Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining crowdsourced trajectory and geo‐tagged data for spatial‐semantic road map construction

The road map is a fundamental part of a spatial data infrastructure (SDI), and is widely applied in navigation, smart transportation, and mobile location services. Recently, with the ubiquity of positioning devices, crowdsourced trajectories have become a significant data resource for road map construction and updating. However, existing trajectory‐based methods mainly place emphasis on extracting road geometry features and may ignore continuous updating of road semantic information. Hence, we propose a divide‐and‐conquer method to construct a spatial‐semantic road map by incorporating multiple data sources (e.g., crowdsourced trajectories and geo‐tagged data). The proposed method divides road map construction into two sub‐tasks, road structure reconstruction and road attributes inference. The road structure reconstruction process starts to partition raw trajectory data into different cliques of roadways and road intersections, and then extracts various targeted road structures by analyzing the turning modes in different trajectory cliques. The road attributes inference process aims to infer three pieces of crucial semantic information about road speeds, turning rules, and road names from crowdsourced trajectories and geo‐tagged data. The case studies in Wuhan were examined to illustrate that the proposed method can construct a routable road map with enhanced geometric structures and rich semantic information, providing a beneficial data solution for car navigation and SDI update.
Dual-band stacked folded shorted patch antenna

A novel stacked folded shorted patch antenna for dual-band operation is presented. It has impedance bandwidths (SWR<2) of 22.9 and 20.3% in the lower and the upper bands, respectively. It is 0. 046λL in height and 0. 27λL in length, where λL is the free space wavelength at the centre frequency of the lower band. Therefore, it is very suitable for today's multi-band wireless communication systems.
Exploring the Relationship between Interest in Higher Education and 12th Grade Mathematics NAEP Scores

This study presented a secondary analysis of the National Assessment of Educational Progress (NAEP) dataset. The paper examined if a gap exists between the mathematics scores of 12th-grade public school students who have different levels of interest in higher education. - This study used a quantitative descriptive research design to analyze data from the 2013, 2015, and 2019 NAEP data sets. The findings include (1) the average mathematics scale score of students who complete college entrance exams, ACT/SAT, is higher than those who do not complete these exams. (2) The average mathematics scale score of students who complete the FAFSA is higher than those who do not complete the FAFSA. (3) Students who applied to four-year colleges performed significantly higher on the 12th-grade mathematics NAEP than those who did not. (4) Students who applied to two-year colleges performed significantly lower on the 12th-grade mathematics NAEP than those who did not. (5) Students who perceived a future benefit to mathematics scored higher on the mathematics NAEP. These findings indicate that students who are interested in higher education, particularly four-year education, do have higher 12th NAEP mathematics scores. These findings may provide insight into college preparation and guidance at the high school level.
Arid1a promotes thymocyte development through β‐selection‐dependent and β‐selection‐independent mechanisms

Early T‐cell development from CD4− CD8− double‐negative (DN) stage to CD4+ CD8+ double‐positive (DP) stage in the thymus is regulated through multiple steps involving a batch of sequentially expressed factors. Our preliminary data and a recent report showed that AT‐rich interaction domain 1A (Arid1a) is required for the transition from DN to DP stages, but the mechanism is not fully understood. In this study, we consolidated that conditional deletion of Arid1a in T‐cell lineage intrinsically caused developmental blocks from DN3 to DN4 stages, as well as from DN4 to DP stages using both in vivo adoptive T‐cell transfer model and in vitro culture system. The expression of intracellular TCRβ is significantly decreased in Arid1a‐deficient DN4 cells compared with WT cells. OT1 transgenic TCR can rescue the defect in the transition from DN3 to DN4 stages, but not from DN to DP stages. Furthermore, we observed a comparable or stronger proliferation capacity accompanied by a significant increase in cell death in Arid1a−/− DP cells compared with that in WT controls. RNA‐Seq analysis shows a significant enrichment of apoptotic pathway within differentially expressed genes between Arid1a−/− and WT DP cells, including the upregulation of Bim, Casp3 and Trp53 and the downregulation of Rorc, Bcl‐XL and Mcl1. Therefore, our study reveals a novel mechanism that Arid1a controls early T‐cell development by maintaining intracellular TCRβ expression‐mediated β‐selection and activating parallel cell survival pathways.
Gamma Regressive Individuals Control Charts for Influenza Activity

ABSTRACT Statistical process control has been considered along with generalized linear models of influenza activity. Different combinations of distribution and link assumptions have been formally compared in order to choose one that would seem theoretically appropriate. Specificity of gamma regression–based individuals control charts for influenza activity has been estimated and compared to begin answering the important question: What are reasonable expectations about errors associated with outbreak detection? Results include performance among gamma regression–based charts for laboratory data that is relatively near what one should expect from traditional process control. It is shown how more theoretically appropriate statistically quality control models of flu activity become increasingly specific and so useful in identifying non-seasonal outbreaks. And it is shared how this research is being applied in practice.
Hemodynamic Influence of Different Pulmonary Stenosis Degree in Glenn Procedure: A Numerical Study

