bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic classification approach using scalable ensemble of autoencoders to classify data with drift
Authors: Gurina Anastasiya O , Eliseev Vladimir L , Kolpinskiy Sergey V 
Published: December 2021

Abstract
The problem of classification under concept drift conditions is investigated. The importance of anomaly detection is emphasized as a key feature of successful approach to operate with adversarial attacks and data poisoning. An approach to classification in the context of both drift and anomalies is introduced. It is based on ensemble of one-class classifiers, implemented by neural network autoencoders. Numeric parameters and supplementary logic are also supposed to distinguish between different classification cases. The quality of classifiers is estimated by original characteristics (EDCA), which examine both training set area and the area around it. The proposed approach is evaluated on synthetic data to highlight its properties in various conditions including normal, drift, new class and anomaly cases.
Explainable source code authorship attribution algorithm
Authors: Bogdanova Alina , Romanov Vitaly 
Published: December 2021

Abstract
Source Code Authorship Attribution is a problem that is lately studied more often due improvements in Deep Learning techniques. Among existing solutions, two common issues are inability to add new authors without retraining and lack of interpretability. We address both these problem. In our experiments, we were able to correctly classify 75% of authors for diferent programming languages. Additionally, we applied techniques of explainable AI (XAI) and found that our model seems to pay attention to distinctive features of source code.
Development of a model for assessing energy consumption of a system
Authors: Dlamini Gcinizwe , Kruglov Artem , Vasquez Xavier , Pavlov Vyacheslav 
Published: December 2021

Abstract
The recent trends in the ICT industry are related to the development and implementation of green software products and practices. The way to seek for energy efcient solutions starts from the proper and precise assessment of the current state of the system in hand. In this paper we present the software-based approach to the energy efciency assessment. We propose machine learning based approach to estimate energy consumed by a computer system. We evaluated our approach on datasets extracted from systems running on Linux and Windows operating system. Using MSE, MAE and R2 our energy consumption estimation model reached 0.0007, 0.0104, 0.9214, respectively.
Identifying ”good” practices of developers using corrective and preventive actions and their impact on software metrics
Authors: Daniakin Kirill 
Published: December 2021

Abstract
This work presents a literature review, an analysis on how certain actions of software developers impact certain software metrics (such as defect density), and an attempt to highlight good (most efective in terms of software metrics) development practices based on the corrective and preventive actions extracted from the literature. Across multiple relevant studies, defect density was the most used metric, that is why this metric was used to identify the good practices. The most used practices are those that were encountered the most during data extraction from the relevant literature. The extracted actions were categorized using CMMI taxonomy. Overall, 115 unique actions were identifed falling into 53 CMMI taxonomy categories. There were 30 good and the most used practices identifed that fell into 4 CMMI categories.
Development of a mobile system using augmented reality technologies for school and preschool children for training mental arithmetic
Authors: Shiryaev V V , Polovikova O N 
Published: December 2021

Abstract
This paper examines the problem of using augmented reality technologies to teach children of school and preschool age the skills of mental arithmetic. The main features of the development of training systems with augmented reality have been studied. The developed mobile system allows you to get and consolidate the basic skills of mental arithmetic using a set of game levels in the form of a 3D simulator. The application can be used for children with different initial training.
Cloud gaming controls
Authors: Kazakov Andrei 
Published: December 2021

Abstract
With an increasing interest in cloud gaming, streaming services requires different techniques for preprocessing of data coming from users. Such techniques should overcome the problem of delays while transferring data through the network. In this work, we are focusing on sending the correct states of users’ devices (keyboard, mouse, and gamepad) to avoid sticking keys while playing games through our streaming software. We present a simple method that can solve the problem of sticky keys. The evaluation of the proposed approach shows that using this method we can increase the number of successfully registered keys in a server.
Data transfer from satellite to ground station emulator
Authors: Bubnova M A , Baleskin V A , Kosinov A N , Abrameshin D A , Romanov L A , Nikitin B S 
Published: December 2021

