Miracle-dz/UniFAR-FTUs huggingface dataset:
A Proof-of-Concept for Semantically Interoperable Federation of IoT Experimentation Facilities

The Internet-of-Things (IoT) is unanimously identified as one of the main pillars of future smart scenarios. The potential of IoT technologies and deployments has been already demonstrated in a number of different application areas, including transport, energy, safety and healthcare. However, despite the growing number of IoT deployments, the majority of IoT applications tend to be self-contained, thereby forming application silos. A lightweight data centric integration and combination of these silos presents several challenges that still need to be addressed. Indeed, the ability to combine and synthesize data streams and services from diverse IoT platforms and testbeds, holds the promise to increase the potentiality of smart applications in terms of size, scope and targeted business context. In this article, a proof-of-concept implementation that federates two different IoT experimentation facilities by means of semantic-based technologies will be described. The specification and design of the implemented system and information models will be described together with the practical details of the developments carried out and its integration with the existing IoT platforms supporting the aforementioned testbeds. Overall, the system described in this paper demonstrates that it is possible to open new horizons in the development of IoT applications and experiments at a global scale, that transcend the (silo) boundaries of individual deployments, based on the semantic interconnection and interoperability of diverse IoT platforms and testbeds.
History of Street Gangs in the United States

The first active gangs in Western civilization were reported by Pike (1873, pp. 276–277), a widely respected chronicler of British crime. He documented the existence of gangs of highway robbers in England during the 17th century, and he speculates that similar gangs might well have existed in our mother country much earlier, perhaps as early as the 14th or even the 12th century. But it does not appear that these gangs had the features of modern-day, serious street gangs.1 More structured gangs did not appear until the early 1600s, when London was “terrorized by a series of organized gangs calling themselves the Mims, Hectors, Bugles, Dead Boys . who found amusement in breaking windows, [and] demolishing taverns, [and they] also fought pitched battles among themselves dressed with colored ribbons to distinguish the different factions” (Pearson, 1983, p. 188).
Prosthodontic complications with implant overdentures: a systematic literature review.

PURPOSE Problems associated with a complete denture, such as lack of stability and retention, can be solved with the use of implant-retained or implant-supported overdentures. However, controversy exists as to the anchorage system used and indications for both the maxilla and mandible. The purpose of this review was to identify the prosthetic complications associated with the different attachment mechanisms used for implant-supported or implant-retained overdentures. MATERIALS AND METHODS A search of the MEDLINE and PubMed databases was conducted to find articles in English and German peer-reviewed journals published between 1980 and 2008. The search focused on randomized controlled clinical trials and prospective studies with follow-up periods of at least 5 years that contained clinical data regarding success, failure, and prosthetic complications. RESULTS The search yielded a limited number of randomized controlled clinical trials referring to implant-supported or implant-retained overdentures. Very few studies have prospectively compared prosthetic complications for a period longer than 5 years after delivery of the prosthesis. CONCLUSIONS Implant-supported or implant-retained overdentures in the mandible provide predictable results with improved stability, retention, and patient satisfaction. Scientific evidence shows a lower rate of implant survival and a higher frequency of prosthetic complications for maxillary implant-retained or implant-supported overdentures. Although the literature presents considerable information on complications of implant prostheses, variations in study design preclude proper analysis of certain complications. Well-designed longitudinal studies are required to establish evidence-based treatment planning principles.
Infectivity-associated PrPSc and disease duration-associated PrPSc of mouse BSE prions

