bluuebunny/crossref_metadata_2025_split huggingface dataset:
Short‐term neurophysiological effects of sensory pathway neurorehabilitation strategies on chronic poststroke oropharyngeal dysphagia
Authors: Cabib Christopher , Nascimento Weslania , Rofes Laia , Arreola Viridiana , Tomsen Noemí , Mundet Lluis , Palomeras Ernest , Michou Emilia , Clavé Pere , Ortega Omar 
Published: May 2020

AbstractBackgroundNeurorehabilitation strategies for chronic poststroke (PS) oropharyngeal dysphagia (OD) have been mainly focused on the neurostimulation of the pharyngeal motor cortex with only marginal effects. In contrast, treatments targeting the PS oropharyngeal sensory pathway dysfunction offer very promising results, but there is little knowledge on the underlying mechanisms. We aimed to explore the neurophysiological mechanisms behind the effect of three sensory neurostimulation strategies.MethodsWe carried out a randomized two‐blinded parallel group's crossover sham‐controlled clinical trial in 36 patients with unilateral stroke and chronic unsafe swallow to investigate the effect of repetitive transcranial magnetic stimulation (rTMS) of the primary sensory cortex (A), oral capsaicin (B) and intra‐pharyngeal electrical stimulation (IPES; C). The effect was evaluated immediately after the interventions with videofluoroscopy (VFS) and motor/sensory evoked potentials (MEP/SEP).Key ResultsInterventions induced no changes in the biomechanics of the swallow response during VFS. However, an enhancement of motor cortex excitability (latency shortening and increased size of thenar MEP) was found with active interventions (A + B + C, and B/C alone; P < .05 for all) but not with sham. Active but not sham interventions shortened pharyngeal SEP latency in the ipsilesional hemisphere (A + B + C: P2‐peak, P = .039; A: N2‐peak, P = .034) and antagonized the physiological habituation in pharyngeal MEP (A + B + C and A alone, P < .05 for both).Conclusions and InferencesSensory pathway neurostimulation strategies caused immediate enhancement of motor cortex excitability with peripheral strategies (capsaicin and IPES) and of pharyngeal sensory conduction with rTMS. These changes support the use of sensory neurorehabilitation strategies in promoting swallow recovery in chronic PS‐OD.
Trained immunity and perspectives for shrimp aquaculture
Authors: Roy Suvra , Bossier Peter , Norouzitallab Parisa , Vanrompay Daisy 
Published: May 2020

AbstractThe global production of cultured crustaceans for 2018 is predicted to be ~8.63 million tonnes, and shrimp represents a significant portion of cultured crustaceans. Demands for shrimp are raising, also in developing countries as consumer preferences have evolved with rising incomes. Shrimp is mainly produced for consumption but during processing economically valuable products are being generated such as chitosan, which is used in cosmetics, food and beverages, agrochemicals and pharmaceuticals. However, the potential and sustainability of shrimp aquaculture production currently suffer from high mortality rates, losses due to especially bacterial and viral infections, and hence suboptimal yields. Vibrio parahaemolyticus acute hepatopancreatic necrosis and white spot syndrome virus (WSSV) disease outbreaks are examples of economically devastating disease outbreaks in shrimp. There is a need for prophylaxis of infectious diseases and for finding novel strategies for conditioning economically important shrimp broods so that they can produce more robust progenies and develop tolerance against biotic (pathogens) and abiotic stressors. Training the innate immune system of shrimp could be a possible avenue for improving animal’s health, and it might serve as potential unique strategy for conditioning the brood stock to have more robust progenies. The current review provides an overview on innate immune responses in shrimp after exposure to bacteria, viruses and abiotic stressors and on the possibilities to train the innate immune system of shrimp in order to improve health, not only of the animal itself but also of its progeny.
Mutations in TRIM63 cause an autosomal-recessive form of hypertrophic cardiomyopathy
Authors: Salazar-Mendiguchía Joel , Ochoa Juan Pablo , Palomino-Doza Julian , Domínguez Fernando , Díez-López Carles , Akhtar Mohammed , Ramiro-León Soraya , Clemente María M , Pérez-Cejas Antonia , Robledo María , Gómez-Díaz Iria , Peña-Peña María Luisa , Climent Vicente , Salmerón-Martínez Francisco , Hernández Celestino , García-Granja Pablo E , Mogollón M Victoria , Cárdenas-Reyes Ivonne , Cicerchia Marcos , García-Giustiniani Diego , Lamounier Jr. Arsonval , Gil-Fournier Belén , Díaz-Flores Felícitas , Salguero Rafael , Santomé Luis , Syrris Petros , Olivé Montse , García-Pavía Pablo , Ortiz-Genga Martín , Elliott Perry M. , Monserrat Lorenzo ,   on behalf of GENESCOPIC Research Group
Published: May 2020

