Miracle-dz/UniFAR-FTUs huggingface dataset:
High Angular Resolution Mid-Infrared Imaging of Young Stars in Orion BN/KL

We present Keck Long Wavelength Spectrometer images of the Orion BN/KL star-forming region obtained in the first multiwavelength study to have 0. ″3-0. ″5 resolution from 4.7 to 22 μm. The young stellar objects designated infrared source n and radio source I are believed to dominate the BN/KL region. We have detected extended emission from a probable accretion disk around source n but infer a stellar luminosity on the order of only 2000 L☉. Although source I is believed to be more luminous, we do not detect an infrared counterpart even at the longest wavelengths. However, we resolve the close-by infrared source, IRc2, into an arc of knots ~103 AU long at all wavelengths. Although the physical relation of source I to IRc2 remains ambiguous, we suggest that these sources mark a high-density core (107-108 pc-3 over ~103 AU) within the larger BN/KL star-forming cluster. The high density may be a consequence of the core being young and heavily embedded. We suggest that the energetics of the BN/KL region may be dominated by this cluster core rather than one or two individual sources.
Modelling of junctions with edges in surface integral equations

When the surface integral equation method is applied to study metallic structures with junctions and sharp edges a special procedure to handle the basis functions and the unknowns is required. The paper presents a method to handle junctions of patches with sharp edges. At the Conference, numerical results for current density distributions and scattered fields of complex PEC structures containing sharp edges will be presented to validate the proposed method.
All-atomic source of squeezed vacuum with full pulse-shape control

We report on the generation of pulses of a low-frequency squeezed vacuum with noise suppression >2 dB below the standard quantum limit in a hot resonant 87Rb vapour with polarization self-rotation. We demonstrate the possibility of precisely controlling the temporal profile of the squeezed noise quadrature by applying a calibrated longitudinal magnetic field, without degrading the maximum amount of squeezing.
INTERFEROME: the database of interferon regulated genes

INTERFEROME is an open access database of types I, II and III Interferon regulated genes (http://www.interferome.org) collected from analysing expression data sets of cells treated with IFNs. This database of interferon regulated genes integrates information from high-throughput experiments with annotation, ontology, orthologue sequences from 37 species, tissue expression patterns and gene regulatory information to enable a detailed investigation of the molecular mechanisms underlying IFN biology. INTERFEROME fulfils a need in infection, immunity, development and cancer research by providing computational tools to assist in identifying interferon signatures in gene lists generated by high-throughput expression technologies, and their potential molecular and biological consequences.
MEASURING GROUP MODEL BUILDING INTERVENTION IMPACT THROUGH PREFERENCE ELICITATION

This paper addresses a gap in the System Dynamics literature, concerning the role of participants' goals and preferences in Group Model Building interventions. More specifically the paper discusses the role of changes in individual preference structures and the possibility to detect such changes with the use of traditional judgment modelling techniques. A review of the literature suggests that the importance of individual preferences has already been discussed in SD, and that their relevance is even higher to the Group Model Building setting where consensus and shared understanding of a problem situation is a key deliverable. The main proposition is that eliciting and structuring individual preferences from participants in the beginning and the end of the intervention can: (1) inform us about possible interpersonal conflicts on a value level, and (2) help us capture the effect of the intervention on individual preference structures. Several alternative methodologies for structuring objectives and measuring preferences are discussed and a suggestion is made that SMARTER and MACBETH seem to be most applicable in a Group Model Building intervention. This author emphasizes on the fact that this is a purely theoretical inquiry into the subject and suggests that a follow-up case study should be made.
Delayed Hypoxemia Following Traumatic Brain Injury Exacerbates White Matter Injury

Hypoxemia immediately following traumatic brain injury (TBI) has been observed to exacerbate injury. However, it remains unclear whether delayed hypoxemia beyond the immediate postinjury period influences white matter injury. In a retrospective clinical cohort of children aged 4–16 years admitted with severe TBI, 28/74 (35%) patients were found to experience delayed normocarbic hypoxemia within 7 days of admission. Based on these clinical findings, we developed a clinically relevant mouse model of TBI with delayed hypoxemia by exposing 5-week old (adolescent) mice to hypoxic conditions for 30 minutes starting 24 hours after moderate controlled cortical impact (CCI). Injured mice with hypoxemia had increased axonal injury using both &bgr;-amyloid precursor protein and NF200 immunostaining in peri-contusional white matter compared with CCI alone. Furthermore, we detected increased peri-contusional white matter tissue hypoxia with pimonidazole and augmented astrogliosis with anti-glial fibrillary acidic protein staining in CCI + delayed hypoxemia compared with CCI alone or sham surgery + delayed hypoxemia. Microglial activation as evidenced by Iba1 staining was not significantly altered by delayed hypoxemia. These clinical and experimental data indicate the prevention or amelioration of delayed hypoxemia effects following TBI may provide a unique opportunity for the development of therapeutic interventions to reduce axonal injury and improve clinical outcomes.
MLL and CALM are fused to AF10 in morphologically distinct subsets of acute leukemia with translocation t(10;11): both rearrangements are associated with a poor prognosis.

