Miracle-dz/UniFAR-FTUs huggingface dataset:
Seasonal cycling of zinc and cobalt in the Southeast Atlantic along the GEOTRACES GA10 section

Abstract. We report the distributions of dissolved zinc (dZn) and cobalt (dCo) in sub-tropical and sub-Antarctic waters of the Southeast Atlantic Ocean during austral spring 2010 and summer 2011/12. A strong seasonal signal was observed in sub-tropical surface waters with early spring mixed-layer dZn and dCo concentrations of 3.16 ± 1.35 nM and 39 ± 9 pM, respectively, compared with summer values depleted well below these levels by biological activity. The elevated spring mixed-layer dZn concentrations resulted from an apparent offshore transport of elevated dZn at depths between 20–50 m, derived from lithogenic inputs from the Agulhas Bank. In contrast, open-ocean sub-Antarctic surface waters displayed largely consistent inter-seasonal mixed-layer dZn and dCo concentrations of 0.11 ± 0.08 nM and 11 ± 5 pM, respectively. The vertical distributions of dZn and dCo in the upper water column were similar to that of phosphate (PO43−), with positive linear relationships during each of the seasons and across dynamic biogeochemical regimes, suggesting surface biological drawdown and shallow remineralisation of these metals in this region largely influences their distribution. The ecological stoichiometries for dZn and dCo, calculated from the linear regression with PO43−, suggest a greater overall use of dZn relative to dCo in the upper water column of the Southeast Atlantic with an inter-seasonal Zn:Co ratio ranging between 9 and 29. Sub-tropical surface water Zn:Co ratios were found to decrease between spring and summer indicating a preferential removal of dZn relative to dCo between seasons. In this paper we investigate how the seasonal influences of external input and phytoplankton succession may relate to the distribution of dZn and dCo, and variation in Zn:Co ecological stoichiometry, across two distinct ecological regimes in the Southeast Atlantic.
Autopia: An AI Collaborator for Gamiﬁed Live Coding Music Performances

Live coding is “the activity of writing (parts of) a program while it runs” [20]. One signiﬁcant application of live coding is in algorithmic music, where the performer mod-iﬁes the code generating the music in a live context. Utopia 3 is a software tool for collaborative live coding performances, allowing several performers (each with their own laptop producing its own sound) to communicate and share code during a performance. We propose an AI bot, Autopia , which can participate in such performances, communicating with human performers through Utopia. This form of human-AI collaboration allows us to explore the implications of computational creativity from the perspective of live coding.
Georgia Tech Savannah Robotics’ ASV Victoria 2012 AUVSI and ONR’s RoboBoat Competition

—Victoria, is an autonomous surface vehicle (ASV) dually used as a research and competition platform. Currently, the vehicle is being used as Georgia Tech Savan-nah Robotics’ (GTSR) 3 rd entry into AUVSI and ONR’s RoboBoat competition. The vehicle has been designed to detect and navigate through objects using an intertwined LiDAR-camera system, and perform mission speciﬁc tasks.
A Real-Time Receding-Horizon Transmission Voltages Control using Sensitivity Matrix and Bias

In this paper, a simplified multi-step recedinghorizon controller is introduced to control the violations in transmission voltages and stop developing long-term voltage instabilities. The system model is derived from the context of quadratic dynamic matrix control and is represented as a set of linear constraints derived from sensitivity analysis and bias terms acting as modelling error corrector. Resulting multi-step optimization is highly structured convex quadratic programming problem for which reliable standard codes are available. The goal of proposed controller is to achieve high performances with simplified system model relying on reliable optimization solver. The Nordic32 test system is used for evaluating the performance of proposed controller and its comparison with existing closely related approaches focusing on minimization of expensive controls (load shedding).
Zimbabwe Education Burden in the Post-Colonial Science, Technology and Innovation Era

DOI: 10.21276/sjahss.2018. 6.2. 21 Abstract: The development of technology and innovation depends on effective investment in all levels of education. In most cases Africa is found wanting in adequate funding of educational needs. Africa has no choice but to contribute into techno-scientific driven cultures of the 21 st century world and beyond, if it is to grow sustainably, improve its economies, address social challenges of growth and development, to reduce extreme poverty and above all reduce consumption and dependency on Western technologies, inventions and epistemologies. This is a major concern that ought to be mitigated by postcolonial African education systems. Research indicates most African education systems still hinge on colonial discriminatory science educational practices, especially in the provision of access to science education which was and still is a privilege of a few. A qualitative literature review study was conducted to synthesize available published textual information complemented by observed evidence to better understand the burden of postcolonial Zimbabwe education‟s responsibilities in addressing historical and contemporary science education misconceptions. Data collection and analysis took place simultaneously. „Constant comparison‟ model was used for data analysis-involving four steps; observing, note taking, coding and themes development. Sources of literature were selected through „maximum variation‟ purposive sampling techniques. Research findings suggested that the current Zimbabwe education techno-scientific advancement is hindered by historical, institutional, policy, teacher capacity and incorrect value systems and mentality controlled by both power-politics and a conservative educational ideology. This study concluded by arguing for African education systems to be anti-exceptionalist and triumphalist. The study recommended inclusive science education, resuscitation, construction of appropriate and effective institutions that cultivate, groom, support development and sustainability of a science culture at all levels of schooling, especially with a focus on providing adequate faculties and facilities.
Travel Itinerary Planning using Traveling Salesman Problem, K-Means Clustering, and Multithreading Approach

