bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expanding Clinical Phenotype of TRAPPC12-Related Childhood Encephalopathy: Two Cases and Review of Literature
Authors: Aslanger Ayca Dilruba , Demiral Emine , Sonmez-Sahin Seyma , Guler Serhat , Goncu Beyza , Yucesan Emrah , Iscan Akın , Saltik Sema , Yesil Gozde 
Published: May 2020

AbstractBiallelic mutations in the TRAPPC12 gene are responsible for early-onset progressive encephalopathy with brain atrophy and spasticity (PEBAS). To date, three different allelic variants have been reported. Next-generation sequencing allowed discovery of unique alternations in this gene with different phenotypes. We report two patients carrying TRAPPC12 variants, one previously reported and one unknown mutation, with severe neurodevelopmental delay and brain atrophy. Standard clinical examination and cranial imaging studies were performed in these two unrelated patients. In addition, whole-exome sequencing was performed, followed by Sanger sequencing for verification. The first patient, a 2-year-old boy, was found to be homozygous for the previously reported c.1880C > T (p.Ala627Val) mutation. He presented with a phenotype including severe progressive cortical atrophy, moderate cerebellar atrophy, epilepsy, and microcephaly, very similar to the previously reported cases. The second case, a 9-year-old boy, carried a novel homozygous c.679T > G (p.Phe227Val) variant and presented with mild cortical atrophy, severe cerebellar atrophy, and neither clinically manifest epilepsy nor microcephaly, which were previously considered typical findings in PEBAS with TRAPPC12 mutations. Our findings suggest that clinical and brain imaging findings might be more variable than previously anticipated; however, a larger number of observations would benefit for broader phenotypic spectrum.
The roles of attitudes towards learning and opposite sex as a predictor of school engagement: mixed or single gender education?
Authors: Erdoğdu Mustafa Yüksel 
Published: May 2020

AbstractStudents’ attitudes towards learning and their school engagement play important roles on the success of educational programs. Therefore, the main purpose of this research is to examine the roles of attitude towards learning and attitude towards the opposite sex as a predictor of school engagement and to determine the correlation between mixed gender education vs. single gender education and school engagement. Eight hundred and forty-three students (525 females and 318 males) who were studying in single gender or mixed gender schools were included in the research. Data were collected through School Engagement Scale, Attitude Scale towards Learning and Opposite Sex Attitude Scale. The Pearson moment correlation coefficient, multiple regression and stepwise regression were used to analyze the data. Findings showed that attitudes towards learning scores are the most predictive for school engagement. Results also showed that school engagement was higher in single gender schools for girls than in single gender schools for boys and mixed gender schools. The success of the student and the attitude towards the opposite sex were also variables that predict school engagement. The democratic attitude and education levels of parents also had important effects on students’ school engagement. The findings have important implications for educational policy making and curriculum designs. Some general recommendations were made based on the findings.
Models of good teaching practices for mobile learning in higher education
Authors: Romero-Rodríguez José-María , Aznar-Díaz Inmaculada , Hinojo-Lucena Francisco-Javier , Cáceres-Reche María-Pilar 
Published: May 2020

AbstractMobile learning is an emerging teaching methodology in the university system. Every year, the International Horizon Reports highlight the trend of implementing mobile devices in the classroom. Therefore, the Spanish university system presents the current challenge of adapting these resources to improve student learning, in line with the knowledge society in which we are immersed. This requires examples of good teaching practice. The purposes of this paper were to evaluate the mobile learning (m-learning) practices implemented by university teachers and to compile experiences on good teaching practices of m-learning developed in the classroom. A mixed method was used in which the responses of 1125 professors from 59 different universities located throughout Spain were analyzed. The APMU scale developed by the authors was applied for the detection of good teaching practices of m-learning and the structured interview for the collection of concrete experiences of good teaching practices. The results showed that the largest proportion of good teaching practices were concentrated at the University of La Laguna, University of Almeria, University of La Rioja, Camilo José Cela University and University of Seville. Furthermore, three experiences carried out by teachers who were agents of good practice were collected. Based on this, three models of good teaching practices were generated and exemplified through the concept mapping technique. Finally, the main findings and implications of the study are discussed.
Future of the human climate niche
Authors: Xu Chi , Kohler Timothy A. , Lenton Timothy M. , Svenning Jens-Christian , Scheffer Marten 
Published: May 2020

