bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid Animation: Implementation of Motion Capture
Authors: Hazry Asraf Syed Muhammad , Abdullasim Nazreen , Romli Rusnida 
Published: March 2020

Abstract
In the 21st century, much progress has been made following the industrial revolution 4.0. Therefore, the field of animation has also been injected into technological advances. The transmission of information is difficult to convey accurately and interactively to users. In providing users with more exposure and convenience in a more attractive and convenient way. Therefore, animation and motion capture are the best options for use today. As a result, the results of this project can have a huge impact on the animation industry in making video or animation more interesting.
A Proposal of Low Cost Home Automation System Using IoT and Voice Recognition
Authors: Ehkan Phaklen , Keraf Nui Din , Kelian Virakwan Hai , Zakaria Fazrul Faiz , Bei Sin Zhen 
Published: March 2020

Abstract
Home Automation System is becoming more popular day by day due to its numerous benefits. This project proposes an idea in the design of low cost home automation system by using the Internet of Things (IoT) and voice recognition. The layout of the home divided into four areas and each area has own function and system. The Raspberry Pi 3 (RPi) Model B+ used as the main controller for the processing and transmitting the input data. IoT provided huge storage for data collection from sensors and home appliances. An Android application is developed to monitor the home environment and remotely control the home devices by using the button or voice. The speaker-independent recognition system by using Google Voice to Text on Android embedded in this project for physically challenged people to control the electrical appliances without moving. All the data will be stored in Firebase and can be retrieved at any time by the application and the RPi board. There is a side view of a prototype model with two floors and divided into four home areas. This Low-Cost Home Automation System using IoT and Voice Recognition is successfully achieved the project’s objective.
Textile Bowtie Patch Antenna for Potential RF Energy Harvesting Application at GSM 1800
Authors: Saaid N M , Soh P J , Baharuddin S A , Said H M A , Abdi M K , Hirey A Hassan , Mansor M F Che 
Published: March 2020

Abstract
This paper presents the design and development of a textile bowtie patch antenna for potential RF energy harvesting application using the Global System for Mobile Communication (GSM 1800) band. The size of the antenna is 80 mm × 40 mm, and is designed on a 6 mm thick Felt textile as the substrate and 0.08 mm-thick ShieldIt as its conducting material. The simulated and measured reflection coefficients justified that the bowtie antenna can be used for RF energy harvesting application at 1.8 GHz. This antenna has realized gain ranging from 2.56 dB to 2.55 dB and a total antenna efficiency of -4.3 dB.
Estimation of Harumanis (Mangifera indica L.) Sweetness using Near-Infrared (NIR) Spectroscopy
Authors: Amirul M S , Endut R , Rashidi C B M , Aljunid S A , Ali N , Laili M H , Laili A R , Ismail M N M 
Published: March 2020

Abstract
Harumanis mango quality demanded by consumers is depending on the sweetness level of the fruit. The sweetness is evaluated by brix percentage using refractometer as a representative factor correlated with near-infrared (NIR) spectroscopy spectral absorbance. NIR spectroscopy method of sampling have been tested to overcome the time consuming, complex chemical analysis more importantly invasive sampling methods in order to determine the sugar content in mangoes. Spectral absorbance data from range 941 nm to 1685 nm of mango skin is correlated with Brix reading then tested through five pre-processing techniques. Data calibration and prediction of both data is evaluated using Partial Least Square Regression (PLSR) model. In the final analysis, Unit vector normalization (UVN) technique has achieved as a best pre-processing technique for predicting results, with the coefficient of determination (R2) values of 0.9836 and root mean square error (RMSE) values of 0.3131. Overall, the correlation of NIRS absorbance data and Brix data can be obtained using PLSR model with UVN pre-processing technique. Henceforth, we can conclude that the NIRS method of sampling can be used to identify sugar content in Harumanis mango by using time saving, non-invasive and less laborious method of sampling.
CRiSP: accurate structure prediction of disulfide-rich peptides with cystine-specific sequence alignment and machine learning
Authors: Liu Zi-Lin , Hu Jing-Hao , Jiang Fan , Wu Yun-Dong 
Published: March 2020

Abstract

Motivation
High-throughput sequencing discovers many naturally occurring disulfide-rich peptides or cystine-rich peptides (CRPs) with diversified bioactivities. However, their structure information, which is very important to peptide drug discovery, is still very limited.