ABSTRACT Disease-related prion protein (PrPSc), which is a structural isoform of the host-encoded cellular prion protein, is thought to be a causative agent of transmissible spongiform encephalopathies. However, the specific role of PrPSc in prion pathogenesis and its relationship to infectivity remain controversial. A time-course study of prion-affected mice was conducted, which showed that the prion infectivity was not simply proportional to the amount of PrPSc in the brain. Centrifugation (20,000 ×g) of the brain homogenate showed that most of the PrPSc was precipitated into the pellet, and the supernatant contained only a slight amount of PrPSc. Interestingly, mice inoculated with the obtained supernatant showed incubation periods that were approximately 15 d longer than those of mice inoculated with the crude homogenate even though both inocula contained almost the same infectivity. Our results suggest that a small population of fine PrPSc may be responsible for prion infectivity and that large, aggregated PrPSc may contribute to determining prion disease duration.
2016 Fifth International Conference on Recent Trends in Information Technology Two Stage Spectrum Sensing for Cognitive Radio Networks Using Ed and Aic under Noise Uncertainty

—Spectrum Sensing is elementary function in Cognitive Radio Networks (CRN) to identify the white spaces in spectrum for opportunistic communication. In this paper, we proposed a novel two stage spectrum sensing under the environment as noise uncertainty. The robustness of uncertainty of noise power is one of the main challenges in spectrum sensing method. Since detection of primary users (PU) in the presence of noise power uncertainty, performance of spectrum sensing method consequently decreases. The proposed detection technique combine two well-known different detection method are Energy Detection (ED) and Akaike's information criteria (AIC) to perform spectrum sensing. At first stage, ED technique is use to find power average of received signal and second stage is AIC detection technique based on the information theoretic criteria (ITC). Study of spectrum sensing method, the ED technique performance is better, reliable and taking short time at high signal to noise ratio (SNR) and worst in low SNR, whereas AIC based method perform better at low SNR, but implementation complexity is high. Under the uncertain noise combination of these two techniques give more reliable detection. Designee two stage threshold parameter, for maximize the probability of detection and mean detection time is improve for the given limitation on the probability of false alarm
Minimizing Movement for Target Coverage in Mobile Sensor Networks

Target coverage is an important problem in wireless sensor networks (WSNs), whose goal is to cover points of interest to collect data for further processing. With the emergence of mobile sensors, many researchers have exploited the mobility of sensors to improve coverage quality. However, little attention has been paid to minimize the sensor's movement, which consumes the majority of a sensor's limited energy. Since sensors have limited energy supply and their operation continues until their energy drains, movement of mobile sensors should be minimized to extend the lifetime of sensors. In this paper, we first formulate the problem of minimizing sensor's movement to achieve target coverage (MMTC), and prove it is at least NP-complete. Then for a special case of MMTC when targets are spacing greater than twice of the coverage radius, we transform MMTC into a typical assignment problem, and get the optimal solution by an extended Hungarian method. For general cases of MMTC, we further propose a target based Voronoi greedy algorithm (TV-Greedy) to find approximate optimal solutions. Analysis results show that TV-Greedy has a low complexity, can enhance the robustness of WSNs to sensor failure. Extensive simulations are conducted to evaluate our solutions, which exhibit good performance in large scale WSNs.
Control of a hyper-redundant robot

This paper deals with the subject of visual control of a hyper-redundant robot. This type of arm changes its configuration by bending a continuous backbone formed of sections connected in a serial configuration. Such tentacle arm has a variable length and theoretically it can achieve any position and orientation in the 3D space. A tentacle arm prototype was designed and the practical realization is now running. The mathematical modeling of such a robot takes under consideration both the kinematics and dynamics approach. A development environment for visual servoing application was designed and implemented. This environment includes both tools for simulating visual servoing algorithms (a graphic simulator), as well as tools for controlling hyper-redundant robots using a closed loop video control system. The visual servoing system does not answer in real time. The delay introduced by the image processing task is taken into consideration and simulations are performed trying to find a solution for this problem.
Measuring Design-Level Cohesion

