Miracle-dz/UniFAR-FTUs huggingface dataset:
An Examination of Daily Humour Styles and Relationship Satisfaction in Dating Couples

ii ACKNOWLEDGEMENTS iv TABLE OF CONTENTS v LIST OF TABLES xiii LIST OF FIGURES xv LIST OF APPENDICES xvii CHAPTER 1: INTRODUCTION 1 Theoretical Background 1 Humorous communication. 1 Social functions of humorous communication. 4 Summary. 6 Humour styles framework 6 Past Research on Humour and Romantic Relationships 8 Research taking a unidimensional approach to humour. 8 Research distinguishing various types of humour. 11 The 3 Factor Model of Humour and Relationship Satisfaction. 12 Research employing the Humour Styles Questionnaire. 18 Self-reported humour styles. 19 Perception of partners’ humour styles. 20 Partner reported humour styles. 21 Observational studies. 22 Experimental studies. 24 vi Questions Emerging from Past Research 25 Importance of self-reported, perceived partner, and partner humour styles. 25 Importance of affiliative and aggressive humour. 27 Mechanisms behind humour’s association with relationship satisfaction. 27 Summary of Past Research 28 Limitations of Past Research 30 Trait measurement approach to humour styles. 30 Cross-sectional designs. 31 Relationship focused humour styles and relationship satisfaction: A repeated measures design. 32 The Present Research 35 Objectives and Predictions of the Present Research 36 Research Question 1: Are humour styles (self-reported and perceived partner) associated with relationship satisfaction at the within-persons level? 37 Research Question 2: Is perceived partner humour a better predictor of relationship satisfaction than self-reported humour? 38 Research Question 3: Is affiliative humour a better predictor of relationship satisfaction than aggressive humour? 38 Research Question 4: Do overall humour styles moderate associations between daily humour use and relationship satisfaction? 38 Research Question 5: Does partner self-reported humour predict participant relationship satisfaction? 40
Responses of Neutrophils to Anti-Integrin Antibodies Depends on Costimulation through Low Affinity FcγRs: Full Activation Requires Both Integrin and Nonintegrin Signals1

The relative contribution of integrin and nonintegrin signals to neutrophil activation is incompletely understood. Immobilized anti-integrin Abs were previously shown to induce robust activation of neutrophils without any additional stimulus, suggesting that cross-linking of integrins is sufficient for full activation of the cells. However, the possible contribution from other receptors has not been tested in this system. In this study, we show that neutrophil responses to anti-integrin Abs requires costimulation through low-affinity FcγRs. Murine neutrophils lacking the FcR γ-chain or FcγRIII failed to respond to immobilized Abs against β1, β2, or β3 integrins and the activation of wild-type cells could be prevented by blocking Abs against FcγRII/III. Plate-bound anti-CD18 Abs initiated a respiratory burst from human neutrophils, but this response was abrogated when the F(ab′)2 of the same Abs were used or the cells were preincubated with FcγRIIA-blocking Abs. Lack of FcγRIII or administration of FcγR-blocking Abs had no effect on responses of TNF-stimulated cells plated on fibrinogen or rICAM-1. TNF restored the respiratory burst of FcγRIII-deficient neutrophils plated on anti-CD18 mAbs. The p38 MAPK inhibitor SB203580 attenuated the responses of neutrophils to anti-CD18 mAbs or TNF stimulation on a fibrinogen surface. Taken together, these results indicate that activation of low-affinity FcγRs is required for neutrophil responses induced by anti-integrin Abs and suggest that a second coactivation signal (e.g., through TNF or FcR ligation) is indispensable for full integrin-mediated activation of neutrophils. These second signals are interchangeable and they may converge on the p38 MAPK.
Toward a Genealogy and Topology of Western Integrative Thinking

