Miracle-dz/UniFAR-FTUs huggingface dataset:
CSI-F: A Human Motion Recognition Method Based on Channel-State-Information Signal Feature Fusion

The recognition of human activity is crucial as the Internet of Things (IoT) progresses toward future smart homes. Wi-Fi-based motion-recognition stands out due to its non-contact nature and widespread applicability. However, the channel state information (CSI) related to human movement in indoor environments changes with the direction of movement, which poses challenges for existing Wi-Fi movement-recognition methods. These challenges include limited directions of movement that can be detected, short detection distances, and inaccurate feature extraction, all of which significantly constrain the wide-scale application of Wi-Fi action-recognition. To address this issue, we propose a direction-independent CSI fusion and sharing model named CSI-F, one which combines Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU). Specifically, we have introduced a series of signal-processing techniques that utilize antenna diversity to eliminate random phase shifts, thereby removing noise influences unrelated to motion information. Later, by amplifying the Doppler frequency shift effect through cyclic actions and generating a spectrogram, we further enhance the impact of actions on CSI. To demonstrate the effectiveness of this method, we conducted experiments on datasets collected in natural environments. We confirmed that the superposition of periodic actions on CSI can improve the accuracy of the process. CSI-F can achieve higher recognition accuracy compared with other methods and a monitoring coverage of up to 6 m.
Uncertainty Analysis of Inland Water Quality Remote Sensing: A Review

Water quality remote sensing is the hot and difficult topic in the field of environment remote sensing.Various factors affect the improvement of inland water quality remote sensing precision.This paper comments on the outstanding problems existing in inland water quality remote sensing monitoring and some key factors influencing the water quality parameters information extraction precision both at home and abroad.The complexity of the optical characteristics of inland body embodies the independence of the water body components,the similarity of the characteristic spectrum and the coupling effects of water components signal and together with the temporal and spatial variation of the water optics.The uncertainty of atmosphere correction embodies the variation of atmospheric aerosol optical characteristics and the uncertainty of correction of reflected light from wave water surface.The complexity and regional characteristics of bio-optical models demand complex inversion algorithms.The scale effects and uncertainty of model validation are obvious for multi-source remote sensing data cooperative inversion.Inland water quality remote sensing differs from ocean color remote sensing,which demands remoted data with high spatial resolution,spectral resolution and temporal resolution.Therefore,the performance limitations of the available satellite sensors in inland water quality monitoring were discussed in detail.All the above-mentioned factors were complicated and integrated.The emphases and the development direction of inland water quality remote sensing were pointed out.
Association of Postoperative Hyperamylasemia With Clinically Relevant Postoperative Pancreatic Fistula in Pancreatoduodenectomy

Background In this study, we aimed to determine the association between postoperative hyperamylasemia (POH) and clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreatoduodenectomy (PD). Methodology A prospective observational study of 140 consecutive PDs between March 2020 and March 2022 was conducted. POH was defined as an elevation in serum pancreatic amylase levels above the institutional upper limit of normal on postoperative day (POD) 1 (>100 U/L). CR-POPF was defined as the International Study Group of Pancreatic Surgery Grade B or C POPF. The primary outcome was the rate of CR-POPF in the study population. The trial was prospectively registered with Clinicaltrials.gov (NCT04514198). Results In our study, 93 (66.42%) patients had POH (serum amylase >100 U/L). CR-POPF developed in 48 (34.28%) patients: 40 type B and 8 type C. CR-POPF rate was 43.01% (40/93) in patients with POH compared to 17.02% (8/47) in patients without POH (p = 0.0022). Patients with POH had a mean serum amylase of 422.7 ± 358.21 U/L on POD1 compared to 47.2 ± 20.19 U/L in those without POH (p < 0.001). Serum amylase >100 U/L on POD1 was strongly associated with developing CR-POPF (odds ratio = 3.71; 95% confidence interval = 1.31-10.37) on logistic regression, with a sensitivity and specificity of 83.3% and 42.4%, respectively. Blood loss >350 mL, pancreatic duct size <3 mm, and elevated POD1 serum amylase >100 U/L were predictive of CR-POPF on multivariate analysis (p < 0.001). Conclusions An elevated serum amylase on POD1 may help identify patients at risk for developing POPF following PD.
Dynamical Analysis of Multipathways and Multidelays of General Virus Dynamics Model

