Miracle-dz/UniFAR-FTUs huggingface dataset:
Aalborg Universitet Content Recommendation for Viral Social Influence

How do we create content that will become viral in a whole network after we share it with friends or followers? Signi cant research activity has been dedicated to the problem of strategically selecting a seed set of initial adopters so as to maximize a meme’s spread in a network. This line of work assumes that the success of such a campaign depends solely on the choice of a tunable seed set of adopters, while the way users perceive the propagated meme is xed. Yet, in many real-world settings, the opposite holds: a meme’s propagation depends on users’ perceptions of its tunable characteristics, while the set of initiators is xed. In this paper, we address the natural problem that arises in such circumstances: Suggest content, expressed as a limited set of attributes, for a creative promotion campaign that starts out from a given seed set of initiators, so as to maximize its expected spread over a social network. To our knowledge, no previous work addresses this problem. We nd that the problem is NP-hard and inapproximable. As a tight approximation guarantee is not admissible, we design an e cient heuristic, Explore-Update, as well as a conventional Greedy solution. Our experimental evaluation demonstrates that Explore-Update selects near-optimal attribute sets with real data, achieves 30% higher spread than baselines, and runs an order of magnitude faster than the Greedy solution. ACM Reference format: Sergei Ivanov, Konstantinos Theocharidis, Manolis Terrovitis1, and Panagiotis Karras. 2017. Content Recommendation for Viral Social In uence. In Proceedings of SIGIR ’17, August 7–11, 2017, Shinjuku, Tokyo, Japan, ,
Coordinating the motion of multiple AGVs in automatic warehouses

In this paper an algorithm for planning a coordinated motion of a fleet of Autonomous Guided Vehicles (AGVs) delivering goods in an automatic warehouse is proposed. The AGVs travel along a common segmented layout and a path is assigned to each robot by a mission planner. Coordination diagrams are used for representing possible collisions among the robots and a novel algorithm for efficiently determining a coordinated motion of the fleet is proposed. The coordination approach proposed in the paper is validated through experiments on real plants layouts. We present an example in which the coordinated motion of 10 vehicles is computed in only 12.4 sec. on a common PC.
β‐Scorpion toxin effects suggest electrostatic interactions in domain II of voltage‐dependent sodium channels

β‐Scorpion toxins specifically modulate the voltage dependence of sodium channel activation by acting through a voltage‐sensor trapping model. We used mutagenesis, functional analysis and the action of β‐toxin as tools to investigate the existence and role in channel activation of molecular interactions between the charged residues of the S2, S3 and S4 segments in domain II of sodium channels. Mutating to arginine the acidic residues of the S2 and S3 transmembrane segments in domain II, or making charge‐reversal mutation of the two outermost gating charges of the IIS4 voltage sensor, shifts the voltage dependence of channel activation to more positive potentials and enhances the effect of β‐scorpion toxin. Thus, mutations of acidic residues in IIS2 and IIS3 segments are able to promote voltage‐sensor trapping in a way that is similar to the mutations of the arginines in the IIS4 segment. In order to disclose the network of interactions among acidic and basic residues we performed functional analysis of charge‐inversion double mutants: our data suggest that the first arginine of the voltage sensor S4 in domain II (R850) interacts specifically with E805, D814 and E821 in the S2 and S3 segments, whereas the second arginine (R853) only interacts with D827 in the S3 segment. Our results suggest that the S2, S3 and S4 segments in domain II form a voltage‐sensing structure, and that molecular interactions between the charged residues of this structure modulate the availability of the IIS4 voltage sensor for trapping by β‐toxins. They also provide unique insights into the molecular events that occur during channel activation, as well as into the structure of the channel.
The role of sulfur and heavier chalcogens in the chemistry of antioxidants