The translocation t(10;11)(p13;q14) has been observed in acute lymphoblastic leukemia (ALL) as well as acute myeloid leukemia (AML). A recent study showed a MLL/AF10 fusion in all cases of AML with t(10;11) and various breakpoints on chromosome 11 ranging from q13 to q23. We recently cloned CALM (Clathrin Assembly Lymphoid Myeloid leukemia gene), the fusion partner of AF10 at 11q14 in the monocytic cell line U937. To further define the role of these genes in acute leukemias, 10 cases (9 AML and 1 ALL) with cytogenetically proven t(10;11)(p12-14;q13-21) and well-characterized morphology, immunophenotype, and clinical course were analyzed. Interphase fluorescence in situ hybridization (FISH) was performed with 2 YACs flanking the CALM region, a YAC contig of the MLL region, and a YAC spanning the AF10 breakpoint. Rearrangement of at least one of these genes was detected in all cases with balanced t(10;11). In 4 cases, including 3 AML with immature morphology (1 AML-M0 and 2 AML-M1) and 1 ALL, the signals of the CALM YACS were separated in interphase cells, indicating a translocation breakpoint within the CALM region. MLL was rearranged in 3 AML with myelomonocytic differentiation (2 AML-M2 and 1 AML-M5), including 1 secondary AML. In all 3 cases, a characteristic immunophenotype was identified (CD4+, CD13-, CD33+, CD65s+). AF-10 was involved in 5 of 6 evaluable cases, including 1 case without detectable CALM or MLL rearrangement. In 2 complex translocations, none of the three genes was rearranged. All cases had a remarkably poor prognosis, with a mean survival of 9.6 +/- 6.6 months. For the 7 AML cases that were uniformly treated according to the AMLCG86/92 protocols, disease-free and overall survival was significantly worse than for the overall study group (P = .03 and P = .01, respectively). We conclude that the t(10;11)(p13;q14) indicates CALM and MLL rearrangements in morphologically distinct subsets of acute leukemia and may be associated with a poor prognosis.
Schedule Swapping: A Technique for Temperature Management of Distributed Embedded Systems

A distributed embedded system consists of different processing elements (PEs) communicating via communication links. PEs have various power characteristics and in turn, have different thermal profiles. With new technologies, processor power density is dramatically increased which results in high temperature. This alarming trend underscores the importance of temperature management methods in system design. The majority of proposed techniques to address thermal issues, impose severe penalties on performance and reliability. We present Schedule Swapping, a technique for reducing peak temperature in distributed embedded systems while satisfying real-time constraints. Contrary to many other approaches, our proposed technique does not use slack time for reducing power dissipation but leaves it to be used by recovery mechanisms (rollback re-execution). The more slack time, the more the number of possible recoveries and the more reliability. We also introduce a simple yet effective scheme to ensure that all the deadlines will be met if our technique is used. This scheme also determines the order in which tasks should transmit their data in Schedule Swapping. Our experimental results show up to 18.1C reduction in peak temperature. On average, Schedule Swapping achieves the peak temperature reduction of 11.13C.
The relationship between perceived organizational support and affective commitment: More than reciprocity, it is also a question of organizational identification

Two distinct perspectives have emerged in the literature to explain the relationship between perceived organizational support (POS) and affective commitment (AC): a social exchange perspective and, more recently, a social identity perspective. However, these views have never been considered together. Filling this gap, our study aims to examine the conjoint role of felt obligation (i.e., the social exchange perspective) and organizational identification (i.e., the social identity perspective) in the relationship between POS and AC. Based on two different samples, our results indicate that both felt obligation and organizational identification partially mediate the relationship between POS and AC. In sum, this research shows that the two mechanisms play a concomitant role in the link between POS and AC.
ConnectionsoftheDorsomedialVisualArea:Pathwaysfor EarlyIntegrationofDorsalandVentralStreamsin ExtrastriateCortex

