Miracle-dz/UniFAR-FTUs huggingface dataset:
An Ultra-High Timing Resolution Waveform Generator Based on Real-Time Computation and DDS

Direct digital synthesis (DDS) technology is widely used in test and measurement instruments, and DDS technology can easily synthesize various types of waveforms with high frequency switching speed, flexible waveform editing, and high frequency resolution. However, the internal timing characteristics of the waveform, such as pulse edge time, pulse width, and ramp symmetry, need the waveform samples rewritten into the waveform memory to achieve changes. The timing resolution of the waveform is also limited by the capacity of the waveform memory and the waveform sample rate, which is difficult to further improve. In this paper, we proposes a method for synthesizing pulses, squares and ramps with high timing resolution based on a combination of real-time computation and DDS. The timing resolution of the synthesized waveform is no longer limited by the waveform memory capacity and waveform sample rate. And the timing resolution of the waveform can be hundreds or thousands of times of the sampling period. Also, since the waveform samples are calculated in real time based on waveform parameters, it is easy to realize various modulations such as pulse width modulation (PWM), frequency modulation (FM), and amplitude modulation (AM). In the case of multi-channel output, high-resolution interchannel delay control can be achieved by precisely adjusting the waveform phases. A experimental prototype based on this method was designed. The prototype has four waveform output channels, each with a 2.5 GSPS waveform sample rate, and realizes a variety of waveform synthesis and modulation including pulse, square and ramp. The timing resolution can reach 0.1 ps, including interchannel delay, pulse edge time, pulse width, duty cycle and ramp symmetry.
TF-FDGAN: Unsupervised Bearing Fault Detection Based on Time-Frequency Transform and Generative Adversarial Networks

In modern industry, obtaining expert labels for bearing fault data is often difficult, which makes traditional detection methods (e.g., supervised learning) less effective and reduces the detection accuracy. Therefore, this paper proposes an unsupervised bearing fault detection based on Time-Frequency transform and generative adversarial networks (TF-FDGAN), which mainly consists of WGAN and izif encoder and uses the time-frequency map as input. The WGAN uses normal data for unsupervised learning to learn its distribution. Then, the izif structure is used to train the encoder to map the input image to space, and the loss function of the izif structure is used as an anomaly score to evaluate whether the input data is in normal working condition. The experimental results show that the method maintains high accuracy and stability in different datasets, and the detection accuracy is greatly improved compared with traditional unsupervised learning algorithms.
Time-Sensitive Networking's Scheduled Traffic Implementation on IEEE 802.11 COTS Devices

Wired real-time network deployments based on time-sensitive networking (TSN) are becoming increasingly popular in several application fields including industrial automation and the automotive area. This is to a great extent due to the scheduled traffic (ST; IEEE 802.1Qbv), a TSN mechanism that precisely triggers transmissions at pre-defined instants from a set of independent hardware queues. Unfortunately, the wireless counterparts based on IEEE 802.11 (Wi-Fi) currently lack standardized or functional solutions that would be able to fulfill strict real-time requirements. This work proposes the use of ST over IEEE 802.11, taking advantage of an existing but overlooked mechanism from commercial off-the-shelf (COTS) equipment. An extensive set of tests, spanning different implementation configurations, traffic patterns, and levels of interference evaluates the proposal in terms of reliability and delivery delays and serves as a proof of concept. The tests also evaluate the much-needed clock synchronization quality of an out-of-the-box software-only implementation of the precision time protocol (PTP) due to its relevance in enabling ST.
Coordinated Ride-hailing Order Scheduling and Charging for Autonomous Electric Vehicles Based on Deep Reinforcement Learning

