Miracle-dz/UniFAR-FTUs huggingface dataset:
An application of design research to an offshore-supply port operation

This article presents a method for intervening systemically to structure port operations using Business Problem-Solving. First, the concepts associated with logistics and supply chain are presented in order to establish the basis for the proposition that ports be regarded as links in a chain. From that integrating perspective, methods and techniques can be applied more appropriately to port operations and contribute to surmounting partial approaches. Theoretical frameworks are then proposed to characterize and analyze how a particular port operates, with emphasis on decisions and processes that guide cargo movement and resource allocation necessary for the cargo cycle. The proposed method is applied to a private port which supports all the oil rigs of a basin in southeast Brazil, and through it are conducted operations that provide offshore logistical support. Completion of the method's problem definition, analysis and diagnosis stages culminates in the proposal of a new integrated model of scheduling.
AN ADAPTIVELY SAMPLED PATH PLANNER USING WAYPOINTS: AN ANY-ANGLE VARIANT

Title of Document: AN ADAPTIVELY SAMPLED PATH PLANNER USING WAYPOINTS: AN ANYANGLE VARIANT Yonatan Gefen, ECE, 2014 Directed By: Associate Professor, Nuno C. Martins, Department of Electrical and Computer Engineering This thesis develops a low-cost grid-based path planner that intrinsically supports smooth, curved vehicle dynamics. There are many advantages to grid-based planners, including working natively in the digital space of most sensors, and efficiency in low dimensional space. However, discrete planners create jaggedness in most paths. Further, the dimensionality must be limited for efficiency, usually by limiting vehicle steering angles to a small finite set. The algorithm presented here, Waypoint-A*, extends A* to produce low-cost curved trajectories, taking the dynamics of the vehicle into account explicitly postplanning. Considering the path generated by A* as composed of a set of waypoints, Waypoint-A* calculates the minimum-cost heading on a continuum, to direct the vehicle to the waypoint at the location resulting in the lowest total cost. Smoothness of these curves is invariant to terrain resolution and computation. AN ADAPTIVELY SAMPLED PATH PLANNER USING WAYPOINTS: AN ANY-ANGLE VARIANT
Candidate Species for Florida Aquaculture: Caribbean Spiny Lobster, Panulirus argus

FA147, a 5-page fact sheet by Christian L. Miller, Cortney L. Ohs, and R. LeRoy Creswell, introduces this lobster with whip-like antennae for aquaculture in Florida. It gives description and natural history and discusses culture methods, market, and diseases that may affect its aquaculture potential. Includes references and recommended additional reading Published by the UF Department of Fisheries and Aquatic Sciences, September 2007. FA147/FA147: Candidate Species for Florida Aquaculture: Caribbean Spiny Lobster, Panulirus argus (ufl.edu) Ask IFAS: Candidate Species for Florida Aquaculture series (ufl.edu)
Reflection through workbased learning

Following a short overview of how work-based learning at Northumbria University is organised, this paper will go on to define critical reflection in the workplace context and describe what makes for a suitable environment for this to take place. It will explore the rules of engagement and propose a process for embedding reflection through work-based learning.
Who is Selling the Ivory Tower

The 1990s witnessed a dramatic increase in thelicensing activity of U.S. research universities.The sources of thisincrease, as well as the possibility that such an increase signals a change inthe nature of university research, warrant investigation.Thisinvestigation requires a model of technology transfer as a three-stageproduction process involving multiple inputs in each stage.The threestages follow the sequence of steps typically involved in licensing universityinventions. Two types of evidence on the sources of growth are provided.The firstis a productivity analysis that incorporates Association of UniversityTechnology Managers survey data for 65 U.S. universities between 1994 and1997.The data shed light on the extent to which growth in each stage is adirect result of increases in inputs devoted to technology transfer.Thesecond is a survey of businesses who licensed university inventions between1993 and 1997.These data clarify the extent to which licensing has grownbecause of changes in the tendency of faculty and administrators to engage incommercial activity.Taken together, the data reveal that the primaryreason for the increase in licensing activity may indeed be an increasedwillingness offaculty to license rather than a change in faculty researchfocus.Universities are also more receptive to industry contracts. (SAA)
Barriers to Adopting New Technologies within Rural Small and Medium Enterprises (SMEs)