Thedorsomedialarea(DM),asubdivisionofextrastriatecortexcharacterizedbyheavymyelinationandrelativeemphasisonperipheral vision,remainstheleastunderstoodofthemaintargetsofstriatecortex(V1)projectionsinprimates.Hereweplacedretrogradetracer injections encompassing the full extent of this area in marmoset monkeys, and performed quantitative analyses of the numerical strengths and laminar patterns of its afferent connections. We found that feedforward projections from V1 and from the second visual area(V2)accountforoverhalfoftheinputstoDM,andthatthevastmajorityoftheremainingconnectionscomefromothertopographically organized visual cortices. Extrastriate projections to DM originate in approximately equal proportions from adjacent medial occipitoparietal areas, from the superior temporal motion-sensitive complex centered on the middle temporal area (MT), and from ventral stream-associated areas. Feedback from the posterior parietal cortex and other association areas accounts for 10% of the connections.TheseresultsdonotsupportthehypothesisthatDMisspecificallyassociatedwithamedialsubcircuitofthedorsalstream, importantforvisuomotorintegration.Instead,theysuggestanearly-stagevisual-processingnodecapableofcontributingacrosscortical streams, much as V1 and V2 do. Thus, although DM may be important for providing visual inputs for guided body movements (which often depend on information contained in peripheral vision), this area is also likely to participate in other functions that require integrationacrosswideexpansesofvisualspace,suchasperceptionofself-motionandcontourcompletion.
Prejudiced People Perceive More Community Support for Their Views: The Role of Own, Media, and Peer Attitudes in Perceived Consensus

People often overestimate others' support for their views (false consensus effect). Recent research has shown that this is particularly marked in the relation between perceived consensus and prejudice. The current research asked whether this partly arises in an in-group stereotype of the community as prejudiced. We investigated relations between different sources of normative information (self, media, peers), estimates of community attitudes, and perceived consensus in a sample of 135 community members. Media prejudice predicted community attitudes, and this further predicted consensus. However, strongest was a direct relation between own prejudice and perceived consensus. The results indicate a desire to appear nonprejudiced, relative to others. Confronting prejudiced people with information about community norms is a promising intervention under these circumstances.
A filterbank approach to window designs for multicarrier systems

Windowing is often applied to multicarrier systems to improve frequency separation among the subcarriers. At the transmitter side better frequency separation leads to a smaller out-of-band spectral leakage and also less interference to radio frequency transmission. At the receiver side better separation gives more suppression of radio frequency interference. As these are frequency based characteristics, a filterbank representation presents a natural and useful framework for formulating the problem. In this work, we propose a unified filterbank approach to the design of windows for multicarrier systems. The filterbank viewpoint provides an additional insight into the transmitter design for spectral leakage reduction as well as to the receiver design for interference suppression. A better frequency separation among the subchannels can be achieved.
Mice Null for Sox18 Are Viable and Display a Mild Coat Defect

ABSTRACT We have previously shown that Sox18 is expressed in developing vascular endothelium and hair follicles during mouse embryogenesis and that point mutations in Sox18 are the underlying cause of cardiovascular and hair follicle defects inragged (Ra) mice. Here we describe the analysis of Sox18 −/− mice produced by gene targeting. Despite the profound defects seen in Ra mice,Sox18 −/− mice have no obvious cardiovascular defects and only a mild coat defect with a reduced proportion of zigzag hairs. A reduction in the amount of pheomelanin pigmentation in hair shafts was also observed; later-forming hair follicles showed a reduced subapical pheomelanin band, giving Sox18 −/−mice a slightly darker appearance than Sox18 +/+and Sox18 +/− siblings.Sox18 −/− mice are viable and fertile and show no difference in the ability to thrive relative to littermates. Because of the mild effect of the mutation on the phenotype ofSox18 −/− mice, we conclude that the semidominant nature of the Ra mutations is due to atrans-dominant negative effect mediated by the mutant SOX18 proteins rather than haploinsufficiency as has been observed for otherSOX genes. Due to the similarity of SOX18 to other subgroup F SOX proteins, SOX7 and −17, and the overlap in expression of these genes, functional redundancy amongst these SOX proteins could also account for the mild phenotype of Sox18 −/−mice.
Investigating formal representations of PIN block attacks

Abstract Financial security APIs control the use of tamper-proof hardware security mod-ules (HSMs) that are used in cash machine networks. The idea is that the APIkeeps the system secure even from corrupt insiders. Recently, several attacks havebeen found on these APIs, attracting the attention of formal methods researchersto the area. One family of attacks involves cracking PIN values by tweaking in-puts to API functions away from their usual values and watching for errors. Theseso-called “PIN block attacks” aﬀect many APIs. A framework has been proposedfor modelling them as Markov Decision Processes, and analysing the resultingmodels using probabilistic model checking, in order to asses how vulnerable anAPI conﬁguration is. One problem of this framework is that the models producedare very large, and thus it often takes considerable time to analyse them.The objective of this thesis is to investigate and implement alternative waysof representing the models of PIN block attacks, aiming at increasing their com-pactness, and consequently making their analysis more eﬃcient in terms of timeand memory requirements. The great amount of symmetry inherent in the modelis one of the main characteristics that will draw our attention, since it is respon-sible for a lot of redundant operations. We experiment with our approaches ona number of diﬀerent security API conﬁgurations, and evaluate the results. Weargue that the eﬃciency of the probabilistic model checker depends on a numberof issues, that should be taken into account during the modelling of real-worldsystems, in order to achieve faster performance and avoid memory overloads.iii
The Balance of Power: Interpersonal Consequences of Differential Power and Expectancies