Significance
We show that for thousands of years, humans have concentrated in a surprisingly narrow subset of Earth’s available climates, characterized by mean annual temperatures around ∼13 °C. This distribution likely reflects a human temperature niche related to fundamental constraints. We demonstrate that depending on scenarios of population growth and warming, over the coming 50 y, 1 to 3 billion people are projected to be left outside the climate conditions that have served humanity well over the past 6,000 y. Absent climate mitigation or migration, a substantial part of humanity will be exposed to mean annual temperatures warmer than nearly anywhere today.
Prodrugs of PKC modulators show enhanced HIV latency reversal and an expanded therapeutic window
Authors: Sloane Jack L. , Benner Nancy L. , Keenan Katherine N. , Zang Xiaoyu , Soliman Mohamed S. A. , Wu Xiaomeng , Dimapasoc Melanie , Chun Tae-Wook , Marsden Matthew D. , Zack Jerome A. , Wender Paul A. 
Published: May 2020

Significance
Since the start of the HIV/AIDS epidemic, approximately 32 million people have died from the infection. Although antiretroviral therapy slows disease progression by preventing virus replication, it does not eliminate latently infected cells, which can resupply active virus, necessitating lifelong treatment. Latency-reversing agents (LRAs), such as protein kinase C (PKC) modulators, present a strategy to cure the disease by activating and enabling immunological clearance of latent viral reservoirs. A major challenge with the clinical use of LRAs is sustaining therapeutic levels of the active agent while minimizing side effects. To address this problem, we report prodrugs of PKC modulators for use in HIV eradication. Relative to the parent, select prodrugs show delayed activation and significantly better efficacy and tolerability.
Key comparison BIPM.RI(I)-K7 of the air-kerma standards of the NRC, Canada and the BIPM in mammography x-rays
Authors: Kessler C , Burns D T , Mainegra-Hing E , Shen H , McEwen M R 
Published: May 2020

A key comparison has been made between the air-kerma standards of the NRC and the BIPM in mammography x ray beams. The results show the standards to be in agreement at the level of the combined standard uncertainty of 3.2 parts in 103. The results are analysed and presented in terms of degrees of equivalence, suitable for entry in the BIPM key comparison database.

Main text

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/.
The final report has been peer-reviewed and approved for publication by the CCRI, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Length-dependence of light-induced currents in graphene
Authors: Boolakee Tobias , Heide Christian , Wagner Fabian , Ott Christian , Schlecht Maria , Ristein Jürgen , Weber Heiko B , Hommelhoff Peter 
Published: May 2020

Abstract
We investigate the transport of optically injected currents in graphene, a (semi-) metal with exceptional optical and electronic properties. We have recently shown that ultrashort laser pulses with low temporal symmetry drive coupled intraband motion and interband (Landau–Zener) transitions resulting in residual ballistic currents in graphene. Here we show experimentally how this current scales as a function of the distance between the light-induced current injection region and the adjacent metal contact electrodes and propose an approach to model the results based on diffusive and field driven charge transport. We expect this study to contribute to ongoing discussions on the propagation of light-field-controlled currents, a requirement for future lightwave electronics, operating at petahertz clock rates.
Detail study of application of the relativistic mean-field effective NN forces for heavy-ion fusion within a dynamical model
Authors: Chushnyakova M V , Gontchar I I , Khmyrova N A 
Published: May 2020