Abstract
“Data transfer from satellite to ground station emulator” application has been developed for modelling data transfer between a small spacecraft at low-earth orbit and a control center on Earth. The application takes into account multiple parameters allowing to replace a number of experiments. Additionally, the SGP4 model and models such of parameters such as bit error rate and rain rate attenuation are studied and used in development of the application. Finally, the use cases for the application in education and introduction of school and university students to space-themed projects are considered.
A simulation chain for reflectometry and non-linear MHD: type-I ELM case
Authors: Vicente J. , da Silva F. , Hoelzl M. , Conway G.D. , Heuraux S. 
Published: December 2021

Abstract
A complete chain from a non-linear MHD plasma model simulation through full-wave code simulations implementing synthetic conventional reflectometry is established. For this purpose, the two-dimensional full-wave code REFMUL is employed together with MHD descriptions obtained from the JOREK code. First results of the integrated modeling are presented here where a type-I ELM crash, leading to a fast collapse of the H-mode pedestal, was taken as case-study. The REFMUL simulations were customized to implement synthetic reflectometry in conventional set-up using fixed frequency probing with O-mode waves. Posing challenging conditions for reflectometry, the type-I ELM crash reveals some of the merits and caveats of the diagnostic technique. This work also opens up the possibility to extend modeling to other MHD or ELM studies and provide support to experimental observations with reflectometry.
The trigger and data acquisition system of the FASER experiment
Authors: Abreu H. , Amin Mansour E. , Antel C. , Ariga A. , Ariga T. , Bernlochner F. , Boeckh T. , Boyd J. , Brenner L. , Cadoux F. , Casper D.W. , Cavanagh C. , Chen X. , Coccaro A. , Débieux S. , Dmitrievsky S. , D'Onofrio M. , Dozen C. , Favre Y. , Fellers D. , Feng J.L. , Ferrere D. , Gamberini E. , Galantay E.K. , Gibson S. , Gonzalez-Sevilla S. , Gornushkin Y. , Gwilliam C. , Hsu S.-C. , Hu Z. , Iacobucci G. , Inada T. , Jakobsen S. , Johnson E. , Kajomovitz E. , Kling F. , Kose U. , Kuehn S. , Lefebvre H. , Levinson L. , Li K. , Liu J. , Magliocca C. , McFayden J. , Milanesio M. , Meehan S. , Mladenov D. , Moretti T. , Munker M. , Nakamura M. , Nakano T. , Nessi M. , Neuhaus F. , Nevay L. , Otono H. , Pandini C. , Pang H. , Paolozzi L. , Petersen B. , Pietropaolo F. , Prim M. , Queitsch-Maitland M. , Resnati F. , Rizzi C. , Rokujo H. , Ruiz-Cholis E. , Salfeld-Nebgen J. , Sato O. , Scampoli P. , Schmieden K. , Schott M. , Sfyrla A. , Shively S. , Sipos R. , Spencer J. , Takubo Y. , Tarannum N. , Theiner O. , Torrence E. , Tufanli S. , Vasina S. , Vormwald B. , Wang D. 
Published: December 2021

Abstract
The FASER experiment is a new small and inexpensive experiment that is placed 480 meters downstream of the ATLAS experiment at the CERN LHC. FASER is designed to capture decays of new long-lived particles, produced outside of the ATLAS detector acceptance. These rare particles can decay in the FASER detector together with about 500–1000 Hz of other particles originating from the ATLAS interaction point. A very high efficiency trigger and data acquisition system is required to ensure that the physics events of interest will be recorded. This paper describes the trigger and data acquisition system of the FASER experiment and presents performance results of the system acquired during initial commissioning.
An induced annealing technique for SiPMs neutron radiation damage
Authors: Cordelli M. , Diociaiuti E. , Ferrari A. , Miscetti S. , Müller S. , Pezzullo G. , Sarra I. 
Published: December 2021

