Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovery of a Very Young Field L Dwarf, 2MASS J01415823–4633574

While following up L dwarf candidates selected photometrically from the Two Micron All Sky Survey, we uncovered an unusual object designated 2MASS J01415823-4633574. Its optical spectrum exhibits very strong bands of vanadium oxide but abnormally weak absorptions by titanium oxide, potassium, and sodium. Morphologically, such spectroscopic characteristics fall intermediate between old field early-L dwarfs [log(g) ≈ 5] and very late M giants [log(g) ≈ 0], leading us to favor low gravity as the explanation for the unique spectral signatures of this L dwarf. Such a low gravity can be explained only if this L dwarf is much lower in mass than a typical old field L dwarf of similar temperature and is still contracting to its final radius. These conditions imply a very young age. Further evidence of youth is found in the near-infrared spectrum, including a triangular-shaped H-band continuum, reminiscent of young brown dwarf candidates discovered in the Orion Nebula Cluster. Using the above information along with comparisons to brown dwarf atmospheric and interior models, our current best estimate is that this L dwarf has an age of 1-50 Myr and a mass of 6-25MJ. Although the lack of a lithium detection (pseudo-equivalent width <1 Å) might appear to contradict other evidence of youth, we suggest that lithium becomes weaker at lower gravity like all other alkali lines and thus needs to be carefully considered before being used as a diagnostic of age or mass for objects in this regime. The location of 2MASS 0141-4633 on the sky coupled with a distance estimate of ~35 pc and the above age estimate suggests that this object may be a brown dwarf member of either the 30 Myr old Tucana/Horologium association or the ~12 Myr old β Pic moving group. Distance as determined through trigonometric parallax (underway) and a measure of the total space motion are needed to test this hypothesis.
The effects of demand characteristics on the reporting of tip-of-the-tongue and feeling-of-knowing states

We examined the effects of demand characteristics on the frequency and accuracy of reported feeling-of-knowing (FOK) and tip-of-the-tongue (TOT) states. In two experiments, self-presentational demands were manipulated using instructions that led subjects to expect either easy-to-answer questions (high-demand condition) or difficult-to-answer questions (low-demand condition). For unanswered questions, subjects were asked to report whether they were in a TOT state (Experiment 1) or a FOK state (Experiment 2). Results revealed that the self-presentation manipulation affected the frequency of reported TOTs but had no effect on the frequency of reported FOKs, nor was where an effect on the accuracy of reported TOTs and FOKs. The present findings support an explanation of these phenomena that stresses the role of inferential mechanisms in making TOT and FOK judgments.
Mucoadhesive buccal tablets containing silymarin Eudragit-loaded nanoparticles: formulation, characterisation and ex vivo permeation

Abstract Eudragit-loaded silymarin nanoparticles (SNPs) and their formulation into buccal mucoadhesive tablets were investigated to improve the low bioavailability of silymarin through buccal delivery. Characterisation of SNPs and silymarin buccal tablets (SBTs) containing the optimised NPs were performed. Ex vivo permeability of nominated SBTs were assessed using chicken pouch mucosa compared to SNPs and drug suspension followed by histopathological examination. Selected SNPs had a small size (<150 nm), encapsulation effciency (>77%) with drug release of about 90% after 6 h. For STBs, all physicochemical parameters were satisfactory for different polymers used. DSC and FT-IR studies suggested the presence of silymarin in an amorphous state. Ex vivo permeation significantly emphasised the great enhancement of silymarin permeation after NPs formation and much more increase after formulating into BTs relative to the corresponding drug dispersion with confirmed membrane integrity. Incorporation of SNPs into BTs could be an efficient vehicle for delivery of silymarin.
POSSIBILITIES AND LIMITATIONS OF FLEXIBLE WORK ARRANGEMENTS IN THE MILITARY June 2016

