Miracle-dz/UniFAR-FTUs huggingface dataset:
QBT: Queue-Size Based Busy Tones for Protecting Multihop Low-Power Networks

Cross-technology interference in the ISM band is a prevalent and challenging problem. Prior work has proposed to use busytone signaler that can protect Zigbee transmissions from WiFi interference, but only in a single-hop setting. In this work, we propose Queue-size based Busy Tone (QBT) scheme that uses novel multihop busytone scheduling and priority path selection algorithms to protect multihop Zigbee network under heavy WiFi traffic. We adopt the busytone idea from prior work, but extend it to multihop networks where data is collected from and forwarded by a number of low-power nodes. We implement QBT on a lowpower embedded platform, and evaluate through experimental measurements on a real multihop LLN testbed consisting of 30 low-power embedded nodes and one gateway with two radios, the sink and the signaler, respectively. We show that QBT improves the performance of Zigbee network under WiFi interference dramatically in terms of both reliability (up to 66.4%) and energy efficiency (up to 24.4%). We also report our findings on adjacent-channel interference among Zigbee channels, and investigate the effect of busytone on WiFi traffic as well.
On the applicability of binary classification to detect memory access attacks in IoT

IoT nodes have faced several attacks aiming to compromise their confidentiality (illegitimately accessing private information), integrity (tampering with the data) and/or availability (denying/ discontinuing the provided service by the node). One way of compromising the node’s security is by targeting its memory. Accessing the memory allows the attacker not only to access confidential data but also to have a complete control over the node. In this paper, we investigate the utilisation of nine state of art binary classifiers in detecting suspicious memory accesses (e.g., decision trees, Support Vector Machine SVM, Naive Bayes, Random Forest, Quadratic Discriminant Analysis among others). To evaluate the detection performance of the classifiers, a test use case with different dump attack strategies is developed. The classifiers are compared in terms of their detection accuracy, their complexity and the amount of memory leaked before detection. The results indicate that lightweight binary classifiers were able to flag as suspicious the attacks in their earliest stages.
Impact of Buﬀer Size on a Congestion Control Algorithm Based on Model Predictive Control

For dedicated private WANs we propose a new congestion control algorithm based on Model Predictive Control (MPC) to produce flows with predictable rates and round trip times (RTTs). We model the bottleneck link as a queue, and based on a first order model relating the sending rate and the RTT we have designed and implemented (as a Linux kernel module) a MPC based congestion control algorithm that avoids the extreme window (which translates to rate) reduction that exists in current control algorithms when facing network congestion. Through simulation and experimental analyses, we have shown that our algorithm achieves the goals of a low standard deviation of RTT and pacing rate, even when the bottleneck link is fully utilized. In the case of multiple flows, we can assign different rates to each flow and as long as the sum of rates is less than the bottleneck rate, they can maintain their assigned pacing rate with low standard deviation. In this paper, we study the impact of network buffer size on the performance. Simulation analyses show that with a buffer size of at least 25% of the bandwidth delay product (BDP), the flows equally share the bottleneck link capacity and achieve full link utilization. Increasing the buffer size has an impact on the variance of the sending rate and RTT which is studied with respect to the number of flows. ACM Reference Format: Taran Lynn, Nathan Hanford, Dipak Ghosal. 2019. Impact of Buffer Size on a Congestion Control Algorithm Based on Model Predictive Control. In Proceedings of Buffer Sizing Workshop (BS’19). ACM, New York, NY, USA,
Atomistic approach to simulate kink migration and kink-pair formation in silicon: The kinetic activation-relaxation technique

The energy conversion efficiency of solar cells based on multicrystalline silicon is greatly deteriorated by dislocations. However, an in-depth understanding on the dislocation motion dynamics down to atomic scale is still lacking. In this paper, we propose a novel atomistic approach to simulate the kink migration and kink-pair formation which govern dislocation motion in silicon, namely the kinetic activation-relax technique (k-ART). With this method, long timescale events can be simulated and complex energy landscapes can be explored. Four mechanisms for kink migration are observed, with total activation energy of 0.16, 0.25, 0.32, and 0.25 eV. New nontrivial kink structures that participate in kink migration are identified due to the open-ended search algorithm for saddle points in k-ART. In addition, a new pathway for kink-pair formation, with a minimum activation energy of 1.11 eV is discovered. The effect of shear stress on kink migration is also investigated. It shows that shear stress shifts the energy barriers of available events to lower energies, resulting in a change of the preferred kink-migration mechanism and a reduction of kink-pair formation energy.
Credit Constraints, Discounting and Investment in Health: Evidence from Micropayments for Clean Water in Dhaka∗