Autonomous electric vehicles (AEVs) are increasingly recognized as a crucial component in the modern transportation networks. This creates a pressing need to develop efficient and economic management methods for AEV operators. In this paper, we propose a coordinated order scheduling and charging framework for AEVs that provide ride-hailing services based on deep reinforcement learning (DRL) method that considers AEVs' spatial-temporal mobility and charging behaviors. In this framework, we first formulate an aggregated model for charging stations (CSs) that extracts features of each AEV by tracking the dynamic correspondence between AEVs and CSs. Then, we propose a novel DRL-based algorithm for the aggregated model that schedules the lower thresholds of charging requirements so that AEVs can get charged at the lowest charging prices and shortest trip distances, in the meantime satisfying ride-hailing order demand. Numerical experiments are conducted to verify the superiority of the proposed method through a New York City zone-based power-transportation coupled network. The results validate the effectiveness of the proposed framework in saving operation cost with high computational efficiency.
SOIL ROUGHNESS EFFECTS ON RUNOFF AND SEDIMENT PRODUCTION

The effect of soil surface roughness on runoff and sediment production is an area not yet fully quantified. Current erosion prediction models, such as the Revised Universal Soil Loss Equation, predicts a reduced erosion from an increased soil roughness, without considering the functionality associated with different roughness forms. In this research, we used a mechanistic approach in which soil roughness is partitioned into depressions and mounds and their effects on runoff and sediment production are quantified separately. A laboratory rainfall simulation experiment was conducted using paired rough versus flat surfaces in a 5 m 2 soil box. Depressions delayed the runoff initiation by storing water into puddles and enhancing infiltration. Surface mounds did not delay runoff initiation. Once runoff reached a steady state, rough surfaces either with depressions or mounds produced mostly greater runoff with either an increased or decreased sediment flux, despite a high degree of data scatter. This effect persisted until the roughness elements disappeared, suggesting the flow concentration on rough surfaces was a likely cause. Surface roughness, subsurface condition (ie. seepage or drainage), flow erosivity and rainfall intensity and duration all affected the soil losses. Our results show no simple relationship between roughness, flow and erosion exists and the net effect on runoff and erosion depends on the dominant form and its functionality.
CVaR-Constrained Robust Unit Commitment for Power System with Concentrating Solar Power

A conditional value-at-risk (CVaR) constrained robust unit commitment model with concentrating solar power (CSP) is proposed to address the uncertainties arising from large-scale renewable energy integration. Firstly, the principle of CSP is analyzed, and the mathematical model of CSP in steady-state is established. Secondly, CVaR is introduced to measure the risk of loss caused by wind power uncertainty. Then, a CVaR-constrained robust unit commitment model for power system with CSP is formulated, and a multidimensional uncertainty set is used to tradeoff between the robustness and the conservatism of the model. The model is transformed into a mixed integer linear programming model by linearization and solved using the column and constraint generation (C&CG) algorithm. Finally, the effectiveness of the proposed model is verified on the IEEE 6-bus system and IEEE 118-bus system.
Planning the Operations of a Group of Autonomous Unmanned Underwater Vehicles Based on a Carrier Vessel as a Solution for Multiple Traveling Salesmen Problem

We propose a method for calculating the work carried out as part of the monitoring of a river or water basin. A group of autonomous crewless underwater vehicles (AUVs), accompanied by a base ship, do the job based on a two-level model. Examples of monitoring are given for arbitrarily located inspection points using the mathematical apparatus of the of multiple traveling salesmen problem.
Coupling of Terahertz Light with Nanometer-Wavelength Magnons

Energy-efficient spin-based technologies require new prospects for the realization of nanoscale logic devices that are able to operate at terahertz (THz) frequencies. For instance, in the field of magnonics, spin waves are proposed for data transport and processing. In this regard, magnonic concepts rely on generation of nanometer-wavelength spin waves, confined in a nanostructure. Here, we propose a layered metallic system, based on a ferromagnetic film sandwiched by heavy metals that allows a highly efficient coupling of millimeter wavelength THz light with nanometer-wavelength magnon modes. Using single-cycle broadband THz radiation, we are able to excite spin-wave modes with a frequency of up to 0.6 THz and a wavelength as short as 6 nm. Numerical simulations demonstrate that the coupling originates solely from interfacial spin-orbit torques. A possible origin of the enhanced damping of THz spin waves will be discussed.
License to look?

