Miracle-dz/UniFAR-FTUs huggingface dataset:
International Review of Research in Open and Distributed Learning Examining Motivation in Online Distance Learning Environments: Complex, Multifaceted, and Situation-Dependent

Existing research into motivation in online environments has tended to use one of two approaches. The first adopts a trait-like model that views motivation as a relatively stable, personal characteristic of the learner. Research from this perspective has contributed to the notion that online learners are, on the whole, intrinsically motivated. The alternative view concentrates on the design of online learning environments to encourage optimal learner motivation. Neither approach acknowledges a contemporary view of motivation that em - phasises the situated, mutually constitutive relationship of the learner and the learning environment. Using self-determination theory (SDT) as a framework, this paper explores the motivation to learn of preservice teachers in two online distance-learning contexts. In this study, learners were found to be not primarily intrinsically motivated. Instead, student motivation was found to be complex, multifaceted, and sensitive to situational conditions.
Temporal stability of within-field variability for total soluble solids in four irrigated grapevines cultivars growing under semi-arid conditions

The aim of this work was to study the intra and inter-annual temporal stability of the within-field variability (TSWFV) of total soluble solids (TSS) as an estimate of grape maturity. The experiment was carried out between 2009 and 2014, on four fields all of them located in the Maule Valley, Chile, under irrigated conditions. A regular sampling grid was designed within each vine field. On each site of the grid, TSS was measured at different dates (from veraison to harvest). A Kendall test (W) was used to analyse the TSWFV between all dates measured for each cultivar and season. A Spearman’s rank correlation coefficient (rs) was used to analyse the relationships between sampling dates, taking as reference the harvest. Results of the study highlighted the within-field variability observed in TSS. W highlighted a significant intra and inter annual TSWFV and rs values showed a high and significant correlation between sampling dates. For precision viticulture management, these results are significant and show that, under semi-arid conditions, TSS maps obtained 40 days before harvest present the same spatial patterns until harvest.
Evaluation des préférences des touristes en matière d'aménagement des zones côtières : regard sur et par l'ostréiculture

The aim of this paper is to provide an analysis of tourists' preferences concerning land use management in Arcachon Bay (France). We focus more precisely on oyster framing, an activity which built a large part of the identity of the area. We refer to the notion of heritage to deal with the market and non-market dimensions linked to this activity in order to tackle sustainable territorial governance issues – as Integrated Coastal Zone Management (ICZM) supposes. To do that, we set out to establish which forms of oyster farming tourists in this coastal area value. The choice experiment method is applied in order to analyse individual preferences. This method has been used extensively in research on non-market issues (such as landscape preferences) and multi-functionality of agriculture but until now has never been applied to oyster farming. By implementing a latent class logit model, it allows us to bring to light, in the Arcachon Bay area, the fact that the heterogeneity of tourists is important. Our results also highlight the fact that the amenity dimension is valued as much as the productive dimension of this industry, but differently, depending on the class of tourist concerned. These findings have implications for decision makers of this territory, who are faced with
An Intelligent Raspberry-Pi-Based Parking Slot Identification System

A growing population necessitates more transportation, which pressures car parking spots. Parking is a problem for public places in cities, such as theatres, malls, parks, and temples. Even though several techniques have been suggested in publications, manual parking systems are still used in most places. For large locations where it is challenging to find open spaces, traditional parking arrangements need to be more archaic and convoluted. This might lead to heavy traffic, minor mishaps, and widespread accidents. In the modern era of sophisticated parking management systems, an automatic parking spot-detecting system has been introduced in an innovative format. Experts in computer vision are drawn to this emerging field to contribute. The system could tell if the automobile was fully or partially parked. Neither during the process nor afterward, human oversight is required. As parking management enters the modern era, computer vision is becoming increasingly critical. The parking system will not only make it easier for drivers to identify parking spaces but also enhance parking administration and monitoring. Vehicles will be able to observe available parking spots due to technology that monitors parking spaces. India and other emerging nations, as well as industrialized ones, have recently shown interest in smart cities. This article's smart auto parking system was conceived and implemented utilizing a Raspberry Pi and cameras placed in various parking spaces. Using a website and an Android app, this project creates and deploys a real-time system that enables vehicles to efficiently find and reclaim open parking spaces.
USING A SPATIAL SYNOPTIC CLIMATOLOGICAL CLASSIFICATION TO ASSESS CHANGES IN ATMOSPHERIC POLLUTION CONCENTRATIONS

