Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-UAV Collaborative Search and A�ack Mission Decision-Making in Unknown Environments

: To address the challenge of coordinated combat involving multiple UAVs in reconnais-sance and search a�acks, we propose the Multi-UAV Distributed Self-Organizing Cooperative Intelligence Surveillance and Combat (CISCS) strategy. This strategy employs distributed control to overcome issues associated with centralized control and communication diﬃculties. Additionally, it introduces a time-constrained formation controller to address the problem of unstable multi-UAV formations and lengthy formation times. Furthermore, a multi-task allocation algorithm is designed to tackle the issue of allocating multiple tasks to individual UAVs, enabling autonomous decision-making at the local level. The distributed self-organized multi-UAV cooperative reconnaissance and combat strategy consists of three main components. Firstly, a multi-UAV ﬁnite time formation controller allows for the rapid formation of a mission-speciﬁc formation in a ﬁnite period. Secondly, a multi-task goal assignment module generates a task sequence for each UAV, utilizing an improved distributed Ant Colony Optimization (ACO) algorithm based on Q-Learning. This module also incorporates a colony disorientation strategy to expand the search range and a search transition strategy to prevent premature convergence of the algorithm. Lastly, a UAV obstacle avoidance module considers internal collisions and provides real-time obstacle avoidance paths for multiple UAVs. In the ﬁrst part, we propose a formation algorithm in ﬁnite time to enable the quick formation of multiple UAVs in a three-dimensional space. In the second part, an improved distributed ACO algo-rithm based on Q-Learning is introduced for task allocation and generation of task sequences. This module includes a colony disorientation strategy to expand the search range and a search transition strategy to avoid premature convergence. In the third part, a multi-task target assignment module is presented to generate task sequences for each UAV, considering internal collisions. This module provides real-time obstacle avoidance paths for multiple UAVs, preventing premature convergence of the algorithm. Finally, we verify the practicality and reliability of the strategy through simulations.
Development study on Jatropha curcas (sabu-dum) oil as a substitute for diesel engine oil in Thailand

Jatropha curcas, popularly called sabu-dum in Thailand, is a small tree which will grow in semi-arid areas and produces an oil-bearing seed. In addition, it grows quickly and is easily propagated. In the study reported here, Jatropha curcas oil was tested as a substitute for diesel oil in a diesel engine test run and a diesel truck drive test. Previous research is also reviewed and areas for future research outlined.
LiDAR Point Cloud and Stereo Image Point Cloud Fusion

Abstract : The advent of Light Detection and Ranging (LiDAR) point cloud collection has significantly improved the ability to model the world in precise, fine, three-dimensional details. The objective of this research was to demonstrate accurate, foundation methods for fusing LiDAR data and photogrammetric imagery and their potential for change detection. The scope of the project was to investigate optical image to LiDAR registration methods, focusing on several dissimilar image types including Optical Bar Camera (OBC), high resolution aerial frame, and WorldView 1 satellite with varying LiDAR point densities. An innovative optical image to LiDAR data registration process was established. This approach was demonstrated for one image type using the rational polynomial coefficients (RPC) representation of the panoramic math model improving accuracy from 1.9 m to 0.5 m root mean square (RMS) error. Comparison of stereo imagery point cloud data to the LiDAR point cloud using a 90% confidence interval highlighted changes that included small scale ( 50cm), sensor dependent change and large scale, new home construction change. This research also proposed a fused LiDAR and stereo image base layer as the foundation for further LiDAR/image fusion.
Space subdivision for indoor applications

This report makes an overview of 2D, 2,5D and 3D approaches for indoor space subdivision for the purpose of indoor navigation. The report starts with a conceptual framework for indoor space utilisation. We introduce and elaborate on the concepts of indoor space (navigable and non-navigable), agent, activity, resource and modifier. Using these concepts, we investigate navigation cases and discuss information requirements for space subdivision. Two sections make review of 2D and 3D research for sub-spacing. We classify 2D and 3D approached in three groups with respect to the subdivision (partial or complete) and the type of navigation (grid or graph), and provide analysis of the approaches against the user requirements for indoor navigation. Section 6 concludes on challenges and future developments. This research was supported by a grant (11 High-tech G11) from Architecture & Urban Development Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.
Will exercise advice be sufficient for treatment of young adults with pre-hypertension and hypertension? A systematic meta-analysis.