Permissive beliefs are considered the most proximal predictor of actual behavior. Whereas they have frequently been researched in substance-use disorders, the field of social networking sites (SNS) use is missing the investigation as to how relevant permissive beliefs might be in this context, what might be causal precursors of permissive beliefs (i.e., desire thinking), and which processes might influence the effect that permissive beliefs have on actual behavior (i.e., self-control). To answer these questions, 116 people who use SNS participated in an online survey that contained an experimental manipulation of desire thinking and questionnaires measuring permissive beliefs, self-control, and severity of problematic SNS use. In a one-week follow-up, 85 participants reported their SNS usage times. Results showed that the association between permissive beliefs and tendencies to use SNS problematically was not significant. The experimental manipulation led to a decrease in permissive beliefs in the control condition, but did not increase permissive beliefs in the desire thinking condition. Permissive beliefs predicted SNS use in the follow-up assessment, which was not moderated by self-control. The results suggest that permissive beliefs seem to be unrelated to addictive tendencies of SNS use, but are never-theless associated with daily use. Desire thinking does not appear to activate permissive beliefs in this study, possibly because the use of social networks is less often experienced as conflicting. Due to its ubiquitous availability, the use of social networks itself might quickly resolve the conflict between desires and possible regulatory attempts, making good reasons for use unnecessary.
Study on coupling degree between economy and marine environment in Bohai Sea Rim

The 21st century is the century of ocean,and relying on the ocean.The economy along the coast develops rapidly and greatly affects the marine environment.So it is very important for the coordination of the two systems.In this paper,based on the principal component analysis on the comprehensive analysis of the Bohai Bay marine environment,and using the capacity of the coupling coefficient model in physics,the calculation of the coupling degree between the economy in the Bohai Sea Rim and marine environment of Bohai Bay was done.Then,the results show that the system is almost in the antagonistic period,and the Bohai Rim economy developed rapidly,and the capacity of carrying pollutants in the Bohai Sea declined.The Bohai can not fully digest the impact because of the development.Therefore,it is necessary to make the effective policies to promote the coordination of the economy and marine environment in the Bohai rim.
Assessing Potential Areas of Ecotourism through a Case Study in Ilgaz Mountain National Park

The changing demands of tourism provide greater benefits to tourists and generate competitive advantages that develop diversity in tourism. Elements of ecotourism fit within this context, and such tourism includes, but is not limited to, activities such as visiting natural and cultural resources without destroying nature, which are carried out with an aim toward sustainability. Ilgaz Mountain has a wealth of natural, cultural, historical, and recreational features, and its location near the Black Sea gives the area significant tourism potential. In order to evaluate the impact, potential, and possibilities of ecotourism in this protected area, we used geographic information systems (GIS) to determine the nature of protection required based on implementation availability. In this study, we used ecology-based identification of the natural and cultural values to characterize the features. The study consists of four parts: (1) the concept of ecotourism, (2) discussion of sustainable growth of tourism, (3) sustainability of ecotourism using GIS and how this is related to sustainable ecotourism in protected areas, such as in Turkey, (4) results and evaluation. By assessing these results, we aim to determine potential areas for ecotourism in terms of sustainable development, and we expect the results to provide useful ideas for further research.
Oblivious Homomorphic Encryption

In this paper, we introduce Oblivious Homomorphic Encryption (OHE) which provably separates the computation spaces of multiple clients of a fully homomorphic encryption (FHE) service while keeping the evaluator blind about whom a result belongs. We justify the importance of this strict isolation property of OHE by showing an attack on a recently proposed key-private cryptocurrency scheme. Our two OHE constructions are based on a puncturing function where the evaluator can effectively mask ciphertexts from rogue and potentially colluding clients. We show that this can be implemented via an FHE scheme plus an anonymous commitment scheme. OHE can be used to provide provable anonymity to cloud applications, to single server implementations of anonymous messaging as well as to account-based cryptocurrencies.
Relationship between emotional control and marital satisfaction in 20 to 45 years old boy in Torbat Heydarieh