A spatial synoptic climatological classification is developed for assessing spatial and temporal changes in atmospheric pollution concentrations. Based upon surface weather data for the conterminous United States for 1984, daily maps are produced depicting areas influenced by similar weather conditions. The classification is developed by applying principal components analysis to a daily matrix of 141 stations by 24 weather elements, chosen to represent both thermal/moisture conditions and surface air flow. The principal component scores are grouped using a two-stage clustering technique. The result is a map showing lobes of air which have relatively homogeneous meteorological characteristics and correspond to surface weather map features. The classification is then related to atmospheric concentrations of sulfur dioxide and nitrogen dioxide in nine cities. High concentrations are found in stable air masses and during strong anticyclonic control, whereas low concentrations occur in moist, unstable air mass.
MIT Open Access

—The underwater environment severely constrains robotic navigation and communications, making the use of traditional multi-robot control and coordination schemes very difﬁcult. These challenges are further exacerbated on a new generation of low-cost autonomous underwater vehicle (AUV) that lack a Doppler velocity log (DVL), acoustic modem or high-end inertial sensors typically used for underwater robotic navigation and communications. This work demonstrates multi-robot operations for low-cost AUVs via a novel and user-friendly operating paradigm that allows intuitive command and control of an AUV group. Each vehicle is equipped with a low-power and inexpensive acoustic system that enables it to navigate and receive operator commands. This system consists of a passive array of hydrophones and a timed acquisition and data processing stack that allows each AUV to self-localize relative to a single time-synchronized acoustic beacon. Switching be-tween different operational ‘modes’ on the beacon causes it to broadcast different acoustic signals which, when received by the AUVs, result in the vehicles switching between different autonomous behaviors. These behaviors are deﬁned in a beacon-centric coordinate system using pre-deﬁned parameters unique to each vehicle; as a result, the movement of the beacon itself allows the operator to control the group-wide movement of all vehicles concurrently. This work presents ﬁeld experiments with three SandShark AUVs in which the beacon and operator are collocated on a motorboat, allowing both operational mode and beacon movement to be controlled manually. However, by installing the beacon on a conventional mid or large-size AUV or autonomous surface vehicle (ASV), this paradigm provides a method for the remote command and control of an arbitrarily large number of miniature, low-cost AUVs, without the need for sophisticated navigational sensors or acoustic modems.
A Qualitative Evaluation of patients ’ experiences of a Psychoeducational Programme to Restore Hypoglycaemia Awareness

Aims: Impaired awareness of hypoglycaemia (IAH) in people with type 1 diabetes is a dangerous condition that is associated with a six-fold greater risk of severe hypoglycaemia. A new psychoeducational programme, DAFNE-HART, has been specifically designed to address persistent IAH. The initial pilot showed promising outcomes including fewer hypoglycaemic episodes and improved hypoglycaemia awareness. This aim of this paper is to describe the development and qualitative evaluation of DAFNE-HART from participant interviews.Methods: DAFNE-HART incorporates diabetes education with two psychological approaches that have demonstrated efficacy in long-term health conditions: motivational interviewing and cognitive behaviour therapy. The course, delivered across two UK locations included both group and individual support over a six-week period facilitated by DAFNE educators, trained and supervised by a clinical psychologist. Semi-structured interviews were conducted with 19 participants immediately after their courses and the interviews were analysed using grounded theory.Results: Five main themes emerged which describe the behavioural changes people made to their diabetes management, the development of new attitudes and beliefs, their experiences of regaining hypoglycaemia cues, reactions to the course format and the significance of the relationship with their care provider. Participants provide insights into how the course changed their view of IAH and led to practical changes in minimising hypoglycaemia.Conclusions: Integration of psychological techniques into diabetes education can address the cognitive and motivational barriers to restoring awareness and optimal diabetes management. It is suggested that further research is needed to evaluate this programme in a larger sample and to measure sustainability. Dr Emma Shuttlewood Clinical Health Psychology Clarence Wing St. Mary’s Hospital Praed Street London W2 1NY 1 October 2014 Dear Diabetes Research and Clinical Practice, Please accept a submission for the following paper to be considered for publication: A qualitative evaluation of DAFNE-HART: A psychoeducational programme to restore hypoglycaemia awareness This paper has been written and edited by Shuttlewood, De Zoysa, Rankin and Amiel. I, the corresponding author, have now left the department at King’s College London but am happy to be contacted about his paper. I look forward to hearing the reviewer’s comments.
Acta Botanica Brasilica

