Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Sequences of User Actions

People display regularities in almost everything they do. This paper proposes characteristics of an idealized algorithm that, when applied to sequences of user actions, would allow a user interface to adapt over time to an individual’s pattern of use. We describe a simple predictive method with these characteristics and show its predictive accuracy on a large dataset of UNIX commands to be at least as good as others that have been considered, while using fewer computational and memory resources.
Empirical performance models for 3T1D memories

Process variation poses a threat to the performance and reliability of the 6T SRAM cell. Research has turned to new memory cell designs, such as the 3T1D DRAM cell, as potential replacement designs. If designers are to consider 3T1D memory architectures, performance models are needed to better understand memory cell behavior. We propose a decoupled approach for collecting Monte Carlo HSPICE data, reducing simulation times by simulating memory array components separately based on their contribution to the worst-case critical path. We use this Monte Carlo data to train regression models, which accurately predict retention and access times of a 3T1D memory array with a median error of 7.39%.
A conceptual model of enhanced undersampling technique

Imbalanced datasets often lead to decrement of classifiers’ performance.Undersampling technique is one of the approaches that is used when dealing with imbalanced datasets problem.This paper discusses on the advantages and disadvantages of several undersampling techniques.An enhanced Distancebased undersampling technique is proposed to balance the imbalanced data that will be used for classification. The fuzzy logic has been integrated in the distance-based undersampling technique to resolve the ambiguity and bias issues.
Serum Total Sialic Acid in Pigs: New Possibilities for an Old Inflammatory Biomarker

The potential use of total sialic acid (TSA) as an acute-phase biomarker in pigs was investigated through clinical and analytic validation of an automated commercial enzymatic-colorimetric assay. Intra- and interassay precision, accuracy, and detection limit were determined for the analytical validation of the method. The intra- and interassay coefficients of variation (%CV) were 2.27% and 3.99%, respectively, whereas the linearity under dilution calculation resulted in a coefficients of correlation of r = 0.995 and r = 0.999 for TSA high- and low-content serum samples, respectively, which indicated that the automated method was reliable to measure TSA in porcine serum samples. Average serum TSA concentrations in diseased pigs (median: 1779.16 mg/l; 5th percentile: 556.62 mg/l; 95th percentile: 963.06 mg/l) were 2.5-fold higher compared with healthy animals (median: 692.78 mg/l; 5th percentile: 1278.74 mg/l; 95th percentile: 2536.12 mg/l), which indicated that TSA can be considered as a moderate acute phase marker in swine. Therefore, TSA may be useful for detecting inflammatory conditions and could be included in biochemical profiles used to monitor the general status of pigs as a moderate acute phase marker.
Arrayed protein library technology for therapeutic biologic discovery

The first monoclonal antibody was appproved for human clinical use in 1985. This antibody, OKT3 (Kung et al., 1979), was derived from a mouse hybridoma and produced anti-mouse reactions that limited its use, and hindered further development of monoclonal antibodies. Humanization technology eliminated these cross-species issues and resulted in the approval of the first recombinant “chimeric” antibody rituximab and “humanized” antibody trastuzumab in 1997 and 1998, respectively. The approval of these molecules opened the floodgates for antibody development, as over 20 antibodies are currently approved by the FDA for therapeutic use and hundreds are in clinical development (nelson et al., yEAR? ). The need for humanized recombinant antibodies spurred the develoment of several technologies for their discovery and engineering.
Product Trials: The Effects of Direct Experience on Product Evaluation

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Distortion less watermarking of relational databases based on circular histogram modulation

Security is an important aspect of an information system in terms of its confidentiality, integrity and availability. Relational Databases are more and more remotely accessed and shared through the network because of growing economical value of the data in the real world. Cryptography and Watermarking are two kinds of security mechanisms, but cryptography does not provide posteriori protection to the data. Watermarking appears as an interesting security mechanism that can provide copyright protection and ownership verification of the data. Watermarking of relational databases is one of the fastest growing areas of research. This paper proposes a new method for increasing the capacity and privacy of watermarking based on circular histogram modulation by taking the host system as colour image. By increasing the capacity it can be beneficial for secure transmission of huge databases like hospital records through the network.
Deconstructing Motivations of ICT Adoption and Use: A Theoretical Model and its Applications to Social ICT

