Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel immunotoxin reveals a new role for CD321 in endothelial cells

There are currently several antibody therapies that directly target tumors, and antibody-drug conjugates represent a novel moiety as next generation therapeutics. Here, we used a unique screening probe, DT3C, to identify functional antibodies that recognized surface molecules and functional epitopes, and which provided toxin delivery capability. Accordingly, we generated the 90G4 antibody, which induced DT3C-dependent cytotoxicity in endothelial cells. Molecular analysis revealed that 90G4 recognized CD321, a protein localized at tight junctions. Although CD321 plays a pivotal role in inflammation and lymphocyte trans-endothelial migration, little is known about its mechanism of action in endothelial cells. Targeting of CD321 by the 90G4 immunotoxin induced cell death. Moreover, 90G4 immunotoxin caused cytotoxicity primarily in migratory endothelial cells, but not in those forming sheets, suggesting a critical role for CD321 in tumor angiogenesis. We also found that hypoxia triggered redistribution of CD321 to a punctate localization on the basal side of cells, resulting in functional impairment of tight junctions and increased motility. Thus, our findings raise the intriguing possibility that endothelial CD321 presented cellular localization in tight junction as well as multifunctional dynamics in several conditions, leading to illuminate the importance of widely-expressed CD321 as a potential target for antitumor therapy.
Automatic construction of simple artifact-based business processes

Almost all medium- and large-scale businesses rely on electronic workflow systems to manage their business processes. A key challenge is to enable the easy re-use and modification of these workflow schemas and their piece-parts, so that they can be adapted to new business situations. This paper describes an approach for automatic construction (and thus, evolution) of a workflow schema that satisfies a specified condition (or "goal"), starting from a set of basic building block services (or "tasks"). We use a workflow model based on "business artifacts", which represent key (real or conceptual) business entities, and include both the business-relevant data about them and a specification of their lifecycle, that is, how they can evolve over time as they move through the workflow as the result of services being applied to them. This paper uses a declarative form of artifact-centric workflow. The services are non-deterministic, which corresponds to the intuition that humans performing the services may rely on information that is not modeled within the framework. We study the problem of, given a goal to be achieved, automatically finding the "maximal" workflow schema that has the following property: every execution is either complete or can be completed, and every complete execution satisfies the goal. We also study a complimentary problem, in which exception-handling is used to deal with executions that would otherwise not complete successfully. These problems are non-trivial because the workflow services are non-deterministic. This paper provides a general framework for studying these problems, and shows a tight relationship between workflow systems specified using logics that permit quantifier elimination and the ability to construct maximal schemas with the desired properties. The paper then studies a restricted setting to provide insights into complexity issues. Even in the restricted setting, the problem of testing properties of maximal workflows is PSPACE-complete.
High-speed and low complexity carrier recovery for DP-QPSK transmission

This paper proposes a high speed and low complexity carrier recovery for 10Gb/s dual-polarization quadrature phase shift keying (DP-QPSK). The Viterbi and Viterbi (V&V) algorithm is commonly used as a typical method for phase noise recovery. The V&V algorithm performs data dependency elimination by using complex multipliers that raise the value of the M-ary PSK signal to the power of M. However, the V&V algorithm may not be suitable for extremely high-speed carrier recovery because of the complicated complex multipliers. To achieve high speed and low complexity, we propose a new algorithm which performs data dependency elimination without using the complex multipliers. As a result, the proposed algorithm has lower hardware complexity and a higher clock rate compared with the V&V algorithm.
Distinct Visual Evoked Potential Morphological Patterns for Apparent Motion Processing in School-Aged Children

Measures of visual cortical development in children demonstrate high variability and inconsistency throughout the literature. This is partly due to the specificity of the visual system in processing certain features. It may then be advantageous to activate multiple cortical pathways in order to observe maturation of coinciding networks. Visual stimuli eliciting the percept of apparent motion and shape change is designed to simultaneously activate both dorsal and ventral visual streams. However, research has shown that such stimuli also elicit variable visual evoked potential (VEP) morphology in children. The aim of this study was to describe developmental changes in VEPs, including morphological patterns, and underlying visual cortical generators, elicited by apparent motion and shape change in school-aged children. Forty-one typically developing children underwent high-density EEG recordings in response to a continuously morphing, radially modulated, circle-star grating. VEPs were then compared across the age groups of 5–7, 8–10, and 11–15 years according to latency and amplitude. Current density reconstructions (CDR) were performed on VEP data in order to observe activated cortical regions. It was found that two distinct VEP morphological patterns occurred in each age group. However, there were no major developmental differences between the age groups according to each pattern. CDR further demonstrated consistent visual generators across age and pattern. These results describe two novel VEP morphological patterns in typically developing children, but with similar underlying cortical sources. The importance of these morphological patterns is discussed in terms of future studies and the investigation of a relationship to visual cognitive performance.
Further investigation of the outcomes of loyalty to supervisor