Abstract
In the analysis of the heavy-ion above-barrier fusion cross-sections of complex nuclei, the relativistic effects are usually ignored. In the present work, we undertake a step toward accounting for these effects. Namely, the nucleus–nucleus interaction potential is obtained using the double-folding model with six different effective nucleon–nucleon (NN) forces coming from the relativistic mean field (RMF) theory. We also compare our present results with the ones obtained with the non-relativistic M3Y NN-forces. In all calculations, the nuclear densities resulting from the Hartree–Fock approach with the SKX-Skyrme forces accounting for the tensor part are used. Our calculations show that four sets of the considered RMF forces cannot be used for describing heavy ion fusion. Of the remaining two sets, one results in the barriers which are too high not leaving any room for the dissipative effects. Only the potentials calculated using the NL2 NN-forces allow us to reproduce the experimental cross-sections within the framework of the fluctuation–dissipation trajectory model with surface friction with a typical accuracy of 3%–5%. The values of the variable parameter of the model which defines the friction strength resulting from the present calculations are systematically lower than those obtained earlier with the M3Y NN-forces.
Magnetoelastic coupling associated with vacancy ordering and ferrimagnetism in natural pyrrhotite, Fe7S8
Authors: Haines C R S , Lampronti G I , Carpenter M A 
Published: May 2020

Abstract
Magnetoelastic coupling associated with the hexagonal—monoclinic transition in a natural sample of the mineral pyrrhotite, Fe7S8, has been analysed in terms of separate coupling of spontaneous strains with two discrete order parameters, q
v for Fe/vacancy ordering and q
m for magnetic ordering. Coupling of the two order parameters separately with strain gives rise to two terms for coupling between them, λ

q

m

2

q

v

2

and λ

q

m

2

q

v

8

, and a pattern of evolution in which q
v varies continuously and q
m discontinuously through a single transition point. The transition is ferrimagnetic and ferroelastic but the relatively slow relaxation rate for Fe/vacancy ordering, in comparison with magnetic ordering, results in elastic and anelastic properties which are quite different from those observed in other ferroic or multiferroic materials with two instabilities. Instead of classical elastic softening, there is stiffening of the elastic constants which scales with

q

m

2

and

q

v

2

. Instead of the normal pattern of acoustic loss associated with the mobility and subsequent freezing for ferroelastic twin walls, the loss is consistently low throughout the temperature range 300 K–875 K.
Influence of Deposited Material Energy on Superconducting Properties of the WSi Films
Authors: Vasilev D D , Malevannaya E I , Moiseev K M , Zolotov P I , Antipov A V , Vakhtomin Y B , Smirnov K V 
Published: May 2020

Abstract
WSi thin films have the advantages for creating SNSPDs with a large active area or array of detectors on a single substrate due to the amorphous structure. The superconducting properties of ultrathin WSi films substantially depends on their structure and thickness as the NbN films. Scientific groups investigating WSi films mainly focused only on changes of their thickness and the ratio of the components on the substrate at room temperature. This paper presents experiments to determine the effect of the bias potential on the substrate, the temperature of the substrate, and the peak power of pulsed magnetron sputtering, which is the equivalent of ionization, a tungsten target, on the surface resistance and superconducting properties of the WSi ultrathin films. The negative effect of the substrate temperature and the positive effect of the bias potential and the ionization coefficient (peak current) allow one to choose the best WSi films formation mode for SNSPD: substrate temperature 297 K, bias potential -60 V, and peak current 3.5 A.
Features of Au(80)Sn(20) thin film solder manufacturing technology
Authors: Filonenko E M , Fomin A V , Ivanov V V 
Published: May 2020

Abstract
This work provides the results of manufacturing technology development for Au(80)Sn(20) thin film solders produced with electron-beam evaporation coating of alternating gold and tin layers. The phase formation mechanism in the produced solders was studied to work out an evaporation procedure which enables to make a solder with the properties meeting the requirements to soldering of a laser diode onto a heatsink base surface.
Investigation of MoS2ultrathin films formed by physical vapor deposition in vacuum
Authors: Belikov A I , Phyo Kyaw Zin , Syomochkin A I 
Published: May 2020

