Miracle-dz/UniFAR-FTUs huggingface dataset:
Biological Activities and Chemical Composition of Methanolic Extracts of Selected Autochthonous Microalgae Strains from the Red Sea

Four lipid-rich microalgal species from the Red Sea belonging to three different genera (Nannochloris, Picochlorum and Desmochloris), previously isolated as novel biodiesel feedstocks, were bioprospected for high-value, bioactive molecules. Methanol extracts were thus prepared from freeze-dried biomass and screened for different biological activities. Nannochloris sp. SBL1 and Desmochloris sp. SBL3 had the highest radical scavenging activity against 1,1-diphenyl-2-picrylhydrazyl, and the best copper and iron chelating activities. All species had potent butyrylcholinesterase inhibitory activity (>50%) and mildly inhibited tyrosinase. Picochlorum sp. SBL2 and Nannochloris sp. SBL4 extracts significantly reduced the viability of tumoral (HepG2 and HeLa) cells with lower toxicity against the non-tumoral murine stromal (S17) cells. Nannochloris sp. SBL1 significantly reduced the viability of Leishmania infantum down to 62% (250 µg/mL). Picochlorum sp. SBL2 had the highest total phenolic content, the major phenolic compounds identified being salicylic, coumaric and gallic acids. Neoxanthin, violaxanthin, zeaxanthin, lutein and β-carotene were identified in the extracts of all strains, while canthaxanthin was only identified in Picochlorum sp. SBL2. Taken together, these results strongly suggest that the microalgae included in this work could be used as sources of added-value products that could be used to upgrade the final biomass value.
An interface diversified honeypot for malware analysis

Defending information systems against advanced attacks is a challenging task; even if all the systems have been properly updated and all the known vulnerabilities have been patched, there is still the possibility of previously unknown zero day attack compromising the system. Honeypots offer a more proactive tool for detecting possible attacks. What is more, they can act as a tool for understanding attackers intentions. In this paper, we propose a design for a diversified honeypot. By increasing variability present in software, diversification decreases the number of assumptions an attacker can make about the target system.
m-Organized Retention and Cued Recall ' Endel Tulving

EVER SINCE Hermann Ebbiwhaus (1885) brought phenomena of memory under experimental scrutiny in the psychological laboratory and William James (1890) eloquently epitomized the distilled wisdom of other great thinkers on the subject, research on remembering and forgetting has b e e n growing by leaps and bounds. Everyone agrees that this research has by now produced an immensequantity of empirical data, but few a r e willing to claim that i t has created any genuine novel conceptual insights. More often than not, new empiricalfindings have generated more heat than light a t the thearetica l level. Thus, despite everything we believe we know about the role of a multitude of experimentally manipllable variables on verballearning, retention, and recall, we seem to be no nearer to the u n d e r standing of the basic nature of m e m o r y than were psychologists and other writers of previous generations. If Someone asked us today what do we know that is truly worth knowing and that was n o t known to Ehbinghaus and James, we wouldbe hard pressed to provide a convincing answer.
Full Discretisations of utt = uxx and Rational Approximations to $\cosh \mu z$

The following symmetric full discretisations S S bi b (2) U'1+ + a, ( 2) Uln1+j + E b(A 2) U,1 =0 j=-s ~~j=-s j=-s for the solution of u,= u, are investigated. By studying rational approximations to cosh ,uz and using order star techniques, thre maximal theoretical order of accuracy is shown to be p _ 2(s + S). This bound is achieved by Pade schemes. Furthermore, the explicit Pade schemes, s = 0, are derived exactly and demonstrated to be stable for 0 < ,u < 1. In the general case, S > 0, stability for small ,u is proved by consideration of some associated semidiscretisations.
OBSERVATION OF THE FIRST-ORDER RAMAN SCATTERING IN SRTIO3 THIN FILMS

