Miracle-dz/UniFAR-FTUs huggingface dataset:
MS o CMAC NEURAL NETWORK LEARNING MODEL IN STRUCTURAL ENGINEERING By

The present American Institute of Steel Construction specifications use the alignment charts and approximate formulas conveniently to determine some coefficients in design, such as moment gradient coefficient Cb for beams of I-shaped section and effective length factor K of columns. In these methods, the coefficients are unconservative when the boundary conditions are different from the development of specifications. The governing equations, numerical approaches, on the K and Cb coefficients provide more accurate results. The approaches, however, are not readily available for structural engineers to use in design. Applying neural network computing toward structural engineering problems has received increasing interest, with particular emphasis placed on supervised neural networks. The cerebellar model articulation controller (CMAC), one of the supervised neural network learning models, is mostly used in the domain of control. In this work, we use a newly developed Macro Structure CMAC (MSoCMAC) neural network learning model to aid steel structure design. The topology of the novel learning model is constructed by a number of time inversion CMACs as a tree structure. The learning performance of the MSoCMAC is first compared with a stand-alone time inversion CMAC using one structural engineering example. That comparison indicates not only superior prediction but also fast learning propriety for the MSoCMAC neural network learning model. In addition, the MSoCMAC neural network learning model is applied to two steel design problems. It is shown that the MSoCMAC not only can learn structural design problems within a reasonable central processing unit time but also can estimate more accurate coefficients than that estimated through alignment charts and approximate formulas in American Institute of Steel Construction specifications.
Does calcined bone meal serve as phosphate for pastures in family farming

To support rural extension activities for family farming in the western Amazon, we evaluated the production of Mombasa grass ( Panicum maximum Jacq) as a function of phosphorus sources (single superphosphate and calcined bone meal) and rates (100, 200, and 400 kg ha -1 P 2 O 5 ). The experimental design was a randomized complete block, in a 2x3+1 factorial scheme. The use of calcined bone meal yielded a dry matter (1.73 t ha -1 cutting -1 ) and a plant height (55 cm) higher than the control (1.03 t ha -1 cutting -1 and 35 cm, respectively). How­ever, the values were lower than those obtained with single superphosphate (3.19 t ha -1 DM and 91 cm in height). Regarding the dry matter production in the experimental period (202 days, five cuttings), the calcined bone meal promoted 54% of the production obtained with the use of single superphosphate.
On the application of scale space techniques in digital photogrammetry

Scale space techniques are widely used in digital photogrammetry. Typical implementations use the scale space as a discrete representation, thus inherently assuming that all features represented in images of similar resolutions belong to the same scale space level. However, this approach ignores differential scale variations that exist between conjugate features in multiple images, or even between different features in a single image. The subject of this paper is an investigation into theoretical and practical aspects associated with the use of scale space techniques in both the image and object space domains. The interrelationship between the scale space representations of these two domains and the effects of differential scale variations in digital photogrammetric operations, such as matching, object space reconstruction, and orthophoto production are also addressed.
Tracing The Impacts Of Rare Earth Element Shocks On High-Tech Industry Performance And Relocation

This paper investigates the effect of rare earth element (REE) price shocks on high-tech industry performance and relocation. For this, methods of time series econometrics are employed to analyse data from the first REE crisis 2010-2012. We focus on the high-tech industries of the US, China and Japan. Evidence is presented for adverse effects in the US high-tech industry, positive effects in the Chinese high-tech industry and resource shock driven foreign direct investment into China. These findings suggests REE resource driven and efficiency seeking relocations of high-tech operations to China.
A New Formulation for Cost-Sensitive Two Group Support Vector Machine with Multiple Error Rate

Support vector machine (SVM) is a popular classification technique which classifies data using a max-margin separator hyperplane. The normal vector and bias of the mentioned hyperplane is determined by solving a quadratic model implies that SVM training confronts by an optimization problem. Among of the extensions of SVM, cost-sensitive scheme refers to a model with multiple costs which considers different error rates for misclassification. The cost-sensitive scheme is useful when misclassifications cannot be considered equal. For example, it is true for medical diagnosis. In such cases, misclassifying a patient as healthy implies more loss in comparison to the opposite loss. Therefore, cost-sensitive scheme poses as a modified model and hereby aims at minimizing loss function instead of generalization error. This paper, concentrates on a new formulation cost-sensitive classification considering both misclassification cost and accuracy measures. Also, in the training phase a new heuristic algorithm will be used to solve the proposed model. The superiority of the novel method is affirmed after comparing to the traditional ones.
Sustainable HRM: Bridging theory and practice through the ‘Respect Openness Continuity (ROC)’-model

