Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Land Property Rights on Forest Resources in Southern China

The land tenure reform is important for forest resource management worldwide. Since China initiated a new round of collective forestland tenure reform (CFTR) in 2003, improving forest output by clarifying property rights plays a crucial role in realizing sustainable forest resource management. Using survey data of 312 bamboo plantation households from Southern China, this paper empirically examines the impact path of land property rights on forest resources. The estimation results show that both the forestland use right and disposal right are able to significantly improve the forest output by encouraging households to invest and optimizing the allocation of forestry labor. Particularly, the results reveal that the use right has a positive impact on forest output through forestland investment. With regard to the disposal right, we find that it has a positive effect on forest output through forestland investment, but it has a negative impact on forest output through the forestry labor allocation. The findings of this study suggest that to promote the growth of forest resources, the government should endow households with a more complete set of rights, and further strengthen their understanding of property rights. In addition, our findings enhance the understanding of the collective forestland tenure reform in China; they also have implications for the decentralized management of forestry elsewhere in the world.
An Insightful Picture of Nonlinear Photonics in 2D Materials and their Applications: Recent Advances and Future Prospects

The nonlinear optical (NLO) materials are playing a crucial role in almost all aspects of photonics including imaging frequency, manipulation, photon generation, transmission and detection. The nonlinear optics aims to investigate light response in NLO media, in which the NLO response is normally weak and low energy efficient. A comprehensive summary, discussion, and correlation of the light–matter interaction in the 2D nano‐platform, like graphene and TMDCs, would be inspirational and timely needed. In this contribution, a broad overview and discussion about recent experimental evolution regarding the NLO response and its corresponding applications in various 2D materials are presented. A wide material library including graphene, transition metal dichalcogenides, black phosphorus, MXenes, semimetals, polymer materials, and hybrid structures (0D, 1D, 3D) are discussed. In this review, the qualitative description of NLO is firstly illustrated, followed by various fundamental NLO processes being highlighted. Fundamental limits of nonlinear optics and some of NLO applications are prospected. It is hoped that this comprehensive review will shed a light on the development of nonlinear optics with 2D materials to be applied in the field of photonics and optoelectronics.
3D scanning data processing and registration for the construction of urban scenes via image methods

ABSTRACT The difficulty of the 3D registration mainly lies in the huge computation for a precise alignment, especially for large data of urban scenes. In this paper, we proposed an algorithm that converts this 3D problem into 2D case. The main idea is to map the point cloud onto the image. Then, SIFT algorithm is adopted to detect the key points of the images, and key points from two images corresponding to the two point clouds ready to be registered are matched to form several pairs. Next, the key point pairs construct an intrinsic link between the images. From the one-to-one correspondence between pixel and point, this relation can be converted back to 3D space, according to which a transform matrix can be consequently established. The resultant matrix aims at guiding the spatial transform to achieve an ideal 3D registration. Later experiments illustrate that it will obtain a preferable result in much less time.
The Effects of Peer-Based Instant Response System to Promote Learning Performance, Intrinsic Motivation and Self-Efficacy

This study investigated the effects of using different online instant response systems (IRSs) on students, particularly in remedial mathematics classrooms. To achieve the goals, this study applied a mixed-methods approach to examine the effects on learning performance, intrinsic motivation, and self-efficacy. The participants were the seventh-grade junior high school students; they were randomly divided into three experimental groups, Kahoot-based IRS, Quizlet-based IRS, and control group. The results indicated that students in the Kahoot-based IRS performed significantly better in mathematics learning performance and reported higher learning interests, choice, and group self-efficacy. Meanwhile, students in the Quizlet-based IRS remedial classroom reported more positively on learning interest, value, effort, and choice than to the control group.
A study of hydrothermally grown ZnO nanorod-based metal-semiconductor-metal UV detectors on glass substrates

This study reports hydrothermally grown zinc oxide nanorod-based metal-semiconductor-metal ultraviolet detectors with palladium metal as the electrodes. The zinc oxide nanorods were deposited on glass substrates in two steps, seed layer deposition and growth of nanorods. The structural and optical properties of nanorods were examined using scanning electron microscopy and ultraviolet–vis spectroscopy, respectively. The scanning electron microscopy image showed that the growth of nanorods was uniform, and the ultraviolet–vis results indicate that the bandgap of zinc oxide nanorods was 3.23 eV. For metal-semiconductor-metal devices, interdigited metal electrodes with equal interelectrode spacing and a width of 0.3 mm were deposited above the zinc oxide nanorod thin films with a shadow mask using a thermal evaporation system. The current–voltage characteristics of the metal-semiconductor-metal detector were investigated and it showed a contrast ratio of approximately 2.10 and responsivity of approximately 0.199 A/W at 1.8 V. These results are expected to be beneficial to fabricating cheap and practical ultraviolet detection applications.
Aspects of Carbon and Sulfur Transformations in MOFEP Surface Soils

