Miracle-dz/UniFAR-FTUs huggingface dataset:
A Cognitive Platform for Mobile Cloud Gaming

Mobile cloud gaming provides a whole new service model for the video game industry to overcome the intrinsic restrictions of mobile devices and piracy issues. However, the diversity of end-user devices and frequent changes in network quality of service and cloud responses result in unstable Quality of Experience (QoE) for game players. A cognitive cloud gaming platform, which could overcome the above problem by learning about the game player's environment and adapting the cloud gaming service accordingly, does not currently exist. To fill this void, we design and implement a component-based gaming platform that supports click-and-play, intelligent resource allocation and partial offline execution, to provide cognitive capabilities across the cloud gaming system. Extensive experiments have been performed to show that intelligent partitioning leads to better system performance, such as overall latency.
Monte Carlo based Threat Assessment: Analysis and Improvements

This paper presents improvements and extensions of a previously presented threat assessment algorithm. The algorithm uses Monte Carlo simulation to find threats in a road scene. It is shown that by using a wider sample distribution and only apply the most likely samples from the Monte Carlo simulation for the threat assessment, improved results are obtained. By using this method more realistic paths was chosen by the simulated vehicles and more complex traffic situations will be adequately handled. An improvement of the dynamic model is also suggested, which improves the realism of the Monte Carlo simulations. Using the new dynamic model less false positive and more valid threats are detected.
Novel MAC Layer Handoff Schemes for IEEE 802.11 Wireless LANs

Handoff in the IEEE 802.11 wireless LANs (WLANs) occurs whenever the mobile station (STA) changes its association from one access point (AP) to another owing to poor link quality. In a WLAN, small coverage areas of APs create frequent handoffs. Previous studies have shown that the typical handoff latency is high enough to hamper the service quality of multimedia streams like VoIP (voice over IP). In this paper, a novel scheme to reduce the handoff latency is proposed by using inter-AP communication to receive the probe response(s). Another adaptive scheme to enhance the quality of service (QoS) for multimedia streams during handoff is presented which builds upon the first scheme and adaptively distributes the total handoff latency. Through extensive simulations, we prove that our adaptive scheme decreases handoff latency significantly and achieves both fast and smooth hand-off that multimedia applications entail.
Body mass index and social interactions from adolescence to adulthood

ABSTRACT A dynamic linear-in-means model is applied in order to analyse the importance of social ties for the body weight-related behaviour of US youth. The methodology shows how to estimate peer effects free of the ‘reflection problem’ in a dynamic context where individual and group-specific unobservable effects are controlled for. The results show that the main drivers for the body weight-related behaviour are past and peer effects. For individuals who were normal weight or obese during adolescence, past and peer effects are shown to be both relevant. Peer effects, instead, explain more the variation in the body mass index (BMI) for individuals who were overweight during adolescence, showing in this way the importance of social interactions for body weight-related behaviour.
Mining the Web for IP Address Geolocations Chen Chen Chuanxiong

In this paper, we observe that many Web pages contain geolocation information (address, zipcode, and telephone area code) and many of these geolocation items are directly related to the locations of the IP addresses that host the Web pages. We then design Structon, a system that mines Web pages for IP address geolocations. In Structon, we first extract geolocation information from every crawled Web pages, we then devise a serial of information clustering, false-information filtering, error-correction, and location inferring algorithms to map IP addresses to geolocations. We have run our algorithms on top of a set of 74M Chinese Web pages, from which we are able to identify the geolocations for 8.2M IP addresses, which contain addresses for not only Web servers but also client hosts. We have verified our result with an IP address location table of a major Chinese ISP, the verification shows that the accuracy of Structon is 94.4% at province level.
Natural Perspective Projections for Head-Mounted Displays

