bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spontaneously Conversion from Film to High Crystalline Quality Stripe during Molecular Beam Epitaxy for High Sn Content GeSn
Authors: Wang Nan , Xue Chunlai , Wan Fengshuo , Zhao Yue , Xu Guoyin , Liu Zhi , Zheng Jun , Zuo Yuhua , Cheng Buwen , Wang Qiming 
Published: April 2020

AbstractTwo series of Ge0.8Sn0.2 samples were grown on Ge buffered Si substrate by molecular beam epitaxy (MBE) to investigate the influence of growth temperature and film thickness towards the evolution of surface morphology. A novel phenomena was observed that the Ge0.8Sn0.2 film was segregated and relaxed by the formation of GeSn stripes on the film. Under specific growth condition, the stripes can cover nearly the whole surface. XRD, TEM, AFM, PL and TEM results indicated that the stripes are high quality single crystalline GeSn with Sn content around 5%. The formation of GeSn stripes proposes an effective strategy to fabricate high crystalline quality GeSn stripe on Si, where the Ge0.8Sn0.2 film serves as precursor and the segregated Sn works as catalyst droplets. This technique has great potential for future optoelectronic and microelectronic applications.
Poly(N-isopropylacrylamide) based thin microgel films for use in cell culture applications
Authors: Sanzari Ilaria , Buratti Elena , Huang Ruomeng , Tusan Camelia G. , Dinelli Franco , Evans Nicholas D. , Prodromakis Themistoklis , Bertoldo Monica 
Published: April 2020

AbstractPoly(N-isopropylacrylamide) (PNIPAm) is widely used to fabricate cell sheet surfaces for cell culturing, however copolymer and interpenetrated polymer networks based on PNIPAm have been rarely explored in the context of tissue engineering. Many complex and expensive techniques have been employed to produce PNIPAm-based films for cell culturing. Among them, spin coating has demonstrated to be a rapid fabrication process of thin layers with high reproducibility and uniformity. In this study, we introduce an innovative approach to produce anchored smart thin films both thermo- and electro-responsive, with the aim to integrate them in electronic devices and better control or mimic different environments for cells in vitro. Thin films were obtained by spin coating of colloidal solutions made by PNIPAm and PAAc nanogels. Anchoring the films to the substrates was obtained through heat treatment in the presence of dithiol molecules. From analyses carried out with AFM and XPS, the final samples exhibited a flat morphology and high stability to water washing. Viability tests with cells were finally carried out to demonstrate that this approach may represent a promising route to integrate those hydrogels films in electronic platforms for cell culture applications.
Defining the mechanism of the mitochondrial Atm1p [2Fe–2S] cluster exporter
Authors: Pearson Stephen A , Wachnowsky Christine , Cowan J A 
Published: April 2020

Abstract
Iron–sulfur cluster proteins play key roles in a multitude of physiological processes; including gene expression, nitrogen and oxygen sensing, electron transfer, and DNA repair. Biosynthesis of iron–sulfur clusters occurs in mitochondria on iron–sulfur cluster scaffold proteins in the form of [2Fe–2S] cores that are then transferred to apo targets within metabolic or respiratory pathways. The mechanism by which cytosolic Fe–S cluster proteins mature to their holo forms remains controversial. The mitochondrial inner membrane protein Atm1p can transport glutathione-coordinated iron–sulfur clusters, which may connect the mitochondrial and cytosolic iron–sulfur cluster assembly systems. Herein we describe experiments on the yeast Atm1p/ABCB7 exporter that provide additional support for a glutathione-complexed cluster as the natural physiological substrate and a reflection of the endosymbiotic model of mitochondrial evolution. These studies provide insight on the mechanism of cluster transport and the molecular basis of human disease conditions related to ABCB7. Recruitment of MgATP following cluster binding promotes a structural transition from closed to open conformations that is mediated by coupling helices, with MgATP hydrolysis facilitating the return to the closed state.
A role for TGFβ signalling in medium spiny neuron differentiation of human pluripotent stem cells
Authors: Fjodorova Marija , Noakes Zoe , Li Meng 
Published: April 2020

