Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Corrosion and Cathodic Protection in Reinforced Concrete I. Application of Electrochemical Techniques

The electrochemical behavior of steel reinforcement in conditions of corrosion and cathodic protection was studied, using electrochemical impedance spectroscopy (EIS) and compared to reference (noncorroding) conditions. Polarization resistance (PR) method and potentiodynamic polarization (PDP) were employed as well, in addition to ac 2 pin electrical resistance monitoring, thus deriving a comparison of the involved parameters, mainly polarization resistance and bulk electrical properties, obtained by all methods. It was found out that EIS is readily applicable for evaluating electrochemical behavior of the steel surface not only for corroding or passive state, but also in conditions of cathodic protection, although the interpretation of derived parameters is not straightforward and is related to the properties of the product layers, formed on the steel surface in the different conditions. For verification of the latter dependence, EIS, PDP, and PR measurements were performed additionally in cement extract solution, using steel samples from the previously embedded rebars in all technical conditions. The bulk matrix properties in passive, corroding, or under-protection conditions can be well defined by EIS. The evaluation of the electrochemical behavior of the steel surface, in terms of deriving polarization resistance, should take into account the crystallinity, morphology, and composition of the surface layers, which were investigated by scanning electron microscopy and energy dispersive X-ray analysis.
Using Evidence Based Home Visiting for Preventing Intergenerational Adverse Childhood Experiences

A body of literature has amassed in recent years examining risk factors and outcomes for children who have experienced various forms of trauma. Childhood maltreatment in various forms has commonly been termed adverse childhood experiences (ACEs), which are severe enough to negatively impact mental and physical health in both childhood and adulthood, as well as lead to a variety of undesirable life outcomes for affected adults. Less has been studied regarding the cyclical nature of child maltreatment and the effects that parents’ own history of childhood trauma may have on their children’s experience of trauma. Recent research has evaluated intervention strategies such as evidence-based home visiting (EBHV) programs for mothers and infants/toddlers that address this phenomenon and aims to interrupt the cycle of maltreatment. The benefits of home visiting will be reviewed and policy and cost implications related to preventive intervention are discussed.
CLASSIFICATION OF LIDAR DATA OVER BUILDING ROOFS USING K-MEANS AND PRINCIPAL COMPONENT ANALYSIS

The classification is an important step in the extraction of geometric primitives from LiDAR data. Normally, it is applied for the identification of points sampled on geometric primitives of interest. In the literature there are several studies that have explored the use of eigenvalues to classify LiDAR points into different classes or structures, such as corner, edge, and plane. However, in some works the classes are defined considering an ideal geometry, which can be affected by the inadequate sampling and/or by the presence of noise when using real data. To overcome this limitation, in this paper is proposed the use of metrics based on eigenvalues and the k-means method to carry out the classification. So, the concept of principal component analysis is used to obtain the eigenvalues and the derived metrics, while the k-means is applied to cluster the roof points in two classes: edge and non-edge. To evaluate the proposed method four test areas with different levels of complexity were selected. From the qualitative and quantitative analyses, it could be concluded that the proposed classification procedure gave satisfactory results, resulting in completeness and correctness above 92% for the non-edge class, and between 61% to 98% for the edge class.
Brand Origin Identification by Consumers: A Classification Perspective

The authors apply a classification perspective to (1) examine the extent to which consumers can identify the correct country of origin (COO) of different brands of consumer durables, (2) investigate the factors facilitating/hindering correct COO identification, and (3) trace the implications of correct/incorrect COO identification on brand evaluation. The results from a U.K. sample indicate that consumers’ ability to classify brands correctly according to their origin is limited and also reveal substantial differences in the classification of different brands to their COO. Moreover, the key antecedent of correct COO identification is consumer ethnocentrism, with sociodemographics (e.g., age, gender) also playing a role. Finally, the authors find that though there are differences in brand evaluations depending on whether the correct COO was identified, such differences are not observed for all brands investigated.
MOODS: A prototype tutoring system that detects students' motivation