Low rates of adoption of and low willingness to pay for preventative health technologies pose an ongoing puzzle in development economics. In the case of water-borne disease, the burden is high both in terms of poor health and cost of treatment. Inexpensive preventative technologies are available, but willingness to pay (WTP) for products such as chlorine treatment or ceramic filters has been observed to be low in a number of contexts. In this paper, we investigate whether time payments (micro-loans or dedicated micro-savings) can increase WTP for a high-quality ceramic water filter among 400 households in slums of Dhaka, Bangladesh, where water quality is poor and the burden of water-borne disease high. We use a modified Becker-Degroot-Marschak mechanism to elicit WTP for the filter under a variety of payment plans. Crucially, we obtain valuations from each household across all payment plans, which (a) increases power and (b) allows us to investigate the mechanisms behind differences in WTP across plans. We find that time payments significantly increase WTP: compared to a lump-sum up-front purchase, median WTP increases 83% with a six-month loan and 115% with a 12-month loan. Similarly, coverage can be greatly increased: at an unsubsidized price (50% subsidy) coverage is 12% (27%) under a lump-sum but as high as 45% (71%) given time payments. We use our rich within-household WTP data, the design of the payment plans, and a simple structural model of time preference and credit constraints to investigate the mechanisms. We find that households are not impatient with respect to health goods and that therefore time-preferences do not contribute to low baseline WTP. We find strong evidence for the presence of credit constraints.
M – 20 ACCURACY COMPARISON OF SIMPLE, SYSTEMATIC, AND STRATIFIED RANDOM SAMPLING FOR ESTIMATING POPULATION (MINIMARKET CASE IN INDONESIA) Abadi

This paper aims to compare the accuracy of three methods of sampling, namely Simple Random Sampling (SRS), Systematic Random Sampling and Stratified Random Sampling. The data used as the simulation is data PODES 2011. So the data that is used as a parameter in this study are primary data in the form of data results PODES 2011 were rural / village with minimarket (RVM). The method of analysis is done in two stages. The first phase saw the condition of the minimarket population data as a basis for exploration. The second stage of the estimation simulate the total population and the variance by using simple random sampling, systematic random sampling, and stratified random sampling. The next stage of comparing the results of estimation of population parameters of the sampling methods to the total population of the minimarket PODES 2011. The results are reviewed based on the accuracy of each method. Stratified random sampling method (DKM as a base coating) with a sample size of 500 generate predicted values with the highest degree of accuracy compared with the SRS and systematic random sampling. Its bias value at 22 outlets, its standard error of 2606.2 outlets, and his MSE of 6.79254 million.
Contribution in Information Systems: Insights from the Disciplinary Matrix

The concept of a “contribution” to Information Systems (IS) research is of significant concern for authors, reviewers and editors. We argue that the criteria of novelty and utility are insufficient to evaluate the contribution of a research paper. We expand upon Kuhn’s disciplinary matrix of shared commitments to symbolic generalization, exemplars and model/theory as the background to which every contribution is oriented. Cogency or persuasiveness of research is the resultof logic, dialectic, rhetoric, and social-institutional argumentation in relation to the disciplinary matrix.We use three examples of published research to illustrate how these elements can be combined to frame research as a contribution relative to the wider IS field. We then discuss the implications for IS when contribution is understood in relation to a disciplinary matrix.
Characterizing IOF Terms with the DOLCE and UFO Ontologies

This paper is an ontological analysis exercise aiming, first of all, at clarifying the intended semantic of a number of general terms used in the manufacturing domain, selected by the Industrial Ontologies Foundry (IOF) initiative. In addition, we show how the DOLCE foundational ontology is well-suited as main reference framework for this task, integrated (in a few specific cases) with more recent work done in the framework of UFO. For each term, we propose a DOLCEbased (first-order) axiomatization together with examples and counter-examples. In several cases, some new primitives are introduced in addition to those used in DOLCE.
Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources

Background: Accurate estimation of active general practitioners (GPs) is a concern for health authorities to estimate requirements. This study aimed to accurately estimate GPs active supply in Iran using three sources capture-recapture (CRC) method. Methods: This cross-sectional study collected data during 2015–2016, targeting all GPs registered in three independent data sources; a national survey from all hospitals, database of human resource management office at health ministry and physicians’ offices databank. Variables including medical council codes, GP names, surnames and national ID codes were used for data linkage among the three sources. Three sources CRC method was applied using log-linear models to estimate the total number of active GPs in STATA software. Results: Overall, 27,048 GPs were identified after removing the duplicate records. Based on CRC three sources data, the total number of GPs were 53,630 in 2015–2016. Distribution of GPs per 1,000 population among the provinces indicates that provinces of Kohgiluyeh & Boyer Ahmad, Mazandaran, Golestan and Yazd with ratios of 1.28, 1.28, 1.21 and 1.17 physicians rank the highest proportion of GPs and the provinces of Sistan & Baluchestan, Ilam, Zanjan, Alborz, North Khorasan with corresponding ratios of 0.24, 0.40, 0.40, 0.43 and 0.45 GPs ranked the lowest. Conclusion: CRC method is known to be the best and rapidest method to estimate active GP due to its compatibility for the current situation of databanks in Iran. Therefore, this method is a good application in human resource distribution and planning.
12. Carbon fluxes and Critical Zone observations in the Italian mountains

The carbon cycle plays a central role in Earth’s climate and in biosphere functioning, as it controls the amount of carbon dioxide in the atmosphere and thus the greenhouse effect. Besides the deep, “geological” and slow carbon cycle, associated with plate tectonics, volcanism, and surface rock weathering (e.g., Broecker, 2018), living organisms generate a “fast” carbon cycle with fluxes greatly exceeding the geological ones. Once more, this is an example where the emergence of a biosphere has dramatically modified the planetary cycles and processes, enhancing the rate of energy and matter exchange between the different reservoirs. In this framework, an especially interesting concept was developed at the dawn of this century: the planetary “Critical Zone”, that is, that thin living layer between the (almost) undisturbed rock matrix below and the top of vegetation canopy (NRC 2001, Giardino and Houser 2015). In this layer, which we can also call the “Earth living skin”, one can witness the action of physical, chemical, geological, biological and hydrological processes that interact with each other at multiple space and time scales and support the terrestrial ecosystem. Mountain regions participate in the global carbon cycle with their own and unique characteristics, and host especially interesting Critical Zones that are exposed to extreme weather conditions, frostdefrost cycles, and lately to the effects of widespread de-glaciation: reduction of seasonal snow cover, permafrost thawing, and glacier melting. In this sense, high-elevation Alpine areas are somewhat similar to Arctic tundra regions, also dramatically affected by temperature rise. At lower elevations, on the other hand, land-use changes, abandonment of traditional practices and unsustainable development are affecting the dynamics of vegetation and soils, with complex effects on the Critical Zone. In the NextData project, we have supported and extended a network of ground measurement stations in the Italian mountains, devoted to the estimate of the carbon fluxes and to the study of the mountain Critical Zone. In this chapter we report on some of the measurement methods employed and on the measurement facilities that were installed, and discuss some of the results of the measurement campaigns.
DMRT3 gene mutation and higly linked SNP in gaitedness horse breeds

