ratings of the samples, this study showed that ensemble learning-based approach is more successful.
Ataluren for the Treatment of Usher Syndrome 2A Caused by Nonsense Mutations

The identification of genetic defects that underlie inherited retinal diseases (IRDs) paves the way for the development of therapeutic strategies. Nonsense mutations caused approximately 12% of all IRD cases, resulting in a premature termination codon (PTC). Therefore, an approach that targets nonsense mutations could be a promising pharmacogenetic strategy for the treatment of IRDs. Small molecules (translational read-through inducing drugs; TRIDs) have the potential to mediate the read-through of nonsense mutations by inducing expression of the full-length protein. We provide novel data on the read-through efficacy of Ataluren on a nonsense mutation in the Usher syndrome gene USH2A that causes deaf-blindness in humans. We demonstrate Ataluren´s efficacy in both transiently USH2AG3142*-transfected HEK293T cells and patient-derived fibroblasts by restoring USH2A protein expression. Furthermore, we observed enhanced ciliogenesis in patient-derived fibroblasts after treatment with TRIDs, thereby restoring a phenotype that is similar to that found in healthy donors. In light of recent findings, we validated Ataluren´s efficacy to induce read-through on a nonsense mutation in USH2A-related IRD. In line with published data, our findings support the use of patient-derived fibroblasts as a platform for the validation of preclinical therapies. The excellent biocompatibility combined with sustained read-through efficacy makes Ataluren an ideal TRID for treating nonsense mutations based IRDs.
Mitigation as a Service in a Cooperative Network Defense

Das ständig wachsende Internet umfasst eine Vielzahl an verbundenen Geräten, die entweder selbst Opfer eines Distributed Denial of Service (DDoS) Angriffs im grossen Stil werden oder direkt Teil der Angriffswelle sind. Die Abwehr solcher Attacken erfordert die Zusammenarbeit verschiedener autonomer Systeme um eine schnelle Abwehr der Attacke direkt an der Quelle zu ermöglichen. Diese Zusammenarbeit hilft, Bandbreite und Computerressourcen jedes einzelnen Internetbenutzers und speziell der Opfer dieser Angriffe zu schützen [48]. Diese Masterarbeit beschreibt im Detail das Design und die Implementation eines modularisierten, Netzwerk-agnostischen und kooperativen DDoS Abwehrsystems, bestehend aus mehreren dezentralisierten Instanzen, die in Zusammenarbeit Attacken gegen jedes Mitglied dieser Kooperative abwehren. Der neuartige Aspekt dieses Abwehrsystems, das mehrere Domänen überspannt, ist die Verwendung der Ethereum Blockchain zur Signalübertragung, um alle Mitglieder der Kooperative über laufende Angriffe zu informieren. Die Implementation ist ein Re-Engineering des Proof of Concept Blockchain Signaling Systems (BloSS) entwickelt von Rodrigues et al. [46] mit dem Ziel, eine flexiblere Plattform zu entwickeln, die als Fundament für zukünftige Forschungsarbeiten in Richtung eines vollautomatisierten Mitigation-as-a-Service (MaaS) Systems dienen soll. Zusammen mit dem Re-Engineering des BloSS werden Ansätze für eine Proof-of-Mitigation Lösung präsentiert, mit dem Ziel, ein zahlungsbasiertes Anreizsystem zu ermöglichen, welches in das MaaS System integriert werden kann. Die gesamte Entwicklung wird auf einem Demonstrationssystem basierend auf Einplatinenrechnern und Software-Defined Networking (SDN) Hardware ausgewertet. Als Resultat dieser Auswertungen wird die kurze Reaktionszeit zur kollaborativen Abwehr einer DDoS Attacke aufgezeigt, sowie die ressourcenschonende Implementation des Verschlüsselungssystems beleuchtet, welches die Vertraulichkeit und Richtigkeit der Attackinformationen in der Blockchain gewährleistet.
Flow Histogram-based Recurrent Neural Network for Visual Odometry Estimation

Developing driving assistance or autonomous driving systems requires to understand the vehicle position and motion. To classify the vehicle movement categories from on-board camera images, convolutional recurrent neural network (C-RNN) has been developed. However, it is difficult to estimate odometry precisely. In this paper, we propose a visual odometry estimation method by extending C-RNN framework. The proposed method utilizes histograms of optical flow values to achieve robust odometry estimation for noise of estimated optical flow or difference of scenes. Our experimental results show that the proposed method can estimate odometry.
Coordination and competition in a duopoly with two-manufacturer and two-retailer with wholesale-price contract and demand uncertainty

This study analyzes a supply chain involving two competing manufacturers that sell their products through two common competing retailers. The manufacturers’ products are the same, yet come out with different brands in the market. The retailers face stochastic demand where demand is the decreasing function of price with an additive uncertain part. Manufacturers compete on supplying orders where retailers compete on selling price. Each manufacturer sets a wholesale price contract with retailers similarly. In this study, the supply chain coordination with the wholesale price contract under competition and demand uncertainty is examined. The analytical results show that, under coordinated conditions, manufacturers do not obtain any positive profit and, consequently, the retailers intend to increase wholesale prices. On the other hand, manufacturers can increase wholesale prices until the retailers’ profit becomes zero. Hence, with a numerical study for actual cases, it is found that changing demand sensitivity and competition intensity affects the optimal ordering and pricing decisions. Moreover, increasing competition sensitivity increases supply chains’ efficiency, stocking level, and selling price. The concluding remarks show that further investigations are required for exploring the possibility of coordination under competition by other contractual mechanisms.
Preliminary data on the ecology of Podarcis filfolensis of Lampione Islet (Pelagian Islands, Channel of Sicily, Italy)