Abstract
Activin A and other TGFβ family members have been shown to exhibit a certain degree of promiscuity between their family of receptors. We previously developed an efficient differentiation protocol using Activin A to obtain medium spiny neurons (MSNs) from human pluripotent stem cells (hPSCs). However, the mechanism underlying Activin A-induced MSN fate specification remains largely unknown. Here we begin to tease apart the different components of TGFβ pathways involved in MSN differentiation and demonstrate that Activin A acts exclusively via ALK4/5 receptors to induce MSN progenitor fate during differentiation. Moreover, we show that Alantolactone, an indirect activator of SMAD2/3 signalling, offers an alternative approach to differentiate hPSC-derived forebrain progenitors into MSNs. Further fine tuning of TGFβ pathway by inhibiting BMP signalling with LDN193189 achieves accelerated MSN fate specification. The present study therefore establishes an essential role for TGFβ signalling in human MSN differentiation and provides a fully defined and highly adaptable small molecule-based protocol to obtain MSNs from hPSCs.
A novel calibration method for atmospheric NO3 radical via high reflectivity cavity
Authors: Wang Dan , Hu Renzhi , Xie Pinhua , Li Zhiyan 
Published: April 2020

Abstract
The NO3 radical is one of the important indicators of atmospheric oxidation capability at night, and its accurate detection has been extensively investigated. High reflectivity cavity instruments, such as cavity ring-down spectroscopy (CRDS) and cavity-enhanced absorption spectroscopy (CEAS), are generally employed for NO3 radical detection. However, sampling detection easily adsorbs radicals on surfaces, which causes complications and even additional loss. According to the chemical conversion relationship between NO3 radical and NO2, a method of absolute calibration different from the previous relative calibration method is applied by combining the CRDS and CEAS instruments for the NO3 radical and NO2, respectively. Experimental results show that the overall transmission efficiency of the NO3 radical for the CRDS instrument is approximately 75% ± 9% at a flow rate of 6.5 SLPM. Comparative experiments between the two methods are conducted to estimate the accuracy of this method. The achieved results indicate that absolute calibration is a reliable and feasible method for radical calibration in the laboratory. Furthermore, the absolute calibration method has the potential to realize accurate real-time calibration in field measurements.
Signal processing techniques for efficient compilation of controlled rotations in trapped ions
Authors: Groenland Koen , Witteveen Freek , Schoutens Kareljan , Gerritsma Rene 
Published: April 2020

Abstract
Quantum logic gates with many control qubits are essential in many quantum algorithms, but remain challenging to perform in current experiments. Trapped ion quantum computers natively feature the Mølmer–Sørensen (MS) entangling operation, which effectively applies an Ising interaction to all pairs of qubits at the same time. We consider a sequence of equal all-to-all MS operations, interleaved with single-qubit gates that act only on one special qubit. Using a connection with quantum signal processing techniques, we find that it is possible to perform an arbitray SU(2) rotation on the special qubit if and only if all other qubits are in the state

1

. Such controlled rotation gates with N − 1 control qubits require 2N applications of the MS gate, and can be mapped to a conventional Toffoli gate by demoting a single qubit to ancilla.
Design of Branch Predictor Based on Jaccard Coefficient
Authors: Zhang YICHENG 
Published: April 2020

Abstract
Reasonable design of the branch predictor is one of the main factors that affect the performance of contemporary processors. In view of the fact that the high precision of existing single prediction algorithm is confined to the type of branch instructions, this paper proposes a composite branch prediction method with the combination of global predictor and local predictor. The branch selector based on Hamming distance and bitwise adder chooses the more rational prediction from local branch predictor and global branch predictor, leading to high-accuracy prediction about different types of branches. Results of functional simulation indicate that the composite branch predictor proposed in this paper can make highly precise prediction about various programs.
Application of Hybrid Intelligent Algorithms in Path Planning
Authors: Cuan Ying , Li Yike , Li Xiangjuan 
Published: April 2020

