Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of Movement Intention for Operating Methods of Serious Games

In many post-stroke cases, patients show dysfunctions in movement, cognition, sense, and language, depending on the damaged area of the brain. Active and repetitive physical rehabilitation centered on the stroke-affected side is essential for effective and rapid neurological recovery of upper extremity dysfunction due to hemiplegia. A symmetric upper extremity trainer is utilized to assist the patient body, depending upon the degree of hemiplegia. In this study, we developed a novel balance handle as a symmetric upper extremity trainer capable of extension, flexion, pronation, and supination of the upper extremity. We collected the surface electromyogram (sEMG) signal data while the subjects were playing a serious game and recorded the electroencephalogram (EEG) signal data while the subjects were performing basic movements with the balance handle, to analyze the effectiveness of the device as an assistive tool for rehabilitation. The triceps brachii were activated during the extension movements, whereas the biceps brachii and deltoid muscles were activated during the flexion movements. With the balance handle, the peak event-related desynchronization (ERD) values were relatively lower while showing higher peak event-related synchronization (ERS) values compared to other types of operating methods, such as hand gripping and gamepad operation. Movement intention of tilting the balance handle for the α and β waves was clearly distinguished from the other tasks. These data demonstrated the potential of various applications using the developed proof-of-concept upper extremity trainer to bring out an excellent rehabilitative effect not only through muscle growth but also via identification of large movement intentions inducing brain activation exercise.
Likelihood-Based Metric for Gibbs Sampling Turbo MIMO Detection

SUMMARY In a multiple-input multiple-output (MIMO) system, maximum likelihood detection (MLD) is the best demodulation scheme if no a priori information is available. However, the complexity of MLD increases exponentially with the number of signal streams. Therefore, various de-modulation schemes with less complexity have been proposed and some of those schemes show performance close to that of MLD. One kind of those schemes uses a Gibbs sampling (GS) algorithm. GS MIMO detection that combines feedback from turbo decoding has been proposed. In this scheme, the accuracy of GS MIMO detection is improved by feeding back loglikelihood ratios (LLRs) from a turbo decoder. In this paper, GS MIMO detection using only feedback LLRs from a turbo decoder is proposed. Through extrinsic information transfer (EXIT) chart analysis, it is shown that the EXIT curves with and without metrics calculated from received signals overlap as the feedback LLR values increase. Therefore, the proposed scheme calculates the metrics from received signals only for the ﬁrst GS MIMO detection and the selection probabilities of GS MIMO detection in the following iterations are calculated based only on the LLRs from turbo decoders. Numerical results obtained through computer simulation show that the performance of proposed GS turbo MIMO detection is worse than that of conventional GS turbo MIMO detection when the number of GS iterations is small. However the performance improves as the number of GS iterations increases. When the number of GS iterations is 30 or more, the bit error rate (BER) performance of the proposed scheme is equivalent to that of the conventional scheme. Therefore, the proposed scheme can reduce the computational complexity of selection probability calculation in GS turbo MIMO detection.
An Experimental Study on the Fretting Corrosion Behaviours of Three Material Pairs at Modular Interfaces for Hip Joint Implants

The fretting corrosion behaviours of Al2O3 ceramic/Ti6Al4V alloy, 316 L stainless/Ti6Al4V alloy, and CoCrMo alloy/Ti6Al4V alloy pairs were studied in an in-house developed fretting-corrosion tester. The fretting behaviours were characterized by the Ft-D-N and Ft/Fn curves. The morphology of the worn surface was analyzed by energy dispersive X-ray spectrometry (EDX), a scanning electron microscope (SEM), and a white light interferometer (WLI). The fretting regimes were found to vary from slip regime (SR) to mixed fretting regime (MFR), with an increase in loads for the Al2O3/Ti6Al4V and 316 L/Ti6Al4V pairs, while for the CoCrMo/Ti6Al4V pair the fretting always remained in SR. The damage mechanism of the Al2O3/Ti6Al4V pair was mainly abrasive wear and corrosive wear, while for the 316 L/Ti6Al4V pair and CoCrMo/Ti6Al4V pair, the wear mechanism was mainly adhesive wear and corrosive wear with slight abrasive wear. The electrochemical impedance spectrum results show that the material transfer layer formed on the surface of the material can protect the material from corrosion for the 316 L/Ti6Al4V and CoCrMo/Ti6Al4V pairs.
Immobilization and nutrient uptake in ‘early isabella’ grapevines grafted on different rootstocks in organic management

