Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-cultural competence in the context of NGOs: bridging the gap between ‘knowing’ and ‘doing’

Abstract International human resource management research in non-governmental organisations (NGOs) is scarce and it predominantly focuses on the recruitment and retention of volunteers. The context of NGOs is different from conventional for-profit international business settings with different kinds of challenges, especially in terms of providing appropriate training on managing multi-cultural teams and working with local project partners and communities. The literature also tends to focus on expatriate perspective and not on a host country perspective. We address this gap by examining how project managers and hosts experience cross-cultural issues on overseas assignments. We study volunteer project managers leading international and local youth volunteers during the Raleigh International programme in Malaysia. We use a qualitative methodology and data collected at 3 case locations via participant observation during 120 days contact with the respondents as well as interviews and surveys. We propose the CPACE (Curiosity, Passion, Adaptability, Communication and Empathy) framework describing competences needed in cross-cultural encounters and based on respondents’ actions as well as their words and it is relevant to a NGO context. The framework is intended to lay the foundation for future research and in particular to demonstrate the need for cross-cultural competence to be more grounded in particular contexts.
Atlantic forced component of the Indian monsoon interannual variability

The Indian monsoon interannual variability is modulated by the El Niño Southern Oscillation (ENSO), with a drier than normal monsoon season usually preceding peak El Niño conditions, and vice versa for La Niña phase. Pacific sea surface temperature (SST) anomalies, however, are not the only player. Building upon our recent discovery that atmospheric teleconnections between the tropical Atlantic and the Indian basin contributed to the weakening of the ENSO‐monsoon anticorrelation during the '80s and '90s, we investigate the role of south equatorial Atlantic SSTs in forcing the Indian monsoon rainfall (IMR). Using two observational data sets and two ensembles of simulations we show that the residual in the IMR time series for observed and modeled data, obtained by subtracting the ENSO‐forced component of the IMR that is linearly related to the NINO34 index, is significantly correlated with south equatorial Atlantic SSTs. Our results have important implications for seasonal forecast efforts.
The Morph Table: A collaborative interface for musical interaction

The Morph Table is a new music interface designed for collaborative music making. It comprises a software system that generates transitions and variations (morphs) between MIDI-based musical material, and a table-top hardware design on which cubes representing algorithmic parameters are moved around to control generative music. Like other table-top interfaces the size and multiple objects afford social interaction. The generative music system of the Morph Table makes it particularly suited to installations and use by inexperienced users. This paper outlines the design and usage features of the Morph Table.
The Systematic Position of the Moss Kingiobryum paramicola (Pottiaceae) Based on Molecular and Morphological Data

Abstract ITS1 and ITS2 sequences and a morphological analysis confirm the position of the Andean species Kingiobryum paramicola H. Rob. within the Pottiaceae and the genus Didymodon. It is closely related to Didymodon australasiae and D. umbrosus. A new combination is proposed: Didymodon paramicola (H. Rob.), comb. nov.
Synthesis of 3,4-diaryl-1-phenyl-4,5-dihydro-1H-pyrazole-5-carbonitriles via 1,3-dipolar cycloaddition reactions.

Nitrile imines generated by the oxidative dehydrogenation of aromatic aldehyde phenylhydrazones with chloramine-T as a catalytic dehydrogenating agent were trapped in situ by 4-methoxy cinnamonitrile to a�ord 3,4- diaryl-1-phenyl-4,5-dihydro- 1H -pyrazole-5-carbonitrile in moderate to good yields. The structures of the cycloadducts were con�rmed by spectral studies and elemental analysis.
GRAPHICAL PASSWORD SYSTEM USING SCALABLE MULTI-GRID METHOD

Textual password has been the basis of most authentication systems. In fact, overcoming the vulnerabilities of textual password have always been contentions. However, it has been the major attraction for crackers and attackers. On the other hand, users has always been facing difficulty for remembering a complex password which is considered as secure, thus most of the users are likely to create password which is simple, short and easy to remember. Therefore, graphical password system was invented as an alternative password scheme in order to solve this problem. In the current graphical password systems, there are several problems raised due to i) limited password spaces among existing schemes and ii) common problem of shoulder surfing attack. Thus, an improved scheme named Multi-Grid Background Pass-Go (MGBPG) has been proposed and implemented to alleviate the aforementioned problem. Before proposing the scheme, a classification of graphical password system is presented, analysed and synthesised along with some of related works in terms of its algorithm used, and their advantages and disadvantages. Subsequently, the proposed scheme is analysed and evaluated for its password space, shoulder surfing and dictionary attacks attenuation. From the analysis result, it has been proven that the proposed scheme is able to offer more password spaces (up to 676 selectable spots) as compared to other existing schemes. Moreover, it has been proven that the proposed scheme is able to resist shoulder surfing and dictionary attacks. In a nutshell, the comparative results of this research show that the proposed scheme has achieved the objectives of the study and defeated other existing schemes. As an additional advantage, the proposed scheme also offers better improvement by increasing user memorability by using the grid line scaling function in comparison to other existing schemes.
Social Justice Narrative and the Mainstreaming of Fair Trade Globalisation within the market or alternative globalisation: assessing the radical hiding in plain view

