Miracle-dz/UniFAR-FTUs huggingface dataset:
New State of Play in Information Systems Research: The Push to the Edges

The dominant way of producing knowledge in information systems (IS) seeks to domesticate high-level reference theory in the form of mid-level abstractions involving generic and atheoretical information technology (IT) components. Enacting such epistemic scripts squeezes IS theory to the middle range, where abstract reference theory concepts are directly instantiated or slightly modified to the IS context, whereas IT remains exogenous to theory by being treated as an independent variable, mediator, or moderator. In this design, IT is often operationalized using proxies that detect the presence of IT or its variation in use or cost. Our analysis of 143 articles published in MIS Quarterly and Information Systems Research over the past 15 years demonstrates that over 70 percent of published theory conforms to this mode of producing IS knowledge. This state of play has resulted in two negative consequences: the field (1) agonizes over the dearth of original and bold theorizing over IT and (2) satisfices when integrating theory with empirics by creating incommensurate mid-range models that are difficult to consolidate. We propose that one way to overcome these challenges is to critically examine and debate the negative impacts of the field's dominant epistemic scripts and relax them by permitting IS scholarship that more fluidly accommodates alternative forms of knowledge production. This will push IS inquiry to the "edges" and emphasize, on the one hand, inductive, rich inquiries using innovative and extensive data sets and, on the other hand, novel, genuine, high-level theorizing around germane conceptual relationships between IT, information and its (semiotic) representations, and social behaviors. We offer several exemplars of such inquiries and their results. To promote this push, we invite alternative institutionalized forms of publishing and reviewing. We conclude by inviting individual scholars to be more open to practices that permit richer theorizing. These recommendations will broaden the field's knowledge ecology and permit the creation of good IS knowledge over just getting "hits. " We surmise that, if such changes are carried out, the field can look confidently toward its future as one of the epicenters of organizational inquiry that deal with the central forces shaping human enterprise in the 21st century.
Comparative effects of different uptake inhibitor antidepressants in two pain tests in mice

Summary— The purpose of this study was to compare the analgesic effect of acute injections (1.25 and 20 mg/kg, ip) of several anti‐depressants with different effects on monoamine reuptake, on two pain tests in mice (hot‐plate and phenylbenzoquinone‐induced abdominal writhes). Serotonergic inhibitors (citalopram, fluvoxamine and clomipramine) were more effective in the hot‐plate test whereas noradrenaline reuptake inhibitors (desipramine and maprotilline) were more effective in the writhing test. The mixed antidepressants (amitriptyline and to a lesser degree trimipramine) were more effective in the two tests than the other antidepressant drugs. Changes in motor activity of clomipramine and amitriptyline could not account for the modifications of pain threshold. Amineptine (a dopamine reuptake inhibitor) failed to induce any antinociceptive effect in the hot‐plate test and was hyperalgesic in the writhing test, which could be explained by an increased motor activity. These findings indicate that the antinociceptive potency of reuptake inhibitors varies according to their monoamine specificity and the nature of stimuli. They would suggest that the preferential choice of serotonergic antidepressants in the management of chronic pain is arguable.
A Self-regulation Perspective on Hidden-profile Problems: If-Then Planning to Review Information Improves Group Decisions

In hidden-profile (HP) problems, groups squander their potential to make superior decisions because members fail to capitalize on each other's unique knowledge (unshared information). A new self-regulation perspective suggests that hindrances in goal striving (e.g., failing to seize action opportunities) contribute to this problem. Implementation intentions (if–then plans) are known to help deal with hindrances in goal striving; therefore, supporting decision goals with if–then plans should improve the impact of unshared information on group decisions. Indeed, in line with past research, control participants in two experiments rarely identified the best alternative despite monetary incentives and setting decision goals. In contrast, simply adding if–then plans to review advantages of the non-preferred alternatives before making the final decision significantly increased solution rates. Process manipulations (Experiment 1) and measures (Experiment 2) indicate that conceptualizing HP problems as a self-regulation challenge provides explanatory power beyond existing accounts. Copyright © 2014 John Wiley & Sons, Ltd.
Attention Selectively Reshapes the Geometry of Distributed Semantic Representation

