Miracle-dz/UniFAR-FTUs huggingface dataset:
Cage Occupancy of Hydrogen in Carbon Dioxide, Ethane, Cyclopropane, and Propane Hydrates

We have already reported the cage unoccupancy of hydrogen in the CO2 hydrate from the Raman spectroscopic analysis and the thermodynamic analysis using Soave Redlich Kwong equation of state. On the other hand, at the low temperatures, Kim and Lee (Journal of American Chemical Society, vol. 127, pp. 9996-9997, Jul. 2005) claimed that hydrogen is enclathrated in the CO2 hydrate. In the present study, the cage unoccupancy of hydrogen in the CO2 hydrate was reconfirmed clearly by in situ Raman spectroscopy for single crystal of gas hydrates. Isothermal phase equilibria (pressure composition) and Raman spectra for three ternary systems of hydrogen + hydrocarbon (ethane, cyclopropane, propane) + water with same experimental procedures as hydrogen + CO2 + water system were measured at 276.1 K in the pressure range up to 5 MPa. In addition, the released gas from hydrates was analyzed to confirm the occupancy or unoccupancy of hydrogen at the temperature. All analyses arrive at the single conclusion that hydrogen is enclathrated in only propane hydrate under the present experimental conditions.
A robust structure and motion replacement for bundle adjustment

This paper demonstrates the application of a robust form of pose estimation and scene reconstruction using data from camera images. We demonstrate results that suggest the ability of the algorithm to rival methods of RANSAC based pose estimation polished by bundle adjustment in terms of solution robustness, speed and accuracy, even when given poor initialisations. Our simulated results show the behaviour of the algorithm in a number of novel simulated scenarios reflective of real world cases that show the ability of the algorithm to handle large observation noise and difficult reconstruction scenes. These results have a number of implications for the vision and robotics community, and show that the application of visual motion estimation on robotic platforms in an online fashion is approaching real-world feasibility.
Coping with Two Different Transmission Channels in Language Recognition

This paper confirms the huge benefits of Factor Analysis over Maximum A-Posteriori adaptation for language recognition (up to 87% relative gain). We investigate ways to cope with the particularity of NIST’s LRE 2009, containing Conversational Telephone Speech (CTS) and phone bandwidth segments of radio broadcasts (Voice Of America, VOA). We analyze GMM systems using all data pooled together, eigensession matrices estimated on a per condition basis and systems using a concatenation of these matrices. Results are presented on all LRE 2009 test segments, as well as only on the CTS or only on the VOA test utterances. Since performances on all 23 languages are not trivial to compare, due to lacking language‐channel combinations in the training and also in the testing data, all systems are also evaluated in the context of the subset of 8 common languages. Addressing the question if a fusion of two channel specific systems may be more beneficial than putting all data together, we study an oracle based system selector. On the 8 language subset, a pure CTS system performs at a minimal average cost of 2.7% and pure VOA at 1.9% minCavg on their respective test conditions. The fusion of these two systems runs at 2.0% minCavg. As main observation, we see that the way we estimate the session compensation matrix has not a big influence, as long as the language‐channel combinations cover those used for training the language models. Far more crucial is the kind of data used for model estimation.
Revisiting the Single Cell Protein Application of Cupriavidus necator H16 and Recovering Bioplastic Granules Simultaneously

Cupriavidus necator H16 (formerly known as Hydrogenomonas eutropha) was famous as a potential single cell protein (SCP) in the 1970s. The drawback however was the undesirably efficient accumulation of non-nutritive polyhydroxybutyrate (PHB) storage compound in the cytoplasm of this bacterium. Eventually, competition from soy-based protein resulted in SCP not receiving much attention. Nevertheless, C. necator H16 remained in the limelight as a producer of PHB, which is a material that resembles commodity plastics such as polypropylene. PHB is a 100% biobased and biodegradable polyester. Although tremendous achievements have been attained in the past 3 decades in the efficient production of PHB, this bioplastic is still costly. One of the main problems has been the recovery of PHB from the cell cytoplasm. In this study, we showed for the first time that kilogram quantities of PHB can be easily recovered in the laboratory without the use of any solvents and chemicals, just by using the cells as SCP. In addition, the present study also demonstrated the safety and tolerability of animal model used, Sprague Dawley given lyophilized cells of C. necator H16. The test animals readily produced fecal pellets that were whitish in color, as would be expected of PHB granules. The pellets were determined to contain about 82-97 wt% PHB and possessed molecular mass of around 930 kg/mol. The PHB granules recovered biologically possessed similar molecular mass compared to chloroform extracted PHB [950 kg/mol]. This method now allows the production and purification of substantial quantities of PHB for various experimental trials. The method reported here is easy, does not require expensive instrumentation, scalable and does not involve extensive use of solvents and strong chemicals.
ABCG2 (Breast Cancer Resistance Protein/Mitoxantrone Resistance-Associated Protein) ATPase Assay: A Useful Tool to Detect Drug-Transporter Interactions