Previous work concerned with motivation in Intelligent Tutoring Systems (ITS) has mainly focused on the strategies that an ITS could use to motivate the student. In this paper we focus on the prior task of detecting the student’s motivational state, on which such strategies could be used. Detecting the student’s motivational state is not straightforward, since a lot of information about the student is available to a tutoring system during an instructional interaction. In this paper we discuss the advantages and disadvantages of different methods of motivation detection. We also present a couple of empirical studies that we performed in order to inform the motivation detection strategies of MOODS, a simple ITS prototype, which we also present in this paper. The approach taken for the development of MOODS is based on three main aspects: 1. The separation of the student model into two parts: one updated by the student and one updated internally by the system. 2. The separation of the motivation model into: (a) A ‘motivation state’ part, (b) A ‘motivation trait’ part. 3. The use of language as a communicator of affect. While a formal evaluation of MOODS is yet to be done, we believe that the approach presented in this paper for motivation detection allows for the development of systems which interfere very little with student’s interaction, but that at the same time are able to detect a number of situations in which motivational problems arise.
Merging Flows in Terminal Manoeuvring Areas via Mixed Integer Linear Programming

This paper focuses on the aircraft merging and sequencing problem at Terminal Manoeuvring Areas through the use of Controlled Time of Arrival (CTA). A Mixed-Integer Linear Programming formulation is proposed in order to minimize the number of non achievable CTAs while maintaining separation between aircraft with regard to the horizontal, wake-turbulence, and runway occupancy time constraints. Computational experiments performed on real-world case studies of Paris Charles De-Gaulle (CDG) airport show that the approach is viable.
Dynamic Software Adapters as Enablers for Sustainable Interoperability Networks

Enterprises are motivated to join collaborative networks, looking forward to reducing time to market, innovating products and lowering prices. However, each enterprise has its own legacy on Enterprise Information Systems, a fact that has been creating a significant interoperability problem when intending to cooperate with others using dissimilar information systems. This paper proposes to reuse existing modelling and architecture technology in a framework to support the sustainability of interoperability among networked enterprises. It suggests the implementation of dynamic software adapters to assure the continuous transformation of heterogeneous information, achieving an adaptive mechanism for interoperation among the different enterprise applications, and guaranteeing a seamless communication among the networked enterprises.
Proposed Integrated Performance Management System for Ministry of Research, Technology, and Higher Education in Indonesia

As a developing country, Indonesia still concentrates on better and sustainable quality of life. With that condition, Indonesia has to implement knowledge transfer. The model has shown the importance of knowledge transfer produced from education system, especially from higher education which produces people who are ready to contribute economically and socially to the country. Therefore, higher education as the part of the Ministry of Research, Technology and Higher Education is important to be assessed, especially regarding its performance. Each ministry has Accountability and Government Instance Performance Report or LAKIP which reports the ministries' performance each year. Unfortunately, the ministries' performance framework formulation is done only based on the objectives, not based on the vision and mission, which causes performance management system or PMS not to be comprehensively formulated and implemented. Moreover, not all Key Performance Indicators or KPIs used show the improved, declining, or actual performance. In addition, the PMS is formulated internally in each ministries, therefore the performance management system does not have wider suggestion and comparison for the best practice for developed . This research objective is to create a proposed performance management system (PMS) which is suitable to the ministry for further evaluation, diagnosis, and follow up in order to create a continuous improvement and sustainable development of Indonesia. Using the Integrated Performance Management System or IPMS from Wibisono, 2012, a simple understandable framework can be proposed which can show the comprehensive performance for non-profit organization. Additionally, it may do bench-marking externally to developed countries, so that the performance management system produced can be assessed properly. In this topic, the performance formulation is done in the corporate level, therefore the implementation needs further formulation for each level in the ministry level. Keywords— performance management system; integrated performance management system; non-profit organization; Indonesia's ministries
Overexpression of the CBF2 transcriptional Activator Enhances Oxidative Stress Tolerance in Arabidopsis Plants

