Miracle-dz/UniFAR-FTUs huggingface dataset:
PZT-Based Soil Compactness Measuring Sheet Using Electromechanical Impedance

Compaction is a crucial process in road construction and the compactness is an important parameter in determining the road foundation quality. Traditional compaction monitoring methods are based on different principles. The major principle of these techniques is detecting the water content and bulk density of the soil, and then calculating the dry density and the compactness. The disadvantages are laborious, low accuracy, low efficiency and costly for large scale measurement. These drawbacks may limit their application in certain aspects. In this paper, a novel electromechanical impedance (EMI) based compactness measuring sheet (CMS) for soil compactness monitoring was proposed. The proposed CMS was fabricated by attaching a circular piezoceramic patch onto a circular sheet with a larger size. Eight round CMSs with a diameter of 150 mm, 100 mm, 80 mm, 50 mm were fabricated in this experimental study. Among them, four CMSs were embedded into soil and subjected to compression tests to simulate the increased soil compaction. In this study, the conductance signatures of the proposed CMS were collected and analyzed during the increasing soil compaction process. Experimental results demonstrated that all the peak magnitudes in the conductance signatures in the selected frequency range of 160 kHz to 310 kHz were reduced with the increase of soil compaction. It showed that some specific frequencies shifted to the right side during the compaction process. The variations in the conductance signatures were then quantified with the aid of three statistical metrics. These metrics include root mean square deviation (RMSD), mean absolute percentage deviation (MAPD), and correlation coefficient deviation (CCD). Through calculation, all these metrics increase with the increase of soil compaction, which can be employed as indicators in the soil compaction process. To obtain more insight into CMS electromechanical system, the finite element analysis were also performed to study the EMI response. The simulation results well verified the experimental results. This preliminary study has verified that the proposed EMI based CMS is feasible and effective in monitoring soil compactness and shows a promising application prospect.
The hereditary spastic paraplegia protein spastin interacts with the ESCRT-III complex-associated endosomal protein CHMP 1 B

Pure hereditary spastic paraplegia is characterized by length-dependent degeneration of the distal ends of long axons. Mutations in spastin are the most common cause of the condition. We set out to investigate the function of spastin using a yeast two-hybrid approach to identify interacting proteins. Using full-length spastin as bait, we identified CHMP1B, a protein associated with the ESCRT (endosomal sorting complex required for transport)–III complex, as a binding partner. Several different approaches confirmed the physiological relevance of the interaction in mammalian cells. Epitope-tagged CHMP1B and spastin showed clear cytoplasmic co-localization in Cos-7 and PC12 cells. CHMP1B and spastin interacted specifically in vitro and in vivo in b-lactamase protein fragment complementation assays, and spastin co-immunoprecipitated with CHMP1B. The interaction was mediated by a region of spastin lying between residues 80 and 196 and containing a microtubule interacting and trafficking domain. Expression of epitope-tagged CHMP1B in mammalian cells prevented the development of the abnormal microtubule phenotype associated with expression of ATPase-defective spastin. These data point to a role for spastin in intracellular membrane traffic events and provide further evidence to support the emerging recognition that defects in intracellular membrane traffic are a significant cause of motor neuron pathology.
Recovery of 1933

When Roosevelt abandoned the gold standard in April 1933, he converted government debt from a tax-backed claim to gold to a claim to dollars, opening the door to unbacked fiscal expansion. Roosevelt followed a state-contingent fiscal rule that ran nominal-debt-financed primary deficits until the price level rose and economic activity recovered. Theory suggests that government spending multipliers can be substantially larger when fiscal expansions are unbacked than when they are tax-backed. VAR estimates using data on "emergency" unbacked spending and "ordinary" backed spending confirm this prediction and find that primary deficits made quantitatively important contributions to raising both the price level and real GNP after 1933. VAR evidence does not support the conventional monetary explanation that gold revaluation and gold inflows, which raised the monetary base, drove the recovery independently of fiscal actions.
Biochemical and Molecular Actions of Nutrients Insulin Increases the Abundance of the Growth Hormone Receptor in Liver and Adipose Tissue of Periparturient Dairy Cows 1