Contemporary integrative thinking such as meta-theorising, integral approaches and transdisciplinarity can be productively contextualised by identifying both a broad genealogy of Western integrative thinking, and also a topology regarding facets of such thought. This paper offers one such genealogical and topological reading. The genealogy involves the historical orientations or moments of Hermetism; Neoplatonism; Renaissancism; the nexus of German classicism, romanticism and idealism; and reconstructive postmodernism. Arising from this, an indication of a general topology of Western integrative thinking is offered (with case studies), one involving objects of integration (such as philosophy and spirituality), macro-integrative entities (such as syncretism), micro-integrative entities (such as creativity and love), integrative "shapes" (such as organicism), and processes of integration (such as intuition). Key terms: Creativity, Hermeticism, intuition, integral, integrative, love, Neoplatonism, organicism, panosophy, reconstructive postmodernism, Renaissance, spirituality, syncretism.
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Modern cloud data centers (DCs) need to tackle efficiently the increasing demand for computing resources and address the energy efficiency challenge. Therefore, it is essential to develop resource provisioning policies that are aware of virtual machine (VM) characteristics, such as CPU utilization and data communication, and applicable in dynamic scenarios. Traditional approaches fall short in terms of flexibility and applicability for large-scale DC scenarios. In this paper, we propose a heuristic- and a machine learning (ML)-based VM allocation method and compare them in terms of energy, quality of service (QoS), network traffic, migrations, and scalability for various DC scenarios. Then, we present a novel hyper-heuristic algorithm that exploits the benefits of both methods by dynamically finding the best algorithm, according to a user-defined metric. For optimality assessment, we formulate an integer linear programming (ILP)-based VM allocation method to minimize energy consumption and data communication, which obtains optimal results, but is impractical at runtime. Our results demonstrate that the ML approach provides up to 24% server-to-server network traffic improvement and reduces execution time by up to $480{\times }$ compared to conventional approaches, for large-scale scenarios. On the contrary, the heuristic outperforms the ML method in terms of energy and network traffic for reduced scenarios. We also show that the heuristic and ML approaches have up to 6% energy consumption overhead compared to ILP-based optimal solution. Our hyper-heuristic integrates the strengths of both the heuristic and the ML methods by selecting the best one during runtime.
Occurrence and Duration of Long-Lasting Peripheral Adaptation Among Males of Three Species of Economically Important Tortricid Moths

Abstract Electroantennograms (EAGs) of Cydia pomonella (L.), Pandemis pyrusana Kearfott, and Grapholita molesta (Busck) documented the presence and duration of long-lasting peripheral adaptation after pheromone preexposure. Moths of each species were preexposed for 1 h to varying dosages (100 ng–100 mg) of the major components of their respective pheromone blends in 1-liter Teflon containers with constant throughput of air. EAGs were performed on all insects 1 min after preexposure and at several subsequent intervals up to 120 min after exposure. Long-lasting peripheral adaptation was recorded by EAG after pheromone preexposure over a range of pheromone dosages in both C. pomonella (100 μg–10 mg) and P. pyrusana (100 ng–100 mg). This reduction in EAG responsiveness lasted ≈60 and 10 min, respectively, for these two species. For G. molesta, a reduction in EAG responsiveness occurred only after 1 h of exposure to the highest dosage of pheromone tested (100 mg). Recovery from adaptation was also rapid in this species: EAGs were significantly reduced to all applied stimulus dosages only at 1-min postexposure. There was substantial variation in the prevalence and duration of decreased EAG responsiveness across the species investigated. However, where long-lasting adaptation was described, the phenomenon lasted ≤60 min. In addition, long-lasting adaptation was induced after prolonged exposures at estimated airborne concentrations of pheromone in the range of nanograms per milliliter, which are much higher than the pheromone concentrations in field plots treated with synthetic pheromone dispensers. Long-lasting peripheral adaptation after pheromone preexposure does not seem to be an important contributor to mating disruption.
Effective treatment of PTSD