O objetivo do trabalho foi avaliar a imobilizacao e extracao de macronutrientes em um vinhedo experimental de cultivo orgânico de videiras cv. Isabel Precoce na regiao Centro-Oeste do Parana. O delineamento experimental foi em blocos casualizados, com dois tratamentos (porta-enxertos: Paulsen ‘1103’ e ‘VR 043-43’), quatro repeticoes e tres plantas por parcela. Cinco anos apos o plantio, uma planta por parcela foi totalmente removida do solo, sendo que posteriormente as videiras foram subdivididas em tres partes: raiz, caule e ramos do ano. A partir das plantas remanescentes no campo, realizou-se a colheita dos cachos. Para as avaliacoes, as plantas e os cachos foram secos em estufa de ar forcado a 65°C. Posteriormente, determinou-se a massa seca e se realizaram analises do teor dos macronutrientes dos tecidos vegetais Pelos resultados obtidos, verificou-se que as quantidades de nutrientes imobilizadas e exportadas pela videira cv. Isabel Precoce com produtividade entre 9,9 e 16,6 t ha-1, em funcao do porta-enxerto foram para N, P, K, Ca, Mg, respectivamente de 64,9; 19,0; 156,9; 45,8 e 12,66 kg ha-1 quando enxertadas sobre o Paulsen ‘1103’ e de 112,8; 29,3; 260,8; 82,3 e 26,0 kg ha-1 quando enxertadas sobre o ‘VR 043-43’.
Lightweight CNNs-Based Interleaved Sparse Array Design of Phased-MIMO Radar

Conventional transmit subarray partitioning schemes of phased-MIMO radar will cause several problems, the reduction of array aperture, the increase of feeding network complexity and optimization algorithms time cost. Focus on the problems above, this paper proposes a deep learning-based interleaved sparse transmit subarray partitioning method. Firstly, the training data is generated by phased-MIMO array manifold matrix. Secondly, a dimensionality reduction method for radar data is introduced to reduce the dimensionality of the sample data while minimizing information loss. Then, a lightweight convolutional neural network is constructed for training and the optimal array structures is selected by classification. Finally, linear and plane arrays experiment results show that our proposed method can achieve 97.95% classification accuracy, better than other conventional dimensionality reduction methods and neural networks; compared with the traditional SCP partitioning method, our proposed method has similar beampattern sidelobe level and DOA estimation accuracy, but the time cost is greatly reduced.
Developing movement experiences with refugees to the United States who have undergone trauma

Purpose The purpose of this study is to investigate what resources recent refugees to the USA tap into and how collaborative expressive movements were experienced with regard to coping and resourcing, and to derive a theoretical model that would inform the use of dance/movement therapy and other holistic treatment modalities with refugees. Design/methodology/approach A total of 13 refugees overall participated in parts of this study. Ten of these refugees completed movement sessions and semi-structured in-person interviews. Constructivist grounded theory methods and descriptive statistics were used to analyze the data. Findings The findings suggest that refugees draw on a number of resources. The collaborative movement experiences seemed to have both a settling and mobilizing effect with the most important phenomenon of connection to the self or to another person. A grounded theory model, developed based on the findings, shows a dynamic interaction between the encountered categories. Research limitations/implications The findings are preliminary and not transferrable because of limited size and potential researcher bias. Practical implications The findings contribute to an understanding of the resettlement and acculturation phase of refugees with potential implications and suggestions for current clinical practices and health services. Originality/value This study was original in its focus on understanding the role and the potential of body and expressive movement among refugees who have experienced trauma. Adherence to transformative paradigm principles invited participants to become co-researchers.
Removal of humic acid from aqueous media using magnetite nanoparticles