The ATPase assay using membrane preparations from recombinant baculovirus-infected Spodoptera frugiperda ovarian (Sf9) cells is widely used to detect the interaction of compounds with different ATP-binding cassette transporters. However, Sf9 membrane preparations containing the wild-type ABCG2 transporter show an elevated baseline vanadate-sensitive ATPase activity, which cannot be further stimulated by substrates of ABCG2. Therefore, this assay system cannot be used for the detection of ABCG2 substrates. To overcome this difficulty we 1) purified membranes from a selected human cell line expressing wild-type ABCG2, and 2) inhibited the baseline ATPase activity with different inhibitors. In our modified assay, ABCG2 substrates were able to stimulate the baseline ATPase activity of ABCG2 expressed in membranes of human cells. Furthermore, using the specific ABCG2 inhibitors Ko143 or Ko134 allowed us to suppress the baseline vanadate-sensitive ATPase activity. Substrates of ABCG2 could stimulate this suppressed baseline ATPase, resulting in a better signal-to-background ratio and a robust assay to detect substrates of the ABCG2 transporter. The ATPase assay and the direct vesicular transport measurements for estrone-3-sulfate were in good accordance.
Group Leadership Skills: Interpersonal Process in Group Counseling and Therapy

Part One: INTRODUCTION AND OVERVIEW. 1. Theories and Assumptions. 2. On Becoming a Group Leader. Part Two: BASIC LEADERSHIP SKILLS: GETTING THE GROUP TO WORK. 3. Creating a Group from Scratch: Program Planning and Member Preparation. 4. Leading the First Session. 5. Facilitating, Opening, and Closing: The Foundation of Group Skills. 6. Working on the Agendas: The Basic Framework of a Group Session. 7. Working with Tension and Conflict. Part Three: ADVANCED LEADERSHIP SKILLS: GETTING THE GROUP TO UNCHARTED WATER. 8. Taking More Risks in Communication: Toward Greater Group Closeness. 9. The Hot-Seat Method: The Knee-Jerk Experience. 10. The Method of Stirring-the-Pot: Stimulating Group Affect. 11. The Skills of Termination: Completing the Circle. Part Four: OTHER CONSIDERATIONS. 12. Reflective Writing: Adding Therapeutic Means. 13. Professionalism: Professional Standards and Best Practice. 14. Further Development of the Group Leader. Appendix A: Sample of a Group Proposal: Personal-Growth Group for Adolescents in Sudden Transition. Appendix B: Orientation Handouts. References. Index.
Higher-harmonic AFM imaging with a high-bandwidth multifrequency Lyapunov filter

A major difficulty in multifrequency atomic force microscopy (MF-AFM) is the accurate estimation of amplitude and phase at multiple frequencies for both z-axis feedback and material contrast imaging. A lock-in amplifier is typically chosen for its narrowband response and ease of implementation. However, its bandwidth is limited due to post mixing low-pass filters and multiple are required in parallel for MF-AFM. This paper proposes a multifrequency demodulator in the form of a model-based Lyapunov filter implemented on a Field Programmable Gate Array (FPGA). System modelling and simulations are verified by experimental results demonstrating high tracking bandwidth and off-mode rejection at modelled frequencies. Additionally, AFM scans with a five-frequency-based system are presented wherein higher harmonic imaging is performed up to 1 MHz.
Analysis of Lombard effect under diffe with application to Inset Sp