The cognitive and behavioral effects of perceived power and expected partner competence were examined in a task-oriented dyadic interaction. Specifically, the authors manipulated the effects of power and expectancy on social information processing during and subsequent to a dyadic problem-solving interaction. In addition, dispositional power orientation was measured. Results indicated that perceiver power led to self-enhancement and derogation of the target and both perceiver and target awareness of perceiver power moderated the effects of interpersonal expectancies. Furthermore, there are important differences between situational power and dispositional dominance orientation. These results advance current models of power and suggest the pervasiveness of power effects in our interactions with others.
Long-range temporal correlations in resting EEG: Its associations with depression-related emotion regulation strategies.

Several studies have reported differences in long-range temporal correlations of EEG oscillations between depressed and nondepressed individuals. The question remains unsolved whether these differences are also linked to negative emotion regulation strategies that configure a depressive style. In this study we applied detrended fluctuation analysis to the amplitude envelope of broad band and narrow band (theta and alpha) spontaneous EEG oscillations of a sample (N = 56) of young nondepressed adults to whom several emotion regulation and depression questionnaires were administered. Linear positive correlations between the scaling exponents of both broad band and theta band oscillations and negative emotion regulation strategies and depression scores were found. These results suggest that previously found differences between depressed and nondepressed individuals may exist before depression manifests, as differences could be linked to a negative emotion regulation style that in some cases could lead to the .
New Observations on Decremental Atriofascicular and Nodofascicular Fibers: Implications for Catheter Ablation

Introduction: The purpose of this study was to characterize the anatomy and physiology of accessory pathways that exhibit anterograde decremental conduction. Results: Among 100 consecutive patients with an accessory pathway undergoing electrophysiological study, six individuals with decremental anterograde accessory pathway conduction were identified. Anterograde accessory pathway effective refractory periods and conduction curves were assessed by atrial extrastimulus testing. Atrial pace mapping and ventricular activation sequence mapping were used to define accessory pathway origin and insertion. Surgical ablation (N = 1) or radiofrequency catheter ablation (N = 3) was performed based on accessory pathway anatomy as determined during electrophysiological study. Four of 6 patients had gaps in anterograde accessory pathway conduction. Two patients had evidence of functional longitudinal dissociation in the accessory pathway. Five of 6 patients had atriofascicular fibers with an atrial rather than AV nodal site of origin of their decrementally conducting accessory pathway and with distal insertions in the right bundle branch. Among these five patients, a right posterior atrial origin was nearly as common as a right anterior atrial origin. One patient had a true nodofascicular fiber that arose from the AV node, inserting distally into the left bundle branch. Conclusion: Most accessory pathways with anterograde decremental conduction arise from the right anterior or right posterior atrium, not the AV node. A gap in anterograde accessory pathway conduction and functional longitudinal dissociation are common in such accessory pathways. Surgical or catheter ablation of such pathways is effective when directed at the atrial origin of the accessory pathway. True nodofascicular fibers arising from the AV node are rare. These may insert distally in the left ventricle. Catheter ablation of the proximal origin of such fibers is likely to result in complete AV block.
ON THE VALUATION OF LOAN GUARANTEES UNDER STOCHASTIC INTEREST RATES

The authors thank William Beranek, David Laughton, William Megginson, Jim Musumeci, Barry Schachter, Louis Scott, Joseph Sinkey, Arthur Snow and Pierre Yourougou for their comments on an infant version of this paper. We are indebted to Peter Carr for suggesting the derivation technique used in the paper. All errors are those of the authors. Financial support from the Social Sciences and Humanities Research of Canada and the Natural Sciences and Engineering Research Council of Canada is gratefully acknowledged.
An Evaluation of Machine Learning Method for Intrusion Detection System Using LOF on Jubatus

The network intrusion is becoming a big threat for a lot of companies, organization and so on. Recent intrusions are becoming more clever and difficult to detect. Many of today's intrusion detection systems are based on signature-based. They have good performance for known attacks, but theoretically they are not able to detect unknown attacks. On the other hand, an anomaly detection system can detect unknown attacks and is getting focus recently. We study an anomaly detection system as one application area of machine learning technology. In this paper, we study the effectiveness and the performance experiments of one of the major anomaly detection scales, LOF, on distributed online machine learning framework, Jubatus. After basic experiment, we propose a new machine learning method and show our new method has a better performance than the original method.