Miracle-dz/UniFAR-FTUs huggingface dataset:
Trajectory Optimization for Velocity Jumps Reduction considering the Unexpectedness Characteristics of Space Manipulator Joint-Locked Failure

Aiming at reducing joint velocity jumps caused by an unexpected joint-locked failure during space manipulator on-orbit operations without shutting down manipulator, trajectory optimization strategy considering the unexpectedness characteristics of joint-locked failure is proposed in the paper, which can achieve velocity jumps reduction in both operation space and joint space simultaneously. In the strategy, velocity in operation space concerning task completion directly is treated as equality constraints, and velocity in joint space concerning motion performance is treated as objective function. Global compensation vector which consists of coefficient, gradient of manipulability, and orthogonal matrix of null space is constructed to minimize the objective function. For each particular failure time, unique optimal coefficient can be obtained when the objective function is minimal. As a basis, a method for optimal coefficient function fitting is proposed based on a priori failure information (possible failure time and the corresponding optimal coefficient) to guarantee the unexpectedness characteristics of joint-locked failure. Simulations are implemented to validate the efficiency of trajectory optimization strategy in reducing velocity jumps in both joint space and operation space. And the feasibility of coefficient function is also verified in reducing velocity jump no matter when joint-locked failure occurs.
The Effect of Word Frequency on Answering Grammar Questions

The present study was conducted to investigate the relationship between word frequency and answering grammar questions. The subjects of the study were 28 female graduates and undergraduates. Two grammar tests each containing 20 questions with low and high frequency words were given to the subjects with an interval of seven days. The questions including rare and common words were distributed randomly in the tests. Paired sample t-test was used for data analysis. The results indicated that there is no relationship between word frequency and answering grammar questions. Being familiar with a rare word or not does not affect learner's ability to deal with a grammar question. This study, in fact, has a complementary role in the research on word frequency.
āveic ātri. CHARACTERIZATION OF LATVIAN POTATO GENETIC RESOURCE S BY DNA FINGERPRINTING WITH SSR MARKERS

SSR (Simple Sequence Repeats) markers have been bro adly applied in plant material identification, genetic diversity evaluation, in various gene banks for collections maintenance and in breeding programs for the monitoring of elite alleles and ma teri l exchange, as well as in ploidy level prediction, construction of genetic maps, evolution ary and population studies. The high polymorphism level and the co-dominance of SSR mark ers allow for efficient cultivar characterization and can discriminate even closely related cultivars. However, several factors must be considered when applying SSR markers to polyploi d plant species. After initial optimization and the pre-screening of 15 SSR markers, all potato ( Solanum tuberosum L. subsp. tuberosum) cultivars listed in the Latvian Plant Genetic Res ource database were analyzed using eight SSR markers that were found to be most p lymorphic. Cultivar fingerprinting, genetic distance evaluation and cluster analyses were perfo rmed. Two pairs of the tested cultivars were identical in all screened loci and couldn’t be disc riminated; the remaining potato cultivars could be discriminated using a minimum of 4 SSR markers. Sim ilar genetic relationships were observed in the potato cultivar collection when analysed with d ifferent phylogenetic methods. An increase in the genetic diversity of the newly bred potato cult ivars was identified when compared to the older cultivars.
“I have faith…”: An exploration of hopefulness in providing care for children with Spesific Learning Difficulties (SpLD)

Mothers who are having children with SpLD may have changes in their hopes since they may experience many dramatic changes in life circumstances. A semi-structured interview was conducted to explore mother's hopes in providing care children with SpLD. The data was analysed using six stages of the interpretative phenomenological analysis (IPA). The finding revealed that two superordinate themes emerged: "I have faith…" and "I'm expecting…" relating to different perspectives of hopes. A positive hope facilitates positive influence among mothers in providing care children with SpLD. Later, it postulated a better quality of life amongst mother in having children with SpLD.
What are the Dimensions of Online Satisfaction?

Abstract The purpose of the research is to identify the factors affecting online satisfaction. As a research method, we applied a quantitative survey based on a questionnaire. The sample consists of 532, students at Faculty of Economics and Business Administration, aged between 19-26 years, who buy online various products from the Internet. In order to identify the dimensions of online satisfaction, we used exploratory factor analysis with SPSS 17.0, with Principal Components as extraction type and Varimax as rotation method. Nine dimensions of online satisfaction were identified, namely: products corresponding to the online description, good price, comfort, easily accessible information, personal data security, good design, support, personalization, and website awareness.
Modeling of Quantum Key Distribution System for Secure Information Transfer