This study investigates the relationship between loyalty to supervisor and two employee outcome variables, i.e. job satisfaction and intent to stay. The proposed hypotheses were tested with a sample of 333 employees in the People’s Republic of China. The results indicate that loyalty to supervisor is positively related to job satisfaction and intent to stay. Loyalty to supervisor explained variance in these two outcome variables over and above that explained by organizational commitment. The results also confirm the previous findings that only the three extended loyalty to supervisor dimensions were significantly associated with employee outcomes, while the two original loyalty to supervisor dimensions were not. Implication, limitation and future study direction are also discussed.
Long term three dimensional tracking of orthodontic patients using registered cone beam CT and photogrammetry

The measurements from registered images obtained from Cone Beam Computed Tomography (CBCT) and a photogrammetric sensor are used to track three-dimensional shape variations of orthodontic patients before and after their treatments. The methodology consists of five main steps: (1) the patient's bone and skin shapes are measured in 3D using the fusion of images from a CBCT and a photogrammetric sensor. (2) The bone shape is extracted from the CBCT data using a standard marching cube algorithm. (3) The bone and skin shape measurements are registered using titanium targets located on the head of the patient. (4) Using a manual segmentation technique the head and lower jaw geometry are extracted separately to deal with jaw motion at the different record visits. (5) Using natural features of the upper head the two datasets are then registered with each other and then compared to evaluate bone, teeth, and skin displacements before and after treatments. This procedure is now used at the University of Alberta orthodontic clinic.
A Time-Sensitive Collaborative Filtering Model in Recommendation Systems

Collaborative filtering is one of the most widely-used algorithms in recommendation systems. In user-based collaborative filtering algorithm, current users' nearest neighbors are used to recommend items because they have similar preference, but users' preference varies with time, which often affects the accuracy of the recommendation. As a result of the varying users' preference, many researches about recommendation systems are focusing on the time factor, to find a way to make up for the change in preferences of users. The existing time-related algorithms usually add time factor in the training phase and make this procedure more complicated. To catch the newest preference of the users and improve the accuracy of the recommendation without complicating the training phase, a timesensitive collaborative filtering model is proposed in this paper, which keeps the original training phase and make some changes in the prediction phase. During the recommendation process, the proposed model orders the items by time for each user as a sequence. The sequence is called time-behavior sequence. First it finds the last item from current user's time-behavior sequence which represents the newest preference of the current user. Secondly, it locates the item in nearest neighbors' timebehavior sequence and saves the timestamp of the item. Lastly, it recommends the items whose timestamps are greater than the saved timestamp from the nearest neighbors' time-behavior sequence. Experiments on the MovieLens dataset show that the proposed time-sensitive collaborative filtering model gives better recommendation quality than the traditional user-based collaborative filtering recommendation algorithm. It can catch the newest preferences of the users and increase the accuracy of recommendation, without changing the training phase.
Structural Determinants of Interaction of Tyrosine-based Sorting Signals with the Adaptor Medium Chains*

Many integral membrane proteins contain tyrosine-based signals within their cytoplasmic domains that mediate internalization from the cell surface and targeting to lysosomal compartments. Internalization depends on an interaction of the tyrosine-based signals with the clathrin-associated adaptor complex AP-2 at the plasma membrane, whereas lysosomal targeting involves interaction of the signals with an analogous complex, AP-1, at the trans-Golgi network. Recent studies have identified the medium chains μ2 of AP-2 and μ1 of AP-1 as the recognition molecules for tyrosine-based signals. We have now investigated the structural determinants for interaction of the signals with μ2 and μ1. The position of the signals was found to be an important determinant of interactions with μ2 and μ1; signals were most effective when present at the carboxyl terminus of a polypeptide sequence. Another important determinant of interactions was the identity of residues surrounding the critical tyrosine residue. Mutation of some residues affected interactions with μ2 and μ1 similarly, whereas other mutations had differential effects. These observations suggest that both the position and the exact sequence of tyrosine-based sorting signals are major determinants of selectivity in their interaction with clathrin-associated adaptor complexes.
A New Frequency-Limited Interval Gramians-Based Model Order Reduction Technique

Model order reduction (MOR) is a process of finding a lower approximation of the original system. In many practical applications, only a certain frequency interval is of interest. This motivates limited frequency interval model reduction wherein a reduced model is found whose output fits with that of the original system within the desired frequency interval. A frequency-limited balancing-based MOR technique is proposed, which yields stable models with less approximation error than existing stability-preserving techniques. The superiority of the proposed technique is highlighted with the help of numerical examples.
Reduction of computational complexity of Hough transforms using a convolution approach

