Miracle-dz/UniFAR-FTUs huggingface dataset:
Movement Sciences: Transfer of Knowledge into Pediatric Therapy Practice.

Paediatric therapy practice must continually evolve as new evidence becomes available to guide clinicians working with children with disabilities. For many paediatric therapists, returning to the basics of motor control can prove most helpful in guiding clinical practice. Movement Sciences: Transfer of Knowledge into Pediatric Therapy Practice focuses on the translation of academic research pertaining to movement sciences into information that can be applied in paediatric therapy clinical practice. Written primarily by physical therapists who are both researchers and clinicians, the six chapters in this volume range from comprehensive literature reviews to original research studies. The chapters highlight theoretical models, measurement tools, and interventions relevant to paediatric occupational therapy and physical therapy practice. The authors have done a remarkable job of integrating their research findings into a clinically relevant format, with each chapter presenting conclusions regarding implications for clinical practice. The volume is structured in such a way that even though the content is drawn from separate research papers, the reader can also see the bigger picture. Some of the chapters are quite lengthy, and this may initially dissuade some busy clinicians. However, the practical focus of the chapters makes the book quite reader friendly and relevant to clinicians. For example, one of the chapters on service delivery, which is more theoretical in nature, includes a clinical case study to illustrate its concepts. Offering this content in both book and journal format also makes the materials more accessible to clinicians. (The content may look familiar to some readers, as it was co-published simultaneously as volume 24, numbers 1 and 2, of the journal Physical and Occupational Therapy in Pediatrics in 2004.) Movement Sciences contains chapters pertaining to areas such as postural control, predictors of standing balance, reliability of a measurement of muscle extensibility, activity-based intervention, enhancing prehension skills, and understanding changes in mobility in children with CP over time. For this reason, the book may offer relevant information to clinicians in many different areas of paediatric therapy. Readers may choose to read the book from cover to cover, to read one chapter related to their current practice, or to make use of the clinical implications included at the end of each chapter to get a quick summary or review of the authors’ salient points. Movement Sciences: Transfer of Knowledge into Pediatric Therapy Practice contains information relevant to most paediatric therapists, and it is hoped that review of the contents will encourage clinicians to reflect on their current practice and promote discussion as to which assessment tools and intervention strategies should be integrated into clinical practice. This book will also provide clinicians with examples of how their practice can contribute to further research in paediatric therapy.
The role of local scale and orientation in feature location using neural nets

The application of one pass orientation and scale selective filters to feature location is investigated. The particular case study developed deals with the location of eyes in head-and-shoulders images using artificial neural networks trained by back-error-propagation. Three types of filters were studied. Conventional Marr edge detectors, Gabor filters selective to the horizontal and vertical directions, and also edge detectors which extract high resolution information along each of the two directions using 2D separable wavelet filters. Tests were conducted to locate the centre of the pupil in the right eye in sixty head-and-shoulders images. The results are compared for the different filters, and also using the raw pixel image directly. <<ETX>>
Managing personal and work email in the same box: overcoming the tensions through new metaphors

We are all familiar with the seemingly endless task of sorting through emails to keep on top of received messages; ploughing through list and folder based file structures to find saved emails and file attachments. It can be an ongoing headache. In this paper we describe our approach to helping people manage their personal emails and their accompanying attachments using novel interface metaphors. An initial online survey was conducted on people’s email storage behaviour for both home and work contacts. The findings suggest there is a tension between how people currently manage the two and how they would like to do this. Following this we explore new ways of conceptualising storage and retrieval in terms of personcentric storage systems.
Adding a new perspective to distance (language) learning and teaching – the tutor's perspective

To respond to students' need for more speaking practice, the Open University's Centre for Modern Languages is currently investigating the benefits of using an Internet-based, real-time audio application in distance learning/teaching. During a four-month trial period, French and German students met at weekly intervals to use the target language and participated in role-plays or other pre-arranged learning tasks requiring collaborative interaction. This paper describes the FLUENT (Framework for Language Use in Environments Embedded in New Technology) project from the tutors' point of view, focusing on how learner autonomy and the tutor role were affected by the new learning environment.
Doctors Assistive System Using Augumented Reality For Critical Analysis

Surgeons are regularly on the lookout for technologies that will enhance their operating environment. They are often the early adopters of technologies that allow their field to offer a better surgical and patient experience.The continuing enhancement of the surgical environment in the digital age has led to a number of innovations being highlighted as potential disruptive technologies in the surgical workplace. Augmented reality (AR) are rapidly becoming increasingly available, accessible and importantly affordable, hence their application into healthcare to enhance the medical use of data is certain. Whether it relates to anatomy, intraoperative surgery, or post-operative rehabilitation, applications are already being investigated for their role in the surgeons. AR is the addition of artificial information to one or more of the senses that allows the user to perform tasks more efficiently.we propose a system in which important information forthe doctors are displayed on semitransparent glasses includedin an AR-headset and therefore are mixed with the real-worldview. Keywords— Human-centered computing—Human computer interaction (HCI)—Interaction paradigms— Mixed / augmented reality; Human-centered computing— Human computer interaction (HCI)
A Cognitive Approach to Student-Centered E-Learning

