Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectral observation and classification of typical tree species leaves based on indoor hyperspectral lidar

Hyperspectral laser radar combines the characteristics of LiDAR and hyperspectral informa‐ tion,and provides more accurate remote sensing detection methods of the extraction of vegetation physiological and biochemical parameters,but its application potential has not been fully explored. In 文章编号:1001-9014(2020)03-0372-09 DOI:10. 11972/j. issn. 1001-9014. 2020. 03. 016 收稿日期:2020⁃ 02⁃ 19,修回日期:2020⁃ 03⁃ 19 Received date:2020⁃ 02⁃ 19,Revised date:2020⁃ 03⁃ 19 基金项目:国家重点研发计划项目(2017YFC0504003-4);国家自然科学基金(41571332) Foundation items:Supported by National key research and development project(2017YFC0504003-4);the National Natural Science Foundation of China(41571332) 作者简介(Biography):胡佩纶(1995-),男,江西宜春人,硕士研究生,主要研究领域为:植被定量遥感 . Email:hupeilun_818@163. com。 *通讯作者(Corresponding author):Email:huaguo_huang@bjfu. edu. cn 3期 胡佩纶 等:基于室内高光谱激光雷达的典型树种叶片光谱观测和分类 this paper,the leaves of 10 typical tree species in Beijing are taken as samples to carry out the leaf ob‐ servation experiment of indoor hyperspectral laser radar. And the tree species classification research is carried out to provide the basis of the future forestry application of hyperspectral laser radar. In this study,the hyperspectral data of tunable hyperspectral LiDAR(HSL)was carried out and compared with the data measured by ASD spectrometer. Secondly,10 kinds of leaves were classified by random forest method. In the process,the total spectral index is obtained by combining all the bands and some sensitive bands with the spectral index. The results show that:(a)HSL is consistent with ASD spectra observed in the band 650~1 000 nm(71 channels)(R=0. 9525~0. 993 2,RMSE=0. 058 7);(b)The classification accuracy of the original band reflectivity is 78. 31%,there into the maximum contribu‐ tion rate of the classification band is 650~750 nm,and the classification accuracy is 94. 18% using this band which shows that it is very effective in classify tree species by using red edge band(650~750 nm);(c)the bands sensitive to tree species classification are 680 nm,685 nm,690 nm,715 nm,720 nm,725 nm,730 nm;(d)When we combine the spectral index and vegetation index,the classifica‐ tion accuracy is 82. 65%. This study shows that at the single leaf level,hyperspectral LiDAR can accu‐ rately reflect the spectral characteristics of the target leaves and classify the species of different trees ef‐ fectively. It is possible to extract physiological and biochemical parameters of targets for the future field applications accurately.
Video Game Automated Testing Approaches: An Assessment Framework

The video-game industry has recently grown from focused markets to mainstream. The advancements the industry has been enjoying motivated researchers to propose techniques and tools to support the activities across the different phases of the game development lifecycle. Game testing is one of the crucial activities within the game development process. Due to the nature of game testing, many automated game testing techniques have been proposed in the literature. However, there is no framework that could be used to aid practitioners in selecting appropriate techniques suitable for their particular development efforts. In this article, we present an attribute-based framework to classify and compare these techniques and provide such aid to practitioners. The framework is also meant to guide researchers interested in proposing new game testing techniques. The article discusses a number of prominent techniques against the framework. Analysis of the discussion reveals gaps and suggests open points for future research.
Ontology-based Course Teacher Assignment within Universities

Educational institutions suffer from the enormous amount of data that keeps growing continuously. These data are usually scattered and unorganised, and it comes from different resources with different formats. Besides, modernization vision within these institutions aims to reduce human action and replace it with automatic devices interactions. To have the full benefit from these data and use it within the modern systems, they have to be readable and understandable by machines. Those data and knowledge with semantic descriptions make an easy way to monitor and manage decision processes within universities to solve many educational challenges. In this study, an educational ontology is developed to model the semantic courses and academic profiles in universities and use it to solve the challenge of assigning the most appropriate academic teacher to teach a specific course.
The current status of and measures against maternal suicide in Japan

