Miracle-dz/UniFAR-FTUs huggingface dataset:
Inclusion for Young Autistic Learners: Lessons from the Polish Experiences of Teachers

This paper presents new empirical data on the experiences of 120 teachers and professionals working with autistic children and young people across different settings in Poland where autism research on inclusive education is scarce. It uses a survey approach involving a combination of qualitative and quantitative data collection and embeds practical findings in theory, including the relationship of inclusive education to the social and neurodiversity models of disability. Polish teachers’ attitudes, experiences and support needs, including some previously overlooked issues are related to the broader international context beyond Poland. Analysis of the findings is used to derive evidence-based recommendations for good practice and modelling, and evaluating future education and inclusion practices. These recommendations include opportunities to exercise responsibilities and take leadership roles; social as well as educational inclusion; provision of a safe environment; regular funded autism training in work time; and appropriate use of additional classroom teachers.
LEAN Change drivers impact on employees ' atitude in the early stage of lean implementation : Case study

Problem – Lean allows companies becoming more efficient and, hence, more competitive in the rapidly changing business environment. However, high rate of failures is observed when implementing lean. For lean implementation, commitment among employees and leaders is vital. Meanwhile, commitment relies on attitudes formed at early stages of change process. Thus, it is important to be able to influence attitude formation and change early in the process. Even though there are numerous change drivers, their effect on attitudes is not clear neither in lean implementation nor in organizational change theories. Purpose – Explore the chosen change drivers’ effect on employees’ attitudes towards lean initiative during the early stage of lean implementation process. Research design/methodology – Inductively based approach was used for investigating the case of a small-parts trading company’s warehouse where lean implementation was at the early stage. Empirical data was collected through a mix of methods; observations, focus group session and questionnaires. Accepted change vision, Change related training and Change related participation were those applied and analysed change drivers. After the collected data was aligned with the theoretical model, it was analysed inductively. Conclusions – At the early stage of change various change drivers affect attitude in different ways, and it could have both negative and positive influence. Change related training seems to have greatest impact on the affective component of attitude, while change related participation showed more connection to the cognitive component. Accepted change vision will affect the behavioural component mostly. The first two change drivers were identified as supporting change vision to be accepted in the early stage of lean implementation process. Attitude towards change will be re-evaluated when new knowledge about the upcoming change is provided. On the whole, organizational context predetermines strength and valence of implemented change drivers. Practical implications – While implementing lean and using change drivers managers need to understand the existing organizational context. Only then they can optimize and allocate resources on the most efficient change drivers, which will bring up the most positive attitude. It is also needed to be aware of the concerns that change initiative may bring to employees minds to be able to eliminate them. Research limitations/implications – The findings need more investigation to be able to generalize them due to the limitations of a single case study as research strategy. Moreover, it is possible that the used change drivers could have affected the attitude in another way, if they were combined with others and were implemented by leaders themselves. More focus on the cross-influence processes between change drivers is needed to understand how different sets of change drivers could match different organizational contexts.
Real world outcomes and factors predicting survival and completion of Ra-223 in metastatic castrate re- sistant prostate cancer

Background and Purpose To analyse outcomes in metastatic castrate resistant prostate cancer (mCRPC) patients treated with Radium 223 (Ra-223) across the Yorkshire and Humber Cancer Network. Material and Methods A regional, multi-centre, retrospective cohort study of 189 men undergoing Ra-223 for mCRPC between March 2014 and April 2017 was undertaken. Factors predicting overall survival (OS) and completion of planned treatment were assessed. Results The median OS for the entire cohort was 10.5 months. Those completing 5-6 cycles of Ra-223 had higher OS of 18.6 months. On multivariable analysis, four factors remained independent significant predictors of OS: age (p=0.005 HR1.07 (1.02-1.12)), number of cycles of Ra-223; 5-6 vs. 1-4 (p=<0.001 HR 0.10 (0.005-0.20)), baseline alkaline phosphatase (ALP) (p=0.044 HR 1.06 (1.002-1.12)), and Neutrophilto-Lymphocyte Ratio (NLR)
THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT Research Survey on the Factors Influencing Instructors' Acceptance of Blackboard in Higher Education: A Case Study on King Abdulaziz University, Saudi Arabia

Learning management systems (LMSs) such as Blackboard have been employed widely in higher education institutions and they are emerging as a useful tool that support learning activities. However, instructor acceptance of LMSs such as Blackboard remains unclear. The aim of this study is to explore the factors that affect instructors' acceptance and use of LMS in the context of higher education. A conceptual model that integrated three well-known theories, namely technology acceptance model (TAM), DeLone and McLean's information system success model, and motivation theory, was developed. This empirical study was conducted using survey distributed to faculty members at King Abdulaziz University in Saudi Arabia. The data gathered from the samples (n=200) were tested using structural equation modeling. The research model provided a comprehensive understanding of the factors that significantly affect instructors' acceptance of Blackboard. The discussions and implications of the study are essential for researchers and decision makers.
Physicochemical characterization, carotenoid content and protein digestibility

