Miracle-dz/UniFAR-FTUs huggingface dataset:
Banana Passion Fruit (Passiflora mollissima (Kunth) L.H. Bailey): Microencapsulation, Phytochemical Composition and Antioxidant Capacity

Passiflora mollissima (Kunth) L.H. Bailey is an exotic fruit native to South America, known as taxo in Ecuador. This paper characterizes its flavonoid and carotenoid composition and antioxidant capacity and evaluates the effect of the spray-drying process on its phytochemical composition and antioxidant capacity. A total of 18 flavonoid compounds, nine proanthocyanidins and nine flavan-3-ol monomers, were identified and quantified. Glycosides of (epi)-afzelechin stood out as the most abundant flavonoid. Three carotenoids were identified, with β-carotene having the highest concentration. The DPPH· and ORAC assay methods indicated a high antioxidant capacity. Furthermore, the bioactive content showed a positive and direct correlation with antioxidant capacity. On the other hand, the spray-drying process produced a stable phytochemical composition and antioxidant activity of taxo. These results demonstrate the potential applicability of microencapsulated taxo as a functional ingredient in the food industry.
Comparision of model predictive, input shaping and feedback control for a lab-scaled overhead crane

The paper focuses on comparing the model predictive control, feedback controller and input shaping control for a laboratory scaled overhead traveling crane. The adaptive control of an overhead crane is developed based on the Generalized Predictive Control (GPC) procedure. Particle swarm optimization is applied to solve the optimal constrained control problem. The recursive least square (RLS) algorithm is applied to real-time estimate parameters of discrete-time model of a crane dynamic system. Feasibility and applicability of the proposed control technique were confirmed during experiments carried out on a laboratory stand. The results of experiments are presented and compared with the performances of the feedback controller and zero vibration derivative (ZVD) input shaper.
Corpus Based Unsupervised Labeling of Documents

Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of documents from sources like the World Wide Web, manual labeling by domain experts is prohibitively expensive. The problem of reducing effort in labeling of documents has warranted a lot of investigation in the past. Most of this work involved some kind of supervised or semisupervised learning. This motivates the need to find automatic methods for annotating documents with labels. In this work we explore a novel method of assigning labels to documents without using any training data. The proposed method uses clustering to build semantically related sets that are used as candidate labels to documents. This technique could be used for labeling large corpora in an unattended fashion.
Mobile Channel Prediction with Application to Transmitter Antenna Selection for Alamouti Systems

Exploiting the full spatial diversity available in mobile wireless channels is most effective when some information about the channel is available at the transmitter. In many practical applications, such information is rapidly outdated and has limited realizable benefits. This note investigates the feasibility of linear fading prediction, applied to noisy channel estimates. The predictions are then used for antenna subset selection for space-time block coding. It is shown, using synthesized and measured channel data, that multidimensional prediction from short channel snapshots is unreliable for dense scattering channels. However, the use of parallel predictors can provide a significant increase in the diversity, and hence performance, achievable with antenna subset selection relative to outdated or no channel information at the transmitter.
Peroxisomal CuAO&zgr; and its product H2O2 regulate the distribution of auxin and IBA-dependent lateral root development in Arabidopsis

Root system architecture depends on endogenous and environmental signals, including polar transport of the phytohormone auxin, reactive oxygen species (ROS), nutrient availability, and stresses. In our study, we describe a novel Arabidopsis thaliana peroxisome-localized copper amine oxidase ζ (CuAOζ), which is highly expressed in cortical cells, and the ROS derived from CuAOζ are essential for lateral root (LR) development. Loss of CuAOζ results in retarded auxin-induced ROS generation, PINFORMED2 (PIN2)-mediated auxin transport, and LR development in response to added indole-3-butyric acid. Auxins enhance CuAOζ protein levels and their cellular translocation toward the plasma membrane in the cortex. CuAOζ interacts physically with PEROXINS5 via an N-terminal signal tag, Ser-Lys-Leu, and is transported into the peroxisome upon this interaction, which is required for the functions of CuAOζ in the auxin response. Together, our results suggest a peroxisomal ROS-based auxin signaling pathway involving spatiotemporal-dependent CuAOζ functional regulation of PIN2 homeostasis, auxin distribution, and LR development.
Signalling in the Yeasts: An Informational Cascade with Links to the Filamentous Fungi

