bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anatomical study of variations of musculocutaneous nerve
Authors: Chitra P. S , Sobana M 
Published: November 2019

Abstract
Background and aim: The musculocutaneous nerve is responsible for the innervation of the flex or musculature of the elbow and the skin sensitivity from elbow to wrist by an anterior and posterior branch along the radial border of the forearm Variation in the origin, course, branching pattern and termination of musculocutaneous nerve in the arm has been often reported earlier and the present study about the variations of musculocutaneous nerve was carried out to identity more such variations in South Indian Subjects. Materials and methods: The study was carried out on 40 formalin preserved cadavers i.e. 80 upper limbs. Results: Variations were found in four separate limbs, in two limbs the musculocutaneous nerve was absent (2.5%), in one limb there was a distal communication between musculocutaneous nerve and median nerve associated with the three - headed biceps muscle (1.25%) and in one limb the musculocutaneous nerve neither pierced the coracobrachialis nor had any communication with median nerve (1.25%). Conclusion: Such anatomical variations in musculocutaneous nerve would be of value to the practicing neurosurgeons, orthopedic surgeons, anesthetists during surgical procedures including brachial plexus block.
Gender differences in the maxillary sinus volume : a study using computed tomography scans of a sample of Tamil Nadu population
Authors: Muthukumaravel N , Manjunath K. Y. 
Published: November 2019

Abstract
Background and aims : Measurements of the maxillary sinus volumes in computed tomography (CT) scans can be used for determination of gender when other methods are inconclusive. Maxillary sinus dimension measurements are valuable in studying sexual dimorphism and can assist in gender determination. The radiographic images can provide adequate measurements for maxillary sinuses that cannot be approached by other means. The purpose of the present study was to determine and compare the volume of the maxillary sinus between males and females of Tamil Nadu region using CT scans. Materials and methods : This study was carried out by using CT images of head region of 100 males and 100 females who underwent CT scanning for indications other than the pathology of the maxillary sinuses. The CT images obtained were of patients between 20 to 50 years of age. The maxillary sinus volume of each side were calculated by using the following formula: Maximal width X Maximal height X Maximal depth X 0.5. Comparison of data between genders and sides was done. The statistical inference was derived by applying unpaired student "t" test and the p value was obtained (p value <.05 was considered statistical significant). Results: Oncomparison of males with females, the mean volumes of maxillary sinuses on each side (left and right) had shown a statistically significant difference (p<.OOOl ). The maxillary sinus volumes of the males were found to be significantly higher than that of the females. Among males, the average mean volume of maxillary sinuses (right + left) is 15.15 ± 0.45 cm3. Among females, the average mean volume of maxillary sinuses (right + left) is 12.77 ± 1.34 em' which is significantly lesser than that of the males. Conclusion : It can be concluded that the volumes of the maxillary sinuses of males are larger than those of the females and this difference is statistically significant. Maxillary sinus dimension measurements can assist in gender determination.
Long term exposure of 900-1800 MHz mobile phone radiation on mice liver - A histological study
Authors: Mugunthan N , Samy K Shanmuga , Anbalagan J , Meenachi S 
Published: November 2019