Fair Trade faces challenges of both growth and placement within or beside a global system that is increasingly dominated by vertically integrated corporate players, certification labelling and the marketing of ethical consumption. Assessment of these challenges for Fair Trade vary depending upon whether the perspective is positively critical (proceed with caution, rebel and recognise appropriation), negatively critical (throw it out), or seeks to increase awareness and volume within the dominant system (assimilate); but from all of these we are mostly left with questions about the way forward, real benefits for producers and legitimacy of narrative. My case study responds to these questions with action. I worked within Trade Aid New Zealand developing a digital storytelling and communication platform (kiosk) that was then rolled out to 29 not-for-profit retail locations nationwide. The kiosk delivers video stories directly from producer partners in the field as well as commentary on apex issues such as trade justice, slavery, environmental justice and basic producer text and imagery based on product scans. This embedded action research offered me the opportunity for deep and practical reflection about the importance of transparency, inclusiveness and cooperation in making trade more fair. In doing so, the project demonstrated the value of impulse learning in an alternative retail space, such as Trade Aid shops, and the potential benefits and value shifts of a social justice narrative focus towards a more radical advocacy. Through the cooperative and iterative approach, the project quickly resonated with more actors. This tuning fork effect shifted the focus of the thesis from a singular consumer focus to include the processes within Alternative Trade Organisations (ATO) like Trade Aid and the relationships between consumer-producer-ATO and the physical place to celebrate education and advocacy as Fair Trade. Like the roots of ATOs, this presents a mission-driven, end-to-end partnership that does include a purchase, but with an unselfish stake in the relationship that does not end with consumer empowerment but instead extends narrative beyond a transient transaction. I find that an alternative globalised trade is alive in the modern ATO and the alternative retail space, but under pressure, and not sustainable without a more radical citizen consumer. The response
Development of Fluorescent Thermometry Methods for Microfluidic Systems

The feasibility of employing laser-induced fluorescence (LIF) techniques to study thermal transport at the microscale is investigated. Two implementations of fluorescent thermometry are considered: a two-dye system and a single-dye, two-color system. In the two-dye implementation, a highly temperature-sensitive fluorescent dye (Rhodamine B) and a second dye (Sulforhodamine-101) with a different (weaker) temperature sensitivity are used in tandem to determine fluid temperature with high accuracy and low noise utilizing a pulsed Nd:YAG laser as an illumination source. While the fluorescence intensity of the temperature-sensitive dye is proportional to temperature, it is also biased by variations in the illuminating intensity. Therefore, the second dye with a different temperature sensitivity is required to compensate for such biases. Calibration of this two-dye LIF implementation reveals a temperature sensitivity of -1.5%/K and -2.7%/K when dissolved in ethanol and water, respectively, with volumetric illumination from a Nd:YAG laser. The feasibility of this methodology for conducting temperature measurements is explored by assessing the steady-state, linear temperature profile generated across a microfluidic channel array with two large hot and cold reservoirs. These measurements reveal that the mean steady-state temperatures in the microchannels are within ±0.4 o C of the predicted temperatures with experimental uncertainties (based on standard deviation) of ±0.48-0.59 o C (relative uncertainties of 1.4-2.0%. The second implementation (single dye, two color) allows one to account for variations in the illumination intensity by leveraging the temperature dependence of the emission of a single dye at different bands of wavelength. Preliminary assessment of this single-dye implementation with Sulforhodamine-101 reveals higher experimental uncertainties of ±0.78-0.93 o C.
Elite Tweets: Analyzing the Twitter Communication Patterns of Labour Party Peers in the House of Lords