This paper begins by presenting a case that models of behavioral intention do not provide insight into the core needs of human beings, and as such, cannot inform designers as to what types of ICT features and functions might help meet users’ ICT adoption rationale. We review various motivational concepts across different disciplines. We then present a theoretical model of motivation that encapsulates the process from primitive basic human needs, to the formation and attainment of a specific endstate. We use a real life scenario to show the model’s explanatory power. We end by discussing potential implementations of this model into the study of ICTs.
Collision Detection Algorithm to Distinguish Between Intended Contact and Unexpected Collision

Abstract Industrial and service robots often physically interact with humans, and thus, human safety during these interactions becomes significantly important. Several solutions have been proposed to guarantee human safety, and one of the most practical, efficient solutions is the collision detection using generalized momentum and joint torque sensors. This method allows a robot to detect a collision and react to it as soon as possible to minimize the impact. However, the conventional collision detection methods cannot distinguish between intended contacts and unexpected collisions, and thus they cannot be used during certain tasks such as teaching and playback or force control. In this paper, we propose a novel collision detection algorithm which can distinguish intended contacts and unexpected collisions. In most cases, the external force during a collision shows a noticeably faster rate of change than that during an intended contact, and using this difference, the proposed observer can distinguish one from the other. Several experiments were conducted to show that the proposed algorithm can effectively distinguish intended contacts and unexpected collisions.
Promising therapy results for lymphoid malignancies in children with chromosomal breakage syndromes (Ataxia teleangiectasia or Nijmegen‐breakage syndrome): a retrospective survey

Children with chromosomal instability syndromes have an increased risk of developing lymphoma and leukaemia. The treatment of these malignancies is hampered by therapy‐associated toxicity and infectious complications. This retrospective analysis evaluated the therapy outcome of 38 children with Ataxia teleangiectasia or Nijmegen‐breakage syndrome with acute lymphoblastic leukaemia (ALL, n = 9), Non‐Hodgkin lymphoma (NHL, n = 28) and Hodgkin lymphoma (HL, n = 1). All patients with NHL or ALL were treated in accordance to Berlin‐Frankfurt‐Münster (BFM)‐ or Co‐operative study group for childhood ALL (CoALL)‐oriented chemotherapy schedules. 22 patients received significantly reduced‐intensity chemotherapy. After a median follow‐up of 3·7 years the 10‐year overall survival was 58%. Dosage‐reduction of chemotherapeutic drugs seemed to have no disadvantages and reduced toxic side effects. On the other hand, reduced‐intensity chemotherapy did not prevent second malignancies, which occurred in ten patients with a 10‐year incidence of 25%. After individual treatment approaches three of these patients with second malignancies were in complete clinical remission for more than 5 years. We conclude that BFM‐ or CoALL‐oriented chemotherapy is effective and can be administered in children with AT or NBS. Moreover, we show that even second lymphoid malignancies can successfully be treated in these patients.
Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones

Autonomous flight of pocket drones is challenging due to the severe limitations on on-board energy, sensing, and processing power. However, tiny drones have great potential as their small size allows maneuvering through narrow spaces while their small weight provides significant safety advantages. This paper presents a computationally efficient algorithm for determining optical flow, which can be run on an STM32F4 microprocessor (168 MHz) of a 4 gram stereo-camera. The optical flow algorithm is based on edge histograms. We propose a matching scheme to determine local optical flow. Moreover, the method allows for sub-pixel flow determination based on time horizon adaptation. We demonstrate velocity measurements in flight and use it within a velocity control-loop on a pocket drone.
Energy Optimization for Distributed Energy Resources Scheduling with Enhancements in Voltage Stability

