Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigations of thermal crosstalk in laser arrays for WDM applications

Our studies on the thermal crosstalk of laser arrays with integrated thin-film heaters involved theoretical as well as experimental investigations. Comparing the effects of intentional geometrical variations of the device design, we found that the relative thermal crosstalk depends critically on the distance between the active area and the film heater. The most striking result is that a minimization of the thermal resistivity of the device does not always lead to a reduced thermal crosstalk. We demonstrate that an additional heat barrier close to the active region and/or an improved heat transfer between the submount and the heat sink may reduce the relative thermal crosstalk, a result completely unexpected from intuitive considerations.
Phenomenological Study of Liquid Impacts Through 2D Compressible Two-fluid Numerical Simulations

A complete sloshing assessment within tanks of a membrane LNG vessel is far beyond the state-of-the-art capabilities of numerical simulations. Therefore, the only tools available today for such an assessment remain model tests at small scale. Nevertheless one must keep in mind that these tests represent an experimental modelling of the reality. Through a parametric study based on numerical simulations of academic liquid impacts, this paper shows that for a perfect similarity between full scale and model scale, not only the excitation motions must be Froude scaled and the Density Ratio between gas and liquid must be kept equal, but also the speeds of sound in both gas and liquid must be Froude scaled. With these constraints, the different phenomena involved locally during a sloshing impact, including the compressibility effects, are balanced in the same way at both scales, regardless of the impact conditions. Therefore, the impact pressures can be strictly derived at full scale from model scale values by Froude scaling. This ideal situation is not realistic as the speeds of sound required for the gas and the liquid at scale 1:40 would be respectively 45 m/s and 270 m/s. After analysing the influence of each parameter involved in the problem, the study concludes that adopting model tests with water and a mixture of Sulfur Hexafluoride (SF6) and Nitrogen (N2) in the right proportion to match the Density Ratio of LNG in equilibrium with its vapour is a good trade-off for the time being. It improves significantly the representativeness of model tests with regard to the solution with water and air.
Separate and Combined Effects of Chlortetracycline and Oxytetracycline on Growth and Antioxidant Enzymes in Myriophyllum Aquaticum

As two typical tetracyclines, chlortetracycline (CTC) and oxytetracycline (OTC) coexist widely in water. In the experiment, Myriophyllum aquaticum (Vell.) Verdc was exposed to the orthogonal hydroponic environment with the concentrations of CTC and OTC at 1, 10, and 50 mg/L for 7 days (7 D) and 14 days (14 D). The results showed that the plant height, relative growth rates (RGR), and photosynthetic pigment contents of M. aquaticum decreased significantly after 14 D of CTC/ OTC, which was stronger than that after 7 D, and the toxicity of CTC was stronger than OTC. The combined toxicity of the two on the RGR and total chlorophyll content was mainly synergistic or additive after 7 D. After 14 D, the interaction changed to antagonism or addition, and the response of total chlorophyll content was more obvious than that of RGR. After 7 D of combined treatments, the malondialdehyde (MDA) content decreased significantly, superoxide dismutase (SOD), catalase (CAT) and peroxidase (POD) activities responded to different combined concentrations, respectively, and CAT was the main protective enzyme of M. aquaticum. After 14 D of combined treatments, the hydrogen peroxide (H2O2) content increased significantly, the MDA content increased first and then decreased, and POD was the main protective enzyme among the three antioxidant enzymes. Overall, this study provided the first insight into the single and combined toxicity of CTC and OTC on the growth and physiology of M. aquaticum at different time periods, revealing the reversal of the combined toxicity with time of exposure.
A meta‐analysis of sex differences in animal personality: no evidence for the greater male variability hypothesis

The notion that men are more variable than women has become embedded into scientific thinking. For mental traits like personality, greater male variability has been partly attributed to biology, underpinned by claims that there is generally greater variation among males than females in non‐human animals due to stronger sexual selection on males. However, evidence for greater male variability is limited to morphological traits, and there is little information regarding sex differences in personality‐like behaviours for non‐human animals. Here, we meta‐analysed sex differences in means and variances for over 2100 effects (204 studies) from 220 species (covering five broad taxonomic groups) across five personality traits: boldness, aggression, activity, sociality and exploration. We also tested if sexual size dimorphism, a proxy for sex‐specific sexual selection, explains variation in the magnitude of sex differences in personality. We found no significant differences in personality between the sexes. In addition, sexual size dimorphism did not explain variation in the magnitude of the observed sex differences in the mean or variance in personality for any taxonomic group. In sum, we find no evidence for widespread sex differences in variability in non‐human animal personality.
Fast high-accuracy compact conservative difference schemes for solving the nonlinear Schrödinger equation

