Miracle-dz/UniFAR-FTUs huggingface dataset:
Promoting Active and Sustained School-Business Partnerships: An Exploratory Case Study of an IT Academy

In support of the national push for promoting career readiness, school-business partnerships have been noted as an important support strategy. However, there is limited research in the context of career academies. Thus, we sought to explore the nature of a partnership between an information technology (IT) career academy and local business partners. We found that the development of social capital is required to keep the network of partners bonded toward a common goal, bridged through a Business Advisory Council to facilitate planning and related supports, and linked by a local web of connecting relationships. Study findings add to the limited literature on the interface of school-business partnerships, career academies, and the promotion of career readiness in particular occupational contexts such as IT.
Quality labels and institutional density in the agro-food sector: the case of Andalusia (Spain)

Our paper analyses the gradual increase of quality labels in rural areas of Europe and the effect of Institutional Density (ID) over them. This new producer’s strategy is related to three different but related processes: changes in the global markets and consumer patterns, and within the European Rural Policy. Such scenario partly explains the increase of labelling as a strategy in rural areas, but not their success or failure. The contribution of this paper is to analyse three different kinds of labels (Protected Designation of Origin, Organic Agriculture and Parque Natural de Andalucia) in relation to the grade of Institutional Density (ID). We chose to study the case of Andalucia (Spain), a region characterized by economic centrality of agroindustry and for being one of the European areas with greater presence of institutional development agencies. The data was collected during fieldwork, and quantitative and qualitative techniques were implemented.
University of Groningen Perceptions on the Effectiveness of Treatment and the Timeline of Buruli Ulcer Influence Pre- Hospital Delay Reported by Healthy Individuals Alferink,

Background: Delay in seeking treatment at the hospital is a major challenge in current Buruli ulcer control; it is associated with severe sequelae and functional limitations. Choosing alternative treatment and psychological, social and practical factors appear to influence delay. Objectives were to determine potential predictors for pre-hospital delay with Leventhal’s commonsense model of illness representations, and to explore whether the type of available dominant treatment modality influenced individuals’ perceptions about BU, and therefore, influenced pre-hospital delay. Methodology: 130 healthy individuals aged . 18 years, living in BU-endemic areas in Benin without any history of BU were included in this cross-sectional study. Sixty four participants from areas where surgery was the dominant treatment and sixty six participants from areas where antibiotic treatment was the dominant treatment modality were recruited. Using a semi-structured interview we measured illness perceptions (IPQ-R), knowledge about BU, background variables and estimated pre-hospital delay. Principal Findings: The individual characteristics ‘effectiveness of treatment’ and ‘timeline acute-chronic’ showed the strongest association with pre-hospital delay. No differences were found between regions where surgery was the dominant treatment and regions where antibiotics were the dominant treatment modality. Conclusions: Individual characteristics, not anticipated treatment modality appeared predictors of pre-hospital delay. Citation: Alferink M, van der Werf TS, Sopoh GE, Agossadou DC, Barogui YT, et al. (2013) Perceptions on the Effectiveness of Treatment and the Timeline of Buruli Ulcer Influence Pre-Hospital Delay Reported by Healthy Individuals. PLoS Negl Trop Dis 7(1): e2014. doi:10.1371/journal.pntd. 0002014 Editor: Christian Johnson, Fondation Raoul Follereau, France Received April 25, 2012; Accepted December 3, 2012; Published January 17, 2013 Copyright: 2013 Alferink et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This work was supported by the Buruli Ulcer Groningen Foundation, the Groningen University Fund, the Marco Polo fund (to MA) and the Dutch Organization for Scientific Research (VENI grant to YS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: m.alferink@umcg.nl
Internal Representation and Factional Faultlines as Antecedents for Board Performance in Social Enterprises

There is an increasing scholarly interest in how social enterprises manage their hybrid nature. As hybrid organizational forms, social enterprises combine mission‐driven social goals and revenue generating activities in a variety of organizational constellations and in diverse institutional contexts. Acknowledging the potentially conflicting demands that institutional environments impose on social enterprises there is an increasing research interest in the existence and proliferation of these conflicting demands at the organizational level. Some researchers have pointed to the importance of particular management practices and governance characteristics – such as authority relations and internal representation – as mechanisms to deal with the conflicting demands at the organizational level. This paper adds to this stream of literature by taking into account the organizational level dynamics of internal representation and the proliferation of factional groups in the boards of directors of hybrid organizational forms and their impact on board performance, ultimately influencing the organizational performance.
Influence of Moisture on Density and Distribution of Grassland Birds in North Dakota