—Previous studies report benefits of exercise for blood pressure control in middle age and older adults, but longer-term effectiveness in younger adults is not well established. We performed a systematic review and meta-analysis of published randomized control trials with meta-regression of potential effect modifiers. An information specialist completed a comprehensive search of available data sources, including studies published up to June 2015. Authors applied strict inclusion and exclusion criteria to screen 9524 titles. Eligible studies recruited younger adults with a cardiovascular risk factor (with at least 25% of cohort aged 18–40 years); the intervention had a defined physical activity strategy and reported blood pressure as primary or secondary outcome. Meta-analysis included 14 studies randomizing 3614 participants, mean age 42.2±6.3 (SD) years. At 3 to 6 months, exercise was associated with a reduction in systolic blood pressure of −4.40 mm Hg (95% confidence interval, −5.78 to −3.01) and in diastolic blood pressure of −4.17 mm Hg (95% confidence interval, −5.42 to −2.93). Intervention effect was not significantly influenced by baseline blood pressure, body weight, or subsequent weight loss. Observed intervention effect was lost after 12 months of follow-up with no reported benefit over control, mean difference in systolic blood pressure −1.02 mm Hg (95% confidence interval, −2.34 to 0.29), and in diastolic blood pressure −0.91 mm Hg (95% confidence interval, −1.85 to 0.02). Current exercise guidance provided to reduce blood pressure in younger adults is unlikely to benefit long-term cardiovascular risk. There is need for continued research to improve age-specific strategies and recommendations for hypertension prevention and management in young adults. ( Hypertension . 2016;68:78-87. DOI: 10.1161/HYPERTENSIONAHA.116.07431.)
Data Generation and Latent Space Based Feature Transfer Using ED-VAEGAN, an Improved Encoder and Decoder Loss VAEGAN Network

TocombinetheadvantagesofVAEsandGANstogeneratebothdiverse and high-quality samples, this paper proposes ED-VAEGAN which improves encoderanddecoderlossoftraditionalfeature-wiseVAEGAN[4]. Moreprecisely, areconstructionscoretermisaddedtoencoderlossfunction,whichaccelerates thetrainingofthewholemodel.Thedecoderlosswassimilartotraditionaldef-inition,butdiscardedanirrelevanttermtodecoder.Thispaperappliedthisnew modeltofacedatasetsandcomparesthegenerationswithothermodelswhenthe modelsarefullytrainedandwhentrainedforthesameiterations.Andthelatent spaceexpeditionwasdonebyﬁrstencodetheimagesandthendothelatentcode walkbetweentwoimages.Asaresult,ED-VAEGANoutperformedtraditional VAEGANontrainingspeed,anditslatentspaceexpeditionresultindicatesbetter continuitycomparingtootherpixel-wisemodels.Intheend,thispaperapplied simpledataaugmentationmethodtosolvethebrightnessproblemthathappened whentrainingiterationsincrease.
Technological strategies for the preparation of lipid nanoparticles: an updated review

The concept of improving drug biopharmaceutical properties by proper selection of delivery system should begin with a rational choice of relevant dosage form, followed by the precise assessment of physicochemical compatibility between the drug delivery sys-tem (DDS) and the active pharmaceutical ingredient (API). Afterwards, according to laboratory availabilities, an efficient production method should be selected and, if possible, to take into account the opportunity for lab-upscale and prevailed industry research needs. Amid the vast diversity of nanostructured drug delivery carriers, lipid nanoparticles (LNs) stand out with their undeniable advantages like exceptive biocompatibility and multiplicity, and their importance as “green” derivatives for biochemical processes. Their distinctive structural properties also allow adequate protection of loaded APIs against chemical degradation in an aggressive biological environment and provide excellent resiliency in modifying drug release profiles. This review highlights different findings reported by the researchers worldwide over the years and focuses on the various production strategies and techniques for the preparation of LNs.
Determinants of Activity Phenotype in Patients with Chronic Obstructive Pulmonary Disease