This paper considers a general virus dynamics model with cell-mediated immune response and direct cell-to-cell infection modes. The model incorporates two types of intracellular distributed time delays and a discrete delay in the CTL immune response. Under certain conditions, the model exhibits a global threshold dynamics with respect to two parameters: the basic reproduction number and the reproduction number of immune response. We use suitable Lyapunov functionals and apply Lasalle’s invariance principle to establish the global asymptotic stability of the two boundary equilibria. We also perform a bifurcation analysis for the positive equilibrium to show that the time delays may lead to sustained oscillations. To determine the direction of the Hopf bifurcation and the stability of the periodic solutions, the method of multiple time scales is applied. Finally, we carry out numerical simulations to illustrate our results.
Using GIS to Model the Effects of Potential Wetland Mitigation Sites on Water Quality in Georgia

We are currently developing a map of prioritized potential wetland mitigation sites to increase the effectiveness of wetland mitigation in Georgia. The purpose of this project is to create a single mapped resource that all players working on wetland restoration and mitigation can use to coordinate their activities, thus potentially providing greater positive cumulative effects on the health of watersheds. We are mapping assessed wetland functions and values determined via consultations with various federal, state and local stakeholders through a wetlands steering committee organized by the Georgia Environmental Protection Division. The result of this project is a landscape level planning tool identifying areas within high priority watersheds where potential wetland mitigation sites may be located. In this report we concentrate on one of the 18 layers we have developed to address how creation of potential wetland mitigation sites may positively affect water quality and quantity and potentially flood attenuation. Initial trends indicate that the creation of wetlands at identified high priority sites may have a positive effect on water quality through reduction of non-point source runoff.
Transnational Ecosystem Services: The Potential of Habitat Conservation for Waterfowl Through Recreational Hunting Activities

This article explores transnational ecosystem services in North America, provided by winter habitat for waterfowl in western Mexico coastal lagoons, and the hunting industry supported by these birds in the United States. This article shows that the number of waterfowl harvested in the United States is related to the abundance of waterfowl wintering in Mexico. On average, this flow of ecosystem services annually yields US$ 4.68 million in hunting stamp sales in the western United States. A demand curve, fitted to duck hunting licenses as a function of stamp price and previous-year waterfowl harvest, estimated US$3–6 million in consumer surplus produced in addition to governmental stamp sales revenue. This strongly suggests that waterfowl wintering habitat in western Mexico is economically valuable to U.S. hunters. Because hunters may benefit substantially from these habitats they may be willing to pay for conservation efforts in western Mexico that can result in transnational benefits received in the United States.
The Influence of Assimilated Targeted Observations Upon Ensemble Forecasts of Convection Initiation

ii Acknowledgements . x List of Figures . vii List of Tables . ix CHAPTER Introduction . 1 Methodology . 5 Experimental design . 5 CI event identification . 8 Verification metrics . 9 Results . 10 RF6: May 23 . 12 RF12: June 8 . 15 Summary and discussion . 16 References . 44
Development of NP-Based Universal Vaccine for Influenza A Viruses