Mimosa baptistae is a new species presenting stalked glandular trichomes that give it a glutinous appearance, mainly with respect to the leaflets. Furthermore, it is an aculeate species, with multijugate leaves, white stamens, and fruits also covered by glandular trichomes. A herbaria survey and fieldwork only recorded this species as occurring on sandstone outcrops of the city Caçapava do Sul, Brazil. The species may be confused with other species of Mimosa sect. Batocaulon ser. Stipellares such as M. bifurca, M. sobralii and M. lepidota. However, features such as absence/presence of aculei, stamens color, habitat, and flower features are useful for distinguishing them from the new species. Here, we provide notes on morphology, geographic distribution, as well as anatomical detail of its glandular trichomes and content. Finally, we discussed the taxonomic significance of the micromorphology of glandular trichomes and their content in Mimosa ser. Stipellares as well as the potential applicability of such features to better understand the morphology of this series.
Remote sensing of land use and carbon losses following tropical deforestation

The new Paris Agreement, approved by 195 countries under the auspice of the United Nations Framework Convention on Climate Change (UNFCCC), calls for limiting global warming to “well below" 2°Celsius. An important part of the climate agreement relates to reducing emissions from deforestation and forest degradation, and enhancing carbon stocks (REDD+) in non-Annex I (mostly developing) countries. Over the last decades the growing demand for food, fibre and fuel has accelerated the pace of forest loss. In consequence, tropical deforestation and forest degradation are responsible for a large portion of global carbon emissions to the atmosphere, and destroy an important global carbon sink that is critical in future climate change mitigation. Within the REDD+ framework, participating countries are given incentives to develop national strategies and implementation plans that reduce emissions and enhance sinks from forests and to invest in low carbon development pathways. For REDD+ activities to be effective, accurate and robust methodologies to estimate emissions from deforestation and forest degradation are crucial. Remote sensing is an essential REDD+ observation tool, and in combination with ground measurements it provides an objective, practical and cost-effective solution for developing and maintaining REDD+ monitoring systems. The remote sensing monitoring objective for REDD+ is not only to map deforestation but also to support policy formulation and implementation. Identifying and addressing drivers and activities causing forest carbon change is crucial in this respect. Despite the importance of identifying and addressing drivers, quantitative information on these drivers, and the related carbon emissions, is scarce at the national level. The main objective of this thesis is to explore the role of remote sensing for monitoring tropical forests for REDD+ in general, and for assessing land use and related carbon emissions linked to drivers of tropical deforestation in particular. To achieve this, this thesis investigates the following research questions: What is the current role and potential of remote sensing technologies and methodologies for monitoring tropical forests for REDD+ and for assessing drivers of deforestation? What is the current state of knowledge on drivers of deforestation and degradation in REDD+ countries? What are land use patterns and related carbon emissions following deforestation, capitalising on available land use and biomass remote sensing data? The research conducted in this PhD thesis contributes to the understanding of the role of remote sensing in forest monitoring for REDD+ and in the assessment of drivers of deforestation. In addition, this thesis contributes to the improvement of spatial and temporal quantification of land use and related carbon emissions linked to drivers of tropical deforestation. The results and insights described herein are valuable for ongoing REDD+ forest monitoring efforts and capacity development as REDD+ moves closer to becoming an operational mitigation mechanism.
Explaining flexible continuous speech comprehension from 1 individual motor rhythms 2

When speech is too fast, the tracking of the acoustic signal along the auditory pathway deteri- 41 orates, leading to suboptimal speech segmentation and decoding of speech information. Thus, 42 speech comprehension is limited by the temporal constraints of the auditory system. Previous 43 research suggests that individual differences in auditory-motor coupling strength might shape 44 such temporal constraints. In two behavioral experiments, we characterize individual differ- 45 ences in the comprehension of naturalistic speech as function of the individual coupling 46 strength between the auditory and motor systems, and the preferred frequencies of the sys- 47 tems. As expected, speech comprehension declined at higher rates. Importantly, both, higher 48 auditory-motor coupling and higher spontaneous speech motor production rates were related 49 to better speech-comprehension performance. Furthermore, performance increased with 50 higher linguistic sentence predictability (using a recurrent neural network) -particularly at higher 51 speech rates and for individuals with high auditory-motor coupling strength- and with partici- 52 pants’ higher working memory capacity (Digit Span). These findings support the notion of an 53 individual preferred auditory regime that allows for optimal auditory (speech) processing. Cru- 54 cially, we provide evidence for a model that assigns a central role to motor-system-dependent 55 individual flexibility in continuous speech comprehension. 56 57
Surgical treatment of male breast cancer metastasis to thoracic spine: A case report

