bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Functionality Testing Method Based on Exploratory Testing for Android Mobile Apps
Authors: Yu Jiujiu , Zhang Jishan , Wu Ning , Mei Yingying , Zhang Deqing , Zhu Lili , Zhu Canglu , Zhu Shaomin 
Published: April 2021

Abstract
The research is based on the characteristics of mobile Applications (Apps), taking an Android mobile App of a small examination system as an application case, this study is devoted to exploring a feasible functionality testing method based on exploratory testing for Android mobile Apps, which includes fundamental functionality logic verification, Graphical User Interface (GUI) automated testing, and special testing. Furthermore, further work is put forward to apply this functionality testing method to IOS mobile Apps, adding new test items for mobile Apps and improving the method of depth-first search for control traversal in GUI automated testing.
Software Supportability Analysis
Authors: Zhang Wei , Jin Dahai , Chen Bo , Zhao Meng , Bi Jianquan 
Published: April 2021

Abstract
In order to improve the support ability of software, we must consider the supportability of software in every stage of the whole life cycle of software, and software supportability analysis is an important means and the basis for realizing the goal of software support. It is also an important support to ensure and reduce the cost of software. This paper introduces the task, characteristics and influencing factors of software supportability analysis, and analyzes the supportability of each stage of software life cycle.
GAN-based Wireless Channel Recognition Enhancement in Aerospace Communication System
Authors: Wang Yubo , Zhang Luyong , Cui Jin’ao 
Published: April 2021

Abstract
In the field of communications, wireless channel identification is of great significance for spectrum identification and spectrum resource scheduling, and is an indispensable link in cognitive radio technology. However, the poorness of the aerospace data set will affect the recognition accuracy. This paper studies the application of neural network in aerospace communication wireless channel recognition scenarios. Then, we propose a sample set expansion method based on GAN (Generative Adversarial Networks) to enhance the cognitive ability of neural network. Finally, we compare the accuracy of the channel recognition model before and after the data set expansion. The results show that in the case of small sample data sets, the use of GAN-based data expansion method helps to improve the accuracy of the channel recognition model.
The Design Assurance Method of Reused Airborne Software
Authors: Xu J F 
Published: April 2021

Abstract
Reusing software data from different sources and different reuse methods will affect the full compliance of civil aircraft airborne software. To achieve cost and risk reduction in reused software project, firstly classification of reused airborne software is confirmed and assessment elements are recognized; secondly the assessment framework of software reuse is established and assessment activities and sequences are specified; lastly the reused software design assurance requirements are given from the perspective of certification. This study can provide support for stakeholders of reused software certification to recognize and assess reused software and generate certification strategy in the early stage of project.
Exploration of Internet Hospital Information System Based on Information Integration Platform
Authors: Xia Xianyu 
Published: April 2021

Abstract
During the construction of the hospital information system, because the medical and health information itself is relatively complex, coupled with the large differences in the business needs of different departments of the hospital, the application of the information system will become more complicated. The increasing demand for information in hospitals and the increasing number of subsystems have had a certain impact on improving the level of information construction in hospitals. Therefore, China needs to strengthen the integrated management of hospital data and information. The use of information system integration platforms to build mobile Internet hospitals can promote the modern development of Chinese hospitals. In the application process of the hospital information system integration platform, relevant staff need to research and analyze the application of the information system integration platform. At the same time, relevant researchers need to explore the actual content of the Internet hospital construction process, improve the level of Internet hospital construction, and promote the long-term development of Chinese hospitals.
Design of fuzzing test tool based on WIA-PA protocol
Authors: Xie Haofei , Wang Zhihui , Yang Deng Xin 
Published: April 2021