Background. Single ventricle disease is treated by Glenn surgery. It is generally accompanied by stenosis on a pulmonary artery or its branches, which has great effect on hemodynamics. This study investigated the hemodynamic influence of different pulmonary stenosis degree in Glenn procedure. Materials. Four three-dimensional Glenn models with different left pulmonary artery stenosis rates as, respectively, 0% (model 1), 25% (model 2), 50% (model 3), and 75% (model 4) by the diameter were generated. Method. Geometric multiscale analysis method was used in the numerical simulations by coupling the lumped parameter model (LPM) and three-dimensional model. Results. During one cardiac cycle, the flow ratio between left pulmonary artery and superior vena cava was about 0.49 for models 1, 2, and 3, while the ratio decreased to 0.34 for model 4. On the other hand, hemodynamics parameters like power loss and oscillation shear index show complications of the stenosis to the postoperative development. Conclusion. When the stenosis rate is above 75%, it is suggested to treat stenosis before Glenn procedure, while when the stenosis rate is below 50%, there is no necessity to pay attention to it due to the little effect it makes.
Genome-wide, integrative analysis of microRNA-mediated gene regulation in human wounds reveals cooperating microRNAs as therapeutic targets

MicroRNAs (miR), as important epigenetic control factors, reportedly regulate wound repair. However, our insufficient knowledge of clinically relevant miRs hinders their potential therapeutic use. For this, we performed miR and mRNA paired expression profiling in human acute wounds and chronic non-healing venous ulcers (VU) and presented our findings on a browsable web portal (http://130.229.28.87/shiny/miRNA_Xulab/). Integrative miR and mRNA-omics analysis unraveled miR-mediated gene regulatory networks in each repair phase of the wound repair process. Importantly, we identified 17 pathologically relevant miRs exhibiting abnormal expression in VU and displaying their targetome enriched in the VU gene signature. Study of the targetome and functions of eight clinically relevant miRs in skin cells revealed that the miRs upregulated in VU (i.e., miR-34a/c-5p, miR-424-5p, miR-450-5p, miR-7704, and miR-516-5p) promoted inflammation but inhibited proliferation. In contrast, the miRs downregulated in VU (i.e., miR-218-5p and miR-96-5p) were required for cell growth and activation. Moreover, we demonstrated miR-34a, miR-424, and miR-516 cooperativity in regulating keratinocyte growth and inflammatory response. Collectively, our study suggests that VU-dysregulated miRs cooperatively contribute to stalled wound healing characterized by failed transition from inflammatory-to-proliferative phase. Targeting cooperating miRNAs provide mew opportunity for development of clinically-relevant targeted therapy to attain higher therapeutic efficacy and specificity.
Influence fast or later: Two types of influencers in social networks

In real-world networks, there usually exist a small set of nodes that play an important role in the structure and function of networks. Those vital nodes can influence most of other nodes in the network via a spreading process. While most of the existing works focused on vital nodes that can maximize the spreading size in the final stage, which we call final influencers, recent work proposed the idea of fast influencers, which emphasizes nodes’ spreading capacity at the early stage. Despite the recent surge of efforts in identifying these two types of influencers in networks, there remained limited research on untangling the differences between the fast influencers and final influencers. In this paper, we firstly distinguish the two types of influencers: fast-only influencers and final-only influencers. The former is defined as individuals who can achieve a high spreading effect at the early stage but lose their superiority in the final stage, and the latter are those individuals that fail to exhibit a prominent spreading performance at the early stage but influence a large fraction of nodes at the final stage. Further experiments are based on eight empirical datasets, and we reveal the key differences between the two types of influencers concerning their spreading capacity and the local structures. We also analyze how network degree assortativity influences the fraction of the proposed two types of influencers. The results demonstrate that with the increase of degree assortativity, the fraction of the fast-only influencers decreases, which indicates that more fast influencers tend to keep their superiority at the final stage. Our study provides insights into the differences and evolution of different types of influencers and has important implications for various empirical applications, such as advertisement marketing and epidemic suppressing.
Design, modelling and test results of the AWS PM linear generator

The Archimedes Wave Swing (AWS) is a system that converts ocean wave energy into electrical energy. A pilot plant of this system has been built. This paper describes the design of the permanent-magnet (PM) linear synchronous generator applied in the AWS. Based on a magnetic circuit model, it is concluded that saturation does not play an important role. The correlation between measured and calculated generator parameters and no-load voltage is reasonable, which indicates that the generator is adequate.
Patterns of productive software organizations

