Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulators for VANET

: VANET system would behave under different conditions.It is known that networking and mobility component are required to form a VANET. Continuous increased of on-road vehicles has also increased the possibility of accidents, most of it caused by human errors. Hence, a solution has been proposed, which is to make vehicles more intelligent through research on vehicular ad hoc networks (VANETs). Researchers and developers have built VANET simulation software to allow the study and evaluation of various media access, routing, and emergency warning protocols. MATLAB and Simulation of Urban Mobility (SUMO) are further used for VANET simulation respectively. At the same time, TraCI4Matlab, an Application Programming Interface (API) developed in MATLAB that allows communication between any applications written in MATLAB and SUMO simulator is also discussed. Absence of road traffic safety takes a toll of precious human lives and poses a dire threat to our environment as well. Moreover, we present results of our proposed algorithm secure key exchange in NS2 simulator.
Innovation Studies Utrecht ( ISU ) Working Paper Series ( I Can ’ t Get No ) Saturation : A Simulation and Guidelines for Minimum Sample Sizes in Qualitative Research

This paper explores the sample size in qualitative research that is required to reach theoretical saturation. I conceptualize a population as consisting of sub-populations that contain different types of information sources that hold a number of codes. Theoretical saturation is reached after all the codes in the population have been observed once in the sample. I delineate three different scenarios to sample information sources: “random chance,” which is based on probability sampling, “minimal information,” which yields at least one new code per sampling step, and “maximum information,” which yields the largest number of new codes per sampling step. Next, I use simulations to assess the minimum sample size for each scenario for systematically varying hypothetical populations. I show that theoretical saturation is more dependent on the mean probability of observing codes than on the number of codes in a population. Moreover, the minimal and maximal information scenarios are significantly more efficient than random chance, but yield fewer repetitions per code to validate the findings. I formulate seven guidelines for purposive sampling and recommend that researchers follow a minimum information scenario.
Æternity blockchain

Since the introduction of Ethereum in 2014 there has been great interest in decentralized trustless applications (smart contracts). Consequently, many have tried to implement applications with real world data on top of a blockchain. We believe that storing the application’s state and code on-chain is wrong for several reasons. We present a highly scalable blockchain architecture with a consensus mechanism which is also used to check the oracle. This makes the oracle very efficient, because it avoids layering one consensus mechanism on top of another. State channels are integrated to increase privacy and scalability. Tokens in channels can be transferred using purely functional smart contracts that can access oracle answers. By not storing contract code or state on-chain, we are able to make smart contracts easier to analyze and faster to process, with no substantial loss in de facto functionality. Applications like markets for synthetic assets and prediction markets can be efficiently implemented at global scale. Several parts have proof-of-concept implementations in Erlang. Development tools and application essentials such as a wallet, naming and identity system will also be provided.
Variation in Flowering Plant-Bee Linkages Following Experimental Restoration of Satoyama Paddy Fields

Deterioration of ecosystem services and biodiversity occurs in abandoned satoyama. Restoration practices seem to improve them in this case flowering plant-bee linkages, which is to be studied quantitatively. Sixteen pairs of restored and control plots (both 2 x 2 m 2 ) were established in the study site in Kanazawa. A paddy was constructed inside each restored plot and weeded the bank, while control plots were left untouched. For these plots, the number of species and percentage coverage of flowering plants were recorded and flower-visiting bees were collected using sweeps net 3 times per month from May to October 2013. The flowering plant-bee linkage parameters were higher in control than restored plots except for nestedness. The linkages in restored plots were higher in May-June while those in control plots were higher in July to October. The combination of both plots with proper ratio could support the high biodiversity within satoyama landscape.
The Role of Talin 2 in Breast Cancer Tumorigenesis and Metastasis

Recent studies show that talin2 has a higher affinity to β-integrin tails and is indispensable for traction force generation and cell invasion. However, its roles in cell migration, cancer cell metastasis and tumorigenesis remain to be determined. Here, we used MDA-MB-231 human breast cancer cells as a model to define the roles of talin2 in cell migration, invasion, metastasis and tumorigenesis. We show here that talin2 knockdown (KD) inhibited cell migration and focal adhesion dynamics, a key step in cell migration, and that talin2 knockout (KO) inhibited cell invasion and traction force generation, the latter is crucial for cell invasion. Re-expression of talin2WT in talin2-KO cells restored traction force generation and cell invasion, but that of talin2S339C, a β-integrin-binding deficient mutant, did not. Moreover, talin2 KO (or KD) suppressed tumorigenesis and metastasis in mouse xenograft models. However, surprisingly, re-expression of talin2WT in talin2-KO cells did not rescue tumorigenesis. Thus, talin2 is required for breast cancer cell migration, invasion, metastasis and tumorigenesis, although exogenous expression of high levels of talin2 could inhibit
Advanced interference management techniques for future generation cellular networks