Like traditional classroom instruction, distance/electronic learning (e-Learning) derives from largely behaviorist computer-based instruction paradigms that tend to reflect passive training philosophies. Over the past thirty years, more flexible, student-centered classroom teaching methods have been advocated based on the concepts of “discovery” learning and “active” learning; student-centered approaches are likewise encouraged in the development of e-Learning applications. Nevertheless, many e-Learning applications that employ state-of-the art multimedia technology in which students interact with simulations, animations, video, and sounds still fail to meet their expected training potential. Implementation of multimedia-based training features may give the impression of engaging the student in more active forms of learning, but sophisticated use of multimedia features does not necessarily produce the desired effect. This paper briefly reviews some general guidelines for applying cognitive science principles to development of student-centered e-Learning applications and describes a cognitive approach to e-Learning development that is being undertaken for the US Army.
Optical Absorbance Study of Carbon Nanomaterials Synthesized from Used-cooking Oil via Liquid-phase Exfoliation Using a Kitchen Blender in n-Hexane Solution

Abstract. UV-Visual (UV-Vis) optical absorbance study in the synthesis of carbon nanomaterials produced from used-cooking oil via liquid-phase exfoliation (LE) using a kitchen blender which is dissolved in n-hexane solvent has been conducted. Here, the blending time duration and solution concentration are varied, i.e. (in hours) 1, 2, and 3, and (in milimol/mL) 0.2, 0.4, and 0.6, respectively. The solutions obtained from this study are characterized using UV-Vis spectrophotometer. The experiment is carried out by directly blending used-cooking oil and then dissolving it in n-hexane solvent. A solution of pure cooking oil in n-hexane is used as a reference solution for the UV-Vis spectrophotometer. For variation of blending time duration, the UV-Vis results show a blue shift from 269.5 nm to 235.5 nm as the blending time is increased from 1 to 3 hours and indicate the presence of graphene oxide (GO) material. A second absorbance peaks at around 349 nm to 351 nm correspond to the occurrence of carbon quantum dot (CQD) material. Moreover, for the variation of solution concentrations, a red shift from 311.5 nm to 350 nm occurs as the solution concentration is increased from 0.2 to 0.6 milimol/mL. The red shift point towards an exfoliation of used-cooking oil from GO into CQD materials. Keywords: graphene oxide, carbon quantum dot, UV-Vis spectroscopy, liquid-phase exfoliation, used-cooking oil, n-hexane.
Future Carbon Emission From Boreal and Permafrost Lakes Are Sensitive to Catchment Organic Carbon Loads

Carbon storage, processing, and transport in freshwater systems are important components of the global carbon cycle and sensitive to global change. However, in large‐scale modeling this part of the boundless carbon cycle is often lacking or represented in a very simplified way. A new process‐oriented lake biogeochemical model is used for investigating impacts of changes in atmospheric CO2 concentrations and organic carbon loading from the catchment on future greenhouse gas emissions from lakes across two boreal to subarctic regions (Northern Sweden and Alaska). Aquatic processes represented include carbon, oxygen, phytoplankton, and nutrient dynamics leading to CO2 and CH4 exchanges with the atmosphere. The model is running inside a macroscale hydrological model and may be easily implemented into a land surface scheme. Model evaluation demonstrates the validity in terms of average concentration of nutrients, algal biomass, and organic and inorganic carbon. Cumulative annual emissions of CH4 and CO2, as well as pathways of CH4 emissions, also compare well to observations. Model calculations imply that lake emissions of CH4 may increase by up to 45% under the Representative Concentration Pathway 8.5 scenario until 2100, and CO2 emissions may increase by up to 80% in Alaska. Increasing organic carbon loading to the lakes resulted in a linear response in CO2 and CH4 emissions across both regions, but increases in CO2 emissions from subarctic lakes in Sweden were lower than for southern boreal lakes, probably due to the higher importance of imported vegetation‐“generated” inorganic carbon for CO2 emission from subarctic lakes.
Proteus-SN user manual