Employers widely utilize flexible work arrangements (FWAs) both to improve employee work-life balance and to increase organizational effectiveness. To date, the private sector has embraced FWA to a much larger extent than has the military. In this project, I outline the underpinnings of workplace flexibility and describe how it can potentially improve the military labor market. First, I outline a conceptual framework that addresses the work environment’s dynamics and complexities while assessing the most common benefits and challenges found FWAs. Second, I outline a militarycentered five-phase process that facilitates the implementation of FWAs in the military work environment. The model is not a panacea, but is instead a comprehensive starting point to help management understand the importance of workplace flexibility, the positive effects from the organizations’ and defense members’ perspectives, and the elements of an implementation plan.
Human tumor antigens recognized by T lymphocytes: implications for cancer therapy

The adoptive transfer of cytotoxic T lymphocytes (CTLs) derived from tumor‐infiltrating lymphocytes (TIL) along with interleukin‐2 (IL‐2) into autologous patients with cancer resulted in the objective regression of tumor, indicating that these CTLs recognized cancer rejection antigens on tumor cells. In the past year, a number of such tumor antigens were isolated by the use of cDNA expression systems and biochemical approaches. The majority of tumor antigens identified to date have been found to be nonmutated, self proteins. This raises important questions regarding the mechanism of antitumor activity and autoimmune disease. Several tumor‐specific mutated tumor antigens have also been recently identified, which include cell cyclin‐dependent kinase 4 (CDK4) and β‐catenin. For the first time, a novel human cancer antigen was recently found to be generated by the use of an alternative open reading frame of the previously identified tyrosinase‐related protein‐1 (TRP‐1) gene. The identification of human tumor rejection antigens provides new opportunities for the development of therapeutic strategies against cancer. The potential clinical applications of these tumor antigens will be discussed. J. Leukoc. Biol. 60: 296–309; 1996.
A simple localization system for ad-hoc indoor meetings through wireless connection points

Wireless sensor technologies have become popular in recent years as the cost of electronics decreases. In addition, various sensors were incorporated into a smartphone, which caused the integration of many applications into one device. Navigation is a typical application of a smartphone. A common assumption in navigation is that a person's position has to be known exactly so most papers have focused on the localization process itself rather than customizing it for a specific application. In this paper we will show that complex systems or algorithms are not necessary for the purpose of getting two parties to meet in indoor situations. A robust localization system was implemented using popular sensors in a smartphone and simple localization techniques. We show that this system can localize a person with room-level accuracy to help two people to meet each other in a building.
Metapopulations and metacommunities: combining spatial and temporal perspectives in plant ecology

1. Metapopulation and metacommunity theories occupy a central role in ecology, but can be difficult to apply to plants. Challenges include whether seed dispersal is sufficient for population connectivity, the role of seed banks and problems with studying colonization and extinction in long‐lived and clonal plants. Further, populations often do not occupy discrete habitat patches. Despite these difficulties, we present case studies to illustrate explicit integration of spatial and temporal data in plant ecology.
DC arc flash risk assessments for photovoltaic systems

Due to the lack of a standard for calculation of DC arc flash incident energy (IE) for Photovoltaic (PV) arrays, it has been necessary to rely on different calculation methods presented by various engineers and researchers working in the field. This paper compares the two methods for incident energy calculation that have been previously proposed and discussed and seeks to reconcile these two methods.
Improving EDP in multi-core embedded systems through multidimensional frequency scaling

Energy saving management in multi-core embedded environments has been a challenge for designers. To achieve energy efficiency, most studies consider dynamic frequency scaling on one hardware component only, such as processor or memory — which will most likely also affect performance. This work proposes the use of frequency scaling considering the three most important hardware components altogether: processors, L2 cache, and RAM; seeking for the best set of frequencies for each one of them to improve the Energy-Delay Product (EDP), depending on the application's behavior. Therefore, this work addresses multidimensional frequency scaling for multi-core embedded systems. By evaluating different frequency levels, we show that the EDP can be improved in up to 46.4% when compared to the standard way that the frequencies are configured.
A Selective Hardware / Compiler Approach for Improving