The demand for mobile wireless network resources is constantly on the rise, pushing for new communication technologies that are able to support unprecedented rates. In this thesis we address the issue by considering advanced interference management techniques to exploit the available resources more efficiently under relaxed channel state information (CSI) assumptions. While the initial studies focus on current half-duplex (HD) technology, we then move on to full-duplex (FD) communication due to its inherent potential to improve spectral efficiency. Work in this thesis is divided into four main parts as follows. In the first part, we focus on the two-cell two-user-per-cell interference broadcast channel (IBC) and consider the use of topological interference management (TIM) to manage inter-cell interference in an alternating connectivity scenario. Within this context we derive novel outer bounds on the achievable degrees of freedom (DoF) for different system configurations, namely, single-input single-output (SISO), multiple-input single-output (MISO) and multiple-input multiple-output (MIMO) systems. Additionally, we propose new transmission schemes based on joint coding across states that exploit global topological information at the transmitter to increase achievable DoF. Results show that when a single state has a probability of occurrence equal to one, the derived bounds are tight with up to a twofold increase in achievable DoF for the best case scenario. Additionally, when all alternating connectivity states are equiprobable: the SISO system gains 11 16 DoF, achieving 96.4% of the derived outer bound; while the MISO/MIMO scenario has a gain of 1 2 DoF, achieving the outer bound itself. In the second part, we consider a general G-cell K-user-per-cell MIMO IBC and analyse the performance of linear interference alignment (IA) under imperfect CSI. Having imperfect channel knowledge impacts the effectiveness of the IA beamformers, and leads to a significant amount of residual leakage interference. Understanding the extent of this impact is a fundamental step towards obtaining a performance characterisation that is more relevant to practical scenarios. The CSI error model used is highly versatile, allowing the error to be treated either as a function of the signal-to-noise ratio (SNR) or as independent of it. Based on this error model, we derive a novel upper bound on the asymptotic mean sum rate loss and quantify the DoF loss due to imperfect CSI. Furthermore, we propose a new version of the maximum signal-to-interference plus noise ratio (Max-SINR) algorithm which takes into account statistical knowledge of the CSI
Technological investigation of Early Neolithic pottery from Vörs, southwest Hungary

This work is part of an interdisciplinary project to establish a diachronic study of a multi-period habitation site in Vörs, southwest Hungary. The approach combines archaeology and archaeometry. This article presents the results of the petrographic, mineralogical and geochemical study of Early Neolithic ceramics excavated at Vörs. The aim of the authors was to group the pottery samples according to their petrographic and geochemical properties and — where possible — make comments on ceramic-making technology.
PAPER : 2011-1 CONDITIONAL DEMAND SYSTEM FOR BEVERAGES

Estimates of a conditional demand system for twelve beverages, based on the Rotterdam model subject to a full, first-order autoregressive process, are discussed. Impacts of beverage prices, total beverage expenditures and promotions on beverage quantities demanded are provided. The results indicate that all beverages were normal goods; the majority had price elastic demands; most had a relatively large own-promotion effect; and a number of significant cross-promotional effects exist, indicating a relatively high level of competition for market share among the beverages studied.
Evaluation of Nuvan Toxicity Stress on Blood Lipoprotein of Fresh Water Fish Channa punctatus

Organophosphate insecticide Nuvan (DDVP) has selected for the present study, Lethal concentrations were calculated for the fresh water snake headed fish Channa punctatus i.e 0.27ml/L after 24, 48, 72 and 96 hours. For the chronic study 1/10th of the Nuvan concentration (0.027ml/L) was provided to the observed fishes. Blood serum lipoprotein HDL, VLDL and LDL High Density lipoprotein, Very low Density lipoprotein and low density lipoprotein respectively were estimated after chronic toxic stress of Nuvan to fish Channa punctatus. Fish serum lipoprotein and HDL revealed significant decrease level while LDL and VLDL showed significant elevated level after 7, 14, 21, and 28 days at different level p <0.01 and p <0.001. All values are mentioned in graphs respectively.
Marketing Information Systems Practices in Small Manufacturing Firms: Antecedents and Consequences