The display units integrated in today's head-mounted displays (HMDs) provide only a limited field of view (FOV) to the virtual world. In order to present an undistorted view to the virtual environment (VE), the perspective projection used to render the VE has to be adjusted to the limitations caused by the HMD characteristics. In particular, the geometric field of view (GFOV), which defines the virtual aperture angle used for rendering of the 3D scene, is set up according to the display field of view (DFOV). A discrepancy between these two fields of view distorts the geometry of the VE in a way that either minifies or magnifies the imagery displayed to the user. It has been shown that this distortion has the potential to affect a user's perception of the virtual space, sense of presence, and performance on visual search tasks. In this paper, we analyze the user's perception of a VE displayed in a HMD, which is rendered with different GFOVs. We introduce a psychophysical calibration method to determine the HMD's actual field of view, which may vary from the nominal values specified by the manufacturer. Furthermore, we conducted two experiments to identify perspective projections for HMDs, which are identified as natural by subjects-even if these perspectives deviate from the perspectives that are inherently defined by the DFOV. In the first experiment, subjects had to adjust the GFOV for a rendered virtual laboratory such that their perception of the virtual replica matched the perception of the real laboratory, which they saw before the virtual one. In the second experiment, we displayed the same virtual laboratory, but restricted the viewing condition in the real world to simulate the limited viewing condition in a HMD environment. We found that subjects evaluate a GFOV as natural when it is larger than the actual DFOV of the HMD-in some cases up to 50 percent-even when subjects viewed the real space with a limited field of view.
Mining frequent closed patterns in microarray data

Microarray data typically contains a large number of columns and a small number of rows, which poses a great challenge for existing frequent (closed) pattern mining algorithms that discover patterns in item enumeration space. In this paper, we propose two algorithms that explore the row enumeration space to mine frequent closed patterns. Several experiments on real-life gene expression data show that the algorithms are faster than existing algorithms, including CLOSET, CHARM, CLOSET+ and CARPENTER.
A detection framework for locating phonetic events

We consider the problem of detecting stop consonantsin continu-ously spoken speech. We pose the problem as one of ﬁnding the optimal ﬁlter (linear or non-linear) that operates on a particular appropriately chosen representation. We discuss the performance of several variants of a canonical stop detector and consider its implications for human and machine speech recognition. this we present acoustic characteristics. on useful for segmentation.
Analysis of a method for identification of obstacles

Some difficulties are pointed out in the methods for identification of obstacles based on the numerical verification of the inclusion of a function in the range of an operator. Numerical examples are given to illustrate theoretical conclusions. Alternative methods of identification of obstacles are mentioned: the Support Function Method (SFM) and the Modified Rayleigh Conjecture (MRC) method.
Wyner's Common Information: Generalizations and A New Lossy Source Coding Interpretation

Wyner's common information was originally defined for a pair of dependent discrete random variables. Its significance is largely reflected in, hence also confined to, several existing interpretations in various source coding problems. This paper attempts to both generalize its definition and to expand its practical significance by providing a new operational interpretation. The generalization is two-folded: the number of dependent variables can be arbitrary, so are the alphabet of those random variables. New properties are determined for the generalized Wyner's common information of N dependent variables. More importantly, a lossy source coding interpretation of Wyner's common information is developed using the Gray-Wyner network. In particular, it is established that the common information equals to the smallest common message rate when the total rate is arbitrarily close to the rate distortion function with joint decoding. A surprising observation is that such equality holds independent of the values of distortion constraints as long as the distortions are within some distortion region. Examples about the computation of common information are given, including that of a pair of dependent Gaussian random variables.
Entrepreneurship: Perspectives and Cases

Introduction: context, issues, and case study selection -- Contributions of entrepreneurial firms -- Theoretical insights i : economic approaches -- Theoretical insights ii: sociological and psychological approaches -- "Types" of entrepreneurs i: habitual entrepreneurs -- "Types" of entrepreneurs ii: high technology and academic entrepreneurs -- "Types" of organisations i: family firms -- "Types" of organisations ii: corporate entrepreneurship -- "Types" of organisations iii: management buyouts -- Types of organisations iv: social entrepreneurship -- External environmental context : drivers and barriers -- Entrepreneurial finance -- International entrepreneurship -- Outcomes : enterprise barriers, growth and performance.
Memorized-Delay Reaching Task With Direction and Amplitude During a Covariation of Primate Dorsal Premotor Cell Activity

