Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-efficient and fast collection method for smart sensor monitoring systems

As the era of pervasive computing dawns, smart sensors and wireless sensor networks (WSN) are the main candidates to create a smart world where the things are able to interact to the Internet. This paper introduces a smart sensor monitoring system which is composed of a smartphone application, a data collection device, and smart sensors. Basically, the smart sensor monitoring system gets sensed data from smart sensors via the data collection device. To get sensed data, this paper proposes an enhanced fast sensor collection algorithm. Smart sensors in the proposed method learn their communication and collisions to adjust their schedule to gather sensor data from smart sensors, and find out suitable time to send sensor data. The proposed method also uses a wake-up signal to extend the lifetime of the smart sensor. In addition, this paper deals with the design and implementation of the smart sensor monitoring system, and the performance evaluation to verify the superiority of the proposed method. The proposed method is able to read sensor data 8% faster than the traditional approach.
Southern Racism and Reality: A Case Study

The notion pervasive in the popular media of the racist Southerner is a stereotype with serious implications. Despite recent evidence showing that slavery and even plantations were plentiful in the North into the early 19 th Century, people commonly ascribe a higher level of racist predisposition to individuals living in the South. This paper looks at the period between 1950 and 1970 to see if cities from the former Confederacy responded differently to the Civil Rights Movement as compared to cities from the former Union along two different segregation indices. The results show that while Southern cities had significantly higher levels of racial isolation, there was no significant difference in the way Southern segregation changed over the course of the Civil Rights Movement relative to the North.
The Return to Seniority for Danish Male Labour Market Entrants

I estimate the return to seniority for Danish male labour market entrants. To circumvent the endogenity of seniority I apply a method suggested by Lillard (1999) to estimate the joint distribution of wage and seniority. The model is estimated on a matched employer-employee panel dataset allowing me to control for individual specifi ce ffects and match specifi ce ffects in a two-way error component wage equation with endogenous mobility. I find that the return to seniority is small and that the lion’s share of earnings growth is due to return to general labour market experience. Furthermore, I find that ”high ability” workers tend to earn more and have shorter job-durations, while ”match quality” only affects wages.
A Review of NEPA, a Novel Fixed Antiemetic Combination with the Potential for Enhancing Guideline Adherence and Improving Control of Chemotherapy-Induced Nausea and Vomiting

Combination antiemetic regimens targeting multiple molecular pathways associated with emesis have become the standard of care for prevention of chemotherapy-induced nausea and vomiting (CINV) related to highly and moderately emetogenic chemotherapies. Antiemetic consensus guidelines from several professional societies are widely available and updated regularly as new data emerges. Unfortunately, despite substantial research supporting the notion that guideline conformity improves CINV control, adherence to antiemetic guidelines is unsatisfactory. While studies are needed to identify specific barriers to guideline use and explore measures to enhance adherence, a novel approach has been taken to improve clinician adherence and patient compliance, with the development of a new combination antiemetic. NEPA is an oral fixed combination of a new highly selective NK1 receptor antagonist (RA), netupitant, and the pharmacologically and clinically distinct 5-HT3 RA, palonosetron. This convenient antiemetic combination offers guideline-consistent prophylaxis by targeting two critical pathways associated with CINV in a single oral dose administered only once per cycle. This paper will review and discuss the NEPA data in the context of how this first combination antiemetic may overcome some of the barriers interfering with adherence to antiemetic guidelines, enhance patient compliance, and offer a possible advance in the prevention of CINV for patients.
Efficacy of memristive crossbars for neuromorphic processors