Electricity Markets Ontology to Support MASCEM's Simulations Santos, G. , Pinto, T. , Vale, Z. , Praca, I. & Morais, H. , 2016, Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection: International Workshops of PAAMS 2016. Bajo, J. (ed.). Springer, Vol. 616. p. 393-404 12 p. (Communications in Computer and Information Science, Vol. 616). Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings – Annual report year: 2016 › Research › peer-review
Genetic Diversity of Campylobacter jejuni Isolates from Farm Animals and the Farm Environment

ABSTRACT The genetic diversity of Campylobacter jejuni isolates from farm animals and their environment was investigated by multilocus sequence typing (MLST). A total of 30 genotypes, defined by allelic profiles (assigned to sequence types [STs]), were found in 112 C. jejuni isolates originating in poultry, cattle, sheep, starlings, and slurry. All but two of these genotypes belonged to one of nine C. jejuni clonal complexes previously identified in isolates from human disease and retail food samples and one clonal complex previously associated with an environmental source. There was some evidence for the association of certain clonal complexes with particular farm animals: isolates belonging to the ST-45 complex predominated among poultry isolates but were absent among sheep isolates, while isolates belonging to the ST-61 and ST-42 complexes were predominant among sheep isolates but were absent from the poultry isolates. In contrast, ST-21 complex isolates were distributed among the different isolation sources. Comparison with MLST data from 91 human disease isolates showed small but significant genetic differentiation between the farm and human isolates; however, representatives of six clonal complexes were found in both samples. These data demonstrate that MLST and the clonal complex model can be used to identify and compare the genotypes of C. jejuni isolates from farm animals and the environment with those from retail food and human disease.
Issues and Methodology for Template Design for Information Extraction

The goal of Information Extraction tasks is to identify, categorize, classify, relate. and normalize specific information of interest found in free text, and to make that information available to a back-end data base, data fusion, or other application. A data structure referred to as a template is typically used for capturing such information, particularly in cases where the amount and complexity of information is substantial. The design of the template for such an application (or exercise) thus defines the task itself and therefore crucially affects the success of the Information Extraction attempt.This paper discusses template structure and methodological issues which arise in the template design process, within the context of a discussion of the design process itself; this paper is based on the template design process for TIPSTER/MUC5 and certain subsequent Information Extraction exercises. The first section of this paper addresses the issue of selection of the appropriate data representation (text annotation vs. flat template representation vs. object-oriented template). The second section outlines a set of high-level design considerations (desiderata) that have emerged; these desiderata feed into the discussion of design elements and a procedural review of the design process (design iterations, use of those linguistic analysis tools, etc.)
DARK OMENS IN THE SKY: DO SUPERSTITIOUS BELIEFS AFFECT INVESTMENT DECISIONS?

Psychological research documents that individuals are more likely to resort to superstitious practices when operating in environments dominated by uncertainty, high stakes, and perceived lack of control over the outcomes. Based on these findings, we suggest that the stock market represents an ideal breeding ground for superstition and then test whether superstition-induced behavior affects investment decisions. Our empirical analysis focuses on some beliefs associated with eclipses, phenomena that are typically interpreted as bad omens by the superstitious both in Asian and Western societies, and we employ a dataset containing 362 such events over the period 1928-2008. Using four broad indices of the U.S. stock market, we uncover strong evidence in support of our superstition hypothesis in four distinct ways. First, the occurrence of negative superstitious events (i.e. eclipses) is associated with belowaverage stock returns, which is consistent with a diminished buying pressure coming from the superstitious. Second, the size of the superstition effect is estimated to increase in times of high market uncertainty and when eclipses draw wide media coverage and public attention. Third, the negative performance of the market during the superstitious event is followed by a reversal effect of similar magnitude (10 basis points per day) on the subsequent trading days. Fourth, eclipses are accompanied by a trading volume decline. When we extend our analysis to a sample of Asian countries, we find analogous results. The patterns we document are inconsistent with the Efficient Market Theory, as eclipses are perfectly predictable events.
CCR2-Mediated Antiinflammatory Effects of Endothelial Tetrahydrobiopterin Inhibit Vascular Injury–Induced Accelerated Atherosclerosis