ObjectiveUp to 50% of patients with hypertrophic cardiomyopathy (HCM) show no disease-causing variants in genetic studies. TRIM63 has been suggested as a candidate gene for the development of cardiomyopathies, although evidence for a causative role in HCM is limited. We sought to investigate the relationship between rare variants in TRIM63 and the development of HCM.MethodsTRIM63 was sequenced by next generation sequencing in 4867 index cases with a clinical diagnosis of HCM and in 3628 probands with other cardiomyopathies. Additionally, 3136 index cases with familial cardiovascular diseases other than cardiomyopathy (mainly channelopathies and aortic diseases) were used as controls.ResultsSixteen index cases with rare homozygous or compound heterozygous variants in TRIM63 (15 HCM and one restrictive cardiomyopathy) were included. No homozygous or compound heterozygous were identified in the control population. Familial evaluation showed that only homozygous and compound heterozygous had signs of disease, whereas all heterozygous family members were healthy. The mean age at diagnosis was 35 years (range 15–69). Fifty per cent of patients had concentric left ventricular hypertrophy (LVH) and 45% were asymptomatic at the moment of the first examination. Significant degrees of late gadolinium enhancement were detected in 80% of affected individuals, and 20% of patients had left ventricular (LV) systolic dysfunction. Fifty per cent had non-sustained ventricular tachycardia. Twenty per cent of patients suffered an adverse cerebrovascular event (20%).ConclusionTRIM63 appears to be an uncommon cause of HCM inherited in an autosomal-recessive manner and associated with concentric LVH and a high rate of LV dysfunction.
Temporary lysine restriction in newly weaned pigs does not affect carcass and loin quality at slaughter
Authors: Totafurno Adam D. , Huber Lee-Anne , Mansilla Wilfredo D. , de Lange Cornelis F.M. , Mandell Ira B. 
Published: May 2020

Two hundred and forty weaned pigs [initial body weight (BW) 7.2 ± 0.07 kg] were allocated to three diets (eight pens per treatment, 10 pigs per pen) to determine the effects of a temporary lysine (Lys) restriction on subsequent growth, body composition, as well as carcass and loin quality at slaughter. For a 3 wk restriction period, pigs were fed diets that were 110% (control), 20% (Lys20), or 40% (Lys40) below estimated Lys requirements. Thereafter, all pigs were fed a common grower diet containing 120% of the estimated Lys requirement for 6 wk (recovery period) and commercial diets until slaughter at ∼125 kg BW. During the restriction period, average daily gain, gain-to-feed ratio, and whole body protein deposition decreased (linear; P < 0.01), while whole body lipid deposition increased (linear; P < 0.001) with decreased dietary Lys concentrations. At the end of the recovery period, there were no differences in BW, although whole body protein concentration tended to decrease and lipid concentration tended to increase (linear; P = 0.07 and 0.06, respectively) with decreased dietary Lys concentrations. At ∼125 kg, there were no differences in BW, chemical composition, or carcass and loin quality. Compensatory growth was achieved by ∼125 kg BW after a 3 wk Lys restriction for newly weaned pigs without negatively impacting carcass and loin quality.
Coupling effect and charge redistribution of cyclo[18]carbons and cyclocarbon oxides on NaCl surface
Authors: Liang Zefen , He Tianxiang , An Junpeng , Xue Hongtao , Tang Fuling , Fan Ding 
Published: May 2020