Purpose: We present a rare clinical case of a metastatic spinal tumor in the 7th thoracic spine from male breast cancer (MBC). Method: A 62-year-old man was referred as an outpatient, complaining of continuous pain in the back and right flank that began 2 weeks earlier. The patient had no neurologic signs or symptoms but had a medical history of left breast modified radical mastectomy because of MBC. Computed tomography and magnetic resonance imaging showed metastasis in the T7 vertebra and no other metastasis on positron emission tomography/computed tomography or bone scan. Separation surgery was performed with posterior corpectomy of T7 (en bloc excision), followed by stabilization with an expandable titanium cage and pedicle screws. The pathological examination of the excised T7 vertebra confirmed metastatic carcinoma with neuroendocrine differentiation from the breast. Adjuvant chemo-radiotherapy was performed after surgery. Results: The patient had no symptoms at the 21-month follow-up. Radiologic studies showed no evidence of recurrent or metastatic lesions. Conclusion: MBC is extremely rare, with fewer cases of spinal metastases. Among these, patients who undergo separation surgery are even rarer. This case shows that radical surgery can be an option for MBC with spine metastasis if indicated.
Study on Sociodemographic Profiles and Health-Seeking Behaviour in Cervical Cancer Patients in a Tertiary Healthcare Centre in Central India

Introduction: Cervical cancer is one of the fourth most common cancers in females. Although screening and early intervention are preventive and a part of national programs, cervical cancer is attributed to a large number of deaths due to late-stage presentation and late diagnosis. To better understand this phenomenon, this study analyzed the sociodemographic characteristics of cervical cancer patients and assessed their health-seeking behaviour. Methods: This cross-sectional study included 230 cervical cancer patients from the cancer ward of a tertiary care hospital. Detailed information about the onset of symptoms and previous gynecological problems along with sociodemographic details were recorded. Results: Of the 230 cervical patients included, 70% were from rural areas and the majority presented at Stage III and IV. Additionally, 173 out of 230 patients previously had gynaecological problems, of which more than 50% did not initially seek any treatment. The common reasons for not seeking treatment were embarrassment, loss of daily wages, and the thought that it would heal by itself. The majority of those who took treatment went to traditional healers, and a Papanicolaou smear was not conducted on any patient. Conclusion: Lack of awareness about the importance of screening programs along with the embarrassment of addressing any problems leads to unwillingness to access health care for cervical health.
Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health

The risk evaluation of natural disasters is an obstacle to ensuring healthcare services during catastrophic events worldwide. Therefore, timely and appropriate environmental health risk evaluation is essential. In this study, we incorporated the information from databases such as PubMed, Google Scholar, and Scopus. We performed this study to explore the feasibility of using artificial intelligence (AI) in disaster risk and emergency health management. Natural disasters have some phenomenon that is bound to happen. So, we can use AI to inform healthcare authorities about environmental health risks and emergency medical management. The recent innovations in technology have created novel opportunities for improving healthcare services across the world. AI technology would be the backbone of the fourth industrial revolution because we are entering an AI-based world this decade. Therefore, we suggest the authorities consider this positive aspect of AI technology to minimize the disastrous outcomes of any catastrophic events.
Mapping surface motion parameters and liquefaction susceptibility in Tribhuvan International Airport, Nepal

ABSTRACT Local site effects and liquefaction are major causes of building and lifeline damage in Kathmandu Valley as depicted by several historical earthquakes including recent 2015 Gorkha earthquake (Mw 7.8). Critical facilities like airports play important role in post-earthquake relief, response and recovery efforts. Tribhuvan International Airport (TIA) is the only international airport in Nepal that is located in alluvial soil deposit regarded as Gokarna formation. To assess the site effects and liquefaction occurrence in TIA, this study performs one-dimensional ground response analysis as well as liquefaction susceptibility analysis using shallow borehole logs. Surface motion parameters estimated from one-dimensional ground response analysis are mapped for 0.3g and 0.5g peak ground acceleration inputs. In addition to this, qualitative liquefaction susceptibility map is prepared considering the liquefaction potential index estimated for each borehole log.
Lecture Notes in Geoinformation and Cartography

The Lecture Notes in Geoinformation and Cartography series provides a contemporary view of current research and development in Geoinformation and Cartography, including GIS and Geographic Information Science. Publications with associated electronic media examine areas of development and current technology. Editors from multiple continents, in association with national and international organizations and societies bring together the most comprehensive forum for Geoinformation and Cartography. The scope of Lecture Notes in Geoinformation and Cartography spans the range of interdisciplinary topics in a variety of research and application fields. The type of material published traditionally includes: • proceedings that are peer-reviewed and published in association with a conference; • post-proceedings consisting of thoroughly revised final papers; and • research monographs that may be based on individual research projects. The Lecture Notes in Geoinformation and Cartography series also includes various other publications, including: • tutorials or collections of lectures for advanced courses; • contemporary surveys that offer an objective summary of a current topic of interest; and • emerging areas of research directed at a broad community of practitioners.