Background— Vascular injury results in loss of endothelial nitric oxide (NO), production of reactive oxygen species (ROS), and the initiation of an inflammatory response. Both NO and ROS modulate inflammation through redox-sensitive pathways. Tetrahydrobiopterin (BH4) is an essential cofactor for endothelial nitric oxide synthase (eNOS) that regulates enzymatic synthesis of either nitric oxide or ROS. We hypothesized that endothelial BH4 is an important regulator of inflammation and vascular remodeling. Methods and Results— Endothelium-targeted overexpression of GTP cyclohydrolase 1 (GCH), the rate limiting enzyme in BH4 synthesis, increased levels of tetrahydrobiopterin (BH4), reduced endothelial superoxide, improved eNOS coupling, and reduced vein graft atherosclerosis in transgenic GCH/ApoE-KO mice compared to ApoE-KO controls. Immunohistochemistry using anti–MAC-3 and MAC-1 antibody staining revealed a marked reduction in vein graft macrophage content, as did RT-PCR expression of macrophage marker CD68 mRNA levels in GCH/ApoE-KO mice. When we investigated the potential mediators of this reduction, we discovered that mRNA and protein levels of MCP-1 (CCL2) but not RANTES (CCL5) were significantly reduced in GCH/ApoE-KO aortic tissue. Consistent with this finding we found a decrease in CCR2-mediated, but not CCR5-mediated, chemotaxis in vascular tissue and plasma samples from GCH/ApoE-KO animals. Conclusion— Increased endothelial BH4 reduces vein graft neointimal hyperplasia and atherosclerosis through a reduction in vascular inflammation. These findings highlight the importance of MCP-1/CCR2 signaling in the response to vascular injury and identify novel pathways linking endothelial BH4 to inflammation and vascular remodeling.
Prevalence of the polycystic ovary syndrome in unselected black and white women of the southeastern United States: a prospective study.

Estimates of the prevalence of the polycystic ovary syndrome (PCOS) in the general population have ranged from 2-20%. The vast majority of these reports have studied White populations in Europe, used limited definitions of the disorder, and/or used bias populations, such as those seeking medical care. To estimate the prevalence of this disorder in the United States and address these limitations, we prospectively determined the prevalence of PCOS in a reproductive-aged population of 369 consecutive women (174 White and 195 Black; aged 18-45 yr), examined at the time of their preemployment physical. Body measures were obtained, and body hair was quantified by a modified Ferriman-Gallwey (F-G) method. All exams were initially performed by 2 trained nurses, and any subject with an F-G score above 3 was reexamined by a physician, the same for all patients. Of the 369 women, 277 (75.1%) also agreed to complete a questionnaire and have additional blood drawn. Subjects were studied regardless of current estrogen/progestin hormonal use (28.5%). PCOS was defined as 1) oligoovulation, 2) clinical hyperandrogenism (i.e. hirsutism) and/or hyperandrogenemia, and 3) exclusion of other related disorders, such as hyperprolactinemia, thyroid abnormalities, and non-classic adrenal hyperplasia. Hirsutism was defined by a F-G score of 6 or more, and hyperandrogenemia was defined as a total or free testosterone, androstenedione, and/or dehydroepiandrosterone sulfate level above the 95th percentile of control values [i.e. all eumenorrheic women in the study, who had no hirsutism (F-G < or = 5) or acne and were receiving no hormonal therapy; n = 98]. Considering all 369 women studied, White and Black women had similar mean ages (29.4 +/- 7.1 and 31.1 +/- 7.8 yr, respectively), although White women had a lesser body mass than Black women (24.9 +/- 6.1 vs. 29.2 +/- 8.1 kg/m2, respectively; P < 0.001). Of these 7.6%, 4.6%, and 1.9% demonstrated a F-G score of 6 or more, 8 or 10, respectively, and there was no significant racial difference, with hirsutism prevalences of 8.0%, 2.8%, and 1.6% in Whites, and 7.1%, 6.1%, and 2.1% in Blacks, respectively. Of the 277 women consenting to a history and hormonal evaluation, 4.0% had PCOS as defined, 4.7% (6 of 129) of Whites and 3.4% (5 of 148) of Blacks. In conclusion, in our consecutive population of unselected women the prevalence of hirsutism varied from 2-8% depending on the chosen cut-off F-G score, with no significant difference between White and Black women. Using an F-G score of 6 or more as indicative of hirsutism, 3.4% of Blacks and 4.7% of Whites had PCOS as defined. These data suggest that PCOS may be one of most common reproductive endocrinological disorders of women.
Hypoxia-inducible Factor (HIF)-1α and CCN2 Form a Regulatory Circuit in Hypoxic Nucleus Pulposus Cells