Rapid progress in perinatal care in recent decades has led to a dramatic decline in perinatal, neonatal, and maternal mortality (excluding suicides), and achieved remarkable improvements in obstetrical outcomes in Japan. However, while maternal mortality had been on a continuous and steady decline up until 2007 (3.1/100,000 total births), the rate has been fluctuating since then (e.g., 2.7/100,000 in 2014, 3.4/100,000 in 2016). This is likely attributed to a variety of factors that have emerged in the past 20 years due to changes in the environment and social situation surrounding women, such as later marriage and rise in maternal age. In Western countries, “late maternal deaths” occurring between 42 days and one year after delivery are considered to be just as important as “maternal deaths,” i.e., deaths during pregnancy or within 42 days of termination of pregnancy. In particular, suicides attributable to psychiatric disorders have become a serious issue among women less than one year postpartum. However, in Japan, the actual number of deaths by suicide is unknown, since neither death certificates nor postmortem certificates include information on pregnancy and delivery. Despite the fact that the total number of suicide deaths in Japan is known, whether such deaths are associated with perinatal mental issues or not is unclear, and thus, no measures have been taken. Untreated perinatal depression and psychiatric disorders not only cause issues such as suicide, but are also related to pediatric developmental and mental disorders, neglect, and/or child abuse due to impaired nurturing ability. Suicide rates among pregnant and parturient women in Osaka, Tokyo, and Mie are much higher than those of the UK, the US, and Sweden. There is an urgent need to establish a regional support system that facilitates interactions among the obstetrical, pediatric, psychiatric field, and local administrations for monitoring and supporting mothers and infants, as well as a system that allows families, schools, and society to support young people, in order to realize improved preconception health care.
Teachers' Perception of Mental Health in the School System

The study examined teachers' perceptions oftheir school's mental health system. Specifically, teachers were asked about their role in the identification iii process, how effective their school's system is at identifying and treating mental health problems, and their suggestions for improvement. Mental health problems affect a significant portion oftoday's youth (Merikangas eta! ., 20 I 0). Mental health problems can negatively impact an adolescent's academic achievement, social relationships, and behavioral functioning (Woodward & Fergusson, 2001 ). Six teachers from a southeastern, rural Illinois high school participated in the study. Each teacher participated in a single interview and discussed their perceptions ofthe school's mental health system. Results indicated that teachers generally believed they were the first identifiers of mental health problems, will refer students to the counselor, feel somewhat prepared, believe their relationship strongly impacts students, would like more training in mental health, want to be invested in training but may hesitate due to a lack oftime, would like professional development units for attending trainings, and want trainings to be meaningful. TEACHERS' PERCEPTION OF MENTAL HEALTH IN THE iv TABLE OF CONTENTS
Effects of alternative feedstuffs on growth performance, carcass characteristics, and meat quality of growing Awassi lambs

Abstract Twenty-seven Awassi lambs were used to evaluate the effects of dietary inclusion of selected (dry bread, carob pods, olive cake, and sesame meal) alternative feedstuffs (AF) on performance, carcass characteristics, and meat quality. Lambs were assigned to one of three treatment diets. Diets contained (g/kg on DM basis) no (0AF; n = 9), 250 (25AF; n = 9), or 500 (50AF; n = 9) of AF, respectively. Lambs fed the 50AF diet had the least (p < .05) intake of DM, OM, NDF, and ME. Crude protein digestibility was lowest (p < .01) in lambs fed the 50AF diet. The digestibility of NDF and ADF was highest (p < .01) for the 0AF diet. Hot and cold carcass weights tended to be greater (p ≤ .10) for lambs fed with the 0AF than the 50AF diet. Dressing percentage tended to be lower (p = .07) in lambs fed with the 50AF compared to the 0AF and 25AF diets. No substantial differences were observed among dietary treatments in carcass and non-carcass cut weights. Composition (muscle, fat, and bone) of dissected legs were not different (p ≥ .10) among dietary treatments. No substantial differences (p ≥ .37) were observed among dietary treatments in all meat quality parameters except for higher redness of the 0AF diet. Dietary inclusion of AF at 250 or 500 g/kg decreased production cost with similar feed conversion ratio. However, at high level (500 g/kg) AF could negatively affect nutrients intake, digestibility, and performance. Highlights Replacing conventional feedstuffs from lamb diets with two levels (250 or 500 g/kg) of alternative feedstuffs reduced production cost without causing any health problems to lambs.
Thermo-Optic Beam Scanner Employing Silicon Photonic Crystal Slow-Light Waveguides