1 Associazione “Nesos”, Via Vittorio Emanuele 24, 98055 Lipari, Messina (Italy); e-mail: plocascio@nesos.org 2 Environmental Studies “Demetra s.r. l. ” (E.N.I. Env. Dept.), Via Olona 7, I-00198 Roma (Italy); e-mail: lucamlu@tin.it 3 Dipartimento di Biologia Animale e Genetica, Università degli Studi di Firenze, Via Romana 17, 50125 Firenze (Italy); e-mail: claudia.corti@unifi.it 4 California Academy of Sciences, 875 Howard Street, San Francisco, CA 94103-3009 (U.S.A.)
Rak piersi – znaczenie profilaktyki pierwotnej i wtórnej

Rak piersi jest najczęściej występującym nowotworem złośliwym wśród kobiet w Polsce. Rocznie z jego powodu umiera w naszym kraju ok. 5000 kobiet. Rak piersi jest drugą – po raku płuc – przyczyną zgonów Polek z powodów onkologicznych. W roku 2009 zanotowano w Polsce 15 752 zachorowań na raka piersi, natomiast z powodu tego nowotworu zmarły 5242 kobiety [1]. Również w skali świata rak piersi jest uznawany za najbardziej rozpowszechniony z nowotworów – podawane są dane, wg których aż 34% kobiet żyjących z nowotworem choruje właśnie na raka piersi [2–4]. W Polsce dane z 2009 r. wskazują, że 23% kobiet chorujących na nowotwór w naszym kraju leczyło się z powodu raka piersi [1]. Problem dotyczy głównie kobiet mieszkających w krajach o wysokim stopniu rozwoju ekonomicznego. Według danych epidemiologicznych, w krajach rozwijających się w roku 2010 rak piersi był przyczyną zgonu 68 000 kobiet w wieku 15–49 lat, podczas gdy w krajach rozwiniętych 26 000 [5]. Amerykański National Cancer Institute na podstawie badań epidemiologicznych ocenia, że ryzyko rozwoju nowotworu piersi w życiu kobiety wynosi ok. 12%. Wzrasta ono przede wszystkim wraz z wiekiem kobiety. Szacowane ryzyko rozwoju w ciągu 10 lat u kobiet w wieku 40 lat wynosi 1 na 69 kobiet, w grupie kobiet 50-letnich – 1 na 42 kobiety, 1 na 29 w wieku 60 lat [6]. Ostatnio u młodych kobiet obserwuje się wzrost zachorowalności przy malejącej umieralności z powodu raka piersi. U kobiet w wieku średnim wciąż obserwuje się wzrost zachorowalności przy względnie stałych współczynnikach umieralności. To właśnie z tej ostatniej grupy wywodzi się największa liczba chorych, bowiem kobiety w wieku 50–59 lat stanowią aż 32% wszystkich pacjentek chorujących na raka piersi [1, 3, 4].
Adoption of Lambda-Expressions in Object-Oriented Programs does not necessarily decrease Source Code Size

Lambda-expressions are state-of-the-art in the functional programming paradigm, e.g. to easily handle functional behavior as a parameter or to temporarily implement a functionality, where it is actually needed. These benefits motivate the developers of object oriented programming languages to extend their language by Lambdaexpressions. When doing this, one out of several claims is that Lambda-expression are capable to decrease the source code size. Up to now, only little validation of this claim was conducted. Thus, within this paper, we analyze, whether this claim is valid or not. For this purpose, we investigated the adoption of Lambda-expression and their effect on the source code size based on 110 open source projects, written in one of the three commonly applied object oriented programming languages C#, C++ and Java. Our results, obtained so far, seem to contradict this common claim. Moreover, the results indicate the opposite: the addition of Lambda-expressions is correlated with a more increased source code size than usual. Thus, we conclude that Lambda-expression does not necessarily decrease source code size. Within this paper, we discuss potential reasons for this result, whereas a valid explanation is still an open research question.
1 P 1-A 24 An lnner Skeleton Robot forHuman Elbow Motion Assist

This Paper describes a prototype of 2 degree of freedom (DOF) inner skeleton robot (i.c., power assisted artificial joint) that is suppesed to assist the human elbow flexion-extension motion and forearm supination-pronation motion from inside the body. We have developed an actuator and introduce a T-mechanism for the proposed system. The proposed system is controlled based on the activation patterris of the muscles electromyogram signals and a sophisticated fuzzy-neuro control mcthod has been used. The proposed system is supposed to be implanted insidc the human body and can bc expected to be actuuted anificial joint for future generation. The effectiveness ofthe proposed system has evaluated by experiment.
Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles

Modelling and design of real-time energy management systems for optimising the operating costs of a fuel cell/battery electric vehicle are presented in this paper. The proposed energy management system consists of optimally sharing the propulsion power demand between the fuel cell and battery by enabling them to support each other for operating cost minimisation. The optimisation is achieved through real-time minimisation of a cost function, which accounts for fuel cell and battery degradation, hydrogen consumption and charge sustaining costs. A detailed analysis of each term of the overall cost function is performed and presented, which enables the development of a real-time, advanced energy management system for improving a previously presented simplified version using more accurate modelling and by considering cost function minimisation over a given time horizon. The performance of the proposed advanced energy management system are verified through numerical simulations over different driving cycles; particularly, simulations were performed in MATLAB-Simulink by considering a hysteresis-based energy management system and both simplified and advanced versions of the proposed energy management system for comparison.