Miracle-dz/UniFAR-FTUs huggingface dataset:
Gammatone Wavelet features for sound classification in surveillance applications

Sound can deliver highly informative data about the environment, which can be of particular interest for home-teleassistance and surveillance purposes. In the sound event recognition process, the signal parameterisation is a crucial aspect. In this work, we propose Gammatone-Wavelet features (GTW) by merging Wavelet analysis, which is well-suited to represent the characteristics of surveillance-related sounds, and Gammatone functions, which model the human auditory system. An experimental evaluation that consists of classifying a set of surveillance-related sounds employing Support Vector Machines has been conducted at different SNR conditions. When compared to typical Wavelet analysis with Daubechies mother function (DWC), the GTW features show superior classification accuracy both in noiseless conditions and noisy conditions for almost any SNR level. Finally, it is observed that the combination of DWC and GTW yields the highest classification accuracies.
Forecast Quality in the Supply Chain

Building on his two previous publications in Foresight on the measurement of forecastability, Steve shows how forecast quality can be objectively measured using the relative absolute error (RAE) metric and how this metric can be used to reveal the potential for improvements in forecast accuracy. He presents compelling evidence that many companies fail to achieve levels of relative error that are better than a simple ? same as last period? na‹ve forecast, and that around 50% of individual forecasts fail to meet this benchmark. He makes it clear that, while there is a great need for improvement in forecast quality, there is the potential for forecasters to accomplish just such improvement. Copyright International Institute of Forecasters, 2014
Generating Semantics-based Trajectories of Moving Objects Chorochronos: Tmr Research Network Project, No Erbfmrxct960056

The domain of spatiotemporal applications is a treasure trove of new types of data as well as queries. For designing and testing novel data types and access methods that will support these applications, large spatiotemporal datasets are needed. As in many cases it is not possible to obtain real datasets, either they do not exist or they are not accessible, synthetic datasets are governed by artificial parameters rather than by the (sometimes invisible) rules governing real-world behavior. In this work we show how, at least for some cases, one can generate spatiotemporal datasets that simulate real-world behavior. We illustrate example cases and translate them into appropriate calls of GSTD, a spatiotemporal data generator. The generated data is illustrated using two-dimensional snapshot pictures as well as three-dimensional (two spatial plus one temporal dimension) trajectory images.
Increasing Resilience of OpenFlow WANs Using Multipath Communication

Software-Defined Networking (SDN)/OpenFlow is recently recognized as an emerging technology for network virtualization and programmability. In an OpenFlow network, forwarding (data) planes (i.e., OpenFlow switches) are distributed and remotely controlled by a so-called network controller, which centralizes the network's control functions. The centralized control model of SDN has been proven to be applicable in various deployments ranging from datacenter, campus networks to wide area networks (WANs). In the OpenFlow-based networks, the communication channel between the network controller and switches, which is defined in the scope of OpenFlow specification, plays the most important role. In this paper, we argue that in the state-of-the-art specification establishing one path between a switch and controller potentially decreases the resilience of OpenFlow WANs. Therefore, we propose to use multiple paths for each switch-controller communication and discuss applicable multipath technologies.
On Affine Embeddings of Reductive Groups on Affine Embeddings of Reductive Groups Acknowledgments

In this thesis, we study the properties and the classification of embeddings of homogeneous spaces, especially the case of affine normal embeddings of reductive groups. We might guess that as in the case of toric varieties, some specific subset of one-parameter subgroups may contribute to the classification of affine embeddings of general reductive group. To check this, we review the theory of affine normal SL(2)-embeddings, and prove that the classification cannot be solved entirely based on one-parameter subgroups. We can also show that even though this set does not give a complete answer to the classification problem, but still contains useful information about varieties. We will also give examples of GL(2)embeddings which had not previously been constructed in detail, which might be helpful in understanding the general classification of affine normal G-embeddings. Thesis Supervisor: James McKernan Title: Professor
A Brief Review: How Much Rest between Sets?

RELATIVELY FEW STUDIES HAVE BEEN CONDUCTED TO DETERMINE THE EFFECT OF DIFFERENT REST INTERVALS BETWEEN RESISTANCE EXERCISE SETS. A REST INTERVAL IS ESSENTIAL TO RE-ESTABLISH INTRA MUSCULAR BLOOD FLOW AND OXYGEN DELIVERY THAT ALLOWS FOR THE REPLENISHMENT OF PHOSPHOCREATINE STORES, RESTORATION OF INTRAMUSCULAR PH, REMOVAL OF METABOLIC END PRODUCTS, AND RETURN OF MUSCLE MEMBRANE POTENTIAL TO RESTING LEVELS. GENERAL RECOMMENDATIONS FOR REST INTERVAL LENGTH HAVE BEEN BASED PRIMARILY ON THE TRAINING GOAL (E.G., POWER, STRENGTH, HYPERTROPHY, MUSCULAR ENDURANCE). HOWEVER, OTHER FACTORS RELATED TO THE WORKOUT AND INDIVIDUAL CHARACTERISTICS MAY SHORTEN OR LENGTHEN THESE GENERAL RECOMMENDATIONS.
Energy-Efficient ZigBee-Based Wireless Sensor Network for Track Bicycle Performance Monitoring