Introduction Physical activity (PA) and sedentary behavior (SB) have attracted attention in chronic obstructive pulmonary disease (COPD), and there have been efforts to evaluate PA and SB separately. The factors associated with the characteristics of the four activity phenotypes defined by the durations of PA and SB are largely unknown. The aim of this study was to clarify the factors that could differentiate each activity phenotype. Materials and Methods Study subjects were outpatients with stable COPD who were ≥40 years of age. We investigated the influence of 26 different factors on the activity phenotypes of COPD and extracted the factors that showed significant differences among the four activity phenotypes. Results Two hundred sixteen patients were included in the analysis. Exercise capacity and dyspnea were determinants that distinguished the low PA groups from the high PA groups. The pulmonary function and desaturation during exercise were factors that distinguished the high PA with low SB group from the low PA with high SB group. BMI, grip strength, upper arm circumference and HbA1c were higher in the low PA and low SB group than in the low PA and high SB group. Conclusion These factors could be the determinants discriminating activity phenotypes of patients with COPD.
Economic Damages from Climate Change: A Review of Modeling Approaches

This report elucidates one aspect of economic IAMs: the damage function. Damage functions map environmental changes (primarily mean temperature increases) to economic impacts. This crucial step in the determination of SCC appears in very different form in the leading economic IAMs. Through sections 3, 4, and 5 we review, in turn, the damage functions of the Dynamic Integrated Model of Climate and the Economy (DICE), the Framework for Uncertainty, Negotiation and Distribution (FUND) and the Policy Analysis of the Greenhouse Effect (PAGE). Section 6 discusses some empirical, programmatic and conceptual limitations of these three IAMs. Section 7 concludes. We begin, however, by providing a brief elaboration on integrated assessment modelling practices used by the IPCC. Readers familiar with IAMs and the IPCC's recent work may wish to skip this review.
Real Time Biometric Authentication System Using ECG

Reliable identity verification and authentication processes are now crucial and urgent duties for protecting the integrity of the devices and sensitive data. Passwords have shown some of their flaws, despite the fact that they have offered access control and authentication. Biometrics are the best authentication method due to their speed and convenience, and they have a low chance of being hacked. Electrocardiogram (ECG) has garnered the most interest from the biometrics field in order to get over the limitations of the traditional biometric systems because to its highly personalised character, ubiquity, and difficulty in forging them. The absence of substantial ECG databases, however, poses one of the biggest problems for the development of biometrics based on ECG. The person's capacity for authentication is strengthened by this study. There was much discussion about the investigation of filtering type, segmentation, feature extraction, and classifier usage. The six best P-QRS-T fragments are then extracted based on priority, and their positions are normalised using non-fiducial symlets and non-fiducial daubechies. This efficient feature extraction approach for ECG is then created. The proposed approach is then tested using the demanding, accessible MIT-BIH data base. The KNN classifier is compared using performance parameters, and the results show that, when compared to earlier literature, KNN classifiers offer an overall classification accuracy of 99.2%.
Turbulent Collapse and Recovery in the Stable Boundary Layer Using an Idealized Model of Pressure-Driven Flow with a Surface Energy Budget

The evolution of the stable boundary layer is simulated using an idealized single-column model of pressure-driven flow coupled to a surface energy budget. Several commonly used parameterizations of turbulence are examined. The agreement between the simulated wind and temperature profiles and tower observations from the Cabauw tower is generally good given the simplicity of the model. The collapse and recovery of turbulence is explored in the presence of a large-scale pressure gradient, but excluding transient submesoscale atmospheric forcings such as internal waves and density-driven currents. The sensitivity tests presented here clarify the role of both rotation and the surface energy budget in the collapse and recovery of turbulence for the pressure-driven dry stable boundary layer (SBL). Conditions of stability are affected strongly by the geostrophic winds, the cloud cover, and the thermal conductivity of the surface. Inertial oscillations and the subsurface temperature have a weaker influence. Particularly noteworthy is the relationship between SBL regime and the relative importance of the terms in the surface energy budget.
Financial inclusion and poverty alleviation: Does it work? (Studies in lower-middle-income countries)