The nucleoprotein (NP) is a vital target for the heterosubtypic immunity of CD8+ cytotoxic T lymphocytes (CTLs) due to its conservation among influenza virus subtypes. To further enhance the T cell immunity of NP, autophagy-inducing peptide C5 (AIP-C5) from the CFP10 protein of Mycobacterium tuberculosis was used. Mice were immunized intranasally (i.n.) with human adenoviral vectors, HAd-C5-NP(H7N9) or HAd-NP(H7N9), expressing NP of an H7N9 influenza virus with or without the AIP-C5, respectively. Both vaccines developed similar levels of NP-specific systemic and mucosal antibody titers; however, there was a significantly higher number of NP-specific CD8 T cells secreting interferon-gamma (IFN-γ) in the HAd-C5-NP(H7N9) group than in the HAd-NP(H7N9) group. The HAd-C5-NP(H7N9) vaccine provided better protection following the challenge with A/Puerto Rico/8/1934(H1N1), A/Hong Kong/1/68(H3N2), A/chukkar/MN/14951-7/1998(H5N2), A/goose/Nebraska/17097/2011(H7N9), or A/Hong Kong/1073/1999(H9N2) influenza viruses compared to the HAd-NP(H7N9) group. The autophagy transcriptomic gene analysis of the HAd-C5-NP(H7N9) group revealed the upregulation of some genes involved in the positive regulation of the autophagy process. The results support further exploring the use of NP and AIP-C5 for developing a universal influenza vaccine for pandemic preparedness.
Dry season forages for improving dairy cattle production in smallholder dairy systems.

Economically feasible strategies for year-round feed supply to dairy cattle are needed to improve feed resource availability, milk yield and household income for the smallholder dairy farming systems that dominate in the rural Eastern and Central African region. Currently, napier grass (Pennisetum purpureum) is the major forage in zero-grazing production systems, but production is often constrained. While forage legumes, including Centrosema pubescens and Clitoria ternatea are used to complement napier grass, Brachiaria spp, a new drought tolerant grass, is being introduced. Our results showed that the introduction of drought tolerant forage technologies improved milk yield and household income. Supplementing napier grass and forage legume mixture with Brachiaria and forage legume mixtures by 0.5 ha on farm, elevated household production levels and lead to economic returns of US$677/cow/year.
Evaporation modelling using different machine learning techniques

Accurate prediction of pan evaporation (Ep) is critical for water resource management. This article investigates the capabilities of three different soft computing methods at estimating monthly Ep at six stations in the Yangtze River Basin using climatic factors, including the air temperature (Ta), solar radiation (Rg), air pressure (Pa) and wind speed (Ws) for the period of 1961–2000. The first part of the study focused on testing and comparing model accuracy levels at each station using local input combinations. The results indicate that the fuzzy genetic (FG) model generally produces better results than adaptive neuro‐fuzzy inference systems with grid partition (ANFIS‐GP) and M5 model tree (M5Tree) specifications in terms of the root mean square error , mean absolute error and coefficient of determination values. The performance of the above models was also examined using cross‐station applications (estimating Ep without local input or output data) in the second part of the study. The third part focused on estimating Ep using generalized FG, ANFIS‐GP and M5Tree models. Collectively, the results demonstrate that the FG model can be successfully used to estimate Ep without any local inputs and outputs and that a single generalized FG model can also be used at six different locations.
Ozone Hole Area Prediction at Earth's North and South Poles by Marvel Interface

This paper explores the possibility of predicting ozone hole area (Maximum Area) at North and South Pole usingArtificial Neural Network (ANN) and then developing the forecasting network by using Graphical User Interface (GUI)named MARVEL. Two models are designed for predictions: a) Ozone hole area prediction at North Pole and b)Ozone hole area prediction at South Pole. For both the models, the number of input parameters is taken as year,month, date, sunspot area, sunspot number and solar mean magnetic field. Here, more than 35 years of data isused for training purpose and then predictions are made from November 23, 2015 to September 30, 2016.Forecasting network (MARVEL) is developed to imbibe the properties of ANN. It can get trained with the most recentdata accessible to the user and then making future predictions for short (one day) and long term (months, years)durations, respectively. From the results, Mean Square Error (MSE) for Model 1 and Model 2 is found to be 6.7166DU and 0.3582 DU, respectively. It can be concluded that with 30 numbers of neurons and input and output transferfunctions as Tangent Sigmoid and pure linear, along with one hidden layer, the forecasting network predictions areplausible and appreciably close to actual observed values. It is to be noted that the change of ozone hole area atpoles have dynamic reasons behind it and sun parameters are not responsible for that. This paper is an attempt topresent the application of Artificial Neural Network of connecting the unrelated parameters and processe
The Preparation and Properties of Ti(Nb)-Si-C Coating on the Pre-Oxidized Ferritic Stainless Steel for Solid Oxide Fuel Cell Interconnect