A survey of 54 small and medium-sized enterprises (SMEs) in the Canadian manufacturing sector has allowed us to study their marketing information system (MkIS) practices, that is, in terms of information collection, analysis and diffusion. Structural equation analysis of a path model with the help of the PLS technique also allowed us to identify certain determinants of the MkIS, notably the firms' marketing strategy, and its impacts on the SMEs' marketing decisions and performance.
ECONOMIC ASSESSMENT OF R&D WITH REAL OPTIONS IN THE FIELD OF FAST REACTORS TAKING INTO ACCOUNT UNCERTAINTY ON THEIR COMPETITIVENESS: THE CASE OF FRANCE

In a context of potential worldwide nuclear development, this paper aims at assessing the economic value of pursuing research in Generation IV fast reactors today, given that it would allow industrial deployment around 2040 in case of high uranium prices. Two key variables shall be considered as inputs for the assessment: the price of uranium and the overcost of Generation IV reactors compared to the previous generation. Our model based on real options theory demonstrates that this value is positive and outweighs the risks associated with the competitiveness of
Free-Hand Based Gesture Recognition

In this work, we present an interaction technique based on computer vision for human-computer gesture interaction. With the proposed system, the user is going to be able to make different type of gestures with it’s hand and arm, and the computer will recognize the gestures in order to response individually to each of them. The main contribution to the interaction field is that this technique implements and improves on the hedge computer vision and pattern recognition algorithms, so it offers a low cost and robust solution for a real world application.
Antioxidant, cytotoxic and iNOS activity of Liquidambar orientalis Mill . resin extracts

: Objective: The aim of this study is to investigate the in vitro cytotoxicity and iNOS (inducible nitric oxide synthase) inhibitory, and antioxidant activity in order to assess the traditional usage of Liquidambar orientalis Mill resin extract. Methods: Different solvent extracts of Liquidambar orientalis Mill resin were prepared. The cytotoxicity of extracts was determined using MTT (3-(4,5-dimethyl-2-thi-azolyl)-2,5-diphenyl-2H-tetrazoliumbromide) assay. HeLa (Human cervix adenocarcinoma), A-549 (Human alveolar adenocarcinoma), MCF-7 (Human breast adenocarci-noma), CaCo-2 (Human colon colorectal adenocarcinoma), mPANC96 (Human pancreas adenocarcinoma), PC-3 (Human prostate adenocarcinoma), U87MG (Human glio-blastoma-astrocytoma) and as a normal cell line HEK293 (Human embryonic kidney cells) and Vero (African green monkey kidney epithelial cells) were used for testing cytotoxicity. RAW 264.7 (murine macrophage cell lines) was used to determine the inhibition levels of inducible nitric oxide synthase (iNOS). HL-60 (human acute myeloid leu-kemia) was used to determine antioxidant activity as DCF production per cent. Results: Hexane, dichloromethane, methanol and water extracts were prepared, and their iNOS inhibitory, cytotoxic and antioxidant activity were investigated. The esti-mated IC 50 values of extracts varied from 6.68 to 48.90 µg/ ml after treatment with different doses of extracts for 48 h. Inhibition of the hexane, dichloromethane, methanol, and water extracts on LPS-induced NO production in RAW 264.7 macrophage were showed that the all extracts inhibited NO production in activated RAW 264.7 cells, except methanol extract. Hexane, dichloromethane and methanol extracts inhibited NO production with IC 50 values of 22 μg/ml, 22 μg/ml, and 21/ml μg, respectively. The antioxidant activity was determined by the production of DCF in HL-60 cells. The extracts showed a potent antioxidant effect, with an IC 50 of in between from 19.01 to 39.77 µg/ml. Conclusion: This study is the first report showing the potential of Liquidambar orientalis Mill resin extracts for cytotoxicity, iNOS inhibition and the antioxidant activity as an alternative therapeutic approach for traditional uses. The results demonstrated that Liquidambar orientalis dichloromethane resin extracts showed strongest cytotoxic effect while all extracts except methanolic extracts exhibited moderate iNOS inhibition. All extracts other than hexane have a potent antioxidant effect in the cellular-based assay. In conclusion, further studies should focus on the purification of the active components of this extracts and to investigate the possible mode of action to obtain a better understanding of their potential use as cytotoxic, anti-inflammatory and antioxidant agents.
Reliability of Analytical Methods for Recombinant Human Insulin Quantification in the Bulk Crystals and in-Process Control