Abstract
To solve the problem that the existing fuzzing test tools can not directly test the WIA-PA protocol stack, this paper adds the fuzzing test function of WIA-PA protocol on the basis of the WIA-PA protocol conformance test platform, and integrated it into the conformance test platform in the form of a tool. The essence of fuzzing test for WIA-PA protocol is to test specific functions represented by different command identifiers. The test tool designed in this paper is used to carry out fuzzing test on the WIA-PA protocol stack which has passed the protocol conformance test. The test results show that the test tool designed in this paper has a certain ability of vulnerability detection.
Satellite-to-ground communication decision system based on knowledge graph
Authors: Cai Guojian , Zhang Luyong 
Published: April 2021

Abstract
The knowledge graph relies on the powerful knowledge aggregation ability to bring new space for progress to the satellite-to-ground communication decision-making system, and it performs better in accuracy, debugging, scalability and decoupling. Then, based on the user-based collaborative filtering algorithm, a collaborative filtering algorithm fused with path loss is proposed. Based on the path loss formula for the free propagation of radio waves, the similarity factor is derived, and the similarity calculation formula more in line with satellite-to-ground communication is obtained. Through the simulation results, it can be seen that the improved algorithm has improved accuracy and recall rate, resulting in more satisfactory recommendation results.
Orbital Photogrammetry of Selected Relief Elements with Evidences of Geological Activity in Aitken Crater on the Far Side of the Moon
Authors: Shpekin M I , Salimov R R , Semenov A A 
Published: April 2021

Abstract
Achievements in the field of lunar research over the past 10-15 years have brought a lot of important information about the Moon and its interior. In particular, a high-resolution orbital survey performed from low lunar orbit by the Lunar Reconnaissance Orbiter (LRO) station has revealed details of the structure of impact craters, which were not even suspected before. For example, rivers and non-frozen lakes of molten lunar soil in the area of Tycho crater. Another impressive example is the glacier-like tongues of lunar rocks flowing from the central peaks of young impact craters. Or the unexpectedly high frequency of meteorite impacts on the lunar surface. Results of this kind can significantly affect future plans for the exploration of the Moon by automatic weapons and expeditions with a crew. They can also make a noticeable contribution to fundamental research. In this work, using a specific example of the Aitken crater, the possibilities of studying the relief in young impact craters based on photogrammetric processing of orbital images of the lunar surface are shown. The problems of a computational nature in the creation of 3D-models of the lunar relief and their referencing to the selenocentric coordinate system are also considered.
Biological Monitoring Experience of a Natural and Anthropogenic Ecosystems Ecological Stability on the «Spasskoye-Lutovinovo» Reserve Territory with Central Forest-Steppe Gray Forest Soils
Authors: Yakovleva E V 
Published: April 2021

Abstract
Presently, a large volume of anthropogenic heavy metals enters the biosphere, a significant part of which is accumulated in the soil. To predict the environmental hazard of heavy metal contamination, it is necessary to know not only the extent of their flow but also the patterns of their behavior in various soil and geochemical conditions. The source of numerous pollutants: dust, poisonous substances, heavy metals, etc., are manufacturing industry dumps, exhaust gases of vehicles, residues of oil products (gas stations), mineral fertilizers, meliorants, pesticides, the effects of heavy agricultural equipment on the density and structure of the soil. Their accumulation in the environment leads to a disruption of ecological equilibrium, which along the chain can spread to sizable territories. Industrial centers are especially marked by soil pollution.
Innovative International Industrial Clusters as a Factor of Developing High-Tech Industry in the Eurasian Economic Union
Authors: Mozgovoy A I , Krylov A N , Lobachev V V , Kuzina G P , Kovaleva I A 
Published: April 2021