Fruits and vegetable consumption are essential for feeding and has been expanding lately due to a health concern, intensifying the demand for foods that present practicality and high-quality nutritional and sensory value. Pumpkin (Cucurbita maxima) belongs to the Cucurbitaceae family, and it is widely grown all over the world. The fruit has significant participation in the diet of many countries. In addition to being used as a horticultural product, pumpkin also has medicinal use, having antihypertensive, bactericide, antidiabetics, anti-inflammatory, and antioxidant properties (Adams et al., 2011).
Moving Object Trajectory Based Intelligent Traffic Information Hub

Congestion is a major problem in most metropolitan areas and given the increasing rate of urbanization it is likely to be an even more serious problem in the rapidly expanding mega cities. One possible method to combat congestion is to provide intelligent traffic management systems that can in a timely manner inform drivers about current or predicted traffic congestions that are relevant to them on their journeys. The detection of traffic congestion and the determination of whom to send in advance notifications about the detected congestions is the objective of the present research. By adopting a grid based discretization of space, the proposed system extracts and maintains traffic flow statistics and mobility statistics from the grid based recent trajectories of moving objects, and captures periodical spatio-temporal changes in the traffic flows and movements by managing statistics for relevant temporal domain projections, i.e., hour-of-day and day-of-week. Then, the proposed system identifies a directional congestion as a cell and its immediate neighbor, where the speed and flow of the objects that have moved from the neighbor to the cell significantly deviates from the historical speed and flow statistics. Subsequently, based on one of two notification criteria, namely, Mobility Statistic Criterion (MSC) and Linear Movement Criterion (LMC), the system decides which objects are likely to be affected by the identified congestions and sends out notifications to the corresponding objects such that the number of false negative (missed) and false positive (unnecessary) notifications is minimized. The thesis discusses the design and DBMS-based implementation of the proposed system. Empirical evaluations on realistically simulated trajectory data assess the accuracy of the methods and test the scalability of the system for varying input sizes and parameter settings. The accuracy assessment results show that the MSC based system achieves an optimal performance with a true positive notification rate of 0.67 and a false positive notification rate of 0.05 when min prob equals to 0.35, which is superior to the performance of the LMC based system. The execution time ofand the space used by the system scales linearly with the input size (number of concurrently moving vehicles) and the methods mutually dependent parameters (grid resolution r and RT length l) that jointly define a spatio-temporal resolution. Within the area of a large
Role of Tumor Necrosis Factor and Interleukin 1 in 7-Interferon-promoted Activation of Mouse Tumoricidal Macrophages1

The purpose of this study was to determine if recombinant murine interleukin iÃŸ(rMii-II.-U) alone or in combination with recombinant murine 7-interferon (rMu-II V>) could activate murine macrophages to be tumoricidal against tumor necrosis factor (TNF)-insensitive target cells and to evaluate the possible role of interleukin 1 (IL-1) in murine macrophage activation by recombinant murine tumor necrosis factor (rMu-TNF) plus rMu-IFN-7. rMu-IL-1/3 and rMu-TNF alone or in combination could neither directly lyse the TNF-insensitive P815 mastocytoma nor activate resident peritoneal macrophages to be tumoricidal for this target. A synergistic induction of tumoricidal macrophage activity against P815 occurred, however, when either of these monokines was combined with rMu-IFN-7. The tumoricidal activity obtained was tran sitory, and the level of activity was dependent upon the monokine con centration and the length of induction period. Murine macrophages stimulated under the same conditions used to induce tumoricidal activity with rMu-TNF plus rMu-IFN-7 or with rMu-IL-1 plus rMu-IFN-7 were shown to produce low concentrations of IL-1 or TNF, respectively. Thus, a bidirectional cross-induction of the production of the two monokines occurred. The monokine production was also quite transitory, and the time of peak production of the monokines (12 h) was found to precede the time of peak tumoricidal activation (24 h). Using neutralizing antisera specific for rMu-IL-ls and rMu-TNF, the cross-induced production of TNF was shown to be required for macrophage tumoricidal activation by rMu-IL-1/8 alone (TNF-sensitive targets) or in combination with rMuIFN-7 (TNF-insensitive targets). There was no evidence, however, that the production of IL-1 was required for macrophage activation by rMuTNF in combination with rMu-IFN-7.
Cell death markers in cirrhotic patients with acute decompensation