This paper describes memristor-based neuromorphic circuits for non-linear separable pattern recognition. We initially describe a memristor based neuron circuit and then show how multilayer neural networks can be constructed using this neuron circuit. These neuromorphic circuits are capable of learning both linearly and non-linearly separable logic functions. This paper presents the first study of applying neural network learning algorithms to these circuits in SPICE. Our simulations capture alternate current paths within the memristor crossbars and wire resistances that are essential to properly model in crossbar circuits. Our results show that neural network learning algorithms are able to train around these alternate current paths. Further, it was shown that neural networks can properly train the passive memristor-based crossbars without having to use virtual ground mode operational amplifiers as suggested in previous work. Our circuit requires in-situ training, but reduces the number of transistors required by the circuit by about 3 times and reduced the circuit power consumption almost 2 orders of magnitude compared to a virtual ground approach. The key impact of this study is the demonstration through low level circuit simulations that dense memristor crossbars can be effectively utilized to build neuromorphic processors.
New constraints on Planck-scale Lorentz violation in QED from the Crab Nebula

We set constraints on O(E/M) Lorentz violation in QED in an effective field theory framework. A major consequence of such assumptions is the modification of the dispersion relations for electrons/positrons and photons, which in turn can affect the electromagnetic output of astrophysical objects. We compare the information provided by multiwavelength observations with a full and self-consistent computation of the broad-band spectrum of the Crab Nebula. We cast constraints of the order of 10−5 at 95% confidence level on the lepton Lorentz violation parameters.
Towards Intelligent Tuning of Frequency and Transmission Power Adjustment in Beacon-based Ad-Hoc Networks

This paper presents a genetic-based approach to determine optimal values of frequency and transmission power in beacon-based ad-hoc networks. The approach has been evaluated through simulations, and it has demonstrated to be more efficient than a dynamic control of frequency and transmission power, with reduction of up to 73% in packet collisions and with reduction of packet losses of up to 63% in an urban scenario. The approach and the results presented in this paper represent our initial efforts towards a more efficient control of beacon frequency and transmission power, which can exploit the benefits of a geneticbased approach but that can be applied in runtime in practical scenarios.
ReCA: An Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization

In recent years, Solid-State Drives (SSDs) have gained tremendous attention in computing and storage systems due to significant performance improvement over Hard Disk Drives (HDDs). The cost per capacity of SSDs, however, prevents them from entirely replacing HDDs in such systems. One approach to effectively take advantage of SSDs is to use them as a caching layer to store performance critical data blocks in order to reduce the number of accesses to HDD-based disk subsystem. Due to characteristics of Flash-based SSDs such as limited write endurance and long latency on write operations, employing caching algorithms at the Operating System (OS) level necessitates to take such characteristics into consideration. Previous OS-level caching techniques are optimized towards only one type of application, which affects both generality and applicability. In addition, they are not adaptive when the workload pattern changes over time. This paper presents an efficient Reconfigurable Cache Architecture (ReCA) for storage systems using a comprehensive workload characterization to find an optimal cache configuration for I/O intensive applications. For this purpose, we first investigate various types of I/O workloads and classify them into five major classes. Based on this characterization, an optimal cache configuration is presented for each class of workloads. Then, using the main features of each class, we continuously monitor the characteristics of an application during system runtime and the cache organization is reconfigured if the application changes from one class to another class of workloads. The cache reconfiguration is done online and workload classes can be extended to emerging I/O workloads in order to maintain its efficiency with the characteristics of I/O requests. Experimental results obtained by implementing ReCA in a 4U rackmount server with SATA 6Gb/s disk interfaces running Linux 3.17. 0 show that the proposed architecture improves performance and lifetime up to 24 and 33 percent, respectively.
Efficient Termination Detection for Loosely Synchronous Applications in Multicomputers

We propose a simple algorithm which is based on edge-coloring of system graphs for termination detection of loosely synchronous computations. The proposed algorithm is fully symmetric in that all processors run syntactically identical code and can detect global termination at the same time. Under the 1-port communication model, the algorithm is optimal in terms of termination delay, the difference between the time when a global termination occurs and the time it is detected, in a number of structures-chain, ring of even number of nodes, k-ary n-cube and k-ary n-mesh of low degree, where k is even; and near-optimal for other cases. The optimality analysis is based on results from a related problem, periodic gossiping in edge-colored graphs. This algorithm has been applied to some practical cases in which the overhead due to its execution is found to be insignificant.
Engineering software-based motivation: A persona-based approach

