Miracle-dz/UniFAR-FTUs huggingface dataset:
Impacts of Global Climate Change on the Future Ocean Wave Power Potential: A Case Study from the Indian Ocean

This study investigates the impacts of global climate change on the future wave power potential, taking Sri Lanka as a case study from the northern Indian Ocean. The geographical location of Sri Lanka, which receives long-distance swell waves generated in the Southern Indian Ocean, favors wave energy-harvesting. Waves projected by a numerical wave model developed using Simulating Waves Nearshore Waves (SWAN) wave model, which is forced by atmospheric forcings generated by an Atmospheric Global Climate Model (AGCM) within two time slices that represent “present” and “future” (end of century) wave climates, are used to evaluate and compare present and future wave power potential around Sri Lanka. The results reveal that there will be a 12–20% reduction in average available wave power along the south-west and south-east coasts of Sri Lanka in future. This reduction is due mainly to changes to the tropical south-west monsoon system because of global climate change. The available wave power resource attributed to swell wave component remains largely unchanged. Although a detailed analysis of monthly and annual average wave power under both “present” and “future” climates reveals a strong seasonal and some degree of inter-annual variability of wave power, a notable decadal-scale trend of variability is not visible during the simulated 25-year periods. Finally, the results reveal that the wave power attributed to swell waves are very stable over the long term.
Changes in Tourism Destination Image of Guangzhou

This study explored the changes in tourism destination image of Guangzhou through the most popular travel notes collected from Mangfengwo between 2010 and 2019. Tourist Gaze Theory and Symbolic Interaction Theory were applied to the article in order to construct a model of Organic Image and Compound Image, explaining that compound image of previous tourists will make an influence on organic image of potential tourists. We combined content analysis method and cluster analysis method, using NVivo to identify the characters of spaces, emotions and experiences shown in the titles of travel notes. It is found that 1) Attractions in Guangzhou are abundant but the distribution is scattered, and the homogeneity of similar category is high, which can easily lead to the outflow of tourists to the surrounding cities; 2) Tourists have strong perception of the history and local characteristics of Guangzhou, but lack of the perception of modernization; 3) The culture of food has a great importance in shaping and promoting city image of Guangzhou; 4) Parent-child travel can be used as the focus of propaganda. The titles of travel notes are the first factor when attracting readers, which can well reflect their interests and expected impression. Therefore, we suggest that destination marketing organizations should: 1) strengthen the construction of its own tourism resources, differentiate the creation of similar tourism spots and introduce modern technology to enrich the experience of tourists; 2) pay attention to guiding the creation of UGC as the title of travel notes is the first element that comes into tourists’ sight and can reflect their interest as well as expected impressions in Guangzhou.
A DOUBLY NONNEGATIVE RELAXATION FOR MODULARITY DENSITY MAXIMIZATION (Optimization for the new age : modeling method and numerical calculation)

Modularity proposed by Newman and Girvan is the most commonly used measure when the nodes of a graph are grouped into communities consisting of tightly connected nodes. However, some authors pointed out drawbacks of the modularity, the main issue of which is resolution limit. Resolution limit refers to the sensitivity of the modularity to the total number of edges in the graph, which leaves small communities not identi(cid:12)ed and hidden inside larger ones. To overcome this drawback, Li et al. have proposed a new measure called modularity density. In this paper, introducing a variant of a semide(cid:12)nite programming called $0$ -ISDP, we show that the modularity density maximization can be modeled as $0$ -ISDP equivalently. Then we solve a relaxation problem of $0$ -ISDP to obtain an upper bound on the modularity density, and propose a lower bounding algorithm based on the combination of spectral heuristics and dynamic programming.
Qualitative exploration of service users ’ and health professionals ’ views regarding a psychosocial intervention targeting pregnant women experiencing domestic and family violence