Carbon and sulfur transformations were studied in surface soils from plots in MOFEP sites from August 1993 to May 1996 and in plots in watersheds ofMOFEP sites 1, 3, and 4 from May 1995 to May 1996. Element pools measured included total carbon, total sulfur, sulfate, and organic sulfur. Transformations quantified included lignocellulose mineralization and organic sulfur production. Most parameters measured were similar compared by plots and sites, with large differences observed when compared by date. This baseline data, compared with post-treatment data, may help determine mechanisms involved in soil carbon and sulfur transformations, and their relation to other soil nutrients, such as potassium and magnesium.
Linguistic consequences of toing and froing: factors that modulate narrative development in bilingual returnee children

ABSTRACT This longitudinal study examined the development of narrative micro- and macrostructure in Japanese-English bilingual returnee children. Returnees are children of immigrant families who move to a foreign country, spending a significant portion of their formative developmental years in the foreign majority language context before returning to their native language environment. The returnees did a narrative task in both their L1 (Japanese) and L2 (English) immediately upon their return to their native language environment and a year after. The results showed no aggregate significant changes in L1 or L2 micro- and macrostructure over time. However, at the individual level, the degree of maintenance of L2 microstructure was modulated by L2 exposure. That is, children who continued to receive L2 exposure better maintained their English microstructure (i.e. Type-Token Ratio and Verbs per Utterance) despite being re-immersed in the L1 environment. In terms of their Japanese, the age of return to the L1 environment and relative proficiency predicted the development of their Japanese microstructure (i.e. MLU, Fluency, Type-Token Ratio) and macrostructure. Our study is the first to track both languages of bilingual returnee children over time, revealing that different background variables affect the change in returnee children’s L1 and L2 narrative abilities.
Moving in liminal space: A case study of intercultural historical learning in Swedish secondary school

The aim of this article is to explore the processes of learning when students are engaged in intercultural historical learning (IHL), specifically how spaces of learning were, or were not, opened by students’ struggle to construct meaning. Since IHL is complex, involving both intrinsic disciplinary and extrinsic curricular goals, it is vital to understand this process in detail. The research questions address which aspects seem to activate intercultural learning, and which ones hinder or complicate it. The methodological approach employed was an instrumental, multisite case study where three teaching–learning sequences from two secondary classrooms were investigated. Here, the concepts of ‘decentring’ and ‘perspective recognition’, as aspects of IHL, were seen as threshold concepts. The threshold concepts framework – and specifically the idea of ‘liminal space’, a ‘place of potential learning’, the in-between moments in the learning process where students find themselves before ‘getting it’ – was applied as an analytical tool to uncover and describe specific moments in the selected teaching–learning sequences. Several liminal spaces were unpacked, and it transpired that ‘troublesomeness’ is an integral, potentially productive component when students navigate liminal space as a place for intercultural learning. ‘Barriers’ that obstructed learning, as well as possible ‘entry points’ where a student steps into a productive liminal space, were identified, as well as some major enabling breakthrough moments – ‘junctures’ – for IHL.
A Review of Fuzzy Logic and Artificial Neural Network Technologies Used for MPPT

Solar electric power generating stations play a major role in meeting the growing demand for electric power. These generating stations make use of solar photovoltaic (PV) panels to perform the conversion of solar energy to electric energy. However, the solar panel output is highly unpredictable because the output is a function of number of factors; some of which are not in the control of humans like the weather conditions, and the output is also a function of the age of PV panel, dust and other debris collected on the panel, direction and angle of elevation and so on. The solar panels exhibit a low efficiency. Currently, a lot of research is going on to overcome these issues. This paper represents a review of two modern techniques used in solar photovoltaic systems which enhance the extraction of maximum output power in an efficient manner. The Artificial Intelligence Based MPPT Techniques for PV Applications, and, a Forecasting System of Solar PV Power Generation using Wavelet Decomposition and Biascompensated Random Forest are reviewed and compared in this paper.
Competition and promotion of different mesophases in a series of novel unsymmetrical discotic dimers via subtle modification of spacers and peripheral side chains