[PDF] [Full Text] [Abstract] , April , 2010; 103 (4): 2124-2138. J Neurophysiol Joo-Hyun Song and Robert M. McPeek Selection and Movement Production Roles of Narrowand Broad-Spiking Dorsal Premotor Area Neurons in Reach Target [PDF] [Full Text] [Abstract] , May 18, 2010; 10 (5): . J Vis Fabrice R. Sarlegna and Jean Blouin by amplitude control Visual guidance of arm reaching: Online adjustments of movement direction are impaired [PDF] [Full Text] [Abstract] , August , 2010; 104 (2): 799-810. J Neurophysiol Stephen I. Ryu and Krishna V. Shenoy Matthew T. Kaufman, Mark M. Churchland, Gopal Santhanam, Byron M. Yu, Afsheen Afshar, Roles of Monkey Premotor Neuron Classes in Movement Preparation and Execution [PDF] [Full Text] [Abstract] , January , 2011; 105 (1): 454-473. J Neurophysiol Scheidt Xiaolin Liu, Kristine M. Mosier, Ferdinando A. Mussa-Ivaldi, Maura Casadio and Robert A. Scaling of a Newly Learned Sensorimotor Transformation Reorganization of Finger Coordination Patterns During Adaptation to Rotation and [PDF] [Full Text] [Abstract] , January , 2011; 105 (1): 45-59. J Neurophysiol Wilsaan M. Joiner, Obafunso Ajayi, Gary C. Sing and Maurice A. Smith Anisotropic, Gain-Encoding Primitives for Motor Adaptation Linear Hypergeneralization of Learned Dynamics Across Movement Speeds Reveals
Structural Effect of the Asp345a Insertion in Penicillin-Binding Protein 2 from Penicillin-Resistant Strains of Neisseria gonorrhoeae

A hallmark of penicillin-binding protein 2 (PBP2) from penicillin-resistant strains of Neisseria gonorrhoeae is insertion of an aspartate after position 345. The insertion resides on a loop near the active site and is immediately adjacent to an existing aspartate (Asp346) that forms a functionally important hydrogen bond with Ser363 of the SxN conserved motif. Insertion of other amino acids, including Glu and Asn, can also lower the rate of acylation by penicillin, but these insertions abolish transpeptidase function. Although the kinetic consequences of the Asp insertion are well-established, how it impacts the structure of PBP2 is unknown. Here, we report the 2.2 Å resolution crystal structure of a truncated construct of PBP2 containing all five mutations present in PBP2 from the penicillin-resistant strain 6140, including the Asp insertion. Commensurate with the strict specificity for the Asp insertion over similar amino acids, the insertion does not cause disordering of the structure, but rather induces localized flexibility in the β2c−β2d loop. The crystal structure resolves the ambiguity of whether the insertion is Asp345a or Asp346a (due to the adjacent Asp) because the hydrogen bond between Asp346 and Ser362 is preserved and the insertion is therefore Asp346a. The side chain of Asp346a projects directly toward the β-lactam-binding site near Asn364 of the SxN motif. The Asp insertion may lower the rate of acylation by sterically impeding binding of the antibiotic or by hindering breakage of the β-lactam ring during acylation because of the negative charge of its side chain.
Developing lexicon databases for English to Sinhala machine translation

Machine translation has been identified as one of the most challenging areas in natural language processing. In such systems, lexicon databases are fundamental to handle all translation requirements including lexicon, syntax and semantics information. This paper reports on the design and development of a lexicon database sub-system for English to Sinhala machine translation system. This system has customized the famous WordNet for English lexicon database, and structured three Sinhala dictionaries as per Japanese EDR system. SWI-Prolog has been used for the development of the core of the translation system.
Design and Implementation of Pipeline Monitoring System Using Acceleration-Based Wireless Sensor Network