Results
We have developed a CRP-specific structure prediction method called Cystine-Rich peptide Structure Prediction (CRiSP), based on a customized template database with cystine-specific sequence alignment and three machine-learning predictors. The modeling accuracy is significantly better than several popular general-purpose structure modeling methods, and our CRiSP can provide useful model quality estimations.

Availability and implementation
The CRiSP server is freely available on the website at http://wulab.com.cn/CRISP.

Contact
wuyd@pkusz.edu.cn or jiangfan@pku.edu.cn

Supplementary information
Supplementary data are available at Bioinformatics online.
A modified scar model with controlled tension on secondary wound healing in mice
Authors: Wang Zi , Huang Xin , Zan Tao , Li Qingfeng , Li Haizhou 
Published: March 2020

Abstract
Pathological scars might cause a distorted appearance and restricted mobility, and the study of scar pathophysiology has been hindered by the absence of a reliable model. In this study, we introduce a model with a modified device to induce controlled tension on a wound healing by secondary intention to overcome the shortcomings of the model generated by Aarabi et al. We investigated and recommend an induction of 0.1 N/mm2 tension on day 7 for 14 days to mimic the characteristics of human scars. A 3.5-fold increase in scar tissue and a 2-fold increase in collagen production were induced by the modified model. Histologically, the modified method increased scar thickness. However, no significant difference was found in cell density between the two groups. This modified procedure significantly increased scar tissue, which could be used for further cellular and biomolecular research. The mechanical force applied to the wound became measurable and controllable. This method is more convenient for researchers to observe in real-time and for providing timely adjustments of the tension used in this modified model.
THC Exposure is Reflected in the Microstructure of the Cerebral Cortex and Amygdala of Young Adults
Authors: Cabeen Ryan P , Allman John M , Toga Arthur W 
Published: March 2020

AbstractThe endocannabinoid system serves a critical role in homeostatic regulation through its influence on processes underlying appetite, pain, reward, and stress, and cannabis has long been used for the related modulatory effects it provides through tetrahydrocannabinol (THC). We investigated how THC exposure relates to tissue microstructure of the cerebral cortex and subcortical nuclei using computational modeling of diffusion magnetic resonance imaging data in a large cohort of young adults from the Human Connectome Project. We report strong associations between biospecimen-defined THC exposure and microstructure parameters in discrete gray matter brain areas, including frontoinsular cortex, ventromedial prefrontal cortex, and the lateral amygdala subfields, with independent effects in behavioral measures of memory performance, negative intrusive thinking, and paternal substance abuse. These results shed new light on the relationship between THC exposure and microstructure variation in brain areas related to salience processing, emotion regulation, and decision making. The absence of effects in some other cannabinoid-receptor-rich brain areas prompts the consideration of cellular and molecular mechanisms that we discuss. Further studies are needed to characterize the nature of these effects across the lifespan and to investigate the mechanistic neurobiological factors connecting THC exposure and microstructural parameters.
Reelin Improves Cognition and Extends the Lifespan of Mutant Ndel1 Mice with Postnatal CA1 Hippocampus Deterioration
Authors: Kiroski Ivana , Jiang Yulan , Gavrilovici Cezar , Gao Fan , Lee Sukyoung , Scantlebury Morris H , Vandal Milene , Park Sang Ki , Tsai Li-Huei , Teskey G Campbell , Rho Jong M , Nguyen Minh Dang 
Published: March 2020

Abstract
The glycoprotein Reelin maintains neuronal positioning and regulates neuronal plasticity in the adult brain. Reelin deficiency has been associated with neurological diseases. We recently showed that Reelin is depleted in mice with a targeted disruption of the Ndel1 gene in forebrain postnatal excitatory neurons (Ndel1 conditional knockout (CKO)). Ndel1 CKO mice exhibit fragmented microtubules in CA1 pyramidal neurons, profound deterioration of the CA1 hippocampus and a shortened lifespan (~10 weeks). Here we report that Ndel1 CKO mice (of both sexes) experience spatial learning and memory deficits that are associated with deregulation of neuronal cell adhesion, plasticity and neurotransmission genes, as assessed by genome-wide transcriptome analysis of the hippocampus. Importantly, a single injection of Reelin protein in the hippocampus of Ndel1 CKO mice improves spatial learning and memory function and this is correlated with reduced intrinsic hyperexcitability of CA1 pyramidal neurons, and normalized gene deregulation in the hippocampus. Strikingly, when treated with Reelin, Ndel1 CKO animals that die from an epileptic phenotype, live twice as long as nontreated, or vehicle-treated CKO animals. Thus, Reelin confers striking beneficial effects in the CA1 hippocampus, and at both behavioral and organismal levels.
The Immunity of Judge Akay of the MICT
Authors: HUANG Deming , SHAN Qintong 
Published: March 2020