The aims of this study were to determine the role of cell death in cirrhotic patients with acute decompensation (AD) and acute on chronic liver failure (ACLF) using plasma-based biomarkers. The patients studied were part of the CANONIC study (N=337; AD: 258; ACLF: 79); additional cohorts included healthy volunteers, stable cirrhotic patients and a group of 16 AD patients for histological studies. Caspase-cleaved keratin 18 (cK18) and keratin 18 (K18), which reflect apoptotic and total cell death respectively and cK18:K18 ratio (apoptotic index) were measured in the plasma by ELISA. The concentrations of cK18 and K18 increased and the cK18:K18 ratio decreased with increasing severity of AD and ACLF (p<0.001 respectively). Alcohol etiology, no previous decompensation and alcohol abuse were associated with increased cell death markers whereas underlying infection was not. Close correlation was observed between the cell death markers and, markers of systemic inflammation, hepatic failure, alanine amino transferase and bilirubin but not with markers of extra hepatic organ injury. TUNEL staining confirmed evidence of greater hepatic cell death in patients with ACLF as opposed to AD. Inclusion of cK18 and K18 improved the performance of the CLIF-C AD score in prediction of progression from AD to ACLF (p<0.05). Conclusion: Cell death, likely hepatic, is an important feature of AD and ACLF and its magnitude correlates with clinical severity. Non-apoptotic forms of cell death predominate with increasing severity of AD and ACLF. The data suggests that ACLF is a heterogeneous entity and shows that the importance of cell death in its pathophysiology is dependent on predisposing factors, precipitating illness, response to injury and the type of organ failure.
Transient responses of repeated impact of a beam against a stop

The transient behavior of a cantilever beam, driven by periodic force and repeated impacting against a rod-like stop, is the subject of this investigation. As impact and separation phase take place alternately, the transient waves induced either by impacts or by separations will travel in more complicated ways. Thus the transient responses of both the beam and the rod during repeated impact become an important issue. In both impact phase and separation phase, the transient wave propagations are solved by the expansion of transient wave functions in a series of Eigenfunctions (wave modes). From the solutions, the answer of impact force is derived directly, so that the divergence problem, encountered in solving impact force numerically by a strongly non-linear equation coupled the unknown impact force with motions, has been avoided. Numerical results show the convergence of the time-step size and truncation number of wave modes in the calculations of impact force by the present method. As the transient wave effect is considered, the numerical results can show several transient phenomena involving the propagation of transient impact-induced waves, sub-impact phases, long-term impact motion, chatter, sticking motion, synchronous impact, non-synchronous impact (including asynchronous impact) and impact loss. 2007 Elsevier Ltd. All rights reserved.
THE ROLE OF ACTIVIN A AND FOLLISTATIN IN THE DIFFERENTIATION BETWEEN VIABLE INTRAUTERINE PREGNANCY FROM MISSED MISCARRIAGE AND ECTOPIC PREGNANCY

Objective: The objective of the study was to investigate the role of activin A and follistatin (FS) in the differentiation between viable intrauterine pregnancy from missed miscarriage and ectopic pregnancy (EP). Study Design: This was a case–control study. Setting: This study was conducted at the Department of Obstetrics and Gynecology at Al-Yarmouk Teaching Hospital, from February 2017 to October 2017. Patients and Methods: The study included 90 pregnant women, aged from 21 to 40 years old in their the first trimester attending the outpatient and inpatient clinic with single fetal pregnancy with a gestational age range between 6 th and 8 th weeks, they were divided into three groups; Group A: Includes 30 cases with uncomplicated pregnancies in their first trimester, Group B: Includes 30 cases diagnosed as missed miscarriages, and Group C: Includes 30 cases diagnosed as EPs. Results: There was no significant difference in the maternal age and body mass index between the three groups, β-human chorionic gonadotropin, activin A, FS, and their ratio were significantly higher in the healthy intrauterine pregnancy compared to missed miscarriage and EP. Activin A and activin A/FS ratio had an excellent ability to discriminate EP from healthy intrauterine pregnancy, while FS alone had good ability to discriminate between EP and intrauterine pregnancy. Activin A had fair ability to discriminate missed miscarriage from intra healthy uterine pregnancy, while both FS and activin A/FS ratio had poor ability to differentiate missed miscarriage and intrauterine pregnancy. Conclusion: Activin A can be used with high accuracy as a biomarker for EP and missed miscarriage, FS alone, and activin A/FS ratio is a possible biomarker, but it offers lower accuracy compared to activin A alone.
INTENTION: ENTREPRENEURIAL EDUCATION AND CREATIVITY

