Miracle-dz/UniFAR-FTUs huggingface dataset:
MATCHING REAL AND SYNTHETIC PANORAMIC IMAGES USING A VARIANT OF GEOMETRIC HASHING

Abstract. This work demonstrates an approach to automatically initialize a visual model-based tracker, and recover from lost tracking, without prior camera pose information. These approaches are commonly referred to as tracking-by-detection. Previous tracking-by-detection techniques used either fiducials (i.e. landmarks or markers) or the object’s texture. The main contribution of this work is the development of a tracking-by-detection algorithm that is based solely on natural geometric features. A variant of geometric hashing, a model-to-image registration algorithm, is proposed that searches for a matching panoramic image from a database of synthetic panoramic images captured in a 3D virtual environment. The approach identifies corresponding features between the matched panoramic images. The corresponding features are to be used in a photogrammetric space resection to estimate the camera pose. The experiments apply this algorithm to initialize a model-based tracker in an indoor environment using the 3D CAD model of the building.
Contribution a la connaissance du genre Gagea Salisb (Liliaceae) de Afrique du Nord

EnglishNew taxonomical and chorological data concerning the North African representatives of the genus Gagea Salisb. (Liliaceae) and their relation with the European ones are given francaisDes nouvelles donnees taxonomiques et chorologiques concernant les representants nord-africains du genre Gagea Salisb. (Liliaceae) et leurs liens avec leurs homologues europeens sont exposees.
Bermuda’s Tale of Two Time Series: Hydrostation S and BATS*

Abstract This paper describes the oceanic variability at Bermuda between 1989 and 1999, recorded in two overlapping hydrographic time series. Station S and Bermuda Atlantic Time Series Study (BATS), which are 60 km apart, both show that a multidecadal trend of deep warming has reversed, likely as a result of the increased production of Labrador Sea Water since the early 1980s. In addition to recording similar changes in watermass properties, the two time series show similar mean vertical structure and variance as a function of pressure for temperature, salinity, and density above 1500 dbar. The seasonal cycles of these water properties at the two sites are statistically indistinguishable. The time series differ in the individual eddy events they record and in their variability below 1500 dbar. The two time series are used to investigate the propagation of eddy features. Coherence and phase calculated from the low-mode variability of density show westward propagation at ∼3 cm s−1 of wavelengths around 300–.
Earnings Management Through Real Activities Manipulation

I find evidence consistent with managers manipulating real activities to avoid reporting annual losses. Specifically, I find evidence suggesting price discounts to temporarily increase sales, overproduction to report lower cost of goods sold, and reduction of discretionary expenditures to improve reported margins. Cross-sectional analysis reveals that these activities are less prevalent in the presence of sophisticated investors. Other factors that influence real activities manipulation include industry membership, the stock of inventories and receivables, and incentives to meet zero earnings. There is also some, though less robust, evidence of real activities manipulation to meet annual analyst forecasts.
Steps toward “useful” hydroclimatic scenarios for water resource management in the Murray‐Darling Basin

There is currently a distinct gap between what climate science can provide and information that is practically useful for (and needed by) natural resource managers. Improved understanding, and model representations, of interactions between the various climate drivers (both regional and global scale), combined with increased knowledge about the interactions between climate processes and hydrological processes at the regional scale, is necessary for improved attribution of climate change impacts, forecasting at a range of temporal scales and extreme event risk profiling (e.g., flood, drought, and bushfire). It is clear that the science has a long way to go in closing these research gaps; however, in the meantime water resource managers in the Murray‐Darling Basin, and elsewhere, require hydroclimatic projections (i.e., seasonal to multidecadal future scenarios) that are regionally specific and, importantly, take into account the impacts, and associated uncertainties, of both natural climate variability and anthropogenic change. The strengths and weaknesses of various approaches for supplying this information are discussed in this paper.
A Survey on Various Sentiment Analysis Approaches and Its Challenges