The C-repeat/dehydration-responsive-element binding factor genes (CBF1-3) are transcriptional activators involved in governing plant responses to low temperatures; their overexpression enhances plant frost tolerance. We found that overexpression of CBF2 in Arabidopsis enhanced oxidative stress tolerance as compared with wild-type plants, an effect that was manifested in: increased seed germination rates on Petri dishes containing H2O2; delayed leaf senescence following incubation with H2O2; and delayed wilting and senescence after spraying whole plants with paraquat, a generator of superoxide radicals. Transcript profiling analysis using the Affymetrix ATH1 genome array revealed that overexpression of CBF2 did not affect expression of reactive oxygen-scavenging genes but rather, remarkably enhanced expression of oxidative-stress-responsive transcription factor genes. Overall, the present findings suggest that overexpression of CBF2 in Arabidopsis enhances oxidative stress tolerance, most likely via activation of a network interaction among stress-related transcription-factor genes.
Solving the Topographic Potential Bias as an Initial Value Problem

Solving the Topographic Potential Bias as an Initial Value Problem If the gravitational potential or the disturbing potential of the Earth be downward continued by harmonic continuation inside the Earth's topography, it will be biased, the bias being the difference between the downward continued fictitious, harmonic potential and the real potential inside the masses. We use initial value problem techniques to solve for the bias. First, the solution is derived for a constant topographic density, in which case the bias can be expressed by a very simple formula related with the topographic height above the computation point. Second, for an arbitrary density distribution the bias becomes an integral along the vertical from the computation point to the Earth's surface. No topographic masses, except those along the vertical through the computation point, affect the bias. (To be exact, only the direct and indirect effects of an arbitrarily small but finite volume of mass around the surface point along the radius must be considered.) This implies that the frequently computed terrain effect is not needed (except, possibly, for an arbitrarily small inner-zone around the computation point) for computing the geoid by the method of analytical continuation.
The differences in metabolic activity of subitaneous and diapause eggs in Centropages tenuiremis

The respiration and the isoenzymes of subitaneous and diapause eggs of Centropages tenuiremis in Xiamen waters of China were investigated. The results demonstrated that the average oxygen consumption of subitaneous eggs was lower than that of diapause eggs during the pre-diapause stage. The character of respiration in diapause eggs was as follows: the oxygen consumption quickly rose after spawning, and reached a maximal value, then gradually declined to a lower value that was maintained at a lower value (� 20% of the maximal value), the low value of oxygen consumption in diapause eggs was lower than that in subitaneous eggs at the same temperature (� 70%). The experimental results also indicated that among subitaneous, diapause and pre-diapause eggs of Centropages tenuiremis, the pre-diapause eggs were the most sensitive to temperature, the diapause eggs were the most insensitive; the sensitivity of subitaneous eggs to temperature was intermediate. The results also showed that there are obvious differences of isozyme patterns in malate dehydrogenase (MDH), sorbitol dehydrogenase (SDH), superoxide dismutase (SOD) and esterase (EST) between subitaneous eggs and pre-diapause eggs, and the characteristic enzyme bands for pre-diapause eggs were shown to be as follows: MDH 61 ,M DH 81 , SDH 41 , SDH 60 , SOD 97 , EST 48 , EST 59 and EST 61 ; for subitaneous eggs: MDH 59 , SDH 70 and EST 93 .
Regional Price Transmission in Southern African Maize Markets

In light of the importance of maize as a staple crop in Southern Africa, as well as its prioritisation from a policy perspective, this study evaluates the extent of price transmission between selected maize markets in the region. It employs secondary data of weekly white maize prices in seven markets in the region to quantify the long and short run price relationships between relevant markets based on geographic proximity and expected trade patterns. While several authors have noted the isolation of white maize markets in Southern Africa from the global market, this study finds evidence of co-integration between multiple maize markets within the Southern African region. By implication, policy decisions affecting prices in any single country will influence price levels in multiple surrounding markets, impacting on both producer and consumer welfare not only in the country of application but also in the region as a whole.
Biochemical Characterization of the Drosophila Polycomb protein dSfmbt

