Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Compact Feeding Network for Array Antenna

A novel feeding network is investigated both theoretically and experimentally. The proposed system with combination of a Wilkinson power divider and two branch-Line couplers is established. The output signals of the system have the same amplitude and 90 ◦ phase difference with each other. The size reduction technique is applied to minimize the physical size of the proposed network. In this technique, the ground of the structure is defected, and distributed capacitors and inductors are added to empty space of the branch-line couplers. Moreover, meandered lines are used in order to match the output impedance of the Wilkinson power divider arms and reduce its size. The initial design realized in 2.5 GHz shows the fractional bandwidth of 24%. Then a miniaturized structure is fabricated with 42% smaller size than the main structure while it shows similar electrical performance. For both cases, measurement and simulation results are in good agreement with each other.
Analysis of water erosion processes using terrestrial laser scanning

1) Institute of Environmental Development and Protection, Wroclaw University of Environmental and Life Science, Pl. Grunwaldzki 24a, 50-363 WROCŁAW 2) Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Science, Ul. Grunwaldzka 53, 50-363 WROCŁAW 3) Department of Spatial Economy, Wroclaw University of Environmental and Life Science, Ul. Grunwaldzka 53, 50-363 WROCŁAW
Interest Differentiation and Profile Elevation: Investigating Correlates of Depression, Confidence, and Vocational Identity

Using a correlational design, this study examined relationships among and between differentiation, profile elevation, gender and educational level (predictors) and depression, confidence, and vocational identity (criterion). Clients presenting for counseling services (n = 90) with a career concern at a large, metropolitan university were included in the study. Six assumptions were examined using three single hierarchical regression analyses to reveal relationships among and between variables. Two research assumptions were confirmed at the . 05 level of significance. Bivariate correlations were computed to examine the structure coefficients. Beta weights and structure coefficients were examined to determine the relative contribution of the predictors in the regression model. Results indicated that differentiation, profile elevation, gender and educational level did not predict significant variance in depression and vocational identity. However, differentiation, profile elevation, and educational level did significantly predict confidence (p< .0001).
When There Is Not Enough to Go Around: How Black People’s Perceptions of Competition for Black Mates Affects Forced Black Identity Ascriptions of Black/White Multiracial People

ABSTRACT Using a resource scarcity framework, the current study investigated whether Black people’s perceptions of competition for Black mates related to ascribing a Black identity onto Black/White Multiracial people. Participants took online questionnaires that assessed competition for Black mates, likelihood of forcing a Black identity onto a self-identified Black/White Multiracial person, essentialism, and contact with Multiracial people. Results indicated that increased perceptions of competition for Black mates was related to increased forced Black identity onto self-identified Black/White Multiracial people, above and beyond levels of essentialism and contact. This relationship was stronger for sexual minorities. The current research supports the proposition that scarcity of resources (i.e., mates) affects ideologies regarding Black/White Multiracial people’s identities.
Examining Knowledge-Based Information Technology Management Competencies of Business Executives

This paper examines IT management competencies of business executives, and analyzes how IT management competencies of business executives impact IT governance capabilities. A (knowledge-based) model interrelating explicit and tacit IT management competencies of business executives with IT governance capabilities is developed. Following a multi-method research design, preliminary results indicate that IT management competence is a multidimensional construct, in which explicit and tacit knowledge regarding IT and IT management are essential for building IT governance capabilities.
An analysis on the relation between Strategic Knowledge Management and Talent Management Strategy in Profitability of the Southern Khorasan Electric Distribution Company (SKEDC)

Scientific and technological advances together with the increase in human knowledge have highlighted the essence of applying knowledge and utilizing talents to attain the organizational goals. Also, the close bond between knowledge and talent with organizational strategy will be essential for obtaining the competitive advantage, sustainability, value creation, profitability, and having a successful brand within the national and international levels. Therefore, this study aims to establish an association between Strategic Knowledge Management and Talent Management Strategy with Profitability at the Southern Khorasan Electric Distribution Company (SKEDC). As a private company, the SKEDC will need to focus on the optimal use of intangible resources for gaining profitability and productivity in order to cover the expenditures and take the responsibility against its customers. Moreover, the statistical population contains 163 people with higher diploma, bachelor, and master degrees from which 115 people have been selected as sample size based upon the Krejcie & Morgan Table, and questionnaires were distributed among them. Furthermore, the Structural Equation Modeling (SEM) as well as Lisrel Software was utilized for analyzing the data, and subsequently, it was specified that Strategic Knowledge Management and Talent Management Strategy have a positive impact on Profitability at the above-mentioned company.
Urban Design Factors Influencing Surface Urban Heat Island in the Humid Subtropical Region Based on Local Climate Zone