1 School of Nursing and Midwifery, Griffith University, Brisbane, Queensland, Australia, 2 Department of Nursing, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal, 3 Women’s Wellness Research Program, Menzies Health Institute Queensland, Brisbane, Queensland, Australia, 4 Gold Coast University Hospital, Gold Coast, Queensland, Australia, 5 Department of Obstetrics and Gynaecology, B.P. Koirala Institute of Health Sciences, Dharan, Nepal, 6 College of Nursing, B.P. Koirala Institute of Health Sciences, Dharan, Nepal, 7 Faculty of Health, University of Technology Sydney, Sydney, Australia
Measuring Real Activity Using a Weekly Economic Index

This paper describes a weekly economic index (WEI) developed to track the rapid economic developments associated with the onset of and policy response to the novel coronavirus in the United States. The WEI is a weekly composite index of real economic activity, with eight of ten series available the Thursday after the end of the reference week. In addition to being a weekly real activity index, the WEI has strong predictive power for output measures and provided an accurate nowcast of current-quarter GDP growth in the first half of 2020. We document how the WEI responded to key events and data releases during the first six months of the pandemic.
Simultaneous acoustical and optical measurements on single ultrasound contrast agent microbubbles

Ultrasound Contrast Agent microbubbles are micron-sized encapsulated bubbles that are injected in the bloodstream to increase the contrast for medical ultrasound imaging. For an improved contrast detection technique it is important to understand the interaction of single bubbles with ultrasound. A new method to simultaneously record the optical and acoustical response of a single UCA-microbubble is presented. The use of this setup is illustrated with several examples and an extensive dataset of over 400 measurements is compared to bubble dynamics models using numerical simulations. Various nonlinear phenomena, which are important for the imaging application, are observed, including a ‘transient startup’. A substantial part of our measurements performed at low acoustic pressures displayed subharmonics. The link between subharmonics and surface modes is investigated. In addition, the potential of measuring with long chirps is demonstrated.
Effect of construction-related activities on marine mammals.

: During the construction of a gas pipeline from an offshore gas field in northwest Ireland, a year-round shore-based marine mammal monitoring programme was undertaken. Using 6 yr of data, generalised estimating equations-generalised additive models (GEE-GAMs) were used to investigate if construction-related activity and vessel traffic influenced the occurrence of common dolphin, minke whale, harbour porpoise and grey seal within the area where the pipeline made landfall. Construction-related activity reduced harbour porpoise and minke whale presence, whilst an increase in vessel numbers (independent of construction-related activity) reduced common dolphin presence. All species showed some degree of annual and seasonal variation in occurrence. For common dolphins and harbour porpoises, we found similar seasonal patterns to those reported in broader Irish waters, which tentatively suggests that seasonal patterns persisted irrespective of construction-related activity or vessel traffic, indicating that any impact might have been only short-term. Multiple construction-related activities occurred simultaneously in different areas, and the inter-annual variation may, in part, be an indication of variation in species’ re sponse to particular activities, their intensity and their location. However, the precise location of the activities was not regularly recorded, limiting our ability to investigate the fine-scale spatio−temporal impact of the diverse range of construction-related activities. Improved communication and coordination between developers, regulators and scientists will help ensure that monitoring programmes are effective and efficient, to better inform our understanding of potential impacts and to mitigate effectively against them for future developments.
Pregnancy With Partner Violence Against Chinese Women