In this paper we proposed an algorithm for arranging travel itinerary using various approaches such as, traveling salesman problem with genetic algorithm, k-means clustering, and multithreading. The algorithm will be applied to develop a web based application which capable of making itinerary planning recommendation. This paper mainly focusing on how the proposed algorithm able to optimize the application in terms of computational proccessing time for the sake of efficiency. To make the itinerary recommendation, travelers must fill the input requirements such as number of days for vacation and list of destionations which they whish to visit. The destinations will first be clustered. Then find the TSP solution for the best route for each cluster. This TSP solution will be the itinerary recommendation.
A Chemically Defined Serum-Free Culture System for Spontaneous Human Mesenchymal Stem Cell Spheroid Formation

Mesenchymal stem cells (MSCs) possess promising potential in tissue engineering and regenerative medicine. Previous studies demonstrated that spheroid formation of MSCs exhibited improved stemness maintenance and therapeutic potential compared with monolayer culture. To date, various spheroid culture systems have been developed but most of them required low adhesion conditions or special equipment. In this study, we demonstrated that inoculation of dissociated MSCs in TeSR-E8 medium could induce self-assemble spheroid formation in conventional tissue culture polystyrene dishes. Compared with monolayer culture, adipose-derived stem cell (ADSC) spheroids enhanced the proliferation and osteogenic capability of ADSCs compared with monolayer culture. When reseeded in normal serum-containing medium, the expression level of stemness biomarkers was even higher in spheroid-derived ADSCs than monolayer culture. Importantly, spheroid ADSCs could effectively promote the M2 polarization of macrophages both in vitro and in vivo. After transplantation into mouse, spheroid ADSCs improved the survival rate and significantly decreased serum levels of proinflammatory factors IL-1β and TNF-α following LPS challenge. In summary, we developed a 3D spheroid culture system through TeSR-E8 medium without the involvement of low adhesion conditions and special equipment, which provided a practical and convenient method for spheroid formation of MSCs with great potential for stem cell clinical therapy.
GOAL SETTING IN RETIREMENT PLANNING: REFLECTION IN THE LIGHT OF IMOGENE
 KING

Objective: to reflect on the establishment of goals in retirement planning in the light of Imogene King's theory, which is characterized by being interactionist, based on Nursing care that is not restricted to the individual scope, but can be provided to a social group with the which the professional establishes contact. Method: reflective study carried out through theoretical support related to the theory of goal attainment by Imogene King and reflective analysis of the theme of retirement planning. Results: the establishment of goals occurs from the interaction between nurse and employee, in which each individual reacts in a particular way to retirement, influenced by their experiences and perceptions. It is up to the nurse to value the employee's knowledge, in order to encourage their adherence to retirement planning. The employee has basic information needs about retirement, which must be provided by the professional in a timely manner. Conclusion: the establishment of goals contributes to the employee concretely noting his advances until he leaves work. Imogene King's theory directs the occupational health nurse in setting goals with pre-retirement employees.
Educational method to investigarte the Relationship between Organizational Climate and Deviant Behaviors with the Mediation of Job Alienation Variable (Case Study: National Iranian Copper Industries Company)

Regarding the size and dispersion of the complex of copper factories in Iran and the high annual costs of preventing employees' strikes and also reducing deviant behaviors, and the existence of appropriate organizational climate, the aim of the present article is to find an educational method to investigate the relationship between organizational climate and deviant behaviors with the mediation of job alienation variable. This research is applied in terms of purpose, and in terms of nature, it is descriptive-correlation and it was conducted in field method. The statistical population of the research was the employees of the National Iranian Copper Industries Company (1010 people) whom are tried to educate this method. The sample size was calculated using the Cochran formula and 278 individuals were selected by simple random sampling. For data collection, the questionnaire of the organizational climate of Sasman and (Dalal, 2005), the adapted questionnaire of deviant behaviors of (Yoon Goo et al, 2013), and the questionnaire of job alienation of (Rahimi et al, 2016) were used. The reliability of the questionnaires in this research was respectively calculated as 0.851, 0.724, and 0.757. For data analysis, the Pearson correlation coefficient, multiple regression and, path analysis tests were used. The results indicated a positive and significant relationship between organizational climate and deviant behaviors, a negative and significant relationship between job alienation and deviant behaviors, and also explaining about 45% of deviant behaviors by 1 Islamic Azad University, Kerman, Iran. 2 Islamic Azad University, Kerman, Iran. 3 Islamic Azad University, Rafsanjan, Iran.
Extreme Low-Light Single-Image Denoising Model