After parturition, increased growth hormone (GH) secretion is important to preserve the metabolic homeostasis of energy-deficient dairy cows. Elevated plasma GH promotes lipid mobilization from adipose tissue, but paradoxically, is associated with depressed concentration of insulin-like growth factor-I (IGF-I), a growth factor produced in a GH-dependent fashion in liver. Primary factors regulating GH responses of liver and adipose tissue are poorly understood in periparturient dairy cows. Consistent with insulin being such a factor, its plasma concentration declined concomitantly with net energy balance (EB) and with plasma IGF-I in a group of 9 periparturient dairy cows. To test the role of insulin in regulating cellular determinants of GH responsiveness, hyperinsulinemic-euglycemic clamps were performed on 6 dairy cows in late pregnancy (28 d prepartum) before the reductions in EB, insulin, and IGF-I were initiated, and when they were completed in early lactation (10 d postpartum). Infusion of insulin nearly doubled the plasma concentration of IGF-I (P 0.001) and hepatic levels of IGF-I mRNA during both states (P 0.05). In liver, these responses were associated with increased abundance of the GH receptor protein (GHR; P 0.05), whereas the abundance of intracellular mediators of GH actions (JAK2, STAT5, or STAT3) remained unaffected. Insulin also doubled GHR abundance in adipose tissue (P 0.01), indicating that this effect is not liver specific. These results raise the possibility that insulin regulates the efficiency of GH signaling in liver and adipose tissue of dairy cows by acting as a rheostat of GHR synthesis. J. Nutr. 134:
Lightweight Polytypic Staging : a new approach to Nested Data Parallelism in Scala

This paper describes polytypic staging, an approach to staging of a domain-specific language (DSL) that is designed and implemented by means of polytypic (datatype generic) programming techniques. We base our implementation on Lightweight Modular Staging (LMS) framework by extending and making it polytypic. We show how to apply it to a particular domain. The domain is nested data parallelism where data parallel programs are expressed in the DSL embedded in Scala. The paper is organized around a specic DSL, but our implementation strategy should be applicable to any polytypic DSL in general.1
Effect of anisotropy on performance of M-ary phase shift keying subcarrier intensity-modulated optical wireless communication links operating in strong oceanic turbulence

In strong oceanic turbulence, the performance of M-ary phase shift keying subcarrier intensity-modulated optical wireless communication (OWC) links is investigated in terms of the bit-error-rate (BER) by considering the effect of anisotropy of the oceanic channel. To calculate the BER of the OWC link, a gamma–gamma statistical channel model is adopted. The extended Huygens–Fresnel principle and the asymptotic Rytov theory are used to obtain the received optical power and the large-scale and small-scale log-intensity variances, respectively. Our graphical illustrations include the BER versus anisotropic factor for various system parameters such as the modulation order, filter bandwidth, link distance, peak amplitude of each subcarrier and the oceanic turbulence parameters.
Stakeholders and Museum Crowdfunding

Crowdfunding is considered a particularly interesting strategy able to combine fund-raising with new participation formats. In particular, this paper focuses on the crowdfunding campaign launched by a specific kind of cultural institutions: the museums. Present research tries to understand what the best stakeholder management model is in order to implement a successful museum crowdfunding campaign.
Task and Path Planning for Multi-Agent Pickup and Delivery

We study the offline Multi-Agent Pickup-and-Delivery (MAPD) problem, where a team of agents has to execute a batch of tasks with release times in a known environment. To execute a task, an agent has to move first from its current location to the pickup location of the task and then to the delivery location of the task. The MAPD problem is to assign tasks to agents and plan collision-free paths for them to execute their tasks. Online MAPD algorithms can be applied to the offline MAPD problem, but do not utilize all of the available information and may thus not be effective. Therefore, we present two novel offline MAPD algorithms that improve a state-of-the-art online MAPD algorithm with respect to task planning, path planning, and deadlock avoidance for the offline MAPD problem. Our MAPD algorithms first compute one task sequence for each agent by solving a special traveling salesman problem and then plan paths according to these task sequences. We also introduce an effective deadlock avoidance method, called "reserving dummy paths. '' Theoretically, our MAPD algorithms are complete for well-formed MAPD instances, a realistic subclass of all MAPD instances. Experimentally, they produce solutions of smaller makespans and scale better than the online MAPD algorithm in simulated warehouses with hundreds of robots and thousands of tasks.
Title Accurate Bayesian prediction of cardiovascular-relatedmortality using ambulatory blood pressure measurements

Hypertension is the leading cause of cardiovascular-related mortality (CVRM), affecting approximately 1 billion people worldwide. To enable patients at significant risk of CVRM to be treated appropriately, it is essential to correctly diagnose hypertensive patients at an early stage. Our work achieves highly accurate risk scores and classification using 24-h Ambulatory Blood Pressure Monitoring (ABPM) to improve predictions. It involves two stages: (1) time series feature extraction using sliding window clustering techniques and transformations on raw ABPM signals, and (2) incorporation of these features and patient attributes into a probabilistic classifier to predict whether patients will die from cardiovascular-related illness within a median period of 8 years. When applied to a cohort of 5644 hypertensive patients, with 20% held out for testing, a K2 Bayesian network classifier (BNC) achieves 89.67% test accuracy on the final evaluation. We evaluate various BNC approaches with and without ABPM features, concluding that best performance arises from combining APBM features and clinical features in a BNC that represents multiple interactions, learned with some human knowledge in the form of arc constraints.
Role of Inflammation in the Pathogenesis of Diverticular Disease

