Miracle-dz/UniFAR-FTUs huggingface dataset:
Signalling a new trend in executive coaching outcome research

This contribution argues for a new way of studying executive-coaching outcome. The argument accepts that we are not likely to get rigorous data on coaching outcome from well-designed clinical trials in the near future, and assumes a degree of effectiveness that is based upon the first indications and the more rigorous studies that have been undertaken in psychotherapy. Assuming a moderate degree of effectiveness has afforded a concerted effort amongst researchers to identify the ‘active ingredients’ which predict the effectiveness of executive coaching.This article contains a detailed overview of the quantitative studies of executive coaching undertaken to date. It covers both the body of evidence which we believe substantiates our key assumption of general effectiveness and some early research findings resulting from using that assumption. It also gives a brief overview of the findings of the more rigorous randomised control trials in psychotherapy outcome. Altogether we believe we have demonstrated that there are sufficient parallels between the new path of coaching outcome research and the well-trodden path of psychotherapy research to enable the exploration of ‘active ingredients’ research in executive coaching.By combining the early results in coaching research described in this paper and the overview of meta-analysis studies in the parallel field of psychotherapy, we have been able: (1) to show that – although the effect sizes in coaching are generally found to be smaller than in psychotherapy – it is safe to assume that executive coaching is generally an effective intervention, and: (2) to use that assumption as a basis for further coaching research. We have used this assumption ourselves to carry out research into the ‘active ingredients’ of effective coaching and to design a new research programme on a scale that has not previously been possible.It is time now to be creative and pull together the limited resources for research we have in coaching psychology. As a profession we should make the most of this opportunity to discover how we might improve our service to our clients.
Ship-of-Opportunity Monitoring of the Chilean Fjords Using the Pocket FerryBox

Results from two field campaigns in the Chilean fjords region are presented to demonstrate the benefits and limitations of the ‘‘pocket FerryBox’’ for monitoring from ships of opportunity. The October 2009 (spring) campaign covered the region of the Chilean coast between 41.58 and 46.78S, and that in March 2010 (autumn) covered the region between 41.58 and 51.88S. In the campaigns the pocket FerryBox—a portable flow-through system for underway multiparametric monitoring—was installed temporarily on board the vessel M/V Ro-Ro Evangelistas. The taking of water samples allowed posterior calibration of the sensors and analyses for nutrients and plankton. The pocket FerryBox may be configured with multiple sensors [in this case temperature, salinity, dissolved oxygen, chlorophyll-a fluorescence, pH, turbidity, and colored dissolved organic matter (CDOM)] and includes the hardware and software for data acquisition and real-time presentation. In the Chilean campaigns multiple transects of up to 1700 km in length were obtained, which provided a unique and highly valuable dataset at a very low cost. The data uncovered a number of previously unreported results, including a tidally driven low dissolved oxygen zone in the Corcovado Gulf, a high level of spatial and temporal variability of, and a complex relationship between, dissolved oxygen and chlorophyll-a fluorescence, and the detection of high concentrations of CDOM in the vicinity of the Laguna San Rafael. The campaigns confirm that the pocket FerryBox may be easily installed on board ships of opportunity to obtain rapid, lowcost, and spatially extensive surveys of highly relevant surface water properties.
Origin and abundance of beach debris in the Balearic Islands

The abundance, nature and possible sources of litter on 32 beaches on the Balearic Islands (Mediterranean Sea) were investigated in 2005. Mean summer abundances in the Balearics reached approximately 36 items m -1 , with a corresponding weight of 32±25 g m -1 , which is comparable to the results of other studies in the Mediterranean. Multivariate analyses (principal component analysis and redundancy analysis) confirmed strong similarities between islands and a statistically significant seasonal evolution of litter composition and abundance. In summer (the high tourist season), debris contamination expressed as item abundance was double that in the low season and showed a heterogeneous nature associated with beach use. Cigarette butts were the most abundant item, accounting for up to 46% of the objects observed in the high tourist season. In contrast, plastics related to personal hygiene/medical items were predominant in wintertime (67%) and natural wood was the most important debris by weight (75%). In both seasons, litter characteristics suggested a strong relationship with local land-based origins. While beach users were the main source of summer debris, low tourist season litter was primarily attributed to drainage and outfall systems.
Wavelet analysis of GRACE K-band range rate measurements related to Urmia Basin