Abstract
Background and aims: Rapid developments in the telephone technology has made the communication faster and easier. The duration of the usage of mobile phones has also increased beyond the limits, which has raised the public concerns about their safety. This study was designed to investigate the long term exposure of 900 MHz to 1800 MHz mobile phone radiation induced structural changes in the mice liver at histological level. Materials & methods: After approval of institutional animal ethics committee, 36 mice were exposed to 20 (900-1800 MHz) mobile phone radiation, 48 minutes per day for a period of 30 to 180 days. The sham exposed group of 36 mice were kept under similar conditions without 20 exposure. The animals were sacrificed and the liver was removed after 1-6 months. The weight and volume of liver were recorded and the liver tissue was processed for histological study. The sections were studied under light microscope for structural changes. Two groups' data were compared and analyzed statistically. Results: Liver of 20 exposed groups showed the following findings in comparison to sham exposed group: Liver parenchyma and the periportal regions were infiltrated with lymphocytes, macrophages and neutrophil (mixed type of inflammation). Focal hemorrhages were found within the liver parenchyma. Hepatic sinusoids were congested and dilated. Many hepatocytes were swollen and showed pyknotic nuclei and vacuolations present in the cytoplasm. Conclusion: The long term exposure of ultra-high frequency radiation emitted from 20 cell phone can cause microscopic changes in the liver.
Effect of ligand methylation on the spin-switching properties of surface-supported spin-crossover molecules
Authors: Ossinger Sascha , Kipgen Lalminthang , Naggert Holger , Bernien Matthias , Britton Andrew J , Nickel Fabian , Arruda Lucas M , Kumberg Ivar , Engesser Tobias A , Golias Evangelos , Näther Christian , Tuczek Felix , Kuch Wolfgang 
Published: November 2019

Abstract
X-ray absorption spectroscopy investigations of the spin-state switching of spin-crossover (SCO) complexes adsorbed on a highly-oriented pyrolytic graphite (HOPG) surface have shown so far that HOPG is a promising candidate to realize applications such as spintronic devices because of the stability of SCO complexes on HOPG and the possibility of highly efficient thermal and light-induced spin-state switching. Herein, we present the spin switching of several Fe(II) SCO complexes adsorbed on an HOPG surface with particular emphasis on the thermally induced spin transition behaviour with respect to different structural modifications. The complexes of the type [Fe(bpz)2(L)] (bpz  =  dihydrobis(pyrazolyl)borate, L  =  1,10-phenanthroline, 2,2′-bipyridine) and their methylated derivatives exhibit SCO in the solid state with some differences regarding cooperative effects. However, in the vacuum-deposited thick films on quartz, complete and more gradual spin transition behavior is observable via UV/vis spectroscopy. In contrast to that, all complexes show large differences upon direct contact with HOPG. Whereas the unmodified complexes show thermal and light-induced SCO, the addition of e.g. two or four methyl groups leads to a partial or a complete loss of the SCO on the surface. The angle-dependent measurement of the N K-edge compared to calculations indicates that the complete SCO and HS-locked molecules on the surface exhibit a similar preferential orientation, whereas complexes undergoing an incomplete SCO exhibit a random orientation on the surface. These results are discussed in the light of molecule-substrate interactions.
First order phase transitions and the thermodynamic limit
Authors: Thiele Uwe , Frohoff-Hülsmann Tobias , Engelnkemper Sebastian , Knobloch Edgar , Archer Andrew J 
Published: November 2019

Abstract
We consider simple mean field continuum models for first order liquid–liquid demixing and solid–liquid phase transitions and show how the Maxwell construction at phase coexistence emerges on going from finite-size closed systems to the thermodynamic limit. The theories considered are the Cahn–Hilliard model of phase separation, which is also a model for the liquid-gas transition, and the phase field crystal model of the solid–liquid transition. Our results show that states comprising the Maxwell line depend strongly on the mean density with spatially localized structures playing a key role in the approach to the thermodynamic limit.
Short reaction times in response to multi-electrode intracortical microstimulation may provide a basis for rapid movement-related feedback
Authors: Sombeck Joseph T , Miller Lee E 
Published: November 2019