We have studied lattice dynamic properties of SrTiO3 thin films from 5 to 300 K using metaloxide bilayer Raman scattering. First-order zone-center optical phonons, symmetry forbidden in single crystals, have been observed in the thin films, indicating strain-induced lowering of symmetry. The asymmetric line shape of the TO2 phonon is interpreted as evidence for micropolar regions in the thin films, likely due to oxygen vacancies. The optical phonon lines and the asymmetry persist up to room temperature. [S0031-9007(99)09277-7]
Models of memory scheduling

Queueing theoretic models of single and multi-processor computer systems have received wide attention in the computer science literature. Few of these models consider the effect of finite memory size of a machine and its impact on the memory scheduling problem. In an effort to formulate an analytical model for memory scheduling we propose four simple models and examine their characteristics using simulation. In this paper, we discuss some interesting results of these simulations.
Design of a wheel-propeller-leg integrated amphibious robot

The operation capabilities of robot in the amphibious environments (such as shallow water fields, surf zones, and beaches) are critical for military and civilian. In this paper, we introduce a novel amphibious robot with wheel-propeller-leg integrated driving devices, developed by Shenyang Institute of Automation, which can realize both crawling locomotion on the ground and swimming locomotion in the water without changing its driving devices. This paper describes the design of the overall robot structure, the design of the novel driving devices, and the design of the embedded control system, respectively. All the driving devices of the robot are driven by independent motor, thus the amphibious robot can conveniently switch its locomotion modes according to the operational environments. The embedded control system is a distributed control system based on CAN bus, which makes it is easy to expend sensors and devices for the robot in the future. Finally, the hydrodynamic performances of the wheel-propeller device are analyzed by using CFX hydrodynamic calculation software, and some primary experiments have been done for verifying the fundamental locomotion functions of the robot.
Two Half-Sandwiched Ruthenium (II) Compounds Containing 5-Fluorouracil Derivatives: Synthesis and Study of DNA Intercalation

Two novel coordination compounds of half-sandwiched ruthenium(II) containing 2-(5-fluorouracil)-yl-N-(pyridyl)-acetamide were synthesized, and their intercalation binding modes with calf thymus DNA were revealed by hyperchromism of ultraviolet-visible spectroscopy; the binding constants were determined according to a Langmuir adsorption equation that was deduced on the base of careful cyclic voltammetry measurements. The two compounds exhibited DNA intercalation binding activities with the binding constants of 1.13×106 M-1 and 5.35 ×105 M-1, respectively.
Estimating the load response to voltage changes at UK primary substations

The development of Smart Grid technologies and the need to defer investments for expanding and reinforcing distribution networks have attracted new attention to aspects of Conservation Voltage Reduction (CVR). Based on the fact that the demand of certain loads can change with voltage, it is plausible to envisage the active management of voltage regulation devices in order to increase/decrease the demand during certain periods for the benefit of the distribution network (e.g., peak shaving) or the whole system (e.g., fast reserves). The extent of this voltage-driven demand response is however entirely dependent on the instantaneous load composition. In order to quantify the benefits of such a scheme, this work proposes a methodology to estimate the time-varying residential load response to primary substation voltage changes whilst complying with voltage limits at low voltage. This is applied to a small UK distribution network downstream an OLTC-enabled 33 kV/6.6 kV substation with 351 residential, 2 commercial and 1 industrial customers (total peak demand of 932 kW). The results, only considering part of the residential loads modeled with time-varying ZIP parameters, suggest that - even considering voltage constraints- there is considerable load response that can be unlocked from residential loads. However, this is highly dependent on the time of the day.
An Empirical Study of Figurative Competence of Chinese EFL Learners

Figurative language, which has drawn increasing attention from applied linguists over the decade, plays an indispensable role in language learning and proves particularly challenging for language learners. However, few attempts have been made to thoroughly investigate learners’ difficulties with figurative language so far. This paper aims to investigate, through an exploratory study involving a cohort of 63 subjects, Chinese EFL learners’ knowledge of figurative language, their difficulties as well as the sources of their difficulties. The learners took an in-class quiz on figurative expressions motivated by three different cognitive mechanisms (i.e., metaphor, metonymy and world knowledge). All the data were analyzed in order to explore the overall patterns of the learners’ figurative competence, the differences between good and poor learners and the relationships between figurative competence and overall English proficiency. It is found that the learners had the least difficulty with figurative expressions based on metonymy, but the greatest difficulty with those based on world knowledge, that huge differences existed between good and poor learners in their figurative competence, that metonymy-motivated figurative competence was positively correlated with overall language proficiency, almost at the . 05 significance level.
Ion Sponge: A 3-Dimentional Array of Quadrupole Ion Traps for Trapping and Mass-Selectively Processing Ions in Gas Phase