Space-borne gravity data from Gravity Recovery and Climate Experiment (GRACE), as well as some other in situ and remotely sensed satellite data have been used to determine water storage changes in Lake Urmia Basin (Iran). As usual, the GRACE products are derived from precise inter-satellite range rate measurements converted to different formats such as spherical harmonic coefficients and equivalent water thicknesses of juxtaposed tiles in which the corresponding mass anomalies are estimated, resulting in missing information during these time-consuming processes. In this paper, GRACE level 1B Kband range rates related to Urmia Basin are corrected for non-hydrological processes and the resulting time series are analyzed using wavelet transformation. On the one hand, direct corrected range rates are employed to make an unevenly spaced time series. In addition, the monthly mean measurements of the same type are applied to create a uniform time series. Therefore, a wavelet-based least-squares spectral analysis method is introduced to extract the general behavior of irregularly sampled time series. In addition, the classical wavelet transformation is used to analyze the monthly averaged time series. The results indicate that the extracted coarse parts of the corrected range rates have significantly changed between 2007 and 2008, which are in good agreement with the total water storage (TWS) changes modeled in Urmia Basin, as well as with the similar previous research findings. Besides, the time-frequency behavior of both TWS changes and monthly averaged range rate time series show that the extracted annual constituents, as the main parts of the signals, have mainly weakened after 2007.
Development of a Prediction Engine for Scientific Technology Trends

The Delphi method is typically used to predict promising technologies that may be invented in the future, but this approach is a difficult process that entails considerable time and cost. An alternative is latent Dirichlet allocation (LDA), which is a topic modeling method. In this research, LDA was used to develop a fast and low-cost prediction engine for scientific technology trends. The proposed engine features the use of text mining that is targeted toward the abstracts of patent documents. Aside from LDA, required fundamentals were used as bases for the design of the proposed engine. The results are expected to contribute to future research on scientific technology trends. The developed engine can also be used as an economical, automated prediction system in other related fields.
Community ecology of epiphytic Bromeliaceae in a remnant of Atlantic Forest in Zona da Mata, Minas Gerais State, Brazil 1

Community ecology of epiphytic Bromeliaceae in a remnant of Atlantic Forest in Zona da Mata, Minas Gerais State, Brazil). The present study aimed to document the composition, richness, diversity as well as horizontal and vertical distribution of epiphytic Bromeliaceae in a fragment of submontane seasonal semideciduous forest in Minas Gerais State (-21°38'15''S, -43°10'55''W). Three plots (semicircles with a radius of 25 m) were marked and we found 72 phorophytes that harbor 15 species of epiphytic Bromeliaceae, distributed in nine genera. Nidularium azureum (L.B.Sm.) Leme is local endemic, and considered critically endangered. In general, the richness is higher than other larger areas of seasonal semideciduous or even ombrophilous forests. Some differences concerning composition, diversity and richness among the plots were found and must be due to microhabitat conditions. Trunks supported most occurrences (101 out of 246) and Tillandsia stricta Sol. ex Sims had the highest frequency on the phorophytes. The values of H' = 2.34 and J = 0.87 must be considered similar or even higher than some ombrophilous forests.
Effects of Adjusting Data-Rate and physical Characteristics on the Delay Metric in Ieee802.11b Wireless Local Area Network

The IEEE802.11b is one of the protocol standards used in Wireless Local Area Network (WLAN). There are several parameterswhich must be considered when handling IEEE802.11b. Theseparameters are tuned or adjusted to a certain level for proper enhancement of qualities of service or metrics.Some of theseparameters are the datarate, buffer Size, fragmentation threshold (FTS), Receive to Send/Clear to Send (RTS/CTS) threshold, physical characteristics, etc. Those qualities of service or metrics are the throughput, data dropped, delay, load,media access delay, retransmission attempts, etc. However, this paper analyzes the effects of adjusting the data-rate and physical characteristicsparameters on the delay metric in IEEE802.11b WLAN network. The simulation study was carried out using OPNET IT Guru 9.1simulator; with the result being satisfactory and was used to validate the theoretical concepts of delay metric in Wireless LAN network.
Capability flexibility: a decision support methodology for parallel service and manufacturing systems with flexible servers

To obtain improved performance, many firms pursue operational flexibility by endowing their production operations with multiple capabilities (e.g., multi-skilled workers, flexible machines and/or flexible plants). This article focuses on the problem of ranking (according to average wait in queue) alternative system designs that vary by capacity and the structure of capabilities for open, parallel queueing networks with partially flexible servers. Prior literature introduced the Structural Flexibility (SF) concept and because the SF method was intended for a strategic context with very little information, it did not incorporate mean service times by demand type, server speeds, or wide ranges in demand arrival rates. This article develops the Capability Flexibility (CF) index methodology to extend the range of operational environments and designs that can be ranked. By showing the effectiveness of a deterministic, second-order approximation of a capability-design's relative flexibility/performance—the CF index—it proved possible to establish the insight that the proposed simple deterministic approximation of these complex stochastic is able to capture the dominant drivers of congestion of one design relative to another.
A TEST OF PREDICTIONS FROM FIVE STUDIES ON TELEPATHIC GROUP COMMUNICATION OF EMOTIONS