Denoising is challenging under extreme low-light conditions for real-time applications due to low photon count, low Signal-to-Noise (SNR) and single-frame processing constraints. A wide range of denoising solutions have been proposed. Longer exposure time improves the signal-to-noise ratio (SNR) but can result in motion blur artifacts. More recent approaches like burst denoising, which involve capturing and averaging multiple frames show great improvement in image quality but is not a practical solution for real time applications. Also, several other model-driven denoising, deblurring and enhancement techniques have been published but, these are not much effective under photon limited conditions. Learning based approach have exhibited stunning success in a wide range of image recovery and restoration applications, thereby, gaining a lot of interest. The problem we are trying to address is, using one such data-driven approach, how far can we push a single-image processing under extreme low-normal light conditions to achieve an acceptable image quality for time-constraint systems like autonomous driving. The goal is to design a cross-sensor generalized model which can be conceptualized as a sensor post-processing or an Image Signal Processor (ISP) pre-processing denoiser plugin.
Nueral correlates of subjective confidende in visual decision-making

Humans are able to reflect on the quality of their own decisions. With each of our decisions, we associate a certain degree of confidence. Moreover, recent work suggests that human observers use internal estimates of sensory uncertainty when making decisions. This raises the question whether confidence is a readout of such estimates, and if so, how and where confidence is computed from uncertainty. Earlier research has suggested a variety of brain areas potentially involved in the computation of confidence. However, in those studies, stimulus properties were modulated to induce variability in confidence, thereby providing subjects with cues regarding stimulus difficulty and thus expected performance. Here, subjects performed a visual decision task in which stimulus properties were held constant across trials, such that confidence reports could only be based on internal measures. Our data show that even without variability in stimulus difficulty, humans are able to reflect on their own performance, suggesting that confidence is at least partially based on internal estimates of sensory uncertainty. We used fMRI to identify brain regions encoding confidence during this task, and mainly found confidence-related activation in the striatum, particularly in the head of the caudate nucleus and the nucleus accumbens. Our results suggest that this region plays a key role in the computation of confidence from internal estimates of uncertainty. This work provides leads for future research on the neural mechanisms underlying the computation of decision confidence and the role of uncertainty in neural computations in general.
FEMALE ONLINE SHOPPERS EXAMINING THE MEDIATING ROLES OF E-SATISFACTION AND E-TRUST ON E-LOYALTY DEVELOPMENT

The competition of e-tail or e-commerceincreases the number of female customer to shop in online stores. Thus, understanding how female customers‟ e-loyalty is formed and fostered in this type of online store becomes very important. The aim of this research is to focus on female Shopee online shoppers and to examine the mediators of e-loyalty in the context of online stores: e-satisfaction and e-trust. The data was collected by using questionnaire based on Likert Scale with the total of 255 respondents. The data was analyzed by using Structural Equation Modeling (SEM) analysis and moderated regression analysis with the help of SPSS and LISREL. This research revealed that perceived online privacy did not have a direct and positive effect associated with e-trust. Perceived online security had positive effect on e-trust. Furthermore, perceived delivery time and web site design were positively associated with e-satisfaction. Both e-trust and e-satisfaction in turn positively influence e-loyalty for female online shoppers. Keyword: e-Loyalty, e-Satisfaction, e-Trust, Female online shoppers,Perceived online privacy, Perceived online security Pembeli Online Wanita Menguji Peran Mediasi E-Kepuasan dan E-Kepercayaan pada Pengembangan E-Loyaltitas
Non Dominated Sorting Genetic Algorithm Based Energy Aware Clustering Protocol

: Energy conservation is defined as an ill posed problem in wireless sensor networks. Many protocols have been proposed improve the energy conservation. But, it has been found that the actual most of the existing methods has got neglected very first debris difficulty with particle swarm optimization based protocols. As inadequately selected debris bring about poor results. Genetic algorithm based protocols would not ensure that the world global optimized final results however wealthy for the mutation and also crossover operators. The use of the Non dominated sorted genetic algorithm (NSGA) is ignored to efficiently elect the inter cluster data aggregation path selection. Therefore, in order to remove these issues NSGA based inter cluster data aggregations proposed in this work Principle betterment has become produced by changing the actual the particle swarm optimization with NSGA based optimization technique for energy efficient routing. Also, the actual utilization of the compressive stinking additionally raises the functionality further. A compressive stinking makes use of details union to eradicate well not required details via sensor nodes. Ultimately, comparison research show that the proposed technique significantly reduce the energy consumption and therefore improve the network lifetime.
Demosaicing with Successive Chrominance-Based Non-Local Means and Bilateral Filtering