Optical beam scanning is a widely utilized function in optical systems and a compact nonmechanical solid-state device has long been anticipated. Here, we have studied such a device consisting of photonic crystal slow-light waveguides and switch trees, fabricated by a Si photonics process, employing a bespoke prism lens for beam collimation. Further in this study, we particularly demonstrated the operation of the device only by the thermo-optic (TO) tuning of its components, at a fixed wavelength of light. A spot beam of ∼0.1° divergence, was scanned in two dimensions, in the angular range of 40° × 8.8° and average power consumption of < 0.7 W. Neglecting some disordered beams caused by the non-uniformity of the fabricated device, the estimated number of resolution points was 400 × 32 = 12,800, which required a significant effort in the device fabrication and calibration, utilizing optical-phased arrays, if the same performance was targeted.
Exploring Knowledge Sharing in Sea-Land Logistics Networks: Lessons from the Port of Genoa

The purpose of this article is to analyze the impact of information technology (IT) solutions on the knowledge sharing process within the sea-land logistics network. To tackle the research aim, we illustrate the case of the Port of Genoa, the most important in Italy, the first to adopt a port community system to coordinate logistical processes. Our findings indicate how the IT platform, called E-port, improves interconnections within the system by creating a virtual network that facilitates data exchange among actors. Recent studies investigate ports as a simple logistics supply chain and not as a business network. This paper fills this gap by adopting an actor’s network perspective interconnected by an IT infrastructure that acts as a knowledge orchestrator in the business network.JEL Codes: M11, M15, O33
Comprehensive Sensitivity Analysis and Multiphysics Optimization of the Rotor for a High Speed Permanent Magnet Machine

To improve the reliability of high speed permanent magnet machines (HSPMMs) under multiphysics constraints, including the electromagnetic properties, losses, rotor stress, rotor dynamics, and temperature, the rotor of an HSPMM is optimized to achieve low loss and temperature in this paper. To assess the impact of each rotor design parameter on multiphysics performance, a comprehensive sensitivity analysis of the rotor parameters on multiphysics performance is first implemented. On this basis, a multiphysics optimization process for HSPMM rotor is proposed to obtain the optimal design parameters. A comparison of the multiphysics performances of the initial and optimized design schemes shows that the optimized scheme can achieve much lower rotor loss and temperature. The optimization scheme is verified by comprehensive experimental tests on a 400 kW, 10 000 rpm HSPMM prototype.
Unraveling the black dog: How can we improve treatment for depression and can Acceptance and Commitment Therapy contribute to the improvement?