The purpose of the present study was to test a set of predictions from a previous series of telepathy studies, involving 337 university students. In these studies, groups of receivers were asked to discriminate between positive and negative emotional slide pictures that were being looked at by groups of senders. The senders and the receivers were sequestered in separate acoustically insulated rooms. None of the eight predictions was confirmed by data from a replication study, involving a total of 605 university students as participants. Discussed are three explanations denying that any telepathic communication occurred, either in the original series of experiments or in the new ones, and three explanations assuming that some telepathic communication did occur, after all. The three explanations denying the occurrence of any telepathic effect were: (1) All significant results obtained in the original experiments were caused by random variation. (2) The replication experiments were better controlled than the original experiments. (3) The original positive results were obtained through systematic selection. All of these three explanations were judged to be plausible. The three explanations assuming that some telepathic communication did occur were: (1) Some of the eight hypotheses were only partly true and need to be modified. (2) The distribution(s) of some critical person or situation variable(s) had changed during the six years of experimentation, which, in turn, has affected the results. (3) The replication experiments were run at less favourable times with respect to some physical factors: local sidereal time (LST) – an astronomical time and space measure, which is indirectly related to the magnitude of cosmic radiation that reaches the earth – and
The Development of Lecturers’ Performance on Private University

This research aims to describe the quality and quantity on lecturers’ performance in running tri dharma of higher education, analyzing lecturers’ performance programs which have been done to understand the effect of those programs, and plan performance programs to enhance lecturers’ performance. The approach which is used in this research is Research and Development that was proposed by Borg and Gall. Development models in this research are through the stage of conceptual model, theoretic model, hypothetic model and final model. However, this article will discuss until theoretic model only. Findings in this research show that there is a low number of professors, most private universities are still under the higher education standard, the competencies of lecturers are not optimum yet in running tri dharma of higher education, particularly in the field of research in which in this context it shows the low number of lecturers’ capacity in publishing scientific articles, there are lecturers who have not still had functional positions yet, and there are stakeholders demands which are stronger to private university doing the changes in order to improving the management quality of higher education, so it can produce qualified graduates. The result of this research is the Integrated Lecturer Performance Development Program which is hoped to be able to improve lecturers’ performance in running tri dharma of higher education. It is especially in scientific publication which will affect in enhancing lecturer productivities in the end, so it can contribute on the development of private university to good university governance. Keywords—integrated; lecturer performance; development program
A Collection-Distribution Center Location and Allocation Optimization Model in Closed-Loop Supply Chain for Chinese Beer Industry

Recycling waste products is an environmental-friendly activity that can result in manufacturing cost saving and economic efficiency improving. In the beer industry, recycling bottles can reduce manufacturing cost and the industry’s carbon footprint. This paper presents a model for a collection-distribution center location and allocation problem in a closed-loop supply chain for the beer industry under a fuzzy random environment, in which the objectives are to minimize total costs and transportation pollution. Both random and fuzzy uncertainties, for which return rate and disposal rate are considered fuzzy random variables, are jointly handled in this paper to ensure a more practical problem solution. A heuristic algorithm based on priority-based global-local-neighbor particle swarm optimization (pb-glnPSO) is applied to ensure reliable solutions for this NP-hard problem. A beer company case study is given to illustrate the application of the proposed model and to demonstrate the priority-based global-local-neighbor particle swarm optimization.
Stability, persistence and habitat associations of the pearl darter Percina aurora in the Pascagoula River System, southeastern USA

: The southeastern United States represents one of the richest collections of aquatic biodiversity worldwide; however, many of these taxa are under an increasing threat of imperilment, local extirpation, or extinction. The pearl darter Percina aurora is a small-bodied freshwater fish endemic to the Pearl and Pascagoula river systems of Mississippi and Louisiana (USA). The last collected specimen from the Pearl River drainage was taken in 1973, and it now appears that populations in this system are likely extirpated. This reduced the historical range of this species by approximately 50%, ultimately resulting in federal protection under the US Endangered Species Act in 2017. To better understand the current distribution and general biology of extant populations, we analyzed data collected from a series of surveys conducted in the Pascagoula River drainage from 2000 to 2016. Pearl darters were captured at relatively low abundance (2.4 ± 4.0 ind. per collection) from 57% of 308 collections. We identified strong relationships between local habitat variables and occurrence and catch-per-unit-effort (CPUE) of pearl darters. Pearl darters were frequently encountered and in greater abundance in depositional areas characterized by low-velocity habitats and finer substrates. Patterns of occurrence and CPUE were spatiotemporally variable across years; however, repeated collections from a subset of localities collected across a decade or more indicated long-term persistence and stability, suggesting population resilience throughout the Pascagoula River drainage.
Linear bases for representation of natural and artificial illuminants