The adoption of technologies by small and medium enterprises (SMEs) that operate in several business sectors in rural areas is a crucial issue because they often need financial and technical incentives and support from public and local authorities. The question of whether and how innovation can be replicated and applied in a wider context is strictly connected to the understanding of those factors and mechanisms capable of determining the success or failure of the introduction of innovation itself. In this paper, the attention is focused on the impact of new technologies in order to increase SMEs’ competitiveness and productivity among the firms. For this purpose, only recent resources, research and studies that have been implemented during the last twenty years are taken into account. Firstly, based on these studies, the main disruptive technologies were selected. Secondly, the evidence is drawn from stakeholder data discussions of the Interreg Europe project “Regional policies for innovation driven competitiveness and growth of rural SMEs—INNOGROW”, covering eight European countries (Bulgaria, Czech Republic, Greece, Hungary, Italy, Latvia, Slovenia and the United Kingdom). Descriptive statistics were applied to describe the case identities. The cases’ needs, enablers and barriers in different groups were analyzed using a chi-square test and Mann–Whitney U Test. The results of this study are important for both researchers as well as small business practitioners (including government agencies and owners/managers) in order to provided policy recommendations, concerning how to establish favourable conditions and offer incentives to SMEs to integrate innovative solutions into their business models.
Static vs. dynamic stretching on vertical jump and standing long jump

Our research study looked at the effects of two different kinds of stretches, static and dynamic, on lower extremity power movements. For many years, stretching before athletic competition has been recommended to prepare the athlete for the event. It is thought that stretching reduces the risk of injury, decreases muscle stiffness, increases range of motion, alleviates pain, and improves athletic performance [1,2,3]. Despite recent inconclusive evidence of the benefits of stretching, the American College of Sports Medicine (ACSM) still adopts the idea of stretching before or after competition. In addition, the National Strength and Conditioning Association (NSCA) guidelines state that stretching before competition will improve performance and functional abilities [8]. Other research has been conducted to determine which type of stretching, static or dynamic, is better for improving strength, speed, power, and force production [1,4,5,6,7,9]. Research has also been done to find the effects of static stretching on balance, reaction time, and movement time [6]. To our knowledge, no study has looked at the effects of static versus dynamic stretches on vertical jump and standing long jump, two of the most common ways to measure lower extremity power production. Our study found helpful information that could be used to provide safe, effective, and reliable ways to help patients or athletes perform to their optimum level of physical function.
Integrated environmental modeling : the new DREAM for Geological Surveys

This paper summarises the British Geological Survey (BGS) plans for the development of integrated environmental models to address the grand challenges that face society. It describes a vision for an Environmental Modelling Platform (BGS 2009), that will allow integrated models to be built and describes case studies of emerging models in the United Kingdom. After an initial scoping phase (Giles et al. 2010), this activity is now being carried out under the DREAM (Data and Research for Environmental Applications and Modelling) cross-cutting project.
Finite Element Analysis of Orthodontic Relapse in Different Maxillary Arch Form

Background: Orthodontic relapse is fairly common; however, the mechanisms between relapse and the dental arch form remain unclear. The purpose of our study was to establish three-dimensional (3D) finite element models of different dental arch forms after orthodontic treatment and to analyze the states of different arches applied with various sagittal forces.Methods: By calculating the equations of different dental arch forms and combining them with a full maxillary arch (14 teeth), 3D finite element models of square, oval, and tapered dental arches were established; they were designed to be subjected to anterior lingual, posterior mesial, and combined forces, respectively.Results: The von Mises stress and displacement of teeth under different forces were calculated for each loading scenario. Under the different forcing scenarios, all incisors had irregularity trends, and the inclination and intrusion of the canines were increased, and the premolars had a tendency to buccal or lingual crown tipping or even intrusion in our study. The tapered arch was the most stable and had the smallest displacement and von Mises stress, followed by the ovoid arch; the most unstable arch was the square arch.Conclusions: To achieve a stable orthodontic effect, a tapered or ovoid arch, rather than a square arch, should be chosen as the final outcome of treatment.
Information Systems and Structured Techniques