Sentiment analysis is a broad research area in academic as well as business field. The term sentiment refers to the feelings or opinion of the person towards some particular domain. Hence it is also known as opinion mining. It leads to the subjective impressions towards the domain, not facts. It can be expressed in terms of polarity, reviews or previously by thumbs up and down to denote positive and negative sentiments respectively. Sentiments can be analyzed using NLP, statistics or machine learning techniques. Sentiment analysis may ask questions regarding “customer satisfaction and dissatisfaction, “public opinion towards new iPhone series launched” etc. In real world, public or consumer opinions about some product or brand are very important for its sell. Hence sentiment analysis is a very important research area for real life applications i.e. decision making. However various methods were introduced for performing sentiment analysis, still that are not efficient in extracting the sentiment features from the given content of text. Naive Bayes, Support Vector Machine, Maximum Entropy are the machine learning algorithms used for sentiment analysis which has only a limited sentiment classification category ranging between positive and negative. Especially supervised and unsupervised algorithms have only limited accuracy in handling polarity shift and binary classification problem. Even though the advancement in sentiment Analysis technique there are various issues still to be noticed and make the analysis not accurately and efficiently. So this paper presents the survey on various sentiment Analysis methodologies and approaches in detailed. This will be helpful to earn clear knowledge about sentiment analysis methodologies. This Paper describes different applications of sentiment analysis, techniques and challenges of sentiment analysis. Keywords: Sentiment Analysis, Decision Making, Opinion Mining, Machine Learning, NLP
Modelling of Multi Energy Multi DataTransfer (MEMD) in Wireless SensorNetworks using Energy Harvesting

The main problem in wireless communication networks is the battery resource constrained. Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. Environmental energy will typically not be spread homogeneously over the spread of the network. In this paper, simulation of Energy harvesting Wireless sensor Network (EHWSN) is presented. Finally some examples are presented with Single energy with multi data transfer (SEMD) and Multi energy with multi data transfer (MEMD) in Energy harvesting Wireless sensor Network.
DESIGNING AND IMPLEMENTING A NEW JOINT COURSE BASED ON RESEARCH, SERVICE ROBOTS AND CONCEPT DEVELOPMENT

Digital revolution and automation play an important role in finding new solutions to actual social issues such as aging the population and developing welfare services and the productivity of welfare services. The evolution of artificial intelligence, robotics and cognitive robots has been considered as one way to develop new services, improve the quality of their services, and increase productivity [1]. Successful interaction between humans and robots is one of the most important challenges of future technology. As in any other field of industry, digitalization is changing education and especially health care. This change is ongoing and profound as it affects every level in society. The magnitude of this change is so huge that some label it as the health care revolution. [2]. Changes in work require updating the skills. Use of technology, automation and robotics in different fields require new kind of expertise and training. New requirements in work also set demands for education to use technology [3]. Innovative use of technology, especially using robotics in real life settings during the education, is still weak. New requirements also create demands on curriculum development The purpose of this article is to find out how research project can be the context and new way to learn competences regarding service robots and concept development. The focus is on how to plan and implement a new joint course in master degree level. The content and the process present how student learn in real life situation in a context of a research project. This study is a starting point for planning and conducting Living Lab research towards achieving new competences during master degree studies at Laurea University of Applied Sciences.
Survey on CRM Analytics in Telecommunication Industry

— The goal of data analytics is uncovering fruitful information and decision making from very large data sets in respect to various applications, which can redefine and improve customer relationships. With the increasing need of customizing every product and services the concept of Customer Relationship Management has been introduced. CRM is practiced in business by detecting patterns in customer data. Telecommunication sector is most well known and important to be dealing with customer interests than anyone else since they are well aware of their customers and can efficiently keep record of their customers’ actions. As the colossal volume of data produced by telecommunication companies cannot be evaluated manually, varied data analytics approaches are needed to be applied. Data analytics assists a business grasp its customers in a much superior way. In this paper we will make a survey on the concept of CRM and the use of data analytics in it.
Two-Step Hot-Compressed Water Treatment of Douglas Fir for Efficient Total Sugar Recovery by Enzymatic Hydrolysis

The non-catalytic hydrothermal pretreatment of softwood is generally less effective for subsequent enzymatic hydrolysis. In this study, the efficacy of hot-compressed water (HCW) treatment of Douglas fir was investigated between 180 °C and 260 °C, allowing solubilization of the cellulose components. The enzymatic digestibility of cellulosic residues increased significantly under HCW conditions > 250 °C, and the enhanced glucan digestibility was closely related to the decomposition of the cellulose component. Combination of the first-stage HCW treatment (220 °C, 5 min) to recover hemicellulosic sugars with the second-stage HCW treatment (260 °C, 5 min) to improve cellulose digestibility gave a total sugar recovery of 56.2% based on the dried raw materials. This yield was 1.4 times higher than that from the one-step HCW-treated sample (260 °C, 5 min). Additionally, an enzymatic hydrolysate from the two-step HCW-treated sample exceeded 90% of the ethanol fermentation yield based on the total sugars present in the hydrolysates. These results suggest the potential of the two-step HCW treatment of softwood as a pretreatment technology for efficient total sugar recovery and ethanol production.
Does the Constraint of Factor Loadings Impair Model Fit and Accuracy in Parameter Estimation

