Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Machine Learning Based Method of Combined Dynamic Environment Prediction

In practical engineerings, structures are often excited by different kinds of loads at the same time. How to effectively analyze and simulate this kind of dynamic environment of structure, named combined dynamic environment, is one of the key issues. In this paper, a novel prediction method of combined dynamic environment is proposed from the perspective of data analysis. First, the existence of dynamic similarity between vibration responses of the same structure under different boundary conditions is theoretically proven. It is further proven that this similarity can be established by a multiple-input multiple-output regression model. Second, two machine learning algorithms, multiple-dimensional support vector machine and extreme learning machine, are introduced to establish this model. To test the effectiveness of this method, shock and stochastic white noise excitations are acted on a cylindrical shell with two clamps to simulate different dynamic environments. The prediction errors on various measuring points are all less than ±3 dB, which shows that the proposed method can predict the structural vibration response under one boundary condition by means of the response under another condition in terms of precision and numerical stability.
Repositori laporan bug perangkat lunak sebenarnya menyediakan informasi dan saran resolusi bug tertentu yang dapat digunakan untuk memperbaiki bug yang terjadi pada tahap perbaikan perangkat lunak. Pengembang dapat mencari saran resolusi bug perangkat lunak tertentu dengan mengidentifikasi duplikasi

ABSTRAK Repositori laporan bug perangkat lunak sebenarnya menyediakan informasi dan saran resolusi bug tertentu yang dapat digunakan untuk memperbaiki bug yang terjadi pada tahap perbaikan perangkat lunak. Pengembang dapat mencari saran resolusi bug perangkat lunak tertentu dengan mengidentifikasi duplikasi bug pada repositori laporan bug perangkat lunak. Penelitian ini mengusulkan sistem identifikasi duplikasi laporan bug pada repositori laporan bug untuk menghasilkan saran resolusi bug perangkat lunak menggunakan teknik pendekatan temu kembali informasi. Pengembang dapat menemukan informasi alasan kegagalan perangkat lunak dan memperoleh saran resolusi untuk memperbaiki bug tersebut. Hasil penelitian ini menunjukkan bahwa teknik pendekatan temu kembali informasi dapat digunakan untuk mengidentifikasi duplikasi laporan bug pada repositori laporan bug untuk menghasilkan saran resolusi bug perangkat lunak.
Supplement to: Coupling processes and exchange of energy and reactive and non-reactive trace gases at a forest site-results of the EGER experiment

Thomas Foken, Franz X. Meixner, Eva Falge, Cornelius Zetzsch, Andrei Serafimovich, Anika Bargsten, Thomas Behrendt, Tobias Biermann, Claudia Breuninger, Stephanie Dix,Tobias Gerken, Martina Hunner, Lydia Lehmann-Pape, Korbinian Hens, Georg Jocher, Jürgen Kesselmeier, Johannes Lüers, Jens-Christopher Mayer, Alexander Moravek, Daniel Plake, Michael Riederer, Friederike Rütz, Monika Scheibe, Lukas Siebicke, Matthias Sörgel, Katharina Staudt, Ivonne Trebs, Anywhere Tsokankunku, Michael Welling, Veronika Wolff, Zhilin Zhu
3D evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset

In this study we utilize a new dust product developed using CALIPSO observations and EARLINET 15 measurements and methods to provide a 3D multiyear analysis on the evolution of Saharan dust over North Africa and Europe. The product utilizes CALIPSO L2 backscatter product corrected with a depolarization-based method to separate pure dust in external aerosol mixtures and an adjusted Saharan dust lidar ratio based on long-term EARLINET measurements. The methodology is applied on a nine-year CALIPSO dataset (2007-2015) and the results are analysed here to reveal for the first time the 3D dust evolution and the seasonal patterns of dust over its transportation paths from the 20 Sahara towards the Mediterranean and Continental Europe. During spring, dust is uniformly distributed in the horizontal over the Sahara desert. The dust transport over the Mediterranean Sea results on mean Dust Optical Depth (DOD) values of 0.1. During summer, the dust activity is mostly shifted to the western part of the desert where mean DOD near the source is up to 0.6. Elevated dust plumes with mean extinction values between 10 75 Mm are observed throughout the year at various heights between 2 6 km, extending up to latitudes of 40° N. Dust advection is identified even at latitudes of about 25 60° N, but this is due to rare events of episodic nature. Dust plumes of high DOD are also observed above Balkans during winter period and above North-West Europe during autumn at heights between 2 4 km, reaching mean extinction values up to 50 Mm. The dataset is considered unique with respect to its potential applications, including the evaluation of dust transport models and the estimation of cloud condensation and ice nuclei concentration profiles (CCN/IN). Finally, the product can be used to study dust dynamics during transportation, since it is capable of revealing even fine dynamical 30 features such as the particle uplifting and deposition on European mountainous ridges such as Alps and Carpathian. Atmos. Chem. Phys. Discuss. , doi:10.5194/acp-2016-902, 2016 Manuscript under review for journal Atmos. Chem. Phys. Published: 24 November 2016 c © Author(s) 2016. CC-BY 3.0 License.
Short-Term Speed Prediction Using Remote Microwave Sensor Data: Machine Learning versus Statistical Model