Humans prioritize different semantic qualities of a complex stimulus depending on their behavioral goals. These semantic features are encoded in distributed neural populations, yet it is unclear how attention might operate across these distributed representations. To address this, we presented participants with naturalistic video clips of animals behaving in their natural environments while the participants attended to either behavior or taxonomy. We used models of representational geometry to investigate how attentional allocation affects the distributed neural representation of animal behavior and taxonomy. Attending to animal behavior transiently increased the discriminability of distributed population codes for observed actions in anterior intraparietal, pericentral, and ventral temporal cortices. Attending to animal taxonomy while viewing the same stimuli increased the discriminability of distributed animal category representations in ventral temporal cortex. For both tasks, attention selectively enhanced the discriminability of response patterns along behaviorally relevant dimensions. These findings suggest that behavioral goals alter how the brain extracts semantic features from the visual world. Attention effectively disentangles population responses for downstream read-out by sculpting representational geometry in late-stage perceptual areas.
Downregulation of muscarinic M2 receptors linked to K+ current in cultured guinea‐pig atrial myocytes.

1. Desensitization of muscarinic K+ current (IK(ACh)) was studied in cultured atrial myocytes from guinea‐pig hearts using whole‐cell voltage clamp. 2. Three different types of desensitization could be identified. A fast component which upon rapid superfusion with ACh resulted in a partial relaxation of IK(ACh) within a few seconds to a plateau which was maintained in the presence of ACh. Recovery from this type of desensitization paralleled the decay of IK(ACh) after washout of the agonist. A second type of desensitization was observed within minutes. This was reversed around 10 min after washout of ACh. Both types were heterologous with regard to the A1 receptor and the novel phospholipid (Pl) receptor, both of which activate IK(ACh) via the same signalling pathway. 3. A third type of desensitization (downregulation) occurred upon exposure of the cultures for 24‐48 h to the muscarinic agonist carbachol (CCh). The level of downregulation depended on the concentration of CCh (0.1 microM < or = [CCh] < or = 10 microM). No recovery was observed within 5 h after washout of CCh. Thereafter sensitivity to ACh slowly returned (half‐time (t1/2), approximately 20 h). 4. Downregulation by CCh (0.1‐5 microM) was characterized by an increase in EC50 for ACh with no reduction in maximum IK(ACh). With 5 microM CCh, EC50 was increased from 0.1 to 3.7 microM. At 10 microM CCh EC50 was increased to 15 microM and maximal current that could be evoked by ACh was reduced to 15%. 5. Downregulation by CCh was homologous with regard to A1 and Pl receptors. Maximum IK(ACh), assayed by a saturating concentration of Pl, was not reduced in downregulated cells, suggesting a mechanism localized at the M2 receptor. 6. The changes in the concentration‐response curves can be accounted for by assuming an excess of M2 receptors relative to the subsequent component of the signalling pathway. 7. As the intact heart is under tonic vagal control, downregulation is likely to contribute to controlling the sensitivity of the heart to vagal activity in situ.
Genetic Variation in DNA Repair Pathways and Risk of Non-Hodgkin's Lymphoma