Whether pregnancy is a risk factor for intimate partner violence is a controversial topic. The present study addresses this issue using a large, representative sample containing detailed information on partner violence including physical and sexual abuse as well as perpetrator-related risk factors. Specifically, the following research questions are addressed: (a) Is pregnancy associated with partner violence against women? (b) Does this relationship remain when control variables such as demographic characteristics and the behavioral and relationship characteristics of male perpetrators are included? Data from a representative sample of 2,225 men were analyzed. The selfreported prevalence of men’s violence against their female partners was computed and compared in terms of demographic, behavioral, and relationship characteristics. The preceding-year prevalence of physical assault, sexual violence, and “any violence or injury” among the group 1University of Hong Kong, Hong Kong, People’s Republic of China 2University of Manitoba, Winnipeg, Canada 3Kwong Wah Hospital, Hong Kong, People’s Republic of China Corresponding Author: Dr. Ko Ling Chan, Department of Social Work and Social Administration, The University of Hong Kong, Pokfulam, Hong Kong, People’s Republic of China. Email: eklchan@hkucc.hku. hk 2 Journal of Interpersonal Violence XX(X) whose partners were pregnant was 11.9%, 9.1%, and 18.8%, respectively. This is significantly higher than the nonpregnant group. Pregnancy was significantly associated with increased odds of violence, including physical assault, sexual violence, and “any violence or injury” (ORs = 2.42, 2.42, and 2.60, respectively). Having controlled for relationship characteristics including social desirability, social support, in-law conflict, dominance, and jealousy of male perpetrators, pregnancy was significantly associated with “any violence or injury. ” Demographic and behavioral variables accounted for pregnant women’s significantly higher odds of having been abused in the year preceding the data collection. This study provides preliminary findings on the association between pregnancy and partner violence. Our findings underscore the need to screen for violence among pregnant women in clinical health care settings as well as in communities. Perpetrator-related risk factors should be included in the assessment of risk for partner violence against pregnant women. For the prevention of intimate partner violence, family-based intervention is needed to work with victims as well as perpetrators. [AQ: 1]
Analyze of Crocodile Ship Prototype Hull Resistance in Hydrofoil Mode

This study presents resistance simulation of Crocodile ship prototype in hydrofoil mode in calm seawater conditions using CFD in hydrofoil mode. The RANSE (Reynolds Averaged Navier-Stokes Equation) methods are used for the viscosity solution of turbulent flow around the ship hull. Different turbulent models are used for the comparison of their results in ship resistance calculations, for selecting the appropriate methods. This study on the creation of geometrical model which considers exact pressure and velocity around vessel submerged in hydrofoil mode in calm seawater conditions, grid generation, setting mathematical model in Fluent and evaluation of the simulations results. Comparison with experimental results also carried out.
Shifts in gestural timing as the basis for non-coronal fricative mergers in 1 Southwestern Mandarin: acoustic evidence from a dialect island

9 Merger between a voiceless labiodental fricative, /f/, and a voiceless velar fricative, /x/, is 10 common across languages, including many dialects of Chinese, particularly varieties of 11 Southwest Mandarin. The sound changes that lead to merger in Southwest Mandarin dialects 12 are bidirectional: in some, /f/ becomes /x/; in others /x/ becomes /f/. We conducted a study of 13 phonetic variation in one such dialect, Zhongjiang Chinese, which has been reported to merge 14 /x/ to /f/ in the environment of /w/. Our results confirm this basic pattern while revealing 15 additional nuances, including a new environment for merger, /_oŋ/, and new phonetic details. 16 In particular, /f/ exhibits a wide range of spectral variation, including tokens with a low 17 frequency spectral peak, characteristic of a velar constriction. We interpret the pattern of 18 spectral variation for /f/ in the Zhongjiang dialect evidence for a secondary velar articulation, 19 /fɣ/. This result sheds new light on bidirectional sound change, as both directions of change, 20 /fɣ/→/xw/ and /xw/→/fɣ/, can be understood in terms of the same mechanism, shifts in the 21 relative timing of labial and dorsal gestural components of the fricatives. 22
Variabilidad de la frecuencia cardíaca para evaluar el efecto de la privación del sueño en tropas de montaña del ejército chileno : un estudio piloto