The aim of this study was to demonstrate the reliability of the protein determination methods used in the process of recombinant human insulin development before its scale up. The total protein content was measured by Bradford, molar extinction coefficient, and dry weight methods. The standards were analyzed using Mono-Q, Aquapore RP300, and Kromasil columns to calculate the concentrations of the proteins using the theoretical extinction coefficient and peak area. The following highly purified standards were used: batches B4-258 and QS009-010 of sulfonated fusion protein; batches B4-267, B4-268, RALF-018, HGUT-042, HGUT-043, and HGUT-045 of renatured fusion protein; the United States Pharmacopeia reference; and batch B4-253 of bulk insulin crystals. The results were analyzed using ANOVA or Studentâ€™s t-test at 95 % significance. The Bradford method showed up to 60 % variation for all evaluated standards, while the remaining two methods were consistent with each other. The chromatographic parameters were used to validate the analytical methods, and all results met the current guidelines of Brazilian regulatory agencies. The use of quality parameters and the statistical evaluation of the data demonstrated that analytical methods used in the in-process control are suitable for the intended purpose, which certifies the reliability of the generated data.
A Comprehensive Evaluation of Cue-Words based Features and In-text Citations based Features for Citation Classification

Citation plays a vital role in the scientiﬁc community of evaluating the contributions of scientiﬁc authors. Citing sources delivers a measurable way of evaluating the impact factor of journals and authors and allows for the recognition of new research issues. Different techniques for classifying citations have been proposed. Citations that provide background knowledge in the citing document have been classified as non-important or incidental by previous researchers. Citations that extend previous work in the citing document are classified as important. The accuracy achieved by existing citation models is not much higher. Better features need to be included for accurate predictions. A hybrid approach would present all possible combinations of cue-words and in-text citation-based features for citation classiﬁcations.
FOAMING OF BITUMEN – A KEY PROCESS FOR DIFFERENT LOW TEMPERATURE ASPHALTS

To reduce the energy consumption and CO2 emissions during asphalt production, several technologies have been developed during the last years. One of these technologies is the reduction of the asphalt mixing temperature by using foamed bitumen. Foaming the bitumen reduces the binder viscosity temporarily and increases the volume as well. Homogenous foams are produced by injection and mixing of water into hot bitumen. Therefore the key component for the foaming process on the asphalt mixing plant is the foam generator. At present two principles are widely used: mixing chambers and plug flow reactors. The feasibility of producing warm mix asphalt on a conventional batch plant equipped with a plug flow foam generator was proofed in a field trial. The temperature reduced W-ecophalt® asphalt mixture was produced at 115°C with a process based on a two phase system resulting in a complete coverage of the aggregates. Asphalt production and laying was attended and analysed. Mechanical properties equivalent to conventional hot mix asphalt were found.
INSTITUT FÜR INFORMATIK Tight WCRT Analysis of Synchronous C Programs

Accurate estimation of the tick length of a synchronous program is essential for efficient and predictable implementations that are devoid of timing faults. The techniques to determine the tick length statically are classified as worst case reaction time (WCRT) analysis. While a plethora of techniques exist for worst case execution time (WCET) analysis of procedural programs, there are only a handful of techniques for determining the WCRT value of synchronous programs. Most of these techniques produce overestimates and hence are unsuitable for the design of systems that are predictable while being also efficient. In this paper, we present an approach for the accurate estimation of the exact WCRT value of a synchronous program, called its tight WCRT value, using model checking. For our input specifications we have selected a synchronous C based language called PRET-C that is designed for programming Precision Timed (PRET) architectures. We then present an approach for static WCRT analysis of these programs via an intermediate format called TCCFG. This intermediate representation is then compiled to produce the input for the model checker. Experimental results that compare our approach to existing approaches demonstrate the benefits of the proposed approach. The proposed approach, while presented for PRET-C is also applicable for WCRT analysis of Esterel using simple adjustments to the generated model. The proposed approach thus paves the way for a generic approach for determining the tight WCRT value of synchronous programs at compile time.
5 Manipulation and Control

The use of robotic systems for planetary exploration has been successfully shown in recent years with outstanding examples such as the Mars rovers Opportunity, Spirit, and Curiosity. While the first phase of planetary exploration tends to deal with “passive” in situ exploration of unknown areas by using cameras, measuring values of the atmosphere by using onboard instruments, and so on, the relevant scientific experiments can be performed as soon as samples (such as soil or rocks) can be analyzed either by bringing them back to Earth or by analyzing them in situ. In either case, the rover is required to have the ability to gather samples, drill into the rocks, or bring the samples to the rover’s onboard scientific instruments in order to get themanalyzed; hence, roboticmanipulation is an importance functionality in these missions. In case of advanced missions such as to establish extraterrestrial outposts on theMoon, the robots need to be equipped with one or several manipulators to be able to grasp, transport, and assemble infrastructure. This section reviews current and existing robotic manipulation systems for planetary exploration. The rest of the chapter discusses relevant design requirements, specifications, and procedures, describes underlining technologies such as dynamical and motion control of robotic arms, and presents various future needs and directions in this area.