Miracle-dz/UniFAR-FTUs huggingface dataset:
WiFi Sensor Node With High Sensitivity and Linearity Based on a Quarter-Wavelength Resonator for Measuring Crack Width

In this work, a WiFi sensor node is proposed for measuring crack width. The proposed sensor node consists of a quarter wavelength, a movable patch, a power unit, a reflectometer for measuring the reflection coefficient, a processing unit, and a WiFi transceiver module. The sensor was simulated, measured with a vector network analyzer (VNA), and a wireless sensor network (WSN) based on WiFi technology. The sensor sensitivity is 0.125 GHz/mm in simulation, 0.109 GHz/mm with the VNA, and 0.116 GHz/mm with the WSN. The sensor resolution measured in the experiment with the WSN is 0.1 mm. Additionally, the fitting curves representing the data obtained from the sensor have a coefficient of determination of 0.995, 0.997, and 0.998 for the simulation, VNA, and WSN, respectively. Therefore, the sensor node has an initial resonance frequency of 2.733 GHz, a sensitivity of 0.116 GHz/mm, and a coefficient of determination of 0.998 measured within a measurement range from 0 to 5 mm. Thus, the proposed sensor has high sensitivity and linearity, as well as low distortion within the mentioned measurement range.
Scholar Works at UT Tyler Scholar Works at UT Tyler

In the current investigation, we examined the association among emotional intelligence, emotional regulation tendencies, resilience, and perceived stress within a sample of undergraduate students. Participants ( N = 277, 71% Female, 55% White) completed the Brief Emotional Intelligence Scale, Emotion Regulation Questionnaire, Brief Resilience Scale, and Perceived Stress Scale. Using path analysis techniques, we demonstrated that resilience was a negative predictor of perceived stress. Additionally, our results indicated that the use of cognitive reappraisal exerted an indirect inﬂuence on perceived stress through resilience. Finally, the current investigation provided evidence that emotional intelligence exerts an indirect inﬂuence on stress through both cognitive reappraisal and resilience. We believe the results of the current understanding expand our understanding of the determinants of effective emotional information processing and have implications for intervention efforts designed to reduce perceived stress within university-based samples.
Does climate adaptation policy need probabilities

Estimating the likelihood of future C.C. has become a topical matter within the research community. This is the case because of the advancement of science, because of user demand and because of the central role played by climate prediction in guiding adaptation policy. But are probabilities what climate policy really needs? This article reviews three key questions: (1) Why might we (not) need probabilities of C.C. (2) What are the problems in estimating probabilities? (3) How are researchers.
Linear and Diﬀerential Analysis of Small-Sized Random S-Boxes

S-boxes are used in cryptography in order to provide non-linearity in the design of cryptographic primitives such as block ciphers and hash functions. Some cryptographic primitives use bijective S-boxes as in the Advanced Encryption Standard (AES), and others use surjective S-boxes as in the Data Encryption Standard (DES). S-boxes can have inputs and outputs of the same length, i.e., 8 bits as in the case of AES (denoted by, (8 , 8)-S-box), or alternatively their input length can be larger than its output length, i.e., 6 input bits to 4 output bits as in the case of DES (denoted by, (6 , 4)-S-boxes). In this paper, we perform a statistical study of the linear and diﬀerential properties of randomly generated ( n, m )-S-boxes, where m ≤ n . We show that certain S-boxes with good linear and diﬀerential properties can be feasibly obtained via random search. We show further that certain types of S-boxes with speciﬁc desirable linear and diﬀerential properties are improbable to occur randomly if not impossible.
How Robust is the Folk Theorem? ∗

The folk theorem of repeated games has established that cooperative behavior can be sustained as an equilibrium in repeated settings. Early papers on private monitoring and a recent paper of Cole and Kocherlakota (2005) challenge the robustness of this result, by providing examples in which cooperation breaks down when players observe only imperfect private signals about other players’ actions, or when attention is restricted to strategies with ﬁnite memory. This paper shows that Cole and Kocherlakota’s result is an artefact of a further restriction that they impose. We prove that the folk theorem with imperfect public monitoring holds with strategies with ﬁnite memory. As a corollary, we establish that the folk theorem extends to environments in which monitoring is close to public, yet private.
Finite Abstractions of Max-Plus-Linear Systems: Theory and Algorithms

