Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Influence of the Electric Vehicle on Life Safety During the Wireless Charging Process

In recent years, the development of wireless charging Electric Vehicles (EV) is becoming more and more rapid, because the new energy supply mode----wireless power charging has the advantages of high space utilization, high security, more convenience, stronger user experience. The Influence of charging on life safety, as the research hotspot of EV's wireless charging, has attracted more and more attention and research at home and abroad. The electromagnetic safety evaluation in this article not only provides a theoretical foundation for the life safety analysis of EV's wireless charging, but also is conducive to the future application development. In this study, under the condition of transmission frequency and output power of 85 kHz and 11.4 kW respectively, the models of EV coil and adult body are simulated. The results of safety range and electromagnetic intensity in different positions are obtained and contrasted with International Commission for Non-Ionizing Radiation Protection (ICNIRP) standard. In order to confirm the reliability of the simulation results, we set up the experimental prototype about EV's wireless charging and do the electromagnetic exposure measurement. Finally the electromagnetic safety evaluation of EV charging system is carried out from the perspective of molecular biological experiments.
A Cyber-Physical Systems Oriented Platform Using Web Services

Cyber-Physical Systems (CPS) are obtained by integrating computation, networking, and physical processes. In many applications, within a CPS, mobile and wireless networks are used to realize the data transmission, conforming to the concept of Internet of Things (IoT). This facilitates interactions with several types of devices like sensors, RFID readers, mobile phones etc. Besides, Smartphones include important sensors as GPS, accelerometers, light sensors, phone camera etc. Based on such a foundation, different electronic services can be developed and provided for various types of clients. New research directions revealed the necessity to consider middleware architectures in CPS design. In this direction, Service Oriented Architectures (SOA) represents a paradigm that can be very efficient in designing specific layers of CPS. Web services are examples of SOA implementation, adequate for the requirements of the business environments. This paper presents a Cyber Physical Systems oriented e-business platform using Web services, which can be accessed through mobile and wireless networks, using Android OS Smartphones. A stock market exchange service was considered, as a relevant example of e-business. The time response of the SOAP and REST based Web service was evaluated, on LTE 4G and IEEE 802.11n channels, to determine which protocol is more efficient to increase the real time response capacity of the CPS oriented platform.
Adipose-derived stem cells in alveolar cleftmanagement : looking for a better scaffold

Background: Although various sources of bone graft material have been suggested in the literature for alveolar cleft reconstruction including Helmy Soliman Quitaibah Al-Kandari autogenous, allogenic, xenogenic, and alloplastic grafts, autogenous Hossam Ismail bone graft from either the iliac crest or the tibial plateau remains the Omar Shouman gold standard against which other sources are evaluated. However, the procedure is invasive and associated with a potential risk of early Ahmed Bahaa El-Din complications such as bleeding, pain, infection, fracture or late compliMohammed El Hadidy cations such as chronic pain, scarring, paresthesia, and gait abnormalities. Moreover, its failure rate is about 15%. In an effort to improve outcome and decrease donor site morbidity, we tried to find a better scaffold for adipose-derived stem cells (ACSs) as an alternative to autologous bone graft for alveolar cleft reconstruction. 1 Plastic Surgery Department, Mataria Teaching Hospital, GOTHI, Cairo, Egypt Aim of the study: To study the efficacy of demineralized bone matrix (DBM) versus autologous bone graft as a scaffold for adipose-derived 2 Ibn Sina Hospital, Ministry of Health, Kuwait, Kuwait stem cells (ASCs) and to compare both techniques to the standard autologous iliac crest bone graft (ICBG). 3 Plastic Surgery Department, Faculty of Medicine, Methods: 54 patients underwent alveolar cleft reconstruction at the age of mixed dentition over a 3-year period. Their mean age was Mansoura University, Mansoura, Egypt 11.4 years and their mean postoperative follow-up was 12.4 months. Of these, 18 constituted the ICBG group (standard group), 20 constituted the ACSs with ICBG scaffold (ASCs/ICBG) group, whereas the remaining 16 patients made up ACSs with DBM (ASCs/DBM) group. Results were assessed by rating the radiographs obtained 6 months postoperatively according to Bergland scale. Results: Alveolar cleft repairs using cancellous bone only (ICBG group) were 72.2 percent successful, alveolar cleft repairs using cancellous bone enhanced with ASCs (ASCs/ICBG group) were 90 percent successful, and alveolar cleft repairs using DBM enhanced with ASCs (ASCs/DBM group) were 62.5 percent successful. However, there was no statistical difference between the groups. A significantly shorter operative time (average time saving was 103 minutes/case) and higher infection rate (18.8 percent) were observed in ASCs/DBM group as compared to the other two groups. Conclusion: Although not being significantly better than DBM, ICBG appears to be a good scaffold for ASCs that improves results of alveolar cleft reconstruction.
Overexpression of CD 133 confers poor prognosis in colorectal cancer : a systematic review and meta-analysis