Abstract
Combining with the classical combinatorial optimization problem in the field of mathematics, this paper decides to take the optimal path planning problem as the research object. A new neighborhood search operator is introduced into the basic worker bee colony algorithm, and the optimization strategy of the algorithm is updated by combining the simulated annealing algorithm. Finally, the improved algorithm is applied to the optimal layout of the path planning, and the optimization results are compared with those of other algorithms. The simulation test shows that the intelligent optimization scheme proposed in this paper can get better optimization results, and has certain feasibility in the path planning. It provides valuable reference for solving the classical problems of the same type.
Office Garbage Intelligent Classification Based on Inception-v3 Transfer Learning Model
Authors: Feng Jie-wen , Tang Xiao-yu 
Published: April 2020

Abstract
With the increase in garbage production, the problem of garbage pollution is becoming more and more serious. Garbage recognition and classification can reduce the environmental burden, but there are still some challenges. Image classification, an image processing method that separates different categories of objects according to different characteristics reflected in the image information. This paper collected and produced an image data set with 2313 photos of different office garbage, and proposed an intelligent classification garbage can to solve the realistic problems. That method based on transfer techniques to retain the excellent feature extraction ability of the Inception-v3 model of TensorFlow, which can recognize objects through the convolutional neural network model. The experimental results showed that the garbage classification effect was obvious and the average accuracy rate reached 95.33%.
A Joint Learning Information Extraction Method Based on an Effective Inference Structure
Authors: Ma Shaopeng , Chen Xiong 
Published: April 2020

Abstract
Over the past few years, natural language processing is getting much attraction from more scholars and institutions. Knowledge graph has been regarded as a crucial role in pushing natural language understanding forward. The task of information extraction is the first step to build a large-scale knowledge graph, which means to identify information from the natural language text and extract it in the form of entity and relation triplets. Some joint learning method have been proposed in this domain recently. In this paper, we inherit the idea of joint learning, use a simple, lightweight but effective structure to solve this task and compare our method with some recent algorithms on the benchmark dataset NYT and WebNLG. Results show that our method can get an improvement in F1 score.
Towards The Development of a Smart Drone Police: Illustration in Traffic Speed Monitoring
Authors: Thoa Mac Thi , Copot Cosmin , Lin Chyi-Yeu , Hong Hai Hoang , Ionescu Clara M. 
Published: April 2020

Abstract
Applications, such as, mapping, highway traffic monitoring and punishment (drone police), surveillance, rescues, precision agriculture, medical resupply missions, require a stable mobile platform for remote sensing. Sensing is an important component to prevent traffic congestion and traffic monitor to make decision. This paper studies a smart drone police based on a unmanned aerial vehicle (UAV): Illustration in traffic speed monitoring. The using of a UAV instead of static cameras/sensors provide some advantages, such as, its super flexibility, real-time operations, rich information and low cost. The experiment is performed on a lab-scale system to verify the effectiveness of the proposed methodology.
Image Defect Detection and Root Cause Analysis
Authors: Liu Tiancheng , Yu Haoran , Han Xu , Gu Haisong 
Published: April 2020

Abstract
Artificial Intelligence has played an increasingly important role in visual defect detection in recent years, while there are many challenges using deep learning for this application, such as the shortage of data, lack of knowledge of root cause of defects. In this paper, we combine deep learning with traditional AI methods, not only to solve unshaded defect detection but also find root causes of detected defects. First, we propose a taxonomy method called DataonomySM to extend a meta defect dataset with a small number of samples and a deep learning method to detect the image defects. For detected defect images, we use a generalized multi-image matting algorithm to extract common defects automatically. We apply this technology to identify defects that stem from systematic errors in a product line and later extended its use to watermark processing. Experimental results have shown great capability and versatility of our proposed methods.
Abnormal Behavior Detection Based on the Potential Field Forces in Surveillance Scenarios
Authors: Qiang Yong , Fei Shumin , Li Liuwen 
Published: April 2020