Cohesion was first introduced as a software attribute that, when measured, could be used to predict properties of implementations that would be created from a given design. Unfortunately, cohesion, as originally defined, could not be objectively assessed, while more recently developed objective cohesion measures depend on code-level information. We show that association-based and slice-based approaches can be used to measure cohesion using only design-level information. An analytical and empirical analysis shows that the design-level measures correspond closely with code-level cohesion measures. They can be used as predictors of or surrogates for the code-level measures. The design-level cohesion measures are formally defined, have been implemented, and can support software design, maintenance and restructuring.
Segmental median nerve conduction measurements discriminate carpal tunnel syndrome from diabetic polyneuropathy

Median nerve conduction has been compared in CTS, with or without diabetes, and diabetic polyneuropathy. Approximately 90% of hands were correctly predicted as CTS or diabetic polyneuropathy by a comparison including the median antidromic sensory nerve conduction velocities in the elbow‐to‐wrist segment, wrist‐to‐palm segment, palm‐to‐finger segment, and the amplitude of the sensory nerve action potential. CTS with diabetes could not be distinguished from CTS without diabetes. The association between proximal and distal nerve conduction velocities was similar in CTS and diabetic polyneuropathy. A study in motor fibers showed that the hands could be classified through a combination of M‐wave latency and the more proximal motor nerve conduction velocity measurements. Independent of severity, motor and sensory nerve conduction was influenced to an equal degree in CTS and diabetic polyneuropathy. The hypothesis that both CTS and diabetic polyneuropathy can be associated with neural ischemia is discussed. © 1995 John Wiley & Sons, Inc.
NEMASTOMATIDAE NIPPONOPSALIDIDAE TROGULIDAE DICRANOLASMATIDAE TRIAENONYCHIDAE SYNTHETONYCHIIDAE CLADONYCHIIDAE TRAVUNIIDAE Peripatopsis overbergiensis PHALANGODIDAE SANDOKANIDAE EPEDANIDAE PETROBUNIDAE PODOCTIDAE ASSAMIIDAE SAMOIDAE BIANTIDAE ESCADABIIDAE FISSIPHALLIIDAE ZALMOXIDAE STYGNOPSIDAE AGOR

Electronic supplementary material is available online at https://dx.doi. org/10.6084/m9.figshare. c.3691975. & 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. The Opiliones tree of life: shedding light on harvestmen relationships through transcriptomics
Motion blur removal based on restoration error analysis

A new technique for motion blur removal is proposed in this paper. Motion blur occurs when there is relative motion between the camera and the object of interest. To remove the blur, it is first necessary to identify the point spread function (PSF). We study the characteristics of restoration errors due to some elaborately selected PSFs. The direction and extent of the PSF can be determined after some intentional restorations. Wiener filter is then incorporated to restore the blurred image. The algorithm is effective and robust to noise. We apply it to the restoration of motion blurred license plates images. The results are fairly satisfactory.
The Micro-Pillar Shear-Stress Sensor MPS3 for Turbulent Flow

Wall-shear stress results from the relative motion of a fluid over a body surface as a consequence of the no-slip condition of the fluid in the vicinity of the wall. To determine the two-dimensional wall-shear stress distribution is of utter importance in theoretical and applied turbulence research. In this article, characteristics of the Micro-Pillar Shear-Stress Sensor MPS3, which has been shown to offer the potential to measure the two-directional dynamic wall-shear stress distribution in turbulent flows, will be summarized. After a brief general description of the sensor concept, material characteristics, possible sensor-structure related error sources, various sensitivity and distinct sensor performance aspects will be addressed. Especially, pressure-sensitivity related aspects will be discussed. This discussion will serve as ‘design rules’ for possible new fields of applications of the sensor technology.
Decompressing Perceptually Adaptive Normal Map Compression (PANMC) images in hardware