Polycomb group (PcG) proteins are transcriptional regulators that maintain the repression of a large set of developmental control genes. PcG proteins form distinct multiprotein complexes: PhoRC (Pho Repressive Complex), PRC1 (Polycomb Repressive Complex 1), PRC2 (Polycomb Repressive Complex 2) and its variant Pcl-PRC2. These complexes repress target genes by modifying their chromatin. PcG chromatin modifications are thought to provide a memory that permits the transcriptional OFF state to be maintained in a heritable manner. PcG protein complexes assemble at specific cis-regulatory sequences called Polycomb Response Elements (PREs). Although all PcG complexes are targeted to PREs, only the PhoRC subunit Pho has sequencespecific DNA binding activity. The mechanism by which PRC1 or PRC2 are targeted and tethered at PREs is only poorly understood. During my Ph. D. studies, I performed a biochemical characterization of dSfmbt, the protein that together with Pho forms PhoRC. Using a Tandem Affinity Purification strategy, I purified proteins associated with dSfmbt. These purified complexes contained not only dSfmbt and Pho but also the histone deacetylase Rpd3, the histone chaperone NAP1, the chromatin binding protein HP1b, and an uncharacterized protein, CG3363. This is further supported by the observation that in addition to the Pho and dSfmbt also Rpd3 is bound to PREs of PcG target genes. dSfmbt forms a stable complex with the PRC1 subunit Scm in vitro and these two proteins are bound at PREs of PcG target genes. Using genetic interaction assays, I found that Scm and dSfmbt act in a highly synergistic manner to repress PcG target genes in vivo during Drosophila development. Taken together, these studies thus suggest that the PhoRC complex comprises not only Pho and dSfmbt but also additional chromatinmodifying and chromatin-binding subunits. The molecular and functional interactions between dSfmbt and Scm underscore the central role of dSfmbt as a molecular adaptor between the DNA-binding Pho subunit and PRC1.
Ionospheric convection from C}luster {EDI} measurements: {C}omparison with the ground based {IZMEM ionospheric convection model

Cluster/EDI electron drift observations above the Northern and Southern high-latitude areas for more than six and a half years (Feb 2001 till Oct 2007) have been used to derive a statistical model of the electric potential distribution for summer conditions. Based on potential pattern for different orientations of the interplanetary magnetic field (IMF) in the GSM y-z plane, basic convection pattern (BCP) were derived, that represent the main characteristics of the electric potential distribution in dependence on the IMF. The BCPs comprise the IMF- independent potential distribution as well as patterns, which describe the dependence on positive and negative IMF Bz and IMF By variations. The full set of BCPs compiles a Cluster model of ionospheric convection that allows to describe the spatial and temporal variation of the high-latitude electric potential (ionospheric convection) for any solar wind IMF conditions near the Earths magnetopause. The comparison of the Cluster/EDI model with the IZMEM ionospheric convection model, which was derived from ground-based magnetometer observations, shows a good agreement of the basic patterns and their variations with the IMF. According to the statistical model, there is a two-cell anti-sunward convection within the polar cap for northward IMF Bz + ≤ 2nT, while for increasing northward IMF Bz + there appears a region of sunward convection within the high-latitude daytime sector, which assumes the form of two additional cells with sunward convection between them for IMF Bz + ~ 4 ÷ 5nT. This results in a four- cell convection pattern of the high-latitude convection. In dependence of the ±IMF By contribution during sufficiently strong northward IMF Bz conditions, a transformation to three-cell convection patterns appears.
Geochemical Studies around Lattavaram Kimberlite Cluster, Eastern Dharwar Craton, India: Spatial and Statistical Analyses