Abstract
In a social environment, there is a natural mutual force between people. This paper proposes a method for detecting group abnormal behavior based on the potential field method. The movement of a pedestrian is described as the movement towards the target under the combined action of several forces. Forces on pedestrians include the attractive force for themselves and the repulsive force between pedestrians. By calculating the resultant force between them, the behavior of pedestrians is judged according to a set threshold. It is verified through experiments on public data sets that our method has high accuracy and robustness.
A Review: Robust Locomotion for Biped Humanoid Robots
Authors: Xie Ye , Lou Bin , Xie Anhuan , Zhang Dan 
Published: April 2020

Abstract
One of the most interesting and pressing challenges in the study on biped humanoid robots is to achieve high robustness in locomotion. This paper presents a brief overview of work and methods on robust walking and running for bipedal robots. So far, many robust walking methods have been proposed to reject terrain disturbances and impulsive force disturbances. The applications of the proposed methods to real robots improve the robustness and adaptivity of robots by large margin. Up to now, bipedal robots can traverse unknown terrains with ground variation exceeding 20% of leg length. The height of obstacles increases more than threefold compared to decades ago. With regards to unexpected external force, bipedal robots can recover the balance from sudden push not only at stationary state, but also during the walk. On the other hand, the biped running is underdeveloped compared to the robust walking. Still the highest running speed is less than 3.0 m/s, not to mention the poor robustness to large disturbances.
S & T interventions on quality planting material production of Batikuling (Litsea leytensis Merr.) for the wood-based industry of Paete, Laguna, Philippines
Authors: Gutierrez K E , Tinamisan E J , Dimailig E A , Durante W S , Gatson C V , Nolasco A M , Ravanzo J V , Maldia L SJ 
Published: April 2020

Abstract
The production of high quality planting stocks should not be dependent on the volume and seasonal availability of the seeds of the target forest tree species to be planted. Adopting a scientific way of producing and conserving indigenous forest trees for agroforestry could prevent the use of inferior planting materials. Quality planting material production of a threatened indigenous forest tree species like Batikuling (Litsea leytensis Merr.) is necessary to increase its declining population in forestlands. Wood of Batikuling is used in Paete, Laguna for carving statues, architectural additions, and souvenirs that are known in the country and the world. With the existing clonal forestry facility of Southern Luzon State University, the tree species was produced through vegetative reproduction and raised in a nursery adopting the tested protocol. The process will assure the production of the needed volumes of quality planting stocks at any time of the year without waiting for the flowering or fruiting of forest trees in the wild. The project encouraged greater participation from the local government unit, tree farmers and youth as they showcased their contribution in conserving this important indigenous tree species to increase economic productivity while securing sustainability of ecological services.
Effect of ultraviolet-C treatments and storage room condition on the respiration rate, weight loss, and color change of Shallots (Allium ascalonicum L.) during storage
Authors: Fauziah P Y , Bintoro N , Karyadi J N W 
Published: April 2020