3D games use normal mapping techniques to improve the realism and visual detail of scenes when lighting models are applied. Normal map data is typically compressed to reduce the data storage requirements of a normal map image for a complex object. This paper presents a hardware implementation of a decompression algorithm for a recently proposed compression technique for normal map images. The hardware design was developed using VHDL and prototyped on a field programmable gate array (FPGA) development board. The design is suitable for implementation in modern graphics processing hardware. Experimental results demonstrate that the design is capable of achieving the frame rates required for high definition gaming experiences.
Prediction of Possible Biomarkers and Novel Pathways Conferring Risk to Post-Traumatic Stress Disorder

Post-traumatic stress disorder is one of the common mental ailments that is triggered by exposure to traumatic events. Till date, the molecular factors conferring risk to the development of PTSD is not well understood. In this study, we have conducted a meta-analysis followed by hierarchical clustering and functional enrichment, to uncover the potential molecular networks and critical genes which play an important role in PTSD. Two datasets of expression profiles from Peripheral Blood Mononuclear Cells from 62 control samples and 63 PTSD samples were included in our study. In PTSD samples of GSE860 dataset, we identified 26 genes informative when compared with Post-deploy PTSD condition and 58 genes informative when compared with Pre-deploy and Post-deploy PTSD of GSE63878 dataset. We conducted the meta-analysis using Fisher, roP, Stouffer, AW, SR, PR and RP methods in MetaDE package. Results from the rOP method of MetaDE package showed that among these genes, the following showed significant changes including, OR2B6, SOX21, MOBP, IL15, PTPRK, PPBPP2 and SEC14L5. Gene ontology analysis revealed enrichment of these significant PTSD-related genes for cell proliferation, DNA damage and repair (p-value ≤ 0.05). Furthermore, interaction network analysis was performed on these 7 significant genes. This analysis revealed highly connected functional interaction networks with two candidate genes, IL15 and SEC14L5 highly enriched in networks. Overall, from these results, we concluded that these genes can be recommended as some of the potential targets for PTSD.
A driving assistance system with vision based vehicle detection techniques

Lane departure and forward collision detection plays an important role in autonomous driving and commercial driver-assistance systems. This paper presents an integrative approach to vision-based lane departure detection which aims to be as simple as possible to enable the real-time computation while being able to adapt to a variety of highway and urban scenarios on different weather conditions. In this work, we also implement a vision-based forward collision warning system and an overtaking vehicle detection system. The forward collision warning system aims to detect other vehicles driving ahead of the host vehicle so as to avoid the potential traffic accidents. On the other hand, the overtaking vehicle detection system is to detect other vehicles behind or on the side of the host vehicle so as to give an alert to the driver when the vehicle begins overtaking. Experimental results are presented with real scene video sequences. The performance evaluation has demonstrated the effectiveness of the proposed techniques.
Auditing : advances in behavioral research

What allows an experienced accountant or financial statement user to perform certain tasks more effectively than the inexperienced individual? This book addresses that question, as well as others that arise from human information processing issues. In the mid-1980s, much of behavioural decision-making research in accounting changed direction and began to explore the effects of attributes of accounting decision settings that distinguish them from those commonly examined by psychologists. This analysis examines the most recent developments in behavioural research in auditing.
Interaction of MRI field gradients with the human body

In this review, the effects of low-frequency electromagnetic fields encountered specifically during magnetic resonance imaging (MRI) are examined. The primary biological effect at frequencies of between 100 and 5000 Hz (typical of MRI magnetic field gradient switching) is peripheral nerve stimulation, the result of which can be a mild tingling and muscle twitching to a sensation of pain. The models for nerve stimulation and how they are related to the rate of change of magnetic field are examined. The experimental measurements, and analytic and computational modelling work in this area are reviewed. The review concludes with a discussion of current regulation in this area and current practice as both are applied to MRI.
Cranial variation and the transition to agriculture in Europe