Purpose of the study: This study examines the impact of creativity and entrepreneurship education on student entrepreneurial intentions at Jakarta State University. Methodology: This study, we applied quantitative research which conducting in two-phase First, we perform exploratory factor analysis test, and the second phase, we confirmatory factor analysis using AMOS version 18. Main Findings: This study carried out the findings that there is an impact on creativity on entrepreneurial education, lectures on individual creativity, entrepreneurial education on entrepreneurial intention, and creativity supported in the university on individual creativity. Furthermore, creativity supported not impact on entrepreneurial intention, and individual creativity has not to impact on entrepreneurial intention. Applications of this study: This research can be used by university leaders to increase students’ intention to become entrepreneurs through optimizing entrepreneurship education and creativity support from universities. Novelty/Originality of this study: In this study, we found that there was an influence of lecturer on creativity on entrepreneurship education. Previous researchers have never revealed this finding. Our research also found the impact of individual creativity on the intention of entrepreneurship. This finding has not been revealed in some previous studies.
Evidence Based Library and Information Practice

2010 Schmidt. This is an Open Access article distributed under the terms of the Creative CommonsAttribution-Noncommercial-Share Alike License 2.5 Canada (http://creativecommons.org/licenses/by-ncsa/2.5/ca/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly attributed, not used for commercial purposes, and, if transformed, the resulting work is redistributed under the same or similar license to this one.
Studies on large-scale evolution of magnetic reconnection using full particle simulations with adaptive mesh refinement technique

Magnetic reconnection is widely believed to play an important role in magnetospheric substorms and solar flares as a fast conversion process of the magnetic energy to plasma kinetic energy. However, it has been difficult to describe its large-scale dynamics by using kinetic simulations due to limited computer resources. The main unresolved issues in the reconnection processes include the onset mechanism, the reconnection rate in the steady state, and the energy transport mechanism. The difficulty in approaching such issues lies in the fact that macro-scale structures can be strongly affected by localized micro-scale processes, in which the kinetic treatment of plasma is required. In order to overcome this difficulty, we first develop a new 2-1/2 dimensional electromagnetic particle code that employs adaptive mesh refinement (AMR) technique and a particle splitting algorithm. The AMR technique subdivides and removes cells dynamically in accordance with a refinement criterion and enhances the spacial resolution locally. On the other hand, the particle splitting algorithm divides finite-size superparticles locating in fine cells, controling the number of particles per cell in order to suppress numerical noise arising when the number of particles per cell gets too small. We perform some test simulations and compare three runs without the AMR, with the AMR, and with both the AMR and the particle splitting. These results indicate not only that the AMR and particle splitting algorithms are successfully applied to the conventional particle codes, but also that they are quite effective to achieve high-resolution simulations on the evolution of the current sheet associated with magnetic reconnection. Thus the new code allows us to implement a large-scale kinetic simulation of magnetic reconnection. One of our goals by conducting large-scale simulations is to investigate a long time evolution of the diffusion region and to see what supports fast reconnection in a fully kinetic system. Our results show that fast reconnection is quickly achieved through the Hall effects but the system does not reach steady state and the reconnection rate decreases significantly. The key process responsible for slowing the reconnection processes is the extension of the electron diffusion region in association with the enhancement of the polarization electric field directing toward the neutral sheet in the electron inflow region. The polarization electric field is caused by the inertia difference between ions and electrons, and enhanced by the meandering motions of the background ions. The inflow electrons are forced by the polarization field to move toward the out-of-plane direction by the E ×B drift and enhances the out-of-plane current density in the electron inflow region. Since the current density is imposed uniformly along the upstream edge of the
EMBODIED INTERACTION: MULTIMODALITY, BODY AND COGNITION IN THE ANALYSIS OF CONVERSATIONS INVOLVING INDIVIDUALS WITH ALZHEIMER’S

■ ABSTRACT : This article aims to explore, theoretically and analytically, how we construct multimodal interaction spaces, i.e. how an action (verbal or non verbal) is constructed by virtue of an ecology of sign systems (GOODWIN, 2010) structurally different among themselves, but intrinsically related. For this end, we included some theoretical references in the field of Interaction Studies that understand social interaction and human cognition as embodied (embodied interaction, STREECK et al. , 2011). This discussion is based on the microanalysis of two excerpts from conversations involving Alzheimer’s patients. The data were extracted from the DALI (Alzheimer’s Disease, Language and Interaction) audiovisual corpus. Inspired by videoanalysis research (MONDADA, 2008; KNOBLAUCH et al., 2012), this paper explores the role of the body and gestures in the construction of an interaction space. The analytical focus is on the so-called minimal gestures present in the course of the interaction, and the moments when it is possible to detect a synchronicity between speech and gestures. As a potential contribution, the discussion promoted in this study aims to reflect on a multitude of cognitive resources which are or may be mobilized and analyzed in the construction of face-to-face interaction.