The Hough transform finds wide application in machine and robot vision. The family of Hough transforms allows a variety of geometric objects to be located and described in an image. However, the classical Hough transform is computationally complex when targeting complex objects. This renders the Hough transform unsuitable for many real-time applications. We present a new algorithm for calculating the circle Hough transform by recasting it as a convolution. This new approach allows the transform to be calculated using the Fast Fourier transform, yielding an algorithm with lower computational complexity than the traditional approach. Although the convolution approach is applicable to the same range of different targets as the traditional Hough transform, we limit ourselves to a consideration of the circle Hough transform in this treatment.
Scaling the Benefits of Digital Nonlinear Compensation in High Bit-Rate Optical Meshed Networks

The communication traffic volume handled by trunk optical transport networks has been in‐ creasing year by year [1]. Meeting the increasing demand not only requires a quantitative increase in total traffic volume, but also ideally requires an increase in the speed of individu‐ al clients to maintain the balance between cost and reliability. This is particularly appropri‐ ate for shorter links across the network, where the relatively high optical signal-to-noise ratio (OSNR) would allow the use of a higher capacity, but is less appropriate for the longest links, where products are already close to the theoretical limits [2]. In such circumstances, it is necessary to maximize resource utilization and in a static network one approach to ach‐ ieve this is the deployment of spectrally efficient higher-order modulation formats enabled by digital coherent detection. As attested by the rapid growth in reported constellation size [3,4], the optical hardware for a wide variety of coherently detected modulation formats is identical [5]. This has led to the suggestion that a common transponder may be deployed and the format adjusted on a link by link basis to either maximize the link capacity given the achieved OSNR, or if lower, match the required client interface rate [6] such that the number of wavelength channels allocated to a given route is minimized. It is believed that such dy‐ namic, potentially self-adjusting, networks will enable graceful capacity growth, ready re‐ source re-allocation and cost reductions associated with improved transponder volumes and sparing strategies. However additional trade-offs and challenges associated with such net‐ works are presented to system designers and network planners. One such challenge is asso‐ ciated with the nonlinear transmission impairments which strongly link the achievable channel reach for a given set of modulation formats, symbol-rates [6,7] across a number of channels.
Locally controllable polygons by stable pushing

This paper characterizes polygons that are small-time locally controllable by stable pushing as a function of the polygon shape, the location of the center of friction, and the friction coefficient at the pushing contact. Such polygons can be pushed to follow any path arbitrarily and closely, a useful property for planar manipulation. Because the pushes are stable, pushing plans can be executed without feedback.
Carbon monoxide-releasing molecule-2 decreases fibrinolysis in vitro and in vivo in the rabbit

Administration of carbon monoxide derived from carbon monoxide-releasing molecules (CORMs) have been demonstrated to enhance coagulation and diminish fibrinolysis in vitro at small concentrations (100–200 &mgr;mol/l) in human and rabbit plasma, whereas in vivo administration of large concentrations (>1400 &mgr;mol/l) of carbon monoxide has mildly increased bleeding time in vivo in rats. We sought to determine whether CORM-2 [tricarbonyldichlororuthenium (II) dimer] would improve coagulation and attenuate tissue-type plasminogen activator (tPA)-mediated fibrinolysis in rabbit whole blood as determined in vitro by thrombelastography and in an in vivo preclinical rabbit model of ear bleeding time administered intravenous tPA (1 mg/kg). Addition of 200, 400 and 600 &mgr;mol/l CORM-2 to whole blood significantly improved coagulation and attenuated fibrinolysis compared with blood without CORM-2. Rabbits administered CORM-2 (10 mg/kg, 279 &mgr;mol/l) had a small but significant decrease in bleeding time before tPA administration. Administration of tPA resulted in bleeding times more than six-fold greater than baseline in animals not exposed to CORM-2, whereas rabbits administered CORM-2 had significantly smaller (more than five-fold less) bleeding time values after tPA administration. CORM-2 administration significantly decreases fibrinolytic bleeding in the rabbit in vivo. Additional preclinical investigation of the effects of CORM-2 on coagulopathy (e.g. heparin-mediated or clopidogrel-mediated) utilizing this rabbit model are planned.
Institutional Outcomes of Student-Athlete Engagement in Athletics Department-Sponsored Community Service

