Miracle-dz/UniFAR-FTUs huggingface dataset:
STC2 is upregulated in hepatocellular carcinoma and promotes cell proliferation and migration in vitro

The human glycoprotein, stanniocalcin 2 (STC2) plays multiple roles in several tumor types, however, its function and clinical significance in hepatocellular carcinoma (HCC) remain unclear. In this study, we detected STC2 expression by quantitative real-time PCR and found STC2 was upregulated in HCC tissues, correlated with tumor size and multiplicity of HCC. Ectopic expression of STC2 markedly promoted HCC cell proliferation and colony formation, while silencing of endogenous STC2 resulted in a reduced cell growth by cell cycle delay in G0/G1 phase. Western blot analysis demonstrated that STC2 could regulate the expression of cyclin D1 and activate extracellular signal-regulated kinase 1/2 (ERK1/2) in a dominant-positive manner. Transwell chamber assay also indicated altered patterns of STC2 expression had an important effect on cell migration. Our findings suggest that STC2 functions as a potential oncoprotein in the development and progression of HCC as well as a promising molecular target for HCC therapy. [BMB Reports 2012; 45(11): 629-634]
Evaluation of Piecewise Polynomial Equations for Two Types of Thermocouples

Thermocouples are the most frequently used sensors for temperature measurement because of their wide applicability, long-term stability and high reliability. However, one of the major utilization problems is the linearization of the transfer relation between temperature and output voltage of thermocouples. The linear calibration equation and its modules could be improved by using regression analysis to help solve this problem. In this study, two types of thermocouple and five temperature ranges were selected to evaluate the fitting agreement of different-order polynomial equations. Two quantitative criteria, the average of the absolute error values |e|ave and the standard deviation of calibration equation estd, were used to evaluate the accuracy and precision of these calibrations equations. The optimal order of polynomial equations differed with the temperature range. The accuracy and precision of the calibration equation could be improved significantly with an adequate higher degree polynomial equation. The technique could be applied with hardware modules to serve as an intelligent sensor for temperature measurement.
Tweeted Joke Life Spans and Appropriated Punch Lines: Practices Around Topical Humor on Social Media

During the coverage of breaking news and broadcasts on social media, journalists and audiences alike share links, comments, and opinions in response to new developments. On Twitter, such content can gain increased visibility by receiving retweets from other users, through automated functions, or by manually republishing and modifying comments. This article studies tweeted coverage of the doping scandal involving Lance Armstrong in 2012 and 2013. Humorous framing is found to be popular in this discussion, and such comments experience different longevity to breaking news tweets. With these patterns come new opportunities for users to modify and appropriate punch lines in attempts to receive increased attention—and for the serendipitous creation of similar jokes—which raise questions of authorship and attribution.
Lymphocyte trafficking through the blood–brain barrier is dependent on endothelial cell heterotrimeric G‐protein signaling

We have previously shown that the engagement of ICAM‐1 on brain endothelial cells (EC) results in the propagation of EC signaling pathways that are necessary for efficient lymphocyte migration across the tight vascular barriers of the brain. Signaling via this receptor alone, however, is unlikely to explain the differential recruitment of leukocytes at different vascular beds. In this study, we investigated the role of EC heterotrimeric G‐protein‐mediated signaling in supporting transendothelial migration of T lymphocytes. Treatment of brain EC monolayers with pertussis toxin (PTX) resulted in ADP‐ribosylation of G‐protein a subunits and inhibition (>80%) of lymphocyte migration without affecting lymphocyte adhesion. Aortic and high endothelial venule EC treated identically resulted in only partial inhibition of lymphocyte migration (<40%). Expression of ribosylation‐resistant (PTX‐insensitive) G‐protein a subunits in brain EC restored their ability to support lymphocyte migration after pretreatment with PTX. Treatment of brain EC with PTX did not inhibit ICAM‐1‐stimulated tyrosine phosphorylation of focal adhesion kinase, suggesting the effects of PTX in inhibiting EC facilitation of lymphocyte migration are distinct from activation of EC through ICAM‐1. We conclude that a heterotrimeric G‐protein‐mediated signaling pathway in brain EC is essential for efficient transendothelial migration of T lymphocytes into the brain. —Adamson, P., Wilbourn, B. , Etienne‐Manneville, S. ,Calder, V. , Beraud, E. , Milligan, G. , Couraud, P.‐O. , Greenwood, J. Lymphocyte trafficking through the blood–brain barrier is dependent on endothelial cell heterotrimeric G‐protein signaling. FASEB J. 16, 1185–1194 (2002)
Reliability and Social Work Research.