Surface urban heat island (SUHI) depicts the deteriorating thermal environment in high-density cities and local climate zone (LCZ) classification provides a universal protocol for SUHI identification. In this study, taking the central urbanized area of Guangzhou in the humid subtropical region of China as the study area, the maps or images of LCZ, land surface temperature (LST), SUHI and urban design factors were achieved by using Landsat satellite data, GIS database and a series of retrieval and classification algorithms, and the urban design factors influencing SUHI were investigated based on 625 samples of LCZs. The results show that in the summer daytime under the clear sky condition, the LST varied greatly from 26 °C to 40 °C and the SUHI changed in a wide range of -6 °C to 8 °C in the LCZs of the study area. Seven and five urban design factors influencing the summer daytime SUHI were identified for the two dominant LCZ of LCZs 1-5 (LCZ 1 to LCZ 5) and the mixed LCZ (containing at least three types of LCZs), respectively. The summer daytime SUHI prediction models were obtained by using the step-wise multiple linear regression, with the performance of R2 of 0.697, RMSE of 1.21 °C, and the d value of 0.81 for the model of LCZs 1-5, and the values of 0.666, 1.66 °C, and 0.76 for the model of the mixed LCZ, indicating that the models can predict the changes of SUHI with LCZs to a large and satisfactory extent. This study presents a methodology to efficiently achieve a large sample of SUHI and urban design factors of LCZs in the largely urbanized cities, and provides information beneficial to the urban designs and regenerations in the humid subtropical region.
Spatio-temporal assessment of energy consumption and socio-economic drivers in rural areas in Poland

The new project of the Polish Energy Policy until 2040 presents a comprehensive vision of modernization of the country’s energy system. One of the directions is to develop a diffused energy system based on energy clusters at the local and sub-regional scale. Clusters are expected to increase renewable energy production and consumption mainly in rural areas, as well as improve the quality of life of local communities and ensure sustainable livelihood. Effective delineation and strategic management of energy clusters should be based on evidence-based analyses. Therefore, the aim of the paper is to assess the spatial and temporal diversification of energy use in Poland in connection to socio-economic drivers from 2004 (Polish access to the European Union) to 2017. The 314 poviat units (county) are examined (NUTS 4 level). Multidimensional data exploration and geovisualisations are performed with use of an innovative location intelligence system of combined geographical information systems (GIS) and business intelligence (BI) software. The paper presents the multivariable data analysis and mapping of selected indicators of: (1) consumption of low-voltage electricity per capita in rural households, (2) population by age and (3) place of residence, (4) residential buildings development, and (5) economic growth reflected in personal income taxes. The obtained results support regional policy makers in energy clusters’ location and their strategic management. The results of the study can be used to mitigate disproportions between regions affected by unsustainable suburbanisation, depopulation and ageing society, continuous growth of energy consumption as well as economic inequalities. The study was carried out at the beginning of 2019 as an input for public discussion on ongoing works on the project of the Polish Energy
Weight Loss for Point Clouds Classification

With the widely applying of 3D sensors such as LiDAR and RGBD camera in robots and driverless technology, 3D point clouds classification has also achieved some development. PointNet[1] is a competitive method in point clouds classification due to it’s fast speed and well performance in real applications. However, when dealing with easy-classified samples overwhelming in 3D object classification, the PointNet shows incompatibility due to its gradients are mainly determined by these easy-classified samples. In order to optimize the gradients in PointNet, we designed the SFL(Sigmoid Focal Loss) function for 3D object classification to instead of the standard softmax cross-entropy loss function. The proposed SFL function will automated refined the weights of the hard-classified samples in training, so that the new neural network can focus on these hard-classified samples to avoid the unbalance of the classifier. Our results show that the new loss function can achieve the best result in classification tasks that directly processes point clouds.
HOMOGENIZATION OF THE NON-STATIONARY STOKES EQUATIONS WITH PERIODIC VISCOSITY