Abstract

Objective. Tetraplegic patients using brain–machine interfaces can make visually guided reaches with robotic arms. However, restoring proprioceptive feedback to these patients will be critical, as evidenced by the movement deficit in patients with proprioceptive loss. Proprioception is critical in large part because it provides faster feedback than vision. Intracortical microstimulation (ICMS) is a promising approach, but the ICMS-evoked reaction time (RT) is typically slower than that to natural proprioceptive and often even visual cues, implying that ICMS feedback may not be fast enough to guide movement. Approach. For most sensory modalities, RT decreases with increased stimulus intensity. Thus, it may be that stimulation intensities beyond what has previously been used will result in faster RTs. To test this, we compared the RT to ICMS applied through multi-electrode arrays in area 2 of somatosensory cortex to that of mechanical and visual cues. Main results. We found that the RT to single-electrode ICMS decreased with increased current, frequency, and train length. For 100 µA, 330 Hz stimulation, the highest single-electrode intensity we tested routinely, most electrodes resulted in RTs slower than the mechanical cue but slightly faster than the visual cue. While increasing the current beyond 100 µA resulted in faster RTs, sustained stimulation at this level may damage tissue. Alternatively, by stimulating through multiple electrodes (mICMS), a large amount of current can be injected while keeping that through each electrode at a safe level. We found that stimulation with at least 480 µA equally distributed over 16 electrodes could produce RTs as much as 20 ms faster than the mechanical cue, roughly the conduction delay to cortex from the periphery. Significance. These results suggest that mICMS may provide a means to supply rapid, movement-related feedback. Future neuroprosthetics may need spatiotemporally patterned mICMS to convey useful somatosensory information.

Novelty & Significance

Intracortical microstimulation (ICMS) is a promising approach for providing artificial somatosensation to patients with spinal cord injury or limb amputation, but in prior experiments, subjects have been unable to respond as quickly to it as to natural cues. We have investigated the use of multi-electrode stimulation (mICMS) and discovered that it can produce reaction times as fast or faster even than natural mechanical cues. Although our stimulus trains were not modulated in time, this result opens the door to more complex spatiotemporal patterns of mICMS that might be used to rapidly write in complex somatosensory information to the CNS.
High-temperature expansions and message passing algorithms
Authors: Maillard Antoine , Foini Laura , Castellanos Alejandro Lage , Krzakala Florent , Mézard Marc , Zdeborová Lenka 
Published: November 2019

Abstract
Improved mean-field techniques are a central theme of statistical physics methods applied to inference and learning. We revisit here some of these methods using high-temperature expansions for disordered systems initiated by Plefka, Georges and Yedidia. We derive the Gibbs free entropy and the subsequent self-consistent equations for a generic class of statistical models with correlated matrices and show in particular that many classical approximation schemes, such as adaptive TAP, expectation-consistency, or the approximations behind the vector approximate message passing algorithm all rely on the same assumptions, that are also at the heart of high-temperature expansions. We focus on the case of rotationally invariant random coupling matrices in the ‘high-dimensional’ limit in which the number of samples and the dimension are both large, but with a fixed ratio. This encapsulates many widely studied models, such as restricted Boltzmann machines or generalized linear models with correlated data matrices. In this general setting, we show that all the approximation schemes described before are equivalent, and we conjecture that they are exact in the thermodynamic limit in the replica symmetric phases. We achieve this conclusion by resummation of the infinite perturbation series, which generalises a seminal result of Parisi and Potters. A rigorous derivation of this conjecture is an interesting mathematical challenge. On the way to these conclusions, we uncover several diagrammatical results in connection with free probability and random matrix theory, that are interesting independently of the rest of our work.
Convolutional Neural Network Based Landcover Analysis of Satellite Images
Authors: Liu William Song 
Published: November 2019

Abstract
This paper introduces the application of convolutional neural networks (CNNs) for landcover analysis of satellite images. The development of remote sensing techniques makes abundant aerial color and hyperspectral imagery accessible, which brings challenges to efficient data analysis. As a powerful feature representation learning method, CNN is a good candidate for such tasks. Several pre-processing methods and network structures are investigated in this paper. They are able to achieve high accuracy on testing data. The results suggest that network proposed in this paper can be used as an accurate and efficient system to classify landcover usage.
A hydrate blockage recognition technique for natural gas pipelines based on BP neural network
Authors: Huang Yingchao , Jin Shuo , Wu Liqun 
Published: November 2019