The widening gap between processor and memory speeds renders data locality optimization a very important issue in compilers. Throughout the years hardware designers and compiler writers focused on optimizing data cache locality using intelligent cache management mechanisms and program-level transformations, respectively. While pure compiler-oriented techniques are quite successful in optimizing codes with regular memory access patterns, they are less successful at improving the locality behavior of non-numerical (integer) programs. On the contrary, the hardware techniques such as cache bypassing and dual/split caches are eeective in codes with irregular access patterns. Until now, there has not been signiicant amount of research investigating the interaction between these optimizations. With this work, we try to ll this gap. We also propose a selective hardware/compiler strategy to optimize cache locality for integer, numerical, and mixed codes. In our framework, the role of the compiler is to identify program regions that can be optimized at compile time using loop and data transformations and to mark the unoptimizable regions with special instructions that activate a state-of-the-art hardware mechanism selectively at run-time. Our results show that our technique can improve program performance by as much as 60% with respect to the base connguration and 17% with respect to non-selective hardware/compiler approach.
Modal and guarded characterisation theorems over finite transition systems

Characterisation theorems for modal and guarded fragments of first-order logic are explored over finite transition systems. We show that the classical characterisations in terms of semantic invariance under the appropriate forms of bisimulation equivalence can be recovered at the level of finite model theory. The new, more constructive proofs naturally extend to alternative proofs of the classical variants. The finite model theory version of van Benthem's characterisation of basic modal logic is due to E. Rosen. That proof is simplified and the result slightly strengthened in terms of quantitative bounds. The main theme, however is a uniform treatment that extends to incorporate universal and inverse modalities and guarded quantification over transition systems. Technically, the present treatment exploits first-order locality in the context of a new finitary construction of locally acyclic bisimilar covers. These serve as graded finite analogues of tree unravellings, giving local control over first-order logic infinite bisimilar companion structures.
Classical and Robust Symbolic Principal Component Analysis for Interval Data

Principal component analysis is one of the most popular statistical methods to analyse real data. Therefore, there have been several proposals to extend this methodology to the symbolic data analysis framework, in particular to interval-valued data. In this paper, we deduce the population formulations of four of these algorithms: Centers Method, Vertices Method, Complete Information Principal Component Analysis, and Symbolic Covariance Principal Component Analysis. Based on these theoretical formulations, we propose a general methodology that provides simpliﬁcations, additional insight and uniﬁcation of the discussed methods. Additionally, we derive an explicit and straightforward formula to deﬁne the symbolic principal component scores, equivalent to the representation by Maximum Covering Area Rectangle. Furthermore, the existence of atypical observations could distort the sample symbolic principal components and correspondent scores. To overcome this problem, we propose two families of robust methods for symbolic Principal Component Analysis: one based on robust covariance matrices and another based on Projection Pursuit. A simulation study is conducted to access the performance of these procedures, allowing us to conclude that they can accommodate small deviances from the speciﬁed central model.
Bridging the Gap - A Grounded Theory of Cancer Coaching Experiences