We study the periodic homogenization of the non-stationary Stokes equations. The fundamental homogenization theorem and correc- tor theorem are proved under a very general assumption on the viscosity coecients and data. The proofs are based on a weak formulation suitable for an application of classical Tartar's method of oscillating test functions. Such a weak formulation is derived by adapting an argument in Teman's book (Navier-Stokes Equations: Theory and Numerical Analysis, North- Holland, Amsterdam, 1984).
The Impact of Strategic Alliance Partner Characteristics on Firms’ Innovation: Evidence from Jordan

The aim of this study is to examine the impact of strategic alliance partner characteristics namely (partnercomplementarity, partner commitment, and partner compatibility) on firm’s innovation, which includesincremental innovation and radical innovation. The population of the study contained (13) JordanianPharmaceutical companies, and the sample unit consisted from (122) managers and head of divisions working instrategic alliances, marketing and production areas within the target companies. In order to gathering the datarequired for measuring the study variables a questionnaire was developed. The results of the study showed thatthe strategic alliance partner characteristics had a significant impact on the Jordanian pharmaceuticalcompanies’ innovation, and the impact of alliance partner characteristics (Compatibility, Capabilities, andCommitment) on incremental innovation is more than the impact on radical innovation. Also the results showedthat the complementarity of partner has the highest impact on the firm innovation, then the compatibility, thenthe commitment. Based on these findings the study recommending that the companies that seeking forinnovation through a strategic alliances must select the appropriate partner who has a complementarycapabilities that contribute non overlapping resources to the relationship, and a partner who has the uniquecompetencies; and the partner who has a compatible strategic objectives, organization culture and managementstyle; and the partner who has a strong sense of commitment for the alliance.
A thesis about design fiction

This research began as something else. Originally, I sought to research the possible futures of cryptographic currencies, and I encountered Design Fiction for the first time when assembling a methodology for that project. I was enticed by the rhetoric around Design Fiction and the aesthetic of works describing themselves as Design Fiction. However, as I researched the concept more thoroughly it quickly became apparent that grounding an entire doctoral thesis on Design Fiction alone may be problematic due to a lack of consensus around what Design Fiction really is and how it works. Hence, my doctorate pivoted, and rather than using Design Fiction to research another topic, I elected to research Design Fiction itself. Through desk-based research into Design Fiction the thesis establishes that while there are some central notions which seem common to Design Fictions (e.g. a concern with ‘the future’, the use of ‘design’, and a flavour of unreality invoked by the term ‘fiction’) there is little consensus around how these notions should be defined, how they interact with each other, and what—in concrete terms—the nature of the practice that emerges in the space between them really is. Responding to the apparent lack of consensus the thesis explores the following questions: • What is Design Fiction? • What can Design Fiction do? • What are the best ways to achieve that? In order to explore such fundamental conundrums—and guided by Bruce Sterling’s succinct assertion that ‘the best way to understand the many difficulties of design fiction is to attempt to create one’—my responses to these questions were developed using a Research through Design methodology to inform a series of ‘material engagements’ with Design Fiction. These are articulated through a series of ‘case studies’. Each case study uses Design Fiction to explore a different technology or context. These include cryptographic currency, robotic carers, drones, and artificial intelligence. Together the studies create a portfolio of material engagements with Design Fiction that, collectively, underpin contingent responses to the research questions. The thesis concludes that Design Fiction is a type of ‘World Building’ that may be utilised in many different ways, for example as a communication tool, as an ideation aid, or as a research method. Furthermore, the underlying intentionality of any given Design Fiction must be expressed through appropriate media in order to support World Building that is sensitive to both the given domain’s attributes and the factors motivating the use of Design Fiction in the first place. While the Research through Design approach applied in this research aspires only to produce contingent and temporary answers to the research questions, those answers come together as a set of usable and accessible insights useful for unravelling, understanding, utilising Design Fiction, while fostering the practice’s ongoing maturation and adoption into its own near future.
Effects of decomposition on the compressibility of fibrous peat — A review