Abstract
The paper continues the authors’ previous research on the development of high-tech industry in the Eurasian Economic Union (Issues Relating to the Hi-Tech Industry in the Eurasian Economic Union), in which the main features, problems, and ways of development of high-tech bionanoindustry have been determined and the further research areas formulated. In this study, the methodical form of solving previously identified bionanoindustry issues is creating innovative international bionanotechnology (industrial) clusters, including the arrangement of foresight centers within them to ensure convergence of technologies and foresight research and projects in the field of bio- and nanotechnology. To achieve the goal set in the study, a conceptual organizational model of an innovative international bionanotechnology cluster of the Eurasian Economic Union has been developed, the need for creating a foresight center as part of innovative international bionanotechnology clusters justified, and guidelines for its formation and estimation of efficiency elaborated. The further research area is improving the state cluster policy to develop high-tech complexes and scientific justification of creating engineering infrastructure within the innovative international bionanotechnology clusters, including the arrangement of engineering centers within them to provide various engineering services to small and medium-sized innovation enterprises forming the cluster, the performance of joint research and development, the acceleration of transferring technologies to large-scale production, and training staff qualified in bio-nano-oriented engineering.
Agro-Industrial Complex of the Arctic of Yakutia: Features of Development and Prospects
Authors: Rodnina N V 
Published: April 2021

Abstract
The Doctrine of Food Security of Russia determines the need for regions to ramp-up production. The ritual food of the nationalities living in the North is predominantly food of animal origin (up to 97% fat and up to 78% protein). Since senile industries are the main source and supplier of animal products in the Arctic, their development determines the food supply of the population not only in the Arctic zone, but also throughout Yakutia. The Arctic has significant natural resources, for this reason it is sometimes considered only from the perspective of obtaining economic benefits. There is another category of scientists who view it as an unspoiled and sensitive area, insisting on the need to limit industrial development in the region. Against the increasing of its geopolitical and economic importance, the underlying problem of the Arctic region development is being formed [1]. The article defines the role of Arctic agro-industrial complex senile industries in the food facility system and the economy of Yakutia. The purpose of the article is to assess the current state of the agro-industrial complex of the Arctic in Yakutia and, on its basis, to develop methodological approaches to address the problem. The relevance of the article is stemmed from the need to increase food self-production level of the region in accordance with the Doctrine of Food Security of Russia, from the position to preserve the agro-industrial complex senile industry of the Arctic in Yakutia and their development. The article novelty is to determine promising measures contributing to the development of the agro-industrial complex senile industry and to orient on increasing food self-production level.
The Improvement on the Efficiency of Photovoltaic Module using Water Cooling
Authors: Bin Wan Abdullah Wan Ariff Fadhil , Ping Chew Sue , Binti Radzuan Razanah Nabila , Binti Mokhtar Anis Shahida Niza 
Published: April 2021

Abstract
This study denotes an effective design for thermal regulating by integrating the water-cooling system on photovoltaic (PV) panel. The efficiency of the PV module will reduce the increasing temperature on the panel. Thus, the focus of this study is to improve the efficiency of the PV module by maintaining a low operating temperature. A modification on the rear part of the PV panel is executed by integrating the water-cooling system by using copper pipe. This study is conducted to compare the effects of the PV panel when it is tested in different circumstances, such as with and without water-cooling system as well as a variation of water flow rates at constant solar irradiance. Comparative analyses are performed by conducting I-V and P-V curve as well as temperature test where both tests take these different conditions into account. The study exhibits that the utilisation of water-cooling system will result to a reduced rear temperature of the PV panel. The efficiency of the PV panel has also experienced an increase of 3% for 300 l/h flow rates compared to the one without water-cooling system. The increase of flow rates of the water-cooling system will reduce the rear temperature of the PV panel. In other words, a more massive reduction of temperature on the PV panel with 16°C is detected when the water-cooling system is utilised up to 300 l/h flow rates in 60 minutes duration at 350 W/m2 solar irradiance.
Recovery of the Solar Irradiance Data using Artificial Neural Network
Authors: Ho Kah-Ching , Lim Boon-Han , Lai An-Chow 
Published: April 2021