Abstract Sulfur chemistry plays a central role in cellular redox homeostasis and cysteine-derived antioxidants like glutathione are the most abundant in biological systems. Inspired by Nature, the insertion of divalent sulfur as a substituent in phenolic antioxidants, e.g in thiatocopherol, seeking for improved antioxidant performance, has been an important strategy for long time. Replacement of sulfur with heavier chalcogens like Selenium and Tellurium has brought to even more performing antioxidants, able to quench peroxyl radical in a catalytic fashion and to express unusually high reactivity. On the other hand, natural bioactive compounds like plant-derived thiosulfinates (R-S(O)S-R) own their exceptional antioxidant properties to the ability of releasing sulfenic acids, whose antioxidant behavior has only recently been clarified. The chemistry and redox properties of unstable sulfenic acids (R-SOH), and analogous selenenic acids (R-SeOH) have also recently been elucidated, to better understand the properties of chalcogen-based natural antioxidants, and to develop novel bio-inspired compounds. This fascinating chemistry will be reviewed and the most significant achievement will be presented. Graphical Abstract
p53-dependent Induction of Apoptosis by Proteasome Inhibitors*

Proteolysis by the ubiquitin/proteasome pathway controls the intracellular levels of a number of proteins that regulate cell proliferation and cell cycle progression. To determine whether this pathway of protein turnover was also linked to apoptosis, we treated Rat-1 and PC12 cells with specific proteasome inhibitors. The peptide aldehydes PSI and MG115, which specifically inhibit the chymotrypsin-like activity of the proteasome, induced apoptosis of both cell types. In contrast, apoptosis was not induced by inhibitors of lysosomal proteases or by an alcohol analog of PSI. The tumor suppressor p53 rapidly accumulated in cells treated with proteasome inhibitors, as did the p53-inducible gene products p21 and Mdm-2. In addition, apoptosis induced by proteasome inhibitors was inhibited by expression of dominant-negative p53, whereas overexpression of wild-type p53 was sufficient to induce apoptosis of Rat-1 cells in transient transfection assays. Although other molecules may also be involved, these results suggest that stabilization and accumulation of p53 plays a key role in apoptosis induced by proteasome inhibitors.
Symmetrical triple-threshold-voltage nine-transistor SRAM circuit with superior noise immunity and overall electrical quality

Data stability is a major concern in today's high performance memory circuits with deeply scaled transistors and power supply voltages. Multi-threshold-voltage (multi-Vt) nine-transistor (9T) Static Random Access Memory (SRAM) cells with enhanced data stability and superior overall electrical quality characteristics are presented in this paper. 9T SRAM cells eliminate the data disturbance by isolating the bitlines from data storage nodes during read operations. The design tradeoffs of 9T multi-Vt SRAM cells are explored with a TSMC 65nm CMOS technology that provides a rich set of device threshold voltage options. A triple-threshold-voltage 9T memory cell offers up to 9.7X higher overall electrical quality as compared to a previously published single-threshold-voltage 9T SRAM cell.
Molecular Techniques : Aplication to the Analysis of Microbial Communities Colonising Art Works and to the Monitoring of Changes . Case Study : Wall Paintings of the Castle of Herberstein

Microorganisms can be responsible for the destruction of cultural heritage, together with several environmental conditions, ageing and the chemical structure of substrate. There is a number of reviews giving a comprehensive picture of the role of microorganisms in the degradation of art objects, such as paintings, stone, wood, paper, masonry, leather, parchment, glass and metal (Bock and Sand, 1993; Cifferi, 1999; Griffin et al., 1991).
The Direction Cosine Matrix Algorithm in Fixed-point: Implementation and Analysis

Inertial navigation allows tracking and updating the position and orientation of a moving object based on accelerometer and gyroscope data without external positioning aid, such as GPS. Therefore, inertial navigation is an essential technique for, e.g., indoor positioning. As inertial navigation is based on integration of acceleration vector components, computation errors accumulate and make the position and orientation estimate drift. Even though maximum computation precision is desired, also efficiency needs consideration in the age of Internet-of-Things, to enable deployment of inertial navigation based applications to the smallest devices. This work formulates the Direction Cosine Matrix update algorithm, a central component for inertial navigation, in fixed-point and analyzes its precision and computation load compared to a regular floating-point implementation. The results show that the fixed-point version maintains very high precision, while requiring no floating point hardware for operation. The paper presents execution time results on three very different embedded processors.
Nonlinear Image Upsampling Method Based on Radial Basis Function Interpolation