Although the academic debate on the link between Corporate Social Responsibility (CSR) and HRM is relatively young, it is generating increasing interest. We suggest that sustainable HRM is a next, innovative and promising domain for theory building, research and practice in the field of HRM. It nonetheless poses several new challenges. To date, the literature on this topic is inconsistent, and the field therefore lacks clear lines, fine-tuning and conceptual/practical maturity. In this context, the ‘Respect Openness Continuity (ROC)’-model is introduced. This model proceeds from the proposition that sustainable HRM forms a subsequent stage in the tradition of HRM thinking. In recent years, mainstream HRM has been strongly identified with strategic HRM thinking. In developing a model for sustainable HRM, various theoretical viewpoints beyond the strategic HRM tradition are explored and assessed for their potential contributions to a framework for sustainable HRM that can bridge theory and practice.
Phosphorus and the roles of productivity and nutrient recycling during oceanic anoxic event 2

Four sections documenting the impact of the late Cenomanian oceanic anoxic event (OAE 2) were studied in basins with different paleoenvironmental regimes. Accumulation rates of phosphorus (P) bound to iron, organic matter, and authigenic phosphate are shown to rise and arrive at a distinct maximum at the onset of OAE 2, with an associated increase in δ 13 C values. Accumulation rates of P return to preexcursion values in the interval where the δ 13 C record reaches its fi rst maximum. An offset in time between the maximum in P accumulation and peaks in organic carbon burial, hydrogen indices, and Corg/Preact molar ratios is explained by the evolution of OAE 2 in the following steps. (1) An increase in productivity increased the fl ux of organic matter and P into the sediments; the preservation of organic matter was low and its oxidation released P, which was predominantly mineralized. (2) Enhanced productivity and oxidation of organic matter created dysoxic bottom waters; the preservation potential for organic matter increased, whereas the sediment retention potential for P decreased. (3) The latter effect sustained high primary productivity, which led to an increase in the abundance of free oxygen in the ocean and atmosphere system. After the sequestration of CO 2 in the form of black shales, this oxygen helped push the ocean back into equilibrium, terminating black shale deposition and removing bioavailable P from the water column.
Reduction of ferric iron by heterotrophic bacteria in lake sediments

SUMMARY: The addition of Fe(III) to anoxic lake sediments decreased the quantity of volatile fatty acids which accumulated. Similarly, the addition of several substrates to the sediments stimulated the rate of reduction of the naturally occurring Fe(III). Of the substrates used, malate caused the greatest stimulation, and subsequently a malate-fermenting Vibrio was isolated from the sediment. This organism also reduced NO− 3 and Mn(IV), the addition of which to the growth medium significantly lowered the rate of Fe(II) formation. The presence of Fe(III) in the medium increased the molar growth yield by 28% and this did not appear to be associated with the presence of particulate matter or changes in pH and E h. The addition of Fe(III) to the growth medium also produced a minor shift in the fermentation end-products, with a decrease in the quantity of ethanol formed and a concomitant increase in volatile fatty acids, both of which were of the same order as the amount of Fe(III) reduced. It would appear, therefore, that the presence of Fe(III) might permit a slight diversion of metabolism to more energetically favourable end products. The scale of iron reduction, both in the field and the laboratory, was very small compared with the reducing potential of the available substrates.
A Data Mining Based Approach for Determining the Potential Fishing Zones

 Abstract—The aim of this paper is to analyze the determination of the potential fishing zones based on data mining approach. The algorithm utilized in this study is AGRID+, a grid density based clustering for high dimensional data. The case study area is in eastern Indian Ocean located at 16.56 - 2 S and 100.49 - 140 E. The algorithm is implemented in 7 phases, partitioning, computing distance threshold, calculating densities, compensating densities, calculating density threshold, clustering and removing noise. The clustering result is evaluated by the Silhouette index. The results of the study show that the best cluster formed at daily aggregate temporal with number of cell (m) = 14 and the number of cluster formed was 50 clusters. The constant execution time is in line with the increasing the value of m. From three different temporal aggregate, the daily aggregate is running relatively constant for various m value. To determine the potential fishing zones for different temporal aggregate can be achieved by applying the thresholding technique to the cluster result. Utilizing the data mining approach yielded a prominent 22 daily clusters identified as potential fishing zone. remote sensing data and fishery data (3). The latest study on determining the potential fishing zone utilizing a clustering technique to set a rough map of potential fishing zone based on fishing data (4). In this study, we need a clustering algorithm that can treat spatio-temporal data used to determine the potential fishing zone by grouping the fishing areas based on location and time. The grid-density based clustering method is used to cluster fishing area. This method is called AGRID+ proposed by Zhao et al. (5). Referring to the clustering result, we can determine whether the area is potential area or not based on the criteria from expert. The contribution of our paper is to propose an alternative approach to determine the potential fishing zone utilizing data mining technique.
3D topographic monitoring of earth surface deformation using multitemporal UAV photography