In this study, the concept of ion sponge has been explored for developing 3D arrays of large numbers of ion traps but with simple configurations. An ion sponge device with 484 trapping units in a volume of 10 × 10 × 3.2 cm has been constructed by simply stacking 9 meshes together. A single rf was used for trapping ions and mass-selective ion processing. The ion sponge provides a large trapping capacity and is highly transparent for transfer of ions, neutrals, and photons for gas phase ion processing. Multiple layers of quadrupole ion traps, with 121 trapping units in each layer, can operate as a single device for MS or MS/MS analysis, or as a series of mass-selective trapping devices with interlayer ion transfers facilitated by AC and DC voltages. Automatic sorting of ions to different trapping layers based on their mass-to-charge (m/z) ratios was achieved with traps of different sizes. Tandem-in-space MS/MS has also been demonstrated with precursor ions and fragment ions trapped in separate locations.
Different Ways to Write Digital Audio Effects Programs

This paper is a very basic one, where one tries to explain how one can write a digital audio effect in a non-real time situation with a very general mathematical language such as MATLAB, and how such digital audio effects can be used in the real li fe. 1 What is a digital audio effect? The term « digital audio effects » has been used as an acronym for the COST action G6. So what is a digital audio effect? audio-effect input output
Use of Ontologies for Knowledge Representation of a Film Scene

In the present paper we explore ontologies, as a means to capture knowledge of the film-making domain. More specifically, we intend to open a discussion so as to guide the development of DirectorNotation, an under-development open-source tool for representing media content, as of its pre-production and production phases, using a symbolic notation system, in which a film director can formally record his intentions. DirectorNotation's authors suggest ontologies for formalizing and reasoning over their notation system. The current paper discusses this technical choice, considering its limitations, and makes suggestions about the work that needs to be performed if these limitations are to be overcome.
Study of Adjustable Gains for Control of Oscillation Frequency and Oscillation Condition in 3R-2C Oscillator

An idea of adjustable gain in order to obtain controllable features is very useful for design of tunable oscillators. Several active elements with adjustable properties (current and voltage gain) are discussed in this paper. Three modified oscillator conceptions that are quite simple, directly electronically adjustable, providing independent control of oscillation condition and frequency were designed. Positive and negative aspects of presented method of control are discussed. Expected assumptions of adjustability are verified experimentally on one of the presented solutions.
A scalable snoopy coherence scheme on distributed shared-memory multiprocessors

The authors present a scalable snoopy scheme based on a single-hop-connected multiple-bus topology. To reduce the hardware complexity, each processor will snoop on a dynamically changing subset of the buses. The physically-distributed-logically-shared memory model is chosen to let processors take advantage of local memory accesses for private data. The proposed scheme can enjoy fast memory access and can also take advantage of greater scalability. At the same time, the number of transceivers can grow naturally with the number of processors in the system. Comparing this solution with the directory schemes and the traditional snoopy coherent schemes indicates that the performance of the scheme is promising. <<ETX>>
Prioritized motion-force control of multi-constraints for industrial manipulators

To synthesize whole-body behaviors interactively, multiple tasks and constraints need to be simultaneously satisfied, including those that guarantee the constraints imposed by the robot's structure and the external environment. In this paper, we present a prioritized, multiple-task control framework that is able to control forces in systems ranging from humanoids to industrial robots. Priorities between tasks are accomplished through null-space projection. Several relevant constraints (i.e., motion constraints, joint limits, force control) are tested to evaluate the control framework. Further, we evaluate the proposed approach in two typical industrial robotics applications: grasping of cylindrical objects and welding.
The Effect of Corporate Governance Elements on Corporate Social Responsibility (CSR) Disclosure: An Empirical Evidence from Listed Companies at KSE Pakistan