A stable financial system can build a country's economy. Financial inclusion is one of the strategies undertaken to improve the economy and alleviate poverty. Poverty is a troubling problem for every country. Both developing and developed countries face poverty. Therefore, poverty must be eradicated immediately. This study analyzes financial inclusion in poverty alleviation in five lower-middle-income countries (Indonesia, Myanmar, Laos, Pakistan, and Bangladesh). The variables used in this study are the number of credit accounts, the number of savings accounts, the number of debits, the number of bank branch offices, and economic growth. This research uses secondary data or time series from 2010-2020. The method used in this study is the ARDL Panel method. The panel shows that countries with leading indicators for poverty alleviation are Indonesia, Myanmar, and Pakistan. Meanwhile, the leading indicators variables are the number of creditors, the amount of savings, and the number of debits in the five lower-middle-income countries.
Restoring Women’s History through Historic Preservation

Contents: Acknowledgments CHAPTER ONE Restoring Women's History through Historic Preservation: Recent Developments in Scholarship and Public Historical Practice Gail Lee DubrowPART I Documenting the History of Women in PreservationCHAPTER 2 Women in the Nineteenth-Century Preservation Movement Barbara J. HoweCHAPTER 3 Special Places Saved: The Role of Women in Preserving Shaun EyringCHAPTER 4 Four African American Women on the National Landscape Faith Davis RuffinsPART II Revisiting Women's Lives at Historic Houses and MuseumsCHAPTER 5 Uncovering and Interpreting Women's History at Historic House Museums Patricia WestCHAPTER 6 Domestic Work Portrayed: Philadelphia's Restored Bishop William White House-A Case Study Karie Diethorn with John BaconCHAPTER 7 Putting Women in Their Place: Methods and Sources for Including Women's History in Museums and Historic Sites Edith MayoPART III Claiming New Space for Women in the Built Environment and Cultural LandscapeCHAPTER 8 Rooms of Their Own: The Nurse's Residences at Montreal's Royal Victoria Hospital Annmarie AdamsCHAPTER 9 On the Inside: Preserving Women's History in American Libraries Abigal A. Van SlyckCHAPTER 10 Women in the Southern West Virginia Coalfields Susan M. PierceCHAPTER 11 "A Night with Venus, a Moon with Mercury": The Archaeology of Prostitution in Historical Los Angeles Julia G. CostelloPART IV Exemplary ProjectsCHAPTER 12 The Power of Place Project: Claiming Women's History in the Urban Landscape Dolores HaydenCHAPTER 13 Best Practices for Saving Women's Heritage Sites: Nonprofit Case Studies Jennifer B. GoodmanCHAPTER 14 "It's a Wide Community Indeed": Alliances and Issues in Creating Women's Rights National Historical Park, Seneca Falls. New York Judith WellmanCHAPTER 15 "Raising Our Sites": A Pilot Project for Integrating Women's History into Museums Kim MoonCHAPTER 16 Finding Her Place: Integrating Women's History into Historic Preservation in Georgia Leslie N. SharpCHAPTER 17 Blazing Trails with Pink Triangles and Rainbow Flogs: Improving the Preservation and Interpretation of Gay and Lesbian Heritage Gail Lee DubrowPART V Toward and Inclusive Agenda for Preservation Policy and PracticeCHAPTER 18 Searching for Women in the National Regier of Historical Places Carol D. ShullCHAPTER 19 Reflections on Federal Policy and Its Impact on Understanding Women's Past at Historical Sites Page Putnam MillerCHAPTER 20 Parks Canada and Women's History Alan B. McCulloughAFTERWORD Proceeding from Here Heather A. HuyckAppendix A: Participants in the Pilot of "Raising Our Sites: Women's History in Pennsylvania"Appendix B: Women, Women's Organizations, and Buildings Related to Women Which Have Been Commemorated by the Canadian Minister Responsible for National Historical Sites Notes List of Contributors Index
A Credit Card Default Prediction Method Based on CatBoost