------------------------------------------------------ABSTRACT---------------------------------------------------A Micro-Electro-Mechanical Systems (MEMS) based wireless sensor network (WSN) is developed for nondestructive monitoring of pipeline systems. It incorporates MEMS accelerometers for measuring flowinduced vibration on the surface of a pipe to determine the change in water pressure caused by rupture and the damage location. This work presents an experimental investigation of the relationship between flow-induced vibration and the pressure fluctuations. Measurements of vibration were performed in pipe sections of a waterfilled loop subjected to a wide range of flow rates. Experimental observations show that a sharp change in pressure is always accompanied by a sharp change of pipe surface acceleration at the corresponding locations along the pipe length. Statistical analysis of the measurement showed that there is a non-linear but proportional relationship between the water flow rate and flow induced vibration. Therefore, water pressure-monitoring can be transformed into acceleration-monitoring of the pipe surface. The latter is a significantly more economical alternative due to the use of less expensive sensors such as MEMS or other acceleration sensors.
Metric Aware Flow Assignment with ARS in Wireless Mesh Networks

Now a days, wireless mesh networks carry traffic with heterogeneous transmission rates. Reliability of packet and consistency of route for traffic is big challenging problem. Still it is suffering within unfairness with increasing number of hops and intra-flow behaviors with high transmission rates. Results in more collision, and decreasing throughput and increase end-to-end delay due to lacking of optimization with flow assignment and routing. In this paper presents method Metric Aware Flow Assignment (MAFA) which performs selection of best path with sensing their link's packet delivery ratio and automatic rate selection using rate adaption. This decision is based on statistics provided by routing metric. The purpose of coordinating decision for increasing reliability of packets with different transmission rates and choose optimum route according to flow with different packet size. MFAR helps to avoid reconfigurations frequently, so that it would help to save energy and improvement of admitted flow much higher. Simulation results show that up gradation of performance with parameters such as end-to-end delay, channel efficiency, and available capacity in wireless mesh network.
The Role of Overweight and Obesity in In Vitro Fertilization Outcomes of Poor Ovarian Responders

Objective. Obesity is a worldwide concern with detrimental health effects including decreased fecundity. However, obesity's impact on in vitro fertilization (IVF) is inconclusive and there is little data concerning poor ovarian responders (POR). This study explored the effects of overweight and obesity on IVF outcomes of POR. Design. We retrospectively evaluated 188 POR undergoing IVF cycles. Methods. Patients were categorized into three groups. Group 1 was normal weight POR (18.5–24.9 kg/m2, n = 96); Group 2 was overweight POR (25.0–29.9 kg/m2, n = 52); and Group 3 was obese POR (≥30.0 kg/m2, n = 40). Main measured outcomes included IVF outcomes. Results. The oocyte maturity, total gonadotropin dose-duration, and cycle cancellation rates were similar. Obese women had significantly decreased LH levels. LH < 4 mIU/mL had a sensitivity (62%) and a specificity (86%) for IVF failure (AUC: 0.71). Fertilization rates of obese subjects were significantly lower than normal and overweight subjects (p = 0.04). Obese women's clinical pregnancy rates were significantly lower (15%) than normal weight women (33.3%, p = 0.01). Conclusions. Despite similar counts of recruited mature oocytes, obese POR women had decreased fertilization and clinical pregnancy rates. Obesity rather than overweight significantly decreased IVF outcomes in POR.
Choice-based learning: lecture-based or team learning?