The purpose of this study was to investigate the relationship between emotional control and marital satisfaction in couples between 20 to 45 years old in Torbat Heydarieh . The present of Analytical descriptive was from the kind of correlation that the satistical of society that all of couple 20 to 45 years old of Torbat Heydarieh were in the 1396 . In the middle of them 375 number were selected by random cluster sampling . All of them were emotional control questionnaires (Roger and Nashvour 1987) and marital satisfaction (Olson et al . 1988 ). Data were analyzed by multiple regression analysis with the help of SPSS software . The result showed that emotional control was able to significantly and in the positive direction marital . Satisfaction is predicted by couples also emotional control dimensions including aggression control rumination and benign control could significantly predict marital satisfaction in couples . according to this finding psychologist and counselors need to focus on the dimensions of emotional control and based on them to design and implement programs to increase the marital satisfaction of couples.
SAT0629 Electrodiagnostic vs ultrasonography: which one is better to confirm diagnosis of ulnar neuropathy at elbow?

Background Ulnar neuropathy at the elbow is the second most common compression neuropathy preceded by carpal tunnel syndrome. Although this diagnosis has been traditionally confirmed by electrodiagnosis (EDX), ultrasonography (US) is a re-emerging alternative method which can also evaluate the cubital zone anatomy. This study determines the maximum amount of US sensitivity and specificity by assessing different sonographic parameters and evaluates consistency and diagnostic value of the best US method in compare with EDX. Methods We included 66 participants (32 elbows of patient and 34 normal elbows) and performed physical exam, US and EDX for both groups. Patients were classified into four severity grades using EDX criteria. The parameters of US were cross sectional area (CSA) of ulnar nerve at three levels: medial epicondyle (CSA med), 2cm distal (CSA dist) and 2cm proximal (CSA prox) to medial epicondyle. Then we would be able to evaluate consistency between two tests using area under receiver operating curve (AU-ROC) method and also to determine the optimum CSA cut-off point to better diagnosis of ulnar neuropathy by US. Results Our findings showed that CSA med and CSA dist had significantly larger size in patients compared to normal participants (P-value =0.01 and 0.05, respectively). This increase in nerve size was more prominent among those who had axonal lesion rather than patients with demyelinated lesion (p-value <0.01). Moreover those who had longer duration of symptoms had significantly higher CSA med. and CSA dist. (p-value=0.015 and 0.001 respectively). The other promising findings were two important points; First a strong correlation between CSA med. and severity grade (p-value=0.034) and the second correlation was between CSA med and CSA dist. with a cross-elbow nerve conduction velocity (NCV) (p-value=0.01 and 0.02, respectively). Finally we assessed US diagnostic value as it showed AU-ROC =0.871, that means a very good coverage for an alternative diagnostic method. Also our results showed specificity of 80% and sensitivity of 84% for US in the CSA med cut-off point =9mm2 for diagnosis of ulnar nerve entrapment at elbow. Conclusions Based on these results we can conclude that US is a highly sensitive and specific method to diagnose ulnar neuropathy at elbow and can be used as an alternative and complementary method in diagnosis of ulnar neuropathy at elbow in particular when EDX is not available. However it could not be still a definitive and substitute mutually exclusive method to EDX in diagnosis of ulnar neuropathy Acknowledgements Disclosure of Interest None declared
In situ measurements of Antarctic snow compaction compared with predictions of models