Abstract
Global solar irradiance (GHI) data plays a major role in the design, performance assessment, and monitoring of a solar energy conversion system. However, data loss happens sometimes due to various reasons. Hence, it is important to recover the lost data. Unfortunately, due to the high cost of measurement devices, other meteorological parameters are often not available to aid the data recovery. Nevertheless, a photovoltaic (PV) system could be installed nearby the site which the output power is recorded. This paper explored the capability of using output power from a PV panel to predict the lost or unavailable GHI data in the past via the Artificial Neural Network (ANN) technique. 1 day, 10 days, and 30 days of GHI data, time, and output power of a solar panel in July 2020 were used to train three ANN models. The ANN models were then used to predict one day and thirty days GHI data in July 2019 based on the PV output power of that period. The result shows that the ANN model with a higher number of training data can predict the GHI data with lower statistical errors. The results prove that PV output power can be used to recover the unavailable GHI data in the past with acceptable accuracy. This technique is useful for the industry to recover the historical time series of GHI for designing a new renewable energy project or assessing the past performance of a renewable energy project.
Comparative Phosphorus Removal Efficiency from Municipal Wastewater Using Acid Mine Drainage Sludge and Its H2O2 Activated form As Adsorbents
Authors: Yulianto Irene , Moersidik Setyo Sarwanto , Amanda Nova 
Published: April 2021

Abstract
Acid mine drainage (AMD) sludge is by-product from AMD treatment that formed by iron deposition. This sludge has a potential to be used as an active adsorbent to remove phosphate from domestic wastewater. The adsorbent that was used in this research is AMD sludge from PT Bukit Asam Tbk., Tanjung Enim that majorly composed of Si, Fe and Al compound (determined by the XRD test). Phosphate adsorption was done by AMD sludge and MD sludge that was activated by hydrogen peroxide. Activation process by hydrogen peroxide affected the chemical and physic characteristic of sludge and it showed from the results that the concentration of Si, Fe and Al were shifted by 7.33%, 7.03%, and 1.49%, respectively. Meanwhile for the physical characteristic; specific surface area, pore volume, and pore size were shifted by 19.51 m2/g, 0.0635 cm3/g, and 142.694 nm, respectively. Phosphate removal by AMD sludge has a greater result than activated sludge. Adsorption capacity of AMD sludge was well described by Freundlich isotherm model, which is equal to 6.358 mg P/g. Meanwhile, adsorption capacity of activated sludge was well described by Langmuir isotherm model, which is equal to 0.48 mg P/g. Results in this study indicated that the activation process with hydrogen peroxide affects the ability of phosphate adsorption that was showed by the difference of removal percentage.
Why Publishing Now?
Authors: Micir Melanie 
Published: April 2021

Abstract
This essay is a response to the eight essays collected under the title “Literature and Publishing, 1945–2020.” In this response, I consider the timing of such a collection: Why publishing now? Why should we be reimagining literary history through the lens of publishing at this particular moment? I suggest that we can only fully grapple with the relationship between literary studies and publishing in the present moment by attending to the relationship between literary studies and the university. In the midst of twin labor crises inflected and exacerbated by questions of race, class, and gender, we must recognize the parallel conditions of those working in publishing and those working in higher education. This project’s timely interest in the institutions that shape the contemporary literary field—publishers, agencies, distributors, prizes, etc.—comes as our toehold on our own institutions (that is, the endurance and relative autonomy of university literature departments) seems increasingly tenuous.
Utilizing graph machine learning within drug discovery and development
Authors: Gaudelet Thomas , Day Ben , Jamasb Arian R , Soman Jyothish , Regep Cristian , Liu Gertrude , Hayter Jeremy B R , Vickers Richard , Roberts Charles , Tang Jian , Roblin David , Blundell Tom L , Bronstein Michael M , Taylor-King Jake P 
Published: April 2021