The paper reports on the comparison of models of measurement with constrained and free factor loadings as part of confirmatory factor analysis in a simulation study. The comparison was conducted in order to find out whether constrained factor loadings that cause a reduced degree of adaptability to specificities of data mean a disadvantage in comparison to factor loadings that are freely estimated. Furthermore, the way of conducting the link transformation, the sample size and the number of variables were varied. The simulated data were dichotomous and constructed to conform to one underlying source of responding. The investigation of model fit and accuracy in estimating factor loadings yielded similar results for constrained and free factor loadings in confirmatory factor analysis. Furthermore, there were effects due to the type of link transformation and sample size.
The use of emotion in health related messages: employing the exemplification theory to explain the MMR-autism debate

Health communication messages have been found to have a significant positive impact on audiences. However, numerous situations exist in which the general population is exposed to information from non-credible sources. This initial exposure can often bias or impact subsequent searching for more information. Vaccinations have been considered effective as a result of the number of lives that have been saved by preventing life threatening diseases. However there is also a growing group of anti-vaccine sources. The rise of the internet has resulted in the growth of numerous unqualified anti-vaccine sources. Nearly 70% of the health information that people find on the internet is from non-credible sources. These messages often take the form of videos in which a person who makes a passionate claim about the side effects of vaccines uses personal experiences (exemplars). These exemplars are used to counter the volumes of scientific and clinical research which show the effectiveness of vaccinations (base-rate information). This study manipulates the usage of passionate and dispassionate exemplars and base-rate information by simulating a real-world situation. Passionate exemplars were the most likely to create fear in our audience. Increasing the passion of our base-rate presenters exhibited both positive and negative side effects.
Superfoods – idealne uzupełnienie diety

It is well known that diet could have a huge impact on our health. Hippocrates said “Let food be medicine and medicine be food”. Nowadays, we struggle with the plague of obesity and, in consequence, with diabetes mellitus 2, hormone-dependent cancers, and cardiovascular diseases. It is hard not to associate these problems with wrong eating. As a result of the development of international trade and transport in Poland, the number of overseas products, exotic plants, fruit and vegetables has increased. Because of it, we have access to superfoods. They are plant products that have been used for so many years in many quarters of the Earth as panacea for some illnesses or as basic food. Their main characteristic is that they have a lot of nutrients in a small mass or that they have a high concentration of these nutrients we do not have enough in our diets, e.g., omega-3 acids. Superfoods are not only overseas products, we can find many Polish products which can be labelled as superfoods. The aim of this paper was to show their confirmed effectiveness in our bodies (Piel. Zdr. Publ. 2015, 5, 4, 401–408).
The Continuing Puzzle of Short Horizon Exchange Rate Forecasting

Are structural models getting closer to being able to forecast exchange rates at short horizons? Here we argue that misinterpretation of some new out-of-sample tests for nested models, over-reliance on asymptotic test statistics, and failure to sufficiently check robustness to alternative time windows have led many studies to overstate even the relatively thin positive results that have been found. We find that by allowing for common cross-country shocks in our panel forecasting specification, we are able to generate some improvement, but even that improvement is not entirely robust to the forecast window, and much of the gain appears to come from non-structural rather than structural factors.
MATERIAL PRODUCT RELATIONS EXPLORED THROUGH EVERYDAY STUDENT BEHAVIOUR

Longer product lifetimes [1] are one of many strategies explored for more environmentally relevant design, and can as such be included in the product design curriculum at university level. A wider but less well defined theme which underpins longer product lifetimes is the question of (human) relationships to things as physical material. How much do things matter and how much does matter really matter to humans? Design and design education address both physical and virtual relationships of humans with their environment. In the context of environmental imperatives that encourage a logical shift of emphasis to the latter of these two relationships, questioning the former is increasingly important, even if this might appear counter-intuitive. This paper presents and compares simple and complimentary exercises tested in different forms during teaching modules looking at the longevity of material product relations. The aim being to sensitise students to different facets of material relationships starting with their own. These exercises appear to be an effective support for generating group discussion on longer product relations and for encouraging the expression of individual diversity to the peer group. While we do not aim to present here a definitive model, the cumulated experience of these exercises gives an opportunity for highlighting a number of key themes, observations and opportunities.
MAC Protocol for UWB Wireless Body Area Network