Molecular and genetic evidence suggests that DNA repair pathways may contribute to lymphoma susceptibility. Several studies have examined the association of DNA repair genes with lymphoma risk, but the findings from these reports have been inconsistent. Here we provide the results of a focused analysis of genetic variation in DNA repair genes and their association with the risk of non-Hodgkin's lymphoma (NHL). With a population of 1,297 NHL cases and 1,946 controls, we have performed a two-stage case/control association analysis of 446 single nucleotide polymorphisms (SNPs) tagging the genetic variation in 81 DNA repair genes. We found the most significant association with NHL risk in the ATM locus for rs227060 (OR = 1.27, 95% CI: 1.13–1.43, p = 6.77×10−5), which remained significant after adjustment for multiple testing. In a subtype-specific analysis, associations were also observed for the ATM locus among both diffuse large B-cell lymphomas (DLBCL) and small lymphocytic lymphomas (SLL), however there was no association observed among follicular lymphomas (FL). In addition, our study provides suggestive evidence of an interaction between SNPs in MRE11A and NBS1 associated with NHL risk (OR = 0.51, 95% CI: 0.34–0.77, p = 0.0002). Finally, an imputation analysis using the 1,000 Genomes Project data combined with a functional prediction analysis revealed the presence of biologically relevant variants that correlate with the observed association signals. While the findings generated here warrant independent validation, the results of our large study suggest that ATM may be a novel locus associated with the risk of multiple subtypes of NHL.
5.6 A 0.13μm fully digital low-dropout regulator with adaptive control and reduced dynamic stability for ultra-wide dynamic range

This paper presents a discrete-time, fully digital, scan-programmable LDO macro in 0. 13μm technology featuring greater than 90% current efficiency across a 50× current range, and 8× improvement in transient response time in response to large load steps. The baseline design features a 128b barrel shifter that digitally controls 128 identical power PMOS devices to provide load and line regulation at the node VREG, for a scan-programmable fine-grained synthetic load. A clocked comparator, which eliminates the need for any bias current, controls the direction of shift, D. The programmable mux-select signals, MUX1 and MUX2, provide controllable closed loop gains, KBARREL, of 1 to 3×. Since at any clock edge only 1, 2 or 3 shifts can occur (depending on the gain setting), fine-grained clock gating is enabled by dividing the 128b shifter into four sections and only enabling the clock to the section(s) where the shift occurs.
Beyond Hofstede : culture frameworks for global marketing and management

PART I INTRODUCTION AND OVERVIEW 1. Going Beyond Hofstede: Why We Need to and How C.Nakata PART II REVIEWS AND CRITIQUES OF CULTURE FRAMEWORKS So What Kind of Atheist Are You? Exploring Cultural Universals and Differences P.Christopher Earley Beyond Hofstede: Challenging the Ten Commandments of Cross-Cultural Research V.Taras & P.Steel Culture Theories in Global Marketing: A Literature-Based Assessment C.Nakata & E.Izberk-Bilgin PART III CONCEPTUALIZATIONS OF THE CULTURE PROBLEM Culture in Context: New Theorizing for Today's Complex Cultural Organizations M.Yoko Brannen Reflexive Culture's Consequences S.Askegaard , D.Kjeldgaard , & E.J.Arnould PART IV EXTENSIONS OF AND ADVANCES IN CULTURE FRAMEWORKS Impact of Culture on Cross-Cultural Research S.P.Douglas & C.Samuel Craig Conceptualizing Culture as Communication in Management and Marketing Research W.L.Adair , N.R. Buchan & X.Chen Cultural Influence on Consumer Motivations: A Dynamic View D.A. Briley PART V ALTERNATIVE CULTURE FRAMEWORKS AND PERSPECTIVES Shifting Perspectives: Multiple Cultures and Community Embeddedness in an Anglo-German MNC F.Moore Using Mental Models to Study Cross-Cultural Interactions L.A. Liu & C.Dale PART VI REFLEXIVE CONSIDERATIONS Reflexive Considerations of Culture Theories in Global Marketing C.Nakata INDEX
Robust Scene Text Recognition with Automatic Rectification

Recognizing text in natural images is a challenging task with many unsolved problems. Different from those in documents, words in natural images often possess irregular shapes, which are caused by perspective distortion, curved character placement, etc. We propose RARE (Robust text recognizer with Automatic REctification), a recognition model that is robust to irregular text. RARE is a speciallydesigned deep neural network, which consists of a Spatial Transformer Network (STN) and a Sequence Recognition Network (SRN). In testing, an image is firstly rectified via a predicted Thin-Plate-Spline (TPS) transformation, into a more "readable" image for the following SRN, which recognizes text through a sequence recognition approach. We show that the model is able to recognize several types of irregular text, including perspective text and curved text. RARE is end-to-end trainable, requiring only images and associated text labels, making it convenient to train and deploy the model in practical systems. State-of-the-art or highly-competitive performance achieved on several benchmarks well demonstrates the effectiveness of the proposed model.
Event-Related Repetitive Transcranial Magnetic Stimulation of Posterior Superior Temporal Sulcus Improves the Detection of Threatening Postural Changes in Human Bodies