In a wireless sensor network (WSN), saving power is a vital requirement. In this paper, a simple point-to-point bike WSN was considered. The data of bike parameters, speed and cadence, were monitored and transmitted via a wireless communication based on the ZigBee protocol. Since the bike parameters are monitored and transmitted on every bike wheel rotation, this means the sensor node does not sleep for a long time, causing power consumption to rise. Therefore, a newly proposed algorithm, known as the Redundancy and Converged Data (RCD) algorithm, was implemented for this application to put the sensor node into sleep mode while maintaining the performance measurements. This is achieved by minimizing the data packets transmitted as much as possible and fusing the data of speed and cadence by utilizing the correlation measurements between them to minimize the number of sensor nodes in the network to one node, which results in reduced power consumption, cost, and size, in addition to simpler hardware implementation. Execution of the proposed RCD algorithm shows that this approach can reduce the current consumption to 1.69 mA, and save 95% of the sensor node energy. Also, the comparison results with different wireless standard technologies demonstrate minimal current consumption in the sensor node.
Draft Genome Sequence of Pseudonocardia autotrophica Strain DSM 43083, an Efficient Producer of Peroxidases for Lignin Modification

ABSTRACT Pseudonocardia autotrophica strain DSM 43083 is a filamentous actinobacterium and was described to degrade or modify lignin. Here, we present its draft genome sequence, with a size of 5.8 Mb, to unravel the gene set coding for promising monooxygenases, dioxygenases, and DyP-type peroxidases associated with aromatic metabolism and lignin modification.
A new method for shot classification in soccer sports video based on SVM classifier

Sport video shot classification is a basic step in the sport video processing. For many purposes such as event detection and summarization, shot classification is needed for content filtering. In this paper, we present a new method for soccer video shot classification. At first, in-field and out-of-field frames are separated. In in-field frames three features based on number of connected components and shirt color percent in vertical and horizontal strips are extracted. The features are all new and showed excellent discrimination in the feature space. These features are given to SVM for classifying long, medium and close-up shots. One of the advantages of our method is that, close-ups can be detected in both in-field and out-of-field views. For detecting close-ups in out-of-field shots, the mean of shirt color in horizontal strips is used. Since the features are easy to extract and input frames are downsampled, the method works in real-time. The experimental results demonstrated the effectiveness of proposed method.
Gonadotropin-inhibitory hormone action in the brain and pituitary

Gonadotropin-inhibitory hormone (GnIH) was first identified in the Japanese quail as a hypothalamic neuropeptide inhibitor of gonadotropin secretion. Subsequent studies have shown that GnIH is present in the brains of birds including songbirds, and mammals including humans. The identified avian and mammalian GnIH peptides universally possess an LPXRFamide (X = L or Q) motif at their C-termini. Mammalian GnIH peptides are also designated as RFamide-related peptides from their structures. The receptor for GnIH is the G protein-coupled receptor 147 (GPR147), which is thought to be coupled to Gαi protein. Cell bodies of GnIH neurons are located in the paraventricular nucleus (PVN) in birds and the dorsomedial hypothalamic area (DMH) in mammals. GnIH neurons in the PVN or DMH project to the median eminence to control anterior pituitary function. GPR147 is expressed in the gonadotropes and GnIH suppresses synthesis and release of gonadotropins. It was further shown in immortalized mouse gonadotrope cell line (LβT2 cells) that GnIH inhibits gonadotropin-releasing hormone (GnRH) induced gonadotropin subunit gene transcriptions by inhibiting adenylate cyclase/cAMP/PKA-dependent ERK pathway. GnIH neurons also project to GnRH neurons in the preoptic area, and GnRH neurons express GPR147 in birds and mammals. Accordingly, GnIH may inhibit gonadotropin synthesis and release by decreasing the activity of GnRH neurons as well as directly acting on the gonadotropes. GnIH also inhibits reproductive behavior possibly by acting within the brain. GnIH expression is regulated by a nocturnal hormone melatonin and stress in birds and mammals. Accordingly, GnIH may play a role in translating environmental information to inhibit reproductive physiology and behavior of birds and mammals. Finally, GnIH has therapeutic potential in the treatment of reproductive cycle and hormone-dependent diseases, such as precocious puberty, endometriosis, uterine fibroids, and prostatic and breast cancers.
Materials become insensitive to flaws at nanoscale: Lessons from nature