Abstract
On 5 October 2016, the President of the UN Residual Mechanism for International Criminal Tribunals officially notified the United Nations Security Council of the failure of the Republic of Turkey to comply with a judicial order issued by the Mechanism which requested the authorities of Turkey to cease all legal proceedings against the MICT Judge Aydin Akay due to his immunity. This paper aims to examine issues pertinent to the immunity of an international judge arising from this situation. It also seeks to explore the conflicts behind the arrest of Judge Akay and draw some conclusions.
Enhanced Interactive Performance of Zoom-In/Out Gestures Using Electrostatic Tactile Feedback on Touchscreens
Authors: Wang Qinglong , Sun Xiaoying , Cao Dekun , Liu Guohong 
Published: March 2020

Abstract
Tactile feedback added to touchscreens provides users with a high-quality interactive experience. The effect of tactile feedback on typical interaction gestures requires to be evaluated. With a custom-designed electrostatic tactile feedback device, we explore the effects of tactile feedback on zoom-in/out gestures and determine the issues satisfied by the relationship between completion time (CT) and index of difficulty (ID). Specifically, we compare the effect of electrostatic tactile feedback on the efficiency and accuracy of zoom-in/out gestures in three conditions, that is, no tactile feedback, linearly increasing tactile feedback force over operation process, and tactile feedback only in a target area. Then, we study the relationship between CT and ID with tactile feedback added to the target area. Results of experimental data from 12 participants show that tactile feedback added only to a target area can significantly increase operational efficiency and accuracy of zoom-in/out gestures. Furthermore, the relationship between CT and ID agrees well with Fitts’ law, and the correlation coefficient is larger than 0.9.
Regional and oyster microenvironmental scale heterogeneity in the Pacific oyster bacterial community
Authors: King William L , Siboni Nachshon , Kahlke Tim , Dove Michael , O'Connor Wayne , Mahbub Khandaker Rayhan , Jenkins Cheryl , Seymour Justin R , Labbate Maurizio 
Published: March 2020

ABSTRACTDifferent organs of a host represent distinct microenvironments resulting in the establishment of multiple discrete bacterial communities within a host. These discrete bacterial communities can also vary according to geographical location. For the Pacific oyster, Crassostrea gigas, the factors governing bacterial diversity and abundance of different oyster microenvironments are poorly understood. In this study, the factors shaping bacterial abundance, diversity and composition associated with the C. gigas mantle, gill, adductor muscle and digestive gland were characterised using 16S (V3-V4) rRNA amplicon sequencing across six discrete estuaries. Both location and tissue-type, with tissue-type being the stronger determinant, were factors driving bacterial community composition. Bacterial communities from wave-dominated estuaries had similar compositions and higher bacterial abundance despite being geographically distant from one another, possibly indicating that functional estuarine morphology characteristics are a factor shaping the oyster bacterial community. Despite the bacterial community heterogeneity, examinations of the core bacterial community identified Spirochaetaceae bacteria as conserved across all sites and samples. Whereas members of the Vulcaniibacterium, Spirochaetaceae and Margulisbacteria, and Polynucleobacter were regionally conserved members of the digestive gland, gill and mantle bacterial communities, respectively. This indicates that baseline bacterial community profiles for specific locations are necessary when investigating bacterial communities in oyster health.
Imaging Alpine crust using ambient noise wave-equation tomography
Authors: Lu Y , Stehly L , Brossier R , Paul A ,   AlpArray Working Group
Published: March 2020