II ACKNOWLEDGEMENTS . VII CHAPTER 1: INTRODUCTION . 1 1.1 BACKGROUND . 1 1.2 Cancer Survivor . 2 1.3 CANCER COACHING PROGRAM . 3 1.3 RESEARCH QUESTIONS & OBJECTIVES . 5 CHAPTER 2: LITERATURE REVIEW . 6 2.1. PSYCHOSOCIAL CHALLENGES AROUND CANCER SURVIVORSHIP . 6 2.1.1 Practical Issues . 7 2.1.2 Emotional / Psychological Issues . 8 2.1.3 Interpersonal issues . 9 2.2 FOLLOW-UP CANCER CARE . 11 2.2.1 Follow-up Care . 12 2.3 COACHING INTERVENTIONS . 14 2.4 SUMMARY . 16 CHAPTER 3: METHODOLOGY . 17 3.1 RESEARCH CONTEXT: THE COACHING INTERVENTION . 17 3.2 RESEARCH DESIGN . 18 3.3 DATA COLLECTION . 19 3.3.1 Population . 19 3.3.2 Recruitment . 20 3.3.3 Interviews . 21 3.4 DATA ANALYSIS . 22 3.5 DATA QUALITY & LIMITATIONS . 26 CHAPTER 4: RESULTS . 30 4.1 PARTICIPANTS . 30 4.2 FINDINGS . 32 4.3 CAUSAL CONDITIONS . 34 4.3.1 Impacts of Cancer and Survivorship Challenges. 34 4.3.2 Personal Needs & Goals . 38 4.4 ACTIONS . 38 4.4.1 The Cancer Coaching Approach . 38 4.5 FACILITATORS . 41 4.5.1 Community Resources . 41 4.5.2 Program Assets . 43 4.5.3 Personal Assets . 45 4.6 BARRIERS . 47 4.6.1 Program Barriers. 47 4.6.2 Personal Barriers. 50 4.7 CONSEQUENCES . 51 4.8 DEMOGRAPHIC DIFFERENCES . 55 MSc Interdisciplinary Health Sciences Thesis SIMARD IV 4.9 SUMMARY . 58 CHAPTER 5: DISCUSSION . 59 5.1 BRIDGING THE GAP . 59 5.2 NEEDS FOR SUPPORT . 63 5.3 A PERSON-TAILORED APPROACH . 64 5.4 FACILITATORS AND BARRIERS TO COACHING EXPERIENCE . 65 5.5 CONSEQUENCES OF CANCER COACHING . 68 5.6 LIMITATIONS OF THE STUDY . 69 CHAPTER 6: CONCLUSION. 71 6.1 CONTRIBUTION TO KNOWLEDGE . 71 6.2 IMPLICATIONS FOR PRACTICE . 72 6.3 FUTURE RESEARCH . 72 REFERENCES . 73 APPENDICES . 81 APPENDIX A: INITIAL CONSULTATION FORM . 81 APPENDIX B: I CAN PLAN . 83 APPENDIX C: CHECK-IN FORM . 85 APPENDIX D: GOAL REVIEW CONSULTATION FORM . 87 APPENDIX E: ETHICS CERTIFICATE . 89 APPENDIX F: RECRUITMENT NOTICE (ENGLISH) . 90 APPENDIX F: RECRUITMENT NOTICE (FRENCH) . 91 APPENDIX G: ORCF INTRODUCTION LETTER (ENGLISH & FRENCH) . 92 APPENDIX H: CONSENT FORM (ENGLISH) . 93 APPENDIX H: CONSENT FORM (FRENCH) . 95 APPENDIX I: DEMOGRAPHIC SURVEY (ENGLISH) . 98 APPENDIX: I: DEMOGRAPHIC SURVEY (FRENCH) . 99 APPENDIX J: INTERVIEW GUIDE (ENGLISH) . 100 ANNEXE J : INTERVIEW QUESTIONS FOR CANCER PATIENT PARTICIPANT (FRENCH) . 102 MSc Interdisciplinary Health Sciences Thesis SIMARD
Effects of the Uncompetitive NMDA Receptor Antagonist Memantine on Hippocampal Long‐term Potentiation, Short‐term Exploratory Modulation and Spatial Memory in Awake, Freely Moving Rats

Chronic treatment of adult male F‐344 rats (9–12 months old) with therapeutically relevant doses of memantine (30 mg/kg/day in chow for <8 weeks) increased the maintenance of long‐term potentiation of field excitatory postsynaptic potentials from perforant path—granule cell hippocampal synapses recorded in the fascia dentata in vivo. In contrast, there was no effect of memantine on baseline synaptic responses or population spikes. Likewise, short‐term exploratory modulation of these hippocampal evoked responses was not different between memantine‐treated and control rats. Both groups of rats were able to learn the spatial version of the Morris water task equally well, but the memantine‐treated group showed a strong tendency to show more selective spatial search patterns in the training quadrant of the water pool during a final probe trial. As such, these studies provide the first electrophysiological evidence that memantine can increase the durability of synaptic plasticity and provide preclinical confirmation of the cognitive improvement seen with memantine in the treatment of demented patients.
Context and Dialogue Control

Dialogues are usually motivated by some underlying, noncommunicative goal. Participants in a dialogue therefore perform two tasks at once: that of trying to achieve the underlying noncommunicative goal, and that of communicating in order to achieve the associated communicative goal. This is reeected in the fact that dialogues consist not only of elements motivated by the underlying task, but also of elements motivated by the communicative task and dealing with aspects that require constant attention in communication, such as ensuring contact, providing feedback, monitoring the attention, taking turns, repairing communicative failures, etc. We use the term dialogue control to refer to these aspects of dialogue. In this paper we present an analysis of the various aspects of dialogue control, focusing on the identiication and deenition of the communicative functions of dialogue control acts in information-seeking dialogues.
The nonsubsampled contourlet transform for image fusion