Abstract
Shallots (Allium ascalonicum L.) is one of Indonesia’smain agricultural commodities that has many benefits and high economy value. However, this commodity is very easily damaged after being harvested, such as high weight loss, fungal attacks, sprouting, and decay. UV-C treatments is one of technologies that can be used to maintain the quality of agricultural products, safely and non-toxic. UV-C treatments, in measureable doses, capable to inhibit the growth of microbial contaminants that cause damage, so it can reduce the rate of quality deterioration. During the process, an ionization process will occur which can cause collisions of chemical bonds in DNA molecules, this reaction will inhibit microbial growth in irradiated material. When the irradiation process is stopped, there is no negative energy left, in other words, the irradiation process does not result in food being radioactive or contaminated by radiation. This study was intended to evaluate the effect of combination treatment, between the duration of ultraviolet-C irradiation and room storage temperature on the respiration rate, weight loss, and color change on shallots during storage. The material used in this study was fresh shallots which had been cleaned from roots and leaves, then treated with UV-C for 30 minutes, 60 minutes, and 90 minutes. Shallots that had been treated by UV-C were stored at various room storage condition, T 5°C-RH 93.5%, T 10°C-RH 45.5%, and T 28°C-RH 76.1% (room temperature). Quality parameters, include respiration rate, weight loss, and color change observed every 1 week for 12 weeks. The results showed that the combination of ultraviolet-C irradiation treatment and low temperature room storage was able to inhibit the respiration rate (p < 0.05), and inhibit the weight loss of shallots during storage for 12 weeks (p < 0.05). The peel color of shallots was significantly affected by room storage temperature, but wasn’t significantly affected by UV-C treatment. So that this method was considered capable of being applied to maintain the quality of the shallots during storage.
Modification of nanochitosan with NaCl and surfactant for wood preservative
Authors: Primaningtyas A , Listyanto T , Lukmandaru G , Weasa B M 
Published: April 2020

Abstract
Chitosan is a natural preservative which is really potential termicide to resist attack termites. Chitosan in size nanometers (nanochitosan) is expected to improve the effectiveness of the nature of anti-termite properties. The smaller size of particles has advantage to easily penetrate the wood pores. Nanochitosan was modified with surfactants (polysorbate-20 and polysorbate-80) and NaCl to increase retention and penetration of preservatives and its anti-termite properties. The purpose of this study was to evaluate the effect of surfactant and NaCl on the parameters of preservation tests which included absorption, retention and termite mortality, and particle size data as supporting data. The average value of absorption and retention of preservatives ranged from 105.79-124.43 kg/m3 and 9.18-18.26 kg/m3. The termite mortality was 33.11-46.89 % for 4 weeks of observation. Data were analyzed using variance analysis (ANOVA) to determine the significance of each treatment. It showed that polysorbate had significant effect to the absorption of preservatives and termite mortality while the retention was influenced by the type and concentration of surfactants. The treatments with the various single compounds showed that both surfactants had a significant effect on absorption, whereas polysorbate-20 had a significant effect on all treatment interactions, and NaCl treatment significantly affected the termite mortality. It was thought that he surfactant treatments increased the retention of nanochitosan by hydrophobic interactions whereas the addition of NaCl increased anti-termite properties and made particles smaller and stable which caused in higher retention. In this study, nanochitosan had an average size of 233 - 798 nm.
Weed extracts as potential biopesticides against Cabbage black rot in an upland of Southern Philippines
Authors: Marin M B , Bautista C V 
Published: April 2020

Abstract
. In vivo and in vitro experiments were conducted to evaluate different plant parts of Solanum biflorum Lour. in combination with Lantana camara Linn. as biopesticide against black rot of cabbage. There were nine treatments replicated three times. The least disease severity rating was consistently observed in T4 (fruits of S. biflorum + leaves of L. camara) which was comparable to T1 (Kocide) at 14, 21 and 28 Days After Treatment (DAT). Highly significant variation was observed among means on the number of harvested heads, weight of cabbage and adjusted yield per hectare. Furthermore, T1 (Kocide) and T4 (fruits of S. biflorum + L. camara leaves) had the most number of harvested heads comparable to T6 (roots of S. biflorum + leaves of L. camara). On the adjusted yield per hectare, T1 (Kocide) had the highest yield of 16,800 kg/ha which differed significantly from the other treatments. Among the extracts, T4 (fruits of S. biflorum + leaves of L. camara had the highest mean of 9,600 kg/ha comparable to T6 (roots of S. biflorum) with 9,200 kg/ha. Based on the results, the fruits of S. biflorum and L. camara leaves proved effective in the control of black rot of cabbage.