Abstract High annual variation in grassland bird populations in the Great Plains has often been attributed to changes in moisture levels, but most previous assessments of variation in grassland bird numbers have been of short duration, have occurred during a limited range of moisture levels, have been limited in geographic scope, have considered few species, or have sampled only one or few habitat types. Data from the long-term North American Breeding Bird Survey have the potential to overcome some of these shortcomings. We used linear models and information-theoretic methods to examine associations between moisture levels and populations of 17 species of grassland passerine and two species of wetland passerine in northern North Dakota from 1980 to 2004. We used data from 13 Breeding Bird Survey routes to provide indices of bird abundance and regional dispersion; we used numbers of ponds containing water identified on annual May waterfowl surveys and the Palmer Drought Severity Index (PDSI) as regional moisture indices. Responses varied among species, but the data indicated substantial support for moisture influencing the abundance of 17 of the 19 species we considered. Models including same-year pond numbers generally received more support than models including PDSI data. Dispersion of seven species throughout the study area was influenced by moisture levels, although the response was not as universal and support was not as strong as it was with abundance. Associations between grassland birds and moisture levels suggest the value of regional moisture indices to interpreting studies and surveys of grassland birds in the northern Great Plains.
ELECTRICAL MODELING AND SIMULATION OF INDUSTRIAL POWER SYSTEM WITH MATLAB/SIMULINK PROGRAM

Power system dynamic simulations have been traditionally constrained to commercial package tools. While these tools are mostly efficient for large scale simulation, their component models are often encapsulated, and not possible to be examined and modified. For educational use, it is more important that the component modeling is transparent and flexible. Hence, in this paper, an object-oriented simulation of an industrial power system is constructed in Matlab/Simulink environment. The step-by-step implementation of Simulink block diagram model describing power system devices is fully given in detail. This presented approach is well suited to educational purpose in a way that students are able to modify their models and get quick start their simulations. The dynamic simulations with result and discussion are given through illustrative case study of voltage sag.
Nanoimprint Lithography - Next Generation Nanopatterning Methods for Nanophotonics Fabrication

Nanophotonics is wide field covering many interesting applications branching from cutting edge science including plasmonics, metamaterials, cavity quantum electrodynamics in high-Q cavities all the way to applied sciences like silicon nanophotonics for on chip optical interconnections and single frequency semiconductor light sources. Most of the practical device demonstrations in these fields utilize nanopatterned surfaces. Applications require patterning of nanoscopic gratings, photonic crystals, waveguides and metal structures. There are many wonderful demonstrations of nanotechnology-based lasers and other photonic components. However, difficult questions related to fabrication need to be addressed before these components enter any market. Demonstrations in the scientific literature have relied heavily on the use of direct writing lithography methods, such as electron beam lithography or focused ion beam lithography. These methods, although excellent for scientific studies, cannot be scaled up to allow cost effective production of nanophotonics. Lithography solutions developed for integrated circuits can produce extremely narrow linewidths and deliver high precision but are difficult to transfer to photonics fabrication. There exist many alternative lithography methods, but their scale-up to cost effective volume production is challenging. Since the introduction of nanoimprint lithography (NIL) in 1995 (Chou et al. 1995), there has been widespread interest in the development of NIL for various applications. As early as in 2003 NIL had gained substantial support and was chosen as one of MIT's Technology Review’s “10 Emerging Technologies That Will Change the World” (Technology Review 2003). The selection was justified by the fact that NIL can bridge the gap between lab level nanotechnology research and production level manufacturing requirements. In this chapter, we briefly review the state-of-the-art lithography methods and introduce nanoimprint lithography (NIL), a very cost effective lithography method for nanophotonics applications. In section two we will introduce soft UV-NIL, an imprint method using soft and flexible stamps, as a method for patterning compound semiconductor optoelectronics. Finally, in section three, we highlight some NIL activities based on soft-UV-NIL.
Political Discourse on Social Media Garimella