SUMMARYWe present an improved crustal Vs model and Moho depth map using ambient noise wave-equation tomography. The so-called ‘ambient noise wave-equation tomography’ is a method to invert seismic ambient noise phase dispersion data based on elastic waveform simulation, which accounts for 3-D and finite-frequency effects. We use cross-correlations of up to 4 yr of continuous vertical-component ambient seismic noise recordings from 304 high-quality broad-band stations in the Alpine region. We use model LSP_Eucrust1.0 obtained from traditional ambient noise tomography as initial model, and we iteratively improve the initial model by minimizing frequency-dependent phase traveltime differences between the observed and synthetic waveforms of Rayleigh waves in the period range 10–50 s. We obtain the final model after 15 iterations with ∼65 per cent total misfit reduction compared to the initial model. At crustal depth, the final model significantly enhances the amplitudes and adjusts the shapes of velocity anomalies. At Moho and upper-mantle depth, the final model corrects an obvious systematic velocity shift of the initial model. The resulting isovelocity Moho map confirms a Moho step along the external side of the external crystalline massifs of the northwestern Alps and reveals underplated gabbroic plutons in the lower most crust of the central and eastern Alps. Ambient noise wave-equation tomography turns out to be a useful tool to refine shear wave velocity models obtained by traditional ambient noise tomography based on ray theory.
Preimplantation loss of fertilized human ova: estimating the unobservable
Authors: Wilcox Allen J , Harmon Quaker , Doody Kevin , Wolf Don P , Adashi Eli Y 
Published: March 2020

AbstractSTUDY QUESTIONWhat proportion of fertilized human ova are lost before implantation?SUMMARY ANSWERAn estimated 40 to 50% of fertilized ova fail to implant.WHAT IS KNOWN ALREADYPreimplantation loss is not detectable with current technology. Published estimates of preimplantation loss range from 10 to 70%.STUDY DESIGN, SIZE, DURATIONWe combine data from epidemiologic, demographic, laboratory and in vitro fertilization studies to construct an empirical framework for the estimation of preimplantation loss. This framework is summarized in a user-friendly Excel file included in supplement.PARTICIPANTS/MATERIALS, SETTING, METHODSWe draw from multiple sources to generate plausible estimates of fecundability, sterility, transient anovulation, intercourse patterns and the proportion of ova fertilized in the presence of sperm. We combine these estimates to generate a summary estimate of preimplantation loss. This estimate can be considered an average for couples in their prime reproductive years.MAIN RESULTS AND THE ROLE OF CHANCEUnder a plausible range of assumptions, we estimate that 40 to 50% of fertilized ova fail to implant.LIMITATIONS, REASONS FOR CAUTIONA crucial factor in estimating preimplantation loss is the probability that an ovum will be fertilized when exposed to sperm. Human data are available only from in vitro fertilization (IVF), which may not accurately represent events in vivo. We therefore assume a range of in vivo fertilization rates, from 64% (human IVF data) to 90% (mouse data).WIDER IMPLICATIONS OF THE FINDINGSOur estimate of preimplantation loss takes into account the biological processes relevant to fertilization and loss. Using this empirical basis for estimation, we find support for the usual assumption that risk of loss is highest in the earliest days following fertilization. Furthermore, this framework can provide improved estimates as better reproductive data become available. To the extent that our estimates are accurate, more fertilized ova are apparently lost in vitro than in vivo, suggesting that further improvements in IVF success rates may be possible.STUDY FUNDING/COMPETING INTEREST(S)This study was supported by the Intramural Program of the National Institute of Environmental Health Sciences, NIH. Professor Adashi serves as Co-Chair of the Safety Advisory Board of Ohana Biosciences, Inc. The other authors have no competing interests.TRIAL REGISTRATION NUMBERN/A.
Decoding Decentralized Control Mechanism Underlying Adaptive and Versatile Locomotion of Snakes
Authors: Kano Takeshi , Ishiguro Akio 
Published: March 2020