This can be achieved through the use of exposure techniques or cognitive therapy approaches. Exposure therapy comprises a set of techniques designed to help the patient confront, in a safe environment, feared objects, situations, memories and images. The two forms of exposure most commonly used to treat PTSD are imaginal exposure and in vivo exposure. Imaginal exposure helps the patient emotionally process the trauma by vividly imagining the traumatic event and describing it aloud, in the first person, present tense, accessing affective as well as cognitive schemas. In vivo exposure works by encouraging confrontation with external situations, places or activities that are avoided (but realistically not dangerous) and that trigger trauma-related fear and anxiety. Both of these aspects of exposure therapy are administered by experienced therapists in such a way that the patient feels in control of the whole process.
Towards the Conservation of Endangered Avian Species: A Recombinant West Nile Virus Vaccine Results in Increased Humoral and Cellular Immune Responses in Japanese Quail (Coturnix japonica)

West Nile Virus (WNV) arrived in North America in 1999 and is now endemic. Many families of birds, especially corvids, are highly susceptible to WNV and infection often results in fatality. Avian species susceptible to WNV infection also include endangered species, such as the Greater Sage-Grouse (Centrocercus uropbasianuts) and the Eastern Loggerhead Shrike (Lanius ludovicianus migrans). The virus has been shown to contribute towards the likelihood of their extinction. Although a clear and present threat, there exists no avian WNV vaccine available to combat this lethal menace. As a first step in establishing an avian model for testing candidate WNV vaccines, avian antibody based reagents were assessed for cross-reactivity with Japanese quail (Coturnix japonica) T cell markers CD4 and CD8; the most reactive were found to be the anti-duck CD8 antibody, clone Du-CD8-1, and the anti-chicken/turkey CD4 antibody, clone CT4. These reagents were then used to assess vaccine performance as well as to establish T cell populations in quail, with a novel population of CD4/CD8 double positive T cells being identified in Japanese quail. Concurrently, non-replicating recombinant adenoviruses, expressing either the WNV envelope or NS3 ‘genes’ were constructed and assessed for effectiveness as avian vaccines. Japanese Quail were selected for testing the vaccines, as they provide an avian model that parallels the population diversity of bird species in the wild. Both the level of WNV specific antibodies and the number of T cells in vaccinated birds were increased compared to unvaccinated controls. The results indicate the vaccines to be effective in increasing both humoral and cellular immune responses. These recombinant vaccines therefore may find utility as tools to protect and maintain domestic and wild avian populations. Their implementation may also arrest the progression towards extinction of endangered avian species and reduce the viral reservoir that potentiates infection in humans.
Gilbert channel approximation for downlink performance evaluation of WCDMA systems

The Gilbert channel depicts a simplified two-state model approximation to represent time-dependent behavior of communication channels. In the context of wireless systems, the channel state of a deployed Gilbert model alternates between fade and non-fade periods. Packets received during fade periods experience severe signal-to-interference and noise ratio (SINR) conditions and are assumed to be lost. On the other hand, all packets received during non-fade periods, are considered to be received correctly. In this paper, we derive Gilbert channel parameters in terms of the mean fade and non-fade durations for WCDMA systems in the downlink direction within a single cell. The analysis is also extendable to mixed speech and data traffic as well as multi-cell scenarios. The developed model is used to compute the satisfied-user probability and system capacity under multiple scenarios in a practical WCDMA system.
Observation-based Fine Grained Access Control of Data

In this paper, we propose an observation-based fine grained access control (OFGAC) mechanism where data are made accessible at various levels of abstractions accord- ing to their sensitivity levels. In this setting, unauthorized users are not able to infer the exact content of the confiden- tial data, while they are allowed to get partial information out of it, according to their access rights. The traditional fine grained access control (FGAC) can be seen as a special case of the OFGAC framework.
Susceptibility to Polyomavirus-Induced Tumors in Inbred Mice: Role of Innate Immune Responses

