Miracle-dz/UniFAR-FTUs huggingface dataset:
A variation-aware approach for task allocation in wireless distributed computing systems

Wireless distributed computing (WDC) enables the radio nodes with reduced computing abilities to cooperate in processing complex computational tasks for minimizing the overall processing latency (makespan). However, the uncertainty of the dynamic mobile wireless environment, which is not an issue for the traditional distributed computing, poses a challenge for WDC. In this paper, a variation-aware approach for WDC is proposed to determine the task allocation by considering the heterogeneous computing capability of the radio nodes as well as the impact of the radio environment. To this end, the transmission latency is characterized as a random variable that depends on the channel fading and the transport protocol. A variation-aware task graph analysis is proposed for the estimation of the makespan's distribution. The evolutionary algorithms are employed for the allocation mapping. We use simulation results to affirm makespan estimation improvement of the proposed approach compared with the traditional deterministic approach, and give insights on the dominating factors for the improvement1.
Understanding Artificial Anasazi

A replication and analysis of the Artificial Anasazi model is presented. It is shown that the success of replicating historical data is based on two parameters that adjust the carrying capacity of the Long House Valley. Compared to population estimates equal to the carrying capacity the specific agent behavior contributes only a modest improvement of the model to fit the archaeological records.
QoS Architecture in Ad Hoc Networks

We propose and discuss an augmented DiffServ architecture for ad hoc networks. It utilizes the concept of shadow classes and monitoring for admission control. Each DiffServ class has an associated shadow class with a higher drop probability, but the same scheduling properties. A new flow must reside in its shadow class before it is admitted. The resulting QoS is monitored, and the new flow is not admitted if the received QoS is not satisfactory. This ensures that new flows chiefly affect lower priority flows. Through simulations with three classes, EF, AF and BE, we find the QoS architecture's performance in terms of loss and delay. The real-time traffic in the EF class shows good and stable performance independent of the load. The AF class gets a constant throughput, while the BE class utilizes the available resources and maximizes its throughput.
Behavioral control of swarm robots with implicit communication: A New approach

The Practical Swarm Optimization (PSO) algorithms are required behavioral control to perform successful navigation. The role of communication with behavioral control is an important issue in swarm robotics. This paper presents how the leader and follower robots can change their mode of behavioral control by switching between centralization and decentralization processing methods with a new approach using implicit communication. The target of the robots is to reach the goal point, which is placed with IR beacon. The robots can avoid obstacles with the help of IR sensors (1 meter range) and communicates with RF Transceivers (2.4GHz). If there is no obstacle in between leader and follower, then follower continues to follow the leader as per centralization behavior mode. In this process if obstacle arrives between the leader and follower, it can avoid with IR sensor's information. When both of them are away from original path, then they are decentralized and plan to reach the goal individually. The customized prototype Robots are developed with Arduino Uno ATMEGA328P which is used as the control unit for both leader and follower with a transceiver pair of NRF24L01 (2.4 GHz) to achieve inter - swarm communication. The proposed algorithm is implemented in our laboratory and this design is pragmatic in industrial and medical fields. IndexTerms: centralization, decentralization, obstacle avoidance, swarm robotics
Publishing Practices and the Role of Publication in the Work of Academics in the Mathematics Education Research Community in England