This paper presents an analysis of Lombard speech produced under different types and levels of noise. The speech used for the analysis forms a part of the UT-SCOPE database and consists of sentences from the well-known TIMIT corpus, spoken in the presence of highway, large crowd and pink noise. Differences are shown to exist in the speech characteristics under these varying noise types. The deterioration of the EER of an in-set speaker identification system trained on neutral and tested with Lombard speech is also illustrated. A clear demarcation between the effect of noise and Lombard effect on noise is also given by testing with noisy Lombard speech. The effect of test-token duration on system performance under the Lombard condition is addressed. It is seen that test duration has no effect on the EER under Lombard effect. The average EER for 3s test duration is 14.7, 28.3, 48.2, 51.3 for neutral clean, clean Lombard, noisy neutral and noisy Lombard respectively, and 7.2, 26.4, 45.8, 50.8 respectively for 12s test duration.
Species Abundance and Seasonal Activity of Mosquitoes on Cattle Facilities in Southern Alberta, Canada

ABSTRACT Seventeen mosquito species were collected at eight cattle facilities in southern Alberta, Canada, during 2002–2004. Five species, Culiseta inornata (Williston), Aedes dorsalis (Meigen), Culex tarsalis (Coquillett), Aedes vexans (Meigen), and Aedes campestris Dyar & Knab accounted for 93.6% of the mosquitoes collected. Culiseta inornata, Ae. dorsalis, and Ae. campestris were trapped earliest in the year. Cs. inornata was active latest in the year and had the longest period of activity. Ae. dorsalis finished activity in late September and had the second longest period of activity. Ae. campestris was the first to complete its activity, resulting in a moderate period of activity. Cu. tarsalis and Ae. vexans appeared later in the season, disappeared by late September, and had the briefest periods of activity. Logistic regression was used to estimate relationships between the proportions of traps positive and mean weekly abundance for each species. Fifty percent of the traps were positive when abundance averaged 0.19–0.30 females per trap night. Logistic regression was used to determine the timing of the onset of activity and temperature thresholds for flight. Relationships between the proportion of positive traps and mean weekly temperature indicated that Cs. inornata had the lowest temperature threshold, Cx. tarsalis the greatest, and the remaining species had intermediate thresholds. Logistic regression indicated that mosquito presence was primarily affected by temperature and accumulated degree-days, with only Ae. vexans exhibiting a positive response to precipitation. The models can be used to predict the onset of activity as defined by when populations exceed a particular threshold.
Japanese multinationals in Asia: Drivers and attractors

This paper studies the choice by Japanese multinationals of Asia and of specific Asian countries as investment destinations. High costs in Japan exert a general push towards investing in Asia. Unlike investment in the US and Europe, trade barriers do not drive Asian investment. While domestic markets of host countries are important, conditions for efficient production in the host country also determine its attractiveness. In Asia, firms have looked for industrially literate workers, though the new Japanese investment is being guided more by low wages. Japanese investors also stake out early positions in growing markets. The inability to repatriate earnings is the strongest disincentive to Japanese investment. A favourable foreign direct investment policy is desirable but its importance declines as a firm gains experience in a country.
International Conference On Communication and Signal Processing ( ICCSP – 2011 ) ( February 10 – 12 , 2011 ) NIT Calicut An Improved Multiple Access Chaotic Communication System Using Orthogonal Chaotic

The small yet non-zero cross-correlation between chaotic spreading sequences in multi user chaotic communication system leads to MAI. The effect of MAI increases as the number of users increases. In order to eliminate the effect of MAI we propose the use of Orthogonal Chaotic Vectors (OCV) as spreading sequences to modulate the message data. At the receiver a simple correlator type detector is used. Analytical expressions for BER are derived for both AWGN and fading channels are compared with that of simulation results. Keywords-orthogonal chaotic vector (OCV),orthogonal chaotic vector shift keying(OCVSK), chaos,gram-schimdt orthonormalisation, AWGN, fading channels.
Bayesian Analysis of the Autoregressive-Moving Average Model with Exogenous Inputs Using Gibbs Sampling

The problem of estimating a set of parameters in the autoregressive moving average model with exogenous inputs (ARMAX) i s considered and a num erical Bayesian m ethod proposed. This paper, develops a Bayesian analysis for the ARMAX m odel by implementing a fast, easy and accurate Gibbs sampling algorithm. The procedure is easy to implement an d can be computed also when some priors in the ARMAX are diffuse. The empirical results of the simulated examples and electricity consumption data in the industrial sector in Egypt showed the accuracy of the proposed methodology and has good statistical properties.
Exploring Ayurvedic Knowledge on Food and Health for Providing Innovative Solutions to Contemporary Healthcare

