Miracle-dz/UniFAR-FTUs huggingface dataset:
Soft-Sensor for f-CaO in Cement Clinker Calcination Process Based on LS-SVM

Aiming at the difficulty in measuring the content of f-CaO in cement clinker,a soft-sensor modeling is presented based on least squares support vector machine(LS-SVM),and a realization scheme is given.Study of simulation experiment shows that the LS-SVM has good learning and generalization capability,and less dependence on sample set.The soft-sensor scheme is based on DCS and SQL database programmed by Visual C++6.0. This scheme accords with the actual situation of the domestic cement plant,and it is easy to realize.The soft-sensor modeling and realization scheme are of important significances for ensuring the quality of cement clinker and realizing optimal control of the whole kiln systems.
Research on UAV Target Tracking based on Deep Reinforcement Learning

— As the battlefield environment becomes more and more complex, it is of great significance to study the game process of UAV to understand battlefield behavior. Therefore, the search for a UAV movement strategy has become the focus of research. In addition to the traditional strategy, deep reinforcement learning as a decision algorithm with self-learning ability has attracted much attention. In this regard, for the target tracking task of our UAV to the enemy UAV, deep reinforcement learning is used to train the tracking strategy for our UAV. In order to find the most suitable deep reinforcement learning algorithm for UAV target tracking, a target tracking model was established, and the four algorithms were used for training, and the indexes of online training and the results of offline execution were compared. Finally, Dueling Double Deep q-learning and Proximal Policy Optimization achieved the best training effect and completed the target tracking task.
Fault Diagnosis System of Rolling Bearing Based on LabVIEW

A fault diagnosis system of rolling bearing based on LabVIEW is presented according to the research of bearing's running and fault characteristic.The mechanism of rolling bearing failure and the characteristic frequency is analyzed,then the method is proposed taking advantage of the resonance demodulation and Hilbert transformation.The system was used to the analysis of bearing retainer and showed validity and effectiveness to rolling bearing diagnosis.
Relationship Between Money Supply and Asset Prices in Developed Countries

We examine the relationship between money supply and asset prices. In particular, we examine the relationship between the money supply and the equity market in Japan, Switzerland, Singapore, Great Britain, and New Zealand. Since U.S. is the largest economy in the world, we also examine the relationship between U.S. money supply and other assets, namely gold, oil and three subsectors of the U.S. stock market (consumer staples, consumer discretionary and real estate). No long-run relationship is found when the Johansen test for cointegration is applied on the U.S. assets and money supply. Further, there is found no particular evidence that the latter variable is driving the price of these assets. Contrary, we find that the money supply and stock market of Japan, Switzerland, Great Britain and New Zealand are cointegrated during different time periods.
Design of a Synthesizer and a Semantic Analyzer's Multi Arabic, for use in Computer Assisted Teaching

In this paper, we describe a multifunctional electronic dictionary which contain a number of applications that cover the most of linguistic levels (morphology, syntax, semantics.), size and complexity satisfactory, based on the Arabic language, generated and labeled automatically and contains an amount of lexical information at all levels and all aspects of the behavior of words, respecting the proper organization and simple to facilitate its operations
Seasonality of isotopic and chemical composition of snowpack in the vicinity of Jang Bogo Station, East Antarctica

: Seasonal variations of the isotopic and chemical compositions of snowpits can provide useful tools for dating the age of the snowpit and examining the sources of aerosol. Based on the seasonal layers with δD and δ 18 O maxima and minima, it was determined that the snowpit, conducted in the vicinity of the Jang Bogo Station in Antarctica, contained snow deposited over a three-year period (2008–2010). Distinct seasonal variations of stable water isotopes were observed, with a slope of 8.2 from the linear isotopic relationship between oxygen and hydrogen, which indicates that the snow accumulated during three years without a significant post-depositional process. The positive correlations (r > 0.85) between Na + and other ions in the winter period and the positive relationship with the concentrations of the methanesulphonic acid (MSA) and non-sea salt sulfate (nssSO 42– ) in the warm period (r = 0.6, spring to summer) indicate the significant contributions of an oceanic source to the snowpit. Based on principal component analysis, the isotopic and chemical variables were classified into species representing input of sea-salt aerosol and suggesting potential seasonal markers. This study will support further investigations using ice cores in this region.
UNSUPERVISED DETECTION OF ANOMALOUS SOUNDS BASED ON DICTIONARY LEARNING AND AUTOENCODER