AbstractThe article presents the optical spectroscopy results of molybdenum disulfide ultrathin films deposited on Si substrates by the methods of direct current (DCMS) and pulsed (PMS) magnetron sputtering MoS2target in vacuum, and also at flow deposition under the influence of external magnetic field on the substrate. Furthermore, the article revues the results of optical bandgap calculation for all samples of MoS2thin films.
Ultrathin film deposition for nanoelectronic device manucturing
Authors: Panfilov Y V , Rodionov I A , Ryzhikov I A , Baburin A S , Moskalev D O , Lotkov E S 
Published: May 2020

Abstract
Study results of thin film with thickness less than 50 nm deposition by means of electron beam evaporation on special vacuum coaters were represented. Calculation results of energy and mass carry magnitude for ITO, Ag and Al thin films deposition with preset of structure and composition homogeneity and roughness were shown.
Development of microfluidic chip manufacturing technology for human sweat analysis
Authors: Sevryugina E A , Sidorova S V 
Published: May 2020

Abstract
A technology for manufacturing a microfluidic chip for analyzing the composition of human sweat is proposed. Microfluidic chips can be made of various materials, and, depending on this, can be made by various methods. The analysis of the materials of the constituent components of the product. Equipment was selected for each operation, modes were selected.
Coupling relationship between transportation and tourism systems—a case study in the Huizhou City, China
Authors: Zeng Jingni , Rong Qiangqiang , Yue Wencong , Dai Xuejun , Su Meirong 
Published: May 2020

Abstract
Coupling relationship between transportation and tourism systems is significant to the sustainable development of regional economy, society and environment. Based on the coupling coordination degree model and scenario analysis method, the coupling relationship between transportation and tourism systems in the Huizhou City was studied in this research. The results showed that during 2014 and 2015, the coupling coordination degree between the two systems in the Huizhou City was at a moderate imbalance level. In terms of the districts and counties in the city, Huicheng District was at a moderate imbalance level, while Huiyang District, Longmen, Boluo and Huidong Counties were at a slight imbalance level. Results from the scenario analysis indicated that in order to improve the coordination between the transportation and tourism systems, decision makers in Huicheng and Huiyang Districts are supposed to increase effort to develop tourism while those in Longmen, Boluo and Huidong Counties are expected to pay more attention to transportation development. This research will help provide a decision-making basis for the urban planning in the Huizhou City. It will also provide a theoretical and methodological support for the other areas with similar concerns.
Mathematical model and simulated power performance of a novel O-type engine
Authors: Chen Guanyu , Zhang Zhengqing 
Published: May 2020

Abstract
Reciprocating engines such as V-type, L-type and W-type engines are used widely in our daily life. However, there is still some room for the improvement of power performance if the configuration of the cylinder and connecting rod system is changed. In this paper, a novel O-type engine is put forward firstly. The structural features of the O-type cylinder sets are described briefly, and then the relevant mathematical model with hypotheses is established to conduct the performance analysis. Secondly, the O-type engine is compared with the general range of power performance of gasoline engine to demonstrate its merits. Then, the power performance indicators, namely the mean indicated pressure (PMI), space occupation efficiency (SOE) and heat efficiency (HE) of the novel engine are analysed and discussed in detail through MATLAB with the verification and validation which are conducted to ensure the reliability of results. And the results show that the power performance of the O-type engine is better than most of gasoline engines; the power performance indicators in the research are not monotonous at different volumes with the bore stroke ratio increasing; the proper range of the volume and the bore stroke ratio is obtained to make the engine achieve a high power performance. All in all, the research is helpful for the development and application of the O-type engine.
The development of artificial intelligence and the response of labor policy
Authors: Pan Xiaodie , Zhong Hongsen 
Published: May 2020