SUMMARY All cells, from bacteria and yeasts to mammalian cells, respond to cues from their environment. A variety of mechanisms exist for the transduction of these external signals to the interior of the cell, resulting in altered patterns of protein activity. Eukaryotic cells commonly transduce external cues via a conserved module composed of three protein kinases, the mitogen-activated protein kinase (MAPK) cascade. This module can then activate substrates, some of which include transcriptional activators. Multiple MAPK signalling pathways coexist in a cell. This review considers different MAPK cascade signalling pathways that govern several aspects of the life cycle of budding and fission yeasts: conjugation and meiosis by the pheromone response pathway, stress response by the high-osmolarity sensing pathway, cell wall biosynthesis in response to activation of the low-osmolarity and heat-sensing pathway, and pseudohyphal growth in response to activation of a subset of the components of the pheromone response pathway. Because the MAPK cascade components are highly conserved, a key question in studies of these pathways is the mechanism by which specificity of response is achieved. Several other issues to be addressed in this review concern the nature of the receptors used to sense the external signals and the mechanism by which the receptors communicate with other components leading to activation of the MAPK cascade. Recently, it has become apparent that MAPK cascades are important in governing the pathogenicity of filamentous fungi.
CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise

Coordinating the joint-actions of agents in cooperative multiagent systems is a difficult problem in many real world domains. Learning in such multiagent systems can be slow because an agent may not only need to learn how to behave in a complex environment, but also to account for the actions of other learning agents. The inability of an agent to distinguish between the true environmental dynamics and those caused by the stochastic exploratory actions of other agents creates noise in each agent's reward signal. This learning noise can have unforeseen and often undesirable effects on the resultant system performance. We define such noise as exploratory action noise, demonstrate the critical impact it can have on the learning process in multiagent settings, and introduce a reward structure to effectively remove such noise from each agent's reward signal. In particular, we introduce two types of Coordinated Learning without Exploratory Action Noise (CLEAN) rewards that allow an agent to estimate the counterfactual reward it would have received had it taken an alternative action. We empirically show that CLEAN rewards outperform agents using both traditional global rewards and shaped difference rewards in two domains.
Hybrid Analog-Digital Beamforming for Massive MIMO Systems

In massive MIMO systems, hybrid beamforming is an essential technique for exploiting the potential array gain without using a dedicated RF chain for each antenna. In this work, we consider the data phase in a massive MIMO communication process, where the transmitter and receiver use fewer RF chains than antennas. We examine several different fully- and partially connected schemes and consider the design of hybrid beamformers that minimize the estimation error in the data. For the hybrid precoder, we introduce a framework for approximating the optimal fully-digital precoder with a feasible hybrid one. We exploit the fact that the fully-digital precoder is unique only up to a unitary matrix and optimize over this matrix and the hybrid precoder alternately. Our alternating minimization of approximation gap (Alt-MaG) framework improves the performance over state-of-the-art methods with no substantial increase in complexity. In addition, we present a special case of Alt-MaG, minimal gap iterative quantization (MaGiQ), that results in low complexity and lower mean squared error (MSE) than other common methods, in the case of very few RF chains. MaGiQ is shown to coincide with the optimal fully-digital solution in some scenarios. For combiner design, we exploit the structure of the MSE objective and develop a greedy ratio trace maximization technique, that achieves low MSE under various settings. All of our algorithms can be used with multiple hardware architectures.
Design and implementation of a mobile device for outdoor augmented reality in the archeoguide project