Traditional methods of developing computer systems have left many companies without the systems they need and many potential users despairing of ever getting a system worth using. Structured techniques and computer‐aided tools are hyped as the answer to all systems development problems. Are they solutions or just other ways for computer departments to spend money?
Enhanced synchronization due to intermittent noise

We propose a novel scheme to regulate noise infusion into the chaotic trajectories of uncoupled complex systems to achieve complete synchronization. So far the noise-induced synchronization utilize the uncontrolled noise that can be applied in the entire state space. Here, we consider the controlled (intermittent) noise which is infused in the restricted state space to realize enhanced synchronization. We find that the intermittent noise, which is applied only to a fraction of the state space, restricts the trajectories to evolve within the contraction region for a longer period of time. The basin stability of the synchronized states (SS) is found to be significantly enhanced compared to uncontrolled noise. Additionally, we uncover that the SS prevail for an extended range of noise intensity. We elucidate the results numerically in the Lorenz chaotic system, the Pikovski–Rabinovich circuit model and the Hindmarsh–Rose neuron model.
Using the Kano method for analysis of the attributes of a product in the automotive industry

The publication presents an example of using the Kano method to analyse the quality attributes of a product in the automotive branch. Using the Kano method, technical attributes of a product were analysed for a front bumper installed in Opel cars, which was followed by the identification of hidden factors by means of exploration factor analysis. The application of the extrapolation factor analysis has made it possible to discover that the examined set of twenty attributes of the product contains 5 hidden factors, which included: bumper aesthetics, resistance to external factors, lacquer properties, resistance to temperature and the precision of workmanship. Słowa kluczowe: metoda Kano, atrybuty jakości, analiza czynnikowa, inżynieria jakości Abstrakt W publikacji zaprezentowano przykład wykorzystania metody Kano do analizy atrybutów jakości produktu w branży motoryzacyjnej. Dla zderzaka przedniego montowanego w samochodach marki Opel przeanalizowano atrybuty techniczne produktu metodą Kano, a następnie przy pomocy ekstrapolacyjnej analizy czynnikowej dokonano identyfikacji czynników ukrytych. Zastosowanie ekstrapolacyjnej analizy czynnikowej pozwala zorientować się, że w badanym zestawie dwudziestu atrybutów produktu można wyróżnić 5 czynników ukrytych, do których zaliczono: estetykę zderzaka, wytrzymałość na czynniki zewnętrzne, właściwości lakieru, odporność na temperaturę oraz dokładność wykonania.
Socio-economic Impact Assessment of Livelihood Security in Agriculture, Animal Husbandry and Aquaculture on the Tsunami-hit Lands of Andaman

Indian subcontinent is highly vulnerable to major natural disasters such as earthquakes, cyclones, floods, droughts, landslides and bushfires. Tsunami, which is a recent addition to this list, had occurred in the early morning of 26th December 2004, after a massive earthquake of 9.2 magnitude on the Richter scale in Andaman & Nicobar islands, resulting in the submergence of large area of farmland, and subsequent drying up of water bodies. It caused moisture stress for the standing crops, livestock and fisheries and affected the livelihood of the people to a large extent. In this context, the present study has been carried out to make the socio-economic impact assessment of livelihood security in agriculture, animal husbandry and aquaculture on the tsunami-hit lands of Andaman. Data have been collected from 150 sample respondents and the survey has been conducted for two periods, pre-tsunami and post-tsunami. The results have indicated that tsunami has ravaged the households, standing crops, farm inputs such as seed, feed and implements, livestock and poultry population, their sheds, fish ponds, etc., thereby affecting the basic livelihood security of the people in Andaman. The rehabilitation measures taken by the government and NGOs have improved their livelihoods by reviving agriculture considerably in the subsequent years and by creating employment opportunities in various farm and non-farm activities. The paper has suggested creating profitable livelihood security to vulnerable sections of the society in the existing socio-economic penury with holistic intervention of the community, government and NGOs.
On the operation mechanism of the microwave sensor for measuring human heartbeats and respirations

