bluuebunny/crossref_metadata_2025_split huggingface dataset:
The structure of the regulatory framework for the assessment of forest resources in Yenisei Siberia and the ways to improve it
Authors: Shevelev S , Vais A , Kulakova N 
Published: September 2019

Abstract
Yenisei Siberia lies within the administrative borders of the Krasnoyarsk Territory, and the republics of Khakassia and Tyva; this helps to link forest inventory standards to specific forest areas. Significant variation in environmental conditions across the Yenisei Siberia is caused by the zonal affiliation of its different parts; they fall into one of the following zones: the near-tundra, taiga, forest-steppe, northern and southern mountain ranges. The variety of environmental conditions has resulted in a variety of forest stands that not only supply timber, but also provide environmental services. Despite the almost century-long history of the existence of standards for the valuation of forest resources in Yenisei Siberia, they cannot be considered as complete and perfect.
Opportunity of external combustion engines usage in forestry complex
Authors: Tihonov E , Bazykin V , Mukhanov N 
Published: September 2019

Abstract
Considered problem of forest industry enterprises energy supply. Are taking in account following: energy communications remoteness, high cost of accessing to energy networks if they are near to logging site. Most of remoteness logging sites are energy supplied by diesel power plants. This situation leads to problems: high price for 1 kW, expenses fuel transportation. Observed possibility of Stirling engine usage in forest industry. First of all – electric generator based on Stirling engine, which allow to use biofuel. Considered possible schemes of Stirling engine usage. Co-generation scheme – secondary heat utilization. Direct generation with different biofuel usage. Defined the range of required Stirling power stations powers for forest industry. Was analyzed Stirling engine kinematic schemes: α, β and γ-type. Are defined more suitable type to use in logging sites - α-type. Air was selected like working body. Were analyzed mail difficulties of Stirling engine construction. The absence of calculation technique and experimental experience are show necessarily of construction parameters and heat-mass transfer analysis. Further issues of investigations were defined: complex and multiparameter numeric modeling of Stirling engine operational process with different power ranges and optimal construction parameters finding out for successful introduction of Stirling engine in forest industry were defined.
The Predictor for Urban Buildings’ Hourly Electricity Consumption
Authors: Shan Shubing , Cao Buyang , Wu Zhiqiang 
Published: September 2019

Abstract
The accurate prediction approach of urban buildings’ electricity consumption is an important foundation for smart urban energy management. It provides the decision basis for electricity deployment at peak times. This paper presents a knowledge graph of urban building electricity consumption called ECKG. It provides an effective way to obtain the influencing factors of buildings’ electricity consumption. In addition, in order to improve the accuracy of prediction, this paper proposes the logarithmic electricity consumption gravity model and error correction model based on data selection. We use 17520 hours’ electricity consumption of a five-star hotel building in Shanghai, China as the study case, and 8 common models as benchmarks to conduct the comparisons. Our approach outperforms all benchmarks in terms of average accuracy.
A Study on Modeling of Effective Series Resistance for Lithium-ion Batteries under Life Cycle Consideration
Authors: Somakettarin N , Pichetjamroen A 
Published: September 2019

Abstract
This paper presents a modeling of effective series resistance for Lithium-ion batteries, which is focusing on the effect of life cycles in aging cells during operations. A computer-based sequential control system is developed to prepare aging cells and automatically characterize the information of testing batteries. Several aspects of testing parameters during the charge and discharge, such as characteristics of the effective series resistance, amplitudes of the pulse current, changes of the increasing resistance, state of charge, capacity and operating cycles, are considered and analyzed to implement in the effective series resistance model. A methodology based on the experiment of pulse tests is applied as sequential steps for modeling the effective series resistance with life cycle consideration. Comparison results between the proposed model and measured values over the life cycle of the battery show the satisfactory verification with the maximum error lower than 4%.
Identifying Malware on Cyber Physical Systems by incorporating Semi-Supervised Approach and Deep Learning
Authors: Sharmeen Shaila , Huda Shamsul , Abawajy Jemal 
Published: September 2019