The highly ordered columnar plastic (Colhp) phase with charge carrier mobility up to 10−2 cm2 v−1 s−1 which is comparable to that of organic single crystals is considered as a potential charge transport material applied in electronic devices. The Colhp phase formed by monomers hexapropoxytriphenylene (HAT3) and hexabutoxytriphenylene (HAT4) as well as their corresponding symmetrical dimers can be supercooled into glassy states but with no monodomains obtained. It is expected that longer-lasting glassy states with monodomains can be engineered by making them subtly unsymmetrical. Unsymmetrical dimers with a Colhp phase can be constructed by the combination of any two of the three different monomers (HAT3, HAT4 and HAT5). Herein, three series of triphenylene-based dimers T3,4Dm, T4,5Dm, and T3,5Dm were synthesized by changing the spacer length (m = 6–12) and their mesophase was investigated by differential scanning calorimetry, polarizing optical microscopy, and wide-angle X-ray diffraction. These dimers can not only retain the order of the corresponding monomers but also obtain highly ordered single domains much more easily. To our surprise, the superlattice structure was firstly observed among these unsymmetrical dimers which made them not only be tractable models for discotic polymers with charge carrier mobility up to 10−2 cm2 v−1 s−1 but also provide a practical way for cultivating single crystals from discotic liquid crystals. The molecular stacking suggested that two different subunits tend to self-recognize and stack together, which was firstly reported by us and is very meaningful for supramolecular self-organization.
CoCrFeNi High-Entropy Alloy Thin Films Synthesised by Magnetron Sputter Deposition from Spark Plasma Sintered Targets

Two magnetron sputter targets of CoCrFeNi High-Entropy Alloy (HEA), both in equal atomic ratio, were prepared by spark plasma sintering. One of the targets was fabricated from a homogeneous HEA powder produced via gas atomisation; for the second target, a mixture of pure element powders was used. Economic benefits can be achieved by mixing pure powders in the intended ratio in comparison to the gas atomisation of the specific alloy composition. In this work, thin films deposited via magnetron sputtering from both targets are analysed. The surface elemental composition is investigated by X-ray photoelectron spectroscopy, whereas the bulk stoichiometry is measured by X-ray fluorescence spectroscopy. Phase information and surface microstructure are investigated using X-ray diffraction and scanning electron microscopy, respectively. It is demonstrated that the stoichiometry, phase composition and microscopic structure of the as-deposited HEA thin films are almost identical if the same deposition parameters are used.
Theoretical and Experimental Study on the Mechanism of Instability and Firing Gas in Hard Quartz Sandstone

The upper part of high gas coal seam often has a hard and thick sandstone roof, which provides the condition for the occurrence of gas accident in goaf caused by the friction effect for the sliding and instability of hard quartz sandstone. Based on the engineering background of the 1007 working face of Xiakuotan Coal Mine, the conditions of sliding instability of hard quartz sandstone and the possibility of the friction effect are discussed by combining theoretical analysis with the laboratory test. When the ratio of span to thickness is less than 2∼2.56, the hard-thick sandstone strata may slip and lose stability. The influence of friction velocity and gas concentration on the induced gas of quartz sandstone is analyzed and compared. The results show that the point spark, the spark beam, and the gas explosion time are inversely proportional to the relative friction velocity, and the intensity of the gas explosion is directly proportional to the gas concentration and the relative friction velocity. This paper provides the basis for the prevention and control of gas disasters in goaf and the control of hard and thick sandstone roof strata under similar engineering geological conditions. It is of great significance to promote the safe and efficient production of coal mines and to ensure the safety of personal and property.
Gendered and Racial Injustices in American Food Systems and Cultures

Multiple factors create food injustices in the United States. They occur in different societal sectors and traverse multiple scales, from the constrained choices of the industrialized food system to legal and corporate structures that replicate entrenched racial and gender inequalities, to cultural expectations around food preparation and consumption. Such injustices further harm already disadvantaged groups, especially women and racial minorities, while also exacerbating environmental deterioration. This article consists of five sections that employ complementary approaches in the humanities, design studies, and science and technology studies. The authors explore cases that represent structural injustices in the current American food system, including: the racialized and gendered effects of food systems and cultures on both men and women; the misguided and de-territorialized global branding of the Mediterranean Diet as a universal ideal; the role of food safety regulations around microbes in reinforcing racialized food injustices; and the benefits of considering the American food system and all of its parts as designed artifacts that can be redesigned. The article concludes by discussing how achieving food justice can simultaneously promote sustainable food production and consumption practices—a process that, like the article itself, invites scholars and practitioners to actively design our food system in ways that empower different stakeholders and emphasize the importance of collaboration and interconnection.
Detection of False Data Injection Attacks Based on Kalman Filter and Controller Design in Power System LFC

False data injection attacks pose a great threat to the safe and stable operation of power systems. Therefore, the detection and defense of false data injection attacks in LFC systems is becoming more and more important. First, based on the equivalent model of the LFC system and the Kalman filter algorithm, this paper proposes a false data injection attack detection method; secondly, a robust controller is used to reduce load disturbances according to the operating characteristics of the LFC system; then the idea of switching links is proposed to reduce the impact of cyberattack on the system; finally, MATLAB/Simulink software is used to carry out simulation tests. The test results verify the effectiveness of the false data injection attack detection method and switch link defense method proposed in this paper.
Generating Spectrum Images from Different Types - Visible, Thermal, and Infrared Based on Autoencoder Architecture (GVTI-AE)