In this paper, we present a novel edge-directed upsampling method based on radial basis function (RBF) interpolation. In order to remove artifacts such as blurred edges or blocking effects, we suggest a nonlinear method capable of taking edge information into account. The resampling evaluation is determined according to the edge orientation. The proposed scheme is as simple to implement as linear methods but it demonstrates improved visual quality by preserving the edge features better than the classical linear interpolation methods. The algorithm is compared with some well-known linear schemes as well as recently developed nonlinear schemes. The resulting images demonstrate the new algorithm's ability to magnify an image while preserving the edge features.
Kinetics of Chemokine–Glycosaminoglycan Interactions Control Neutrophil Migration into the Airspaces of the Lungs

Chemokine–glycosaminoglycan (GAG) interactions are thought to result in the formation of tissue-bound chemokine gradients. We hypothesized that the binding of chemokines to GAGs would increase neutrophil migration toward CXC chemokines instilled into lungs of mice. To test this hypothesis we compared neutrophil migration toward recombinant human CXCL8 (rhCXCL8) and two mutant forms of CXCL8, which do not bind to heparin immobilized on a sensor chip. Unexpectedly, when instilled into the lungs of mice the CXCL8 mutants recruited more neutrophils than rhCXCL8. The CXCL8 mutants appeared in plasma at significantly higher concentrations and diffused more rapidly across an extracellular matrix in vitro. A comparison of the murine CXC chemokines, KC and MIP-2, revealed that KC was more effective in recruiting neutrophils into the lungs than MIP-2. KC appeared in plasma at significantly higher concentrations and diffused more rapidly across an extracellular matrix in vitro than MIP-2. In kinetic binding studies, KC, MIP-2, and rhCXCL8 bound heparin differently, with KC associating and dissociating more rapidly from immobilized heparin than the other chemokines. These data suggest that the kinetics of chemokine–GAG interactions contributes to chemokine function in tissues. In the lungs, it appears that chemokines, such as CXCL8 or MIP-2, which associate and disassociate slowly from GAGs, form gradients relatively slowly compared with chemokines that either bind GAGs poorly or interact with rapid kinetics. Thus, different types of chemokine gradients may form during an inflammatory response. This suggests a new model, whereby GAGs control the spatiotemporal formation of chemokine gradients and neutrophil migration in tissue.
Clutter Removal in Sub-Nyquist Radar

Recently, a new approach to sub-Nyquist sampling and processing in pulse-Doppler radar was introduced, based on the Xampling approach to reduced-rate sampling combined with Doppler focusing performed on the low-rate samples. This method imposes no restrictions on the transmitter, reduces both the sampling and processing rates and exhibits linear signal-to-noise ratio improvement with the number of pulses. Here we extend previous work on sub-Nyquist pulse-Doppler radar by incorporating a clutter removal algorithm operating on the sub-Nyquist samples, allowing to reject clutter modeled as a colored Gaussian random process. In particular, we show how to adapt standard clutter rejection techniques to work directly on the sub-Nyquist samples, allowing to preserve high detection rates even in the presence of strong clutter, while avoiding the need to first interpolate the samples to the Nyquist grid.
MAC performance of IEEE 802.16e

I n this paper, for the first time ,w e evaluate the impact of different parameters, such as MAC frame size, MAC protocol data unit (PDU) size, and number of connections on MAC performance of IEEE 802.16e. Our results show that contrary to the common belief, frame packing; i.e., aggregating more than one MAC PDU in a single frame, yields minimal improvements for aggregated frame sizes greater than 1500 bytes. Our results also show that if the number of connections increases from 1 to 50 in a non-sectorized cell, MAC efficiency drops by approximately 40%. Since increasing the number of connections implies an increase in the number of information elements (IE); i.e., feedback/control information, one has to find ways to reduce MAC overhead by reducing or combining IEs in an intelligent way.
Murine PGK‐1 promoter drives widespread but not uniform expression in transgenic mice