Perceiving others' emotions through their body movements and postures is crucial for successful social interaction. While imaging studies indicate that perceiving body emotions relies upon a wide network of subcortico-cortical neural regions, little is known on the causative role of different nodes of this network. We applied event-related repetitive transcranial magnetic stimulation (rTMS) over nonfacial, body- and action-related extrastriate (EBA), temporal (pSTS), and premotor (vPM) cortices to test their active contribution in perceiving changes between two successive images of either threatening or neutral human body or animal postures. While stimulation of EBA and vPM showed no selective effect on threatening stimuli with respect to neutral ones, rTMS over pSTS selectively impaired neutral posture detection and increased the accuracy in detecting changes of threatening human postures with respect to all other experimental conditions. No such effect was found for animal stimuli. These results support the notion that pSTS is crucially devoted to the detection of socially relevant information concerning others' actions, fostering the notion that amygdalo-temporo-cortical modulatory connections mediate perception of emotionally salient body postures.
An Economical Custom-Built Drone for Assessing Whale Health

Drones or unmanned Aerial Vehicles’ (UAVs) have huge potential to improve the safety and efficiency of sample collection from wild animals under logistically challenging circumstances. Here we present a method for surveying population health that uses UAVs to sample respiratory vapour, ‘whale blow’, exhaled by free-swimming humpback whales (Megaptera novaeangliae), and coupled this with amplification and sequencing of respiratory tract microbiota. We developed a low-cost multirotor UAV incorporating a sterile petri dish with a remotely operated ‘flip lid’ to sample whale blow with minimal disturbance to the whales. This design addressed several sampling challenges: accessibility; safety; cost, and critically, minimized the collection of atmospheric and seawater microbiota and other potential sources of sample contamination. We collected 59 samples of blow from northward migrating humpback whales off Sydney, Australia and used high throughput sequencing of bacterial ribosomal gene markers to identify putative respiratory tract microbiota. Model-based comparisons with seawater and drone-captured air demonstrated that our system minimized external sources of contamination and successfully captured sufficient material to identify whale blow-specific microbial taxa. Whale-specific taxa included species and genera previously associated with the respiratory tracts or oral cavities of mammals (e.g. Pseudomonas, Clostridia, Cardiobacterium), as well as species previously isolated from dolphin or killer whale blowholes (Corynebacteria, others). Many examples of exogenous marine species were identified, including Tenacibaculum and Psychrobacter spp. that have been associated with the skin microbiota of marine mammals and fish and may include pathogens. This information provides a baseline of respiratory tract microbiota profiles of contemporary whale health. Customized UAVs are a promising new tool for marine megafauna research and may have broad application in cost-effective monitoring and management of whale populations worldwide.
Impact of filter cigarette smoking on lung cancer histology.

BACKGROUND The rates of lung adenocarcinoma cancer have risen more rapidly than the rates of lung squamous cell cancer over the past 2 decades. METHODS A case-control study was carried out to assess the impact of long-term filter cigarette smoking on the risk of squamous cell carcinoma (SCC) and adenocarcinoma (AC) of the lung. RESULTS Odds ratios for SCC among subjects who had smoked only filter cigarettes were reduced relative to lifetime nonfilter cigarette smokers by 30% for men and by 60% for women, but no risk reduction was observed for AC of the lung. CONCLUSION The predominance of AC over SCC may be due in part to the fact that smokers of very low yield cigarettes tend to compensate for the lower nicotine levels by inhaling more deeply and frequently, leading to greater exposure of the peripheral lung to the carcinogens in tobacco smoke, and in part to the increased concentration of nitrosamines that preferentially produce AC in laboratory animals.
Induction of the Early Growth Response (Egr) Family of Transcription Factors during Thymic Selection