Natural materials such as bone, tooth, and nacre are nanocomposites of proteins and minerals with superior strength. Why is the nanometer scale so important to such materials? Can we learn from this to produce superior nanomaterials in the laboratory? These questions motivate the present study where we show that the nanocomposites in nature exhibit a generic mechanical structure in which the nanometer size of mineral particles is selected to ensure optimum strength and maximum tolerance of flaws (robustness). We further show that the widely used engineering concept of stress concentration at flaws is no longer valid for nanomaterial design.
Object graph rewriting: an experimental parallel implementation

Object Graph Rewriting (OGRe) is a computational model which combines ideaa from graph rewriting and process calculi. OGRe has been designed for implementing multiparad@n languages such as Facile, which combines functional and concurrent programming. Simple objects, which have states represented by treestructured terms, respond to messages, also represented = terms. New objects may be created and new messages sent, while the original object either remains unaf%cted or changes state. The model is inherently concurrent, but finegrained, so distributed implementation is not necessarily beneficial. We introduce OGRe with some simple examples and explain how primitives are added which can trigger concurrent execution when appropriate.
The Efficient Norm for Corporate Law: A Neotraditional Interpretation of Fiduciary Duty

This paper argues that a hypothetical contract analysis of fiduciary duty requires a corporate law norm that the total value of financial claims against the firm be maximized. This conclusion follows from using rational investors complying with the CAPM mandate as the parties making the hypothetical contract under which resources are committed to the firm. The analysis shows some inadequacies in the "shareholder value maximization" norm that is assumed in most corporate law literature. The norm of maximizing firm value fits best with an abstract conception of fiduciary duty in which the duty is owed to the corporation, rather than to shareholders or any other particular class of security holders. Adopting this conception dissolves many of the fiduciary duty puzzles posed by derivative securities, such as those stressed by Hu.
Banking Crises, Implicit Government Guarantees, and Optional Insurance

After major banking crisis, investors and academics alike are left wondering how it could have been avoided. Crises can take an enormous toll on society. Mexico's 1994 crisis cost almost 10% of GDP. Chile's 1983 crisis was even worse, with the ¯nal cost amounting to a stunning 30% of GDP. Moreover, the economy can experience a traumatic recovery process that in some cases lasts several years. The most common explanation of banking crises focuses on the anticipation of government bail out. This mechanism takes place when investors expect that the government will help them cover their losses in case they face a generalized adverse shock. The paper shows how an insurance scheme eliminates the externality generated by the above government bail out policy. As an example, the paper analyzes the case of liquidity risk, de¯ned as an unexpected cash withdrawal, and it presents a scheme to deal with this risk. This scheme works as an insurance where each bank pays a premium depending on the bank's risk. The scheme used in Argentina where the Central Bank charges to each bank a premium to insurance their liquidity risk, for an insurance which the Central Bank acquires in the international markets is an empirical example. In addition, a new procedure is developed to estimate the social cost of a bank crisis which is di®erent from the net transfer from the government to the banking sector and independent of the existence of the crisis.
Multiple ejections during the 1975 outburst of A0620-00

The well-known black hole X-ray transient A0620-00 was a bright radio source during the first part of its outburst in 1975. We have revisited the available data and find for the first time evidence that the source exhibited multiple jet ejections. Rapid radio spectral changes indicate the addition of at least three new components, which are initially optically thick. From single-baseline interferometry taken about three weeks after the start of the X-ray outburst, we find that the source is extended on arcsec scales and infer a relativistic expansion velocity. Some of the other (soft) X-ray transients, such as GS 1124-68 and GS 2000+25, show very similar X-ray outburst light curve shapes to that of A0620-00, while their radio outburst light curve shapes are different. We suggest that this is caused by the radio emission being strongly beamed in outburst, whereas the X-ray emission remains isotropic. As this effect is stronger at higher jet velocities, this strengthens our conclusion that the jets in A0620-00 and other soft X-ray transients move with relativistic speeds.
Information Society, Work and the Generation of new Forms of social Exclusion (SOWING)