Software-based motivation refers to the use of technology to enhance the engagement and efficiency of people in performing tasks and following a certain behaviour. Instances of such paradigm include gamification, persuasive technology and entertainment computing. Despite its potential, an ad-hoc introduction of software-based motivation to a business environment may lead to detrimental effects such as creating pressure and tension, and also reducing quality and authenticity. Hence, we advocate the need for a systematic engineering process to develop software solutions for motivation requirements. One of the challenges is in the high diversity in users' perception and acceptance of motivation strategies and their software-based incarnations. In this paper, we propose the use of personas as an intermediate step which increases efficiency in the engineering process for both engineers and users. We conduct an empirical research and identify elements which describe people with regard to their perception and preferences towards software-based motivational techniques and create a set of exemplary personas to aid the engineering process. We also present guidelines and challenges related to using persona-based engineering methods for software-based motivation.
A curated online resource for SOX10 and pigment cell molecular genetic pathways

We describe the creation of a specialized web-accessible database named the Pigment Cell Gene Resource, which contains information on the genetic pathways that regulate pigment cell development and function. This manually curated database is comprised of two sections, an annotated literature section and an interactive transcriptional network diagram. Initially, this database focuses on the transcription factor SOX10, which has essential roles in pigment cell development and function, but the database has been designed with the capacity to expand in the future, allowing inclusion of many more pigmentation genes. Database URL: http://research.nhgri. nih.gov/pigment_cell/
Security risks in the short-range communication of ubiquitous application

Recently, various applications applying ubiquitous computing have appeared. For instance, health applications have benefited from information and services, which are available from various sensors and medical devices in the surrounding environment. These applications utilize different wireless communication technologies in order to achieve a good connectivity, which is essential in ubiquitous computing. Weak security in wireless networks may ruin the security of the whole application. Hence, it is vital to realize threats, possible vulnerabilities and security assumptions made in these technologies. In this paper, we study Bluetooth, ZigBee and NFC from the security point of view in ubiquitous health applications. In the study, we emphasize security aspects starting from the physical communication layer.
Evaluation of the Influence of Experimental Periodontitis on the Sexual Behaviour of Male Wistar Rats

Aim: Few studies have been reported a correlation between periodontal disease and erectile dysfunction in men. The aim of the present study was to evaluate the sexual behaviour of adult male rats with experimental periodontitis. Materials and Methods: Fourteen male rats were divided into the following two groups: nonligature, control (n = 7) and experimental with ligature (n = 7). The latter group had a ligature placed around each lower first molar for the development of experimental periodontitis. After 29 days of induction of periodontitis, the sexual behaviour of the male rats was recorded between 20:00-21:00, with lighting provided by a dim light. Initially, the males were placed in an observation Original Research Article Pedrotti et al.; BJMMR, 15(9): 1-8, 2016; Article no.BJMMR. 25998 2 cage for an adaption period of 900 seconds. After this time, a sexually receptive female was introduced into the cage with the male. On the thirtieth day the rats were sacrificed and samples of hemimandible were collected for radiographic analysis. Results: The rats in the ligature group showed a decrease (p < 0.05) in the intrusion frequency compared with the control group and ejaculation was not observed in the ligature group during the maximum recording time. It was confirmed that periodontitis was induced in the group with ligature due to the greater distance from the cementoenamel junction to the alveolar crest in the radiographic analysis (p <0.01). Conclusion: Experimental periodontitis may contribute to a reduction in the sexual behaviour of male rats.
Munc18c in Adipose Tissue Is Downregulated in Obesity and Is Associated with Insulin