This paper presents the design and implementation issues associated with the development of a mobile device for the ARCHEOGUIDE project. We describe general and application specific design goals as well as the technical requirements the implementation is based upon. Since speed is crucial for an interactive application we provide a survey of mobile and wearable computing equipment especially considering performance aspects. A detailed overview of available hardware components follows. We describe the decisions made during prototype development and present the final result --- a mobile unit for outdoor Augmented Reality tours in cultural-heritage sites. Finally we discuss the experiences we made using the system during a first trials phase at ancient Olympia in Greece.
Assessing and Comparing Vulnerability Detection Tools for Web Services: Benchmarking Approach and Examples

Selecting a vulnerability detection tool is a key problem that is frequently faced by developers of security-critical web services. Research and practice shows that state-of-the-art tools present low effectiveness both in terms of vulnerability coverage and false positive rates. The main problem is that such tools are typically limited in the detection approaches implemented, and are designed for being applied in very concrete scenarios. Thus, using the wrong tool may lead to the deployment of services with undetected vulnerabilities. This paper proposes a benchmarking approach to assess and compare the effectiveness of vulnerability detection tools in web services environments. This approach was used to define two concrete benchmarks for SQL Injection vulnerability detection tools. The first is based on a predefined set of web services, and the second allows the benchmark user to specify the workload that best portrays the specific characteristics of his environment. The two benchmarks are used to assess and compare several widely used tools, including four penetration testers, three static code analyzers, and one anomaly detector. Results show that the benchmarks accurately portray the effectiveness of vulnerability detection tools (in a relative manner) and suggest that the proposed benchmarking approach can be applied in the field.
RELIABILITY AND VALIDITY OF THE WORKAHOLISM BATTERY (Work-BAT): TURKISH FORM

Our aim in this study was to determine the reliability and validity of the Turkish version of the Workaholism Battery (Spence & Robbins, 1992). The original scale was translated into Turkish and then administered to 175 working graduates. Confirmatory factor analysis yielded a 2-factor solution with 9 items established in the first factor (WE) and 11 in the second (D). The reliability coefficient of the new shortened scale was . 83 and the split-half reliability coefficient was . 69. This scale has adequate criterion-related validity, with a positive correlation between the Jenkins Activity Survey–Type A Behavior subscale (Jenkins, Zyzanski, & Rosenman, 1979) and both WE and D. The congruence between the findings and the literature is discussed.
Mutational screening of six genes in Chinese patients with congenital cataract and microcornea

Purpose To identify mutations in 6 genes of 9 Chinese families with congenital cataract and microcornea. Methods Nine unrelated families with congenital cataract and microcornea were collected. Cycle sequencing was used to detect variants in the coding and adjacent regions of the crystallin alpha A (CRYAA), crystallin beta B1 (CRYBB1), crystallin beta A4 (CRYBA4), crystallin gamma C (CRYGC), crystallin gamma D (CRYGD), and gap junction protein alpha 8 (GJA8) genes. Results Upon complete analysis of the 6 genes, three mutations in 2 genes were detected in 3 families, respectively. These mutations were not present in 96 normal controls. Of the three mutations, two novel heterozygous mutations in GJA8, c.136G>A (p.Gly46Arg) and c.116C>G (p.Thr39Arg), were found in two families with congenital cataract and microcornea. The rest one, a heterozygous c.34C>T (p.Arg12Cys) mutation in CRYAA, was identified in three patients from a family with nuclear cataract, microcornea with axial elongation. No mutation in the 6 genes was detected in the remaining 6 families. Conclusions Mutations in GJA8 and CRYAA were identified in three families with cataract and microcornea. Elongation of axial length accompanied with myopia was a novel phenotype in the family with the c.34C>T mutation in CRYAA. Our results expand the spectrum of GJA8 mutations as well as their associated phenotypes.
Can You Do It? How Preschoolers Judge Whether Others Have Learned