PROTEUS-SN is a three-dimensional, highly scalable, high-fidelity neutron transport code developed at Argonne National Laboratory. The code is applicable to all spectrum reactor transport calculations, particularly those in which a high degree of fidelity is needed either to represent spatial detail or to resolve solution gradients. PROTEUS-SN solves the second order formulation of the transport equation using the continuous Galerkin finite element method in space, the discrete ordinates approximation in angle, and the multigroup approximation in energy. PROTEUS-SN’s parallel methodology permits the efficient decomposition of the problem by both space and angle, permitting large problems to run efficiently on hundreds of thousands of cores. PROTEUS-SN can also be used in serial or on smaller compute clusters (10’s to 100’s of cores) for smaller homogenized problems, although it is generally more computationally expensive than traditional homogenized methodology codes. PROTEUS-SN has been used to model partially homogenized systems, where regions of interest are represented explicitly and other regions are homogenized to reduce the problem size and required computational resources. PROTEUS-SN solves forward and adjoint eigenvalue problems and permits both neutron upscattering and downscattering. An adiabatic kinetics option has recently been included for performing simple time-dependent calculations in addition to standard steady statemore » calculations. PROTEUS-SN handles void and reflective boundary conditions. Multigroup cross sections can be generated externally using the MC2-3 fast reactor multigroup cross section generation code or internally using the cross section application programming interface (API) which can treat the subgroup or resonance table libraries. PROTEUS-SN is written in Fortran 90 and also includes C preprocessor definitions. The code links against the PETSc, METIS, HDF5, and MPICH libraries. It optionally links against the MOAB library and is a part of the SHARP multi-physics suite for coupled multi-physics analysis of nuclear reactors. This user manual describes how to set up a neutron transport simulation with the PROTEUS-SN code. A companion methodology manual describes the theory and algorithms within PROTEUS-SN. « less
A novel algorithm that finds multiple operating points of nonlinear circuits automatically

The use of continuation methods has been shown to be more effective than standard Newton-Raphson-based methods in finding the operating point(s) of circuits with convergence problems. In this paper a new algorithm that searches for multiple operating points automatically, with no user intervention required, is shown to be a direct extension of the use of a particular continuation method. This algorithm, which exploits the asymmetrical properties of nonlinear mappings that describe multistable circuits, has been implemented into a program which automatically finds multiple (in most cases, all) operating points of a circuit. A number of challenging examples are given.
A COMPREHENSIVE PERFORMANCE ANALYSIS OF MOBILE AD-HOC ROUTING PROTOCOLS UNDER HIGH DATA RATE TRAFFIC & HI-DEFINITION VIDEO CONFERENCING

The uses of wireless technologies, such as, mobile ad-hoc network (MANET) are increasing and it influences the development of new theories and structures for the communication. Wireless mobile communication consists of various nodes communicating with each other directly or through the relay nodes using multi-hope network system. There are many MANET routing protocols. These routing protocols are used to deal with dynamic communication. As mobile applications are increasing day by day, we need to analyze these routing protocols to handle more data load at high node density. It motivates the performance comparison of AODV, ZRP and OLSR protocols in mobile ad-hoc network. The comparison represents the more effective and reliable protocol for required mobile application. Using OPNET simulator software tool we can analyze these protocols performance on the basis of various matrices like End to End delay, Network load, ReTransmission attempts and Throughput. The results are given with graphical representation.
Antecedent factors of maternal identity among primiparous Thai teenage mothers

Purpose Maternal identity (MI) is the attainment of maternal role adaptation. Though the role of the motherhood is expected to be achieved, teenagers, who are still developing their personal identity, do not always clearly identify or align with their role of motherhood. The purpose of this paper is to determine the structural relationship among a set of variables, infant temperament (IT), strain (ST), social support (SS), self-esteem (SE) and balanced family functioning (BF) influencing MI and to test the model using the empirical data. Design/methodology/approach A cross-sectional survey was conducted among 353 primiparous Thai teenagers of infants aged 4–12 months. A self-administered questionnaire comprised six scales with Cronbach’s α coefficients ranging from 0.81 to 0.93. The structural equation modeling method was employed to test the validity of the model undertaken using Mplus Software. Findings The model fit the empirical data well (χ2/df=2.17, CFI=0.92, TLI=0.91, RMSEA=0.06, SRMR=0.05). The MI could explain 62 percent of the variance through its set of variables. Three antecedents, i.e. IT, ST and SS, had a direct effect while SE and BF had an indirect effect on MI. The IT had the highest total effect on the MI, while ST was a mediator among other study antecedences concerning the MI. Originality/value The model adequately fit the data among teenage mothers one-year postpartum. Promoting MI should strongly diminish strain and encourage positively perceived infant temperament, self-esteem, social support and balanced family functioning.
Hybrid orthogonal frequency division multiplexing (H-OFDM) for visible light communication