James A. Rosenthal , PhD , is associate professor, University of Oklahoma , School of Social Work. This article was originally presented at the Annual Program Meeting of the Council on Social Work Education , March 1992 , Kansas City, MO. Reliability than that that sistency reliability is, less. viewing of concerns Using measures. is test good the the items domain-sampling Most and repeatability as that researchers a random more and is model, sample better agree consistency of measures. Most researchers agree
Effects of breast-feeding compared with formula-feeding on preterm infant body composition: a systematic review and meta-analysis

Abstract We conducted a systematic review and meta-analysis to compare the effect of breast-feeding and formula-feeding on body composition of preterm infants. We searched the literature using PubMed, Cochrane Central Library Issue, Ovid (Medline), Embase and other resources such as Google Scholar, electronic databases and bibliographies of relevant articles; two reviewers collected and extracted data independently. All the authors assessed risk of bias independently using the Newcastle–Ottawa Scale (NOS). A fixed-effects meta-analysis was undertaken with RevMan 5 software (The Cochrane Collaboration) using the inverse variance method (P≥0·05; χ 2 test). In contrast, a random-effects meta-analysis was carried out. Altogether, 630 articles were identified using search strategy, and the references within retrieved articles were also assessed. A total of six studies were included in this systematic review. In formula-fed infants, fat mass was higher at term (mean difference 0·24 (95 % CI 0·17, 0·31) kg), fat-free mass was higher at 36 weeks of gestational (mean difference 0·12 (95 % CI 0·04, 0·21) kg) and the percentage of fat mass was higher at 36 weeks of gestation (mean difference 3·70 (95 % CI 1·81, 5·59) kg) compared with breast-fed infants. Compared with breast-feeding, formula-feeding is associated with altered body composition from birth to term in preterm infants. The effects of formula-feeding on preterm infant body composition from term to 12-month corrected age are inconclusive in our study. Well-designed studies are required in the future to explore the effects of formula-feeding compared with breast-feeding.
Non- Surgical Management of Periapical Lesion

With dawn of era of minimal intervention in dentistry, surgical management of periapical lesions become controversial. Non-surgical or conservative management of periapical lesions not only cause less trauma to the tissues, but also promote faster and less eventful healing. This paper presents successful management of a periapical lesion in a 14 year old male child with calcium hydroxide paste in an oily vehicle with successful resolution of signs and symptoms both clinically and radiographically.
pWCET: a Tool for Probabilistic Worst-Case Execution Time Analysis of Real-Time Systems

This paper describes the tool support for a framework for performing probabilistic worst-case execution time (WCET) analysis for embedded real-time systems. The tool is based on a combination of measurement and static analysis, all in a probabilistic framework. Measurement is used to determine execution traces and static analysis to construct the worst path and eectively providing an upper bound on the worst-case execution time of a program. The paper illustrates the theoretical framework and the components of the tool together with a case study.
Golgi-Mediated Vacuolar Sorting of the Endoplasmic Reticulum Chaperone BiP May Play an Active Role in Quality Control within the Secretory Pathway

Quality control in the endoplasmic reticulum (ER) prevents the arrival of incorrectly or incompletely folded proteins at their final destinations and targets permanently misfolded proteins for degradation. Such proteins have a high affinity for the ER chaperone BiP and are finally degraded via retrograde translocation from the ER lumen back to the cytosol. This ER-associated protein degradation (ERAD) is currently thought to constitute the main disposal route, but there is growing evidence for a vacuolar role in quality control. We show that BiP is transported to the vacuole in a wortmannin-sensitive manner in tobacco (Nicotiana tabacum) and that it could play an active role in this second disposal route. ER export of BiP occurs via COPII-dependent transport to the Golgi apparatus, where it competes with other HDEL receptor ligands. When HDEL-mediated retrieval from the Golgi fails, BiP is transported to the lytic vacuole via multivesicular bodies, which represent the plant prevacuolar compartment. We also demonstrate that a subset of BiP-ligand complexes is destined to the vacuole and differs from those likely to be disposed of via the ERAD pathway. Vacuolar disposal could act in addition to ERAD to maximize the efficiency of quality control in the secretory pathway.
Analysis of Interrelationships among Voluntary and Prosthetic Leg Joint Parameters Using Cyclograms