There is little known about the regulation of gene expression during TCR-mediated differentiation of immature CD4+8+ (double positive) thymocytes into mature T cells. Using the DPK CD4+8+thymocyte precursor cell line, we demonstrate that the early growth response-1 gene (Erg-1), encoding a zinc finger transcription factor, is rapidly upregulated after TCR stimulation. We also report that Egr-1 is expressed by a subset of normal double positive thymocytes in the thymic cortex, as well by a majority of medullary single positive thymocytes. Expression of Egr-1 is dramatically reduced in the thymus of major histocompatibility complex knockout mice, but can be induced by anti-CD3 antibody stimulation of isolated thymocytes from these animals. These and other data suggest that high level expression of Egr-1 in the thymus is a consequence of selection. A similar pattern of expression is found for family members Egr-2 and Egr-3. Using the DPK cell line, we also demonstrate that expression of Egr-1, 2, and 3 is dependent upon ras activation, as is the initiation of differentiation to a single positive cell. In contrast, the calcineurin inhibitor cyclosporin A, which inhibits DPK cell differentiation as well as positive selection, inhibits expression of Egr-2 and Egr-3, but not Egr-1. The identification of the Egr family in this context represents the first report of a link between the two known signaling pathways involved in positive selection and downstream transcriptional regulators.
Clinical significance of migration and invasion inhibitor protein expression in non-small-cell lung cancer

Migration and invasion inhibitor protein (MIIP) was initially identified in a yeast two-hybrid screen. Recently, MIIP has emerged as a key protein in regulating cell migration and invasion. However, the MIIP expression profile in non-small-cell lung cancer (NSCLC) has not been analyzed. In the present study, MIIP mRNA expression levels were evaluated using the SYBR Green quantitative real-time polymerase chain reaction method in 37 NSCLC specimens and matched normal tissue samples. MIIP protein expression in a further 94 NSCLC specimens was examined with immunohistochemistry. Patient survival data were collected retrospectively, and the association between MIIP protein expression and the five-year overall survival rate was evaluated. The results revealed that MIIP mRNA and protein expression were downregulated in cancer tissues, as compared with the matched normal tissues. MIIP expression levels were significantly associated with pathology and tumor stage, with reduced MIIP mRNA expression levels detected in advanced tumor stage samples. Furthermore, patients with MIIP-positive protein expression had an improved prognosis as compared with those patients with MIIP-negative protein expression, with five-year survival rates of 41.7 and 22.4%, respectively (Kaplan-Meier, log-rank, P=0.028). A significant association between MIIP protein expression and improved prognosis was also demonstrated using univariate and multivariate analyses (P=0.033 and P=0.040, respectively). These results suggest that MIIP may have a potential role in the pathogenesis of NSCLC and also confirm that MIIP is a putative tumor-suppressor gene. Therefore, MIIP may be identified as a functional genetic marker of NSCLC development and prognosis, and may be an attractive therapeutic target for the treatment of lung cancer.
Problem Diagnosis in Large-Scale Computing Environments

We describe a new approach for locating the causes of anomalies in distributed systems. Our target environment is a distributed application that contains multiple identical processes performing similar activities. We use a new, lightweight form of dynamic instrumentation to collect function-level traces from each process. If the application fails, the traces are automatically compared to each other. We find anomalies by identifying processes that stopped earlier than the rest (sign of a fail-stop problem) or processes that behaved different from the rest (sign of a non-fail-stop problem). Our algorithm does not require reference data to distinguish anomalies from normal behaviors. However, it can make use of such data when available to reduce the number of false positives. Ultimately, we identify a function that is likely to explain the anomalous behavior. We demonstrated the efficacy of our approach by finding two problems in a large distributed cluster environment called SCore