A sensitive microwave sensor is established to measure human heartbeats and respirations. A large number of microwave cardio-graph (MCG) is collected and thoroughly analyzed. It concludes that the MCG is come from the amplitude and phase modulation of the heart movement to the scattering field, instead of the indistinct Doppler effect, even though almost a similar apparatus is used.
Cross-lingual Fine-tuning for Abstractive Arabic Text Summarization

While abstractive summarization in certain languages, like English, has already reached fairly good results due to the availability of trend-setting resources, like the CNN/Daily Mail dataset, and considerable progress in generative neural models, progress in abstractive summarization for Arabic, the fifth most-spoken language globally, is still in baby shoes. While some resources for extractive summarization have been available for some time, in this paper, we present the first corpus of human-written abstractive news summaries in Arabic, hoping to lay the foundation of this line of research for this important language. The dataset consists of more than 21 thousand items. We used this dataset to train a set of neural abstractive summarization systems for Arabic by fine-tuning pre-trained language models such as multilingual BERT, AraBERT, and multilingual BART-50. As the Arabic dataset is much smaller than e.g. the CNN/Daily Mail dataset, we also applied cross-lingual knowledge transfer to significantly improve the performance of our baseline systems. The setups included two M-BERT-based summarization models originally trained for Hungarian/English and a similar system based on M-BART-50 originally trained for Russian that were further fine-tuned for Arabic. Evaluation of the models was performed in terms of ROUGE, and a manual evaluation of fluency and adequacy of the models was also performed.
Experimental Validation of the MRcollar: An MR Compatible Applicator for Deep Heating in the Head and Neck Region

Simple Summary Hyperthermia treatments where tumor tissue is heated to 40–44 °C for 60–90 min can be hampered by a lack of accurate temperature monitoring. To solve this need, we have designed an MR compatible head and neck hyperthermia applicator: the MRcollar. In this work, we experimentally validated the design, heating capabilities and the MR compatibility of the MRcollar. The MRcollar antennas efficiently transfer the power and have low interaction between the antenna elements. The heating and focusing capabilities satisfy the requirements. The MRcollar can operate in an MR scanner and it can acquire higher quality MR images due to the built in receiver elements. The MRcollar has great potential to improve hyperthermia treatment in the head and neck region and it is now ready for in vivo studies. Abstract Clinical effectiveness of hyperthermia treatments, in which tumor tissue is artificially heated to 40–44 °C for 60–90 min, can be hampered by a lack of accurate temperature monitoring. The need for noninvasive temperature monitoring in the head and neck region (H&N) and the potential of MR thermometry prompt us to design an MR compatible hyperthermia applicator: the MRcollar. In this work, we validate the design, numerical model, and MR performance of the MRcollar. The MRcollar antennas have low reflection coefficients (<−15 dB) and the intended low interaction between the individual antenna modules (<−32 dB). A 10 °C increase in 3 min was reached in a muscle-equivalent phantom, such that the specifications from the European Society for Hyperthermic Oncology were easily reached. The MRcollar had a minimal effect on MR image quality and a five-fold improvement in SNR was achieved using the integrated coils of the MRcollar, compared to the body coil. The feasibility of using the MRcollar in an MR environment was shown by a synchronous heating experiment. The match between the predicted SAR and measured SAR using MR thermometry satisfied the gamma criteria [distance-to-agreement = 5 mm, dose-difference = 7%]. All experiments combined show that the MRcollar delivers on the needs for MR—hyperthermia in the H&N and is ready for in vivo investigation.
Comparing UK turkey production systems using analytical error propagation in uncertainty analysis