Pgk‐1 is an X‐linked gene encoding 3‐phosphoglycerate kinase, an enzyme necessary in every cell for glycolysis. The regulatory sequences of the Pgk‐1 gene were used to drive the E. coli lacZ reporter gene and 2 strains of transgenic animals created with this Pgk‐lacZ transgene carried on autosomes. The levels of expression of Pgk‐1 varied from one adult tissue to another and the transgene was similarly regulated. However, in situ staining of the β‐galactosidase encoded by the transgene indicated extensive cell‐to‐cell variability in its level of expression. A reproducible subset of cells stained darkly for the transgene product. Some of these β‐galactosidase positive cells were rapidly proliferating while others appeared to be metabolically very active, suggesting that the Pgk‐1 promoter is regulated so as to be more active in cells requiring high levels of glycolysis. Although Pgk‐1 is X‐linked and subject to X chromosome inactivation, the transgenes were not inactivated in either female somatic or male germ cells. Thus, the Pgk‐1 promoter drives transgene expression in all tissues but the levels of expression are not uniform in each cell. © 1994 Wiley‐Liss, Inc.
Use of Salines Waters and Biofertilizers in Quality of the Seedlings From Passiflora edulis Evaluated by the Dry Phytomass

The objective of this study was to evaluate the effects of the biofertilizers (common and enriched) in substrate irrigated with saline waters on the quality of the seedlings evaluated by the phytomass from yellow Passiflora edullis. In this sense, an experiment was carried in a greenhouse at the Center of Agricultural Sciences and Biodiversity CCAB/UFCA, Crato-CE, from October/2017 to March/2018. The substrate used was a material of the first 20 cm to depth of a Red Yellow Latosol. The experimental design was completely randomized in a factorial scheme of type 5 × 3, with three replications, referring to the electrical conductivity values of the irrigation water: 0.5; 1.0; 2.0; 3.0 and 4.0 dS m-1, in the soil without the bovine biofertilizer; in treatments with common biofertilizer and, evaluated in the soil with enriched biofertilizer, conditioned in black polyethylene bags with it a maximum capacity of 5.0 kg, totaling 60 treatments. The fermented bovine biofertilizer after dilution in non-saline and non-chlorinated water (0.5 dS m-1), in the proportion of 1:3, was applied only once to 10% of the substrate volume, two days before sowing. The salinity increase of the irrigation water affected negatively the phytomass production, but with less intensity in the treatments with enriched biofertilizer. The enriched and common biofertilizer provided higher growth and consequently higher phytomass production of passion fruit seedlings in relation to the soil without the respective input, independently of the level of salinity of irrigation water.
Image-based clustering analysis of massive vehicle networking data

In order to make full use of the massive vehicle networking data and dig out the characteristics of the vehicle driving behaviors, the analysis of the massive vehicle networking data is indispensable. And clustering analysis is an effective way to extract the information which can guide and supervise the vehicles. In this paper, we propose a novel initial clustering center selection algorithm based on the image recognition. In addition, in order to shorter the time of the clustering algorithm, we improve the ε-Link based on the massive vehicle networking data. We refer to image-based clustering algorithm applied on matching map of the vehicle networking data and ultimately obtain the traffic hot spot map of the urban roads by the clustering analysis. We evaluate our algorithm by doing thorough simulation on the massive data of vehicles in Fuzhou city. The result shows that when compared to the traditional clustering algorithms with great randomness in selection, the image-based clustering algorithm consumes less time in the case of massive vehicle networking data. And through the analysis of the trajectory data, the traffic hot spot map can be formed and practically reflects the practical traffic flow of Fuzhou city.
EFQM model implementation in a Portuguese Higher Education Institution