Fast high-order compact finite difference schemes are investigated for solving the two-dimensional nonlinear Schrödinger equation with periodic boundary conditions. These schemes are convergent of order s in space, where ( ) with second-order temporal accuracy. The discrete conservation laws and convergence of the finite difference schemes are rigorously demonstrated. Thanks to the circulant matrices resulting from spatial discretization, we significantly reduce the computation complexity and storage requirement of the proposed schemes via fast Fourier transform. Numerical examples are presented to show the accuracy and efficiency of these schemes and verify the theoretical analysis. Moreover, we extend the tenth-order scheme to solve the generalized nonlinear Schrödinger equation.
Preventive Control for Transient Security with Generation Rescheduling Based on Rotor Trajectory Index

The increasing need to improve transient security assessment of existing or forecasted operating conditions of networks by power system operators is major concern of the power system security monitoring problem at the Energy Management Systems. This paper proposes a preventive control of transient stability with generation rescheduling based on rotor trajectory index obtained using time domain simulations. This index may help power engineers in making operational decision and to obtain a generation configuration with better transient security dispatch. The effectiveness of the proposed methodology is demonstrated on IEEE 39-bus New England system for a three phase fault at different loading conditions with single and multiple line outage cases.
Aggregated Electric Vehicle Fast-Charging Power Demand Analysis and Forecast Based on LSTM Neural Network

With the widespread use of electric vehicles, their charging power demand has increased and become a significant burden on power grids. The uncoordinated deployment of electric vehicle charging stations and the uncertainty surrounding charging behaviors can cause harmful impacts on power grids. The charging power demand during the fast charging process especially is severely fluctuating, because its charging duration is short and the rated power of the fast chargers is high. This paper presents a methodology to analyze and forecast the aggregated charging power demand from multiple fast-charging stations. Then, pattern of fast-charging power demand is analyzed to identify its irregular trend with the distribution of peak time and values. The forecasting model, based on long short-term memory neural network, is proposed in this paper to address the fluctuating of fast-charging power demand. The forecasting performance of the proposed model is validated in comparison with other deep learning approaches, using real-world datasets measured from fast-charging stations in Jeju Island, South Korea. The results show that the proposed model outperforms forecasting fast-charging power demand aggregated by multiple charging stations.
AN EMPIRICAL STUDY OF SMARTPHONE BASED TRACKING DEVICES AND ANALYSIS OF ITs DEMAND & MARKET

Abstract The issue of misplaced and lost items is one that at least everybody had to face at some point in their life. People more often not tend to lose or misplace common home appliances and personal effects ranging from phones, hand-held devices such as PDAs and keys. In an attempt to solve this difficulty of locating and tracking commonly misplaced items, the last decade has witnessed the emergence of tracking devices for such items. With time the market demand for these devices that operate with smart phones has been burgeoning in the recent past. This trend of a sudden increase in the market demand for such devices may be explained by reference to the various benefits and advantages. The random sampling technique used to evaluate the consumer preferences, 1000 smartphone users was targeted to describe the misplaced items issue and their views on tracking solutions. Our study explored the extensive demand of smartphone based tracking devices and it shows the strong desire of tracking devices should be part of basic cell phone package. Based upon our findings we suggest that the Bluetooth based items tracking technology provides an excellent means of Location-based Services (LBS) to meet the consumer requirements. The system, which is versatile and multi-faceted, helps in tracking lost and misplaced items. In the end of paper, managerial implications and research limitations are presented
Genetic Variants Associated with Thyroid Cancer Risk: Comprehensive Research Synopsis, Meta-Analysis, and Cumulative Epidemiological Evidence

Purpose With the increasing incidence of thyroid cancer (TC), associations between genetic polymorphisms and TC risk have attracted a lot of attention. Considering that the results of associations of genetic variants with TC were usually inconsistent based on publications until now, we attempted to comprehensively evaluate the real evidence of associations between single nucleotide polymorphisms (SNPs) and TC risk. Method We performed meta-analyses on 36 SNPs in 23 genes associated with TC susceptibility based on the data from 99 articles and comprehensively valued the epidemiological evidence of significant associations through the Venice criteria and false-positive report probability (FPRP) test. OR and P value were also calculated for 19 SNPs in 13 genes based on the insufficient data from 22 articles. Results 19 SNPs were found significantly associated with TC susceptibility. Of these, strong epidemiological evidence of associations was identified for the following seven SNPs: POU5F1B rs6983267, FOXE1 rs966423, TERT rs2736100, NKX2-1 rs944289, FOXE1 rs1867277, FOXE1 rs2439302, and RET rs1799939, in which moderate associations were found in four SNPs and weak associations were found in eight SNPs. In addition, probable significant associations with TC were found in nine SNPs. Conclusion Our study systematically evaluated associations between SNPs and TC risk and offered reference information for further understanding of polymorphisms and TC susceptibility.
Analysis of demand response and wind integration in Germany's electricity market