This chapter is an analysis of commercial quantum key distribution systems. Upon analysis, the general- ized structure of QKDS with phase coding of a photon state is presented. The structure includes modules that immediately participate in the task of distribution and processing of quantum states. Phases of key sequence productions are studied. Expressions that allow the estimation of physical characteristics of optoelectronic components, as well as information processing algorithms impact to rate of key sequence production, are formed. Information security infrastructure can be utilized, for instance, to formulate requirements to maximize tolerable error level in quantum channel with a given rate of key sequence production.
Technological and economic design of asphalt mixture composition based on optimization methods

AbstractThe asphalt pavement made of high quality materials and having the optimal composition best resists destructive effects of environmental factors and vehicles. The optimal content of the mineral materials of the asphalt mixture and a bituminous binder is selected employing calculation and experimental methods. The properties of the designed asphalt mixture must meet the requirements of technical specifications thus reducing its cost. The paper presents algorithms for simulating the composition of the asphalt mixture applying mathematical programming techniques. The algorithms allow designing the asphalt mixture with minimal bitumen content, a low cost of the mineral part and the densest gradation assessing technological requirements for producing the mixture. Optimal bitumen content is calculated considering bitumen capacities specified for different types of rock and determined employing the most recent standard sieves screening for narrow fractions. For verifying the new proposed algorithms, a nu.
Evaluation of an Airborne Spacing Concept to Support Continuous Descent Arrival Operations

This paper describes a human-in-the-loop experiment of an airborne spacing concept designed to support Continuous Descent Arrival (CDA) operations. The use of CDAs with traditional air traffic control (ATC) techniques may actually reduce an airport's arrival throughput since ATC must provide more airspace around aircraft on CDAs due to the variances in the aircraft trajectories. The intent of airborne self-spacing, where ATC delegates the speed control to the aircraft, is to maintain or even enhance an airport's landing rate during CDA operations by precisely achieving the desired time interval between aircraft at the runway threshold. This paper describes the operational concept along with the supporting airborne spacing tool and the results of a piloted evaluation of this concept, with the focus of the evaluation on pilot acceptability of the concept during off-nominal events. The results of this evaluation show a pilot acceptance of this airborne spacing concept with little negative performance impact over conventional CDAs.
Definition of VAD reference using different HHM topologies and frame dropping strategy

In this paper the segmentation of the Aurora 2 database with three different types of models is presented. The segmentation is based on speech recognition results obtained by tests on the Aurora 2 database. Three types of tests are performed. In the first test the speech units are words (16 state HMMs) and in the second test the speech units are monophones (3 state HMMs). In these two tests the silence unit is made of 3 state hidden Markov model. In the third test the speech and silence units are made of only one state. One state presents the time duration of 10 ms. The estimation of the best procedure for creation of VAD reference is obtained by speech recognition accuracy, correctly recognized words and number of inserted words based on frame dropping strategy. The best speech recognition accuracy is achieved by the use of monophone speech units. This is due to the smallest number of inserted words.
Self-directed Learning in Preparatory-year University Students: Comparing Successful and Less-successful English Language Learners

There is consensus among those involved in teaching English as a foreign language (EFL) in the Saudi educational context that students’ achievement in language learning is below expectations. Much research has been directed towards finding the reasons for low achievement amongst learners. However, very few studies have looked at parameters of learners’ agency and learners’ responsibility in the learning process. This study examines learners’ efforts at self-directed learning, measured with reference to a set of behavioral and metacognitive constructs. The primary objective is to diagnose efficiency problems in EFL learning and compare successful learners to those who fail to progress from one academic language level to the next. A secondary objective in this study is to find out if the General Aptitude Test (GAT) score is a predictor of success in language learning. The findings reveal significant differences between successful learners and less-successful learners in aggregate self-directedness scores. However, while the analysis of the component constructs shows statistically significant differences between successful and less-successful learners in the self-management and study time measures, differences in the self-monitoring and motivation measures were non-significant. The lack of significant differences between some of the measures is attributed to the relative baseline similarity of the two groups. Moreover, the GAT measure yielded a counter-intuitive result; namely that less-successful learners had higher GAT scores than the successful ones, though the difference wasn’t statistically significant. The study concludes with implications for further research; for example, calling for a larger scale investigation of self-directedness, as well as other meta-cognitive strategies, and the possible relationship of these to GAT scores. Academic coaching of self-directedness and self-regulation strategies for college students is recommended.
A new method for calculating number concentrations of cloud condensation nuclei based on measurements of a three-wavelength humidified nephelometer system