Lukanova, N. , Stefanova, K. , & Stoykova-Grigorova, R. (2018). DMRT3 gene mutation and highly linked SNP in gaitedness horse breeds. Bulgarian Journal of Agricultural Science, 24(4), 679–685 The DMRT3 mutation has had a major effect on the diversifi cation of the domestic horse, as the altered gait characteristics of a number of breeds, including this mutation. Doublesex and mab-3 related transcription factor 3 (DMRT3) gene shown that a mutation from cytosine (C) to adenine (A) has a major impact on harness racing performance of different breeds. The DMRT3 mutant allele (A) has been found in high frequency in gaited breeds and breeds bred for harness racing (trot or pace), while other horse breeds were homozygous for the wild-type allele (C). The heterozygous allele (CA) were found in horse breeds for harness racing and fourand fi ve-gaited breeds. Sequncing at SNP BIEC2-620109 resulted in detection of both heterozygous (CT) and homozygous genotypes (CC, TT). Mutation in DMRT3 has a major impact on gaitedness in horses and is presented at a high frequency in gaited breeds and in horses breed for harness racing. The aim of the study is to describe the effect of the DMRT3 gene mutation and higly linked SNP in different gaited and harness horse breeds.
A Present Day Approach to Crown Lengthening – Piezosurgery

Maintaining a healthy periodontium during restorative procedures is an indispensable condition for achieving optimal functioning and esthetics. Thus, the knowledge of anatomy, influence of the restorative material and its complement on periodontium is vital. Difficulty in maintaining adequate biological width (BW) is a frequent problem encountered in this type of reconstruction. Crown lengthening is commonly used to maintain the dentogingival complex in optimal conditions and to correct aesthetic defects through a smile design. Piezosurgery, which uses a modulated ultrasonic frequency, permits highly precise and safe cutting of hard tissue. Because of its highly selective and accurate nature, its use may be extended to more complex surgical and interdisciplinary cases. In this case report, we present the contemporary use of piezosurgery for crown lengthening procedure.
Il Mulino-Rivisteweb

This study analyses daily data of the stock index futures markets of Turkey (BIST30) and four Eurozone countries – Italy (MIB30), France (CAC40), Spain (IBEX), Greece (ASE20) – spanning from March 2005 to March 2012. Using the GARCH model and Granger methodology, the study shows that bidirectional causality holds for futures return volatilities in these Eurozone areas, and it is only in the case of the Turkish BIST30 index futures returns that a weak unidirectional pattern can be identified. This provides empirical evidence that the Eurozone stock markets investigated in this study are highly integrated. Additionally, the spillover effect between the Turkish market and the other Eurozone stock markets in the Mediterranean is insignificant. These findings provide a better understanding of the inter-relations and volatility causality among these five financial markets and could better guide financial policy makers and investors in their efforts to maintain/regain stability in their financial system.
PII: S0024-3795(01)00401-3

We present new fast direct methods for solving a large symmetric banded Toeplitz system of ordern with bandwidthp. We make use of structured matrices which can be diagonalized by the discrete sine transform matrix, sometimes called τ -matrices. A first method writes the Toeplitz matrix as the sum of a τ -matrix and a low rank matrix. A second method embeds the Toeplitz matrix in a larger τ -matrix of orderm. The methods are similar to Jain [IEEE Trans. Acoust. Speech Signal Process. 26 (1978) 121] and Linzer [Linear Algebra Appl. 170 (1992) 1], who worked with circulant matrices. Both algorithms consist in solving two τ -systems and two smaller systems. Aτ -system of ordern can be solved in O(n logn) by using a discrete sine transform ifn+ 1 has small prime factors. Therefore, the second algorithm is preferable, since we can choose m such thatm+ 1 has small prime factors. On the other hand, in the second method the smaller systems can become large when m differs too much fromn, while in the first method the order is always p − 1. In both methods, the small systems have low displacement rank, so we can use fast methods to solve them. © 2002 Elsevier Science Inc. All rights reserved. This research was partially supported by the Fund for Scientific Research–Flanders (FWO–V), project “SMA: Structured Matrices and their Applications” grant #G.0078. 01, by the K.U. Leuven (Bijzonder Onderzoeksfonds), project “SLAP: Structured Linear Algebra Package,” grant #OT/00/16, by the Belgian Programme on Interuniversity Poles of Attraction, initiated by the Belgian State, Prime Minister’s Office for Science, Technology and Culture. The scientific responsibility rests with the authors. ∗ Corresponding author. E-mail addresses: jef.hendrickx@cs.kuleuven. ac.be (J. Hendrickx), marc.vanbarel@cs.kuleuven. ac.be (M. Van Barel). 0024-3795/02/$ see front matter 2002 Elsevier Science Inc. All rights reserved. PII: S0024-3795(01)00401-3 212 J. Hendrickx, M. Van Barel / Linear Algebra and its Applications 343–344 (2002) 211–232
Yes-associated protein 1 promotes bladder cancer invasion by regulating epithelial-mesenchymal transition.

