Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigations of Corrosion Behavior on Combined Fast Laser Texturing and HVOF TiO2 Powder Deposition Surface Engineering Treatment

The paper presents the characteristics of TiO2 coatings realized by HVOF spraying process by two different processing paths, i.e. using the classical method of preparing the substrate by sandblasting and by applying a fast laser texturing of the substrate (instead of sandblasting) before the actual HVOF spraying respectively (a duplex treatment). The obtained coatings’ morphology were characterized by SEM before and after electrochemical measurements in NaCl solution. The textured sample presented better resistance to corrosion compared with classical processing path. Keywords: coatings, fast laser texturing, HVOF spraying, duplex surface treatment, anticorrosive.
Directional stepping model for yeast dynein: Longitudinal- and side- step distributions

We deduce the directional step distribution of yeast dynein motor protein on the microtubule surface by combing intrinsic features of the dynein and microtubule. These include the probability distribution of the separation vector between the two microtubule binding domains (MTBDs), the angular probability distribution of a single MTBD translation, the existence of a microtubule seam defect, microtubule binding sites, and theoretical extension that accounts for a load force on the motor. Our predictions are in excellent accord with the measured longitudinal step size distributions at various load forces. Moreover, we predict the side-step distribution and its dependence on longitudinal load forces, which shows a few surprising features. First, the distribution is broad. Second, in the absence of load, we find a small right-hand bias. Third, the side-step bias is susceptible to the longitudinal load force; it vanishes at a load equal to the motor stalling force and changes to a left-hand bias above that value. Fourth, our results are sensitive to the ability of the motor to explore the seam several times during its walk. While available measurements of side-way distribution are limited, our findings are amenable to experimental check and, moreover, suggest a diversity of results depending on whether the microtubule seam is viable to motor sampling. Significance Statement The function of microtubule (MT) associated protein motors, kinesin and dynein, is essential for a myriad of intracellular processes. Different measurements on yeast cytoplasmic-dynein stepping characteristics appear to be unrelated to each other. We provide a unified physical-statistical model that combines these seemingly independent features with a theoretical expression that accounts for the exertion of a longitudinal load force, to yield the longitudinal step distribution at various load forces. The latter is in excellent accord with the measured distributions. Moreover, we deduce the side-step distribution, which surprisingly is susceptible to longitudinal load forces and comprises a right or left bias. This side-way bias is consistent with observations of helical motion of a nanoparticle carried by a number of motors.
The Scientific Legacy of Ralf Koetter

T HIS special issue is intended as a tribute to the work of Ralf Koetter. Ralf’s premature death on February 2, 2009 deprived our community not only of one of its most beloved members, but also of an imaginative individual contributor, valued collaborator, and respected leader who had already had a significant impact on coding theory and practice, and who could have potentially contributed so much more. The contributions of Ralf Koetter to our field have been remarkably diverse and often seminal. They span a wide range of areas, from algebraic decoding algorithms, to codes on graphs, to signal processing, to network coding. This editorial provides an overview of the most salient of his results. The overview is organized into four sections, presented below roughly in the order in which Ralf’s interests developed during his career.
Bidirectional Convolutional Recurrent Sparse Network (BCRSN): An Efficient Model for Music Emotion Recognition

Music emotion recognition, which enables effective and efficient music organization and retrieval, is a challenging subject in the field of music information retrieval. In this paper, we propose a new bidirectional convolutional recurrent sparse network (BCRSN) for music emotion recognition based on convolutional neural networks and recurrent neural networks. Our model adaptively learns the sequential-information-included affect-salient features (SII-ASF) from the 2-D time–frequency representation (i.e., spectrogram) of music audio signals. By combining feature extraction, ASF selection, and emotion prediction, the BCRSN can achieve continuous emotion prediction of audio files. To reduce the high computational complexity caused by the numerical-type ground truth, we propose a weighted hybrid binary representation (WHBR) method that converts the regression prediction process into a weighted combination of multiple binary classification problems. We test our method on two benchmark databases, that is, the Database for Emotional Analysis in Music and MoodSwings Turk. The results show that the WHBR method can greatly reduce the training time and improve the prediction accuracy. The extracted SII-ASF is robust to genre, timbre, and noise variation and is sensitive to emotion. It achieves significant improvement compared to the best performing feature sets in MediaEval 2015. Meanwhile, extensive experiments demonstrate that the proposed method outperforms the state-of-the-art methods.
How Does Competition By Informal Firms Affect The Innovation In Formal Firms?