The purpose of this study is to investigate the potential effects of corporate governance (CG) elements on corporate social responsibility (CSR) disclosure. The annual reports of companies for the year 2007–2011 are examined to analyze the relationship between CG and CSR reporting. It considers the elements of CG such as board size, independent directors, foreign nationalities and women representation in the board, ownership concentration, institutional ownership, firm size and profitability. The multiple regression technique is used to measure the impact of CG elements on companies’ CSR reporting. The results of the study demonstrate that overall CSR reporting by Pakistani companies are rather moderate however, the assortments of CSR items are really impressive. The study found positive and significant impact from board size, institutions ownership, ownership concentration and firm size on CSR reporting. The results also display contrary relationships between the women and foreign director’s representation in the board and CSR reporting. This study suggests that organizations should audit their CG activities related to CSR in order to prove themselves good corporate citizens to all stakeholders.
Selective local PMN recruitment by CXCL1 or CXCL2/3 injection does not cause inflammatory pain

Polymorphonuclear cells (PMN) are recruited in early inflammation and are believed to contribute to inflammatory pain. However, studies demonstrating a hyperalgesic role of PMN did not examine selective PMN recruitment or did not document effective PMN recruitment. We hypothesized that hyperalgesia does not develop after chemokine‐induced PMN selective recruitment and is independent of PMN infiltration in complete Freund's adjuvant (CFA)‐induced, local inflammation. PMN were recruited by intraplantar injection of CXC chemokine ligand 1 (CXCL1; keratinocyte‐derived chemokine), CXCL2/3 (macrophage inflammatory protein‐2), or CFA, with or without preceding systemic PMN depletion. Chemokine inoculation resulted in dose (0–30 μg)‐ and time (0–12 h)‐dependent, selective recruitment of PMN as quantified by flow cytometry. CXCL2/3, but not CXCL1, was less effective at high doses, probably as a result of significant down‐regulation of CXC chemokine receptor 2 expression on blood PMN. Neither chemokine caused mechanical or thermal hyperalgesia as determined by the Randall‐Selitto and Hargreaves test, respectively, despite comparable expression of activation markers (i.e., CD11b, CD18, and L‐selectin) on infiltrating PMN. In contrast, CFA injection induced hyperalgesia, independent of PMN recruitment. c‐Fos mRNA and immunoreactivity in the spinal cord were increased significantly after inoculation of CFA‐independent of PMN‐migration but not of CXCL2/3. Measurement of potential hyperalgesic mediators showed that hyperalgesia correlated with local prostaglandin E2 (PGE2) but not with interleukin‐1β production. In summary, hyperalgesia, local PGE2 production, and spinal c‐Fos expression occur after CFA‐induced inflammation but not after CXCL1‐ or CXCL2/3‐induced, selective PMN recruitment. Thus, PMN seem to be less important in inflammatory hyperalgesia than previously thought.
Active Constrained Clustering via non-iterative uncertainty sampling

Active Constraint Learning (ACL) is continuously gaining popularity in the area of constrained clustering due to its ability to achieve performance gains via incorporating minimal feedback from a human annotator for selected instances. For constrained clustering algorithms, such instances are integrated in the form of Must-Link (ML) and Cannot-Link (CL) constraints. Existing iterative uncertainty reduction schemes, introduce high computational burden particularly when they process larger datasets that are usually present in computer vision and visual learning applications. For scenarios that multiple agents (i.e., robots) require user feedback for performing recognition tasks, minimizing the interaction between the user and the agents, without compromising performance, is an essential task. In this study, a non-iterative ACL scheme with proven performance benefits is presented. We select to demonstrate the effectiveness of our methodology by building on the well known K-Means algorithm for clustering; one can easily extend it to alternative clustering schemes. The proposed methodology introduces the use of the Silhouette values, conventionally used for measuring clustering performance, in order to rank the degree of information content of the various samples. In addition, an efficient greedy selection scheme was devised for selecting the most informative samples for human annotation. To the best of our knowledge, this is the first active constrained clustering methodology with the ability to process computer vision datasets that this study targets. Performance results are shown on various computer vision benchmarks and support the merits of adopting the proposed scheme.
Korrektur transienter Fehler in eingebetteten Speicherelementen