Objective: CD133 is considered a useful marker to identify the so-called cancer stem cells in colorectal cancers (CRCs) and its expression has been shown to have prognostic significance in CRC patients. However, previous research studies related to CD133 expression and CRC has inconsistent results. Thus, we comprehensively reviewed the observational studies on the role of CD133 expression in patie nts with CRC. Methods: A systematic literature search for relevant articles published from 2010 to 2015 was conducted in PUBMED and EMBASE digital databases. A random effects model was used to quantify effect sizes, subgroup analysis for identifying potential moderating variables and Egger’s test for publication bias. Results: A total of twenty-eight studies were included in this study. The results of the study demonstrated that CRC patients with high level of CD133 expression suffered the poor overall survival (RR = 0.72, 95% CI 0.58 to 0.86) and disease free survival (RR = 0.68, 95% CI 0.58 to 0.79). In subgroup analyses, different ethnicities, sample size, research technique and adjunctive therapy confirmed the stability of the relationships, patients with high level of CD133 expression got a significant poor prognosis. Besides, the survival benefit receiving adjuvant therapy appeared to be confined to those patients with low level of CD133 expression. Conclusions: Our results indicate that CD133 may have a potential predictive role of poor prognosis, and be a promising tool in the selection of adjuvant therapy for CRC patients. In consideration of the limitations and flaws of included studies, better designed RCTs are still in need to comprehensively evaluate the role of CD133.
MAP-based Brain Tissue Segmentation using Manifold Learning and Hierarchical Max-Flow regularization

This document describes the methodology used for the team KSOM GHMF. The Advanced Segmentation Tools (ASeTs) include a maximum a-posteriori (MAP) segmentation method [1] to combine information from multi-atlas labeling with an intensity model. The intensity models for 7 structures (background, white matter, cortical gray matter, corticospinal fluid, ventricles, basal ganglia and white matter lesions) are learned from a training database (NTraining = 5) via manifold learning and subsequently combined and regularized using generalized hierarchical max-flow framework. The source code to the proposed framework will be made publically available on http://sourceforge. net/projects/ASeTs/
GENETICS AND DEMOGRAPHY IN THE CONSERVATION OF BIODIVERSITY

Half of Thailand's remaining species of plants, animals and microorganisms are at risk of extinction in the next few decades. The role of genetic and demogrsphic considerations in determining the future ability of individual populations to survive and evolve arc described. Population viability analysis (PVA) points to the need to maintain as much innste genetic variability as possible. The concepts of a minimum viable population (MVP) end of the genetically effective population size (N.) arc described. The serious consequences of increased inbruding and th« loss of genetic vsnstion lollowing range fragmentation arc discussed. Genetics is also vety impottsnt in defining evolutionarily significant units {especisllv species) for management purpose. These considerations underscore the urgent need to complete the inventory of Thailand's biodiversity and to gacher the types of genetic and demogrsph»: data required to ensure its persistence. This will necessitste more sdentilicaily based intervention chan has bun required in the past. In edduion, further shifts in national natural resource policy towards sustsinsbility and th« enbencement of t:dUCiltionaf, training and research opponunities are Iorcseen.
Evolving artificial neural networks

Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and evolution with artificial neural networks (ANNs) in recent years. This paper: 1) reviews different combinations between ANNs and evolutionary algorithms (EAs), including using EAs to evolve ANN connection weights, architectures, learning rules, and input features; 2) discusses different search operators which have been used in various EAs; and 3) points out possible future research directions. It is shown, through a considerably large literature review, that combinations between ANNs and EAs can lead to significantly better intelligent systems than relying on ANNs or EAs alone.
Impaired beta-adrenoceptor-induced relaxation in small mesenteric arteries from DOCA-salt hypertensive rats is due to reduced KCa channel activity

-Adrenoceptor ( -AR)-mediated relaxation plays an important role in the regulation of vascular tone. -AR-mediated vascular relaxation is reduced in various disease states and aging. We hypothesized that -AR-mediated vasodilatation is impaired in DOCA-salt hypertension due to alterations in the cAMP pathway. -AR-mediated relaxation was determined in small mesenteric arteries from DOCA-salt hypertensive and control uninephrectomized (Uni) rats. To exclude nitric oxide (NO) and cyclooxygenase (COX) pathways, relaxation responses were determined in the presence of l-NNA and indomethacin, NO synthase inhibitor and COX inhibitors, respectively. Isoprenaline (ISO)-induced relaxation was reduced in arteries from DOCA-salt compared to Uni rats. Protein kinase A (PKA) inhibitors (H89 or Rp-cAMPS) or adenylyl cyclase inhibitor (SQ22536) did not abolish the difference in ISO-induced relaxation between the groups. Forskolin (adenylyl cyclase activator)-induced relaxation was similar between the groups. The inhibition of IKCa/SKCa channels (TRAM-34 plus UCL1684) or BKCa channels (iberiotoxin) reduced ISO-induced relaxation only in Uni rats and abolished the relaxation differences between the groups. The expression of SKCa channel was decreased in DOCA-salt arteries. The expression of BKCa channel subunit was increased whereas the expression of BKCa channel subunit was decreased in DOCA-salt arteries. The expression of receptor for activated C kinase 1 (RACK1), which is a binding protein for BKCa channel and negatively modulates its activity, was increased in DOCA-salt arteries. These results suggest that the impairment of -AR-mediated relaxation in DOCA-salt mesenteric arteries may be attributable to altered IKCa/SKCa and/or BKCa channels activities rather than cAMP/PKA pathway. Impaired -AR-stimulated BKCa channel activity may be due to the imbalance between its subunit expressions and RACK1 upregulation. © 2012 Elsevier Ltd. All rights reserved.
Parsing Events: a New Perspective on Old Challenges

English. The paper proposes a new evaluation exercise, meant to shed light on the syntax-semantics interface for the analysis of written Italian and resulting from the combination of the EVALITA 2014 dependency parsing and event extraction tasks. It aims at investigating the cross-fertilization of tasks, generating a new resource combining dependency and event annotations, and devising metrics able to evaluate the applicative impact of the achieved results. Italiano. L’articolo propone un innovativo esercizio di valutazione focalizzato sull’interfaccia sintassi-semantica per l’analisi dell’italiano scritto che combina i task di EVALITA 2014 su parsing a dipendenze ed estrazione di eventi. Il suo contributo consiste nell’approfondire la combinazione di task che spaziano tra diversi livelli di analisi, nello sviluppo di nuove risorse con annotazione a dipendenze e basata su eventi, e nella proposta di metriche che valutino l’impatto applicativo dei
Finding optimal models for gene networks