The walking mechanism of a prosthetic leg user is a tightly coordinated movement of several joints and limb segments. The interaction among the voluntary and mechanical joints and segments requires particular biomechanical insight. This study aims to analyze the inter-relationship between amputees' voluntary and mechanical coupled leg joints variables using cyclograms. From this analysis, the critical gait parameters in each gait phase were determined and analyzed if they contribute to a better powered prosthetic knee control design. To develop the cyclogram model, 20 healthy able-bodied subjects and 25 prosthesis and orthosis users (10 transtibial amputees, 5 transfemoral amputees, and 10 different pathological profiles of orthosis users) walked at their comfortable speed in a 3D motion analysis lab setting. The gait parameters (i.e., angle, moment and power for the ankle, knee and hip joints) were coupled to form 36 cyclograms relationship. The model was validated by quantifying the gait disparities of all the pathological walking by analyzing each cyclograms pairs using feed-forward neural network with backpropagation. Subsequently, the cyclogram pairs that contributed to the highest gait disparity of each gait phase were manipulated by replacing it with normal values and re-analyzed. The manipulated cyclograms relationship that showed highest improvement in terms of gait disparity calculation suggested that they are the most dominant parameters in powered-knee control. In case of transfemoral amputee walking, it was identified using this approach that at each gait sub-phase, the knee variables most responsible for closest to normal walking were: knee power during loading response and mid-stance, knee moment and knee angle during terminal stance phase, knee angle and knee power during pre-swing, knee angle at initial swing, and knee power at terminal swing. No variable was dominant during mid-swing phase implying natural pendulum effect of the lower limb between the initial and terminal swing phases. The outcome of this cyclogram adoption approach proposed an insight into the method of determining the causal effect of manipulating a particular joint's mechanical properties toward the joint behavior in an amputee's gait by determining the curve closeness, C, of the modified cyclogram curve to the normal conventional curve, to enable quantitative judgment of the effect of changing a particular parameter in the prosthetic leg gait.
Multi year satellite remote sensing of particulate matter air quality over Sydney, Australia

Particulate matter (PM) air‐quality information is usually derived from ground‐based instruments. These measurements, while valuable, are not well suited to provide air‐quality information over large spatial scales. In this study, using 4 years of satellite aerosol optical thickness (AOT) at 0.55 µm derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board NASA's Terra and Aqua satellites, we present a multi‐year air analysis of PM air quality over Sydney, Australia. We then compare the satellite data with PM2.5 mass concentration measurements from six ground‐based stations in the area. Our results indicate significant diurnal variations and an overall increase in PM2.5 during Southern Hemisphere spring and summer seasons due to bush fires. The air quality in Sydney, Australia is good throughout the year except during major bushfires when PM2.5 mass loading can increase from normal (<20 µg m−3) to unhealthy conditions (>70 µg m−3). The satellite data also show corresponding AOT changes from less than 0.1 to greater than 1.0 during bushfire events. We conclude that satellite data are an excellent tool for studying PM air quality over large areas, especially when ground measurements are not available. While this is the first multi‐year combined satellite and ground‐based air quality analysis over Sydney, ancillary information from lidars, sun photometers, and size‐resolved chemistry measurements will further enhance our capability to monitor and forecast air quality in and around Sydney.
Increasing productivity and quality of care: robot-aided neuro-rehabilitation.

This paper presents an overview of our research in robot-aided stroke neuro-rehabilitation and recovery. At the onset of this research we had to confront squarely (and solve! ) a critical question: If anatomy is destiny, can we influence it? Our efforts over the last five years have been focused on answering this question and we will present a few of our clinical results from over 2,000 hours of robot-aided therapy with 76 stroke patients. To determine if exercise therapy influences plasticity and recovery of the brain following a stroke, we needed the appropriate "microscope" that would allow us to concomitantly control the amount of therapy delivered to a patient, while objectively measuring patient's performance. Back-driveable robots are the key enabling technology. Our results to date using common clinical scales suggest that robot-aided sensorimotor training does have a genuinely positive effect on reduction of impairment and the reorganization of the adult brain. Yet while clinical scales can help us to examine the impact in the neuro-recovery process, their coarse nature requires extensive and time-consuming trials, and on top of that they fail to show us details important for optimizing therapy. Alternative, robot-based scales offer the potential benefit of new finer measurements-and deeper insight into the process of recovery from neurological injury. We also plan to use present technology to establish the practicality and economic feasibility of clinician-supervised, robot-administered therapy, including classroom therapy. We feel quite optimistic that the march of progress will accelerate substantially in the near future and allow us to transfer this technology from the research realm to the everyday treatment of stroke survivors.
Synthesizing complex data on functional decline in older people using partial least squares (PLS) analysis.