Introducción: Nuestro objetivo fue identificar el efecto de la falta de sueño en una prueba de esfuerzo que simula una marcha militar, a través de cambios en la variabilidad de la frecuencia cardiaca (VFC) en tropas especiales de montaña. Ocho sujetos de tropas especiales de montaña realizaron una prueba de marcha simulada en una cinta de correr. La prueba de marcha incremental tuvo 7 etapas de 3 minutos de duración a una velocidad constante de 5 km/h y pendientes de 1, 3, 5, 7, 8, 9 y 10%. Para evaluar la VFC, se tomaron los registros de latidos latido del corazón durante 5 minutos en posición de decúbito dorsal antes y después de la prueba de marcha; la primera sesión tuvo lugar sin privación de sueño y al día siguiente con privación de sueño. Resultados: El principal hallazgo de este estudio es que el estrés fisiológico impuesto por la marcha simulada de la cinta rodante es el mismo con y sin privación del sueño. No hubo diferencias significativas entre los datos de VFC anteriores y posteriores en ninguna de las situaciones, pero el tamaño del efecto fue moderado o grande (d = 0.2 se consideró como umbral de cambio pequeño). Indica una respuesta altamente relevante. Sin embargo, después de comparar con y sin las pruebas de privación de sueño, no se encontraron cambios (no significativos y no relevantes). Conclusiones: La prueba de esfuerzo realizada no presentó diferencias en las respuestas físicas y fisiológicas al estar privada de sueño durante 24 horas. Se propone una prueba simple para evaluar el efecto de la falta de sueño como agente estresante. Se realizaría una prueba de la cinta rodante a una velocidad constante con pendientes crecientes y se repetiría al día siguiente después de 24 horas de falta de sueño. Palabras clave: Variabilidad de la frecuencia cardiaca. Privación de sueño. Tropas Especiales de Montaña. Summary
Implementing machine learning in the stock picking process of Nova students portfolio

In a time when algorithmic trading accounts for over 50% of US equities’ traded volume, this work project proposes a holistic approach to the implementation of Machine Learning in the Stock Picking process of the Nova Students Portfolio. The presented algorithms can help investors in the identification of the features that drive stock returns and results show that our predictive algorithm provides an edge in the selection of outperforming stocks. An investor using our method from 2006 to 2019 would have achieved an annualized return of 4.8% in excess of the S&P 500 and an Info Sharpe gain of 0.2.
Enhanced Logarithmic Search Technique for Motion Estimation with Three Step Reduction

-Video compression is the one which has highest demand in the area of video processing. Motion estimation (ME) is the basic of Video compression. There are several algorithms to estimate the motion estimation of current block in reference frame. In the view of this a new novel technique has been proposed in namely Logarithmic Search with Three Step Reduction (LSTSR) which is computationally more efficient than many of the existing techniques. Simulation result shows that it performs better than that of Three Steps Search (TSS), New Three Step Search (NTSS) and reduces the checking points by almost 50% than that of TSS.
Changes in effective stress during the 2003-2004 Ubaye seismic swarm , 1 France 2 3 Running title : Changes in effective stress during the Ubaye swarm 4 5

20 We study changes in effective stress (normal stress minus pore pressure) that occurred 21 in the French Alps during the 2003-2004 Ubaye earthquake swarm. Two complementary 22 datasets are used. Firstly, a set of 974 relocated events allows us to finely characterize 23 the shape of the seismogenic area and the spatial migration of seismicity during the 24 crisis. Relocations are performed by a double-difference algorithm. We compute 25 difference in travel-times at stations both from absolute picking times, and from cross26 correlation delays of multiplets. The resulting catalogue reveals a swarm alignment 27 along a single planar structure striking N130°E, and dipping 80°W. This relocated 28 activity displays migration properties consistent with a triggering by a diffusive fluid 29 overpressure front. This observation argues in favor of a deep-seated fluid circulation, 30 responsible for a significant part of the seismic activity in Ubaye. Secondly, we analyze 31 time series of earthquake detections at a single seismological station, located just above 32 the swarm. This time series forms a dense chronicle of +16,000 events. We use it to 33 estimate the history of effective stress changes during this sequence. For this purpose, we 34 model the rate of events by a stochastic Epidemic-Type Aftershock Sequence model 35 (ETAS) with a non-stationary background seismic rate λ0(t). This background rate is 36 estimated in discrete time windows. Windows lengths are optimally determined 37 according to a new change-point method, based on the inter-event times distribution. 38 We propose that background events are directly triggered by a transient fluid 39 circulation at depth. Then, using rate-and-state constitutive friction laws, we estimate 40 changes in effective stress for the observed rate of background events. We assume that 41 changes in effective stress occurred under constant shear stressing rate conditions. We 42
1 1 The high-resolution version of TM 5-MP for optimised satellite retrievals : Description and Validation . 2 3