Max-Plus-Linear (MPL) systems are a class of discrete-event systems with a continuous state space characterizing the timing of the underlying sequential discrete events. These systems are predisposed to describe the timing synchronization between interleaved processes. MPL systems are employed in the analysis and scheduling of infrastructure networks, such as communication and railway systems, production and manufacturing lines, or biological systems. As a natural extension, Stochastic Max-Plus-Linear (SMPL) systems are MPL systems where the delays between successive events are characterized by random quantities. In practical applications SMPL systems are more realistic than simple MPL ones: for instance in a model for a railway network, train running times depend on driver behavior, on weather conditions, and on passenger numbers at stations. Verification is used to establish whether the system under consideration possesses certain properties expressed as formulae. As an example, reachability analysis is a fundamental problem in the area of formal methods, systems theory, and performance and dependability analysis. It is concerned with assessing whether a certain state of a system is attainable from given initial states of the system. Verification techniques and tools for finite-state systems have been widely investigated and developed in the past decades. However, if the system has a large number of states or even infinitely many states, in general we cannot apply such techniques directly. In this case we need to employ abstraction techniques to formally relate a concrete model to a finite abstraction of it, which is then amenable to be automatically verified by the relevant results in the literature. In this PhD thesis we develop novel abstraction techniques for MPL systems, and use them in an application to communication networks. Additionally we discuss reachability of MPL systems and abstraction techniques for SMPL systems. The abstraction and reachability algorithms for MPL systems developed in this thesis have been implemented as a MATLAB software tool, "Verification via biSimulations of MPL models'' (VeriSiMPL, as in "very simple''), which is freely available for download at http://www.sourceforge. net/projects/verisimpl/.
Structured Tree Alignment for Evaluation of Constituency Parsing

We present the structured average intersection-over-union ratio (S TRUCT A-I O U), an evaluation metric that compares a constituency parse tree over automatically recognized spoken words with the ground-truth tree over textual words. To compute the metric, we (1) project the ground-truth parse tree to the speech domain by forced alignment, (2) align the projected ground-truth constituents with the induced ones, with awareness of structured constraints, and (3) calculate the average I O U score across all aligned constituent pairs. S TRUCT A-I O U overcomes the challenge that words on both sides may not have perfect one-to-one correspondence, and can be naturally extended to more scenarios such as joint morphological and syntactic analysis.
Asymptotic reconstruction of the Fourier expansion of inputs of linear time-varying systems with applications

: Linear time-varying systems driven by periodic input signals are ubiquitous in control systems. For various reasons, including disturbance rejection and diagnosis by analysis of the trajectories, estimation of their input signals is often desirable. In the present paper, we illustrate a recently proposed general method to solve such problems by an asymptotic reconstruction of the Fourier expansion of the unknown input signal along with several examples from the automotive engine industry, and with an oscillating water column retrieving wave energy.
UVM ScholarWorks UVM ScholarWorks

Landscape photovisualizations (PVZs) are digitally altered photographs that show existing landscapes altered to include a simulated future scenario. They are commonly used to support dialogue and decision-making in multistakeholder contexts. In agricultural sectors, stakeholders increasingly must contend with pressures to adapt to climatic changes and shifts in weather patterns. This study examines the potential of PVZs to engage agricultural stakeholders about climate change adaptation, speciﬁcally around best management practices (BMPs). In 2015, survey data were collected ( n 5 133) at six agricultural conferences Vermont. Participants were asked about their climate change knowledge, perceptions of adaptation, and their intentions to adopt or recommend one or more of the following BMPs: riparian buffers, drainage tiles with constructed wetlands, retention ponds, and silvopasture. In addition, respondents were asked about how well PVZs did or did not clarify their understanding of each BMP and its associated limiting factors. Results from ﬁve multivariate ordered logit models show an increase in interest among some agricultural stakeholders in adopting a BMP (among farmers) or recommending a BMP (among agricultural advisors) after seeing a PVZ depicting that practice. Interest in adoption or recommendation of BMPs was also more likely among respondents who believe that it is important for farms to adapt to climate change. Although PVZs are not common in agricultural outreach programs, these results suggest that PVZs are relevant to agricultural education and land-use decision-making, speciﬁcally in the domain of climate change adaptation.
Patient-reported Outcomes and Quality of Life in Anemic and Symptomatic Patients With Myelofibrosis: Results From the MOMENTUM Study