Peat deposits are comprised of high organic content substances primarily derived from dead plant vegetation. Peat itself is not inert but undergoes continuous biological decomposition that causes progressive destruction of the peat fabric, reductions in fibre and organic contents and biogas generation. Depending on the degree of decomposition, the organic solids can exist as fresh (intact) fibres, slightly decomposed or ultimately completely decomposed (amorphous) material. From a geotechnical perspective, an understanding of the relationship between degree of decomposition and engineering properties, including the level of compressibility, is important in dealing with such problematic deposits. However a review of the literature indicates that such relationships have not been sufficiently investigated. Moreover, potential impacts of uncontrolled or unexpected decomposition in-situ are regularly discounted in geotechnical practice. This paper reviews decomposition effects in peat and potentially significant knock-on effects in terms of the material’s physical properties and compressibility. Progressive reduction in solids volume and deterioration in the integrity of the organic structure due to on-going decomposition may cause significant additional settlement to occur over time. More decomposed peat generally undergoes lower primary consolidation and creep strains and is also less prone to future decomposition, compared with lesser decomposed peat.
A Bayesian estimate of harbour seal survival using sparse photo‐identification data

Survival rates have rarely been estimated for pinniped populations due to the constraints of obtaining unbiased sample data. In this paper, we present an approach for estimating survival probabilities from individual recognition data in the form of photographic documentation of pelage patterns. This method was applied to estimate adult (age 2+) survival for harbour seals in the Moray Firth, NE Scotland. An astronomical telescope was used to obtain digital images of individual seals, and high-quality images were used to document the annual presence or absence of individuals at a single haul-out site over a 4-year period. A total of 95 females, 10 males and 57 individuals of unknown sex were photographically documented during the study period. Survival and recapture probabilities were estimated using Jolly–Seber mark–recapture models in a Bayesian statistical framework. Computer-intensive Markov Chain Monte Carlo methods were used to estimate the probability distributions for the survival and recapture probabilities, conveying the full extent of the uncertainty resulting from unavoidably sparse observational data. The deviance information criterion was used to identify a best-fitting model that accounted for variation in the probability of capture between sexes, with constant survival. The model estimated adult survival as 0.98 (95% probability interval of 0.94–1.00) using our photo-identification data alone, and 0.97 (0.92–0.99) with the use of an informative prior distribution based on previously published estimates of harbour seal survival. This paper represents the first survival estimate for harbour seals in the UK, and the first survival estimate using photo-identification data in any species of pinniped.
A Threshold Concept and Capability Approach to the Cross-Cultural Contextualization of Western Management Education

This article presents contextualization as a pedagogic response to the issues of cross-cultural relevance associated with Western management education in non-Western contexts, and with regard to the needs and expectations of non-Western students. Building on a synthesis of threshold concepts and threshold capabilities, this article demonstrates in principle how contextualization is a threshold concept that can help educators and students address the issue of relevance. Translation intelligence is introduced as a distinct threshold capability, which can enable the development of the knowledge handling skills necessary for students’ future management practice. This article posits that contextualization and translation intelligence are valuable to business schools and management educators because they address issues of cross-cultural relevance and by facilitating learning beyond content they equip students with skills which can be employed in their future management practice.
A static balance control under periodic external force

In this paper, we present a control method of upright posture of biped model under periodic external forces with known period. First, the upright posture is maintained based on the feedback of ground reaction forces. However, being exposed to such a stationary condition for a while, external forces are estimated using the framework of adaptive control. Consequently, the balance maintenance is achieved without feedback of ground reaction forces.
Characterization of Nrk2b Overexpression in a Transgenic Zebrafish Congenital Muscular Dystrophy Model

Everyday movement, whether sitting or running a marathon, exerts stressful forces on myotendinous junctions (MTJs). As the sites which skeletal muscle fibers anchor to surrounding extracellular matrix (ECM) material of tendon, MTJsneed to maintain homeostasis under stress for muscle to function normally. Human congenital muscular dystrophies (CMDs) are a heterogeneous group ofdiseases that disrupt muscle homeostasis, are severely debilitating, and currently have no cure. In many CMDs, genetic mutationseffect cell adhesion complexes located at the MTJ. The adherence of muscle fibers’ cytoskeleton to the extracellular matrix (ECM) is weakened when these complexes as compromised. Many genes resulting in muscular dystrophies are currently identified, yet the fundamental cell processes underlying muscle formation and attachment are chiefly unknown. This gap in knowledge results in a lack oftissue specific treatments. This project aims to research whether the overexpression of nicotinamide ribose kinase 2b (Nrk2b) enzyme, required in a salvage pathway to generate NAD+ and aid in the regulation of muscle cell adhesion, can be exploited to rescue a form of congenital muscular dystrophy in the zebrafish model organism. Exploring this pathway will potentially lead to knowledge that can be applied to gene therapies, using the Nrk2b kinase as a pharmacological target, and deepening knowledge of the zebrafish model system for the study of muscle disease.