The electronic structure, energy barrier and charge redistribution of cyclo[18]carbon and cyclocarbon oxides [Formula: see text], [Formula: see text], [Formula: see text] on NaCl(001) surface were computationally studied by using MOPAC. The HOMO electronics are mainly distributed at the inner and outer circumferential half circle of the cyclo[18]carbon along triple C–C bonds. However, the LUMO electronics are distributed at above and below surfaces of the cyclo[18]carbon circle along single C–C bonds. The energy barrier is different along different direction. The energy barrier of cyclo[18]carbon on the NaCl surface is the smallest (0.23 eV/per atom). When the cyclo[18]carbon and cyclo[18]carbon oxides molecular are put on the NaCl surface, they show different amounts of positive charge, no longer neutral.
Anomaly Detection Based on RBM-LSTM Neural Network for CPS in Advanced Driver Assistance System
Authors: Wu Di , Zhu Hanlin , Zhu Yongxin , Chang Victor , He Cong , Hsu Ching-Hsien , Wang Hui , Feng Songlin , Tian Li , Huang Zunkai 
Published: May 2020

Advanced Driver Assistance System (ADAS) is a typical Cyber Physical System (CPS) application for human–computer interaction. In the process of vehicle driving, we use the information from CPS on ADAS to not only help us understand the driving condition of the car but also help us change the driving strategies to drive in a better and safer way. After getting the information, the driver can evaluate the feedback information of the vehicle, so as to enhance the ability to assist in driving of the ADAS system. This completes a complete human–computer interaction process. However, the data obtained during the interaction usually form a large dimension, and irrelevant features sometimes hide the occurrence of anomalies, which poses a significant challenge to us to better understand the driving states of the car.
To solve this problem, we propose an anomaly detection framework based on RBM-LSTM. In this hybrid framework, RBM is trained to extract general underlying features from data collected by CPS, and LSTM is trained from the features learned by RBM. This framework can effectively improve the prediction speed and present a good prediction accuracy to show vehicle driving condition. Besides, drivers are allowed to evaluate the prediction results, so as to improve the accuracy of prediction. Through the experimental results, we can find that the proposed framework not only simplifies the training of the entire neural network and increases the training speed but also greatly improves the accuracy of the interaction-driven data analysis. It is a valid method to analyze the data generated during the human interaction.
Adapting Recursive Sinusoidal Software Oscillators for Low-power Fixed-point Processors
Authors: Smeets Hugues , Ceriotti Matteo , Marrón Pedro José 
Published: May 2020

The growing field of the Internet of Things relies at the bottom on components with very scarce computing resources that currently do not allow complex processing of sensed data. Any computation involving Fast Fourier Transforms (FFT), Wavelet Transforms (WT), or simple sines and cosines is considered impractical on low-end devices due to the lack of floating point and math libraries. This article presents new techniques that make it possible to use these functions also on severely constrained target platforms.
Current literature abounds with schemes to compute sine and cosine functions, with focus on speed, hardware footprint, software size, target type, or precision. Even so, there is no practical exploration of the design space available for embedded devices with limited resources, in particular when only integer operations are possible. We select an efficient set of recursive sine and cosine generators and measure the frequency, amplitude, and phase error over a wide parameter range. We show that their simplicity allows them to be implemented on the most bare targets with good precision, reducing power consumption and size while being the fastest on integer-only processors. We also introduce specially tailored FFT and WT algorithms and show that they are usable in practice while having an extremely small code footprint, good precision, and high speed.
FIN
Authors: Luo Xiaofan , Wong Fukoeng , Hu Haifeng 
Published: May 2020