ABSTRACT This study investigates choice-based learning as a choice between lecture-based or team learning in a large class at a large university in a European country. The study was designed as a between-subjects quasi-experiment where students were allocated their preferred learning approach. Data were collected for eight consecutive years (2008–2016). Based on quantitative and qualitative data, this study investigates the effect of choice-based learning on choice satisfaction, student selection and on student learning outcomes. The results show that team learning has a positive effect on learning outcomes. If students are faced with the choice, the majority select lecture-based learning. Additionally, both student groups are satisfied with their selected learning paths but selected them for specific reasons. Finally, choice-based learning provides job satisfaction for the instructors of both learning paths. These results can re-energize the ongoing discussion on why and how to engage students in learning activities.
CYCLIC GROUP ACTIONS ON Spin BUNDLES

Let L be a complex line bundle over a closed, oriented Riemannian 4-manifold X with c1(L) = ω2(TX) mod 2. Let Zp be a cyclic group of order p(p is prime) that acts on X as orientation preserving isometry with an oriented, connected, compact 2-dimensional submanifold Σ as a fixed point set and on L such that the projection L → X is a Zp-map. In this paper, we investigate the action of Zp on the Seiberg-Witten equations, and obtain a relation of the dimension of the moduli space of the quotient bundle and its pull-back bundle. Also, we discuss the SeibergWitten invariant of the quotient bundle when X is a Kähler manifold. AMS Mathematics Subject Classification (2000): 57S17, 57R57, 57S25
Vibrational branching ratios and hyperfine structure of 11BH and its suitability for laser cooling

The simple structure of the BH molecule makes it an excellent candidate for direct laser cooling. We measure the branching ratios for the decay of the A^{1}Pi (v'=0) state to vibrational levels of the ground state, X^{1}Sigma^{+}, and find that they are exceedingly favourable for laser cooling. We verify that the branching ratio for the spin-forbidden transition to the intermediate a^{3}Pi state is inconsequentially small. We measure the frequency of the lowest rotational transition of the X state, and the hyperfine structure in the relevant levels of both the X and A states, and determine the nuclear electric quadrupole and magnetic dipole coupling constants. Our results show that, with a relatively simple laser cooling scheme, a Zeeman slower and magneto-optical trap can be used to cool, slow and trap BH molecules.
Estimation system for total hip arthroplasty by acoustic signal

This paper describes an analysis method of most suitable rasp for the patients by using the ultrasonic system. In it, we employ the single ultrasonic probe. At first, we make a knock to the upper point of the rasp inserted with a hammer which has the trigger signals. By using the knocking signals, we measured the acoustic signals. An ultrasonic probe for measuring is fixed in the upper side of the rasp with a built-in magnet. The acoustic data is changed to the digital data by the AD converter and is sent to the personal computer. In the clinical treatment, one of the indexes to judge how degree the rasp is fixed for the patient is the knocked sound by a hammer when inserting the rasp. In the surgery, the surgeon tries to adapt for the patient from the small size rasp to the larger size rasp in turn. Therefore, we suggest our measurement system which selects the best fixed rasp by using acoustic signal for surgeons and patients of total hip arthroplasty.
DNA looping provides stability and robustness to the bacteriophage λ switch

The bistable gene regulatory switch controlling the transition from lysogeny to lysis in bacteriophage λ presents a unique challenge to quantitative modeling. Despite extensive characterization of this regulatory network, the origin of the extreme stability of the lysogenic state remains unclear. We have constructed a stochastic model for this switch. Using Forward Flux Sampling simulations, we show that this model predicts an extremely low rate of spontaneous prophage induction in a recA mutant, in agreement with experimental observations. In our model, the DNA loop formed by octamerization of CI bound to the OL and OR operator regions is crucial for stability, allowing the lysogenic state to remain stable even when a large fraction of the total CI is depleted by nonspecific binding to genomic DNA. DNA looping also ensures that the switch is robust to mutations in the order of the OR binding sites. Our results suggest that DNA looping can provide a mechanism to maintain a stable lysogenic state in the face of a range of challenges including noisy gene expression, nonspecific DNA binding, and operator site mutations.
Structuring Element Representation of an Image and Its Applications

In this paper we present the linear combination of a fuzzy opening and closing filter with locally adaptive structuring elements that can preserve the geometrical features of an image. Based on the adaptation algorithm of linear combination of the fuzzy opening and closing filter, the optimal structuring element for image representation is obtained. The optimal structuring element is an indicator of the shape and direction of an object's image, which is useful in filtering, multi resolution, segmentation, and recognition of an image.