RATIONALE, AIMS AND OBJECTIVES Declining capacity to function safely and independently in the community is a manifestation of ageing. Multiple measures are used to define and predict functional decline. This paper explores the use of partial least squares (PLS) analysis to understand the interaction between overtime measures of functional decline. METHODS Comprehensive information was captured on individuals aged 65+ who presented at a large metropolitan Australian hospital Emergency Department (ED) for a complaint, which did not result in a hospital admission. They were followed-up by telephone 1 and 3 months, post-ED discharge. Information was collected each time on home situations (living alone, using community services, using a gait aid and having a formal carer), recent falls, hospitalizations and instrumental activities of daily living (IADLs). PLS analysis was applied to identify overtime relationships between measures. RESULTS Valid information was provided by 147 individuals at all three time points. The eight individual IADL items clustered clearly around physical, mental or combined mental and physical IADLs. These clusters were strongly related to increased use of community supports, gait aid and carer, and living alone. The relationship was less convincingly for hospitalizations, and falls were not explained well. CONCLUSION PLS analysis offers a novel and comprehensive way of analysing complex health data, which allows sense to be made of relationships over a 3-month period. This analysis provides a better understanding of declining function over time, than could be provided by current health modelling methods.
Contrastive Knowledge Surveyed

Suppose that Ann says, “Keith knows that the bank will be open tomorrow. ” Her audience may well agree. Her knowledge ascription may seem true. But now suppose that Ben—in a different context—also says “Keith knows that the bank will be open tomorrow. ” His audience may well disagree. His knowledge ascription may seem false. Indeed, a number of philosophers have claimed that people’s intuitions about knowledge ascriptions are context sensitive, in the sense that the very same knowledge ascription can seem true in one conversational context but false in another. This purported fact about people’s intuitions serves as one of the main pieces of evidence for epistemic contextualism, which is (roughly speaking) the view that the truth conditions of a knowledge attribution can differ from one conversational context to another. Opponents of contextualism have replied by trying to explain these purported intuitions in other ways. For instance, they have proposed that these purported intuitions may be explained via shifts in what is at stake for the subject, pragmatic shifts in what is assertible, or performance shifts in our liability to error. Yet a recent series of empirical studies threatens to undermine this whole debate. These studies presented ordinary people with precisely the sorts of cases that have been discussed in the contextualism literature and gave them an opportunity to say whether they agreed or disagreed with the relevant knowledge attributions. Strikingly, the results suggest that people simply do not have the intuitions they were purported to have. Looking at this recent evidence, it is easy to come away with the feeling that the whole contextualism debate was founded on a myth. The various sides offered
OpenFlow: Why latency does matter

In the OpenFlow framework, packet forwarding (data plane) and routing decisions (control plane) run on different devices. OpenFlow switches are in charge of packet forwarding, whereas a Controller, which can be situated very far from a networking point of view from the switches its manages, sets up switch forwarding tables on a per-flow basis. The connection between a switch and its Controller is thus of primary importance for the performances of the network. In this paper, we study the impact of the latency between an OpenFlow switch and its Controller. We show that UDP and TCP have different effects depending on the available bandwidth on the control link. Bandwidth arbitrates how many flows the Controller can process, as well as the loss rate if the system is under heavy load, while latency drives the overall behavior of the network, that is the time to reach its full capacity. Finally, we propose solutions to mitigate the phenomenons we outline.
Teachers’ Experiences With Multiple Victimization: Identifying Demographic, Cognitive, and Contextual Correlates

Extant scholarship has primarily examined demographic predictors of teacher victimization. Teacher multiple victimization, or the extent to which teachers experience multiple types of violence, has not been examined. Using social-ecological theory, we examine correlates of violence among 2,324 teachers who reported having been victimized at least once. Male teachers were more likely to report student-generated multiple victimization, and White teachers were more likely to experience multiple forms of violence generated by students and parents. Teacher attributions also played an important role. Characterological and behavioral self-blame were associated with higher colleague and student-generated multiple victimization, respectively. Regarding contextual variables, teachers who reported less administrative support were more likely to report multiple forms of violence by students and colleagues, and teachers working in urban settings reported more student-generated multiple victimization. This study underscores the importance of accounting for individual and contextual factors. Implications for research and practice are discussed.
The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, we review our developments in this area and put them into perspective. These examples cover a wide range of maturity levels with respect to their applicability. While we assume we are still a long way away from integrating Brain-Computer Interface (BCI) technology in general interaction with computers, or from implementing neurotechnological measures in safety-critical workplaces, results have already now been obtained involving a BCI as research tool. In this article, we discuss the reasons why, in some of the prospective application domains, considerable effort is still required to make the systems ready to deal with the full complexity of the real world.