Recently, numerous challenging problems have existed for transforming different image types (thermal infrared (TIR), visible spectrum, and near-infrared (NIR)). Other types of cameras may lack the ability and features of certain types of frequently-used cameras that produce different types of images. Based on camera features, different applications might emerge from observing a scenario under specific conditions (darkness, fog, night, day, and artificial light). We need to jump from one field to another to understand the scenario better. This paper proposes a fully automatic model (GVTI-AE) to manipulate the transformation into different types of vibrant, realistic images using the AutoEncoder method, which requires neither pre-nor post-processing or any user input. The experiments carried out using the GVTI-AE model showed that the perceptually realistic results produced in the widely available datasets (Tecnocampus Hand Image Database, Carl dataset, and IRIS Thermal/Visible Face Database).
The Fluid Mobilities of K and Zr in Subduction Zones: Thermodynamic Constraints

A subduction zone plays a critical role in forging continental crust via formation of arc magmas, which are characteristically enriched in large ion lithophile elements (LILEs) and depleted in high field strength elements (HFSEs). This trace element pattern results from the different mobilities of LILEs and HFSEs during slab-to-wedge mass transfer, but the mechanisms of trace element transfer from subducting crusts are not fully understood. In this study, thermodynamic simulations are carried out to evaluate the mobilities of K and Zr, as representative cases of LILE and HFSE, respectively, in slab fluids. The fluids buffered by basaltic eclogite can dissolve > 0.1 molal of K at sub-arc depths (~3 to 5.5 GPa). However, only minor amounts of K can be liberated by direct devolatilization of altered oceanic basalt, because sub-arc dehydration mainly takes place at temperatures < 600 °C (talc-out), wherein the fluid solubility of K is very limited (<0.01 molal). Therefore, serpentinite-derived fluids are required to flush K from the eclogite. The solubility of K can be enhanced by the addition of NaCl to the fluid, because fluid Na+ can unlock phengite-bonded K via a complex ion exchange. Finally, it is further confirmed that Zr and other HFSEs are immobile in slab fluids.
Industry 4.0 technologies in the manufacturing sector: Are we sure they are all relevant for environmental performance?

Correspondence Andrea Chiarini, Department of Business Administration, University of Verona, Via Cantarane, 24, 37129 Verona, Italy. Email: andrea.chiarini@univr.it Abstract This research contributes to the debate about the relevance of Industry 4.0 technologies in improving environmental performance in the manufacturing industry. We employed a qualitative–quantitative approach in which 19 Italian operations managers were interviewed and 260 managers responded to an online questionnaire. The effects of various technologies were ranked using ordinal regression. Comments and suggestions gave context to the quantitative results. Sensors, radio-frequency identification, artificial intelligence and analytics were found to be most relevant in improving environmental performance, whereas simulation software contributed moderately. Additive manufacturing, cobots, robots, automated mobile robots and automated guided vehicles had a negative effect, augmented reality had no effect and other technologies indirectly affected environmental performance. We also found a lack of knowledge and application as well as scepticism about technologies such as artificial intelligence and augmented reality. Finally, there was concern about the disposal of electrical and electronic waste produced by these technologies.
Representation of Tropical Mesoscale Convective Systems in a General Circulation Model: Climatology and Response to Global Warming

The characteristics of tropical mesoscale convective systems (MCSs) simulated with a finer-resolution (~50-km) version of the Geophysical Fluid Dynamics Laboratory (GFDL) AM4 model are evaluated by comparing with a comprehensive long-term observational dataset. It is shown that the model can capture the various aspects of MCSs reasonably well. The simulated spatial distribution of MCSs is broadly in agreement with the observations. This is also true for seasonality and interannual variability over different land and oceanic regions. The simulated MCSs are generally longer-lived, weaker and larger than observed. Despite these biases, an event-scale analysis suggests that their duration, intensity and size are strongly correlated. Specifically, longer-lived and stronger events tend to be bigger, which is consistent with the observations. The same model is used to investigate the response of tropical MCSs to global warming using time-slice simulations forced by prescribed sea surface temperatures (SST) and sea-ice. There is an overall decrease in occurrence frequency, and the reduction over land is more prominent than over ocean.
Employement promotion measures and the quality of the job match for persons with disabilities

We evaluate the influence that employment promotion measures and labour market intermediation services addressed to disabled individuals have on the latter? s quality of the job match through the use of matching analysis techniques. Our focus is placed on two aspects of quality: the type of contract held (either permanent or temporary) and whether or not the individual is searching for another job. We find that those measures do not improve the quality of the job match. Implications for labour market policy are discussed.