In recent years, the entire hereditary information of complex organisms like humans has become available. This information is organised in genes which are coded in the DNA and expressed by the processes of transcription and translation. By transcription, genes are replicated to RNA molecules. The major part of the RNA molecules is subsequently used as templates to form a number of protein molecules by translation. The RNA molecules and the proteins fulfill diverse functions within the cell, and the cooperation of these molecules is the fundament of life. Controlling transcription and translation of all genes allows cells to grow, to divide, and to adapt to changing environmental conditions. Since the control mechanisms are also fulfilled by RNA molecules and proteins, the expression and regulation of genes forms a cycle of genes regulating genes mutually. We call the entirety of these interactions the gene network. With the invention of new technologies such as DNA microarrays, it has become possible to measure the expression levels of most genes of a cell simultaneously. This has created a need for methods to extract information about gene networks from such data. Gaining such information would be a fruitful contribution to molecular biology, medicine, pharmacy, and other areas. Hence, the estimation of gene networks from gene expression measurements has become one focus of bioinformatics research. However, the problem of estimating gene networks is NP-hard and the search space is of super-exponential size. Applying a brute force approach in order to overcome these problems would be prohibitive even for gene networks of 9 genes. If instead heuristic search is applied, the accuracy of gene network estimations becomes uncertain. Therefore, optimal gene network models could so far not be obtained. Though a considerable amount of research work has been spent on the estimation of gene networks, there has been little work on the problem to evaluate the quality of these estimations in a principled way. Problems of such evaluations are, for example, the fragmentary knowledge about gene networks and the uncertainty about what part of a gene network is working under given experimental conditions. As a result, a firm proof of the significance of gene network estimations had not been done before. We have analysed the structure of the search space and developed an algorithm that finds the optimal solution within the super-exponential search space in exponential time. This approach is feasible for gene networks of 20 or more genes, depending on the modelling approach employed. Adding a biologically justified assumption, the optimal network can be found for gene networks of up to about 35 genes. Furthermore, since in real data gene expression patterns do not show significant differences in quite a few cases, many genes can be and should
Medical Word Embeddings for Spanish: Development and Evaluation

Word embeddings are representations of words in a dense vector space. Although they are not recent phenomena in Natural Language Processing (NLP), they have gained momentum after the recent developments of neural methods and Word2Vec. Regarding their applications in medical and clinical NLP, they are invaluable resources when training in-domain named entity recognition systems, classifiers or taggers, for instance. Thus, the development of tailored word embeddings for medical NLP is of great interest. However, we identified a gap in the literature which we aim to fill in this paper: the availability of embeddings for medical NLP in Spanish, as well as a standardized form of intrinsic evaluation. Since most work has been done for English, some established datasets for intrinsic evaluation are already available. In this paper, we show the steps we employed to adapt such datasets for the first time to Spanish, of particular relevance due to the considerable volume of EHRs in this language, as well as the creation of in-domain medical word embeddings for the Spanish using the state-of-the-art FastText model. We performed intrinsic evaluation with our adapted datasets, as well as extrinsic evaluation with a named entity recognition systems using a baseline embedding of general-domain. Both experiments proved that our embeddings are suitable for use in medical NLP in the Spanish language, and are more accurate than general-domain ones.
8 Cloud-controlling Factors Low Clouds

The way in which meteorological and aerosol factors conspire to determine the statistics and climatology of layers of shallow (boundary layer) clouds is reviewed, with an emphasis on factors that may be expected to change in a perturbed climate. The paramount role of theory is identifi ed, both in service of advancing our understanding, but also in modeling and attributing specifi c causes and effects. In particular, it is argued that limits to current understanding of meteorological controls on cloudiness make it diffi cult, and in many situations perhaps impossible, to attribute changes in cloudiness to aerosol perturbations. Suggestions for advancing our understanding of low cloudcontrolling processes are offered; these include renewing our focus on theory, model craftsmanship, and increasing the scope and breadth of observational efforts.
Distance-based clustering methods for large datasets