Wireless Body Area Network (WBAN) is a networking concept that has evolved with the idea of monitoring vital physiological signals from low-power and miniaturized in-body or on-body sensors. Since WBAN sensor nodes are battery powered, they should be low power devices. The sensor tier communication of a WBAN involves the co-existence of WBAN hardware and Medium Access Control (MAC) protocol that enable the efficient communication of sensor data. The main focus of this paper is to investigate key aspects of MAC protocol used in WBAN systems focusing on Ultra Wideband (UWB) as the wireless technology, payingi attention to its ability to cater to the need of high data rate while operating at a low power. MAC protocol mentioned in this paper have considered manipulation of the physical layer properties of the UWB systems such as number of pulses per data bit (PPB), which can be incorporated with the MAC algorithm in order to make the system more dynamic in terms of Bit Error Rate (BER), data rate, and Quality-of-Service (QoS).
Susceptibility Gene Prediction in Hereditary Disease Retinoblastoma

Nowadays Bioinformatics, proteomics and Genomics are the most intriguing sciences to understand the human genome and diseases. Several hereditary genetic diseases like Retinoblastoma involve a sequence of complex interactions between multiple biological processes. With this paper, genetic similarities were found within a selected group of patient's DNA sequences through the use of signal processing tools. DNA, RNA and protein sequences have similarities in structure and function of the gene with their location. In this paper, we introduce a novel method using scoring matrix and wavelet windowing, for the integrative gene prediction. The proposed methods not only integrate multiple genomic data but can be used to predict gene location, gene mutation and genetic disorder from the multi-block genomic data. The performance was assessed by simulation.
Carcass, Organ and Organoleptic Characteristics of Spent Layers Fed Bambara Nut Sievates

The carcass, organ and organoleptic characteristics of spent layers fed Bambara nut sievates (BNS) were investigated. Ninety laying hens of the Brown Nera strain in their 9th week of lay were randomly assigned to five dietary treatment in which BNS were incorporated at levels of 0 (control), 5, 10, 15 and 20 percent. There were eighteen birds per treatment and each treatment was replicated thrice in a Completely Randomized Design. The feeding trial lasted for 45 weeks during which each bird received 120g of feed/day. Results showed that final body weight, dressing percentage and residual weight were significantly affected by treatments (P<0.05). There was an observed increase in these parameters up to the 10 percent levels after which the values declined. Birds on the 10 percent BNS diets were superior in these parameters. Gizzard and liver weights increased significantly (P<0.05) as levels of BNS increased. Organoleptic investigations revealed that colour, taste and texture of the breasts muscle were significantly (P<0.05) affected by treatments. Birds on the 10 percent BNS diet had significantly higher colour value whereas taste and texture significantly increased as level of BNS in the diets increased. In conclusion, the results of this study reveal that BNS can be incorporated at 10 percent level in diet of laying hens without compromising carcass characteristics at end of lay.
Performance Study of Locality and Its Impact on Peer-to-Peer Systems

This paper presents the measurement study of locality-aware Peer-to-Peer solutions on Internet Autonomous System (AS) topology by reducing AS hop count and increase nearby source nodes in P2P applications. We evaluate the performance of topology-aware BT system called TopBT with BitTorrent (BT) by constructing AS graph and measure the hops between nodes to observe the impact of quality of service in P2P applications.
Socioeconomic Factors Affecting Farmers' Awareness of Clean Development Mechanism Projects: Case of Smallholder Forest Carbon Projects

The objective of the study was to identify the socio-economic and institutional factors which influence the level of awareness of Clean Development Mechanism (CDM) projects and in so doing to highlight the policy implications for the stakeholders when designing clean development mechanism projects among smallholder farmers. Findings shows that 23% of the farmers were correctly aware of the project and the results of the ordered logit model indicate that age, gender, education level, group membership, existence of tree farming and contact with extension services was found to influence awareness level of smallholder forest Carbon projects. To assist the community to adapt to climate change and produce sufficiently on a sustainable basis and achieve the desired food security under climate change challenges, the study recommends policies to increase awareness of such agro-environmental initiatives and that of extension providers should distinguish their clientele anchored on vital demographic characteristics such as age and gender. If the probability of younger farmers to be aware this initiative is higher, extension communications should be directed to such age group, particularly during initial stages project information dissemination.