Diverticulosis of the colon is the most common condition in Western societies and it is the most common anatomic alteration of the human colon. Recurrent abdominal pain is experienced by about 20% of patients with diverticulosis, but the pathophysiologic mechanisms of its occurrence are not completely understood. In the last years, several fine papers have showed clearly the role of low-grade inflammation both in the occurrence of symptoms in people having diverticulosis, both in symptom persistence following acute diverticulitis, even if the evidence available is not so strong. We do not know yet what the trigger of this low-grade inflammation occurrence is. However, some preliminary evidence found colonic dysbiosis linked to low-grade inflammation and therefore to symptom occurrence in those patients. The aim of this paper is to summarize current evidences about the role of inflammation in symptom occurrence in symptomatic uncomplicated diverticular disease and in symptom persistence after an episode of acute diverticulitis.
A step further in the Theory of Regional Economic Integration: A look at The Unasur’s integration strategy

Although economic literature about regional integration is substantial, its definition remains controversial. For instance, it is common nowadays for the terms regional integration and regional economic integration to be used interchangeably in spite of the importance accorded by literature to non-economic factors of integration, particularly to political ones. Inspired on the South American integration project, this paper revisits the theory of regional integration and proposes a novel approach for evaluating regional integration initiatives that include not only political but also physical aspects. More specifically, this article proposes to analyze any regional integration project from three complementary angles: economic integration, political integration, and physical integration. Moreover, it argues that political and physical integration constitute a preliminary, or contemporaneous, step toward economic integration, and not a final stage, as the current debate suggest. In other words, it is argued that a zero-stage in (Balassa, 1961)'s theory of economic integration is needed to enable the long-term sustainability of a regional bloc.
What is Different about Volunteers? A Study on Factors of Buying Decisions of Products with Recycled Content

Volunteering is a way to express civic behavior, including pro-environmental behavior such as buying products with recycled content. The purpose of this research is to understand the differences between individuals involved in volunteering activities and individuals who have never been involved in volunteering activities. In order to do this, dimensions are analyzed by categories of public: the general public, individuals involved in volunteering activities (volunteers), and individuals who have never been involved in volunteering activities (non-volunteers). Qualitative methods, based on in-depth interviews; and quantitative methods, based on Anova, Independent Samples T tests, factor analyses, and regression analyses have been combined. The sample included 469 respondents. The general dimensions of buying decisions are: product features, social values, promotions, low risk, uniqueness, and affordable price. The volunteers’ dimensions of buying decisions are product features, social values, uniqueness, benefits, and promotions. The non-volunteers’ dimensions of buying decisions are product features, uniqueness, credibility support, promotions, and low risk. In the conclusions section, implications are presented using specific communication for each of the three public categories, based on important resulting dimensions for each public.
A Double-Modulation-Wave PWM for Dead-Time-Effect Elimination and Synchronous Rectification in SiC-Device-Based High-Switching-Frequency Converters

The adoption of fast-switching silicon carbide (SiC) devices enables power converters to operate at high switching frequencies (e.g., 100 kHz). However, as a limiting factor at high switching frequencies, the dead-time in the conventional pulsewidth modulation (PWM) can cause significant voltage losses, bring serious low-frequency voltage/current harmonics, and reduce the linear modulation region with lower dc-link voltage utilization. Using the dead-time compensation can effectively eliminate the dead-time effect but further reduce the linear modulation region. The dead-time elimination PWM essentially has no dead-time effect. But due to the abandon of drive pulses for generating synchronous rectification, it has a lower converter efficiency, as well as current jumps at zero-crossings. In this article, to overcome the drawbacks of the conventional PWM and the dead-time elimination PWM, a double-modulation-wave PWM for dead-time-effect elimination and synchronous rectification is therefore proposed, where extra drive pulses for generating synchronous rectification are added based on the dead-time elimination PWM. The added drive pulses can also help with mitigating current jumps at zero-crossings. At last, the proposed PWM is experimentally validated and compared with the conventional PWM and the dead-time elimination PWM at 100 kHz on a three-phase converter with SiC mosfets and SiC Schottky diodes, showing the merits of low voltage losses, low output harmonics, high dc-link voltage utilization, large linear modulation region, and high efficiency.
"I Feel Like They are all Interconnected": Understanding the Identity Management Narratives of Autistic LGBTQ College Students