This thesis explores the publishing practices of the mathematics education research community in England with the aim of better understanding the ways in which education research is shaped by its social, institutional and political context. This is of vital importance in debates about its goals, nature and future, particularly at a time of rapid change in the higher education sector, with changing funding patterns, a drive for research 'impact' and the association of publication with accountability through the Research Assessment Exercise and the Research Excellence Framework. Mathematics education research is explored on three levels: as a field, following Bourdieu; through its external relations with other areas of research, with institutions, government and society; and through the sense-making of individuals who are part of it. The focus on publications cuts an analytical cross-section/seam across these three levels since publication is intimately bound up in both internal and external struggles. Interviews with academics and social network analysis of publication data are brought together through an analysis of existing literature which examines the autonomy, boundaries, entry conditions and doxa of mathematics education research as a field. Semi-structured interviews with nine academics at English universities were used to reconstruct some of the narrative resources drawn on in making sense of publishing practices. These suggest that positive narratives around the value of publication to the research field itself are lacking. This finding is I inked to the nature of education research as a field of study connected to professional practice, as well as to the link between publication and accountability. Exploratory social network analysis of publication data from fourteen mathematics education research journals over a ten-year period allowed a structural examination of the patterns that the ties formed by collaboration. This analysis was then linked with interview data on individual positioning within the field, suggesting the varied ways in which similar patterns of collaboration arise. Implications are drawn for mathematics education research in the UK and for the role of publication in social sciences research, particularly in a field of study connected with professional practice.
Therapeutic Targeting of ATP7B in Ovarian Carcinoma

Purpose: Resistance to platinum chemotherapy remains a significant problem in ovarian carcinoma. Here, we examined the biological mechanisms and therapeutic potential of targeting a critical platinum resistance gene, ATP7B, using both in vitro and in vivo models. Experimental Design: Expression of ATP7A and ATP7B was examined in ovarian cancer cell lines by real-time reverse transcription-PCR and Western blot analysis. ATP7A and ATP7B gene silencing was achieved with targeted small interfering RNA (siRNA) and its effects on cell viability and DNA adduct formation were examined. For in vivo therapy experiments, siRNA was incorporated into the neutral nanoliposome 1,2-dioleoyl-sn-glycero-3-phosphatidylcholine (DOPC). Results:ATP7A and ATP7B genes were expressed at higher levels in platinum-resistant cells compared with sensitive cells; however, only differences in ATP7B reached statistical significance. ATP7A gene silencing had no significant effect on the sensitivity of resistant cells to cisplatin, but ATP7B silencing resulted in 2.5-fold reduction of cisplatin IC50 levels and increased DNA adduct formation in cisplatin-resistant cells (A2780-CP20 and RMG2). Cisplatin was found to bind to the NH2-terminal copper-binding domain of ATP7B, which might be a contributing factor to cisplatin resistance. For in vivo therapy experiments, ATP7B siRNA was incorporated into DOPC and was highly effective in reducing tumor growth in combination with cisplatin (70-88% reduction in both models compared with controls). This reduction in tumor growth was accompanied by reduced proliferation, increased tumor cell apoptosis, and reduced angiogenesis. Conclusion: These data provide a new understanding of cisplatin resistance in cancer cells and may have implications for therapeutic reversal of drug resistance.
The third person plural impersonal in Swedish. A typological account

The present paper analyses the Swedish 3pl personal pronoun de/dom ‘they’ as an important linguistic means of expressing impersonality, which according to Anna Siewierska (2008a) involves presenting the agent as non-referential and not-specified (or defocused) in discourse. In its non-referential function, the pronoun is seen as constituting the core of the so-called 3pl impersonal construction widely discussed in the typological research context. A close-reading investigation of language data taken from the Internet enables us to give a more adequate description of the construction and its subtypes in Swedish. The analysis is based on the taxonomy established for 3pl impersonals in European languages, and also highlights what has been neglected in the typological descriptions regarding the 3pl pronoun’s impersonal occurrence in this language. The paper provides evidence for a set of the Swedish 3pl impersonal uses, which are characterized as universal, corporate, vague and specific existential readings, as well as for the item’s quotative function in the speech act verb construction de sager ‘they say’. However, the so-called inferred existential reading of de/dom ‘they’ has not been confirmed.
Performance comparison of windows-based thin-client architectures