Echo chambers, i.e., situations where one is exposed only to opinions that agree with their own, are an increasing concern for the political discourse in many democratic countries. This paper studies the phenomenon of political echo chambers on social media. We identify the two components in the phenomenon: the opinion that is shared, and the “chamber” (i.e., the social network) that allows the opinion to “echo” (i.e., be re-shared in the network) – and examine closely at how these two components interact. We define a production and consumption measure for social-media users, which captures the political leaning of the content shared and received by them. By comparing the two, we find that Twitter users are, to a large degree, exposed to political opinions that agree with their own. We also find that users who try to bridge the echo chambers, by sharing content with diverse leaning, have to pay a “price of bipartisanship” in terms of their network centrality and content appreciation. In addition, we study the role of “gatekeepers,” users who consume content with diverse leaning but produce partisan content (with a single-sided leaning), in the formation of echo chambers. Finally, we apply these findings to the task of predicting partisans and gatekeepers from social and content features. While partisan users turn out relatively easy to identify, gatekeepers prove to be more challenging. ACM Reference Format: KiranGarimella, GianmarcoDe FrancisciMorales, Aristides Gionis, andMichael Mathioudakis. 2018. Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship. In WWW 2018: The 2018 Web Conference, April 23–27, 2018, Lyon, France. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3178876.3186139
Compact Microstrip Rotman Lens Using Chebyshev Impedance Transformers

A compact microstrip Rotman lens is proposed in this paper. The microstrip Rotman lens consists of a lens body and Chebyshev impedance transformers. The Chebyshev impedance transformers are used as beam ports, array ports and dummy ports. Compared to the traditional linear tapered transition, the Chebyshev impedance transformer is shorter, which leads to the size reduction and insertion loss improvement for the Rotman lens. An X-band 4 × 7 Rotman lens using Chebyshev impedance transformers is designed and fabricated. Compared to a traditional Rotman lens, the proposed Rotman lens shows a size reduction of about 56% and an insertion loss improvement at 10 GHz. The measured results demonstrate that better than 15 dB return loss throughout the bandwidth from 8 to 12 GHz is obtained.
Strong-Motion Generation Areas of a Great Subduction-Zone Earthquake: Waveform Inversion with Empirical Green’s Functions for the 2003 Tokachi-oki Earthquake

A waveform inversion with empirical Green's functions was conducted to estimate strong-motion generation areas (SMGAs) of the 2003 Tokachi-oki, Japan, earthquake (Mw 8.3). Although the rupture process of this great subduction-zone earthquake has been revealed with waveform inversions based on low-frequency (lower than 0.2 Hz) ground motions, it is much more important from an engineering point of view to investigate how strong ground motions with higher frequencies were generated from the earthquake. Waveform data with higher frequencies have been excluded from the conventional inversions because of the difficulty in computing realistic theoretical Green's functions at higher frequencies. In this study, with the aid of empirical Green's functions, we extended the applicability of the waveform inversion to higher-frequency ground motions up to 1 Hz. We selected three after- shocks for use in the analysis, referring to the similarity of the group delay time be- tween the mainshock and the aftershock records. The resultant slip model has three SMGAs, each of which is close to the hypocenter of one of the aftershocks used. Gen- erally speaking, locations of the SMGAs identified in this study agree well with as- perities identified from the inverted results using low-frequency (lower than 0.2 Hz) ground motions plus geodetic data and tsunamis. It implies that strong ground motions up to 1 Hz were generated from almost the same asperities producing lower-frequency ground motions. In terms of the complexity of slip models, although our analysis is focused on high frequencies, our slip model is at least as simple as conventional low- frequency slip models. Such results would be useful in constructing source models of future great subduction-zone earthquakes for strong-motion prediction.
Spatial Prediction of Soil Salinity Using Electromagnetic Induction Techniques: 2. An Efficient Spatial Sampling Algorithm Suitable for Multiple Linear Regression Model Identification and Estimation

In our companion paper we described a regression-based statistical methodology for predicting field scale salinity (EC,) patterns from rapidly acquired electromagnetic induction (EC,) measurements. This technique used multiple linear regression (MLR) models to construct both point and conditional probability estimates of soil salinity from EC, survey data. In this paper we introduce a spatial site selection algorithm designed to identify a minimal number of calibration sites for MLR model estimation. The algorithm selects sites that are spatially representative of the entire survey area and simultaneously facilitate the accurate estimation of model parameters. Additionally, we introduce two statistical criteria that are useful for selecting optimal MLR variable combinations, describe a technique for identifying faulty signal data, and explore some of the differences between our recommended model-based sampling plan are some more commonly used design-based sampling plans. Survey data from two of the fields analyzed in the previous paper are used to demonstrate these techniques.
Co-Management: Social communications’ gaps of Coastal Tourism in Seribu Islands