Abstract Education sector, and particularly, Higher Education Institutions (HEI), is nowadays an increasingly competitive sector, where the HEI’s success, relies on stakeholder’s recognition, along with their capacity to attract funding, to achieve sustainability. To attends such demands, HEI tends to incorporate into their strategy, Internal Quality Assurance Systems (IQAS). Additionally, and according to some works, existed on literature, HEI should follows a logic of continuous improvement, through the services provided to their stakeholders, where EFQM (European Foundation for Quality Management) model, arises as an alternative solution to be considered. However, and although the success achieved with this model on private sector, there are no certainties about the results of their implementation in HEI, since some of the adopted models have a set of techniques based on theories, sometimes incompatible within HEI nature. Therefore, and by using the case study methodology, it is intended to analyze the feasibility of an IQAS implementation, based on the EFQM model, in an Engineering School in Portugal. For this purpose, they are identified some advantages and difficulties found within its implementation, as well as ways to overcome them, contributing therefore with some answers for a better EFQM implementation into a HEI in general.
Defining, Developing, and Using Curriculum Indicators

We begin with a brief review of the lessons learned in the Reform Up Close study, a Consortium for Policy Research in Education (CPRE) project funded by the National Science Foundation, then discuss the central issues involved in defining and measuring curriculum indicators, while noting how our approach has developed over the past 10 years (1992-2002). This is followed by a discussion about using curriculum indicators in school improvement, program evaluation, and informing policy decisions.
Retention of empty MHC class I molecules by tapasin is essential to reconstitute antigen presentation in invertebrate cells

Presentation of antigen‐derived peptides by major histocompatibility complex (MHC) class I molecules is dependent on an endoplasmic reticulum (ER) resident glycoprotein, tapasin, which mediates their interaction with the transporter associated with antigen processing (TAP). Independently of TAP, tapasin was required for the presentation of peptides targeted to the ER by signal sequences in MHC class I‐transfected insect cells. Tapasin increased MHC class I peptide loading by retaining empty but not peptide‐containing MHC class I molecules in the ER. Upon co‐expression of TAP, this retention/release function of tapasin was sufficient to reconstitute MHC class I antigen presentation in insect cells, thus defining the minimal non‐housekeeping functions required for MHC class I antigen presentation.
Toward Security and Performance Certification of Open Stack

Cloud users and service providers are increasingly concerned about the management of their data and the behavior of the applications they use/own once stored/deployed in the cloud. They therefore ask for enhanced assurance solutions, which partially mitigate the new risks and threats they are facing. Among existing solutions, certification has been widely adopted as a preferable approach to increase trust in the cloud. In this paper, after briefly discussing our test-based certification scheme for the cloud, we show a real certification process aimed to certify Open Stack, an open source IaaS solution for managing infrastructure resources. In particular, we first describe the testing activities executed to certify Open Stack for security and performance properties. We then illustrate the obtained results and the outcomes of the certification process.
The Effect of Maternal Undernutrition in Early Gestation on Gestation Length and Fetal and Postnatal Growth in Sheep

In utero undernutrition in humans may result in cardiovascular (CV), metabolic, and growth adaptations. In sheep, maternal nutrient restriction during pregnancy, without effects on fetal or birth weight, results in altered CV control in the offspring. Adjustment of gestation length after undernutrition could be a strategy to enhance postnatal health/survival. The aim of this study was to determine in sheep the effect of a 50% reduction in maternal nutrient intake [undernutrition group (U) versus 100%, control group (C)] during 1–31 d of gestation (dGA) on gestation length and offspring size. By 28 dGA, U ewes had gained less weight than C, and twin-bearing ewes had gained less weight than singleton-bearing ewes regardless of group (p < 0.05). In different-sex twin pairs, maternal undernutrition resulted in longer gestation compared with C (146.5 ± 0.6 versus 144.6 ± 0.6 d, p < 0.05). Increased weight gain by weaning (20.8 ± 0.8 versus 17.9 ± 0.8 kg, p < 0.05) was observed in U male twins. These findings suggest that the strategy (i.e. growth rate or length of time in utero) adopted by the fetus to enhance immediate survival depends on offspring number and sex. This is likely to reflect the degree of constraint imposed on the fetus.