Abstract
Malicious applications can be a security threat to Cyber-physical systems as the Cyber-physical systems are composed of heterogeneous distributed systems and mostly depends on the internet, ICT services and products. The usage of ICT products and the services gives the opportunity of less expensive data collection, intelligent control and decision systems using automated data mining tools. Cyber-physical systems become exposed to the internet and the public networks as it has integrated to the ICT networks for easy automated options. Cyber-attacks can lead functional failure, blackouts, energy theft, data theft etc. and this will be critical security concern of Cyber-physical systems. At present, the mobile devices are replacing the pc environment and become a key element of Internet of Things. Therefore, it is essential to develop such a malware detection engine that will identify the mobile malware and reduce the spreading of the malicious code through mobile devices. This research work will identify the malware by incorporating semi-supervised approach and deep learning. The original and significant contributions are to propose an effective malware detection model by incorporating semi-supervised approach and deep learning, to implement the model using parallel processing and to evaluate the performance of the model using recent dataset. Here we have used the permission and the API call as the features. The proposed method has been tested on the real mobile malware data set and it shows improvement in accuracy. The Experimental results show that the deep learning along with semi-supervised method will be an effective way to identify the malware and it outperforms other detection methods.
Wind speed forecasting using First Order Markov Transition with Regime Switch and Time Duration
Authors: Elwan A A , Habibuddin H M 
Published: September 2019

Abstract
Due to the dynamic nature of time series, it is common to deploy varying models in predicting behavior of the inherent characteristics in time series. The growing need in nonlinear series prediction and the limitations of linear models in predicting the behaviors of such, lead to the quest of models capable of predicting both dynamic and non-linear behaviors in time series. Markov Regime switching model commonly referred to as the regime switching model is used to forecast wind speed taking into account variation of speed with time. Eviews, a statistical, econometric and economic modelling package is used for the Markov regime switch estimation, simulation and forecasting of A 24-hour period real wind speed data measurement from NREL. Values obtained from forecast accuracy evaluation are Root Mean Squared Error (RMSE) is at 0.242, the Mean Absolute Error (MAE) is 0.17 and the Mean Absolute Percentage Error (MAPE) is 31.38. The statistics showed that the forecast is closely related to the actual values.
Numerical Study for Open Reactor Design Using Salt Hydrate
Authors: Hawwash A A , Mori Shinsuke , Feky Khalid El , Hassan Hamdy 
Published: September 2019

Abstract
There are various methods to store thermal energy from season to season. Because the density of energy storage in thermochemical materials is higher than the latent and sensible heat storage method, the thermochemical heat storage is considered the sufficient type. This paper provides a mathematical model of thermochemical storage process for thermochemical materials; potassium aluminum sulfate 12-hydrate (KAl(SO4)2.12H2O). The software used is COMSOL Multiphysics Modelling Software. The model data is validated and compared with the previous experimental result. Furthermore, the temperature difference and the pressure over the material inside the reactor are investigated. There are seven designs for the bed. However, the inlet and outlet diameter of the bed is changed; there is any change in the volume and height of the bed. The model results present that the rise in entrance area decreases the charging time and rises the pressure drop inside the material. Case 4 is the best design from the charge time.
How well do we forecast the aurora?
Authors: Mooney Michaela K , Forsyth Colin , Marsh Mike , Sharpe Michael , Hughes Teresa , Bingham Suzy , Jackson David 
Published: September 2019

Abstract
Michaela K Mooney and co-authors evaluate a space weather forecast model in the same way that weather forecasts are assessed, work that won the 2019 Rishbeth Prize for best poster.
Industrial strategy and the UK regions: sectorally narrow and spatially blind
Authors: Fothergill Steve , Gore Tony , Wells Peter 
Published: September 2019