Cr2O3 scale growth and volatilization are the main cause of the performance degradation of solid oxide fuel cells (SOFCs) with an Fe-based ferritic stainless steel (FSS) interconnect. In this work, an amorphous Ti(Nb)-Si-C coating is prepared on the pre-oxidized SUS430 with D.C. magnetron sputtering as the protective coating. The amorphous Ti(Nb)-Si-C coated alloy exhibits significantly enhanced oxidation resistance, and the oxidation kinetics obey the parabolic law with a low parabolic rate of 9.36 × 10−15 g2·cm−4·s−1. A dual-layer oxide scale is formed composed of an inner layer rich in Cr2O3 and an outer layer rich in rutile TiO2 and amorphous SiO2. MnCr2O4 appears at the interface between the inner and outer oxide layers. Meanwhile, the amorphous Ti(Nb)-Si-C coating also effectively blocks the outward diffusion of Cr. In addition, the coated steel presents good electrical properties with an area-specific resistance (ASR) of 13.57 mΩ·cm2 at 800 °C after oxidation at 800 °C in air for 500 h.
The Association between Women’s History of Sexual Abuse, Mental Health, and Sexual Motivations in Committed Intimate Relationships

In committed intimate relationships, motivations for engaging in or avoiding sexual relations can indicate partners’ perceptions, needs, and attitudes toward sexual intimacy, and reflect sexual functioning. Sexual motivations can be positive, reflecting and advancing relational goals, such as establishing and maintaining closeness between partners and pleasure, or negative, stemming out of fear of one’s partner, pleasing them, or depriving sexual contact to punish the partner or establish relational power. In this study, we extended the current conceptualization and assessment of negative sexual motivations to explore the associations between women’s history of sexual abuse, their mental health, and their negative sexual motivations. Structural equation modeling results from 236 adult Israeli women who were in committed intimate relationships indicated that a woman’s history of sexual abuse negatively predicted her mental health which, in turn, negatively predicted her negative sexual motivations. Mental health mediated the association between a woman’s history of sexual abuse and her negative sexual motivations. These findings have theoretical and empirical contributions to research in terms of the short- and long-term effects of sexual abuse on women, mental health, and women’s sexuality. Their clinical implications for mental health professionals, sexual therapists, and clinicians working with women who experience sexual abuse are also discussed.
A segmentation network for farmland ridge based on encoder-decoder architecture in combined with strip pooling module and ASPP

In order to effectively support wheat breeding, farmland ridge segmentation can be used to visualize the size and spacing of a wheat field. At the same time, accurate ridge information collecting can deliver useful data support for farmland management. However, in the farming ridge segmentation scenarios based on remote sensing photos, the commonly used semantic segmentation methods tend to overlook the ridge edges and ridge strip features, which impair the segmentation effect. In order to efficiently collect ridge information, this paper proposes a segmentation method based on encoder-decoder of network with strip pooling module and ASPP module. First, in order to extract context information for multi-scale features, ASPP module are integrated in the deepest feature map. Second, the remote dependence of the ridge features is improved in both horizontal and vertical directions by using the strip pooling module. The final segmentation map is generated by fusing the boundary features and semantic features using an encoder and decoder architecture. As a result, the accuracy of the proposed method in the validation set is 98.0% and mIoU is 94.6%. The results of the experiments demonstrate that the method suggested in this paper can precisely segment the ridge information, as well as its value in obtaining data on the distribution of farmland and its potential for practical application.
Surveying Geology Concepts In Education Standards For A Rapidly Changing Global Context