Abstract This study applies a resource-based perspective to investigate how competition by informal firms affects innovation in formal firms in China. By analyzing survey data, collected from 1,686 Chinese manufacturing firms, we find that formal firms tend to increase their rate of innovation when faced with informal competition. However, formal firms’ access to increased global supply chain collaboration mitigates the challenges presented to their rate of innovation by the informal firms. We present implications for future research, practice, and policy-making.
DESIGN AND DEVELOPMENT OF COMPACT RECONFIGURABLE TRI-STOPBAND BANDSTOP FILTER USING HEXAGONAL METAMATERIAL CELLS FOR WIRELESS APPLICATIONS

In this paper, a compact reconfigurable tri-band bandstop filter (BSF) with sharp-rejection and high selectivity is presented. The proposed filter is based on a 50 Ohms microstrip feed line, six hexagonal metamaterial cells (HMCs) with different sizes and switches. The structure of the filter has seven different modes of operation characterized. A good agreement between the simulated and measured results is obtained. The results indicate that the proposed filter design, with overall size of 0. 28λg × 0. 17λg, is a good candidate for multiservice radios applications.
Spatio-temporal trends in diversity of demersal fish assemblages in the Mediterranean

The high species richness, coupled with high proportion of endemism, makes the Mediterranean one of the world’s ‘biodiversity hotspots’. However, the continuous increase in fisheries in the last few decades has led to the overexploitation of their main commercial stocks. Using fishery-independent data collected under the framework of the MEDITS trawl surveys carried out over the last 20 years, we study the demersal fish diversity pattern in the Mediterranean at a large spatial and temporal scale to determine whether it is being affected by the general fishing overexploitation of the demersal resources. The detected diversity trends are compared with the spatio-temporal variation in bottom trawl fishing effort in the Mediterranean. Our results show a stability and even recovery of demersal fish diversity in the Mediterranean together with higher diversity values on the continental shelves of the Balearic Islands, Sardinia, Sicily and the Aegean Sea. At large temporal and spatial scales, the high diversity of demersal assemblages in the Mediterranean is associated with a reduction in bottom trawl fishing effort. The inclusion of species other than target ones through diversity indices is important in the implementation of an ecosystem-based fisheries management.
Automated Neural-Based Modeling of Microwave Devices Using Parallel Computation and Interpolation Approaches

Automated model generation (AMG) is an automated artificial neural network (ANN) modeling algorithm, which integrates all the subtasks (including adaptive sampling/data generation, model structure adaptation, training, and testing) in neural model development into one unified framework. In existing AMG, most of the time is spent on data sampling and model structure adaptation due to the iterative neural network training and the sequential computation mechanism. In this paper, we propose an advanced AMG algorithm using parallel computation and interpolation approaches to speed up the neural modeling of microwave devices. Efficient interpolation approaches are incorporated to avoid repetitive training of the intermediate neural networks during adaptive sampling process in AMG. Parallel computation formulation based on a multi-processor environment is proposed to further save time during interpolation calculation, data generation, and model structure adaptation process. Examples of automated modeling of two microwave filters are presented to show the advantage of this paper.
2S2P1D Model Calibration Error from User Panel for One Bitumen and One Bituminous Mixture

The objective of this study is to analyse the differences between experimental LVE properties of both a straight-run bitumen and a bituminous mixture and simulations with analogical 2S2P1D (2 Springs, 2 Parabolic elements, and 1 Dashpot) model fitted by 14 different users. Data for the bitumen consisted of isotherms of G∗ and φ obtained from DSR complex modulus tests at 12 different temperatures ranging from −29.9°C to 60.0°C and frequencies ranging from 6.3 to 40 Hz, for a total of 60 data points. Data for the bituminous mixture consisted of isotherms of E∗ and φ obtained from strain-controlled traction/compression complex modulus tests at 8 different temperatures ranging from −29.7°C to 38.8°C and frequencies ranging from 0.01 to 10 Hz, for a total of 55 data points. All users worked independently and for the same time duration of one hour to fit the 2S2P1D model on both sets of data. Successful simulations of experimental data of both bitumen and mixture were generally obtained by all the users over the whole range of frequencies and temperatures, regardless of their familiarity and experience with the model. The accuracy of the model to fit experimental data is all the more evident if the great spans of complex modulus (G∗ of the bitumen between 10−2 and 103 MPa, E∗ of the mixture between 10 and 40000 MPa) are considered. The obtained results highlight the convenience of 2S2P1D model to perform multiscale modelling of LVE behaviour of bituminous materials, from bitumens to mixtures.
Hybrid expert system

This article deals with hybrid expert system that has knowledge base realized through a hierarchical structure of artificial neural networks (NN). The decision tree is built by C4.5 algorithm at first. In the next step the nods of the tree are replaced by NN. They are trained to split the data in the same way as the nods. So the problem is separated into partial sub-problems that are solved by individual NN. At the end an expert is requested to change the structure of particular NN according to his knowledge and experiences. Each NN solves a partial sub-problem what decreases demands upon the capability of an expert and accelerates the time needed to harmonize the knowledge base. Unlike the traditional expert system, the output of this architecture is not classification, however we receive a list of hypotheses evaluated by certain value of the hypothesis trust.
Socially Responsible Identity: Linking Corporate Social Responsibility, Strategic Implementation and Quality Performance