Abstract
The UK government’s new Industrial Strategy could have a significant impact on the country’s regions and localities. However, this has received little attention to date. The analysis presented here examines the existing location of the sectors targeted by the first phase of the Industrial Strategy Challenge Fund and the location of the R&D laboratories likely to be first in line for funding. In focusing on an extremely narrow range of sectors, the Fund is likely to have limited impact on the UK’s persistent regional inequalities. The activities eligible for support account for relatively little of manufacturing or the rest of the economy and the basis of this targeting and its potential distributional consequences are spatially blind. As such, it runs the risk of widening regional divides in prosperity.
Prognostic value of right ventricular free wall longitudinal strain in a large cohort of outpatients with left-side heart disease
Authors: Gavazzoni Mara , Badano Luigi P , Vizzardi Enrico , Raddino Riccardo , Genovese Davide , Taramasso Maurizio , Sciatti Edoardo , Palermo Chiara , Metra Marco , Muraru Denisa 
Published: September 2019

Abstract

Aims
Right ventricular free wall longitudinal strain (RVFWLS) has been proposed as an accurate and sensitive measure of right ventricular function that could integrate other conventional parameters such as tricuspid annulus plane systolic excursion (TAPSE) and fractional area change (FAC%). The aim of the present study was to evaluate the relationship between RVFWLS and outcomes in stable asymptomatic outpatients with left-sided structural heart disease.

Methods and results
We enrolled 458 asymptomatic patients with left-side heart diseases and any ejection fraction who were referred for echocardiography to two Italian centres. The composite endpoint of death for any cause and heart failure hospitalization was used as primary outcome of this analysis. After a mean follow-up of 5.4 ± 1.2 years, 145 patients (31%) reached the combined endpoint. Most of echocardiographic parameters were related to outcomes, including right ventricular functional parameters. Mean value of RVFWLS in our cohort was −21 ± 8% and it was significantly related to the combined endpoint and in multivariable Cox-regression model; when tested with other echocardiographic parameters that were significantly related to outcome at univariate analysis, RVFWLS maintained its independent association with outcome (hazard ratio 0.963, 95% confidence interval 0.948–0.978; P = 0.0001). The best cut-off value of RVFWLS to predict outcome was −22% (area under the curve 0.677; P &lt; 0.001; sensitivity 70%; 65% specificity).

Conclusion
RVFWLS may help clinicians to identify patients with left-sided structural heart disease at higher risk for first heart failure hospitalization and death for any cause.
A field guide for the compositional analysis of any-omics data
Authors: Quinn Thomas P , Erb Ionas , Gloor Greg , Notredame Cedric , Richardson Mark F , Crowley Tamsyn M 
Published: September 2019

Abstract

Background
Next-generation sequencing (NGS) has made it possible to determine the sequence and relative abundance of all nucleotides in a biological or environmental sample. A cornerstone of NGS is the quantification of RNA or DNA presence as counts. However, these counts are not counts per se: their magnitude is determined arbitrarily by the sequencing depth, not by the input material. Consequently, counts must undergo normalization prior to use. Conventional normalization methods require a set of assumptions: they assume that the majority of features are unchanged and that all environments under study have the same carrying capacity for nucleotide synthesis. These assumptions are often untestable and may not hold when heterogeneous samples are compared.

Results
Methods developed within the field of compositional data analysis offer a general solution that is assumption-free and valid for all data. Herein, we synthesize the extant literature to provide a concise guide on how to apply compositional data analysis to NGS count data.

Conclusions
In highlighting the limitations of total library size, effective library size, and spike-in normalizations, we propose the log-ratio transformation as a general solution to answer the question, “Relative to some important activity of the cell, what is changing?”
Chromosome-level assembly of the mustache toad genome using third-generation DNA sequencing and Hi-C analysis
Authors: Li Yongxin , Ren Yandong , Zhang Dongru , Jiang Hui , Wang Zhongkai , Li Xueyan , Rao Dingqi 
Published: September 2019

Abstract

Background
The mustache toad, Vibrissaphora ailaonica, is endemic to China and belongs to the Megophryidae family. Like other mustache toad species, V. ailaonica males temporarily develop keratinized nuptial spines on their upper jaw during each breeding season, which fall off at the end of the breeding season. This feature is likely result of the reversal of sexual dimorphism in body size, with males being larger than females. A high-quality reference genome for the mustache toad would be invaluable to investigate the genetic mechanism underlying these repeatedly developing keratinized spines.