Accurately assessing geohazards and quantifying landslide risks in mountainous environments gain importance in the context of the on-going global warming. For an in-depth understanding of slope failure mechanisms, accurate monitoring of the mass movement topography at high spatial and temporal resolutions remains essential. The choice of the acquisition framework for high-resolution topographic reconstructions will result from the trade-off between the spatial resolution needed and the extent of the study area. Recent advances in the development of UAV-based (Unmanned Aerial Vehicle) image acquisition combined with Structure-from-Motion (SfM) algorithm for 3D reconstruction makes the UAV-SfM framework a competitive alternative to other high-resolution topographic techniques. In this study, we test the performance of the UAV-SfM framework to monitor ground surface displacements at very high spatial and temporal resolution, and apply it to the Schimbrig earthflow located in the foothills of the Central Swiss Alps. We produced distinct topographic datasets for three acquisition dates between 2013 and 2015 in order to conduct a comprehensive 3D analysis of the landslide. Therefore, we computed (1) the horizontal and (2) the 3-dimensional surface displacements, and (3) the sediment budget of the hillslope. The multitemporal UAV-SfM based topographic reconstructions allowed us to quantify rates of sediment redistribution and surface movements. Our data show that the Schimbrig earthflow is very active with mean annual horizontal displacement ranging between 6 and 9 meters. The reconstruction of the dynamic topography at very high spatial resolution reveals the internal mechanisms of the earthflow and its complex rotational structure. Although there are major changes in the internal structure of the earthflow in the 2013–2015 period, the sediment budget of the drainage basin is nearly in equilibrium. As a consequence, our data show that the time lag between sediment mobilization by landslides and enhanced sediment fluxes in the river network can be considerable.
Safety of the Influenza A (H1N1)2009 Vaccine in Chronic Obstructive Disease: A Matched Case-Control Study

Background: The safety of influenza A (H1N1) 2009 among chronic obstructive pulmonary disease (COPD) patients has not been investigated yet. Our objective was to investigate the safety of the A (H1N1) 2009 vaccine, especially for mortality after vaccination. Methods: From October 2009 to March 2010, we collected records from all Japanese hospitals registered in the Japanese Respiratory Society. We conducted a 1:1 matched case-control study. Patients with COPD who died in the study period were determined as case group patients (n=36). Patients with COPD who survived the study period were determined as control group patients (n=36). In the control group selection process, we selected age, sex, period of home oxygen therapy (measure for COPD severity), hospital, and calendar time as matching factors. We then compared the proportion of patients who received the influenza A (H1N1) 2009 vaccine in each group and evaluated the conditional odds ratio. Results: Both the case and control groups had 36 COPD patients, 32 of whom were men. The mean age was 76.6 years (SD=8.6) in the case group and 76.9 years (SD=8.3) in the control group. The mean period of home oxygen therapy in both groups was 1.8. The proportion of patients receiving A (H1N1) 2009 vaccinations was 47.2% in the case group and 63.9% in the control group. The crude conditional odds ratio of mortality in the winter was 0.33 (95% confidence interval: 0.06-1.34) and adjusted conditional odds ratio was 0.37 (95% confidence interval: 0.09-1.52) with no significance. Conclusions: Our study detected no statistically increased risk of mortality after influenza A (H1N1) 2009 vaccination among COPD patients. The results are, however, limited by the small sample size and low statistical power. A similar larger-scale study is needed in the future to confirm our findings. Journal of Vaccines & Vaccination J o ur al of Va ccines & Vainati o n
The German HGV-Toll

After many delays, technological problems, and renegotiations between the government and the system operator Germany has successfully introduced a satellite based tolling system for heavy goods vehicles (HGVs) in January 2005. Since then the system is running smoothly. Currently the toll applies only to state motorways (the so called Autobahnen) but there are plans to extend it to the secondary level of federal long-distance roads (the Bundesfernstrassen). This paper describes the political and economic background of the introduction of the HGV-toll in Germany. The paper sketches the history of the implementation process, describes the major structural elements of the toll, and discusses current problems and possible future developments. Finally some policy conclusions are drawn.
Entropies of the partitions of the unit interval generated by the Farey tree

LetFn be the set of fractions p=q2 [0; 1] such that the sum of partial quotients in their continued fraction representation is not greater than n. We consider the sum (Fn) = P (qq 0 ) taken over the denominators of neighbouring fractions inFn and prove that for all > 1 (Fn) = 2 n
CREATING BUG REPOSITORY IN THE FIELD OF SOFTWARE INDUSTRY