AbstractGraph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional relationships between them, and integrate multi-omic datasets — amongst other data types. Herein, we present a multidisciplinary academic-industrial review of the topic within the context of drug discovery and development. After introducing key terms and modelling approaches, we move chronologically through the drug development pipeline to identify and summarize work incorporating: target identification, design of small molecules and biologics, and drug repurposing. Whilst the field is still emerging, key milestones including repurposed drugs entering in vivo studies, suggest GML will become a modelling framework of choice within biomedical machine learning.
ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes
Authors: Liu Shuhui , Zhang Yupei , Shang Xuequn , Zhang Zhaolei 
Published: April 2021

AbstractDifferent subtypes of the same cancer often show distinct genomic signatures and require targeted treatments. The differences at the cellular and molecular levels of tumor microenvironment in different cancer subtypes have significant effects on tumor pathogenesis and prognostic outcomes. Although there have been significant researches on the prognostic association of tumor infiltrating lymphocytes in selected histological subtypes, few investigations have systemically reported the prognostic impacts of immune cells in molecular subtypes, as quantified by machine learning approaches on multi-omics datasets. This paper describes a new computational framework, ProTICS, to quantify the differences in the proportion of immune cells in tumor microenvironment and estimate their prognostic effects in different subtypes. First, we stratified patients into molecular subtypes based on gene expression and methylation profiles by applying nonnegative tensor factorization technique. Then we quantified the proportion of cell types in each specimen using an mRNA-based deconvolution method. For tumors in each subtype, we estimated the prognostic effects of immune cell types by applying Cox proportional hazard regression. At the molecular level, we also predicted the prognosis of signature genes for each subtype. Finally, we benchmarked the performance of ProTICS on three TCGA datasets and another independent METABRIC dataset. ProTICS successfully stratified tumors into different molecular subtypes manifested by distinct overall survival. Furthermore, the different immune cell types showed distinct prognostic patterns with respect to molecular subtypes. This study provides new insights into the prognostic association between immune cells and molecular subtypes, showing the utility of immune cells as potential prognostic markers. Availability: R code is available at https://github.com/liu-shuhui/ProTICS
Outcomes after breast-conserving surgery or mastectomy in patients with triple-negative breast cancer: meta-analysis
Authors: Fancellu A , Houssami N , Sanna V , Porcu A , Ninniri C , Marinovich M L 
Published: April 2021

Abstract

Background
In patients with triple-negative breast cancer (TNBC), oncological and survival outcomes based on locoregional treatment are poorly understood. In particular, the safety of breast-conserving surgery (BCS) for TNBC has been questioned.

Methods
A meta-analysis was performed to evaluate locoregional recurrence (LRR), distant metastasis (DM), and overall survival (OS) rates in patients with TNBC who had breast-conserving surgery versus mastectomy. Estimates were pooled in random-effects analysis. The effect of study-level co-variables was assessed by univariable metaregression.

Results
Fourteen studies, including 19 819 patients operated for TNBC met the inclusion criteria; 9828 patients (49.6 per cent) underwent BCS and 9991 (50.4 per cent) had a mastectomy. Patients with smaller tumours were more likely to be selected for BCS (pooled odds ratio (OR) for T1 tumours 1.95, 95 per cent c.i. 1.64 to 2.32; P &lt; 0.001). The pooled OR for LRR was 0.64 (0.48 to 0.85; P = 0.002), indicating a statistically significantly lower odds of LRR among women who had BCS relative to mastectomy. The pooled OR for DM was 0.70 (0.53 to 0.94; P = 0.02), indicating a lower odds of DM among women who had BCS; however, this difference diminished with increasing study-level age and follow-up time. A pooled hazard ratio of 0.78 (0.69 to 0.89; P &lt; 0.001) showed a significantly lower hazard for all-cause mortality among women undergoing BCS versus mastectomy.

Conclusion
These results should be interpreted cautiously owing to likely differences in selection for BCS or mastectomy in the included studies. Patients with TNBC selected for BCS do not, however, have a worse prognosis than those treated with mastectomy, and breast conservation can be offered when feasible clinically.