Debates surrounding the nature of the Neolithic demographic transition in Europe have historically centred on two opposing models; a 'demic' diffusion model whereby incoming farmers from the Near East and Anatolia effectively replaced or completely assimilated indigenous Mesolithic foraging communities and an 'indigenist' model resting on the assumption that ideas relating to agriculture and animal domestication diffused from the Near East, but with little or no gene flow. The extreme versions of these dichotomous models have been heavily contested primarily on the basis of archaeological and modern genetic data. However, in recent years there has been a growing acceptance of the likelihood that both processes were ongoing throughout the Neolithic transition and that a more complex, regional approach is required to fully understand the change from a foraging to a primarily agricultural mode of subsistence in Europe. Craniometric data have been particularly useful for testing these more complex scenarios, as they can reliably be employed as a proxy for the genetic relationships amongst Mesolithic and Neolithic populations. In contrast, modern genetic data assume that modern European populations accurately reflect the genetic structure of Europe at the time of the Neolithic transition, while ancient DNA data are still not geographically or temporally detailed enough to test continent-wide processes. Here, with particular emphasis on the role of craniometric analyses, we review the current state of knowledge regarding the cultural and biological nature of the Neolithic transition in Europe.
Zinc and iron status during pregnancy of Filipino women.

Low birthweight is associated with maternal anaemia and, in some circumstances, with low iron and zinc status, but this relationship has not been investigated in the Philippines. In this study, we assessed the prevalence of anaemia and suboptimal iron and zinc status in pregnant women from three geographical regions (mountain, coast, city) of Zamboanga del Sur province at 24 weeks (n = 305). and again at 36 weeks (n = 127), gestation. At 24 weeks, 34% were anaemic (i.e., haemoglobin < 105 g/L) from all causes, of whom only 14% had concomitant low serum ferritin values (i.e., < 12 microg/L). The presence of infection was low, based on both elevated white blood cell count (> 11 x 10(9)/L; 19%) and serum C-reactive protein (> 15 mg/L; 3%). Of the women surveyed, 20% were iron depleted but not anaemic, and 15% were zinc deficient (i.e., serum zinc < 7.1 Micromol/L). The mean (+/- SD) birthweight of the infants (n = 250) was 3074 g +/- 408 g, of whom 5% were of low birthweight (< 2500 g). No differences existed for biochemical indices or birthweight among the three regions, or between women consuming maize or rice-based diets. Women with low haemoglobin (P = 0.05) and low serum zinc (P = 0.14) values at 24 weeks gestation had infants with lower birthweights than those with values > or = 105 g/L and > or = 7.1 micromol/L, respectively. However, in the multivariate model, the contribution of maternal haemoglobin to the variance in birthweight at 24 weeks gestation was non-significant, although modest for serum zinc. Anaemia and/or suboptimal zinc status during pregnancy may be related to low birthweight in the Philippines, and their aetiology deserves further study.
[Prevention of variceal rebleeding by TIPS combined with embolization of gastric coronary veins: a clinical controlled study].

OBJECTIVE To prospectively compare the rates of gastroesophageal variceal rebleeding in patients underwent TIPS alone and TIPS combined with embolization of gastric coronary veins. METHODS According to the bleeding state within one week before the shunt placement, 122 patients with hepatic cirrhosis indicated for the secondary prevention of gastroesophageal variceal rebleeding were allocated to the shunt group (n = 44, treated with TIPS alone) and the shunt plus embolization group (n = 78, treated with TIPS combined with embolization of gastric coronary veins). All the patients were followed up for 1 year, and the 1-year cumulative rates of rebleeding, shunt patency and mortality were compared. RESULTS The basic characteristics of patients in the two groups were comparable (P is more than 0.05). The 1-year cumulative re-bleeding rates were 41.5% in the shunt group and 19.5% in the shunt combined with embolization group (x2 = 6.320, P = 0.012). The differences of 1-year cumulative rates of shunt patency and mortality between the two groups were not significant (P is more than 0.05). CONCLUSIONS TIPS combined with embolization of gastric coronary veins could reduce significantly the rate of rebleeding in 1 year after the shunt placement as compared with TIPS alone.