ABSTRACT Mice of the PERA/Ei strain (PE mice) are highly susceptible to tumor induction by polyomavirus and transmit their susceptibility in a dominant manner in crosses with resistant C57BR/cdJ mice (BR mice). BR mice respond to polyomavirus infection with a type 1 cytokine response and develop effective cell-mediated immunity to the virus-induced tumors. By enumerating virus-specific CD8+ T cells and measuring cytokine responses, we show that the susceptibility of PE mice is due to the absence of a type 1 cytokine response and a concomitant failure to sustain virus-specific cytotoxic T lymphocytes. (PE × BR)F1 mice showed an initial type 1 response that became skewed toward type 2. Culture supernatants of splenocytes from infected PE mice stimulated in vitro contained high levels of interleukin-10 and no detectable gamma interferon, while those from BR mice showed the opposite pattern. Differences in the innate immune response to polyomavirus by antigen-presenting cells in PE mice and BR mice led to polarization of T-cell cytokine responses. Adherent cells from spleens of infected BR mice produced high levels of interleukin-12, while those from infected PE and F1 mice produced predominantly interleukin-10. PE and F1 mice infected by polyomavirus responded with increases in antigen-presenting cells expressing B7.2 costimulatory molecules, whereas BR mice responded with increased expression of B7.1. Administration of recombinant interleukin-12 along with virus resulted in partial protection of PE mice and provided complete protection against tumor development in F1 animals.
Location accuracy on collaborative positioning in wireless sensor networks

The accurate node location is necessary for wireless sensor network applications in both the military and civilian areas. In this paper, we use the Cramer-Rao Bound (CRB) to verify that node localization algorithms based on received signal strength (RSS) and time of arrival (TOA) are both reasonable. The varying number of blindfolded nodes as well as the hybrid of RSS and TOA ranging methods are used to investigate the localization effect. Meanwhile, the maximum likelihood estimation (MLE) is applied to estimate the location accuracy. Simulation results demonstrate that both the localization algorithms based on RSS and TOA are absolutely effective, and the localization are much more accurate with either increasing blindfolded nodes or decreasing the certain parameters value. The node localization based on hybrid RSS/TOA ranging method results in 0.846m average RMS error and 0.229m average RMS CRB, which illustrates that it is much more accurate than the node locating based on RSS and TOA individually.
A Population Based Rewarding for Reinforcement Learning to Control Genetic Algorithms

The effectiveness of Genetic Algorithms (GA) heavily depends on the appropriate setting of its parameters. Moreover, optimal values for these parameters depend on both the type of GA and the application problem pattern and must be developed for each particular setting one by one. Therefore it requires special expertise and many experiments to validate the parameter setting. In order to solve this problem, a new method called "adaptive parameter control" was proposed, which adaptively controls parameters of an evolutionary algorithm. However, since this method just increases the selection probability of a search operator that generated a well evaluated individual, this is apt to be a shortsighted optimization method. On the contrary, a method is proposed to realize longsighted optimal parameter control of GA using Reinforcement Learning (RL). However, this method does neither consider the calculation cost of search operators nor population search characteristics of GA. Here, we propose a refined RL method for parameter control, in which (1) the reward decision rules are elaborately incorporated under the consideration of GA's population search characteristics and (2) the calculation cost of the search operator is taken into account. It is expected that this method can efficiently learn parameters to optimally select search operators of GA for approximately solving Traveling Salesman Problems (TSPs).
Kosher medicine and medicalized halacha: An exploration of triadic relations among Israeli rabbis, doctors, and infertility patients

Drawing on my ethnography of rabbinically mediated fertility treatments for observant Jewish couples in Israel, I illuminate two simultaneous processes: the koshering of medical care and the medicalization of rabbinic law. My findings show how hands-on rabbinic interventions transform doctor–patient relations into rabbi–doctor–patient relations and introduce a network of power relations into clinical practice, at times empowering and at times disempowering patients. This case prompts a reconsideration of scholars’ tendency to view biomedicine in hegemonic terms.
M3Net: Multi-scale multi-path multi-modal fusion network and example application to RGB-D salient object detection