Background: The relationship between connective tissue growth factor (CCN2) and hypoxia-inducible factor (HIF)-1 in hypoxic nucleus pulposus is unknown. Results: HIF-1α suppresses CCN2 expression, whereas CCN2 represses basal HIF-1α levels and transcriptional activity. Conclusion: In nucleus pulposus, HIF-1α and CCN2 form a negative regulatory circuit. Significance: Tight control of CCN2 and HIF-1 activities may play a role in disc homeostasis. The objective of the study was to investigate if hypoxia-inducible factor (HIF)-1α and connective tissue growth factor (CCN2) form a regulatory network in hypoxic nucleus pulposus (NP) cells. A decrease in CCN2 expression and proximal promoter activity was observed in NP cells after hypoxic culture. Analysis of both human and mouse CCN2 promoters using the JASPAR core database revealed the presence of putative hypoxia response elements. Transfection experiments showed that both promoter activities and CCN2 expression decreases in hypoxia in a HIF-1α-dependent fashion. Interestingly, deletion analysis and mutation of the hypoxia responsive elements individually or in combination resulted in no change in promoter activity in response to hypoxia or in response to HIF-1α, suggesting an indirect mode of regulation. Notably, silencing of endogenous CCN2 increased HIF-1α levels and its target gene expression, suggesting a role for CCN2 in controlling basal HIF-1α levels. On the other hand, treatment of cells with rCCN2 resulted in a decrease in the ability of HIF-1α transactivating domain to recruit co-activators and diminished target gene expression. Last, knockdown of CCN2 in NP cells results in a significant decrease in GAG synthesis and expression of AGGRECAN and COLLAGEN II. Immunohistochemical staining of intervertebral discs of Ccn2 null embryos shows a decrease in aggrecan. These findings reveal a negative feedback loop between CCN2 and HIF-1α in NP cells and demonstrate a role for CCN2 in maintaining matrix homeostasis in this tissue.
Le retour de mobilité internationale: rupture et opportunité

The return of a manager after a period of international mobility is often described as a major transition, a new "culture shock", but it may be an opportunity both for the individual and for the company. Reactions of managers coming back from expatriation are studied here on the basis of interviews and analyzed through a grid adapted from Adler's (1981) bi-dimensional grid using expatriates' satisfaction and reaction mode (active/passive).
Auto Classifier Explaining Customers a Machine-Learning Model

When explaining customers that the artificial intelligence approach of our products automatically adapts document classifiers on training documents by applying statistical machine-learning, their reaction is similar like if we would tell them about an artificial intelligence in car breaks. Most likely they would dislike it, because they want full control on their data processors. Hence, we sell the Auto Classifier approach, which is the transparent and explainable extension of the respective machine learning components. This demo description presents this approach of providing customers full controls over document classifiers, which is part of nearly all products within Insiders Technologies’ product line.