Multi-layer detection is a widely used method in the field of object detection. It extracts multiple feature maps with different resolutions from the backbone network to detect objects of different scales, which can effectively cope with the problem of object scale change in object detection. Although the multi-layer detection utilizes multiple detection layers to alleviate the burden of one single detection layer and can improve the detection accuracy to some extent, this method has two limitations. First, manually assigning anchor boxes of different sizes to different feature maps is too dependent on the human experience. Second, there is a semantic gap between each detection layer in multi-layer detection. The same detector needs to simultaneously process the detection layers with inconsistent semantic strength, which increases the optimization difficulty of the detector. In this article, we propose a feature integrated network (FIN) based on single layer detection to deal with the problems mentioned above. Different from the existing methods, we design a series of verification experiments based on the multi-layer detection model, which shows that the shallow high-resolution feature map has the potential to simultaneously and effectively detect objects of various scales. Considering that the semantic information of the shallow feature map is weak, we propose two modules to enhance the representation ability of the single detection layer. First, we propose a detection adaptation network (DANet) to extract powerful feature maps that are useful for object detection tasks. Second, we combine global context information and local detail information with a verified hourglass module (VHM) to generate a single feature map with high resolution and rich semantic information so that we can assign all anchor boxes to this detection layer. In our model, all the detection operations are concentrated on a high-resolution feature map whose semantic information and detailed information are enhanced as much as possible. Therefore, the proposed model can solve the problem of anchor assignment and inconsistent semantic strength between multiple detection layers mentioned above. A large number of experiments on the Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes (PASCAL VOC) and Microsoft Common Objects in Context (MS COCO) datasets show that our model has good detection performance for objects of various sizes. The proposed model can achieve<?brk?> 81.9 mAP when the size of the input image is 300 × 300.
A Hierarchical HVAC Control Scheme for Energy-aware Smart Building Automation
Authors: Jana Rajib Lochan , Dey Soumyajit , Dasgupta Pallab 
Published: May 2020

Heating ventilation and air conditioning (HVAC) systems usually account for the highest percentage of overall energy usage in large-sized smart building infrastructures. The performance of HVAC control systems for large buildings strongly depend on the outside environment, building architecture, and (thermal) zone usage pattern of the building. In large buildings, HVAC system with multiple air handling units (AHUs) is required to fulfill the cooling/heating requirements.
In the present work, we propose an energy-aware building resource allocation and economic model predictive control (eMPC) framework for multi-AHU-based HVAC system. The energy consumption of a multi-AHU-based HVAC system significantly depends on how long the AHUs are running, which again is governed by the zone usage demands. Our approach comprises a two-step hierarchical technique where we first minimize the running time of AHUs by suitably allocating building resources (thermal zones) to usage demands for zones. Next, we formulate a finite receding horizon control problem for trading off energy consumption against thermal comfort during HVAC operations. Given a high-level building specification and usage demand, our computer-aided design framework generates building thermal models, allocates usage demands, formulates the control scheme, and simulates it to generate power consumption statistics for the given building with usage demands. We believe that the proposed framework will help in early analysis during the design phase of energy-aware building architecture and HVAC control. The framework can also be useful from a building operator point of view for energy-aware HVAC control as well as for satisfying smart grid demand-response events by HVAC system peak power reduction through automated control actions.
An Artifact Evaluation of NDP
Authors: Zilberman Noa 
Published: May 2020

Artifact badging aims to rank the quality of submitted research artifacts and promote reproducibility. However, artifact badging may not indicate inherent design and evaluation limitations.
This work explores current limits in artifact badging using a performance-based evaluation of the NDP artifact. We evaluate the NDP artifact beyond the Reusable badge's level, investigating the effect of aspects such as packet size and random-number seed on throughput and flow completion time.
Our evaluation demonstrates that while the NDP artifact is reusable, it is not robust, and we identify architectural, implementation and evaluation limitations.
EMP2 Is a Novel Regulator of Stemness in Breast Cancer Cells
Authors: Dillard Christen , Kiyohara Meagan , Mah Vei , McDermott Sean P. , Bazzoun Dana , Tsui Jessica , Chan Ann M. , Haddad Ghassan , Pellegrini Matteo , Chang Yu-Ling , Elshimali Yahya , Wu Yanyuan , Vadgama Jaydutt V. , Kim Sara R. , Goodglick Lee , Law Samuel M. , Patel Deven D. , Dhawan Puneet , O'Brien Neil A. , Gordon Lynn K. , Braun Jonathan , Lazar Gary , Wicha Max S. , Wadehra Madhuri 
Published: May 2020