Fusing RGB and depth data is compelling in boosting performance for various robotic and computer vision tasks. Typically, the streams of RGB and depth information are merged into a single fusion point in an early or late stage to generate combined features or decisions. The single fusion point also means single fusion path, which is congested and inflexible to fuse all the information from different modalities. As a result, the fusion process is brute-force and consequently insufficient. To address this problem, we propose a multi-scale multi-path multi-modal fusion network (M3Net), in which the fusion path is scattered to diversify the contributions of each modality from global and local perspectives. Specially, the CNN streams of each modality are fused with a global understanding path and meanwhile a local capturing path. By filtering and regulating information flow in a multi-path way, the M3Net is equipped with more adaptive and flexible fusion mechanism, thus easing the gradient-based learning process, improving the directness and transparency of the fusion process and simultaneously facilitating the fusion process with multi-scale perspectives. Comprehensive experiments demonstrate the significant and consistent improvements of the proposed approach over state-of-the-art methods.
The numbers and relative sizes of motor units estimated by Computer

A fully automated system is described for estimating the numbers and relative sizes of functioning motor units in proximal and distal muscles of the arm and leg. In this system, a computer controls the motor nerve stimulation, and analyzes the potentials evoked from the muscles; a subprogram searches for instances of “alternation. ” In 33 healthy volunteers, aged 21 to 56 years, the median‐innervated thenar muscles of one hand were tested 2 to 3 times; the mean motor unit estimate was 228 ± 93 SD. For similar numbers of biceps brachii, extensor digitorum brevis, and vastus medialis muscles, the respective mean values were 113 ± 40, 131 ± 45, and 229 ± 108 units. The reproducibility of the method was such that the overall coefficient of variation, for the normalized results from the 121 muscles studied, was 22%. The reliability of the automated method was doubled if 3 estimates, rather than one, were performed on each muscle. Comparisons of the results obtained by automated and “manual” methods indicated that the computer‐derived values tended to be lower by approximately 33%.
Revisiting the Evaluation for Cross Document Event Coreference

Cross document event coreference (CDEC) is an important task that aims at aggregating event-related information across multiple documents. We revisit the evaluation for CDEC, and discover that past works have adopted different, often inconsistent, evaluation settings, which either overlook certain mistakes in coreference decisions, or make assumptions that simplify the coreference task considerably. We suggest a new evaluation methodology which overcomes these limitations, and allows for an accurate assessment of CDEC systems. Our new evaluation setting better reflects the corpus-wide information aggregation ability of CDEC systems by separating event-coreference decisions made across documents from those made within a document. In addition, we suggest a better baseline for the task and semi-automatically identify several inconsistent annotations in the evaluation dataset.
Ultrasound imaging of the pelvic floor. Part II: three‐dimensional or volume imaging

In this second part of a review of pelvic floor ultrasound imaging, current three‐dimensional (3D) ultrasound technology and its use for imaging pelvic floor structure and function is described. Recent technical developments enable rapid automated volume acquisition in real time, and currently available transducers designed for abdominal use are well suited for translabial/transperineal imaging. To date, such systems have been used to image the urethra, the levator ani and paravaginal supports, prolapse and implants used in pelvic floor reconstruction and anti‐incontinence surgery. While 3D pelvic floor imaging is a field that is still in its infancy, it is already clear that the method has opened up entirely new opportunities for the observation of functional anatomy. Copyright © 2004 ISUOG. Published by John Wiley & Sons, Ltd.
Addressing Three Common Issues in Research on Youth Activities: An Integrative Approach for Operationalizing and Analyzing Involvement

Youth activity involvement has been operationalized and analyzed using a wide range of approaches. Researchers face the challenges of distinguishing between the effects of involvement versus noninvolvement and intensity of involvement in a particular activity, accounting simultaneously for cumulative effects of involvement, and addressing multiple unique effects of individual activities. In the present work, we review and illustrate the conceptual and empirical implications of these issues using data from a study of activity involvement and successful development in early adolescence (N=537; M age=11.56, 52% female). An integrative solution is introduced based on a latent composite variable (LCV) model (Bollen & Lennox, 1991), which can be used to address all three issues simultaneously. Using this approach, we show that of the aggregate indices examined, breadth of involvement was uniquely and positively associated with multiple indices of successful development. Of the individual activities, a dichotomous score and residual frequency rating for involvement in out‐of‐school clubs were both uniquely associated with less positive development indicators. We concluded that an LCV approach provides a novel method for addressing several fundamental operational and analytic issues facing researchers who investigate youth activity involvement as a context for positive development.