Recently, a number of short-term speed prediction approaches have been developed, in which most algorithms are based on machine learning and statistical theory. This paper examined the multistep ahead prediction performance of eight different models using the 2-minute travel speed data collected from three Remote Traffic Microwave Sensors located on a southbound segment of 4th ring road in Beijing City. Specifically, we consider five machine learning methods: Back Propagation Neural Network (BPNN), nonlinear autoregressive model with exogenous inputs neural network (NARXNN), support vector machine with radial basis function as kernel function (SVM-RBF), Support Vector Machine with Linear Function (SVM-LIN), and Multilinear Regression (MLR) as candidate. Three statistical models are also selected: Autoregressive Integrated Moving Average (ARIMA), Vector Autoregression (VAR), and Space-Time (ST) model. From the prediction results, we find the following meaningful results: () the prediction accuracy of speed deteriorates as the prediction time steps increase for all models; () the BPNN, NARXNN, and SVM-RBF can clearly outperform two traditional statistical models: ARIMA and VAR; () the prediction performance of ANN is superior to that of SVM and MLR; () as time step increases, the ST model can consistently provide the lowest MAE comparing with ARIMA and VAR.
The Role of Health Beliefs in Preventive Behaviors of Individuals at High- Risk of Type2 Diabetes Mellitus

هديكچ همدقم : لاـح رد نآ عويـش و دوـش يـم سردوز گرـم و ديدـش ضراوـع هب رجنم هك تسا مهم يتشادهب لكشم كي سوتيلم تبايد تسا شيازفا . عون تبايد يراميب زا يريگشيپ تهج يتشادهب تبثم ياهراتفر هعسوت 2 يراـميب نـيا يلااب رطخ ضرعم رد هك يدارفا رد اعلا قوف تيمها دنتسه هد دراد يا . عوـن تبايد زا هدننك يريگشيپ ياهراتفر و يتشادهب تاداقتعا نيب هطبار يسررب هعلاطم نيا فده 2 رد يم تفت رهش رطخ ضرعم رد دارفا دشاب . شور يسررب : هعلاطم نيا رد نآ رد هك يتشادهب داقتعا لدم بوچراچ زا ) Health Belief Model ( تـسا هدـش هدافتـسا ، دادـعت 114 رـفن درم يلااب نز و 30 عون تبايد رطخ ضرعم رد و لاس 2 عون تبايد رطخ ضرعم رد دارفا يرگلابرغ همانرب قيرط زا هك 2 زـكرم هـس طسوت هك ،دندوب هدش يياسانش تفت رهش يرهش ينامرد و يتشادهب دندش هعلاطم دراو . رازبا هداد يروآ عمج اه ي ك همانشسرپ 66 آ ي مت ي دوب . هداد اـب اه مرن زا هدافتسا يرامآرازفا SPSS و نم و نمريپسا يگتسبمه ياهنومزآ ،يفيصوت رامآ يريگراكب و هيزجت دروم ينتيو تفرگ رارق ليلحت . تن ا جي : 8 / 29 % زا هدننك تكرش اه ي ا ي هعلاطم ن و درم 2 / 70 % اـهنآ ينس نيگنايم و دندوب نز 05 / 7 ± 78 / 44 دوـب . 4 / 68 % حطـس اـهنآ زا ملپيد ريز داوس و دنتشاد 4 / 89 % تم أ دندوب له . يهاگآ هرمن نيگنايم اهراتفر و ي پ ـي گش ي ر ي ـب هدـننك ه ترت ـي ب 87 / 2 ± 80 / 5 و 83 / 2 ± 41 / 5 روطب ،دوب ي هك ندومزآ ي اهنت اه 05 / 30 % هرمن رثكادح زا باستكا لباق ار هدننك يريگشيپ ياهراتفر دـندرك بسـك . نـيا جياـتن ساـسا رـب هدـش كرد تيساسح و هدننك يريگشيپ ياهراتفر نيب هعلاطم ) 009 / 0 < p ( 243 / 0 r= هدـش كرد تدـش ، ) 001 / 0 < p ( 312 / 0 r= عـناوم ، هدش كرد ) 006 / 0 < p ( 245 / 0 r= راكدوخ و آ هدش كرد يدم ) 001 / 0 < p ( 497 / 0 r= ، ينعم يگتسبمه تشاد دوجو راد . يريگ هجيتن : يلع عون تبايد رطخ ضرعم رد دارفا رد تبايد رطخ لماوع دوجو مغر 2 ، د هدننك يريگشيپ ياهراتفر ماجنا دارـفا نيا ر رد صقن رطاخب ش ،هدش كرد تيساسح دوخ و هدش كرد عناوم ،هدش كرد تد راك آ دوب ينيياپ حطس رد هدش كرد يدم .
An Analysis of the Readiness of Voters in the Western Region of Ghana for Electronic Voting