PURPOSE To investigate the expression of Yes-associated protein 1 (YAP1) in bladder cancer, and to study its role in regulating epithelial-mesenchymal transition in bladder cancer cells. MATERIAL AND METHODS The expression of YAP1, vimentin, and E-cadherin was detected by immunohistochemistry in bladder cancer and para-carcinoma tissues. The relation between expression levels and overall survival of patients was evaluated by Kaplan-Meier estimates. Furthermore, YAP1 expression was knocked down in T24 and UMUC3 bladder cancer through transfection with YAP1-targeted small interfering RNA (siRNA), and the impact on invasiveness and epithelial-mesenchymal transition was detected. RESULTS Expression levels of YAP1 were higher in bladder cancer tissues, and increased YAP1 expression significantly correlated with poor patient outcomes and poor overall survival in bladder cancer patients. Furthermore, YAP1 siRNA significantly attenuated the invasion of bladder cancer cells and could reverse their epithelial-mesenchymal transition. CONCLUSION YAP1 appears to play an important role in bladder cancer progression and is highlighted as a novel potential therapeutic target.
UDC 004.738:519.85 MOBILE AMBIENT CALCULUS WITHIN INSERTION MODELING SYSTEM

This article is focused on the Insertional Modeling System developed by A.A. Letichevsky of the department 100/105 of the Glushkov Institute of Cybernetics, National Academy of Science of Ukraine, Kyiv, Ukraine Insertion Modeling System (IMS)[1] is buit on the Algebraic Programming System (APS) that also was developed by A.A. Letichevsky in 1987. and on the way of implementation of ambient calculus – a process calculus devised by Luca Cardelli and Andrew D. Gordon in 1998, and used to describe and theorize about concurrent systems that include mobility. [6] In this article we are going to discuss the constructing of the framework for mobile ambients using the Insertion Modeling System.
Ischaemic conditioning of the heart: From academic curiosity to clinical application

Ischaemic heart disease (IHD) is one of the leading causes of death and disability worldwide. There remains a need therefore, to discover novel therapies for protecting the myocardium from the detrimental effects of acute ischaemia/reperfusion injury (IRI). Over 30 years ago, the concept of ‘ischaemic preconditioning’ (IPC), in which the myocardium is protected from acute IRI when subjected to brief cycles of non-lethal ischaemia and reperfusion, was first introduced. After reperfusion, IPC remains the most powerful endogenous cardioprotective strategy for reducing myocardial infarct size. Over the years, the concept of IPC has evolved into ischaemic postconditioning (IPost) and remote ischaemic conditioning (RIC), strategies which have facilitated the translation of ischaemic conditioning into the clinical setting. In this article, we provide a historical overview of IPC and the heart, we trace its evolution into IPost and RIC, and we discuss the therapeutic potential of ischaemic conditioning for improving clinical outcomes in patients with IHD.
A Theoretical Framework for Aerial Inspection of Siltation in Waterways

Silt accumulation and sedimentation in canal beds leads to deterioration of watercourses over time. Every year a forced closure of the canals in the Indus basin is inevitable for canal cleaning, entailing a very large scale and costly operation. Silt removal precision is prone to inefficiencies due to subjective decision making in the cleaning process. In this paper, we lay out a theoretical framework to map the semi-structured (emptied) canal bed terrains with an Unmanned Aerial Vehicle (UAV) system for quantitative inspection of deposited silt. The study employs Gaussian process regression on sampled points to determine a continuous distribution of silt surface, thereby, predicting the volume of silt on canal bed. Our theoretical analysis builds upon certain mathematical bounds on the variance of estimated volume, while explicitly considering localization error and sensor noise. Essentially, we setup a framework for studying how tolerable are the process and measurement uncertainties, while achieving a desired accuracy in silt profile and corresponding volume. We demonstrate the regression results in simulations as well as real world lab-scaled-model (LMS151 laser scanner) with different sets of parameters. Volume estimation is verified practically and mathematical performance limits are proposed in established aerial canal inspection system.