The DCASE2020 Challenge Task2 is to develop an unsupervised detection system of anomalous sounds for six types of machine. In this paper, we proposed two methods. One is to use auditory traditional features and dictionary learning (DL) to train a dictionary. Another is to use auditory spectral features and deep learning method to train an autoencoder (AE). Both of our proposed methods achieve an improvement comparing to the baseline system, and better performance can be obtained by using the mixture of two methods. Experiments prove the practi-cability of the proposed methods for anomaly detection.
RAWsiko – Materials around us: A Digital Serious Game to Teach about Raw Materials’ Importance for the Transition towards a Low- Carbon Economy

Today some raw materials (RMs) have become essential in the manufacturing of common goods and technologies we use every day. Readily accessible RMs, such as rare-earth-elements, indium, neodymium, etc., are important to EU industries and allow the transition towards a low-carbon economy. With the future global resource use projected to double by 2030, addressing raw materials through the entire value chain becomes a priority as well as transferring these ideas to youngsters. “RAWsikoMaterials aroud us” is a serious videogame developed in the framework of Raw Matters Ambassadors at Schools, an European project funded by EIT RawMaterials, with the aim to offer teachers an educational tool able to increase student awareness of the current societal challenges for a sustainable innovation by using an innovative approach. RAWsiko is focused on RMs important for the EU economy but at risk of supply, their distribution in the world, their use in the modern technologies and why access to them is pivotal for European economy. The players can experience the complexity of the raw material supply that occurs behind some everyday life devices such as flat screens and lamps, but also behind the equipment for the transition to the renewable energies such as photovoltaic panels and wind turbines. RAWsiko can be a support to teach science, technology, and citizenship in a funny way by involving students from 11 to 19 years old and contributing to disseminate the issues of the European Green Deal and the Sustainable Development Goals of the United Nation Agenda 2030. Such knowledge and awareness among the younger generation is indispensable to secure sustainable success in the European raw materials sector and will help to create a new generation of people sk illed in entrepreneurship and raw materials, and respecting our Earth.
Osa patients vs laryngopharyngeal reflux disease: Non-invasive evaluation with NBI and pepsin detection in tears

The BJBMS publishes an “Advanced online” manuscript format as a free service to authors in order to expedite the dissemination of scientific findings to the research community as soon as possible after acceptance following peer review and corresponding modification (where appropriate). An “Advanced online” manuscript is published online prior to copyediting, formatting for publication and author proofing, but is nonetheless fully citable through its Digital Object Identifier (doi®). Nevertheless, this “Advanced online” version is NOT the final version of the manuscript. When the final version of this paper is published within a definitive issue of the journal with copyediting, full pagination, etc. the new final version will be accessible through the same doi and this "Advanced online" version of the paper will disappear.
SOCIAL ISSUES IN JACQUES LOB’S “SNOWPIERCER”

This study is entitled about social issues between passengers in front sections to tail sections, depicted through the story and characters in this novel. In this study, there are two questions to be answered: The depiction of social issues shown in Jacques Lob's novel Snowpiercer and the individuals involved. The purpose of this study is to look at the many forms of social issues and the persons that are involved in them using numerous characters from the novel. The author applies Michel Foucault's (1977) theory to illustrate how passengers in the front and back sections interact in terms of power. The descriptive technique is used in this study, and extrinsic approaches are used. The findings reveal that there are two distinct forms of power relationships. To begin with, sovereign power is a sort of authority that has total control over all persons in a community. Second, disciplinary authority seeks to establish discipline bodies. The outcome also exposes that certain characters have manipulated information and truth via the use of power relationships.
Offshore platforms as novel ecosystems: A case study from Australia’s Northwest Shelf