Objective Munc18c is associated with glucose metabolism and could play a relevant role in obesity. However, little is known about the regulation of Munc18c expression. We analyzed Munc18c gene expression in human visceral (VAT) and subcutaneous (SAT) adipose tissue and its relationship with obesity and insulin. Materials and Methods We evaluated 70 subjects distributed in 12 non-obese lean subjects, 23 overweight subjects, 12 obese subjects and 23 nondiabetic morbidly obese patients (11 with low insulin resistance and 12 with high insulin resistance). Results The lean, overweight and obese persons had a greater Munc18c gene expression in adipose tissue than the morbidly obese patients (p<0.001). VAT Munc18c gene expression was predicted by the body mass index (B = −0.001, p = 0.009). In SAT, no associations were found by different multiple regression analysis models. SAT Munc18c gene expression was the main determinant of the improvement in the HOMA-IR index 15 days after bariatric surgery (B = −2148.4, p = 0.038). SAT explant cultures showed that insulin produced a significant down-regulation of Munc18c gene expression (p = 0.048). This decrease was also obtained when explants were incubated with liver X receptor alpha (LXRα) agonist, either without (p = 0.038) or with insulin (p = 0.050). However, Munc18c gene expression was not affected when explants were incubated with insulin plus a sterol regulatory element-binding protein-1c (SREBP-1c) inhibitor (p = 0.504). Conclusions Munc18c gene expression in human adipose tissue is down-regulated in morbid obesity. Insulin may have an effect on the Munc18c expression, probably through LXRα and SREBP-1c.
The Quantization process for the Driven Quantum Well - Perturbative Expansion and the Classical Limit

We consider the quantum mechanical behavior of a driven particle in an infinite 1D potential well. We show that the time dependent perturbation series is induced by the delicate non-trivial properties of the momentum operator in this case, namely, its non-self-adjointness. Using this expansion, we calculate the first order contribution to the cross section and the energy gain, and discuss their classical limit. In this limit the one-period energy gain converges to its classical analog - the classical local (momentum space) diffusion coefficient. Both the classical and quantum mechanical results are compared with numerical simulations.
The Legacy of Alan Turing : Connectionism concepts and folk psychology

In recent years, much research has been devoted to the simulation of write-ahead logging; unfortunately, few hav e simulated the study of Markov models. In fact, few researche rs would disagree with the synthesis of the memory bus. In this position paper, we demonstrate that the acclaimed game theoretic algorithm for the simulation of Scheme by S. W. Smith et al. [114], [188], [62], [70], [179], [68], [95], [18 8], [54], [152], [191], [59], [168], [148], [99], [58], [129], [ 179], [128], [106] is maximally efficient.
Tapered Radial Fed Circuit and Varactor-Mounted Waveguide Switch for Millimeter-Wave Switched Sector-Beam Antenna

This paper describes the simulated designs of an improved radial fed circuit and a varactor-mounted waveguide switch, which are expected to play important roles in the realization of a millimeter-wave switched sector-beam antenna. The aim of this antenna's development is to realize an ultra-high-speed gigabit-rate wireless LAN. In this paper, an eight-sector beam antenna is described. The radial structure is designed so that the input power from a unique RF port at the structure's center can be sent to any one of the selected sectors with maximum power under the required bandwidth. The simulation results of the proposed tapered radial structure show that the bandwidth of S21, with an insertion loss of -1.0 dB in the frequency range of 59-66 GHz, is 5.4 GHz, which is the three times that achieved in our previous work. Basic study is also carried out on factors such as choke structure, switch position, and the losses caused by the dielectric and metallic materials as well as the parasitic components of the varactor of the proposed waveguide switch
SET-9 and SET-26 are H3K4me3 readers and play critical roles in germline development and longevity