Findings
To construct the mustache toad genome, we generated 225 Gb of short reads and 277 Gb of long reads using Illumina and Pacific Biosciences (PacBio) sequencing technologies, respectively. Sequencing data were assembled into a 3.53-Gb genome assembly, with a contig N50 length of 821 kb. We also used high-throughput chromosome conformation capture (Hi-C) technology to identify contacts between contigs, then assembled contigs into scaffolds and assembled a genome with 13 chromosomes and a scaffold N50 length of 412.42 Mb. Based on the 26,227 protein-coding genes annotated in the genome, we analyzed phylogenetic relationships between the mustache toad and other chordate species. The mustache toad has a relatively higher evolutionary rate and separated from a common ancestor of the marine toad, bullfrog, and Tibetan frog 206.1 million years ago. Furthermore, we identified 201 expanded gene families in the mustache toad, which were mainly enriched in immune pathway, keratin filament, and metabolic processes.

Conclusions
Using Illumina, PacBio, and Hi-C technologies, we constructed the first high-quality chromosome-level mustache toad genome. This work not only offers a valuable reference genome for functional studies of mustache toad traits but also provides important chromosomal information for wider genome comparisons.
Cold numbers: Superconducting supercomputers and presumptive anomaly
Authors: De Liso Nicola , Filatrella Giovanni , Gagliardi Dimitri , Napoli Claudia 
Published: September 2019

AbstractIn February 2014 Time magazine announced to the world that the first quantum computer had been put in use. One key component of this computer is the “Josephson-junction,” a superconducting device, based on completely different scientific and technological principles with respect to semiconductors. The origin of superconductors dates back to the 1960s, to a large-scale 20-year long IBM project aimed at building ultrafast computers. We present a detailed study of the relationship between Science and Technology making use of the theoretical tools of presumptive anomaly and technological paradigms: superconductors were developed while the semiconductors revolution was in full swing. We adopt a historiographical approach—using a snowballing technique to sift through the relevant literature from various epistemological domains and technical publications—to extract theoretically robust insights from a narrative which concerns great scientific advancements, technological leaps forward and business-driven innovation. The study we present shows how technological advancements, business dynamics, and policy intertwine.
Absorptive capacity in a two-sector neo-Schumpeterian model: a new role for innovation policy
Authors: Almudi Isabel , Fatas-Villafranca Francisco , Fernández-Márquez Carlos M , Potts Jason , Vazquez Francisco J 
Published: September 2019

AbstractWe propose a new co-evolutionary computational two-sector approach to the design of national innovation policy that recognizes the importance of intersectoral absorptive capacity constraints in innovation linkages between sectors in an economy. We show how the innovative capacity of an upstream producer sector can be constrained by the absorptive capacity of the downstream-user sector. This suggests that the low productivity performance of modern innovation policy might in part be understood as a consequence of sectorally unbalanced knowledge evolution, where the problem lies in underinvestment in innovative capabilities in the downstream sector. Our computational two-sector model suggests an important role for innovation policy to create a balanced, sectorally targeted approach.
International cooperation in merger control in Japan
Authors: Tahira Megumi , Arai Koki 
Published: September 2019

Abstract
This article discusses international cooperation in merger control enforcement under competition law. It describes the framework of merger control in Japan, recent developments in international agreements, merger cases involving international cooperation and the relevant governing authorities’ standard process, including waiver considerations. This article offers three contributions. First, it comments on international cooperation in merger control, including the necessity of confidentiality waivers. Second, it provides basic information for assessing the appropriateness and transparency of merger control policies. Finally, it encourages cooperation between young and advanced competition authorities. The article’s deep understanding of merger activity is based on a detailed analysis of the Japan Fair Trade Commission’s guidelines for international cooperation in merger control.
Technical note: novel delivery methods for an enterotoxigenic Escherichia coli infection model in MUC4-locus sequenced weaner pigs1
Authors: Sterndale Samantha O , Miller David W , Mansfield Josie P , Kim Jae C , O’Dea Mark , Pluske John R 
Published: September 2019