Het doel van dit proefschrift bestond eruit, om te onderzoeken hoe we de behandeling van depressie kunnen verbeteren en welke rol Acceptance and Commitment Therapy (ACT) daarin zou kunnen spelen. Door middel van een meta-analyse onderzochten we de effectiviteit van ACT bij diverse psychische en lichamelijke problematiek. In een gerandomiseerde, gecontroleerde studie onderzochten we de werkzaamheid van ACT nader en vergeleken deze met Cognitieve Gedragstherapie (CGT) bij depressie. We vonden geen aanwijzingen dat CGT effectiever is dan ACT, ook niet een jaar na afronding van de behandeling. Daarnaast onderzochten we de processen, die mogelijk verantwoordelijk zijn voor de veranderingen tijdens de behandeling. We kozen daarbij voor dysfunctionele attitudes, decentering en experientiele vermijding. Deze processen staan centraal binnen de twee therapiemodellen van de CGT en de ACT. We vonden dat dysfunctionele attitudes en decentering een medierende rol speelden in beide behandelvormen. Experientiele vermijding bleek in onze studie specifiek voor ACT. Dit wijst erop dat er overeenkomsten, maar ook verschillen zijn in werkingsmechanisme tussen de beide behandelvormen. Tot slot onderzochten we de relatie tussen hechting en depressie. Een angstige gehechtheid bij aanvang van de behandeling had geen voorspellend vermogen ten aanzien van de uitkomsten van de behandeling. Vermijdende gehechtheid had wel een voorspellend vermogen: hoe meer vermijding, hoe minder depressieve symptomen na behandeling. Ook was de afname van vermijding en angst voorspellend voor een afname van symptomen. We onderzochten tevens middels impliciete maten de rol van relationeel gevoel van eigenwaarde en relationele angst bij depressie. We vonden geen verband.
Space and time distribution of subsurface H2 concentration in so-called “fairy circles”: Insight from a conceptual 2-D transport model

Natural H2 emissions from the ground have now been measured in many places worldwide. These emissions can be localized on faults or be more diffuse in some sedimentary basins, usually of Proterozoic age. In such a case, emanation zones are often visible from aerial images or on high-resolution topographic maps since they correspond to slight depressions of circular to elliptic shape. Furthermore, the rounded depressions are covered with a scrubby vegetation which often contrasts with the surrounding vegetation. Although the emission structure displays a very regular shape, the distribution of H2 concentration in the first meter of soil in such a structure does show a clear pattern. For example, the maximum concentration is almost never measured in the center of the structure and the few time-resolved data show that the soil H2 concentration is variable with time. Here, the time and space evolution of H2 concentration is simulated using a 2-D advective-diffusive model of H2 transport in porous media. Several parameters have been tested as the depth and periodicity of the H2 point source (pulsed), bacterial H2 consumption and permeability heterogeneities of the soil. The radius of the structure is linked to the time spent by the H2 in the soil that depends on the soil permeability, the depth of the gas leakage point and the pressure of the bubble. To account for field observations, the case of a shaly, less permeable, heterogeneity in the center of the structures has been modeled. It resulted in an increase of the concentration toward the rim of the structure and a close to zero signal in its center. If the deep signal is periodic with a frequency smaller than a few hours, H2 concentration within the soil is almost constant; in other cases, the near surface concentration wave reflects the concentration periodicity of the source with a delay (in the range of 12 h for 30 m of soil) and so the near surface H2 concentration values will be highly dependent on the time at which the measurement is performed. H2 monitoring through a sensor network is thus mandatory to characterize the H2 dynamics in the soil of fairy circles.
Hybrid simulation modeling for analyzing the impact of RFID scrubs’ distribution in operating rooms

In this research study, we propose an overview of a hybrid agent-based and discrete-event simulation model to improve medical uniforms' (Scrubs) distribution system in hospitals located in Montreal region This study is important since it allows the assessment of health and safety required conditions that guarantee a safe working environment for medical personnel in hospitals, and particularly vital in the current COVID-19 pandemic Indeed, it assesses operational conditions for minimizing the spread of disease due to a) uniforms' exposure to germs and pathogens, directly related to the distribution process of these uniforms b) insufficient inventory level due to personnel's unusual behaviors in the pandemic context, involving extended use of potentially infected uniforms due to a shortage of uniforms on distribution shelves We propose a framework for hybrid simulation model to evaluate the impact of using an automated RFID-based scrubs distribution system in order to control, from one side, scrubs' contamination and implicitly the contamination of any person or object in contact with employees, and from another side, scrubs' overuse - thereby leading to an inefficient scrubs' inventory management This study is part of a pilot project conducted in one of the largest hospitals in the province of Quebec © 2020 The Authors
Spatial-temporal differentiation of high-quality industrial development level in the Yellow River Basin based on ecological total factor productivity