Abstract
The use of Silicon Photo-Multipliers (SiPMs) has become popular in the
design of High Energy Physics experimental apparatus with a growing
interest for their application in detector area where a significant
amount of non-ionising dose is delivered. For these devices, the main
effect caused by the neutron fluence is a linear increase of the leakage
current. In this paper, we present a technique that provides a
partial recovery of the neutron damage on SiPMs by means of an
Electrical Induced Annealing. Tests were performed, at the temperature of 20°C, on a sample of
three SiPM arrays (2×3) of 6 mm2 cells with 50 μm
pixel sizes: two from Hamamatsu and one from
SensL. These SiPMs have been exposed to neutrons generated by the Elbe Positron Source facility (Dresden),
up to a total fluence of 8 × 1011 n1
MeV-eq/cm2. Our techniques allowed to reduced the leakage
current of a factor ranging between 15-20 depending on the overbias
used and the SiPM vendor. Because, during the process the
SiPM current can reach O(100 mA), the sensors need to be operated in a condition that
provides thermal dissipation. Indeed, caution must be used when applying this kind of
procedures on the SiPMs, because it may damage permanently the devices themself.
The implications of remittances for agricultural land use and fuelwood collection: evidence from the remaining forested landscapes in the Philippines
Authors: Zhunusova Eliza , Lippe Melvin , Yang Anastasia Lucy , Günter Sven 
Published: December 2021

Abstract
Despite the projected sharpest decline in remittances in history due to the global economic crisis induced by the COVID-19 pandemic, remittances are expected to remain an important source of external financing for many developing countries. The Philippines is among the top five recipients of remittances worldwide, while outmigration is an important livelihood strategy for rural communities in the country due to rapid population growth, poor employment opportunities, and scarce agricultural land. Migration and remittances can influence smallholder land use with potential implications for forest resource use through an impact on household income and household decisions on local activities. However, little attention has been paid in previous research to how remittances relate to changes in rural households’ land use and their implications for forests. The goal of this study is to investigate the links between the inflow of both international and internal remittances and rural households’ land use in forested landscapes in the Philippines. In order to do that, we use the data from 1024 household surveys and an instrumental variable approach to investigate the impact of remittances on fuelwood use and on the area cultivated by perennials and cereals. The findings of this study show that remittances positively influence the size of land planted by perennials and reduce households’ reliance on fuelwood use. Our findings provide an improved understanding of the links between migration—remittances—natural resource management, which will become especially relevant as countries struggle to deal with the economic fallout associated with COVID-19. We argue that demographic policy measures should play a bigger role in land use, land use change, and forestry negotiations than before. Moreover, global sustainability agendas such as the sustainable development goals should recognize the impacts of migration on natural resources to help bridge the gap between developmental and environmental goals.
Analyticity of the energy in an Ising spin glass with correlated disorder
Authors: Nishimori Hidetoshi 
Published: December 2021

Abstract
The average energy of the Ising spin glass is known to have no singularity along a special line in the phase diagram although there exists a critical point on the line. This result on the model with uncorrelated disorder is generalized to the case with correlated disorder. For a class of correlations in disorder that suppress frustration, we show that the average energy in a subspace of the phase diagram is expressed as the expectation value of a local gauge variable of the Z
2 gauge Higgs model, from which we prove that the average energy has no singularity although the subspace is likely to have a phase transition on it. Though it is difficult to obtain an explicit expression of the energy in contrast to the case of uncorrelated disorder, an exact closed-form expression of a physical quantity related to the energy is derived in three dimensions using a duality relation. Identities and inequalities are proved for the specific heat and correlation functions.
Mixed magnetic edge states in graphene quantum dots
Authors: Li Junyao , Liu Xiaofeng , Wan Lingyun , Qin Xinming , Hu Wei , Yang Jinlong 
Published: December 2021

Abstract
Graphene quantum dots (GQDs) exhibit abundant magnetic edge states with promising applications in spintronics. Hexagonal zigzag GQDs possess a ground state with an antiferromagnetic (AFM) inter-edge coupling, followed by a metastable state with ferromagnetic (FM) inter-edge coupling. By analyzing the Hubbard model and performing large-scale spin-polarized density functional theory calculations containing thousands of atoms, we predict a series of new mixed magnetic edge states of GQDs arising from the size effect, namely mix-n, where n is the number of spin arrangement parts at each edge, with parallel spin in the same part and anti-parallel spin between adjacent parts. In particular, we demonstrate that the mix-2 state of bare GQDs (C