Two experiments investigated how preschoolers judge whether learning has occurred. Experiment 1 showed that 3- and 4-year-olds used an individual's ability to demonstrate knowledge to judge whether he/she had learned something, regardless of that individual's claim about whether he/she had learned. Experiment 2 considered whether children responded based on just the character's demonstrative ability or whether children integrate various pieces of mental state knowledge to make a judgment about learning. Using a similar procedure, preschoolers were first told that the character claimed to be ignorant and then that they learned or did not learn a piece of information. In these cases, judgments of learning changed when the characters' claims and demonstrative abilities conflicted. These results suggest that children's understanding of learning involves the integration of various pieces of mental state knowledge. This process starts in the preschool years, but these data also suggest that crucial developments are taking place after age 4.
Modulation of Tumor Necrosis Factor by Microbial Pathogens

In response to invasion by microbial pathogens, host defense mechanisms get activated by both the innate and adaptive arms of the immune responses. TNF (tumor necrosis factor) is a potent proinflammatory cytokine expressed by activated macrophages and lymphocytes that induces diverse cellular responses that can vary from apoptosis to the expression of genes involved in both early inflammatory and acquired immune responses. A wide spectrum of microbes has acquired elegant mechanisms to overcome or deflect the host responses mediated by TNF. For example, modulatory proteins encoded by multiple families of viruses can block TNF and TNF-mediated responses at multiple levels, such as the inhibition of the TNF ligand or its receptors, or by modulating key transduction molecules of the TNF signaling pathway. Bacteria, on the other hand, tend to modify TNF-mediated responses specifically by regulating components of the TNF signaling pathway. Investigation of these diverse strategies employed by viral and bacterial pathogens has significantly advanced our understanding of both host TNF responses and microbial pathogenesis. This review summarizes the diverse microbial strategies to regulate TNF and how such insights into TNF modulation could benefit the treatment of inflammatory or autoimmune diseases.
P-cadherin signals through the laminin receptor α6β4 integrin to induce stem cell and invasive properties in basal-like breast cancer cells

P-cadherin is a classical cell-cell adhesion molecule that, in contrast to E-cadherin, has a positive role in breast cancer progression, being considered a poor prognostic factor in this disease. In previous reports, we have shown that this protein induces cancer stem cell and invasive properties to basal-like breast cancer cells. Here, we clarify the downstream signaling pathways that are triggered by P-cadherin to mediate these effects. We demonstrated that P-cadherin inhibition led to a significant decreased adhesion of cancer cells to the basement membrane substrate laminin, as well as to a major reduction in the expression of the laminin receptor α6β4 integrin. Remarkably, the expression of this heterodimer was required for the invasive capacity and increased mammosphere forming efficiency induced by P-cadherin expression. Moreover, we showed that P-cadherin transcriptionally up-regulates the α6 integrin subunit expression and directly interacts with the β4 integrin subunit. We still showed that P-cadherin downstream signaling, in response to laminin, involves the activation of focal adhesion (FAK), Src and AKT kinases. The association between the expression of P-cadherin, α6β4 heterodimer and the active FAK and Src phosphorylated forms was validated in vivo. Our data establish that there is a crosstalk between P-cadherin and the laminin receptor α6β4 integrin signaling pathway, which link has never been previously described. The activation of this heterodimer explains the stem cell and invasive properties induced by P-cadherin to breast cancer cells, pointing to a new molecular mechanism that may be targeted to counteract the effects induced by this adhesion molecule.
Phacoemulsification and intraocular lens implantation in eyes with open-angle glaucoma.