Abstract
With the emergence of big data, information technology, digital technology and artificial intelligence, our society is making great strides towards an artificial intelligence society, and the foundation of economic society has undergone profound changes. Today’s labor policy must not only adapt to the needs of marketization, but also need to respond legally due to the development of science and technology. It should reasonably anticipate the changes in labor relations caused by artificial intelligence, including the norms of digital labor and the status of labor policy of intelligent robots. And the protection of social rights after the replacement of traditional labor. In the era of high-tech being widely used, the rapid development of modern artificial intelligence is gradually spreading from the field of science and technology to the life of the general public. This will have a subversive impact on labor relations. This is also the future of labor The amendment of the Law is an important factor that cannot be ignored.
Application of Markov Chains
Authors: Luo Qianfan 
Published: May 2020

Abstract
This paper introduces the theory of Markov Chains and illustrates the deduction of its transition probability matrix. A mathematical model for the growth of a bacteria colony and a mathematical model of the artificial intelligence in the venous transfusion are built. They are based on Markov chains and accord with the properties of transition matrix. The limitation of the model is discussed. The material is cited from authoritative websites, research done by academic institutions, and scientific essays.
Study on Dissolved Oxygen, Ammonia-nitrogen and Permanganate Index in Water of Lake Dianchi
Authors: Li Lucen 
Published: May 2020

Abstract
The water environment of Lake Dianchi in Yunnan province is threatened by eutrophication, which leads to the decrease of dissolved oxygen in water. Meanwhile, as the index reflecting the pollution of organic and inorganic oxidizable substances in water, permanganate index is also affected. China has been developing the automatic monitoring system for a series of water quality factors, such as dissolved oxygen and permanganate index. Additionally, the monitoring and prediction of ammonia-nitrogen, one of the water eutrophication sources, are also important. This study analyzed the water quality factor data in Lake Dianchi from 2015 to 2018 and implemented the prediction based on the Long Short-Term Memory neural network algorithm. It is found that the water quality of Lake Dianchi will be in a relatively ideal state in the future, but it cannot be improved further by itself. The Kunming government should implement more targeted improvement measures according to the characteristics of water quality factors, such as the seasonality of Lake Dianchi. Those measures will improve the ecological service quality of Lake Dianchi effectively, ensure the daily water safety of people in Kunming, and bring more economic values to the city.
A Non-line-of-Sight Propagation Identification Algorithm in Wireless Sensor Network
Authors: Chu H , Ji P , Lian S , Yang H , Wu R 
Published: May 2020

Abstract
With the rapid developing of communication technology, Wireless Sensor Network(WSN) has been applied in many fields. The accuracy of localization is the vital key to all these applications. In order to mitigate the non-line of-sight(NLOS) influence, we propose a propagation identification algorithm based on Anderson-Darling(AD) test. Firstly, the status of signal is determined by the AD testing. Secondly, the particle swarm optimization algorithm is adopted to estimate the mobile node based on the identification results. Finally, the effectiveness of the algorithm is verified by simulation experiments.
Based on PPI Network and Deep Learning Predicte Protein Function Module Algorithm
Authors: Huo Sicong , Lu Tao 
Published: May 2020

Abstract
The existing Protein protein interaction(PPI) based prediction algorithm for protein functional modules has the disadvantages of low accuracy and less number of functional modules. This paper presents an algorithm based on PPI network and in-depth learning and prediction of protein function module. In this method, three important attributes (node location, PPI network structure and core nodes) are integrated to improve the prediction accuracy and increase the number of protein functional modules. In this paper, First use the Local Density-Based Methods (LDBM) improved density clustering algorithm for clustering analysis. After clustering, use the improved to isometric mapping dimension reduction algorithm for principal component analysis (PPIPCA); then use Multi Layer Perceptron (MLP) for training and function module selection. Last Based on PPI network and deep learning based prediction protein function module algorithm (LPMM) compared with other algorithms. On the basis of yeast dip data set, the accuracy, F value, dimensionality reduction rate and functional module of recognition protein of LPMM algorithm and acc-fmd, MCL and mcode algorithm based on PPI network were compared. Experimental results show that LPMM algorithm is superior to other algorithmsin accuracy, F value, dimensionality reduction rate, number of recognition modules and so on.