Abstract The purpose of this study was to explore how involvement in athletic department sponsored community service affected intercollegiate student-athletes' attachment, intent to donate money, and likelihood of speaking positively about the department. Using a purposeful sample, questionnaires were distributed to former student-athletes with a total of 80 usable questionnaires being returned. The instrument specifically measured the quality of the relationship between the former student-athlete and athletic department (i.e., perceived organizational support), level of engagement in community service initiatives, intent to donate, and word of mouth promotion. Analysis of variance established those former student-athletes who planned community service initiatives had a significantly higher level of perceived organizational support than those who just attended and those who did not participate in any manner. Furthermore, regression analysis established the higher former student-athlete's level of perceived organizational support the greater their intent to donate money back to the athletic department and speak positively about it. Thus, athletic departments wanting to build high quality relationships with their student-athletes and benefit long term, should provide student-athletes the opportunity to be actively involved in planning community service initiatives.
A Rapid, Direct, Quantitative, and Label‐Free Detector of Cardiac Biomarker Troponin T Using Near‐Infrared Fluorescent Single‐Walled Carbon Nanotube Sensors

Patients with chest pain account for 10% of US emergency room visits according to data from the Center for Disease Control and Prevention (2013). For triage of these patients, cardiac biomarkers troponin I and T are endorsed as standard indicators for acute myocardial infarction (AMI, or heart attack). Thus, there is significant interest in developing a rapid, point‐of‐care (POC) device for troponin detection. In this work, a rapid, quantitative, and label‐free assay, which is specific for cardiac troponin T (cTnT) detection, using fluorescent single‐walled carbon nanotubes (SWCNTs), is demonstrated. Chitosan‐wrapped carbon nanotubes are cross‐linked to form a thin gel that is further functionalized with nitrilotriacetic acid (NTA) moieties. Upon chelation of Ni2+, the Ni2+‐NTA group binds to a hexa‐histidine‐modified troponin antibody, which specifically recognizes the target protein, troponin T. As the troponin T binds to the antibody, the local environment of the sensor changes, allowing direct troponin detection through intensity changes in SWCNT bandgap fluorescence. This platform represents the first near‐infrared SWCNT sensor array for cTnT detection. Detection can be completed within 5 min, demonstrating a linear response to cTnT concentration and an experimental detection limit of 100 ng mL−1 (2.5 nm). This platform provides a promising new tool for POC AMI detection in the future. Moreover, the work presents two new methods of quantifying the number of amines and carboxylic groups, respectively, in a carbon hydrogel matrices.
Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links

Wikipedia is a central source of information as 450 million people consult the online encyclopaedia every month to satisfy their information needs. Some of these users also refer to Wikipedia within their tweets. In this paper, we analyse links within tweets referring to a Wikipedia of a language different from the tweet's language. Therefore, we investigate causes for the usage of such inter-language links by comparing the tweeted article and its counterpart in the tweet's language (if there is any) in terms of article quality. We find that the main cause for inter-language links is the non-existence of the article in the tweet's language. Furthermore, we observe that the quality of the tweeted articles is constantly higher in comparison to their counterparts, suggesting that users choose the article of higher quality even when tweeting in another language. Moreover, we find that English is the most dominant target for inter-language links.
Automated Test Case Prioritization with Reactive GRASP

Modifications in software can affect some functionality that had been working until that point. In order to detect such a problem, the ideal solution would be testing the whole system once again, but there may be insufficient time or resources for this approach. An alternative solution is to order the test cases so that the most beneficial tests are executed first, in such a way only a subset of the test cases can be executed with little lost of effectiveness. Such a technique is known as regression test case prioritization. In this paper, we propose the use of the Reactive GRASP metaheuristic to prioritize test cases. We also compare this metaheuristic with other search-based algorithms previously described in literature. Five programs were used in the experiments. The experimental results demonstrated good coverage performance with some time overhead for the proposed technique. It also demonstrated a high stability of the results generated by the proposed approach.
Issues of race, ethnicity, and culture in caregiving research: a 20-year review (1980-2000).

PURPOSE The goals of this review are to synthesize what is known about caregiving among diverse groups and to identify gaps in knowledge to guide future research on caregiving. The review focuses on conceptual and theoretical approaches, sampling strategies, measurement techniques, and similarities and differences found among groups and across studies. DESIGN AND METHODS A narrative approach was used to review 59 articles published between 1980 and 2000, with particular attention to race, ethnicity, and/or culture. Primary sources of relevant articles included electronic databases, other review articles, and reference lists. RESULTS Caregiving experiences and outcomes varied across racial and ethnic groups. However, the use of nontheoretical approaches, nonprobability samples, and inconsistent measures among studies has limited understanding of caregiving among diverse populations. IMPLICATIONS It is important that conceptualization and theorizing broaden with increasing numbers of studies that include diverse groups. Future caregiving research needs to give more attention to such issues as acculturation, assimilation, and cultural values, beliefs, and norms, while also improving theoretical and methodological rigor.