The nonsubsampled contourlet transform (NSCT) is one of the new geometrical image transform. This transform uses the nonsubsampled pyramids (NSP) and the nonsubsampled directional filter banks (NSDFB) to obtain a multiscale and multidirection decomposition of image. The NSCT is a shift-invariant transform contrast to the contourlet transform. The multiscale and multidirection image from NSCT is as big as the source image. A image fusion scheme based on the NSCT was presented. Firstly, the NSCT is used to perform a multiscale and multidirection decomposition of each image. Then the NSCT coefficients of fused image are constructed using multiple operators according to different fusion rules. The experimental results show that the fusion scheme is effective and the fused images are better than that of using the Laplacian pyramid transform, the wavelet transform and the contourlet transform.
Race Bias in the Diagnosis of Schizophrenia

Accuracy of diagnoses appears to be influenced by the client’s race. Previous research indicates that African Americans are overdiagnosed with Schizophrenia, whereas findings for Hispanic patients have been inconsistent. However, there is evidence that the diagnostic approach used by the clinician may influence accuracy and that bias may be reduced by using a structured assessment of symptoms prior to assigning a diagnosis. There is also some limited evidence for the role of clinician race in diagnosis, with Caucasian clinicians more likely than non-Caucasian clinicians to diagnose African American patients with Schizophrenia. This study utilized a vignette methodology to examine the effects of race of the client, diagnostic approach, and clinician race on diagnoses. A national sample of psychologists read two cases containing a mixture of psychotic and mood disorder features in which patient race was varied, rated the symptoms in the cases, and assigned diagnoses. Diagnostic approach was manipulated by asking half of the clinicians to rate symptoms before assigning a diagnosis (i.e., simulated DSM-IV approach) and half to assign a diagnosis before rating the symptoms in the case (i.e., simulated prototype approach). It was hypothesized that the African American version of the cases would receive more diagnoses of Schizophrenia, particularly by Caucasian clinicians and when clinicians utilized the prototype approach. The results of the study provided little support for the hypotheses. There were few differences based on patient race, diagnostic approach, or significant interactions between them, and the best predictors of diagnoses were the symptom ratings. There also were no significant interactions between clinician race and patient race, although minority clinicians assigned more mood disorder diagnoses and fewer Schizophrenia diagnoses than
Invasive M1T1 group A Streptococcus undergoes a phase‐shift in vivo to prevent proteolytic degradation of multiple virulence factors by SpeB

A globally disseminated strain of M1T1 group A Streptococcus (GAS) has been associated with severe infections in humans including necrotizing fasciitis and toxic shock syndrome. Recent clinicoepidemiologic data showed a striking inverse relationship between disease severity and the degree to which M1T1 GAS express the streptococcal cysteine protease, SpeB. Electrophoretic 2‐D gel analysis of the secreted M1T1 proteome, coupled with MALDI‐TOF mass spectroscopy, revealed that expression of active SpeB caused the degradation of the vast majority of secreted GAS proteins, including several known virulence factors. Injection of a SpeB+/SpeA– M1T1 GAS strain into a murine subcutanous chamber model of infection selected for a stable phase‐shift to a SpeB–/SpeA+ phenotype that expressed a full repertoire of secreted proteins and possessed enhanced lymphocyte‐stimulating capacity. The proteome of the SpeB–in vivo phase‐shift form closely matched the proteome of an isogenic speB gene deletion mutant of the original M1T1 isolate. The absence or the inactivation of SpeB allowed proteomic identification of proteins in this M1T1 clone that are not present in the previously sequenced M1 genome including SpeA and another bacteriophage‐encoded novel streptodornase allele. Further proteomic analysis of the M1T1 SpeB+ and SpeB– phase‐shift forms in the presence of a cysteine protease inhibitor demonstrated differences in the expression of several proteins, including the in vivo upregulation of SpeA, which occurred independently of SpeB inactivation.