Abstract
An infection model with enterotoxigenic Escherichia coli (ETEC) harboring the F4 fimbriae can be used to assess the impacts that various challenges associated with weaning (e.g., dietary, psychological, environmental) have on the expression of postweaning diarrhea. The objective of this study was to develop a novel inoculation method for administering an ETEC culture that would induce a higher proportion of ETEC-F4 diarrhea, in pigs that genetically showed ETEC-F4 susceptibility or resistance. The study was designed as a factorial arrangement of treatments with the factors being 1) partially susceptible or resistant to ETEC-F4 based on genetic testing, and 2) 4 challenge treatments, being a) a conventional liquid broth method using a drenching gun [Positive control (PC)], b) a Syringe method, c) a Capsule method, and d) Negative control [pigs not challenged (NC)]. At 21 ± 3 d of age (mean ± SEM), 48 male castrate pigs (Large White × Landrace) weighing approximately 7.0 ± 1.18 kg were allocated to 4 treatment groups in 2 replicate pens (6 pigs per pen). Initial ETEC-F4 susceptibility was based on a DNA marker test and each treatment group had 9 partially susceptible and 3 resistant pigs. On days 7 and 8 after weaning, pigs were challenged with ETEC (serotype O149:K88; toxins LT1, ST1, ST2, and EAST). On each inoculation day the PC pigs were orally dosed with 9 mL 7.12 × 109 colony-forming unit (CFU), the Syringe pigs with 0.8 mL 6.72 × 109 CFU, the Capsule pigs were orally administered 2 capsules containing 0.8 mL 3.28 × 109 CFU, and the NC pigs 1 mL of phosphate-buffered saline (PBS) solution. Approximately 72 h after infection, 44, 22, 78, and 0% of partially susceptible pigs in the PC, the Syringe, the Capsule, and the NC group had developed ETEC-F4 diarrhea (P = 0.007). Partially susceptible pigs had a higher diarrhea index (DI) compared to resistant pigs (31.5 vs. 4.8, P < 0.001). The NC group had a lower DI compared to the PC and Capsule pigs (3.9, 38.1, and 40.3, respectively, P < 0.005). Following infection, genetically resistant pigs in the Capsule group had a DI of zero and the partially susceptible pigs had a DI of 55.6 (P = 0.014). This study showed that genetically screening pigs and using a Capsule to deliver ETEC-F4 can increase cases of diarrhea and the efficiency of the challenge model. Taken together, these methods have the potential to reduce the number of pigs needed in future experimental infection studies.
Rare Primary Embryonal Carcinoma in the Brachial Plexus: A Case Report and Literature Review
Authors: Chen Huihao , Yin Gang , Cui Na , Lin Haodong 
Published: September 2019

Abstract

BACKGROUND AND IMPORTANCE
Primary tumors of the brachial plexus are rare. Most are benign and characterized as Schwannoma and neurofibroma, whereas malignant peripheral nerve sheath tumors are less common. Here, we report a rare case of primary embryonal carcinoma in the brachial plexus.

CLINICAL PRESENTATION
A 17-yr-old male presented with a 3-mo history of a mass growing in the left supraclavicular region over the middle part of the clavicle. Magnetic resonance imaging revealed a well-defined mass (diameter 2.5 cm) straddling the brachial plexus. After surgical resection, and the mass was histologically confirmed to be an embryonal carcinoma.

CONCLUSION
Primary embryonal carcinoma in the brachial plexus has not been reported previously. This case highlights the importance of considering the possibility that some primary brachial plexus tumors may be malignant and should be treated promptly.