In this paper, we present a novel hybrid orthogonal frequency division multiplexing (H-OFDM) for visible light communication (VLC). H-OFDM uses a combination of DC-bias optical OFDM (DCO-OFDM) and asymmetrically clipped optical OFDM (ACO-OFDM) techniques. In this hybrid technique, the absolute value of bipolar DCOOFDM signal is used to carry amplitude information in the first block, while the ACO-OFDM signal is used to transmit the polarity information of the DCO-OFDM signal in the second block. This new technique does not need any DC bias and could achieve maximum 33.3% increase of data rate with 256-QAM in theory. Extensive simulations notice that H-OFDM results in almost 3 dB performance improvement with an additive white Gaussian noise. In addition, it saves up to 2 dB input electrical average power when negative clipper and power allocation are applied. Therefore, with no DC bias, data rate increment and power efficient, H-OFDM seems to be an attractive technique for VLC system using intensity modulated direct detection (IM/DD).
D-tdma data buses with CSMA/CD arbitration bus on wireless 3D IC

Because of the increase in cost for chip fabrication, designing a chip family in accordance with the application is becoming an expensive choice. Wireless 3D IC design offers flexibility to connect known-good-dies selected after chip fabrication. It can stack an arbitrary number of chips at low cost. In this paper, dynamic time division multiple access (D-TDMA) is used for vertical broadcast buses for high communication efficiency of interchip network. However, to implement simple D-TDMA based 3D IC, large area and energy overheads are needed for arbitration since another inductor is needed for sending just several bits as arbitration signal in addition to an inductor for the data transfer. We resolve this problem to employ a carrier sense multiple access with collision detection (CSMA/CD) for arbitration of D-TDMA vertical broadcast buses. Evaluation results show that the proposed bus architecture reduces the number of inductors by 73.6% compared to a simple counterpart which employs D-TDMA based 3D buses. The results also show that an application execution time increases only by 0.3% at most.
The Playbook™ Approach to Adaptive Automation

SIFT has pioneered a human-automation integration architecture, called Playbook™, based on a shared model of the tasks in the domain. This shared task model provides a means of human-automation communication about plans, goals, methods and resource usage—a process akin to referencing plays in a sports team's playbook. The Playbook enables human operators to interact with subordinate systems with the same flexibility as with well-trained human subordinates, thus allowing for adaptive automation. We describe this approach and its application in an ongoing project called Playbook-enhanced Variable Autonomy Control System™ (P-VACS).
Probabilistically Robust AC Optimal Power Flow

The increasing penetration of renewable energy resources, paired with the fact that load can vary significantly, introduce a high degree of uncertainty in the behavior of modern power grids. Given that classical dispatch solutions are “rigid,” their performance in such an uncertain environment is in general far from optimal. For this reason, in this paper, we consider ac optimal power flow (AC-OPF) problems in the presence of uncertain loads and (uncertain) renewable energy generators. The goal of the AC-OPF design is to guarantee that controllable generation is dispatched at minimum cost, while satisfying constraints on generation and transmission for almost all realizations of the uncertainty. We propose an approach based on a randomized technique recently developed, named scenario with certificates, which allows us to tackle the problem without the conservative parameterizations on the uncertainty used in currently available approaches. The proposed solution can exploit the usually available probabilistic description of the uncertainty and variability, and provides solutions with a priori probabilistic guarantees on the risk of violating the constraints on generation and transmission.
An integrated assessment of climate-affected long-term water availability and its impacts on energy security in the Ganges sub-basins

The Ganges basin provides essential water for drinking, irrigation, industrial use and power generation. Global climate change will affect the water availability in the basin and inevitably intensify the competition for water among major users, particularly from thermal power generation. Knowledge on the spatial distribution of water supply-demand gaps and the water stress for meeting the cooling water requirements is crucial for effective energy planning and water resource management. This article presents the outcomes from the India case study based on an integrated assessment of the water-energy nexus in the Ganges sub-basins focusing on water stress assessment for thermal power plants up to 2050 under climate change conditions. The results from the hydrological modelling show that the overall water availability in the four studied sub-basins, namely Chambal, Damodar, Gandak and Yamuna, will increase by 13%, 33%, 21% and 28%, respectively, in 2050 compared with the levels in 2010 under the greenhouse gas Representative Concentration Pathway (RCP) scenario 4.5. However, water availability will not be evenly distributed throughout the year and in some sub-basins water will be less available in the dry seasons. For example, Yamuna will have 25% less water in the dry season in the 2050s. Steady growth of water demand will cause serious water deficit in 30 out of 40 districts in Yamuna and 18 out of 33 districts in Gandak in 2050 under RCP 4.5. Consequently, 40% of the existing and planned thermal power plants in Damodar and almost all in Gandak and Yamuna will face high water risks in the future, endangering the energy security in India. Energy development planning and water resource management therefore need to take into account the water risks posed to future thermal power generation and consider the relocation of the planned installations from water-stressed areas (particularly Gandak) to alternative locations with water surplus (such as Chambal). It is also important to adopt less water-intensive power generation technologies and cooling systems for the planned and new installations. Ganges sub-basins, Integrated assessment, Water stress for thermal power generation, Water supply-demand gaps, Water-energy nexus