: High- quality industrial development is an important part of the strategy of ecological protection and high quality development in the Yellow River Basin. In order to study the spatial differentiation of high-quality industrial development in the Yellow River Basin in the past decade, this paper uses EFTP (ecological total factor productivity) as the measurement standard, measures and analyzes the industrial development level of the main cities and urban agglomerations in the Yellow River Basin from 2006 to 2016 through super efficiency DEA and Malmquist index model, and finds that: the industrial development quality level of the Yellow River Basin is uneven, with the overall performance of East > West > Middle, In particular, the productivity of Shandong Penin-sula urban agglomeration is much higher than other regions. The neighbor effect of industrial EFTP in different cities is significant, showing the characteristics of aggregation distribution. During the study period, the industrial EFTP in the Yellow River Basin increased at an average annual rate of 7.5%, the growth rate in the western region was faster, the late development advantage was fully re-flected, and the growth in the eastern and central regions was slower. The central region has always been at a low level of development. It is urgent to adjust industrial development strategies and im-prove technical efficiency in order to promote the overall high-quality development of industry in the Yellow River Basin.
An Approach to Data-Driven Sensing and Predictive Supervisory Control for Commercial Buildings with In-Situ Evaluation

Modern building automation systems offer virtually limitless programmability, sensing, and connectivity, but often do not achieve the energy use or occupant comfort goals of building stakeholders. One major source of the shortfall of modern building automation systems is room-level and zone-level control. Given the lack of perceived importance of zone-level controllers compared to system-level and building-level controllers, comprehensive and efficient zone-level programming is overlooked at the cost of quality of implementation. This thesis addresses these obstacles to improve comfort and energy performance by developing a suite of interrelated approaches and technologies and extensively field testing them in 27 highly instrumented (but typical) offices. One approach to reducing sensor infrastructure (and associated installation and maintenance costs) for advanced control applications is to apply proxy sensing using data-driven modelling. By comparing indirect sensors for energy use estimation (i.e., proxy sensors) to direct energy use estimation sensors, this thesis develops an approach to rank all physically reasonable sensors at the zone level for energy use estimation usefulness. From this approach, it was found that outdoor air temperature, hydronic flow, and hydronic temperature sensors were the most useful for proxy sensing. With the ability to accurately estimate room-level energy use, the performance of novel supervisory control approaches can be quantified. To improve zone-level control, this thesis first developed a simplified model-based predictive control approach for the heating season. The simplified MPC achieved 94% of the energy savings of MPC, but the implementation in a typical building automation system (BAS) controller was much simpler. The simplified MPC approach was modified to remove the underlying indoor air temperature model and scaled to operate in both the heating and cooling seasons in 27 rooms of an institutional building at Carleton University. The MPC and RE control reduced energy use by 42% and 27% in the cooling season and 18% and 33% in the heating season when compared over four weeks of testing for each algorithm and season. Thus, the RE approach was experimentally verified to have comparable energy savings to detailed MPC while using only a few dozen lines of BAS controller-embedded code.
When in Danger, Turn Right: Does Covid-19 Threat Promote Social Conservatism and Right-Wing Presidential Candidates?

Drawing upon the Parasite Model of Democratization across two preregistered experiments conducted in the USA and Poland (total N = 1,237), we examined the psychological and political consequences of the recent COVID-19 pandemic. By manipulating saliency of COVID-19, we found that activating thinking about coronavirus may elevate Americans' and Poles' anxiety and indirectly promote their social conservatism all the way to support for more conservative presidential candidates. The pattern obtained was consistent in both countries, and it suggests that the pandemic may result in a shift in political views.