In recent years, many kimberlite pipes were discovered in Eastern Dharwar Craton by public and private organizations. Majority of diamondiferous pipe clusters occur in Anantapur District of Andhra Pradesh state. Lattavaram kimberlite cluster is one among them and the four pipes in this cluster are reported to be diamondiferous. A spatial and statistical study based on geochemistry of clay fraction (-80 mesh) of the stream sediments, in south of Lattavaram Kimberlite Cluster, for major and minor element was carried out. Subsequent data interpretations revealed that sediments in the proximity of the pipe have dominance of certain trace elements as observed in the primary kimberlite. The dispersion patterns through geochemical mapping showed that certain elements like TiO 2 , CaO, Na 2 O, Nb, Co, Ni, and Zr have higher pulses. Correlation exists between major oxides and minor elements from which anomalous areas can be detected. It is envisaged that stream sediment geochemistry can be used as a regional exploration tool in identifying the provenance, prioritizing the catchments and thereby locating kimberlite pipes.
Identification of rotary machines excitation forces using wavelet transform and neural networks

Unbalance and asynchronous forces acting on a flexible rotor are characterized by their positions, amplitudes, frequencies and phases, using its measured vibration responses. The rotary machine dynamic model is a neural network trained with measured vibration signals previously decomposed by wavelets. A typical compaction ratio of 2048:4 is achieved in this application, considering the stationary nature of the measured vibrations signals and the shape of the chosen wavelet function. The Matching Pursuit procedure, coupled to a modified Simulated Annealing optimization algorithm is used to decompose the vibration signals. The performance of several neural network with different input database sets is analyzed to define the best network architecture in the sense to achieve successful training, minimum identification error, with maximum probability to give the correct answers. The experiments are conducted on a vertical rotor with three rigid discs mounted on a flexible shaft supported by two flexible bearings. The vibration responses are measured at the bearings and at the discs. A methodology to balance flexible rotors based on the proposed identification methodology is also presented.
Phytochemical status of some selected medicinal plants(Eclipta alba, Cathranthus roseus and Swertia chirata)

In the present study three medicinal plants i.e. Ecliptic alba, Cathranthusroseus and Swertiachirata were selected and screened for different bioactive compounds of medicinal importance. For this purpose methanolic extracts of the leaves and stems of these medicinal plants were prepared and tested for the presence of different phytochemical compounds. These plants were found to contain alkaloids, carbohydrates, phenols, tannins, flavonoids, proteins, saponins and glycosides. Presence of alkaloids was higher in the leaves and stems of C. roseus as compared to E. alba and S. chirata. However, carbohydrates and proteins were similar in the methanolic extract of leaves and stems of all the three plants. Qualitative analysis showed that the total flavonoids contents were 15.5, 16.2 and 18.3 mg/g in leaves and 8.5, 9.4 and 9.2 mg/g in stems of Ecliptaalba, Cathranthusroseus and Swertiachirata, respectively. Thetotal phenolic contents were 7.4, 8.3 and 5.5 mg/g in leaves and 4.9, 5.3 and 6.2 mg/g in stems of E.alba, C.roseus and S.chirata, respectively. Presence of different bioactive compounds in the methanolic extracts of leaves and stems of these plants suggested that they may be effectively used in the traditional medicine system for the treatment of different disease conditions.
The managerial competencies required by Indonesias leading hotel groups: A preliminary investigation

This study investigates contents from the websites of leading hotel groups in Indonesia which specify the competencies that are required by star hotels for potential managerial level recruits. This preliminary investiga-tion identified a list of competencies that are expected by hotels and incorporated them into Sandwiths competency domain model with a view to determining the essential competencies. The results showed that leader-ship and interpersonal competencies were deemed as the most expected competencies at both junior and senior management levels. The identified competencies may be used as a basis for providing a better understanding of hotel manager competencies as a foundation for improving hospitality curricula in Indonesia.