The basic idea behind thin-client architectures is to run applications on a central server instead of installing them separately on each client. The Windows remote desktop protocol (RDP) and the Citrix presentation server are two well known approaches to separate the location of where the user input is processed from the computer he is actually working on. While both alternatives solve the same problem, they rely on significantly different mechanisms to handle the exchange of user input and screen updates between client and server. In this paper we therefore compare the performance of both protocols under different aspects. In particular, we study the load caused on network layer as well as the satisfaction of the end user with the service quality achieved by the different terminal services. As this performance heavily depends on the current network conditions, we emulate realistic scenarios in a controlled testbed environment and measure the time required for typical office tasks on application layer. As a result, we quantify the Quality-of-Experience (QoE) perceived by the end-user, compare the overhead required by the different available protocols, and unveil their advantages and disadvantages. Our results can be used to decide which protocol to use in which scenario.
A distributed interleaving scheme for efficient access to WideIO DRAM memory

Achieving the main memory (DRAM) required bandwidth at acceptable power levels for current and future applications is a major challenge for System-on-Chip designers for mobile platforms. Three dimensional (3D) integration and 3D stacked DRAM memories promise to provide a significant boost in bandwidth at low power levels by exploiting multiple channels and wide data interfaces. In this paper, we address the problem of efficiently exploiting the multiple channels provided by standard (JEDEC's WIDE-IO) 3D-stacked memories, to extract maximal effective bandwidth and minimize latency for main memory access. We propose a new distributed interleaved access method that leverages the on-chip interconnect to simplify the design and implementation of the DRAM controller, without impacting performance compared to traditional centralized implementations. We perform experiments on realistic workload for a mobile communication and multimedia platform and show that our proposed distributed interleaving memory access method improves the overall throughput while minimally impacting the performance of latency sensitive communication flows.
Reduction of blood loss in primary hip arthroplasty with tranexamic acid or fibrin spray

Background and purpose Previous studies have shown that either fibrin spray or tranexamic acid can reduce blood loss at total hip replacement, but the 2 treatments have not been directly compared. We therefore conducted a randomized, controlled trial. Patients and methods In this randomized controlled trial we compared the effect of tranexamic acid and fibrin spray on blood loss in cemented total hip arthroplasty. 66 patients were randomized to 1 of 3 parallel groups receiving (1) a 10 mg/kg bolus of tranexamic acid prior to surgery, (2) 10 mL of fibrin spray during surgery, or (3) neither. All participants except the surgeon were blinded as to treatment group until data analysis was complete. Blood loss was calculated from preoperative and postoperative hematocrit. Results Neither active treatment was found to be superior to the other in terms of overall blood loss. Losses were lower than those in the control group, when using either tranexamic acid (22% lower, p = 0.02) or fibrin spray (32% lower, p = 0.02). Interpretation We found that the use of tranexamic acid at induction, or topical fibrin spray intraoperatively, reduced blood loss compared to the control group. Blood loss was similar in the fibrin spray group and in the tranexamic acid group. ClinicalTrials.gov identifier: NCT00378872 EudraCT identifier: 2006-001299-19 Regional Ethics Committee approval: 06/S0703/55, granted June 6, 2006
Comparison of Latent Heat Flux Using Aerodynamic Methods and Using the Penman-Monteith Method with Satellite-Based Surface Energy Balance

A surface energy balance was conducted to calculate the latent heat flux (λE) using aerodynamic methods and the Penman–Monteith (PM) method. Computations were based on gridded weather and Landsat satellite reflected and thermal data. The surface energy balance facilitated a comparison of impacts of different parameterizations and assumptions, while calculating λE over large areas through the use of remote sensing. The first part of the study compares the full aerodynamic method for estimating latent heat flux against the appropriately parameterized PM method with calculation of bulk surface resistance (rs). The second part of the study compares the appropriately parameterized PM method against the PM method, with various relaxations on parameters. This study emphasizes the use of separate aerodynamic equations (latent heat flux and sensible heat flux) against the combined Penman–Monteith equation to calculate λE when surface temperature (Ts) is much warmer than air temperature (Ta), as will occur under water stressed conditions. The study was conducted in southern Idaho for a 1000-km2 area over a range of land use classes and for two Landsat satellite overpass dates. The results show discrepancies in latent heat flux (λE) values when the PM method is used with simplifications and relaxations, compared to the appropriately parameterized PM method and full aerodynamic method. Errors were particularly significant in areas of sparse vegetation where differences between Ts and Ta were high. The maximum RMSD between the correct PM method and simplified PM methods was about 56 W/m2 in sparsely vegetated sagebrush desert where the same surface resistance was applied.
Deadline Scheduling Algorithms in Cloud Computing: A Review