AbstractSnakes have no limbs and can move in various environments using a simple elongated limbless body structure obtained through a long-term evolutionary process. Specifically, snakes have various locomotion patterns, which they change in response to conditions encountered. For example, on an unstructured terrain, snakes actively utilize the terrain’s irregularities and move effectively by actively pushing their bodies against the “scaffolds” that they encounter. In a narrow aisle, snakes exhibit concertina locomotion, in which the tail part of the body is pulled forward with the head part anchored, and this is followed by the extension of the head part with the tail part anchored. Furthermore, snakes often exhibit three-dimensional (3-D) locomotion patterns wherein the points of ground contact change in a spatiotemporal manner, such as sidewinding and sinus-lifting locomotion. This ability is achieved possibly by a decentralized control mechanism, which is still mostly unknown. In this study, we address this aspect by employing a synthetic approach to understand locomotion mechanisms by developing mathematical models and robots. We propose a Tegotae-based decentralized control mechanism and use a 2-D snake-like robot to demonstrate that it can exhibit scaffold-based and concertina locomotion. Moreover, we extend the proposed mechanism to 3D and use a 3-D snake-like robot to demonstrate that it can exhibit sidewinding and sinus-lifting locomotion. We believe that our findings will form a basis for developing snake-like robots applicable to search-and-rescue operations as well as understanding the essential decentralized control mechanism underlying animal locomotion.
Aberrant Auditory Steady-State Response of Awake Mice After Single Application of the NMDA Receptor Antagonist MK-801 Into the Medial Geniculate Body
Authors: Wang Xuejiao , Li Yingzhuo , Chen Jingyu , Li Zijie , Li Jinhong , Qin Ling 
Published: March 2020

Abstract

Background
Systemic administration of noncompetitive N-methyl-D-aspartate receptor (NMDAR) antagonists such as MK-801 is widely used to model psychosis of schizophrenia (SZ). Acute systemic MK-801 in rodents caused an increase of the auditory steady-state responses (ASSRs), the oscillatory neural responses to periodic auditory stimulation, while most studies in patients with SZ reported a decrease of ASSRs. This inconsistency may be attributable to the comprehensive effects of systemic administration of MK-801. Here, we examined how the ASSR is affected by selectively blocking NMDAR in the thalamus.

Methods
We implanted multiple electrodes in the auditory cortex (AC) and prefrontal cortex to simultaneously record the local field potential and spike activity (SA) of multiple sites from awake mice. Click-trains at a 40-Hz repetition rate were used to evoke the ASSR. We compared the mean trial power and phase-locking factor and the firing rate of SA before and after microinjection of MK-801 (1.5 µg) into the medial geniculate body (MGB).

Results
We found that both the AC and prefrontal cortex showed a transient local field potential response at the onset of click-train stimulus, which was less affected by the application of MK-801 in the MGB. Following the onset response, the AC also showed a response continuing throughout the stimulus period, corresponding to the ASSR, which was suppressed by the application of MK-801.

Conclusion
Our data suggest that the MGB is one of the generators of ASSR, and NMDAR hypofunction in the thalamocortical projection may account for the ASSR deficits in SZ.
A Heterodimeric Antibody Fragment for Passive Immunotherapy Against Norovirus Infection
Authors: Yuki Yoshikazu , Kurokawa Shiho , Sato Shintaro , Sasou Ai , Matsumoto Naomi , Suzuki Akio , Sakon Naomi , Goda Yuki , Takeyama Natsumi , Miyoshi Tatsuya , Marcotte Harold , Tanaka Tomoyuki , Hammarstrom Lennart , Kiyono Hiroshi 
Published: March 2020

Abstract
Human noroviruses cause an estimated 685 million infections and 200 000 deaths annually worldwide. Although vaccines against GII.4 and GI.1 genotypes are under development, no information is available regarding vaccines or monoclonal antibodies to other noroviral genotypes. Here, we developed 2 variable-domain llama heavy-chain antibody fragment (VHHs) clones, 7C6 and 1E4, against GII.4 and GII.17 human noroviruses, respectively. Although 7C6 cross-reacted with virus-like particles (VLPs) of GII.17, GII.6, GII.3, and GII.4, it neutralized only GII.4 norovirus. In contrast, 1E4 reacted with and neutralized only GII.17 VLPs. Both VHHs blocked VLP binding to human induced pluripotent stem cell-derived intestinal epithelial cells and carbohydrate attachment factors. Using these 2 VHHs, we produced a heterodimeric VHH fragment that neutralized both GII.4 and GII.17 noroviruses. Because VHH fragments are heat- and acid-stable recombinant monoclonal antibodies, the heterodimer likely will be useful for oral immunotherapy and prophylaxis against GII.4 and GII.17 noroviruses in young, elderly, or immunocompromised persons.