Myelofibrosis (MF) is a chronic myeloproliferative neoplasm that typically manifests with debilitating symptoms that progressively worsen, negatively impacting patients’ quality of life. Fatigue is a multifactorial and burdensome MF-related symptom due to its severity, persistence, and prevalence, with anemia a contributing factor and major unmet need. Clinical trials of the Janus kinase (JAK)1/JAK2/activin A receptor type 1 inhibitor momelotinib have shown consistent anemia benefits, in addition to improvements in MF-related symptoms. The phase 3 MOMENTUM trial in symptomatic and anemic patients met its primary end point, with a greater proportion having a Myelofibrosis Symptom Assessment Form (MFSAF) Total Symptom Score (TSS) reduction ≥50% at week 24 with momelotinib versus danazol. To support the positive primary end point result, we conducted longitudinal, responder, and time-to-event analyses of patient-reported outcomes from MOMENTUM, as measured by the MFSAF, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30), and Patient-Reported Outcomes Measurement Information System (PROMIS) assessments. These analyses demonstrated rapid and durable response benefits with momelotinib, with achievement of first TSS response by day 29 and continued improvement over time. Improvements favored momelotinib versus danazol for each MFSAF individual item, and greater improvements were observed for disease- and cancer-related fatigue and physical functioning at week 24, with significant results for multiple items/domains across the 3 assessments. These findings are consistent in demonstrating that momelotinib provides substantial symptom benefit.
Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing

Dialogue discourse parsing is a fundamental natural language processing task. It can benefit a series of conversation-related downstream tasks including dialogue summarization and emotion recognition in conversations. However, existing parsing approaches are constrained by predefined relation types, which can impede the adaptability of the parser for downstream tasks. To this end, we propose to introduce a task-aware paradigm to improve the versatility of the parser in this paper. Moreover, to alleviate error propagation and learning bias, we design a graph-based discourse parsing model termed DialogDP. Building upon the symmetrical property of matrix-embedded parsing graphs, we have developed an innovative self-supervised mechanism that leverages both bottom-up and top-down parsing strategies. This approach allows the parsing graphs to mutually regularize and enhance each other. Empirical studies on dialogue discourse parsing datasets and a down-stream task demonstrate the effectiveness and flexibility of our framework 1 .
the Interference by Adapting the Power

—The Fifth Generation of mobile communications (5G) is being standardized based on Orthogonal Frequency Division Multiplexing (OFDM) waveforms. The high out-of-band emissions (OBE) are one of the main drawbacks of OFDM, which reduce the spectral efﬁciency and force us to leave wide guard bands. A strong candidate to replace OFDM is ﬁltered-OFDM (f-OFDM) which solves the mentioned issue and keeps the backward compatibility. However, it increments the inter-symbol interference (ISI) due to the use of digital ﬁlters. We propose a new technique to overcome this problem. It is based on shaping the power of OFDM by the scheduler according to the demanded rates and channel quality of the users, while decreasing the OBE and avoiding the ISI increase. The interference generated by our proposed technique on a narrow-band signal based on legacy OFDM is analyzed. Moreover, simulations are performed to validate the theoretical analysis and some examples of implementation are also provided in the context of 5G evolution.
University of Optimising host cell physiology and stress avoidance for the production of recombinant human tumour necrosis factor in Escherichia coli