Este trabalho apresenta uma metodologia direcionada a problemas de agrupamentos com grandes volumes de dados. O objetivo ´e projetar algoritmos que tenham a capacidade de processar grandes volumes de dados sem a perda de qualidade do agrupamento. Dois novos m´etodos de agrupamento sao propostos. O primeiro ´e o m´etodo de agrupamento GPIC, que realiza tanto o c´alculo da matriz de afinidades quanto dos autovetores com o aux´lio de Unidades de Processamento Gr´afico GPUs, do ingles Graphics Processing Unit. O segundo m´etodo, denominado bdrFCM, reduz o volume de dados utilizando como princ´pio b´asico a borda dos agrupamentos resultantes. Resultados encontrados com bases de dados sint´eticas e reais demonstram que as abordagens propostas por este trabalho conseguem processar grande quantidade de dados em tempo menor e reduzir o volume de dados, mantendo a qualidade do agrupamento
New Stability Criteria for Event-Triggered Nonlinear Networked Control System with Time Delay

This note focuses on the stability and stabilization problem of nonlinear networked control system with time delay. To alleviate the burden of transformation channel and shorten the dynamic process simultaneously, an improved event-triggered scheme is proposed. This paper employs an improved time delay method to enhance the performance and reduce the delay upper bound conservatism. Less conservative stability criteria related to the order N are derived by establishing an augmented Lyapunov-Krasovskii functional manufactured for the use of Bessel-Legendre inequality. In addition, an event-triggered controller is designed for nonlinear networked control system with time delay. At last, numerical examples are proposed to verify the effectiveness of the new method.
Formative assessment in schools : From school board level to the classroom level

Introductory abstract This session focusses on the implementation of different approaches to formative assessment, at the school board level as well as school level. Effective use of formative assessment promotes student learning (Bennett, 2011; Van der Kleij et al., 2015), because teachers and students can use the information derived from assessments as a form of feedback to support learning (Bennett, 2011; Black & Wiliam, 1998). Teachers can adapt their instruction to the needs of the diverse learners based on this feedback, and students can use this feedback to direct their own learning process. The use of feedback can have a strong impact on student learning (e.g. Black & William, 1998; Hattie & Timperley, 2007). A distinction can be made between different approaches to formative assessment, such as data-based decision making and Assessment for Learning. This symposium focusses on these different approaches, both from a perspective of a school board (paper 1), as well as from the perspective of the implementation in schools in Belgium (paper 2), The Netherlands (paper 3), and the USA (paper 4). This proposal fits well with conference strand IV “Measuring and Evaluating School Change”, as it focusses on using measurement and evaluation results to improve education.
The PURSUIT Corpus: Documentation

This document describes the PURSUIT Corpus, which was collected at the Institute for Human and Machine Cognition in January and February 2008. It consists of 13 audio and GPS recordings of realtime route descriptions as they were driven in cars in the downtown Pensacola, Florida area. The audio signals have been transcribed and separated into utterances. Additionally, references to geospatial entities has been annotated in the corpus with the name, address, and latitude and longitude information for each referent. This corpus was created as part of a project for automated understanding of natural language path descriptions. The GPS recording of the actual path taken, along with the annotated geospatial references serve as a “ground truth” for understanding the path description. A set of statistics about the corpus is shown in Table 1. In the remainder of this document, we first describe the distribution and then how the corpus was collected. We then describe annotation (including transcription) and then conclude.
Teaching to the test

Die Integration von generativen KI-Systemen wie ChatGPT in den Bildungsbereich hat das Potenzial, die Art und Weise, wie wir lehren und lernen, grundlegend zu verändern. Obwohl diese Entwicklungen mit neuen Herausforderungen einherge-hen, bieten sie auch vielfältige Chancen für eine Neuausrichtung des Lehrens und Lernens. In diesem Vortrag werden daher sowohl die Vorteile als auch die möglichen Schwierigkeiten beim Einsatz von generativen KI-Systemen im Hochschulkontext diskutiert