C. elegans SET-9 and SET-26 are highly homologous paralogs that share redundant functions in germline development, but SET-26 alone plays a key role in longevity and heat stress response. Whereas SET-26 is broadly expressed, SET-9 is only detectable in the germline, which likely accounts for their different biological roles. SET-9 and SET-26 bind to H3K4me3 with adjacent acetylation marks in vitro and in vivo. In the soma, SET-26 acts through DAF-16 to modulate longevity. In the germline, SET-9 and SET-26 restrict H3K4me3 domains around SET-9 and SET-26 binding sites, and regulate the expression of specific target genes, with critical consequence on germline development. SET-9 and SET-26 are highly conserved and our findings provide new insights into the functions of these H3K4me3 readers in germline development and longevity.
Schedulability tests for tasks with Variable Rate-dependent Behaviour under fixed priority scheduling

Automotive embedded real-time systems such as Engine Management utilise cyclic tasks that are activated periodically based on angular rotation rather than time. As well as having variable inter-arrival times, these tasks also have deadlines and worst-case execution times that are dependent on angular velocity i.e. engine speed or rpm. Such tasks exhibit Variable Rate-dependent Behaviour (VRB). In this paper, we introduce response time analysis for systems comprising VRB and sporadic tasks under fixed priority scheduling. Sufficient schedulability tests are introduced; from simple linear upper bounds on interference, to a more complex analysis using information about the physical limitations of the system to provide constraints for an ILP formulation of the problem.
A review of image-warping methods

Image warping is a transformation which maps all positions in one image plane to positions in a second plane. It arises in many image analysis problems, whether in order to remove optical distortions introduced by a camera or a particular viewing perspective, to register an image with a map or template, or to align two or more images. The choice of warp is a compromise between a smooth distortion and one which achieves a good match. Smoothness can be ensured by assuming a parametric form for the warp or by constraining it using differential equations. Matching can be specified by points to be brought into alignment, by local measures of correlation between images, or by the coincidence of edges. Parametric and non-parametric approaches to warping, and matching criteria, are reviewed.
C dil, a Human Gl and S Phase Protein Phosphatase That Associates with Cdk2

Summary We used the interaction trap, a yeast genetic selection for interacting proteins, to isolate human cyclin-dependent kinase interactor 1 (Cdil). In yeast, Cdil interacts with cyclin-dependent kinases, including human CdcP, Cdk2, and Cdk3, but not with Ckd4. In HeLa cells, Cdil is expressed at the Gl to S transition, and the protein forms stable complexes with Cdk2. Cdil bears weak sequence similarity to known tyrosine and dual specificity phosphatases. In vitro, Cdil removes phosphate from tyrosine residues in model substrates, but a mutant protein that bears a lesion in the putative active site cysteine does not. Overexpression of wild-type Cdil delays progression through the cell cycle in yeast and HeLa cells; delay is dependent on Cdil phosphatase activity. These experiments identify Cdil as a novel type of protein phosphatase that forms complexes with cyclin-dependent kinases.
BOOSTEXTER FOR TEXT CATEGORIZATION IN SPOKEN LANGUAGE DIALOGUE

Data collection plays a critical role in the development of accurate syntactic and semantic models for natural-language dialogue systems. This task, which is known to be both labor intensive and financially expensive, is the bottleneck when rapidly prototyping voice-enabled services. In this paper, we propose a mathematical framework for minimizing the reliance of data by refining human expertise with the statistics of any available training data. In particular, we extend BoosTexter, a member of the boosting family of algorithms, to combine and balance hand-crafted rules with the statistics of the data in spoken language understanding. Experiments on two voice-enabled applications for customer care and help desk are presented.
Impactful Resistance

Contrary to an ontology of defeatism that permeates scholarship on resistance, this paper suggests a perspective through which resistance can lead to hope and the unlikely victory of the powerless against the powerful. We offer an example where resisters develop specific activities that substantially modify a power relationship, thus showing the persistence of a recognition modality of impactful resistance on today’s workplaces. The paper engages with recent accounts of post-recognition politics that largely deny the willingness of workers to struggle about issues related to work.