This study was conducted to respond the statement of the Coordinating Minister for Maritime and Resources, city government, and the central government, who planned to settle down the Seribu islands, becomes a center of marine travel in Indonesia by developing the infrastructure, increasing an environment awareness, and strengthening community empowerment. Factually, environment awareness becomes the main issues on the island. Based on the social-communication , which is one of six domains of co-management, is considered relevant to enhance the program on the island. This research aim is to find out the social communications gaps on implementing co-management of the coastal tourism management in the islands. Based on the research tabulation, the study found that there is a significant gap (33.5%) of communal communications. The government could decrease the gap by aligning the priority of the social communications by using the people-centered on supporting the program. It would be done by starting their priority became interactional learning, training sustainable coastal tourism, and raising public awareness. At the same time, the government informing the program aim by using social media, and inviting to the local community on an interactive learning program that would accommodate their ideas.
Soros's reflexivity concept in a complex world: Cauchy distributions, rational expectations, and rational addiction

George Soros makes an important analytical contribution to understanding the concept of reflexivity in social science by explaining reflexivity in terms of how his cognitive and manipulative causal functions are connected to one another by a pair of feedback loops (Soros, 2013). Fallibility, reflexivity and the human uncertainty principle. Here I put aside the issue of how the natural sciences and social sciences are related, an issue he discusses, and focus on how his thinking applies in economics. I argue that standard economics assumes a ‘classical’ view of the world in which knowledge and action are independent, but that we live in a complex reflexive world in which knowledge and action are interdependent. I argue that Soros's view provides a reflexivity critique of the efficient market hypothesis seen as depending on untenable claims about the nature of random phenomena and the nature of economic agents. Regarding the former, I develop this critique in terms of Cauchy distributions; regarding the latter I develop it in terms of rational expectations and rational addiction reasoning.
Environmental Pressure and Armed Conflict - Is there an Empirical Kuznets Curve for Myanmar?

Empirical Kuznets Curves (EKC) usually implies an inverted U-shaped relationship between a pollutant and per capita GDP growth. We initially find an inverted U-shaped EKC between CO2 emissions and per capita GDP for the period 1960 to 2004. However, once accounting for a major uprising in 1988 in Myanmar, we can identify two different growth regimes. This structural break changes the nature of the EKC relationship.
The Life and Death of the Hiatus Consistently Explained

The main features of the instrumental global mean surface temperature (GMST) are reasonably well described by a simple linear response model driven by anthropogenic, volcanic and solar forcing. This model acts as a linear long-memory filter of the forcing signal. The physical interpretation of this filtering is the delayed response due to the thermal inertia of the ocean. This description is considerably more accurate if El Niño Southern Oscillation (ENSO) and the Atlantic Multi-decadal Oscillation (AMO) are regarded as additional forcing of the global temperature and hence subject to the same filtering as the other forcing components. By considering these as predictors in a linear regression scheme, more than 92% of the variance in the instrumental GMST over the period 1870-2017 is explained by this model, and in particular all features of the 1998 – 2015 hiatus, including its death. While the more prominent pauses during 1870 – 1915 and 1940 – 1970 can be attributed to clustering in time of strong volcanic eruptions, the recent hiatus is an unremarkable phenomenon that is attributed to ENSO and a small contribution from solar activity.
Gathering online representations of practice about assessment for use as a professional development tool: a case in progress

The Assessment Snapshots digital resource at the University of Western Sydney is a current project to produce locally contextualised resources about effective assessment practice. Assessment case studies showcased through the project offer insights into how individual teachers in the disciplines design assessment strategies which respond to the challenges of teaching and learning in the tertiary sector in the 21 century. Resources produced are designed as online professional development tools for self-access by teachers and for use in assessment workshops and curriculum renewal projects. The paper explores the rationale for using case studies as a form of representation of practice, and describes the processes taken by a team of academic developers to gather cases from individual academics, provides initial reflections on those processes, and proposes plans for using the resource and evaluating its effectiveness as a trigger for improvement in assessment practice.
Soil variability in La Violada Irrigation District (Spain): II Characterizing hydrologic and salinity features

The recent modernization of 1.1 Mha of irrigated land in Spain calls for the evaluation of these transformations in terms of environmental impact and resource use efficiency. The available data for this evaluation has increased with the transformation (better, digital and spatially distributed data) allowing for the use of distributed soil water and solute movement models. But most hydrological models require soil hydrologic properties that are costly and time-consuming to gather and soil information in Spain is generally scarce. This paper focuses in analyzing the soil hydrologic features in La Violada Irrigation District (VID; a 5234 ha semi-arid irrigated area recently modernized in northeast Spain) usable in soil water models for the evaluation of the new