By the principal-value decomposition process, we have obtained two linear bases for representing the spectral power distributions of illuminants, applicable for algorithms of color synthesis and analysis in artificial vision: one from experimental measurements of daylight and another combining both natural and artificial illuminants. The first basis adequately represents daylight with dimension 3, in accordance with the previous results of Judd [J. Opt. Soc. Am.54, 1031 (1964)]; however, it does not adequately represent artificial illuminants, even with a higher dimension. In the case of the second basis, many good results are obtained in the reconstruction of the spectral power distribution both of daylight and of artificial illuminants, including some fluorescent lights, with dimension 7 or even less. In consequence, we show the possibility of obtaining linear bases of a low dimension, even when the set of illuminants that we try to represent presents a certain variability in shape.
Between the Government and the Press

Although the source-reporter relationship forms the focal point of newsgathering in any political conflict, most of the source-reporter literature focuses on the routines and values of the reporter. This is the first study that investigates the power dynamics involved in the relationship between the Western correspondents stationed in Egypt and Israel and the official press relations practitioners in the two countries. Approximately 88 percent of the Western correspondents in Egypt and Israel and three government press relations directors were interviewed in late 1998 to determine their role perceptions within the context of two theoretical models: the news-making model and the public relations two-way asymmetric model. Correspondents said analysis of complex issues was their primary role, and public relations officials said theirs was provision of information to correspondents. Correspondents said Israeli officials were far more accessible than their Egyptian counterparts. This makes them easier to work with but makes correspondents more skeptical of the information they provide. The news-making model best describes the relationship.
Phytochemistry and antioxidant activity of Lallemantia iberica aerial parts

Background and objectives:Lallemantia iberica (Lamiaceae) is a medicinal plant distributed in different parts of Iran. This research, has evaluated the phytochemical constituents and antioxidant activity of the aerial parts of the plant. Methods: Different chromatographic methods such as column chromatographies using Silica gel (normal and reversed phases), Sephadex LH-20 and HPLC were used for isolation of the compounds from the ethyl acetate and methanol extract of L. iberica aerial parts. The structures of the isolated compounds were elucidated using 1H-NMR, 13C-NMR and EI-MS. Antioxidant activity of the extracts were also evaluated in DPPH and FRAP tests. Results: Two sterols,β-sitosterol acetate (1), β-sitosterol (2), one triterpenoic acid,ursolic acid (3), one polyphenol, rosmarinic acid (4) and six flavonoides,Luteolin-7-O-glucoside (5), 4'-methoxy-luteolin-7-O-glucoside (6), apigenin-7-O-glucoside (7), Luteolin (8), diosmetin (9), apigenin (10) were isolated and identified from the ethyl acetate and methanol extracts. The antioxidant activity of the ethyl acetate (IC50 189.95±2.8 μg/mL) and the methanol extracts (IC50 140±1.2 μg/mL) were compared to the standard antioxidant, BHA (IC50 100±1.6 μg/mL) in DPPH method. The reducing power of the ethyl acetate (300.28 μmol Eq FeSO4.7H2O/mg DW), the methanol extract (553.14 μmol Eq FeSO4.7H2O/mg DW) and BHA (558.36 μmol Eq FeSO4.7H2O/mg of standard) were elucidated in FRAP assay. Conclusion: The results introduce L. iberica as a medicinal plant with valuable constituents which are responsible of different pharmacological activities.
A Bayes Theory-Based Modeling Algorithm to End-to-end Network Traffic

Recently, network traffic has exponentially increasing due to all kind of applications, such as mobile Internet, smart cities, smart transportations, Internet of things, and so on. the end-to-end network traffic becomes more important for traffic engineering. Usually end-to-end traffic estimation is highly difficult. This paper proposes a Bayes theory-based method to model the end-to-end network traffic. Firstly, the end-to-end network traffic is described as a independent identically distributed normal process. Then the Bases theory is used to characterize the end-to-end network traffic. By calculating the parameters, the model is determined correctly. Simulation results show that our approach is feasible and effective.
Imputing Missing Values Using Support Variables with Application to Barley Grain Yield

Missing values in a data set is a widely investigated problem. In this study, we propose the use of support variables that are closely associated with the variable of interest for the imputation of missing values. Level of association or relationship between the variable of interest and support variables is determined before they are included in the imputation process. In this study, the barley (Hordeum vulgare) grain yield in the semi-arid conditions of Cyprus was used as a case study. Monthly rain, monthly average temperature, and soil organic matter ratio were selected as support variables to be used. Multivariate regression employing support variables, bivariate, kernel regression and Markov Chain Monte Carlo techniques were employed for the imputation of missing values. Obtained results indicated a better performance using multivariate regression with support variables, compared with those obtained from other methods.