Software development is a predominantly social activity. Individuals in a software project fill various roles and communicate with other roles, forming a social network of communication that embodies many important characteristics of the organization. These social networks lend themselves to both quantitative and visual analysis. In an attempt to isolate important factors that contribute to software productivity, we have used both visual and quantitative data to uncover patterns of organization and process that are characteristic of highly productive software projects. These patterns, in turn, have enabled us to establish guiding principles for roles and for communication among roles. Several projects have begun to apply these patterns in a generative manner to reshape their organizations.
Blockchain Technology and the Future Development of Cities

: Judging from the facts of urban development, I believe that technology is the core element that affects urban development and can promote the continuous evolution of urban development. In recent years, blockchain technology has gradually emerged, and is known as the next generation of disruptive core technology following steam engines, electricity, and the Internet. Therefore, the combination of blockchain technology and the future development of cities is an inevitable trend. With its decentralized, open and transparent, non-tamperable, and smart contract characteristics, it will build a global information chain, establish ownership of property rights, and reduce interaction costs. Institutional innovation and other aspects reflect the impact on the future development of the city, which will bring certain changes to the population, activities, and space of the future development of the city, and it will enter the stage of blockchain city in the future. This article will discuss blockchain technology and future urban development, and will verify the feasibility of blockchain cities.
Can Chemical Exchange Saturation Transfer (CEST MRI) be used as biomarker of disease progression in Prion Disease?

Human prion diseases are fatal neurodegenerative disorders that may have prolonged asymptomatic incubation periods. However, the underlying mechanism by which prions cause brain damage remains unclear. In turn, characterization of early pathological aspects would be of benefit for the diagnosis and potential treatment of these progressive neurodegenerative disorders. We investigated chemical exchange saturation transfer (CEST) MRI based on its exquisite sensitivity to cytosol protein content as a surrogate for prion disease pathology. Three groups of prion-infected mice at different stages of the disease underwent conventional magnetic resonance imaging and CEST MRI at 9.4T. For each mouse, chemical exchange contrasts were measured by applying five RF powers at various frequency offsets using magnetization transfer asymmetries. Relayed Nuclear Overhauser effects (NOE*) and amide proton transfer (APT*) were also assessed. For comparison, CEST MRI measurements were also made in healthy control mice brains. Here we show that alterations in CEST signal were detected before structural modifications or any clinical signs of prion disease. The detected CEST signal displayed different patterns at different stages of the disease indicating its potential for use as a longitudinal marker of disease progression. Highly significant correlations were found between CEST metrics and histopathological findings. A decline in NOE signal was positively correlated with abnormal prion protein deposition (R2 = 0.91) in the thalami of prion infected mice. Moreover, the NOE signal was negatively correlated with astrogliosis (R2 = 0.71) in the thalamus. No significant correlations were detected between NOE signals and spongiosis. MTR asymmetry at 3.5 ppm was also correlated with astrogliosis (R2 = 0.59), and prion protein deposition (R2 = 0.63) in thalamus. No significant changes were detected in APT* between prion-infected and control mice at all stages of the disease. Finally, MTR asymmetry between 2.8 and 3.2 ppm was correlated with prion protein deposition (R2 = 0.47) in the thalamus of prion -infected mice. To conclude, CEST MRI has potential utility as a biomarker of neurodegenerative processes in prion disease.
Open ocean aquaculture engineering : Numerical modeling

Finite element analysis (FEA) is used to predict the dynamic performance of an offshore fish cage and submerged mooring grid system. The system has been deployed at an exposed demonstration site in 55 metes of water south of the Isles of Shoals, New Hampshire. Computer simulations were performed to investigate the dynamics of the cage motion and to calculate mooring line tensions. The results were used to establish the baseline design specifications and to evaluate the overall performance of the system. Both surface and,submerged positions of the net pen are considered. It is shown that the extreme environmental loading conditions at the demonstration site produce 60% less mooring tension in the case of a submerged cage. According to the analysis, the case when one of four mooring legs becomes disabled will not produce the failure of the mooring system. The problem of adequate modeling of net is addressed. A simple technique is proposed to approximate the effect of netting on the overall dynamic response of fish cage/ mooring systems.
Effect of banana peel flour on rheological, physico-chemical, mineral content and sensory properties of chicken patties