Humic acid is one of the predominant organic substances in both surface and ground waters, creating an unpleasant taste and color in water. It is one of the most important precursors of disinfection by-products. Magnetite nanoparticles were synthesized through the chemical precipitation method. Removal of humic acid from aqueous solutions using magnetite nanoparticles was compared with commercial hematite nanoparticles by changing the effective parameters including pH, nanoparticle dosage, humic acid concentration, reaction time, and temperature. Moreover, the adsorption isotherms were evaluated using Langmuir and Freundlich models. The results showed that by increasing pH from 3 to 11, the efficiency of both nanoparticles decreased. The highest performance of nanoparticles was achieved at pH = 3, nanoparticles dosage of 0.25 g/L, and contact time of 90 min. The isotherm graphs and linear regression coefficient values indicated that adsorption using hematite and magnetite fits the Langmuir models. The kinetic study showed that the adsorption using both hematite and magnetite follows second-order-kinetics. Both synthesized magnetite and commercial hematite show good performance for the removal of humic acid.
Cation Dependent Carbonate Speciation and the Effect of Water

Carbon storage in geological formations relies on knowledge of the effect of carbonate ligand formation for both dissolution and mineralization to permit realistic reservoir modeling and to enhance confidence in storage security both spatially and temporally. Reaction rates are intrinsically slow and thus are not amenable to in situ study, often determined from high pressure batch reactions providing largely bulk structural information through product analysis. Here we present a methodology to prepare silicate mineral analogues by placing reactive cations (Na and Ca) on the surface of amorphous silica, greatly enhancing the rate of carbonate formation. Traditional characterization techniques provide thorough structural and morphological information related to the effects of doping. In situ Fourier transform infrared spectroscopy (FTIR) is used to follow carbonate formation upon exposure to CO2. Carbonate speciation is found to be cation dependent and sensitive to the presence of water. Speciation shows fu.
A Reconfigurable 1 × 4 Circularly Polarized Patch Array Antenna With Frequency, Radiation Pattern, and Polarization Agility

In this communication, the design and experimental verification of a reconfigurable $1 \times 4$ circularly polarized (CP) patch array antenna with frequency, radiation pattern, and polarization agility are reported. An orthohexagonal patch element antenna with three groups of parasitic patch and varactor diode is adopted to enable frequency and polarization reconfiguration. By properly adjusting the dc voltage applied on the three groups of varactor diode, the operating frequency can be tuned continuously, and the polarization can be switched simultaneously between left-handed CP (LHCP) and right-handed CP (RHCP). Four switchable feeding probes integrated with a designed single-pole four-throw (SPFT) switch are used to feed the element antenna for achieving different initial phase. Hence, by properly switching feeding probes for the four elements, the radiation beam of the array antenna can be dynamically reconfigured among five different beam states. To verify the proposed concept, a full functional prototype was fabricated and characterized for four different frequency bands with all polarization and beam states. A good agreement between the simulation and measurement is obtained, thus validating the multiple reconfigurable capability of the array antenna in frequency, pattern, and polarization.
Characterization of temporal electrical activity patterns for detection of critical isthmus regions of recurrent atypical atrial flutter

Identifying the critical isthmus region (CIR) of atrial re‐entry tachycardias (AT) is challenging. The Lumipoint® (LP) software, developed for the Rhythmia® mapping system, aims to facilitate the successful ablation of ATs by identifying the CIR.
High-Resolution Soil-Moisture Maps Over Landslide Regions in Northern California Grassland Derived From SAR Backscattering Coefficients