This paper presents a study on the prediction of credit card user default using the CatBoost model. The dataset used in this study is a credit card dataset from a ﬁnancial institution. The dataset contains information about the credit card users such as their age, gender, credit limit, and payment history. The CatBoost model was used to predict the probability of default for each user. The results showed that the CatBoost model was able to accurately predict the probability of default for credit card users. And in the experiment, I found that the prediction effect of CatBoost model is better than that of XGBoost, Lasso, and LightGBM. The results of this study can be used to help ﬁnancial institutions better manage their credit card portfolios and reduce the risk of default.
UvA-DARE ( Digital Academic Repository ) Overexpression of Mineralocorticoid Receptors Partially Prevents Chronic Stress-Induced Reductions in Hippocampal Memory and Structural Plasticity

Exposure to chronic stress is a risk factor for cognitive decline and psychopathology in genetically predisposed individuals. Preliminary evidence in humans suggests that mineralocorticoid receptors (MRs) may confer resilience to these stress-related changes. We specifically tested this idea using a well-controlled mouse model for chronic stress in combination with transgenic MR overexpression in the forebrain. Exposure to unpredictable stressors for 21 days in adulthood reduced learning and memory formation in a low arousing hippocampus-dependent contextual learning task, but enhanced stressful contextual fear learning. We found support for a moderating effect of MR background on chronic stress only for contextual memory formation under low arousing conditions. In an attempt to understand potentially contributing factors, we studied structural plasticity. Chronic stress altered dendritic morphology in the hippocampal CA3 area and reduced the total number of doublecortin-positive immature neurons in the infrapyramidal blade of the dentate gyrus. The latter reduction was absent in MR overexpressing mice. We therefore provide partial support for the idea that overexpression of MRs may confer resilience to the effects of chronic stress on hippocampus-dependent function and structural plasticity.
Privacy-Preserving Distributed Beamformer Design Techniques for Correlated Parameter Estimation

Privacy-preserving distributed beamforming designs are conceived for temporally correlated vector parameter estimation in an orthogonal frequency division multiplexing (OFDM)-based wireless sensor network (WSN). The temporal correlation inherent in the parameter vector is exploited by the rate distortion theory-based bit allocation framework used for the optimal quantization of the sensor measurements. The proposed distributed beamforming designs are derived via fusion of the dual consensus alternating direction method of multiplier (DC-ADMM) technique with a pertinent privacy-preserving framework. This makes it possible for each sensor node (SN) to design its transmit precoders in a distributed fashion, which minimizes the susceptibility of vital information to malicious eavesdropper (Ev) nodes, while simultaneously avoiding the significant communication overhead required by a centralized approach for the transmission of the state information to the fusion center (FC). The Bayesian Cramer–Rao bound (BCRB) is derived for benchmarking the estimation performance of the proposed transmit beamformer and receiver combiner designs, while our simulation results illustrate the performance and explicitly demonstrate the trade-off between the privacy and estimation performance.
Barrier-Critic Adaptive Robust Control of Nonzero-Sum Differential Games for Uncertain Nonlinear Systems With State Constraints

In this article, for the nonzero-sum (NZS) differential games problem of uncertain nonlinear systems with state constraints, an adaptive robust stabilization scheme based on the control barrier function (CBF) is presented under the influence of random disturbances and control input matrix uncertainty. To deal with the impact of uncertainty on the system, the nominal system of the original system is adopted and the cost functions associated with each player are appropriately chosen to convert the robust regulation problem of multiplayer differential games into an optimal regulation problem. Furthermore, the purpose of combining the cost function relevant to each player with the CBF is to make the system states evolve in the safe area. Different from the classical actor–critic dual neural network (NN), each player only needs a critic NN to approach the corresponding cost function without the restriction of the initial stabilizing control. Combined with the Lyapunov stability theory, under the combined influence of random disturbances and state constraints, the state and critic NN weights of the closed-loop system are guaranteed to be uniformly ultimately bounded (UUB). Finally, two simulation examples are used to verify the validity of the presented scheme.