An unavoidable step of fixing bugs is bug triage, which aims to properly assign a developer to a different bug. We combine instance selection with feature selection to concurrently reduce data scale around the bug dimension and also the word dimension. To lower time cost in manual work, text classification techniques are put on conduct automatic bug triage. Within this paper, we address the issue of information reduction for bug triage, i.e., how you can lessen the scale and improve the caliber of bug data. Software companies spend over 45 percent of cost in working with software bugs. To look for the order of applying instance selection and have selection, we extract attributes from historic bug data sets and make a predictive model for any new bug data set. The outcomes reveal that our data reduction can effectively lessen the data scale and enhance the precision of bug triage. Our work provides a technique for leveraging techniques on information systems to create reduced and-quality bug data in software development and maintenance. We empirically investigate performance of information reduction on totally 600,000 bug reports of two large free projects, namely Eclipse and Mozilla.
Water quality and Rotifer diversity in the fish pond at district Mianwali, Pakistan

Present study was conducted seasonally to assess the rotifer species richness, diversity, and evenness in a fish pond from December 2006 to June 2007.An attempt was also made to explore the state of the pond in relation to physico-chemical parameters. 16 rotifer species belonging to 11 genera were identified. Rotifers were more prevalent in summer than in winter. Seasonal variations were observed in the correlation of rotifer population and physico-chemical characteristics. However, rotifers expressed, usually, positive correlation with temperature, pH, DO and conductivity, whereas negative correlation with all the other factors. Species diversity, evenness and richness were highest in summer and lowest in winter. Analysis of variance showed that there were significant differences in the physico-chemical characteristics of water as well as rotifer diversity in different seasons.
Carbohydrate and Mineral Content of Chyote (Sechium edule) and Bottle Gourd (Lagenaria Siceraria)

Abstract With peel and without peel samples of two vegetable viz. Chayote (Sechium edule) and bottle (Lagenaria siceraria) ground both belonging to the family cucarbitacae were analysed for their carbohydrate content viz. crude fiber reducing sugars, non reducing sugars and different dietary fiber constituents like, NDF, ADF, legnin cellulose and hemicelluloses and mineral’s like calcium, phosphorus and iron content and minerals. Chayote was found to be better in dietary fiber constituents, who are significantly higher when compared with bottle gourd, but total sugar, reducing sugars and non reducing sugars were significantly less in chayote
Framework: Activity-based costing in services

Organizations have a constant need to be prepared to continue competing, which shows the search for alternatives for their stay in the market. It has become a common goal in today's business environment, to improve efficiency and restructure organization, turning it effective. In this context, information about costs has become increasingly important to support and justify the process of decision-making. This article is aimed at structuring a bibliography portfolio to treat the application of the ABC method in service and contribute to discussions within the scientific community. The methodology followed a three-stage procedure: Planning, execution and Synthesis. International databases were used to collect information (ISI Web of Knowledge and Scopus). As a result, we obtained a bibliography portfolio of 21 articles (with scientific recognition) dealing with the proposed theme.
Tech United Eindhoven RoboCup adult size humanoid team description 2012

This document presents the 2012 Tech United Eindhoven adult size humanoid robot team from The Netherlands. The team contributes the adult-size humanoid robot TUlip. Here we present the mechanical design and kinematic structure of the robot. We introduce the walking gait and contribute a controller structure including gravity compensation. Finally, we describe the vision system, self localization and world model, which are used for the attacker and defender strategy in the humanoid robot soccer game.
Teacher Leadership through Collaborative Action Research: Implications for Teachers, Principals, and University Researchers/Teacher Educators.

This study was conducted to explore the process of teacher and principal change initiated by elementary school teachers who wished to replace the school's culture of isolation and seclusion with a culture of collegiality and caring. Their vision of change and the change process itself was intertwined with the development of a sense of teacher leadership and teacher voice. The teachers, the principal, and a university researcher engaged in an action research project to explore, initiate, implement, and document change at the school. Data were gathered utilizing participant observation, ethnographic interviewing, document analysis, and dialogue journals. Results suggest that voice and reflection are the common threads that weave cultural change, and that teacher, principal, and researcher narratives change into one collective narrative. A subsection of the paper examines the assertion that the nature of one's own voice, critical reflection, and change are intimately linked. The finding and silencing of voice, critical reflection, and change are reciprocal, interactive, and dynamic processes. (Contains 20 references.) (LL) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Teacher Leadership Through Collaborative Action Research: Implications for Teachers, Principals, and University Researchers/Teacher Educators