6

N
2

) appears when

N
⩾
4

and the mix-3 state appears when

N
⩾
6

, where N is the number of six-membered-ring at each edge, while the mix-2 and mix-3 magnetic states appear in the hydrogenated GQDs with N = 13 and N = 15, respectively.
Building adaptive capacity of smallholder agriculture to climate change: evidence synthesis on learning outcomes
Authors: Silici Laura , Rowe Andy , Suppiramaniam Nanthikesan , Knox Jerry W 
Published: December 2021

Abstract
Increasing climate uncertainty coupled with more frequent extreme events poses a serious threat to the sustainability of smallholder communities dependent on agriculture for their livelihoods. Whilst there is extensive literature on adaptation options, there is a pressing need to understand what interventions have been successful in building smallholder’s adaptive capacity, and how these have been transferred (nationally and internationally) through learning outcomes. The aim of this rapid evidence assessment was to assess the extent to which learning outcomes have supported initiatives to mainstream adaptation, focussing on three key areas, (i) scaling up climate sensitive adaptive interventions, (ii) the role of knowledge management to promote effective adaptive solutions, and (iii) human-ecosystem interactions in climate change adaptation. A protocol for the review was defined, from which 806 sources of evidence were retrieved. After screening for relevance using inclusion criteria, 91 were selected and the salient evidence extracted and synthesised. Access to knowledge remains one of the most important determinants of smallholders’ decisions to respond to climate risk and a critical element in building adaptive capacity. The way knowledge is generated and exchanged is also directly relevant to securing effective scaling-up pathways. Learning platforms through participatory action research, farmer field schools and community-based initiatives were found to be particularly effective. However, knowledge based on local practices alone may be insufficient to prompt transformative action. Bridging local and external knowledge is critical because it widens the smallholders’ knowledge base and encourages ‘proactive’ adaptation alongside more typical ‘reactive’ strategies. The contribution of evidence reviews to provide new insights to inform decision-making and investment in international development and the implications for advocating climate-sensitive policies at national and global levels are discussed.
It Takes a Village
Authors: Hopp Amanda M , Tetzlaff Julie E , Kopidlansky Kyle , Leventaki Vasiliki , Parsons Lauren N , Bone Kathleen , Drendel Holli M , Sreynich Korb , Lyvannak Sam , Heng Sing , Chanpheaktra Ngoun , Putchhat Hour , Khauv Phara , Camitta Bruce M , Jarzembowski Jason A 
Published: December 2021

Abstract

Objectives
Partnerships between low- to middle-income countries (LMICs) and high-income countries (HICs) is one strategy to mitigate observed health disparities. Cambodia’s Angkor Hospital for Children (AHC), an LMIC institution, faces shortages in health care resources, including pathology services. A partnership was created with Children’s Wisconsin (CW), an HIC hospital, including provision of pathology services. We describe our established pathology workflow, examine cases seen in AHC patients, and evaluate the impact of CW’s interpretations.

Methods
AHC provides clinical history and impression and ships samples to CW, which processes the samples, and pathologists provide interpretations, sending reports electronically to AHC. For analysis, final diagnoses were considered “concordant,” “refined,” or “discordant” based on agreement with the clinical impression. Cases were also classified as “did not change management” or “changed management” based on how CW interpretation affected clinical management.

Results
We included 347 specimens (177 malignant, 146 benign, 24 insufficient for diagnosis). Of these cases, 31% were discordant and 44% of cases with clinical follow-up had a change in management with CW interpretation.

Conclusions
Inclusion of pathology services in LMIC-HIC partnerships is crucial for resolving health disparities between the institutions involved. The described partnership and established pathology workflow can be adapted to the needs and resources of many institutions.
Gradual genome size evolution and polyploidy inAlliumfrom the Qinghai–Tibetan Plateau
Authors: Wang Guangyan , Zhou Ning , Chen Qian , Yang Ya , Yang Yongping , Duan Yuanwen 
Published: December 2021