Ayurveda, a traditional system of medicine that originated over three millennia ago in the South Asian region, offers extensive insights about food and health based on certain unique conceptual as well as theoretical positions. Health is defined as a state of equilibrium with one’s self (svasthya) but which is inextricably linked to the environment. Ayurvedic principles, such as the tridosa (three humors) theory, provide the relationship between the microcosm and the macrocosm that can be applied in day-to-day practice. Classical Ayurveda texts cover an array of themes on food ranging from diversity of natural sources, their properties in relation to seasons and places and to their specific function both in physiological and pathological states. The epistemic perspective on health and nutrition in Ayurveda is very different from that of biomedicine and modern nutrition. However, contemporary knowledge is reinventing and advancing several of these concepts in an era of systems biology, personalized medicine, and the broader context of a more holistic transition in sciences in general. Trans-disciplinary research could be important not only for pushing the boundaries of food and health sciences but also for providing practical solutions for contemporary health conditions. This article briefly reviews the parallels in Ayurveda and biomedicine and draws attention to the need for a deeper engagement with traditional knowledge systems, such as Ayurveda. It points out that recreation of the methodologies that enabled the holistic view point about health in Ayurveda may unravel some of the complex connections with Nature.
Design of a ridged waveguide slot antenna for millimeterwave applications

This paper discusses on the design of a ridge waveguide slot antenna to be operated at the frequency of 63 GHz. The frequency is used for vehicle-to-vehicle (V2V) application. The antenna is design as structured in 5 layers of metal coated SU-8 photoresist, each at 200µm thick. The performance of the antenna is simulated using CST Microwave Studio 3D simulator. The simulation result shows that the antenna is well matched at 63 GHz with −28.7 dB return loss and a very narrow −10 dB bandwidth of 0.9 %.
Serum amyloid A is a chemoattractant: induction of migration, adhesion, and tissue infiltration of monocytes and polymorphonuclear leukocytes

Serum amyloid A (SAA) is an acute phase protein that in the blood is bound to high density lipoproteins; SAA is secreted mainly by hepatocytes, and its concentration increases in the blood up to 1000 times during an inflammatory response. At present, its biological function is unclear. Since some forms of secondary amyloidosis are caused by deposition in tissues of peptides derived from the SAA and leukocytes seem to be involved in this process, we investigated the effect of human SAA on human monocytes and polymorphonuclear cells (PMN). When recombinant human SAA (rSAA) was used at concentrations corresponding to those found during the acute phase (> 0.8 microM), it induced directional migration of monocytes and polymorphonuclear leukocytes. Preincubation of rSAA with high density lipoproteins blocked this chemoattractant activity for both monocytes and PMN. rSAA also regulated the expression of the adhesion proteins CD11b and leukocyte cell adhesion molecule 1 and induced the adhesion of PMN and monocytes to umbilical cord vein endothelial cell monolayers. When subcutaneously injected into mice, rSAA recruited PMN and monocytes at the injection site. On the basis of these data, we suggest that SAA may participate in enhancing the migration of monocytes and PMN to inflamed tissues during an acute phase response.
The Validity of Five-Factor Model of Personality to Predicting Impulse Buying Tendency

This paper examines the relationship between the Five-factor Model of Personality (FFP) tendency to use make impulsive credit card purchases by using linear regression model. The primary data is collected via convenient sampling method with 529 valid questionnaires. The empirical results indicate that the positive relationship between the “Neuroticism” and “Openness” personalities with FFP is statistically significant. However, the relationship between “Conscientiousness” to FFP is in a negative relationship. The “Credit-card use” can be served as a moderator of the effect variable of "Neuroticism" and "Conscientiousness" on impulse buying tendency. The results would provide a beneficial reference of knowledge management in marketing planning.
The Impact of Communication Impairments on the Social Relationships of Older Adults