As high-level recombinant protein production (RPP) exerts a massive stress on the production host, 16 an extensive literature on RPP optimisation focuses on separating the growth phase from RPP 17 production once sufficient biomass has been obtained. The aim of the current investigation was to 18 optimise benefits of the relatively neglected alternative strategy to achieve high level RPP during 19 growth by minimizing stress on the host. High yields of the biopharmaceutical recombinant human 20 Tumour Necrosis Factor alpha (rhTNFα) were obtained by fed-batch fermentation relevant to 21 industrial production based upon parameters that most severely affected RPP in preliminary 22 laboratory scale batch cultures. Decreasing the inducer concentration and growth temperature but increasing the production period were far more effective for increasing RPP yields than changing the growth phase at which production was induced. High yields of up to 5 g·L -1 of rhTNFα were obtained 25 with minimal plasmid loss even in synthetic media that lack animal-derived components and are 26 therefore fully compliant with regulatory requirements. Most of the product was soluble and 27 biologically active. In summary, stress minimisation was shown to be an effective way to optimise 28 production of rhTNFα. Data generated in shake-flask experiments allowed design of intensified 29 bioreactor cultures in which RPP and growth could be balanced, leading to higher yield of both 30 rhTNFα and biomass than previous fermentations. Additional benefits of this approach include 31 avoidance of lysis during harvesting and downstream processing and the ability to adjust the process 32 to minimize the need for long periods of staff supervision.
Campo de Estromatólitos Gigantes de Santa Rosa de Viterbo, SP Excelente registro do litoral do mar permiano Irati, Bacia do Paraná, Brasil

© Fresia Ricardi-Branco,F. ; Caires,E.T. ; Silva,A.M. 2006. Campo de Estromatólitos Gigantes de Santa Rosa de Viterbo, SP Excelente registro do litoral do mar permiano Irati, Bacia do Paraná, Brasil. In: Winge,M. ; Schobbenhaus,C. ; Berbert-Born,M. ; Queiroz,E.T. ; Campos,D.A. ; Souza,C.R. G. ; Fernandes,A.C. S. (Edit.) Sítios Geológicos e Paleontológicos do Brasil. Publicado na Internet em 24/11/2006 no endereço http://www.unb. br/ig/sigep/sitio125/sitio125.pdf [Atualmente http://sigep.cprm. gov.br/sitio125/sitio125.pdf ]
Research on the effect of sand content on stress and durability of cement

With the progress of science and technology and the improvement of people’s quality of life, the demand for materials is getting higher and higher. As one of the most important civil engineering materials, concrete is widely used to repair a large number of broken infrastructures. Its production uses sand and aggregate from quarrying operation. If the use is unreasonable, a large amount of waste will be produced. In addition, there is a significant shortage of natural building raw materials in many regions (especially in developed regions). So improving the sustainability and durability of concrete materials can save transportation costs. This paper mainly discusses the influence of sand content in cement concrete on the performance of the material itself. The maximum pressure resistance of the corresponding specimen is measured by the pressure sensor and other experimental instruments, and compared with the specimen of different shape and volume under the condition of different sand rate. By changing the ambient temperature, the number of times that the specimen does not conform to the specified standard value is measured, and the durability of the specimen with different sand ratio is obtained. In this work, the optimal sand gravel ratio is successfully and relatively accurately measured. And it can be reasonably used in infrastructure construction.
Strain-modulated band structure and high harmonic generations in two-dimensional MoS2

Two-dimensional (2D) condensed matter is a material that is restricted in one direction while being periodic in the other. Since the restricted size of 2D materials is comparable to the wavelength of electrons, a quantum confinement effect may occur. Moreover, the absence of periodicity provides weak screening in 2D materials, which brings novel physical properties such as the quantum well, which is widely applied in quantum information, and the fine absorption structures in graphene. Among the 2D materials, the monolayer transition metal chalcogenides represented by MoS2 have attracted wide attention due to the direct band gap in the visible light region (1.8 eV) and valley polarizations, which are prospective for solar cells as well as photoelectric devices. High-harmonic generation (HHG) is a strong non-linear process during which a high-energy laser impulse is applied to materials and high-harmonic radiations are yielded. As a typical ultrafast dynamic, HHG has important applications in laser generation, such as EUV lithographic metrology and high-resolution coherent imaging. According to the Bloch oscillation model, HHG is highly dependent on band structure. Here, we report the strain-dependent HHG dynamics in MoS2. Further investigation reveals that the strain-dependence of HHG is caused by band modulation under different strains, which is dominant during HHG. Our research sheds light on ways to achieve effective modulations in ultrafast dynamics, implying an all-optical measurement band structure in strained materials.
Research progress of compound flood in coastal cities