Demand response represents an additional option for reserve capacity as first market experiences have demonstrated. An analysis for Germany shows capacities up to 3 GW and costs starting at 30 euro/MWh in the industrial sector, 8 GW in the commercial sector and more than 20 GW in the residential sector including night storage heating. Simulations of the German power system showed that using these potentials together with improved wind power predictions can limit the additional balancing costs in Germany to below 2 euro/MWh feed-in by wind turbines with 48 GW wind power in 2020.
System-level modeling and circuit design for low voltage CMOS equalizer for coaxial cable for video application

A new method of modeling coaxial cable frequency response with genetic algorithm was introduced. A system-level multi-stages adaptive equalizer model with QFB block was generated and tested with multiple cable models, pathological PRBS-23 data with data rate 1.5 GHz was used. This thesis also provided analysis of influences on output by using different parameters in simulations. Two adaptive equalizer circuits with different pre-amplifiers were implemented in GPDK 45 nm CMOS technology. Related simulations about adaptive ability, single stage compensation ability, and cascade stages compensation ability were completed. A tradeoff between output eye height and peak-to-peak jitter was discussed based on different simulations. Future work will be digital control circuit implementation, entire circuit fabrication, and testing.
Diffusion of Safety Innovations in the Construction Industry

AbstractSafety performance in the construction industry has improved significantly in the past four decades. This improvement has been attributed in part to the increased implementation of injury prevention strategies. Although the relative effectiveness of these strategies has been studied in previous research, there has been no attempt to evaluate their diffusion. To address this gap in knowledge, 12 highly effective administrative safety innovations were identified in literature, and 58 firms were interviewed to investigate their adoption rate. The diffusion patterns of the identified safety innovations were explored using four common innovation diffusion models: the internal, external, Bass, and Gompetz. The findings indicate that the internal and Bass models have the highest explanatory power and that internal factors are the most influential factors in adoption of safety innovations by construction firms. It was also found that project-specific training and safety meetings (91%), frequent worksite i.
Stereo Vision System for Vision-Based Control of Inspection-Class ROVs

The inspection-class Remotely Operated Vehicles (ROVs) are crucial in underwater inspections. Their prime function is to allow the replacing of humans during risky subaquatic operations. These vehicles gather videos from underwater scenes that are sent online to a human operator who provides control. Furthermore, these videos are used for analysis. This demands an RGB camera operating at a close distance to the observed objects. Thus, to obtain a detailed depiction, the vehicle should move with a constant speed and a measured distance from the bottom. As very few inspection-class ROVs possess navigation systems that facilitate these requirements, this study had the objective of designing a vision-based control method to compensate for this limitation. To this end, a stereo vision system and image-feature matching and tracking techniques were employed. As these tasks are challenging in the underwater environment, we carried out analyses aimed at finding fast and reliable image-processing techniques. The analyses, through a sequence of experiments designed to test effectiveness, were carried out in a swimming pool using a VideoRay Pro 4 vehicle. The results indicate that the method under consideration enables automatic control of the vehicle, given that the image features are present in stereo-pair images as well as in consecutive frames captured by the left camera.
SimAnMo—A parallelized runtime model generator

In this article, we present the novel features of the recent version of SimAnMo, the Simulated Annealing Modeler. The tool creates models that correlate the size of one input parameter of an application to the corresponding runtime and thus SimAnMo allows predictions for larger input sizes. A focus lies on applications whose runtime grows exponentially in the input parameter size. Such programs are, for example, of high interest for cryptanalysis to analyze practical security of traditional and post‐quantum secure schemes. However, SimAnMo also generates reliable models for the widespread case of polynomial runtime behavior and also for the important case of factorial runtime increase. SimAnMo's model generation is based on a parallelized simulated annealing procedure and heuristically minimizes the costs of a model. Those may rely on different quality metrics. Insights into SimAnMo's software design and its usage are provided. We demonstrate the quality of SimAnMo's models for different algorithms from various application fields. We show that our approach also works well on ARM architectures.
Analysis and Application of Cloud Data Center Energy Monitoring and Controlling

With the rapid development of China’s economy, energy has become an important factor restricting the development of the national economy sustainable. In building energy consumption, cloud data center is the key of the public building operation energy consumption, but has not been effectively controlled. The article analyzes the composition and the causes of the cloud data center energy consumption. Combining with the actual difficulty, we analyze and design the effective cloud data center management system which have functions of monitor, analyze and control and make a retrofit scheme of energy efficiency. Finally, through specific case we analyze the effect of the transformation of energy efficiency. In this article, we hope to provide reference for the modification of the future data centers to reduce energy consumption.
Comparison between Resonant Transmission Characteristics of Two Kinds of Cavities Embedded in a Thick Conductor