AbstractBackground and AimsGenome size is an important plant trait, with substantial interspecies variation. The mechanisms and selective pressures underlying genome size evolution are important topics in evolutionary biology. There is considerable diversity in Allium from the Qinghai–Tibetan Plateau, where genome size variation and related evolutionary mechanisms are poorly understood.MethodsWe reconstructed the Allium phylogeny using DNA sequences from 71 species. We also estimated genome sizes of 62 species, and determined chromosome numbers in 65 species. We examined the phylogenetic signal associated with genome size variation, and tested how well the data fit different evolutionary models. Correlations between genome size variations and seed mass, altitude and 19 bioclimatic factors were determined.Key ResultsAllium genome sizes differed substantially between species and within diploids, triploids, tetraploids, hexaploids and octaploids. Size per monoploid genome (1Cx) tended to decrease with increasing ploidy levels. Allium polyploids tended to grow at a higher altitude than diploids. The phylogenetic tree was divided into three evolutionary branches. The genomes in Clade I were mostly close to the ancestral genome (18.781 pg) while those in Clades II and III tended to expand and contract, respectively. A weak phylogenetic signal was detected for Allium genome size. Furthermore, significant positive correlations were detected between genome size and seed mass, as well as between genome size and altitude. However, genome size was not correlated with 19 bioclimatic variables.ConclusionsAllium genome size shows gradual evolution, followed by subsequent adaptive radiation. The three well-supported Allium clades are consistent with previous studies. The evolutionary patterns in different Allium clades revealed genome contraction, expansion and relative stasis. The Allium species in Clade II may follow adaptive radiation. The genome contraction in Clade III may be due to DNA loss after polyploidization. Allium genome size might be influenced by selective pressure due to the conditions on the Qinghai–Tibetan Plateau (low temperature, high UV irradiation and abundant phosphate in the soil).
Endonuclease V from the archaeon Thermococcus kodakarensis is an inosine-specific ribonuclease
Authors: Shiraishi Miyako , Hidaka Michihi , Iwai Shigenori 
Published: December 2021

ABSTRACT
Endonuclease V (EndoV) is an inosine-specific endonuclease which is highly conserved in all domains of life: Bacteria, Archaea, and Eukarya; and, therefore, may play an important role in nucleic acid processes. It is currently thought that bacterial EndoVs are involved in DNA repair, while eukaryotic EndoVs are involved in RNA editing based on the differences in substrate preferences. However, the role of EndoV proteins, particularly in the archaeal domain, is still poorly understood. Here, we explored the biochemical properties of EndoV from the hyperthermophilic archaeon Thermococcus kodakarensis (TkoEndoV). We show that TkoEndoV has a strong preference for RNA over DNA. Further, we synthesized 1-methylinosine-containing RNA that is a simple TΨC loop mimic of archaeal tRNA and found that TkoEndoV discriminates between 1-methylinosine and inosine, and selectively acts on inosine. Our findings suggest a potential role of archaeal EndoV in the regulation of inosine-containing RNA.
ADENet: a novel network-based inference method for prediction of drug adverse events
Authors: Yu Zhuohang , Wu Zengrui , Li Weihua , Liu Guixia , Tang Yun 
Published: December 2021

Abstract
Identification of adverse drug events (ADEs) is crucial to reduce human health risks and improve drug safety assessment. With an increasing number of biological and medical data, computational methods such as network-based methods were proposed for ADE prediction with high efficiency and low cost. However, previous network-based methods rely on the topological information of known drug-ADE networks, and hence cannot make predictions for novel compounds without any known ADE. In this study, we introduced chemical substructures to bridge the gap between the drug-ADE network and novel compounds, and developed a novel network-based method named ADENet, which can predict potential ADEs for not only drugs within the drug-ADE network, but also novel compounds outside the network. To show the performance of ADENet, we collected drug-ADE associations from a comprehensive database named MetaADEDB and constructed a series of network-based prediction models. These models obtained high area under the receiver operating characteristic curve values ranging from 0.871 to 0.947 in 10-fold cross-validation. The best model further showed high performance in external validation, which outperformed a previous network-based and a recent deep learning-based method. Using several approved drugs as case studies, we found that 32–54% of the predicted ADEs can be validated by the literature, indicating the practical value of ADENet. Moreover, ADENet is freely available at our web server named NetInfer (http://lmmd.ecust.edu.cn/netinfer). In summary, our method would provide a promising tool for ADE prediction and drug safety assessment in drug discovery and development.