PURPOSE To study the effect of phacoemulsification and intraocular lens implantation (PHACO IOL) on intraocular pressure (IOP) and glaucoma medication in open-angle glaucoma (OAG) eyes. METHODS 38 open-angle glaucoma (OAG) eyes with cataract underwent phacoemulsification and intraocular lens implantation (PHACO IOL) performed by one surgeon (RJU). None of the patients had prior intraocular surgery. Surgery was performed by scleral incision on 37% and by clear corneal incision on 63%. Patients were re-examined on the first postoperative day, after one week, 4 months, and in 29 cases 1-3.7 (mean 2.8) years after the operation. RESULTS The mean preoperative IOP was 18.4+/-3.3 mmHg with a mean of 1.7 glaucoma medications. On the first postoperative day, the mean IOP rose to 28.2 +/- 12.5 mmHg. IOP > or = 30 mmHg occurred in 39.5% of the eyes. After one week, IOP had returned to the preoperative level. After 4 months, IOP had further decreased to 16.1 +/- 3.8 mmHg (p = 0.0027). After a mean follow-up of 1-3.7 (mean 2.8) years, the average postoperative IOP was 15.1 +/- 2.9 mmHg, being significantly (p = 0.001) lower than the preoperative IOP with 86% of the patients having a mean of 1.6 drugs on average. The type of incision (scleral vs. corneal) did not affect the postoperative IOP level. Using the criteria of Bigger and Becker (1971) the long-term IOP control after PHACO-IOL surgery was improved or unchanged in 86% and worse in 14% of the preoperatively well-controlled OAG eyes. CONCLUSIONS In OAG eyes PHACO IOL is associated with a significant decrease in IOP with less medication up to 1-3.7 (mean 2.8) years.
Camera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images

In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4 meters. The system can be used in unknown environments with no additional information available from the outside world except in the first two images that are used for initialization. Pose estimation is performed using only natural feature points extracted and matched in successive images. In wide-baseline images unlike consecutive frames of a video stream, displacement of the feature points in consecutive images is notable and hence cannot be traced easily using patch-based methods. To handle this problem, a hybrid strategy is employed to obtain accurate feature correspondences. In this strategy, first initial feature correspondences are found using similarity of their descriptors and then outlier matchings are removed by applying RANSAC algorithm. Further, to provide a set of required feature matchings a mechanism based on sidelong result of robust estimator was employed. The proposed method is applied on indoor real data with images in VGA quality (640×480 pixels) and on average the translation error of camera pose is less than 2 cm which indicates the effectiveness and accuracy of the proposed approach.
Quotient lenses

There are now a number of BIDIRECTIONAL PROGRAMMING LANGUAGES, where every program can be read both as a forward transformation mapping one data structure to another and as a reverse transformation mapping an edited output back to a correspondingly edited input. Besides parsimony - the two related transformations are described by just one expression - such languages are attractive because they promise strong behavioral laws about how the two transformations fit together - e.g., their composition is the identity function. It has repeatedly been observed, however, that such laws are actually a bit too strong: in practice, we do not want them "on the nose," but only up to some equivalence, allowing inessential details, such as whitespace, to be modified after a round trip. Some bidirectional languages loosen their laws in this way, but only for specific, baked-in equivalences. In this work, we propose a general theory of QUOTIENT LENSES - bidirectional transformations that are well behaved modulo equivalence relations controlled by the programmer. Semantically, quotient lenses are a natural refinement of LENSES, which we have studied in previous work. At the level of syntax, we present a rich set of constructs for programming with CANONIZERS and for quotienting lenses by canonizers. We track equivalences explicitly, with the type of every quotient lens specifying the equivalences it respects. We have implemented quotient lenses as a refinement of the bidirectional string processing language Boomerang. We present a number of useful primitive canonizers for strings, and give a simple extension of Boomerang's regular-expression-based type system to statically typecheck quotient lenses. The resulting language is an expressive tool for transforming real-world, ad-hoc data formats. We demonstrate the power of our notation by developing an extended example based on the UniProt genome database format and illustrate the generality of our approach by showing how uses of quotienting in other bidirectional languages can be translated into our notation.