Computing is the nascent technology which is based on pay-per-use model. It is computing paradigm where applications, data, bandwidth and IT services are provided via Internet. Objective of the cloud service providers to use resource proficiently and achieve the maximum profit. This leads to task scheduling as a core and inspiring issue in cloud computing. Scheduling is the procedure of determining how to oblige resources between a varieties of possible tasks. In this research paper various types of deadline scheduling algorithms that meets the deadline have been surveyed and analyzed. Based on the study of different algorithms, a comparison between them are presented on the basis of different perspectives.
An Edge-Preserving Wavelet Denoising Method Based on MRF

In this paper, we improve the soft-threshold by using Markov random field (MRF) theory to preserve the edges of images. According to MRF theory, the similarity problem of the edge structure can be transformed into an energy function minimization problem. Through computing all the energies of the edge structures in clique c, we can find the edge structure with the minimum energy, and regard it as the edge structure of this place. In this way, we can gain the edge information of an image. Here we detect the edge of image in wavelet domain. In our method we preserve the wavelet coefficients which belong to edge set; for the other wavelet coefficients, the soft threshold method is applied. Then, we reconstruct the treated wavelet coefficients by using inverse wavelet transform. The experiment result shows that our method is better than the hard threshold and soft threshold method. It will not only smooth away noise, but also preserve the edge of image.
Scribble: an efficient reliable manycast protocol for ad-hoc networks

The problem of efficient message delivery to multiple nodes has been widely studied for ad-hoc networks, be it sensor or mobile ad-hoc networks (MANETs). We are concerned with deterministic delivery guarantees, i.e. the delivery ratio for any given message is guaranteed not to fall below a threshold specified for that message. This threshold can be considered to take the special case value of 100% when message delivery is guaranteed to all nodes. Guaranteeing delivery to all in a group, however desirable, often involves making a simplifying assumption that no destination node leaves the group nor crashes during an execution of the protocol. However, the nodes that make up an ad-hoc network are prone to failures and are likely to leave the group, something which undermines the validity of the assumption. We outline a protocol, called Scribble, which permits the minimum threshold to be less than 100%, thus allowing a few nodes to depart or crash during the execution. More precisely, it provides what we call k-deterministic delivery guarantees, where delivery is guaranteed to at least k destination nodes. The value of k is chosen by the application is required to be a realistic value. Such a service is called manycast.
Better perinatal outcomes following transfer of fresh blastocysts and blastocysts cultured from thawed cleavage embryos: a population-based study.