Abstract
In energy industry field, hydrate blockage in natural gas pipelines has become a critical issue with an increasing demand of natural gas in the world. In this paper, a hydrate blockage recognition technique has been proposed based on BP neural network, which can recognize leakage in natural gas pipelines as well. A monitoring system has been built for trials, which mainly includes a loudspeaker and a microphone for acoustic signals transmission and reception. This paper mainly introduces wavelet packet theory and BP neural network recognition algorithm for signal analysis and recognition purpose. The reflected signals are analyzed and extracted eigenvectors by using wavelet packet transform, then a three-layer BP neural network is built and trained. Experimental results show that this technique can recognize hydrate blockage and leakage effectively.
Weighted variational regularization image dehazing algorithm based on non-local prior
Authors: Xie Bin , Huang An , Huang Hui 
Published: November 2019

Abstract
In hazy weather conditions, the quality of images taken outdoors will be degraded, so researching image dehazing has great practical significance. Therefore, an image dehazing algorithm based on non-local prior weighted variational regularization is proposed. Since the performance of the image dehazing algorithm depends largely on the accuracy of the estimated transmission, a classical non-local prior algorithm is first adopted to make a rough initial estimate of the transmission. Then a weighted variational regularization model is proposed to further optimize the initial transmission and solve the model by the alternating direction multiplier method. Finally, a haze-free image can be recovered directly from the atmospheric scattering model by using the optimized transmission. The experimental results verify that the proposed algorithm has higher image dehazing performance than several commonly used algorithms.
Research on Image Super-resolution Reconstruction Method Based on Improved SRCNN
Authors: Zhongcai-Huo  , Zhongdong-Wu  , Weifu-Xu  
Published: November 2019

Abstract
Existing image convolutional neural network based on image super-resolution algorithm has a problem of image texture blurred to improve. In this paper, we first analyze the factors of reconstructed image quality, then use the parametric rectified linear unit (PRLU) to solve the problem of over-compression in the original network. And combining the existing network models and image processing algorithms adjusts the parameters of the neural network, The network model of 9-1-5 in Super-Resolution Convolutional Neural Network (SRCNN) is improved to a three-layer model of 5-3-5. The number of convolution cores in the first and second layers is adjusted to 32, and the magnification is increased by four times from three times. Finally, simulation experiments are carried out on DIV2K dataset in NTIRE2017. Experimental results show that the proposed algorithm achieves good super-resolution results, and the subjective visual effect and objective evaluation indices are both improved obviously. The image super-resolution technology has great application demand in the fields of video surveillance, virtual scene restoration and so on. There is still a great research prospect for the image super-resolution technology.
Current status and future prospects of data leakage prevention technology: A brief review
Authors: Xuming Lv , Lina Cao , Peng Ji , Xiao Gao , Shuo Chen 
Published: November 2019

Abstract
With the rapid development of mobile Internet, the application environment of data information is becoming more and more complex. How to prevent the leakage of sensitive data has become an urgent practical problem to be solved in the field of information security. In this situation, data leakage protection (DLP) technology emerges, its aim is to protect sensitive data in all directions and to establish a security protection mechanism covering the whole data life cycle. Starting from the research background and basic concepts of data leakage protection, this paper reviews and summarizes the current research status and development trend of data leakage protection technology.
Super-Resolution Based on Residual Dense Network for Agricultural Image
Authors: Liu Guojiang , Wei Jiangshu , Zhu Yu , Wei Yi 
Published: November 2019

Abstract
With the rapid development of convolutional neural network in image processing, its image processing performance is becoming more and more outstanding. With the development of agricultural informatization, our demand for effectively accessing to agricultural information is also increasing. For example, greenhouse image monitoring equipment for crops is only in a low level. In this paper, we propose a method to apply image super resolution to the processing of greenhouse monitoring images, and use residual dense network to enhance the learning of global and local features in agricultural images. Therefore, more detailed information can be obtained from the low resolution images. Experiments on the data sets are made from the greenhouse agriculture images, and experimental results show that our method can effectively enhance the quality of agricultural monitoring images. It can better meet the needs of agricultural monitoring.
Navy text data set equalization method based on deep learning
Authors: Yudong Qi , Haiqiang Ding , Jinchao Zhao 
Published: November 2019