Abstract. The number concentration of cloud condensation nuclei (CCN) plays a fundamental role in cloud physics. Instrumentations of direct measurements of CCN number concentration (NCCN) based on chamber technology are complex and costly; thus a simple way for measuring NCCN is needed. In this study, a new method for NCCN calculation based on measurements of a three-wavelength humidified nephelometer system is proposed. A three-wavelength humidified nephelometer system can measure the aerosol light-scattering coefficient (σsp) at three wavelengths and the light-scattering enhancement factor (fRH). The Angstrom exponent (A) inferred from σsp at three wavelengths provides information on mean predominate aerosol size, and hygroscopicity parameter (κ) can be calculated from the combination of fRH and A. Given this, a lookup table that includes σsp, κ and A is established to predict NCCN. Due to the precondition for the application, this new method is not suitable for externally mixed particles, large particles (e.g., dust and sea salt) or fresh aerosol particles. This method is validated with direct measurements of NCCN using a CCN counter on the North China Plain. Results show that relative deviations between calculated NCCN and measured NCCN are within 30 % and confirm the robustness of this method. This method enables simplerNCCN measurements because the humidified nephelometer system is easily operated and stable. Compared with the method using a CCN counter, another advantage of this newly proposed method is that it can obtain NCCN at lower supersaturations in the ambient atmosphere.
Reconceptualizing Expertise Explaining an Expert's Error

A human performance model that produces credible human-like behaviors requires an architecture and implementation strongly grounded in theory. Through an iterative process of model development and theory refinement, a better understanding of the sources of human error can then be achieved. Aircrew and air traffic controller models were used in an analysis of the 1994 windshear accident at Charlotte, NC. The analysis led to a focus on the captain’s briefing for the plan to address the immanent windshear threat. The skilled-based decision to plan for the necessary microburst escape maneuver was not well established on the part of the captain. This led to what proved to be a creative, but flawed plan. The theory, as refined during the accident analysis, suggested that the decision-making process was grounded in narrative synthesis—a process hypothesized to underlay much of decision-making and action selection both at the conscious and automatic levels.
ASSESSMENT OF JOB COMMITMENT OF SECONDARY SCHOOL TEACHERS IN OSUN STATE, NIGERIA

This study investigated the level of teachers’ job commitment to the teaching profession, teachers’ commitment to teaching and learning and teachers’ commitment to school in secondary schools in Osun State. These were with a view to assessing the level of teachers’ job commitment in the State. The study employed survey research design. The study population consisted of 6,922 secondary school teachers and 466 principals in Osun State while the sample for the study consisted of 720 teachers and 36 principals. Two validated instruments were used for the study, namely; Teachers’ Job Commitment Questionnaire for Teachers (TJCQT) and Teachers’ Job Commitment Questionnaire for Principals (TJCQP). Three research questions were raised in line with the objectives of the study. The research questions were answered using percentages.
International Atomic Energy Agency THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS HOLOGRAPHIC MONOPOLE CATALYSIS OF BARYON DECAY

We study how monopole catalysis of baryon decay is realized in holographic QCD. Physics of monopole catalysis becomes much simpler in holographic description as it occurs due to the violation of the Bianchi identity for the 5D gauge symmetry when magnetic monopole is present. In holographic QCD we find a unified picture of the baryon number violation under magnetic monopole or electroweak sphaleron, giving a new mechanism of baryon number violation. We also embed our set-up in the string theory model by Sakai and Sugimoto. MIRAMARE – TRIESTE March 2008 dkhong@pusan.ac. kr klee@kias.re. kr chspark@pusan.ac. kr hyee@ictp.it
Supplement to: An assessment of the climatological representativeness of IAGOS-CARIBIC trace gas measurements using EMAC model simulations

Measurement data from the long-term passenger aircraft project IAGOS-CARIBIC is often used to derive trace gas climatologies. We investigate to what extent such derived climatologies can be assumed to be representative for the true state of the atmosphere. Using the chemistry-climate model EMAC we sample the modelled trace gases along CARIBIC flight tracks. Different trace gases are considered and climatologies relative to the mid-latitude tropopause are calculated. Representativeness can now be assessed by comparing the CARIBIC sampled model data to the true climatological model 5 state. Three statistical methods are applied for this purpose: the Kolomogorov-Smirnov test, and scores based on the variability and relative differences. Generally, representativeness is expected to decrease with increasing variability and to increase with the number of available samples. Based on this assumption, we investigate the suitability of the different statistical measures for our problem. The Kolmogorov-Smirnov test seems too strict and does not identify any climatology as representative – not even long lived well 10 observed trace gases. In contrast, the variability based scores pass the general requirements for representativeness formulated above. In addition, even the simplest metric (relative differences) seems applicable for investigating representativeness. Using the relative differences score we investigate the representativeness of a large number of different trace gases. For our final consideration we assume that the EMAC model is a reasonable representation of the real world and that representativeness in the model world can be translated to representativeness for CARIBIC measurements. This assumption is justified by 15 comparing the model variability to the variability of CARIBIC measurements. Finally, we show how the representativeness score can be translated into a number of flights necessary to achieve a certain degree of representativeness.
Seller – Buyer Supply Chain Games Where Shortage Are Permitted