Jong-Hwan Lee, Jong-Ig Lee, Junho Yeo, Ji-Whan Ko, Young-Ki Cho 1 School of Electrical Engineering and Computer Science, Kuyngpook National University 1370, Sankyuk-3dong, Buk-gu, Daegu, Korea, ykcho@ee.knu. ac.kr, btlink08@hotmail.com 2 Department of Electronics Engineering, Dongseo University San69-1, Jurye-2dong, Sasang-gu, Busan, Korea, leeji@dongseo.ac.kr 3 School of Computer and Communication Engineering, Daegu University 15, Naeriri, Jillyang, Gyeongsan, Gyeongbuk, jyeo@daegu.ac.kr 4 School of Electronic Engineering, Kumoh National Institute of Technology 1, Yangho-dong, Gumi, Gyeongbuk, Korea, kojh@kumoh.ac.kr
Environmental Effects on RFID Tag Antennas

We have studied the effects of nearby objects on the read range of several types of RFID tags, and the impedance, pattern, and radiative efficiency of antennas that closely emulate the tag structures, using measurements and simulations. We find that the main reason for the decrease in read range at perpendicular incidence in close proximity to metals or dielectrics (such as water) is the decrease in electric field near the surface required to meet the boundary conditions. Detuning of the antenna plays an important role only when the tag is very close to the object. All tags tested show similar qualitative behavior, but significant quantitative distinctions in performance are observed for differing antenna designs.
The Impact of Virtual Nature Therapy on Stress Responses: A Systematic Qualitative Review

This study aims to review the key findings of past studies that assessed the impact of virtual environments, such as nature and forests for stress therapy. Previous research has found that virtual reality (VR) experiences affect socio-affective behavior, indicating the potential of using VR for cognitive and psychological stress therapy. However, evidence for the impacts of virtual forest therapy as a stress-reduction technique is lacking, and the usefulness of these techniques has yet to be determined. This review was carried out following the preferred reporting items for meta-analyses and systematic reviews. It summarized the literature and provided evidence on virtual forest therapy (VFT) effectiveness in stress relief. We conducted a literature search considering VR-related studies published from 2013 until June 2021 for different databases, including Embase, Medline/PubMed, Hindawi, ScienceDirect, Scopus, Web of Science, Taylor & Francis, and the Cochrane Library, to see how effective VFT reduces stress levels and improves mental well-being. According to the set inclusion criteria, eighteen relevant papers detailing original research were eligible for inclusion. This overview suggests that VR provides benefits for assessing and reducing stress levels. While real natural environments effectively promote recovery from stress, virtual exposure to nature also positively affects stress. Thus, VR could be an effective technique for promoting relaxation, particularly during the COVID-19 pandemic, where stress levels rise globally. However, more in-depth studies are required to substantiate this potential field of VR relaxation.
Improving public policy in the field of human resources reproduction as a regional sustainable development factor

The article explores demographic problems, such as birth rate decrease, high rate of mortality and structural unemployment in the RF regions through the example of a typical industrial territory - the Sverdlovsk region. The vital rate trends in the Sverdlovsk region are analyzed, where, since 2016, the growing population decline, demographic ageing and shrinking numbers of the economically active population have been observed. The reasons of the current demographic situation in the country and regions, having ample evidence of depopulation, are considered. Providing a simple population replacement mode, addressing social and demographic problems, necessary to increase human resources reproduction efficiency, are essential for the sustainable development of the regional economy. However, this can only be achieved through public administration system improvement and modern technologies implementation. It is proposed to increase the efficiency of interdepartmental interaction between healthcare, educational and labor institutions, which focus at birth rate increase, health improvement, education development, full population employment and provision of economic entities with qualified workforce. In addition, a set of measures is developed to combat depopulation and to improve human resources reproduction policy at the national and regional levels to provide for sustainable development.
In Situ Materials and Structural Assessment of Stress-Laminated Deck Bridge Treated with Chromate Copper Arsenate

A bridge consisting of three 6.7-m spans with a stress-laminated deck was constructed in 1991 in the Spirit Creek State Forest near Augusta, Georgia. The bridge was constructed by the Georgia Forestry Commission, with guidance from the U.S. Department of Agriculture, Forest Service, Forest Products Laboratory (FPL). Water-borne chromated copper arsenate lumber was used for the deck, instead of the oil-borne preservatives recommended by AASHTO. The bridge was initially monitored by FPL and remained in service from 1994 to 2001 with no maintenance, at which time the bridge was inspected and load tested and the posttensioning bars were restressed. In 2005 the bridge was again inspected and load tested, and the bars were retensioned. The results of the inspection and load tests are presented. The overall condition of the bridge is reported, along with details on the moisture condition, overall deck deflection, and timber strains under load. Details on the loss of posttensioning forces in the bars, and an investigation of the causes of this loss, are presented.