Abstract
Traditional unbalanced data sets, such as artificial set processing method, exists in the complicated and poor universality. It is difficult to apply naval uneven text data set processing. Aiming at this problem, this paper proposes a Navy uneven text data processing model based on biRNN. It learns text sequence features through biRNN model. Then it generates text similar to the original to balance text data. Text classification experiments are carried out on original data set and balanced data set respectively. The experimental results show that balancing the original data set based on biRNN method can effectively improve the performance of text classification.
ASIC implementation of Up-sampling Built in 6GS/s-16bit DAC
Authors: Zhu Zehua , Quan Haiyang , Wang Zongmin , Zhang Tieliang , Peng Xinmang 
Published: November 2019

Abstract
This paper presents an interpolation filtering model including four Digital interpolation filters. The interpolation filter circuit can effectively increase the data rate without increasing the input rate of the interface, and realize the up-sampling processing of the external input low-frequency digital signal to meet the high-speed DAC core conversion data requirement.
Single Event Effect Characterization of High Speed Serial JESD204B Data Receiver
Authors: Li Junze , Yue Suge , Chen Maoxin , Song Xiaojing 
Published: November 2019

Abstract
This work proposed and discussed a serial JESD204B data receiver and conducted a single event effect test on it. The test is used to analyzed the Single Event Upset (SEU), single Event Latch-up (SEL) and Single Event Functional Interrupt (SEFI). The purpose of the test is to determine if single event effect caused the chip to crash or increase the on-track error rate. The results show that the circuit has a strong ability to resist Single event effect.
Research and Practice of Image Processing Based on Python
Authors: Guan Yurong , Zhou Fei , Zhou Jing 
Published: November 2019

Abstract
Image is an important means to acquire, express and transmit information. Digital image processing means computer processing of images. In this paper, firstly mainly analyse the application characteristics of Python, focus on the typical functions of image processing PIL library, and then consult the relevant application cases of image processing. Finally, the image processing functions of PIL library are put into practice, which has certain reference and guiding significance for the image processing functions of Python and other platforms. Image processing and graphics processing have always been important fields in the development of computer technology.
A Construction Idea of an Application System Based on Simple Data Table
Authors: Zhou Fei , Guan Yurong , Wang Zhuanli 
Published: November 2019

Abstract
Small databases (transcripts, address books, etc.) have fewer associated services, and the performance requirements of interactivity, concurrent connection and response time are not high. They can display data statically by spreadsheet or HTML pages, and can also construct simple information systems to display data dynamically. This paper discusses the idea of constructing application system based on simple data table, reducing the construction cost of information system and improving the convenience of data migration and maintenance management.
Reform and Practice of Big Data Driven Higher Education Management and Decision
Authors: Chen Shengjun 
Published: November 2019

Abstract
The current period is the period of big data, and the management and decision-making of higher education cannot be separated from the driving of big data. How to better apply big data for the management and decision-making of higher education is a problem that needs to be solved urgently. As an important node in the education system, the field of higher education has naturally become an important area for the use of big data technology. This paper analyzes how big data is effective in higher education from multiple perspectives, and proposes a strategy for higher education development in the context of big data.
Evaluation of a Patent value based on AHP fuzzy comprehensive evaluation method
Authors: Song Yewei , Wen Shimin , Li Weimiao , Yang Luorao , He Yue 
Published: November 2019

Abstract
In order to evaluate the patent value scientifically, objectively and effectively, many factors affecting the patent value are considered in order to make up for the shortcomings of the existing patent evaluation methods. In this paper, the analytic hierarchy process (AHP) (AHP) method is used to establish a comprehensive patent value evaluation index system, and the fuzzy comprehensive evaluation method is used to obtain the final evaluation results, which enriches the existing ideas and methods of patent value evaluation.