BACKGROUND Fresh embryo transfer results in higher live birth rates, while thawed embryo transfer appears to result in healthier babies. This study aims to investigate the association between the transfer of fresh or thawed embryos at the cleavage or blastocyst stage and the perinatal outcomes. METHODS This analysis is a retrospective population-based study of 150 376 autologous embryo transfer cycles in Australia during 2002-2006. The rates of pregnancy, live delivery and 'healthy baby' delivery (a single baby born live at term, weighing >or=2500 g, surviving for at least 28 days post birth and not having congenital anomalies) were compared after transfer of fresh cleavage embryos, fresh blastocysts, thawed cleavage embryos, blastocysts from thawed cleavage embryos and thawed blastocysts. RESULTS The live delivery rate was significantly higher for transfer of fresh blastocysts (27.9%) than for blastocysts cultured from thawed cleavage embryos (22.0%), fresh cleavage embryos (21.7%), thawed blastocysts (16.3%) and thawed cleavage embryos (15.2%). Compared with the transfer of fresh blastocysts, the likelihood of a 'healthy baby' was significantly lower for blastocysts from thawed cleavage embryos [adjusted odds ratios (AOR) 0.73, 95% confidence intervals (CI) 0.65-0.82], fresh cleavage embryos (AOR 0.67, 95% CI 0.64-0.69), thawed blastocysts (AOR 0.57, 95% CI 0.53-0.62) and thawed cleavage embryos (AOR 0.53, 95% CI 0.51-0.56). Of thaw cycles, transfers of thawed blastocysts (AOR 0.79, 95% CI 0.70-0.89) and thawed cleavage embryos (AOR 0.71, 95% CI 0.63-0.79) had significantly lower odds of 'healthy baby' than transfer of blastocysts from thawed cleavage embryos. CONCLUSIONS These data suggest that an optimum practice model to maximize the outcomes of the birth of a 'healthy baby' is the transfer of blastocysts and the freezing of cleavage embryos in fresh cycles and subsequent transfer of blastocysts cultured from these thawed cleavage embryos.
Transient gene transfer of IL-12 regulates chemokine expression and disease severity in experimental arthritis.

Murine collagen-induced arthritis (CIA) is characterized by pannus formation, cell infiltration, and cartilage erosion, and shares histologic and immunologic features with rheumatoid arthritis. Numerous cytokines are reportedly associated with RA and/or CIA; however, their mechanistic role is not clear. To determine the role of IL-12 in CIA, DBA/1 LacJ mice were administered 3 x 10(8) plaque-forming units of mIL-12 i.p. in a nonreplicating adenoviral vector (AdIL-12) on day 25 following primary type II collagen immunization. Our studies demonstrated that systemic transient overexpression of IL-12 accelerated disease progression and augmented the arthritis severity relative to mice expressing a replication-deficient, E1-deleted Ad5 construct. A likely mechanism for this increase in pathology was the increase in the expression of cytokines and chemokines known to play a proinflammatory role in disease. In particular, levels of murine IFN-gamma were significantly increased in mice overexpressing AdIL-12 relative to the replication-deficient, E1-deleted Ad5 construct. Interestingly, the C-X-C chemokine murine macrophage inflammatory protein-2, as well as the C-C chemokines murine monocyte chemoattractant protein-1 and murine macrophage inflammatory protein-1alpha were up-regulated by AdIL-12 relative to controls. In an additional set of studies, neutralization of endogenous IL-12 in CIA mice was shown to delay disease onset and attenuate disease severity. IFN-gamma levels in the mice receiving anti-IL-12 were significantly decreased in joint homogenates. These studies demonstrate that IL-12 is an important cytokine involved in controlling the production of chemokines/cytokines leading to the evolution of experimental arthritis.
Do More Dropouts in Pool5 Feature Maps for Better Object Detection

Deep Convolutional Neural Networks (CNNs) have gained great success in image classification and object detection. In these fields, the outputs of all layers of CNNs are usually considered as a high dimensional feature vector extracted from an input image and the correspondence between finer level feature vectors and concepts that the input image contains is all-important. However, fewer studies focus on this deserving issue. On considering the correspondence, we propose a novel approach which generates an edited version for each original CNN feature vector by applying the maximum entropy principle to abandon particular vectors. These selected vectors correspond to the unfriendly concepts in each image category. The classifier trained from merged feature sets can significantly improve model generalization of individual categories when training data is limited. The experimental results for classification-based object detection on canonical datasets including VOC 2007 (60.1%), 2010 (56.4%) and 2012 (56.3%) show obvious improvement in mean average precision (mAP) with simple linear support vector machines.