Slow-moving landslides are destabilized by accumulated precipitation and consequent soil moisture. Yet, the continuous high-resolution soil-moisture measurements needed to aid the understanding of landslide processes are generally absent in steep terrain. Here, we produce soil-moisture time-series maps for a seasonally active grassland landslide in the northern California coast ranges, USA, using backscattering coefficients from NASA's uninhabited aerial vehicle synthetic aperture radar at 6-m resolution. A physically based radar scattering model is used to retrieve the near-surface (5-cm depth) soil moisture for the landslide. Both forward modeling (backscattering estimation) and the retrieval (soil-moisture validation) show good agreement. The root-mean-square errors (RMSE) for vertical transmit vertical receive (VV) and horizontal transmit horizontal receive (HH) polarizations in forward model comparison are 1.93 dB and 1.88 dB, respectively. The soil-moisture retrieval shows unbiased RMSE of 0.054 m3/m3. Our successful retrieval benefits from the surface and double-bounce scattering, which is common in grasslands. The retrieved maps show saturated wetness conditions within the active landslide boundaries. We also performed sensitivity tests for incidence angle and found that the retrieval is weakly dependent on the angle, especially while using copolarized HH and VV together. Using the two copolarized inputs, the retrieval is also not sensitive to the change of orientation angles of grass cylinders. The physical model inversion presented here can be generally applied for soil-moisture retrieval in areas with the same vegetation cover types in California.
S-SMART++: A Low-Latency NoC Leveraging Speculative Bypass Requests

Many-core processors demand scalable, efficient and low latency NoCs. Bypass routers are an affordable solution to attain low latency in relatively simple topologies like the mesh. SMART improves on traditional bypass routers implementing multi-hop bypass which reduces the importance of the distance between pairs of nodes. Nevertheless, the conservative buffer reallocation policy of SMART requires a large number of Virtual Channels (VCs) to offer high performance, penalizing its implementation cost. Besides, SMART zero-load latency values highly depend on <inline-formula><tex-math notation="LaTeX">$HPC_{Max}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>H</mml:mi><mml:mi>P</mml:mi><mml:msub><mml:mi>C</mml:mi><mml:mrow><mml:mi>M</mml:mi><mml:mi>a</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math><inline-graphic xlink:href="perez-ieq1-3068615.gif"/></alternatives></inline-formula>, the maximum number of hops that can be jumped per cycle. In this article, we present Speculative-SMART++ (S-SMART++), with two mechanisms that significantly improve multi-hop bypass. First, zero-load latency is reduced by speculatively setting consecutive multi-hops. Second, the inefficient buffer reallocation policy of SMART is reduced by combining multi-packet buffers, <italic>Non-Empty Buffer Bypass</italic> and per-packet allocation. These proposals are evaluated using functional simulation, with synthetic and real loads, and synthesis tools. S-SMART++ does not need VCs to obtain the performance of SMART with 8 VCs, reducing notably logic resources and dynamic power. Additionally, S-SMART++ reduces the base-latency of SMART by at least 29.2 percent, even when using the biggest <inline-formula><tex-math notation="LaTeX">$HPC_{Max}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>H</mml:mi><mml:mi>P</mml:mi><mml:msub><mml:mi>C</mml:mi><mml:mrow><mml:mi>M</mml:mi><mml:mi>a</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math><inline-graphic xlink:href="perez-ieq2-3068615.gif"/></alternatives></inline-formula> possible.
Development and Validation of a New Measurement on Self-Contradiction

Developing a clear, consistent, and positive self-concept of oneself is an important development task during early adulthood. Yet as people encounter innumerable shifts and changes in life, so should their self-concept. Studies show that inconsistencies in self-concept would appear constantly during adulthood, but currently, no suitable scale for direct measurement of the consistencies of self-concept exist. The present scale developed and validated the Self-Contradiction Scale, which consisted of three dimensions, using two separate samples with a total of 1852 participants. Overall, the psychometric properties of the new scale are satisfactory.
Study on Human Fingers Perception over Textured Surfaces for the Textural Applications in Haptics Technology