The study was conducted to find out how ready voters in the Western region are for electronic voting. It focused on electorates’ perspective and also assessed the infrastructural readiness of the Electoral Commission (EC) for e-voting. The Technology Acceptance Model (TAM) was used as the base theory for the study. Using the survey’s research design, questionnaires were administered to 400 electorates in Sekondi – Takoradi and 352 of the electorates responded. An interview was also held with the staff of the Electoral Commission (EC) in the Sekondi-Takoradi constituency to ascertain EC’s infrastructural preparedness for e-voting. The study revealed that the majority (70.5%) of the electorates were aware of e-voting through one medium or the other but only a few (10.2%) of the electorates had ever used e-voting in an election. The majority (67.3%) of the electorates perceived the usefulness variables as important characteristics of e-voting that can help mitigate the electoral irregularities in the current electoral process. The majority (72.3%) of the electorates had very high confidence in e-voting. However the response from the interviewee suggested that EC is not in the least prepared for the introduction of e-voting. Perhaps the year “2016 and beyond”. Based on the findings, the study concludes that it is feasible to implement e-voting in Ghana but for the lack of infrastructure. Keywords: Electronic (e-voting), Electoral Commission (EC), Direct Recording Electronic (DRE), Personal Digital Assistants (PDA’s), Election Management Bodies (EMBs)
ORGANIC CARBON AND TOTAL NITROGEN IN THE DENSIMETRIC FRACTIONS OF ORGANIC MATTER UNDER DIFFERENT SOIL MANAGEMENT

The evaluation of land use and management by the measurement of soil organic matter and its fractions has gained attention since it helps in the understanding of the dynamics of their contribution to soil productivity, especially in tropical environments. This study was conducted in the municipality of Colorado do Oeste, state of Rondônia, Brazil and its aim was to determinethe quantity of organic carbon and total nitrogen in the light and heavy fractions of organic matter in the surface layers of a typic hapludalf under different land use systems: Native Forest: open evergreen forest, reference environment; Agroforestry System 1: teak (Tectona grandis LF) and kudzu (Pueraria montana); Agroforestry System 2: coffee (Coffea canephora), marandu palisade grass (Brachiaria brizantha cv. Marandu), “pinho cuiabano” (Parkia multijuga), teak and kudzu. ; Agroforestry System 3: teak and cocoa (Theobroma cacao); Silvopasture System: teak, cocoa and marandu palisade grass; and Extensive Grazing System: marandu palisade grass. The experimental design was a randomized block in split-split plots (use systems versus soil layers of 0-0.05 and 0.05-0.10 m) with three replications. The results showed that relative to Native Forest, the Agroforestry System 2 had equaland greater amounts of organic carbon and total nitrogen respectively (light and heavy fractions) in the soil organic matter, with the light fraction being responsible for storage of approximately 45% and 70% of the organic carbon and total nitrogen, respectively. Therefore, the light densimetric fraction proved to be useful in the early identification of the general decline of the soil organic matter in the land use systems evaluated.
Interactive comment on “ Earth ’ s surface mass transport derived from GRACE , evaluated by GPS , ICESat , hydrological modeling and altimetry satellite orbits

The authors discuss a novel method based on radial basis functions for recovery of the global Earth’s gravity field from GRACE inter-satellite range-rate data. To test its performance, they authors use four independent datasets and using various metrics they compare results of the new method with respect to three global geopotential models derived from GRACE data. Obtained numerical results demonstrate that the new method can be used for global gravity field modelling as an alternative to classical spherical (spheroidal) harmonic models.
Formulation of High Fiber Breakfast Food and Estimation of its Functional Qualities