The technology policy perspective referred to in the first area is now mainly determined by developments toward a global "information society", as indicated at EU level by the "Bangemann Report" of 1994 and the wide variety of corresponding activities (cf. www.ispo.cec.be). project is scheduled to be completed in three years. Its aim is to describe the info-matisation of firms in the manufacturing and service industries in selected regions of these countries from a comparable perspective with respect to prevailing technological practices. Benefits of the project are expected with respect to scientific, technological and political goals. From the scientific point of view it represents an approach to investigating the information society which unites previously largely independent approaches, mainly of technological, economic or sociological origin. Of particular technological interest is the collection of experience and data on technological application concepts in an international comparison. The political dimension fulfils major expectations of the EU regarding the TSER programme. Thus, research findings are expected which could, for example, be fundamental for region specific decisions and support measures to enhance the global competitiveness of firms in the Member states, but also meeting the needs of job creation and integration policy. In the project, a research approach was selected, focusing closely on the information society, at the same time still directed towards the overarching economic and social concerns of TSER. The approach consists of the deliberate abandonment of the otherwise widely held opinion that societal change in the direction of an information society is determined solely by the new information and communication technologies. The correction of this conception is suggested by sociological research on technology during the past two or three decades. All precise analyses prove that technological development by no means follows an immanent logic of technology, but is involved in a complex mutual relationship with societal developments. By this inevitable change of perspective, the project gains a conceptual link between "technology" and "society". The societal dimension of the discussion on an information society refers primarily to the change in economic structures. Correspondingly, the project concentrates on issues of organisation renovation of manufacturing and service companies and on development of the world of work in relation with the diffusion of the new technologies. This diffusion and the broad variety of application forms of information and communication technologies are classified by the bracket term "informatisation". The conceptual instrument for the empirical observation of corresponding changes inside …
Vulnerability of displacement: challenges for integrating refugees and asylum seekers in host communities

This paper focuses on the issues refugees and asylum seekers face in their daily lives in Australia. We present findings from a field study that included a mix of fourteen participants involving refugees, asylum seekers, activists and community workers, who participated in a cultural probes inspired and semi-structured interview studies. The probes approach was adopted to involve refugees and asylum seekers in a set of engaging and creative activities in order to elicit their experiences related to displacement, cultural preferences and beliefs. Our findings reveal three main challenges refugees and asylum seekers in Australia face: mistrust, cultural barriers and displacement trauma. In the paper, we discuss examples from the field and provide implications for designing technologies that can support and empower refugees and asylum seekers.
On the Facilitation of Students’ Metacognition by Applying the Length Writing Approach in Graduate English Teaching

English course plays a significant part in graduate education. It is advocated in this paper that applying the Approach of Length Writing to graduate English teaching is not only effective in improving the teaching efficiency but also helpful in developing students’ metacognition. By reviewing and summarizing the findings of recent studies and teaching experiments in ESL, some teaching strategies have been put forward in this paper about how to adopt Length Writing Approach in graduate English course to develop students’ metacognitive strategies, reducing their learning anxiety and increasing their comprehensive ability in English using simultaneously. It is claimed by the author in this paper that such a teaching approach will produce prolonged positive effects in graduate students’ English learning and therefore deserves more attention, discussion as well as application.
Chapter 58: Analysis of Log File Data to Understand Behavior and Learning in an Online Community

How do we study the behavior of users in online communities? Researchers from a variety of disciplines have evolved a rich set of both quantitative and qualitative approaches to studying human‐computer interaction (HCI) and computer-mediated communication (CMC), and these methods are useful in the study of online communities. Unique to the study of CMC and online communities is the possibility of collecting log file data . I ti spossible for the computer to record every command typed by users—in some cases, every keystroke. In cases where users interact only online, we can collect a comprehensive record of all of their interactions. The completeness of the record and ease of collecting it are unprecedented. However, log file data is more often collected than analyzed. We can save everything, but what does it mean? This chapter presents two examples of the use of log file data to understand user behavior and learning in one online environment, MOOSE Crossing. MOOSE Crossing is a text-based virtual reality environment (or “MUD”) in which kids aged eight and older learn objectoriented programming and practice their creative writing. From analysis of log file data from the environment, we gained significant new insights into user behavior and learning. We will briefly discuss an example of qualitative log file analysis, in which a close reading of records of online interaction provides insights into how children learn from one another in this environment (Bruckman, 2000). The rest of the chapter contains an extended example of the use of quantitative log file analysis to try to understand whether there is any relationship between gender and programming achievement on this site. (An earlier version of this analysis was published in Proceedings of CSCL 2002 (Bruckman et al., 2002). ) Quantitative and qualitative methods are generally more powerful when used in a complementary fashion. In the data to follow, our qualitative findings suggested that girls are especially strong achievers in this learning environment. However, quantitative analysis of log file data shows that boys and girls use the environment in similar ways. A small group of girls form the core of “the regulars”, the most active, dedicated members who are highly visible to both researchers and other members. The regulars have extraordinary levels