Abstract The decommissioning of offshore oil and gas platforms typically involves removing some or all of the associated infrastructure and the consequent destruction of the associated marine ecosystem that has developed over decades. There is increasing evidence of the important ecological role played by offshore platforms. Concepts such as novel ecosystems allow stakeholders to consider the ecological role played by each platform in the decommissioning process. This study focused on the Wandoo field in Northwest Australia as a case study for the application of the novel ecosystem concept to the decommissioning of offshore platforms. Stereo‐baited remote underwater video systems were used to assess the habitat composition and fish communities at Wandoo, as well as two control sites: a sandy one that resembled the Wandoo site pre‐installation, and one characterized by a natural reef as a control for natural hard substrate and vertical relief. We found denser macrobenthos habitat at the Wandoo site than at either of the control sites, which we attributed to the exclusion of seabed trawling around the Wandoo infrastructure. We also found that the demersal and pelagic taxonomic assemblages at Wandoo more closely resemble those at a natural reef than those which would likely have been present pre‐installation, but these assemblages are still unique in a regional context. The demersal assemblage is characterized by reef‐associated species with higher diversity than those at the sand control and natural reef control sites, with the pelagic community characterized by species associated with oil platforms in other regions. These findings suggest that a novel ecosystem has emerged in the Wandoo field. It is likely that many of the novel qualities of this ecosystem would be lost under decommissioning scenarios that involve partial or complete removal. This study provides an example for classifying offshore platforms as novel ecosystems.
Spatiotemporal climate variability in the Andes of northern Peru: Evaluation of gridded datasets to describe cloud forest microclimate and local rainfall

Tropical montane cloud forest may be especially sensitive to climate change. However, our ability to understand effects of climate on montane biodiversity remains limited by the resolution of climate data. We compared 5 years of in situ weather data from cloud forests in northern Peru, regional weather stations, and gridded datasets to examine how climatologies reflect (a) forest microclimate buffering and (b) local rainfall in a sparse data region; we also examined spatiotemporal variability and regional trends. Across a 1,700–3,100 m gradient in which temperature did not covary with relative humidity (RH), in situ data showed interactions between climate and land‐use. Forest humidity buffered warming‐induced evaporative drying across elevations, and inside forest maximum vapour pressure deficit (VPDmax) did not change with elevation, whereas with a 22% reduction in RHmin at stations, VPDmax increased >10‐fold from high to low elevations. Cloud forest dried out on sunny days after 3 days without rain, especially during ENSO‐related drought concurrent with peak solar insolation. Climatologies were twice as precise for temperature as rainfall. Chelsa captured a 3.9°C reduction in maximum temperatures inside forest (MAE 1.6°C, R2 = 0.95) whereas WorldClim reflected drier lapse rates and higher Tmax outside forest. CHIRPS provided the best fit for monthly rainfall (MAE 23 mm, R2 = 48), capturing regional drought but underestimating rainfall >150 mm·month−1. Consistent with stations, CHIRPS showed strong support for regional increases in wet‐season rainfall. Reduced variability and more regular dry seasons were only detected by montane stations, especially south of 6°S, where rainfall seasonality shifted to earlier wet‐season peaks and reduced dry‐season rainfall as part of a transition from the Northern to Central Andes. Our results show that cloud forests may be partly buffered from warming but are likely to become extremely vulnerable under reduced humidity either through forest loss or drought.
Correlation between Albuminuria Levels and Chitinase 3 like 1 Protein in Iraqi Patients with Type 2 Diabetes Mellitus