Current research analyzes the impact of strategic implementation of CSR in the projection of socially responsible identity which has positive effects on the quality performance of the organization. Based on extensive literature review, theoretical framework was developed to analyze the role of CSR in projection of socially responsible identity and its impact on quality performance. For this purpose, non-probability sampling procedures were applied for data collection. Statistical tests like pearson’s correlations and regression analysis has been used to analyze the impact of socially responsible identity on quality performance of the organization. Findings of the study showed that CSR dimensions helps out in projection of SRI, If these dimensions are implemented strategically and largely this contributes in the quality performance of a corporation in long term thus qualifying the notion that CSR is a strategic investment that has trickledown effect can be seem over the period of time.
Identification of resistance to cobweb disease caused by Cladobotryum mycophilum in wild and cultivated strains of Agaricus bisporus and screening for bioactive botanicals

Outbreaks of cobweb disease are becoming increasingly prevalent globally, severely affecting the quality and yield of Agaricus bisporus. However, cobweb disease-resistant strains are rare, and little is known regarding the biocontrol management of the disease. Here, we isolated a pathogen from a severe outbreak of cobweb disease on A. bisporus in China and identified it as Cladobotryum mycophilum based on morphological characteristics, rDNA sequences, and pathogenicity tests. We then tested 30 A. bisporus strains for cobweb disease resistance by inoculating with C. mycophilum and evaluated the activity of different botanicals. We found that two wild strains of A. bisporus originating from the Tibetan Plateau in China were resistant to cobweb disease, and four commercial strains were susceptible. Yield comparisons of the inoculated and uninoculated strains of A. bisporus with C. mycophilum revealed yield losses of 6–38%. We found that seven botanicals could inhibit C. mycophilum growth in vitro, particularly Syzygium aromaticum, which exhibited the maximum inhibition (99.48%) and could thus be used for the further biocontrol of cobweb disease. Finally, we identified the bioactive chemical constituents present in S. aromaticum that could potentially be used as a treatment for C. mycophilum infection using Fourier transform infrared (FTIR) spectroscopy. These findings provide new germplasm resources for enhancing A. bisporus breeding and for the identification of botanicals for the biocontrol of cobweb disease.
Elucidation of alteration in biological rhythmicity at weekly intervals in clinicopathological attributes following interplay nexus of deltamethrin with colibacillosis in broiler chicks

ABSTRACT Deltamethrin and colibacillosis are commonly encountered pesticide exposure and infection in birds. The concurrent administration of both will lead to altered rhythmicity and thus impair health and growth. In present study 230 broiler chicks at the age of 7 days were divided randomly into three group’s viz., group A, B and C containing 70, 80 and 80 chicks, respectively. Birds of group B was given 1/5th of MTD of deltamethrin and of group C was given 1/10th of MTD of deltamethrin throughout the experiment. The group A was kept as control, i.e. no deltamethrin was given. At the age of 14 days, the birds of groups B and C were divided into two subgroups (group B into B1 and B2, group C into C1 and C2) of 40 birds each. Similarly, group A was also divided into two subgroups (A1 and A2) of 30 and 40 birds, respectively. Thereafter, each bird of subgroup A2, B2 and C2 was injected intraperitoneally 107 CFU Escherichia coli in 1 mL normal saline solution. On 0, 3, 11, 21 and 28th day of experiment, blood samples were collected to evaluate biochemical, serum enzyme markers activity and oxidative stress. Present study showed significant increase in AST, ALT and ALP in groups B2, C2 and A2 as compared to control. The greatest variability in the rhythmic attributes were observed in group B2 followed by C2 and A2. The study concluded a dynamic drift in normo-rhythmic pattern in the health of birds following interplaying of xenobiotics with colibacillosis.
Different Forms of Accommodation in Agritourism: The Role of Decoupled Farmer-Based Accommodation in the Ötztal Valley (Austria)

The general decline of mountain farming all over Europe suggests encouraging farmers to adapt their farm management and to diversify their activities into tourism. Therefore, this paper aims to investigate the impact of different types of farmer-based provision of accommodation on the preservation of the farm and the identification of farmers with farming activities. For our investigation in the case study area of Ötztal valley, Tyrol, Austria, we applied a mixed method approach. First, we developed a heuristic concept for categorizing the types of farms that offer farmer-based accommodation. The term ‘farmer-based’ refers to entities who are active in accommodation services and farming. We collected quantitative data in an online survey and carried out a qualitative focus group. Results reveal the importance of farmer-based accommodation even if decoupled from farm activities within the case study area. This type also supports, next to the ‘authentic’ form of farm-based tourism, the existing agricultural structure and contributes to the positive impact of mountain farming such as for the maintenance of multifunctional cultural landscapes, the provision of ecosystem services, and the viability of rural communities. Therefore, we suggest considering decoupled forms of farmer-based accommodation as agritourism.
Study of novel magnesium alloys with controlled microstructure and texture