The high-resolution version of TM5-MP for optimised satellite retrievals: Description and Validation. 2 3 J. E. Williams 1 , K. F. Boersma 1,2 , P. Le Sager 1 , W. W. Verstraeten 1,2,* 4 5 [1] {KNMI, De Bilt, The Netherlands} 6 [2] {Meteorology and Air Quality Group, Wageningen University, Wageningen, The Netherlands} 7 [*] now at: KMI, Ukkel, Brussels, Belgium 8 9 Abstract 10 We provide a comprehensive description of the high-resolution version of the TM5-MP global Chemistry11 Transport Model which is employed to provide highly resolved vertical profiles of nitrogen dioxide (NO2), 12 formaldehyde (CH2O), and sulphur dioxide (SO2) for use in satellite retrievals from platforms such as the Ozone 13 Monitoring Instrument (OMI) and the Sentinel-5 Precursor, the TROPOspheric Monitoring Instrument 14 (TROPOMI). Comparing seasonal differences in the global distributions of 222 Rn we show that there are 15
Influence of Entrepreneurial Innovation on Sustainable Solid: Waste Recycling in Abuja, Nigeria

One of the most serious challenges that city dwellers face in a developing nation is unsatisfactory solid waste management. This research investigates the impact of entrepreneurial innovation in solid waste recycling capacity in Abuja, federal capital city of Nigeria. The study employs a survey approach entailing the use of questionnaire for primary data collection. The data collected were analysed using a regression statistical technique. The findings of the study reveal that entrepreneurial activities can be used to enhance competencies in sustainable solid waste management in Abuja, Nigeria. Specifically, we found that entrepreneurial innovation has a significant positive effect on solid waste recycling capacity (p < 0.01). The study concludes that entrepreneurial innovation will encourage efficiency and effectiveness in solid waste recycling practices in Abuja, Nigeria. The study, therefore, recommends that the government should put in place structures that encourage entrepreneurial innovation in solid management so as to enhance the sustainable solid waste recycling capacity in Abuja, Nigeria. Solid waste recycling has long been thought of as playing an important role in solid waste management. This research affirms that entrepreneurial innovation would aid the improvement of the solid waste recycling capacity thereby optimising the chances of achieving sustainable solid waste management in Abuja, Nigeria. Currently there is a paucity of studies that examine the effects of entrepreneurial innovation specifically on solid waste recycling and sustainable development in Abuja, Nigeria. This study contributes an important additional dimension in the search for sustainable solid waste management in Abuja, Nigeria.
Visual Assessment for Non-Disruptive Object Extraction

Robots operating in human environments need to perform a variety of dexterous manipulation tasks on object arrangements that have complex physical support relationships, e.g. procuring utensils from a large pile of dishes, grabbing a bottle from a stuffed fridge, or fetching a book from a loaded shelf. The cost of a misjudged extraction in these situations can be very high (e.g., other objects falling) and therefore robots must be careful not to disturb other objects when executing manipulation skills. This requires robots to reason about the effect of their manipulation choices by accounting for the support relationships among objects in the scene. Humans do this in part by visually assessing the scene and using physics intuition to infer how likely it is that a particular object can be safely moved. Inspired by this human capability, we explore how robots can emulate similar vision-based physics intuition using deep learning based data-driven models. We formulate our research problem as a scene understanding task for visually assessing the feasibility of extraction from an arrangement of objects. We focus on data-driven approaches that assess possible object interactions with only a few glimpses of the scene. Ongoing work has shown that deep convolutional neural networks can learn intuitive physics over images generated in simulation and determine the stability of an arrangement of objects in the real world. We extend these physics intuition models to the task of assessing safe object extraction by conditioning the visual images on specific objects in the scene using object masks. Our method identifies which objects can be safely extracted, from which direction to extract them, and the potential impact such extraction will have on nearby objects. Our results, in both simulation and real-world settings, show that physics intuition models using our proposed method can successfully inform a robot’s actions during object extraction. We compare the performance of our method against simulation-based and geometry-based assessment methods and highlight their pros and cons for their application to the task of assessing safe object-extraction. Furthermore, we show that using aggregation techniques to combine multiple views, we can obtain a unified visual assessment that improves the model’s predictive performance.