The microblogging platform Twitter has gained notoriety for its status as both a communication channel between private individuals and as a public forum monitored by journalists, the public, and the state. Its potential application for political communication has not gone unnoticed; politicians have used Twitter to attract voters, interact with constituencies and advance issue-based campaigns. This article reports findings from the research team's work with 21 peers sitting on the Labour frontbench. The researchers monitored and archived the peers' activity on Twitter for a period of 3 months between June and September 2012. Using a sample of 4,363 tweets and a mixed methodology combining semantic analysis, social network analysis, and quantitative analysis, this article explores the peers' patterns of usage and communication on Twitter. Key findings are that as a tweeting community their behavior is consistent with other communities. However, there is evidence that a coherent strategy is lacking in their coordinated use of the platform. Labour peers tend to work in small, clustered networks of self-interest as opposed to collectively to promote party policy.
of ET , PV , MF : a practical approach and future directions

For years, only few cytotoxic drugs like hydroxyurea (HU), busulfan, and pipobroman were available to treat Philadelphia-negative myeloproliferative neoplasms (MPNs), including polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (PMF). (1) However, our knowledge of the pathophysiology of these disorders has considerably changed with the identification of deregulated signaling pathways like the JAK/STAT pathway, or mutations affecting the epigenome. (2) Indeed, MPNs have entered into a new era of targeted therapy, opened with the approval of the first-in-class JAK inhibitor, ruxolitinib, in myelofibrosis (MF)(3, 4) and polycythemia vera (PV). (5) With conventional therapies, treatment of MPNs primarily aims at reducing the risk of vascular events, which are the main causes of mortality and morbidity at diagnosis and during the first years of follow-up. (6) However, transformation to myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML) become major concerns after 15 to 20 years of evolution. (7) The development of new therapies raises the hope of new objectives including reduction of the long-term risk of transformation to MDS or AML, achievement of molecular or histopathological complete remissions, and possibly cure. However, to date, only allogeneic hematopoietic stem cell transplantation (ASCT) can cure selected patients with high-risk MF.
Human Thinking Driven Object Generation at Model Based Product Definition

Quick development of product model based engineering resulted object modeling systems where arbitrary contextual product objects are created and applied in group work. Modeling software supports integrated modeling of a product by different engineering areas including mechanical, electrical, electronic, human, environment, and other objects. The authors recognized a possible way for the development of these systems towards deep modeling of human intent in the form of embedded knowledge in product model. In this paper they introduce their contribution to these efforts by a content based extension to current product modeling systems. After an introduction on the definition of human influence on product model, communication within group of engineers at product modeling is analyzed and content based product definition is explained and compared. Following this, essential process of the proposed content based product modeling is explained and discussed. Finally, future work and possible implementation are outlined.
Agile development and the constraints of physicality: A network theory-based cause-and-effect analysis

Not only software development, but also many companies developing physical products (not purely software) face high uncertainties and dynamics which raises the need for agile practices well-proven in software development. However, so-called constraints of physicality (e.g. duration to build potentially shippable increments) make it very difficult to become agile. Challenges associated with the constraints of physicality are highly interdependent and form an entangled, complex system. It is not obvious to find the root or pinpoint challenges with extraordinary high influence on others. Therefore, the investigation's goal is to identify most important challenges by separating between causes and effects. Knowing this can increase the effectiveness of research efforts in the realm of agile development. The investigation identifies 153 challenges and 160 interdependencies, and detects four backbones through the network that experts from industry rate highly influencing. Those point in particular to issues with product separation into increments, flexibility and scaling that represent very effective directions to overcome or reduce the impact of the constraints of physicality.
Analysis and Design of Multiple-Band Bandstop Filters

A new transversal coupling network is proposed to design of multiple-band bandstop fllters. The resonators in the proposed transversal coupling network have a few of center frequencies and some of them have similar or the same resonating frequency to realize multiple-band bandstop suppression, which are applied to reject pulse signals or bandwidth signals in broadband technique applications. A triple-band bandstop fllter is designed by adopting substrate integrated waveguide to demonstrate the feasibility of this proposed network.
Virtual Source: New Method For Imaging And 4D Below Complex Overburden

We propose an alternative solution that does not require knowledge of the near-surface velocity model. The price to pay is placing geophones in the Earth below the most complex near-surface part while keeping sources at the surface. Receivers may sit in horizontal or slanted wells, which may be producers/injectors or dedicated sidetracks. Utilizing time reversal logic, we convert surfaceto-downhole data into a new dataset with downhole Virtual Sources (VS) located at geophone positions. The resulting VS dataset with both downhole sources and receivers can be conventionally imaged requiring only the bottom portion of the velocity model below the receivers that is more simple to obtain. To illustrate the technique, we show application to one synthetic data set and one field case study.
TESTING RESTRICTIONS IN NORMAL DATA MODELS USING GIBBS SAMPLING