In der vorliegenden Arbeit wird ein Schema zur Korrektur von transienten Fehlern in eingebetteten, pegelgesteuerten Speicherelementen vorgestellt. Das Schema verwendet Strukturund Informationsredundanz, um Single Event Upsets (SEUs) in Registern zu erkennen und zu korrigieren. Mit geringem Mehraufwand kann ein betroffenes Bit lokalisiert und mit einem hier vorgestellten Bit-FlippingLatch (BFL) rückgesetzt werden, so dass die Zahl zusätzlicher Taktzyklen im Fehlerfall minimiert wird. Ein Vergleich mit anderen Erkennungsund Korrekturschemata zeigt einen deutlich reduzierten Hardwaremehraufwand.
Assessing Reliability on Annotations (2): Statistical Results for the deikon Scheme

This is the second part of a two-report mini-series focussing on issues in the evaluation of annotations. In this empirically-oriented report we lay out the documentation of the annotation scheme used in the deikon project, discuss the results obtained in a respective reliability study and conclude with some suggestions regarding forthcoming versions of the scheme. Relevant statistical background, theoretical considerations in reliability statistics and an evaluation of some pertaining approaches are given in the ﬁrst, more theoretically-oriented report [Stegmann and L¨ucking, 2005]. The following points are dealt with in detail here: we describe the setting that was used to elicit the empirical data. The annotation scheme that is put to scrutiny is documented and exempliﬁed. Aspects of our theoretical work in linguistics are mentioned en passant . Then we present, discuss, and interpret the actual results obtained for our scheme. We ﬁnd a high degree of correlation on the exact placement of time-stretched entities (word and gesture phase boundaries), mildly good results pertaining to agreement concerning time-related categories that appeal to structural conﬁgurations (e. g. the position of a gesture with respect to the parts of accompanying speech), but rather weak agreement with respect to the determination of gesture function. Therefore, the results for time-based type-i data look more promising than those obtained for the more theoretically-framed type-ii categories. However, the type-i results must not be compared with the type-ii ones on superﬁcial grounds, since the statistics are of a diﬀerent kind (correlation vs. agreement, i. e. not chance-adjusted vs. chance-adjusted) and, hence, the results have to be interpreted in diﬀerent terms, respectively. Finally, we discuss some issues in the future make-up of the annotation scheme with a focus on its dialogue parts. Our respective suggestions amount to a shift towards a more theory-oriented annotation.
Optimizing Geometry-aware Pants Decomposition

We present a computational framework to optimize the pants d ecomposition of surfaces with non-trivial topology. A pants decomposition segments a surface into a set of sub-pa tches each of which is genus-0 with 3 boundaries. A given surface usually admits infinitely-many pants decomp ositions that are topologically inequivalent. Given some pre-determined geometric criteria, our algorithm enu merates different classes of pants decompositions and search for the optimal one. The proposed framework is genera l, and can be used to generate different suitable segmentations according to different applications. We als o generalize our algorithm for consistent decomposition of multiple surfaces. This algorithm can be used in construc ting compatible cross-surface mapping, and facilitate many computer graphics tasks.
Nonsmooth Finite-Time Control of Uncertain Affine Planar Systems

Nonsmooth finite-time stabilizing control laws have been developed for the double integrator system. The objective of this paper is to further explore the finite-time tracking control problem of a general form of uncertain second-order affine nonlinear system with the new forms of terminal sliding mode (TSM). Discontinuous and continuous finite-time controllers are also developed respectively without the singularity problem. Complete robustness can be acquired with the former, and enhanced robustness compared with the conventional boundary layer method can be expressed as explicit bounded function with the latter. Simulation results on the stabilizing and tracking problems are presented to demonstrate the effectiveness of the control algorithms