i Dedication . iii Acknowledgments. iv List of Tables . viii List of Figures . ix Introduction . 1 Background . 1 Justification . 7 Preliminary Work. 9 Potential Implications . 11 Literature Review.13 Communication and Aging . 13 Theoretical Frameworks for Understanding the Impact of Communication Impairment . 25 The Importance of Social Relationships for Mental and Physical Health . 42 Defining and Measuring Social Relationships . 45 Theories of Social Relationships and Aging . 59 The Impact of Communication Impairment on Social Relationships . 63 Research Questions . 77 Method . 86 Study Design . 86 Phase 1 Participants . 90 Phase 1 Measures . 99 Phase 1 Analysis . 107 Phase 2 Qualitative Analysis Plan . 111 Results . 115 Analysis Overview . 115 Descriptive Characteristics of Phase 1 Participants . 115 Reliability Analyses . 118 Regression Analyses: Predicting Social and Psychological Characteristics . 124 Physical Disability, Social Support, and Social Self-Efficacy as Moderators . 135 Social Relationship Variables as Mediators of Psychological Well-Being . 140 Perceived Changes in Social Self-Efficacy . 145 Phase 2 Qualitative Investigation Results . 146 Integration of Findings . 169 Discussion . 177 vii Study Contributions . 177 Interpretation of Findings . 179 Limitations of the Study. 199 Clinical Implications and Suggestions for Future Research . 200 Conclusions . 203 References . 205 Appendix A. Summary of Published Instruments . 237 Appendix B. Published Instruments Related to Disability . 240 Appendix C. Published Instruments Related to Mental Health & Well-Being . 244 Appendix D. Published Instruments Related to Social Relationships . 247 Appendix E. Evidence for Content Validity of the CETI-M . 255 Appendix F. Open-Ended Questions for the Individual Interviews . 257 Appendix G: Study Approval Documentation from OHSU and PSU . 259 Appendix H. Approved Study Documents . 262 Appendix I: Identification and Exclusion of Potential Participants . 278 Appendix J: Categorization of Open-Ended Responses from Phase 1 . 281 Appendix K. Additional Descriptive Data from Phase 1 . 286
Transcriptional Analysis of Left-sided Colitis, Pancolitis, and Ulcerative Colitis-associated Dysplasia

Background:It is unknown why patients with extensive ulcerative colitis (UC) have a higher risk of colorectal cancer compared with patients with left-sided UC. This study characterizes the inflammatory processes in left-sided UC, pancolitis, and UC-associated dysplasia at the transcriptional level to identify potential biomarkers and transcripts of importance for the carcinogenic behavior of chronic inflammation. Methods:The Affymetrix GeneChip Human Genome U133 Plus 2.0 was applied on colonic biopsies from UC patients with left-sided UC, pancolitis, dysplasia, and controls. Reverse transcription polymerase chain reaction and immunohistochemistry were performed for validating selected transcripts in the initial cohort and in 2 independent cohorts of patients with UC. Microarray data were analyzed by principal component analysis, and reverse transcription polymerase chain reaction and immunohistochemistry data by the Wilcoxon's rank-sum test. Results:The principal component analysis results revealed separate clusters for left-sided UC, pancolitis, dysplasia, and controls. Close clustering of dysplastic and pancolitic samples indicated similarities in gene expression. Indeed, 101 and 656 parallel upregulated and downregulated transcripts, respectively, were identified in specimens from dysplasia and pancolitis. Validation of selected transcripts hereof identified insulin receptor alpha (INSRA) and MAP kinase interacting serine/threonine kinase 2 (MKNK2) with an enhanced expression in dysplasia compared with left-sided UC and controls, whereas laminin &ggr;2 (LAMC2) was found with a lower expression in dysplasia compared with the remaining 3 groups. Conclusions:This study demonstrates pancolitis and left-sided UC as distinct inflammatory processes at the transcriptional level, and identifies INSRA, MKNK2, and LAMC2 as potential critical transcripts in the inflammation-driven preneoplastic process of UC.
Identification of Implicit Topics in Twitter Data Not Containing Explicit Search Queries

This study aims at retrieving tweets with an implicit topic, which cannot be identified by the current query-matching system employed by Twitter. Such tweets are relevant to a given query but do not explicitly contain the term. When these tweets are combined with a relevant tweet containing the overt keyword, the “serialized” tweets can be integrated into the same discourse context. To this end, features like reply relation, authorship, temporal proximity, continuation markers, and discourse markers were used to build models for detecting serialization. According to our experiments, each one of the suggested serializing methods achieves higher means of average precision rates than baselines such as the query matching model and the tf-idf weighting model, which indicates that considering an individual tweet within a discourse context is helpful in judging its relevance to a given topic.