The aim of this study was to quantify the environmental impacts per unit of live weight of the main UK turkey systems, namely stag and hen production with either controlled or natural ventilation. An LCA modeling framework, based on system approach and mechanistic sub-models was applied for this purpose. For the first time, detailed production data from the industry was used as input. The differences between the systems were analyzed using an analytical “top-down” method for uncertainty analysis, developed specifically for this study. The results show that there were only small, mainly non-significant differences in the impacts between the systems, affected mainly by their feed conversion ratio and slaughter weight. The novel uncertainty analysis method makes it possible to obtain exact quantification of the overall uncertainties of outputs of complex systems models without the need of time consuming and approximate Monte Carlo simulations.
Analisis Faktor-faktor yang Mempengaruhi Keputusan Nasabah Menabung di Bank Bca Kota Medan (Studi Kasus Etnis Cina)

This study entitled “Anaysis of Factors Influencing Decisions Customers Saving in BCA Medan (Ethnic Chinese Case Study)”. This study aimed to investigate the efeect of factors consisting Of products, services, promotions, location and credibility of the decisions of Chinese customers saving in BCA Medan.The analytical method used is descriptive analysis and statistical methods used multiple linear regression tool, significant testing and simultaneous testing of significant partial. Data processed using SPSS17.0 for windows. The data used are primary and secondary data.Based ond estimation/regression showed that the variables of the products, service, and the credibility has positive and significant impact in cutomers decision ethnic Chinese saving in BCA Medan alpha level of 5%, while variable promotion and location only positive influence customers decisions ethnic Chinese saving in BCA Medan. Keywords: Products, Services, Promotion, Location, Credibility and Customers Decision
Affecting Factors on Knowledge Transfer in a Company

The management practice literature is replete with reports of practices being used to motivate a firm’s knowledge workers to transfer knowledge. Unfortunately, little is known with any certainty about which of factors affect these practices, under which conditions. It appears that in many cases the practices are ill suited for the particular situations where they are employed, with unknown but perhaps sizeable losses in opportunities foregone because valuable knowledge is not as fully or completely transferred as is possible. In addition, it seems that some of these practices are likely to be interfering with the effectiveness of other practices, just as some drugs interfere with the potentially positive effects of other drugs. About these matters, our knowledge is exceeded by our ignorance. The study identifies some factors associated with knowledge transfer, and articulates some of the most important issues associated with these factors. This study would enable organizations to be more effective in their transfer of knowledge.
“I had no idea until now”: preparing doctoral students in education for the professoriate

PurposeWith the number of doctoral degrees awarded increasing and full-time and tenure-track jobs decreasing, doctoral graduates are entering a fierce job market. Lack of knowledge and support about navigating the job market can impact graduates' mental health and chances of securing long-term employment, but many graduates claim their programs provide little professional development in this area. The purpose of this study is to understand doctoral students' job preparation after participating in a departmental seminar.Design/methodology/approachThe current explanatory sequential mixed methods, single case study investigated students' perceptions following a year-long seminar in job market navigation.FindingsStudents attending the seminar did not differ from those who did not attend on feelings of preparedness, number of application documents completed, or curriculum vita quality scores.Research limitations/implicationsResearchers may have limited ability to implement graduate student interventions given the power structures of faculty life and the lack of graduate student time.Practical implicationsThe results suggest informal seminars may not be enough to support doctoral students' job market skills.Social implicationsThis has implications for department chairs and deans to create faculty development opportunities to pivot to a student-centered culture rather than relying on faculty or external support to help graduate students prepare for the job market.Originality/valueThis case study provides insight as to how graduate students' job market anxieties are at odds with the current demands and structure of educational doctoral programs.