Abstract:Research on both autistic and LGBTQ college students has uncovered themes of marginalization, selective disclosure, and efforts to build community and resist oppression. However, little work has focused on autistic LGBTQ college students and how they understand and manage their multiple identities. To address this gap, we used narrative inquiry to understand how eight college students who identified as both autistic and LGBTQ navigated higher education. We used the reconceptualized model of multiple dimensions of identity as a framework to understand how students made sense of their identities. Our findings indicated these students prioritized salient identities based on context, managed the visibility of identities, and expressed challenges in participating in LGBTQ and/or autistic communities.
On non-orientable surfaces in 4-space which are projected with at most one triple point

We show that if a non-orientable surface embedded in 4-space has a projection into 3-space with at most one triple point, then it is ambient isotopic to a connected sum of some unknotted projective planes and an embedded surface in 4-space with vanishing normal Euler number.
PatternRank+NN

We propose a ranking framework, called PatternRank+NN, for expanding a set of seed entities of a particular class (i.e., entity set expansion) from Web search queries. PatternRank+NN consists of two parts: PatternRank and NN. Unlike the traditional methods, PatternRank brings user behaviors into entity set expansion from Web search queries. PatternRank is a Markov chain which simulates the Web search query process of users on the graph model for Web search query log, and ranks the features of the class. The features in the front rank are used to generate candidate entities of the class. NN, a ranking strategy called Nearest Neighbor, ranks these candidate entities such that the set of seed entities can be expanded from the candidate entities in the front rank. Our experiments demonstrate the superior performance of PatternRank+NN in comparison with the state-of-the-art methods.
Trajectory Planning of Transformer Cleaning System Based on IRB4600 Robotic Arm

Clean with power for oil-immersed transformer by robotic arm is investigated. We establish kinematic model of IRB4600 Robotic Arm, coordinate transfer is analyzed. Space near inline and outline of transformer is treated as obstacle, surface to be sprayed is departed into several areas, and RRT algorithm is modified in form of point to multi-points to search optimal path for cleansing. Simulation and test by virtual robot platform show that scheme proposed in this paper is valid.
How to Overcome Bone Resorption in Complete Removable Prosthesis?

The existence of alveolar processes and the integrity of the maxillae outside of a specific pathological process are linked to the presence of teeth. The aging process is most often accompanied, at the buccal level, by a narrowing of the prosthetic corridor in relation to the importance of bone resorption and the invasion of peripheral elements. Thus, we are and will be confronted more and more with complete edentulous patients, presenting a very strong resorption of the alveolar processes, even of the osseous bases, which will increase proportionally the difficulties of obtaining a good retention and good stability of the prostheses.Our work aims to review the various means available to us to prevent bone resorption, throughout the stages of prosthetic and post-prosthetic realization.
A C-OTDR Sensor for Liquid Detection Based on Optically Heated Co2+-Doped Fibers

In this paper, we propose a dual wavelength scheme for the detection of liquids based on optically absorbing (Co2+-doped) optical fibers. The proposed configuration makes use of a Coherent-Optical Time Domain Reflectometer (C-OTDR) operating with standard fibers at 850 nm. Besides vibration measurements over all the sensing fiber, the proposed scheme performs liquid detection in short sections of Co2+-doped fibers, heated by a modulated optical pump at 1550 nm. We demonstrate that the proposed sensor detects the liquids surrounding the doped fiber, such as water or acetone.
A 28-nm CMOS 12-Bit 250-MS/s Voltage-Current-Time Domain 3-Stage Pipelined ADC

This brief introduces a voltage-current-time (V-I-T) 3-domain 3-stage pipelined analog-to-digital converter (ADC) that exploits both the current-domain and the time-domain residue processing for speed enhancement. An open-loop current-time (I-T) pipeline with a calibration-free time-to-digital converter (TDC) utilizing a full-scale-matched current-to-time converter (ITC) enhances the conversion speed of a time-domain backend ADC while ensuring robustness to process, voltage, and temperature (PVT) variation. With background calibrations of voltage-to-current residue gain and sampling time skew at the first stage, the prototype 12-bit 250-MS/s ADC fabricated in a 28-nm CMOS process achieves a signal-to-noise-and-distortion ratio (SNDR) of 61.5 dB at a Nyquist input, resulting in a 22.2-fJ/conversion-step Walden figure-of-merit (FoM) under a 1.0V supply.
Methods of Measuring Influence of Bank Customer Using Social Network Model

As the development of economic today, Bank business deeply integrates into our lives. Thousands of transactions generate the large amounts of data. Traditional bank customer management system simply classifies and counts these data, and the system is deficient in customer relationship management. However, the social network model can provide the influence between the bank customers for the bank. In this paper, we construct a social network by calculating the relationship between bank customers. In order to explore how bank customers in the bank customer network affect each other, we use three indicators: the average path length L, clustering coefficient C and degree distribution p (x) to conduct a comprehensive analysis. Consequently, we find that there evidently exist influential customers in this network.