In the area of seller-buyer supply chain management, researchers have been very active in seeking optimal policies for both players to achieve a favorable outcome. Most studies are based on somewhat unrealistic assumptions such as deterministic demand and unpermitted shortages. In reality, due to factors such as irregular production capacity or unanticipated demands, shortages will occur, and it will influence both players’ decisions. In this paper, we include shortage as a decision variable determined by the seller, and demand is assumed sensitive to both selling price and marketing expenditure. The interaction between seller and buyer will be investigated as non-cooperative Stackelberg game, and the cooperation between seller and buyer will be explored based on Pareto-efficient solution concept. Consequences of the non–cooperative and cooperative aspects of these games will be compared and finally, numerical examples and sensitivity analysis will be presented to compare between models with and without shortages.
Identifying Risk Factors for Incidence of Mental Disorders after Traumatic Brain Injury

1. Department of Psychology, University of Isfahan, Isfahan, Iran 2. Department of Neurosurgery, Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran 3. Department of Counseling, Vice-Chancellor for Culture and Student Affairs, Guilan University of Medical Sciences, Rasht, Iran 4. Department of Community Medicine, Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran
Focus on Mammalian Embryogenomics Dynamic changes in messenger RNA profiles of bovine endometrium during the oestrous cycle

Duringtheoestrouscycle,thebovineendometriumexhibitscharacteristicmorphologicalandfunctionalchanges,whicharemainlyinduced by progesterone (P4), oestrogens and oxytocin. We studied the response of the endometrium to this changing hormonal environment at the transcriptome level using a custom-made cDNA microarray. Endometrium samples were recovered from Simmental heifers on days 0 (oestrus), 3.5 (metoestrus), 12 (dioestrus) and 18. The latter group was divided into animals with high (late dioestrus) and low P4 levels (preoestrus). Significance analysis of microarrays revealed 269 genes exhibiting significant changes in their transcript levels during the oestrous cycle in distinct temporal patterns. Two major types of expression profiles were observed, which showed the highest mRNA levels
The personal, the political and the popular

This article looks at articulations of gender, politics and citizenship by examining two European female heads of state: Tarja Halonen (Finland) and Angela Merkel (Germany). It discusses their personae in the context of emerging public debate about the merits and shortcomings of what is nowadays called ‘celebrity politics’, constituted by popularization and personalization. The analysis suggests that the increasing presence of popular culture in politics presents a complex and often unfavourable arena to women because of its inbuilt and extreme polarization of femininity and politics. It shows how Tarja Halonen and Angela Merkel have bypassed the personalization of politics and present a thoroughly political and professional persona to the public, rigidly concealing their private lives. As a result, female politicians - at least the two heads of state analysed here - tend to represent a classic ideal of political citizenship with clear boundaries and singular codes and conventions.
The development of an evaluation framework based on the design science approach

This paper is part of an on going research work focusing on the development and evaluation of a visual management method, known as LCM4, using design science research. LCM is a visual management method, developed initially by the researcher in 2007 in practice to address a practical problem faced on a construction site. This practical problem was a lack of transparency in daily operations onsite, which led to difficulties in communication, decision-making and general progress in daily work (Brady, et al 2012). LCM also addresses a theoretical problem which is the lack of broader, holistic solutions when implementing Lean and Visual Management (Picchi, 2004, Tezel, 2011). By applying various visual tools together in a unique way, a structure is provided to visually plan and manage the construction process, bringing clarity, aiding communication and collaboration, decision-making and simplifying information. LCM’s main aims are to improve transparency in the overall construction process, implement a visualised flow and a pull system in the daily planning of work onsite and to provide a mechanism for regular quality checks and continuous improvement. Part of the evaluation will be to compare LCM to other planning and control systems such as Last Planner in order to clarify the similarities and differences and also its contribution to knowledge. The overall aim of the paper is to describe and present the development of a suitable framework which is used to evaluate this method within the context of Design Science. Findings from an analysis on the method are presented which specifies its outcomes according to this methodology. Evaluation criteria that make up the framework are identified based on the Design Science literature and the aims of the LCM method itself and are applied in a focused way to the constructs, models, methods and instantiations of LCM.