Facilitating the development of cities in coastal areas is an economic strategy from a global perspective. Currently it can be seen that large developed cities in many countries are distributed along the coast. However, in recent years, with the influence of climate change, sea level rise, cyclone changes and land subsidence, the frequency of compound storm floods has been increasing. More academics begin work on compound storm flooding. It can be found that the development of the flood model has experienced a process from ordinary static simulation to one-Dimensional-three-Dimensional coupled model. At present, there are mainly hurricane model and hydrodynamic model to study the composite storm flood. Through current storm flood models, it is known that the intensity and frequency of storm floods will increase under current climate change conditions. At the same time, this paper also looks forward to the models, and proposes an improvement plan to increase the application scope of the model.
Impaired T cell IRE1α/XBP1 signaling directs inflammation in experimental heart failure with preserved ejection fraction

Heart failure with preserved ejection fraction (HFpEF) is a widespread syndrome with limited therapeutic options and poorly understood immune pathophysiology. Using a 2-hit preclinical model of cardiometabolic HFpEF that induces obesity and hypertension, we found that cardiac T cell infiltration and lymphoid expansion occurred concomitantly with cardiac pathology and that diastolic dysfunction, cardiomyocyte hypertrophy, and cardiac phospholamban phosphorylation were T cell dependent. Heart-infiltrating T cells were not restricted to cardiac antigens and were uniquely characterized by impaired activation of the inositol-requiring enzyme 1α/X-box–binding protein 1 (IRE1α/XBP1) arm of the unfolded protein response. Notably, selective ablation of XBP1 in T cells enhanced their persistence in the heart and lymphoid organs of mice with preclinical HFpEF. Furthermore, T cell IRE1α/XBP1 activation was restored after withdrawal of the 2 comorbidities inducing HFpEF, resulting in partial improvement of cardiac pathology. Our results demonstrated that diastolic dysfunction and cardiomyocyte hypertrophy in preclinical HFpEF were T cell dependent and that reversible dysregulation of the T cell IRE1α/XBP1 axis was a T cell signature of HFpEF.
Evaluation and joint inversion of TTI velocity models with walk-away VSP

Anisotropic model building is critical to the success of a prestack depth migration (PSDM) project. Well data are essential in developing the anisotropic models for these seismic PSDM projects. We present a case study where a multitude of walk-away VSP (WVSP) data was used in evaluating the accuracy of the anisotropic velocity models. In particular, we integrated the WVSP travel times with the surface seismic PSDM residual moveout measured in migrated common image gathers (CIGs), in the joint inversion of the anisotropic model parameters. The resulting anisotropic model significantly reduces the misties between the modeled and observed first arrivals in the various WVSP lines, in addition to much flattened CIGs and significant improvement in imaging.
Souvenirs and Jung's Archetypes

Souvenirs are mementos purchased whilst on holiday to be 'consumed' by the traveller self, or to be given away. A souvenir as a physical object can take a range of different shapes and functions. The only thing in common between these objects is that they are acquired in connection to journeys to non-ordinary locations for travellers, and are brought or sent back to the ordinary surrounding of travellers or their relatives and friends. Research in connection to souvenirs has in the past concentrated on three main topical areas; a) the authenticity of souvenirs; b) the retail implication of souvenirs; and c) souvenirs as symbolical memories of travel and identity. What this paper aims at is to take a step beyond these approaches, and investigate motivations for souvenir purchases, and especially to present a psychoanalytic framework to explain unconscious motivators that determine what type of souvenirs are procured from journeys.