This study aims to develop high fiber breakfast food rich in nutritional and functional components (β-glucan, antioxidants, and insoluble fiber) and identify the future possibilities of commercial product. Based on the 15 days survey carried out on Kathmandu, an optimum formulation (86% cereal, 5% nuts, 7% dried fruits and 2% pumpkin seed) of product was found at first 3 trails. Formulated sample was found to be superior in terms of nutritional qualities (protein %- 13.82±0.67, crude fiber %- 7.8±0.96, β-glucan%- 3.13±0.35, total polyphenol GAE- 458.33±10.4) and sensory qualities (color, flavor, size, shape, texture, overall acceptance) than market sample (Protein%- 12.39±1.54, crude fiber%- 5.18±0.9, β-glucan%- 1.18±0.07, total polyphenol GAE- 163.3±58.6). The product was further developed by varying processing methods (germinating, non-germinating wheat and instant (60°C) and gradual drying (50°C, 55°C, 60°C, 70°C)). Formulation having germinated wheat and instant dried (60°C) was found to be superior in terms of color, texture,  avor and overall acceptance. The product was further subjected to chemical and functional analysis, cost analysis (Rs.42), microbiological analysis (TPC-1.8x10 3 , Yeast count- 400cfu/g, Mold count- 300cfu/g), storage stability test (a w =0.113). Statistical analysis showed no significance difference among products of varying drying pattern but difference among germinated and non-germinated products. Consumer perceptibility test showed 64% of the consumer accepted muesli as the best product than commercial breakfast cereals. DOI: http://dx.doi. org/10.3126/jfstn.v7i0. 10612 J. Food Sci. Technol. Nepal, Vol. 7 (76-80), 2012
Phosphorylation of extracellular signal regulated kinases 1 and 2 is specifically associated with angiogenic Tie 2 expression in the synovium of patients with active rheumatoid arthritis but not psoriatic arthritis

Introduction: Animal studies suggest important roles for the mitogen-activated protein kinases (MAPKs) p38, extracellular signal regulated kinases (ERK) 1/2 and c-Jun N-terminal kinase (JNK) in the perpetuation of inflammation and disease progression in rheumatoid arthritis (RA). The objective of this study was to determine the expression and activation of MAPKs, and their potential relationship with clinical and cellular parameters of disease, in patients with clinically active RA and psoriatic arthritis (PsA). Methods: Expression and phosphorylation of p38, ERK, and JNK was examined in arthroscopic synovial biopsies from 20 RA and 19 PsA patients by immunohistochemical analysis, using quantitative computer-assisted image analysis. Phosphorylated (p)-MAPK levels were related to patient clinical parameters and synovial expression of tumor necrosis factor α (TNFα), matrix metalloproteinase (MMP)-1, MMP-3, and the angiogenic receptor Tie2. Localization of p-MAPKs and Tie2 in distinct cell populations within synovial tissue was determined by immunofluorescent double staining. Results: No differences in the number of cells expressing p-p38, p-ERK, or p-JNK were observed between RA and PsA synovial tissue. However, the percentage of cells expressing JNK that had detectable p-JNK was elevated in PsA synovial tissue (p< 0.05). The relative phosphorylation of p38 (p < 0.05) and ERK (p< 0.05), but not JNK, compared to total expression of each MAPK, was significantly higher in RA synovial tissue than in PsA. MAPK phosphorylation status was not associated with clinical parameters of disease activity in RA or PsA, or with expression of MMP-1 or MMP-3. In RA, p-ERK was associated with increased Tie2 expression (R = 0.583, p < 0.01), while in PsA p-JNK was associated with expression of TNFα (R = 0.713, p < 0.01). In RA synovial tissue, Tie2 and p-ERK prominently colocalized to synovial macrophages. Conclusion: In patients with clinically active arthritis, relative participation of p38 and ERK signaling in synovial tissue distinguishes RA from PsA. However, there is no clear association of MAPK activation with clinical parameters of disease activity in these forms of arthritis. ERK phosphorylation is intimately associated with Tie2 expression in RA, primarily in synovial macrophages, while in PsA, JNK phosphorylation is associated with TNF production. Our results suggest that activation of specific MAPKs is differentially linked to angiogenesis and inflammation in RA and PsA. 97 Ras Family GTPase Signaling Contributions to Inflammation and Joint Destruction in Rheumatoid Arthritis
Profiling the non-user: how can policy initiatives stimulate ICT acceptance based on the 'relative utility' approach?