Haptics technology uses skin as a source for feedback and helps in the perception of the stimulus. There are various types of actuators or displays used in haptics perception, like electro-tactile, vibrotactile, thermal coil and physical pins. These actuators require larger neural density for being used as an application. Hairy and Non-Hairy skin, its neural density pattern must be observed for perception memory applications. The textural applications in haptics technology are one of the kinds which use skin and its perception levels. The paper discusses the behaviour of fingertips and fingertip’s skin behaviour pattern towards textural applications in tactile feedback. The experiment in the paper uses psychophysical assumptions and single-blinded method of perception over six human participants under three environmental condition, and 10 stimuli which are used in everyday activity. The experimental result focuses on the perception time and perception memory of human fingertips, which will a comparative data with real-time haptic feedback. The experimental methods discussed in the paper addresses low-cost perception experiment for a preliminary study of haptics textural applications.
Antarctic krill Euphausia superba: spatial distribution, abundance, and management of fisheries in a changing climate

Antarctic krill Euphausia superba, a keystone species in the Southern Ocean, is highly relevant for studying effects of climate-related shifts on management systems. Krill provides a key link between primary producers and higher trophic levels and supports the largest regional fishery. Any major perturbation in the krill population would have severe ecological and economic ramifications. We review the literature to determine how climate change, in concert with other environmental changes, alters krill habitat, affects spatial distribution/abundance, and impacts fisheries management. Findings recently reported on the effects of climate change on krill distribution and abundance are inconsistent, however, raising questions regarding methods used to detect changes in density and biomass. One recent study reported a sharp decline in krill densities near their northern limit, accompanied by a poleward contraction in distribution in the Southwest Atlantic sector. Another recent study found no evidence of long-term decline in krill density or biomass and reported no evidence of a poleward shift in distribution. Moreover, with predicted decreases in phytoplankton production, vertical foraging migrations to the seabed may become more frequent, also impacting krill production and harvesting. Potentially cumulative impacts of climate change further compound the management challenge faced by CCAMLR, the organization responsible for conservation of Antarctic marine living resources: to detect changes in the abundance, distribution, and reproductive performance of krill and krill-dependent predator stocks and to respond to such change by adjusting its conservation measures. Based on CCAMLR reports and documents, we review the institutional framework, outline how climate change has been addressed within this organization, and examine the prospects for further advances toward ecosystem risk assessment and an adaptive management system.
Active Learning for Knowledge Graph Schema Expansion

Both entity typing and relation extraction from text corpora are widely used to identify the semantic types of an entity and a relation in a knowledge graph (KG). Most existing approaches rely on a pre-defined set of entity types and relation types in a KG. They thus cannot map entity mentions (relation mentions) to unseen entity types (relation types). To fundamentally overcome the limitations, we should add new semantic types of entities and relations to a KG schema. However, schema expansion traditionally requires manual conceptualization through a user’s observation on the text corpus while assuming the existence of suitable target KG schemas. In this work, we propose an Active learning framework for Knowledge graph Schema Expansion (AKSE), which can generate a new semantic type for KG schemas, without depending on a set of target schemas and human users’ observation. Specifically, a granularity based active learning algorithm determines whether a KG schema requires new semantic types or not. We also introduce a KG schema attention-based neural method which assigns semantic types to the entities and relationships extracted. To the best of our knowledge, our work is the first study to expand a KG schema with active learning.
Research on Text Classification Based on BERT-BiGRU Model

Text classification is a typical application of natural language processing. At present, the most commonly used text classification method is deep learning. Meanwhile there are many difficulties in natural language processing, such as metaphor expression, semantic diversity and grammatical specificity. To solve these problems, this paper proposes the structure of BERT-BiGRU model. First, use the BERT model instead of the traditional word2vec model to represent the word vector, the word representation is calculated according to the context information, and it can be adjusted according to the meaning of word while the context information is fused. Secondly BiGRU model is attached to the BERT model, BiGRU model can extract the text information features from both directions at the same time. Multiple sets of experiments were set up and compared with the model proposed in this paper, according to the final experimental results, using the proposed BERT-BiGRU model for text classification, the final accuracy, recall and F1 score were all above 0.9. It shows that BERT-BiGRU model has good performance in the Chinese text classification task.