Internationally much attention is being paid to which of a seemingly endless list of scientific concepts should be taught to schoolchildren to enable them to best participate in the global economy of the 21 st Century. In regards to science education, the concepts framing the subject of geology holds exalted status as core scientific principles in the Earth and space sciences domain across the globe. Economic geology plays a critical role in the global economy, historical geology guides research into predictions related by global climate change, and environmental geology helps policy makers understand the impact of human enterprises on the land, among many other geological sciences-laden domains. Such a situation begs the question of which geology concepts are being advocated in schools. Within the U.S. where there is no nationally adopted curriculum, careful comparative analysis reveals surprisingly little consensus among policy makers and education reform advocates about which geology concepts, if any, should be included in the curriculum. This lack of consensus manifests itself in few traditional or modern geology concepts being taught to U.S. school children.
LLC Converter With Hold-Up Time Compensation Using Partial Power Process With Semiactive Bridge Rectifier

This article proposes an LLC converter using a semiactive bridge partial power processing (P3) circuit capable of hold-up time compensation. In a nominal state, the P3 circuit provides a small amount of the output power, reducing the power rating of the main LLC converter. During the hold-up time, the P3 circuit provides a boosting gain with pulsewidth modulation (PWM). By utilizing a semiactive bridge rectifier, the proposed P3 circuit does not require an additional converter, which is commonly utilized in most P3 concepts, while providing both partial power and boosting gain. Furthermore, the proposed concept suppresses the peak of the resonant current in PWM-controlled resonant converters. The prototype converter with 400–300 V input and 50 V/500 W output is built to verify its effectiveness.
Chapter 3 Mapping Climate and Disaster Resilience in Cities

In this chapter the objective is to link the causes (risks) with the need of disaster resilient entities (urban areas) in an era in which the climate is changing and natural hazards are likely to occur more frequently and more severely (Intergovernmental Panel on Climate Change (IPCC), 2007). The previous chapters defined what a resilient city is and how it can be understood, but another question may arise subsequently: how to measure a disaster resilient city? This is what this chapter is about: to develop a tool that is capable of adequately addressing the vulnerable parts of a city's functional system, and additionally, its responsive capacity to cope with a potential disaster. This tool – named Climate Disaster Resilience Index, which is only the process of measurement, or Climate Disaster Resilience Initiative (CDRI), which encompasses all aspects of this approach – shall demonstrate how different functionalities of a city can be assessed in a comprehensive single attempt. Accordingly, the CDRI is more than just a tool to measure the condition of a city at a certain point of time; it also has the wider ambition to lead communities and local governments onto a path of sustainable development that ought to increase the overall resilience level of their city to climate-related disasters. As a result, the CDRI tool shall serve as an urban planning tool depicting the sectors within an urban context that are more or less resilient.
Jumping Rover Mechanism Considering Surface Properties of Celestial Body

Jumping rover is attracting interest as a new mobility method on the celestial body. The jumping rover can move the large variety area of terrain. However, it is difficult to adapt the design to the surface characteristics such as regolith, small gravity and the other special environment. This research analyzes the relationship between the mechanism of jumping rover and characteristics of the surface of the celestial body. 天体表面特性を考慮した探査ロボットの跳躍機構に関する検討
SOCIAL DIMENSIONS OF MORTUARY PRACTICES IN A MESOLITHIC POPULATION FROM WADI HALFA, SUDAN

Assuming an individual's treatment at death is a reflection of the position occupied in a status system in life, and that differences between individual interments reflect the type of status system participated in (e.g., egalitarian versus ranked), the outlines of extinct status systems should be ascertainable. This paper will present the results of such an attempt using data collected from the mesolithic occupation and burial site of Wadi Haifa, northern Sudan. These data include age, sex, pathology, treatment of the body, and mode of interment. The evidence argues for an egalitarian status system with differences in disposal associated with differences in age, sex, and personal achievement. Differences in mortality rates are examined in light of constraints placed on hunting and gathering societies. There is also evidence of post-marital residence favoring the husband's agnates.
L'algorithme SEM: un algorithme d'apprentissage probabiliste: pour la reconnaissance de mélange de densités

On presente l'algorithme SEM (Stochastique, Estimation, Maximisation) qui a pour but de determiner les composants d'un melange fini de lois de probabilite, ainsi que le nombre lui-meme de ces composants, par une approche d'apprentissage probabiliste