PurposeThe present study was conducted to evaluate the effect of banana peel flour as fat replacer on rheological, physico-chemical, textural, mineral content and sensory properties of chicken patties.Design/methodology/approachUltra low fat chicken patties were prepared with incorporation of banana peel flour at 0% (C), 1% (BP1), 2% (BP2) and 3% (BP3) levels separately to replace 50% externally added vegetable fat in formulation and evaluated for various quality characteristics and sensory attributes.FindingsHighest G' and G''? modulus were observed in banana peel powder incorporated emulsion. No cross-point was observed at all ranges of frequency in meat emulsions prepared with banana peel. Among physico-chemical properties, control had significantly (p < 0.05) higher emulsion pH, emulsion stability, product pH, water activity values, fat and cholesterol content; however, cooking yield, moisture and ash content, fat retention and moisture retention values increased significantly (p < 0.05) in treatment patties. Mineral, textural and colour parameters had a significant (p < 0.05) effect except on manganese content and a* values. Various sensory scores decreased significantly (p < 0.05) with increased level of banana peel flour.Practical implicationsSensory scores of 3% banana peel powder incorporated patties were significantly (p < 0.05) lower than other treatments. There was no significant difference between 1 and 2% banana peel incorporated chicken patties. Therefore, an ultra low fat chicken patties incorporated with 2.0% banana peel flour to replace 50% vegetable fat were selected as the best treatment.Originality/valuePresent global trend and life style are currently driving ready-to-eat healthy meat products and factors include extended working hours, increasing number of single-person households and perception of food as reward. Fat is an important component of meat products and imparts tenderness, improving flavor and mouth feel to processed meat products, like chicken patties. However intake of excess energy in form of saturated and unsaturated fat may lead to various life style diseases in consumers. Hence development of ultra low fat chicken patties with incorporation of fruit waste without adverse effect on sensory properties may be a significant challenge.
Power performance of 65 nm CMOS integrated LDMOS transistors at WLAN and X-band frequencies

Laterally diffused metal oxide semiconductor (LDMOS) transistors with 10 V breakdown voltage have been implemented in a 65 nm Complementary metal oxide semiconductor (CMOS) process without extra masks or process steps. Radio frequency (RF) performance for Wireless local area network (WLAN) frequencies and in X-band at 8 GHz is investigated by load-pull measurements in class AB operation for both 3.3 and 5 V supply voltage. Results at 2.45 GHz showed 290 mW/mm output power density with 17 dB linear gain and over 45% power added efficiency (PAE) at 4 dB compression at a supply voltage of 5 V. Furthermore, results in X-band at 8 GHz show 8 dB linear gain, 320 mW/mm output power density and over 22% PAE at 4 dB compression. Third-order intermodulation measurements at 8 GHz revealed OIP3 of 18.9 and 21.9 dBm at 3.3 and 5 V, respectively. The transistors were also tested for reliability which showed no drift in quiescent current after 26 h of DC stress while high-power RF stress showed only small extrapolated drift at 10 years in output power density. This is to the authors' knowledge the first time high output power density in X-band is demonstrated for integrated LDMOS transistors manufactured in a 65 nm CMOS process without extra process steps.
Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet

Einleitung: Für die Qualitätssicherung von automatisch auswertenden Elektrokardiografen, zur Weiterentwicklung von Algorithmen der computergestützten EKG-Diagnostik sowie für die medizinische Forschung auf dem Gebiet der Kardiologie gewinnen gut dokumentierte und signaltechnisch hochwertige EKG-Signaldatenbanken weltweit an Bedeutung. In der PTB wird seit einigen Jahren eine derartige Datenbank unter dem Namen CARDIODAT aufgebaut. Diese Datenbank ist eine Signaldatenbank, d.h. sie enthält sowohl die digitalisierten EKGSignale sowie die entsprechenden zu diesen EKG's gehörenden Befunde und Patientenangaben. Die Akzeptanz solcher Datenbanken hängt u.a. entscheidend von der Verfügbarkeit der enthaltenen Daten unabhängig vom Standort und der ComputerPlattform des Nutzers ab.
Development of a numerical hydrodynamic tank for ship motion simulation

In this paper, an integrated computational procedure for simulation of two-phase flow as well as floating and submerged body motions is presented based on a Volume of Fluid (VoF) - fractional step coupling. Two fluids are modeled as a single continuum with a fluid property jump at the interface by solving a scalar transport equation for volume fraction. In conjunction, the conservation equations for mass and momentum are solved using fractional step method. Based on integration of stresses over a body, acting forces and moments are calculated. Using the strategy of non-orthogonal body-attached mesh and calculation of motions in each time step, result in time history of floating or submerged body motions. To verify the accuracy of the numerical procedure in simulation of two-phase flow, sloshing and dam breaking with obstacle problems are investigated. Besides, motions simulation strategy is evaluated by using cylinder water entry test case. To demonstrate the capability of simulation, barge resistance is calculated in two cases of fixed and free motion (2-DoF). All of the results are in good concordance with experimental data. The present method can be extended for full nonlinear motion of ships in waves.