Diabetes mellitus (DM) is a metabolic diseases attributed to lack of insulin secretion, insulin activity, or both. The most serious medical problems in hyperglycemia is diabetic nephropathy (DN), originating from the aggregation of inﬂammatory cells in high numbers. Chitinase 3 like 1 protein (CH3L1P) is a new biomarker for chronic and severe inflammatory conditions. It has been suggested to have a role in the progress of diabetes-associated micro and macro-vascular complications. This paper aims to measure CH3L1P levels and examine their correlation with albuminuria levels in Iraqi patients with type 2 diabetes mellitus (T2DM). Our study involved 66 T2DM patients (41males and 25 females with age ranging from 30 to 70 years, who were distributed into three groups; (A1) normoalbuminuria, (A2) microalbuminuria and (A3) macroalbuminuria, each group consisting of twenty-two patients. The control (C) group involved 22 healthy individuals (11 males and 11 females). Whole blood was used to estimate Glycated hemoglobin (HbA1c), while serum was used to measure other biochemical parameters, and the urine to measure urine creatinin (U.CR), urine albumin (U.A) & albumin to creatinine ratio (ACR). A quantitative sandwich enzyme-linked immunosorbent assay (ELISA) was used to determine serum CH3L1P level. Results revealed that the levels of systolic blood pressure (SBP), diastolic blood pressure (DBP), HbA1c and fasting blood glucose (FBG) were significantly higher in the patients (A1, A2 and A3 groups) compared to C group (P<0.001). Moreover, mean CH3L1P level significantly increased in the three T2DM patient group (A1, A2 and A3) (1327.20±294.44, 1434.82±305.26, 1602.90±409.50 pg/ml, respectively) as compared to the C group (626.81±103.15 pg/ml). CH3L1P levels in the blood were substantially higher in T2DM patients, with a clear correlation with the increase in albuminuria levels. As a result, it can be concluded that serum CH3L1P level may be used as an early detection marker of DN in T2DM patients.
Seasonal circulation regimes in the North Atlantic: Towards a new seasonality

European climate variability is shaped by atmospheric dynamics over the North Atlantic and local processes. Better understanding their future seasonality is essential to anticipate changes in weather conditions for human and natural systems. We explore atmospheric seasonality over 1979–2017 and 1979–2100 with seasonal circulation regimes (SCRs), by clustering year‐round daily fields of Z500 from the ERA‐Interim reanalysis and 12 Coupled Model Intercomparison Project phase 5 (CMIP5) climate models (historical and RCP8.5 runs). The spatial and temporal variability of SCR structures and associated patterns of surface air temperature are investigated. Climate models have biases but reproduce structures and evolutions of SCRs similar to the reanalysis over 1979–2017: decreasing frequency of winter conditions (starting later and ending earlier in the year) and the opposite for summer conditions. These changes are stronger over 1979–2100 than over 1979–2017, associated with a large increase of North Atlantic seasonal mean Z500 and temperature. When using more SCRs (more freedom in definition of seasonality), the changes over 1979–2100 correspond to a long‐term swap between SCRs, resulting in similar structures (annual cycle and spatial patterns) relative to the evolution of seasonal mean Z500 and temperature. To understand whether the evolution of SCRs is linked to uniform warming, or to changes in circulation patterns, we remove the calendar trend in the Z500 regional average to define SCRs based on detrended data (d‐SCRs). The temporal properties of d‐SCRs appear almost constant whereas their spatial patterns change, indicating that the calendar Z500 regional trend drives the evolutions of SCRs, and that changing spatial patterns in d‐SCRs account for the heterogeneity of this trend. Our study suggests that historical winter conditions will continue to decrease in the future while historical summer conditions continue to increase. However, it also suggests that the spatial and temporal patterns of SCRs would remain similar, relatively to the year‐round Z500 increase.
Clarifying the Electro‐Chemo‐Mechanical Coupling in Li10SnP2S12 based All‐Solid‐State Batteries