Business strategies and policies that were successful in increasing internet penetration in the early days may no longer be appropriate. This is most probably so in countries where a larger part of the citizens is already connected to the internet. As more people are online, it becomes more likely that the remaining fraction of non-adopters is either hard to convince, under-skilled or simply lacking the financial resources to afford a connection. In view of this, we propose a new policy approach to increase ICT acceptance. The approach is characterized by the intermediation of industry as well as social and professional organizations. In addition, the measures developed within this approach are based on strategies of segmentation and differentiation. This entails that product offerings are specifically targeted towards different socio-demographic groups in the population. In this paper we discuss the results of a research project comprising both quantitative and qualitative research. An important goal of the research was to investigate the relation between the socio-demographic and socio-economic characteristics of non-users and their profiles in terms of access levels, ICT-skills and attitudes towards ICT. In this paper we demonstrate that being a non-user can be explained by a combination of these aspects or by the outweighing effect of one of them. Furthermore, we found evidence that similar social groups indeed yield similar profiles in terms of access, skills and attitudes. We also clarify how the results can serve as input for new policy initiatives concerning ICT acceptance.
Analytical and numerical modeling of the process for cluster emergence of objects in a random environment

The task solution for probing a certain area by a swarm of objects randomly distributed is considered. This requires studying of statistical features for clusters emergence from swarm objects uniformly distributed in order to find such a concentration of the objects in the sensing area in which the number of random clusters will be maximal. Corresponding analytical dependencies have been obtained.
Emerging Roles of Prostaglandins in HIV-1 Transcription

Prostaglandins (PG), generated by cyclooxygenase (COX), are a group of lipid mediators formed in response to various stimuli. They include PGD2, PGE2, PGF2alpha, and PGI2. Immediately after synthesis, they are released outside the cell and exert their actions by binding to a G-protein-coupled rhodopsin-type receptor on the surface of target cells. There are seven types of prostaglandin receptors: the PGD receptor, four subtypes of PGE receptor, the PGF receptor, and the PGI receptor. Prostaglandins are involved in host defense against various pathogens. Along with mediating inflammatory symptoms, PGs might suppress some innate immune factors, including nitric oxide (NO) production. These immunomodulatory molecules have been shown to participate in the regulation of virus replication and the modulation of inflammatory responses following infection. Moreover, virus infection also stimulates the expression of a number of proinflammatory gene products, including COX-2, inducible nitric oxide synthase (iNOS) as well as proinflammatory cytokines. An overproduction of PGE2 (as high as 10−4M) is seen in a number of disorders (e.g. allergy, hyper-IgE syndrome, Hodgkin lymphoma, trauma, sepsis, and transplantation), most of which are characterized by elevated Th2 and IgE responses. Elevated levels of PGE2 have also been reported in individuals infected with HIV-1 and it has been postulated that this may contribute to the immunosuppressive state seen in such virally infected patients. The mechanism(s) responsible for the enhanced prostaglandin formation is still undefined. The initial contact between the virus particle and its target cell might represent the crucial step leading to the production of PGE2 by macrophages. This concept is supported by the finding that a significant production of endogenous PGE2 is induced (20to 40-fold increase) following incubation of primary human monocytes with the HIV-1 external envelope glycoprotein gp120. Given that pro-inflammatory molecules such as PGE2 are up-regulated during HIV-1 infection, an imbalance in PGJ2 production is observed in HIV+ individuals. This book chapter will focus on roles of prostaglandins in HIV-1 replication and their potential therapeutic implications. We propose to review mechanisms by which the proinflammatory prostaglandin PGE2 and the anti-inflammatory prostaglandin PGJ2 regulate HIV-1 transcription and replication. Specific attention will be placed on how prostaglandins affect the nuclear translocation of NF-B (nuclear factor kappa B), an essential transcription factor for HIV-1 transcription. In addition, signaling pathways as well as other transcription
STECA – Security Threats, Effects and Criticality Analysis: Deﬁnition and Application to Smart Grids

The reliability of electrical power systems, since their first use, has been addressed focusing on ensuring the continuous power supply and on the management of critical situations in order to avoid electrical disruption due to potential failures. In the last decade, we are witnessing the increasing development of Smart Grids, with e3.15 billion investment in Smart Grids projects amongst the EU-28 Member States only in the period 2002–2014 [1]. Smart Grids enhance the classical electrical systems by introducing optimization of grid management, both from transmission and quick reaction to power disruption through real-time and automated technologies; deploying and integrating of large-scale renewable energy systems; reducing management and power costs, for final users; and introducing and integrating of smart appliances and consumer devices. While these new aspects make the electrical systems effective, they become more and more interconnected thus making them vulnerable to cyber and physical attacks [2–4]. Indeed, it is possible to remotely perform changes (e.g., to instructions, commands and configurations), disabling actions, shut down or in general interfere with the