The problem of testing a set of restrictions R(q)=0 in a complex hierarchical model is considered. We propose a different approach from the standard PO ratio test, which can be viewed as the Bayesian analogous to the classical Wald type test. With respect to the PO ratio, it has the advantage of being easier to implement and, unlike the PO ratio test, it can be computed also when some prior in the hierarchy is diffuse. Several Monte Carlo simulations show that the procedure scores very well both in terms of power and unbiasedness, generally doing as well as the standard PO ratio approach, or even better in cases where the degree of coefficient heterogeneity is not high.
Distribution of Hauled-Out Ladoga Ringed Seals ( Pusa hispida ladogensis ) in Spring 2012

The spatial distribution and habitat selection of the Ladoga ringed seal ( Pusa hispida ladogensis ), an endangered freshwater seal, are poorly understood, particularly for the ice-covered period. A fixed-wing, strip-transect aerial survey conducted in early April 2012, before the Lake Ladoga breakup, provided data on seal density and distribution throughout the lake in relation to several environmental covariates: depth, distance to shore, recreational ice-fishing activity, and ice type. A predictive model was applied to combinations of covariates to estimate the total number of seals hauled out on ice of Lake Ladoga. The model estimate was 5068 (95% CI: 4026 – 7086) seals over an area of 16 827 km2. The mean observed seal density was 0.29 seals/km2 (SD = 0.351, range from 0 to 8.61), and density was highest (> 1 seal/km2) in regions that were relatively shallow (< 50 m). Densities appeared to increase with distance from shore but dropped off again at the longest distances. The average density was lower in fast ice habitats (0.13 seals/km2) than in drifting pack ice habitats (0.44 seals/km2). Relatively high seal densities observed in “ice edge” zones (0.26 seals/km2) could be explained by the ice formation pattern of large ridged and hummocked areas in the transition zone between shorefast ice and secondary ice. The presence of fishermen had a highly significant negative effect on seal presence (β = −7.8, p = 0.0014), resulting in a nearly twofold decrease in seal density in shorefast ice habitats (0.09 seals/km2 in fishing areas and 0.15 seals/km2 in areas without fishing activity). An extensive winter recreational fishery, in combination with potential negative trends in ice conditions on the lake, might reduce the amount of suitable habitat for the Ladoga ringed seal in the near future.
Best Multiple Non-linear Model Factors for knock Engine (SI) by using ANFIS

Knock Prediction in vehicles is an ideal problem for non-linear regression to deal with, which use many of the factors of information to predict another factor. Training data were collected through a test engine for the Malaysian Proton company and in various states of speed. Selected six influential factors on the knocking (Throttle Position Sensor (TPS), Temperature (TEMP), Revolution Per Minute (RPM), (TORQUE), Ignition Timing (IGN), Acceleration Position (AC_POS)), has been taking data for this study and then applied to a single cylinder, output factor (output variable) to be prediction factor is a knock. We compare the performance of resultant ANFIS and Linear regression to obtain results shows effectiveness ANFIS, as well as three factors were selected from six non-linear factors to get the best model by using Adaptive Neuro-Fuzzy Inference System (ANFIS). Experiments demonstrate that although soft computing methods are somewhat of tolerant of inaccurate inputs, cleaned data results in more robust models for practical problems.
Control of bacterial production in cold waters. A theoretical analysis of mechanisms relating bacterial production and zooplankton biomass in Disko Bay, Western Greenland

Data on planktonic bacterial production and biomass of copepods and heterotrophic dinoflagellates in Disko Bay, Greenland, are discussed within the framework of a theoretical model. The model is an extension of a previously published model that relates bacterial production and shifts between carbon and mineral nutrient limitation of bacteria to the structure of the planktonic food web. We suggest how dinoflagellates can be incorporated into this framework, and show how this affects bacterial production. With the parameters used, the model predicts the system mainly to be in, or close to, the state leading to carbon-limited bacterial growth, a prediction in accordance with results published for this environment. In the model, this is caused by a high combined biomass of copepods and heterotrophic dinoflagellates that keeps the biomass of phytoplankton competitors low and the regeneration rate high. In Disko Bay, high copepod biomass is not primarily the result of a succession from a high phytoplankton biomass to their predators, but is largely caused by migration of an over-wintering copepod population from deep waters into the photic zone prior to the spring bloom. The set of data thus comprises no situations combining high phytoplankton biomass with low combined biomass of heterotrophic dinoflagellates and copepods, a situation that in the model would lead to a state with pronounced mineral nutrient limitation of bacterial growth rate. Since such sea- sonal copepod migration is a feature common to many arctic ecosystems, the suggested relationship has strong potential implications for carbon cycling in the Arctic.