AbstractLittle is known about the role of epithelial membrane protein-2 (EMP2) in breast cancer development or progression. In this study, we tested the hypothesis that EMP2 may regulate the formation or self-renewal of breast cancer stem cells (BCSC) in the tumor microenvironment. In silico analysis of gene expression data demonstrated a correlation of EMP2 expression with known metastasis-related genes and markers of cancer stem cells (CSC) including aldehyde dehydrogenase (ALDH). In breast cancer cell lines, EMP2 overexpression increased and EMP2 knockdown decreased the proportion of stem-like cells as assessed by the expression of the CSC markers CD44+/CD24−, ALDH activity, or by tumor sphere formation. In vivo, upregulation of EMP2 promoted tumor growth, whereas knockdown reduced the ALDHhigh CSC population as well as retarded tumor growth. Mechanistically, EMP2 functionally regulated the response to hypoxia through the upregulation of HIF-1α, a transcription factor previously shown to regulate the self-renewal of ALDHhigh CSCs. Furthermore, in syngeneic mouse models and primary human tumor xenografts, mAbs directed against EMP2 effectively targeted CSCs, reducing the ALDH+ population and blocking their tumor-initiating capacity when implanted into secondary untreated mice. Collectively, our results show that EMP2 increases the proportion of tumor-initiating cells, providing a rationale for the continued development of EMP2-targeting agents.
Did genetic lineage divergence or spatial environmental variance lead to global subspecies differentiation of northern goshawk (Accipiter gentilis)?
Authors: Ho Un-Hyang , Song Sam-Rang 
Published: May 2020

Abstract
When a widely distributed species undergoes ecological or geological isolation, it tends to divide into subspecies. In general, subspecies differentiation is affected by environmental variance and genetic divergence. But the extent to which these two factors influence subspecies differentiation in species with different distribution ranges and modes of living, might be different. Despite having high breeding habitat fidelity, northern goshawk is a forest raptor that is widely dispersed. We investigated morphological traits in combination with the genetic background of northern goshawk individuals at a large global scale. We also collected genetic, palynological and climatic data to reveal what caused global subspecies differentiation in northern goshawk. Eurasian and North American subspecies populations are thought to have diverged approximately 660 000 years ago to undergo different evolutionary routes, which remarkably facilitated intercontinental subspecies differentiation through genetic lineage divergence. During the last glacial period (18 000 years ago) the different isolation levels of northern goshawk refugia on the continents caused genetic lineage divergences, which, however, are unlikely to have led to subspecies differentiation directly. Spatial environmental variance due to the wide distribution of northern goshawks made an important contribution to subspecies differentiation throughout continents.
Impaired social cognition in bipolar disorder: A meta-analysis of Theory of Mind in euthymic patients
Authors: de Siqueira Rotenberg Luisa , Beraldi Gabriel Henrique , Okawa Belizario Gabriel , Lafer Beny 
Published: May 2020

Objective: To conduct a meta-analysis of Theory of Mind studies exclusively in euthymic patients with bipolar disorder. Method: After the exclusion of studies evaluating symptomatic patients during acute episodes, we performed a meta-analysis including a total of 30 studies, comparing 1294 euthymic bipolar disorder patients and 1116 healthy controls. Results: Patients with bipolar disorder presented a significant impairment in Theory of Mind performance when compared to controls (Hedge’s g = −0.589, 95% confidence interval: −0.764 to −0.414, Z = −6.594, p < 0.001). When compared to controls, Theory of Mind was impaired in patients with both bipolar disorder I (Hedge’s g = −0.663, 95% confidence interval: −0.954 to −0.372, Z = −4.462, p < 0.001) and bipolar disorder II (Hedge’s g = −1.165, 95% confidence interval: −1.915 to −0.415, Z = −3.044, p = 0.002). Theory of Mind impairments were also significantly more severe in verbal tasks (Hedge’s g = −1.077, 95% confidence interval: −1.610 to −0.544, Z = −3.961 p < 0.001) than visual tasks (Hedge’s g =−0.614, 95% confidence interval: −0.844 to −0.384, Z = −5.231, p < 0.001) when compared to controls. Conclusion: The results obtained confirm that Theory of Mind is impaired in remitted bipolar disorder patients, being a potential endophenotype for bipolar disorder. Moreover, we found higher deficits in verbal Theory of Mind, compared with visual Theory of Mind. Since most studies were cross-sectional, there is a need for longitudinal studies to evaluate whether the deficits detected in Theory of Mind are progressive over the course of the illness.