Demosaicing is a necessary step in processing digital images taken with color ﬁlter arrays. These arrays receive only red, green, or blue color information at each pixel, requiring us to infer missing color channels at each location. Many ways of approaching this goal can often lead to color or zipper artifacts as well as blur. We propose a solution for reducing these artifacts while retaining most details of an image.
Physical activity among urban community dwellers with diabetes mellitus : an exploration of experiences

The prevalence of diabetes mellitus in South Africa has increased drastically over the last two decades and ranks third in terms of mortality and morbidity for the general population. Urbanisation plays an important role in the emergence and high prevalence rates of type 2 diabetes mellitus and is associated with more availability of food, eating of unhealthy fast foods and a less physically active lifestyle. Physical activity has gained much attention for its role in preventing premature disease and disability and has become widely recognised as a key health behaviour, associated with reduced morbidity and mortality of chronic diseases of lifestyle such as hypertension and type 2 diabetes, diabetic complications, improved glucose tolerance and insulin sensitivity. This study explored urban community dwellers with diabetes mellitus experiences and or challenges with regards to the inclusion of physical activity in their management of their disease. Focus group discussions were conducted with 26 individuals with diabetes mellitus from 6 randomly selected community health care centres in the Cape Metropolitan Region, Western Cape. The discussions yielded five (5) main themes: safety/fear; lack of time/conflicting responsibilities; co-morbidities; lack of motivation/enjoyment and involvement of others. It is clear that individuals with diabetes mellitus in urban communities experience several environmental and social facilitators and/or barriers to incorporating physical activity in their daily routines. Therefore when designing or promoting physical activity interventions for individuals with diabetes mellitus in urban communities it is important to create safe and supportive environments to enhance participation.
Teachers’ and Students’ Attitudes toward Using Interactive Powerpoint in Teaching-Learning Processes

: This study was attempted to investigate teachers‟ and students‟ attitudes towards using interactive PowerPoint in teaching-learning processes in College of Education and Behavioural Sciences. Descriptive survey research design was employed in carrying out this study. Primary data were collected through questionnaire and observation checklists. The Stratified random sampling technique was employed to select 207 undergraduate students from 581 population and 42 teachers who were sampled through availability sampling. One interesting finding was that there was statistically a significant mean difference among teachers who have (i) Maters of Arts (MA) degree in any field of education; (ii) Maters of education (Med); and (iii) Doctorate of Philosophy (PhD) in the attitude of using interactive PowerPoint. The second interesting finding was that there was statistically a significant mean difference between the teachers‟ and students‟ attitude towards using interactive PowerPoint. Another important finding was that there was statistically significant positive relationship between students‟ Cumulative Grade Point Average and the frequency of using interactive PowerPoint. Finally, there was statistically significant positive relationship between teachers‟ attitude towards using interactive PowerPoint and the frequency of using it . From the stepwise multiple regression coefficients (R = 0.87), it was found that using interactive PowerPoint were contributed 76% (R 2 *100) to students‟ learning whereas the rest 24% ( 1-R 2 )*100 ) were unpredicted variables that were contributed to students‟ learning. In general, it can be conclude that the use of interactive PowerPoint has considerable potential for encouraging more teachers and learners for further interacting in the course of teaching-learning processes.
Brain Tumor Detection And Recognition From MRI Scan

: This paper focuses on the medical image processing which is considered nowadays a challenging field. It is an emerging domain which presents processing of Magnetic Resonance Images (MRI) as one of important part. This work proposes a fast and robust practical strategy to extract a brain tumour using patient's MRI scan images of the brain. For this purpose, some tools are used which include the basic concepts of image processing such as noise removal functions, segmentation and morphological operations. To detect and extract a tumour from MRI scan, a MATLAB software code is implemented.
The Effectiveness of China’s Monetary Policy: Based on the Mixed-Frequency Data

After the period of rapid growth, the Chinese economy has entered the ? new normal? stage. This is a sign of the expected slowdown in economic growth. In the course of development, has the effectiveness of China? s monetary policy changed? Which of quantity and price rule monetary policies is more suitable for China? s economy? Very few researches focus on these questions, and this paper constructed a novel Mixed-Frequency Bayesian Factor Augmented Vector AutoRegression (MF-BFAVAR for short) model by combining the dynamic factor model, mixed-frequency spirit, Bayesian estimation, and factor augmented vector autoregression to find the answer. And we applied three different frequencies of data, in order to get the best estimated results. The conclusion is that price rule monetary policy is suitable for the period of steady development, and when economic growth suffers fluctuations, quantity rule monetary policy has better performance. Therefore, monetary policymakers should formulate the most effective policy based on different situations.