A fundamental clarification of the electro‐chemo‐mechanical coupling at the solid–solid electrode|electrolyte interface in all‐solid‐state batteries (ASSBs) is of crucial significance but has proven challenging. Herein, (synchrotron) X‐ray tomography, electrochemical impedance spectroscopy (EIS), time‐of‐flight secondary‐ion mass spectrometry (TOF‐SIMS), and finite element analysis (FEA) modeling are jointly used to decouple the electro‐chemo‐mechanical coupling in Li10SnP2S12‐based ASSBs. Non‐destructive (synchrotron) X‐ray tomography results visually disclose unexpected mechanical deformation of the solid electrolyte and electrode as well as an unanticipated evolving behavior of the (electro)chemically generated interphase. The EIS and TOF‐SIMS probing results provide additional information that links the interphase/electrode properties to the overall battery performance. The modeling results complete the picture by providing the detailed distribution of the mechanical stress/strain and the potential/ionic flux within the electrolyte. Collectively, these results suggest that 1) the interfacial volume changes induced by the (electro)chemical reactions can trigger the mechanical deformation of the solid electrode and electrolyte; 2) the overall electrochemical process can accelerate the interfacial chemical reactions; 3) the reconfigured interfaces in turn influence the electric potential distribution as well as charge transportation within the SE. These fundamental discoveries that remain unreported until now significantly improve the understanding of the complicated electro‐chemo‐mechanical couplings in ASSBs.
Considerations and Challenges in Longitudinal Studies of Lexical Features in L2 Writing

Exploring the longitudinal development of second language (L2) lexical use has been one of the important topics in L2 vocabulary research. One approach to examining longitudinal changes in L2 lexical use is to capture changes in lexical features as found in learner production, such as L2 writing, over time. To further facilitate this approach, the purpose of this article is to discuss considerations and challenges for conducting longitudinal studies on lexical features in L2 writing. The article first provides a summary of relevant previous studies, followed by the promise of longitudinal studies on lexical features in L2 writing. It then presents considerations and challenges in longitudinal studies of lexical features in L2 writing in terms of the data collection and analysis and the choice of lexical measures. More research on the longitudinal changes in lexical features in L2 learner production seems warranted. Ultimately, more longitudinal research in lexical features in L2 learner production will help us have a deeper understanding of L2 lexical development and design better vocabulary intervention in L2 classrooms.
Effect of General Cross-Immunity Protection and Antibody-Dependent Enhancement in Dengue Dynamics

A mathematical model to describe the dynamic of a multiserotype infectious disease at the population level is studied. Applied to dengue fever epidemiology, we analyse a mathematical model with time delay to describe the cross-immunity protection period, including a key parameter for the antibody-dependent enhancement (ADE) effect, the well-known features of dengue fever infection. Numerical experiments are performed to show the stability of the coexistence equilibrium, which is completely determined by the basic reproduction number and by the invasion reproduction number, as well as the bifurcation structures for different scenarios of dengue fever transmission in a population. The model shows a rich dynamical behavior, from fixed points and periodic oscillations up to chaotic behaviour with complex attractors.
A gender perspective on the use of mobile social network applications to enhance the social well-being of people with physical disabilities: the mediating role of sense of belonging

ABSTRACT The rapid development of information and communication technologies has demonstrated their potential to enable people with physical disabilities (PPD) to improve their livelihoods and reduce social exclusion in China. Only a few studies have been conducted to investigate how online social support boosts PPD’s sense of belonging and to determine which type of social support they need. We followed the sense of belonging theory and social support theory to review the related literature and understand the mechanisms by which PPD may use mobile applications to receive support in the online environment. Both personal interviews and questionnaire surveys were conducted. We collected data from 337 PPD from the China Disabled Person’s Federation. Results of the statistical analysis revealed that both emotional and informational support are significantly related to sense of belonging. Furthermore, sense of belonging affects social connection and social well-being. The results of the moderation analysis showed female and male PPD received different kinds of support. The findings offer insights for disability service institutions interested in better enablement of PPD.