The work elucidates the role of dislocation slip an d twinning during plastic deformation in selected magnesium (Mg) alloys with controlled microstructure and texture. The acoustic emission (AE) technique was c oncurrently applied during deformation to determine the activity of particular deformation mechanisms. A detailed insight into microstructure was provided by electron microscopy. In order to obtain a comprehensive set of AE data f or particular deformation mechanisms, Mg single crystals with various crystal lographic orientations were channel-die and uniaxially compressed. The obtained results were applied on deformation mechanisms in polycrystalline textured Mg alloys. Particularly, the twinning detwinning processes, in the sense o f twin boundary mobility, during one cycle loading (pre-compression followed by tens io ) were described. Clear correlations between changes in the AE response and the inflection points on the deformation curve were found. An analysis of tw in activity with respect to different types of microstructure (bimodal or homog eneous) showed a grain size effect on twin nucleation. The influence of texture on the deformation behavior was also identified for conventionally rolled slabs and rolled twin-roll cast Mg alloy strips in the form of sheets. An anisotropy of mech anical properties may be easily associated with the texture asymmetry around the no rmal direction, which is formed during the particular rolling process.
HUBUNGAN BODY IMAGE DENGAN POLA MAKAN REMAJA PUTRIDI SMA MUHAMMADIYAH 7 YOGYAKARTA

Latar Belakang: Remaja berada pada rentang usia 11-21 tahun. Remaja putri lebih merasakan ketidakpuasan terhadap tubuhnya daripada remaja putra karena remaja putri lebih banyak mengalami penambahan jumlah jaringan lemak. Bentuk tubuh menjadi representasi diri yang pertama dan paling mudah terlihat dalam kehidupan sosial. Hal ini menyebabkan remaja putri kemudian terdorong untuk memiliki tubuh yang ideal.Pola makan yang baik harus memiliki batasan tertentu dalam mengkonsumsinya, tidak terlalu sedikit atau tidak terlalu banyak. TujuanPenelitian:Mengetahui hubungan antara body image dengan pola makan pada remaja putri di SMA Muhammadiyah 7 Yogyakarta. Metode Penelitian:Penelitian ini menggunakan deskriptif korelasi sederhana. Jumlah sampel yang diperoleh sebanyak 95 siswi dengan teknik sampling yang digunakan total sampling. Analisis data menggunakan chi-square dengan tingkat kepercayaan 95%. Hasil Penelitian: Mayoritas body image siswi kelas XI dan XII SMA Muhammadiyah 7 Yogyakarta dalam kategori positif sebanyak 88 (79,3%). Mayoritas siswi kelas XI dan XII SMA Muhammadiyah 7 Yogyakarta memilikipolamakandalam kategori baik sebanyak 97 (87,4%). Kesimpulan: Terdapat hubunganantarabody image dengan pola makan siswi kelas XI dan XII SMA Muhammadiyah 7 Yogyakarta p=0,000 (p<0,05); OR=16,15 (4,41-59,18). Saran : Dapat menambahpengetahuanremajadalammemandangbody imagesecarapositifsehinggadapatmenerapkanpolamakan yang baikdansehat.
Filling Two Needs With One Deed: Combo Pricing Plans for Computing-Intensive Multimedia Applications

In this paper, we examine new plan pricing schemes for multimedia applications that offload computing-intensive tasks to computing servers incurring both communication and computing costs. Pricing schemes offered to users include: 1) a pay-as-you-go payment for usage of communication or computing resources, 2) an upfront data (resp. computing) plan for unlimited usage of communication (resp. computing) resources during a period, and 3) an upfront combo plan for unlimited usage of both communication and computing resources during a period. We aim to solve an online plan reservation problem: the amount of resources needed by a task is only known when it arrives, i.e., the future is unknown. However, even if the resource usage of future tasks is known in advance, the plan reservation problem is NP-hard and thus challenging. To tackle this problem, we propose a randomized online reservation (ROR) scheme to reserve plans probabilistically, where the probability is determined by the recent usage of resources. The performance gap (competitive ratio) between our proposed scheme and the optimal solution is analyzed and derived in closed-form, and this gap is proved to be the minimum among all online algorithms which do not know the usage of future tasks. Trace-driven simulations verify the cost advantage of ROR and characterize how different prices of plans influence users’ plan reservation strategies.