[1] We describe in situ measurements of the compaction of Antarctic snow. At three different sites in Antarctica, the rate of compaction was measured hourly, over various depth intervals, for up to two years. These measurements show that compaction at each of the sites occurs through slow, viscous deformation of the snowpack, with no significant contribution from sudden collapse of weak layers. The measured rates of compaction at the coldest site exhibit a strong seasonality, consistent with a temperature-dependent sintering mechanism having activation energy of 70 kJ mol−1. At the two warmer sites, activation energies of 80 and 120 kJ mol−1 provide slightly better agreement with the observations. Published models of snow compaction underestimate the temperature sensitivity. A good match to our observations is provided by a semi-empirical model, based on rate equations for lattice-diffusion (Nabarro-Herring) creep of material around pores, combined with normal grain growth. This model also provides a theoretical basis for a widely used empirical model of snow compaction. The rate coefficient for lattice-diffusion inferred from our measurements is considerably higher than published values, however, and other creep mechanisms cannot be ruled out.
Upshots of rapid protein digestibility in legume based grow out diets

Improving protein digestibility in nutrient poor fish feeds through incorporation of dietary enzymes is expected to be achieved with protease. Understanding the role of other dietary enzymes was therefore evaluated to guide appropriate use for optimal fish growth. Protein digestibility of 30, 35, 50 and 55% crude protein (CP) diets was determined with catfish gut enzyme extract, sprouted sorghum, protease and phytase both singly and in a mixture of 500 units of protease and phytase using the pH drop method in vitro . Significant (p<0.05) digestibilities were recorded in 30 and 35% CP diets incorporated with phytase and in 50 and 55% CP diets incorporated with protease singly. These results showed that protein digestibility was more efficient with protease enzyme in high protein diets while phytase was efficient in low protein diets. This implied that the use of protease was more beneficial in catfish starter feeds and phytase in grower/finisher diets and provided a basis for enzyme selection for production of cost-effective catfish diets.
Formation and specification of a Drosophila dopaminergic precursor cell

INTRODUCTION A key aspect of neurogenesis concerns how neural precursors are generated and acquire specific fates. The simplified view is that patterning proteins, consisting of intercellular signaling pathway components and transcription factors, activate downstream transcription factors that promote neural precursor formation and direct specific precursor fates (Skeath and Thor, 2003). The combined action of these proteins activates additional factors that control neuron-specific differentiation. Despite conceptual understanding of the factors involved, there are few in vivo examples in which the developmental progression of individual neurons has been comprehensively followed from the undifferentiated neuroectoderm to the differentiated neuron. Yet, studies of individual neurons and their precursors are particularly valuable for their detailed, mechanistic insights. An attractive system for the systematic study of neuronal development is provided by Drosophila CNS midline cells (Fig. 1) (Wheeler et al., 2006). These cells reside between the two hemiganglia of the Drosophila ventral nerve cord (VNC). Initially consisting of 16 ectodermal cells per segment (referred to as 'mesectoderm'), these cells express single-minded (sim), which acts as a master regulator of midline cell development (Nambu et al., 1991). From this seemingly uniform set of precursor cells emerge an array of diverse interneurons, motoneurons, neurosecretory neurons, axon-ensheathing anterior midline glia (AMG) and non-ensheathing posterior midline glia (PMG) (Wheeler et al., 2006). Five of the 16 mesectodermal cells give rise
A STUDY ON CUSTOMER RELATIONSHIP MANAGEMENT IN

Customers are the focal point in the development of successful marketing strategy. Customer retention assumes significance in revenue analysis of various organizations. The success of CRM process depends on the active involvement of all managers and employeesin the banking field a unique ‘Relationship’ exists between the customers and thebank. But because of various reasons and apprehensions like financial burdens, risk of failure,marketing inertia etc., many banks are still following the traditional ways of marketing and onlyfew banks are making attempts to adapt CRM.Providing service to customers has been identified as the prime responsibility of the Banks andtherefore, Banks considered that CRM is the best tool to perform the job of renderinggood services.The lack of understanding on CustomerRelationship Management (CRM) is always a concern among the service providers especiallybanks. Banks have their own way of managing their relationships with the customers. However,the perception of customers on CRM practices among banks should also be taken intoconsideration. CRM activity attend the needs of customers without delay in time, the banks can create more awareness to customers and can create a customer data base very significantly.