Miracle-dz/UniFAR-FTUs huggingface dataset:
Incorporating Human–Animal Interaction Into Academic Stress Management Programs: Effects on Typical and At-Risk College Students’ Executive Function

Implementation of university-based animal-assisted stress-prevention programs is increasing despite limited knowledge about impacts on students’ academic success. This randomized trial (N = 309) examined the effects of a 4-week stress-prevention program with varying levels of human–animal interaction (HAI) and evidence-based content presentations on students’ executive functioning (EF). Effects were examined while considering the moderating role of students’ risk status (N = 121), based on history of academic failure, suicidal ideation, mental health, and learning issues. Intent-to-treat analyses showed that at-risk students showed the highest levels of EF (Β = 4.74, p = .018) and metacognition (Β = 4.88, p = .013) at posttest in the condition featuring 100% HAI, effects that remained 6 weeks later (ΒGlobal EF = 4.48, p = .028; ΒMetacognition = 5.31,p = .009). Since evidence-based content presentations did not confer benefits for at-risk students’ EF, even when offered in combination with HAI, universities should consider providing at-risk students with targeted programs emphasizing exposure to HAI.
Factors Affecting Students’ Intention of Gamification for Learning Model in the Covid- 19 Pandemic Era at Indonesia: A Confirmatory Factor Analysis

The current study explores the measurement of gamification-based distance learning education on campus in the Covid-19 period. Thriving from the regular distance learning during the pandemic Covid-19, the element of interactive study and fun through games will help the students resolve their process of learning. The well famous Technology Acceptance Model, to include the perceived interactivity, is used as the measurement model. The assessment uses the confirmatory factor analysis, and nine hypotheses are stated. The research collects a total of 150 higher education students as the instrument of the sample. The data is analysed by a structural equation model to evaluate hypotheses testing. The result shows the suitability model in explaining the students’ intention up to use gamification-based education. A total of seven out of nine hypotheses are accepted. AT presents the most dominant influence value to BI with the beta value of 0.87. The overall model explains 76 percent of total intention in the measurement model. The theoretical and practical implications are further explained.
The Modulation Effect on the ELVEs and Sprite Halos by Concentric Gravity Waves Based on the Electromagnetic Pulse Coupled Model

By employing the finite-difference time-domain method, the processes of electric field variation and morphological development of the optical radiation field of ELVEs and sprite halos were simulated in this article. Simulations of ELVEs show two optical radiation field centers, with a concentrated luminous zone from 85 to 100 km and an inner weaker optical radiation center. The electric field exhibits an obvious sparse and dense ripple pattern induced by the concentric gravity waves (CGWs) at altitudes of 90–100 km, which mainly occurs during the decline period of electric field with a shallow steepness. The alternating distance of the variations in the sparse and dense patterns is about 40 km, which corresponds to the horizontal wavelength of the electric field. The CGWs induce significant deformation of the inner optical radiation field, even splitting into multiple luminous regions. Simulations of sprite halos indicate that the horizontal range of the electrical field generated by lightning current is within 50 km, and a strong local electric field formed in the region right above the lightning channel is due to the small-scale breakdown current. Thus, the increased electron density shields the upper regions and reduces the electrical field’s strength. The sprite halos luminous zone is pancake-shaped, and it originates at 85 km along with a downward developing trend. The disturbance of sprite halos’ luminescence caused by CGWs mainly occurs at about 80–100 km directly above the lightning channel, and the primary deformation zone is located within 30 km of the lightning channel, which is also the region with the most recognizable electric field disturbance.
Lunar meteorite Northwest Africa 11962: A regolith breccia containing records of titanium‐rich lunar volcanism and the high alkali suite

Northwest Africa (NWA) 11962 is a lunar regolith breccia composed of a wide range of different clasts. The lunar origin of this meteorite is confirmed by oxygen isotope analysis and the Fe/Mn ratio in pyroxene and olivine. In the present study, the clasts and the matrix of NWA 11962 are characterized by optical and electron microscopy along with electron microprobe analyses and micro‐Raman spectroscopy. The meteorite has a glassy impact melt matrix, which accounts for 35% of the surface area in the two thin sections examined, and which contains a very large variety of different lithic clasts, monomineralic clasts, and glass fragments. The presence of volcanic and impact‐related glass spherules led to the classification of this meteorite as a regolith breccia. Lithic clasts include numerous fragments of quartz monzogabbro and lunar felsite, which are quite rare lithologies in the lunar alkali suite. However, the most abundant components in the breccia are gabbroic clasts. The mineral chemistry of the pyroxenes in the gabbroic clasts and the chemistry of various types of glass fragments in the breccia indicate an origin of the regolith from an area with low‐Ti to high‐Ti mare basalt volcanism. In addition to the peculiar petrographic characteristics of NWA 11962, the possible pairing relationships with other lunar meteorites are discussed.
Impact of deep‐time palaeoclimate on the sedimentary records and morphology of lacustrine shoal‐water deltas, Upper Eocene Dongying Depression, Bohai Bay Basin, China

Shoal‐water deltaic systems are predominant during the deposition of the second member of the Eocene Shahejie Formation (Es2) in the Dongying Depression, Bohai Bay Basin, China, and their presence is ascribed to low slopes, shallow water bodies and extremely slow tectonic subsidence. Integrated analyses of sedimentological, seismic geomorphological, palaeohydraulic, palynological and element‐geochemical data reveal the influence of palaeoclimate on the morphology and depositional processes of distributary networks in shoal‐water deltaic strata. Two contrasting palaeoclimatic stages were identified based on palynological and geochemical evidence, namely the earlier warm and humid climatic stage, and the later arid climatic stage. Compared with the earlier humid stage, the arid stage features much more abundant xerophytic species (Labiatae and Ephedra) as well as much higher Mg/Ca, Sr/Ba, and Th/U ratios and B content, indicating extensive evaporation. A third‐order sequence stratigraphic unit was recognized, consisting of a transgressive systems tract with landward stepping parasequence sets, a poorly developed highstand systems tract, and a falling stage systems tract with basinward stepping parasequence sets, which were products of the humid and arid climatic stages, respectively. A series of distributary channel complexes exhibiting reticular patterns was identified in the strata corresponding to the humid climatic stage, with amalgamated, multi‐storey distributary channel sandbodies showing a sinuosity range of 1.1 to 1.3. In contrast, the strata corresponding to the arid climatic stage are dominantly composed of distributary channel systems exhibiting dendritic forms, with prevalent single‐storey channel fills and a low sinuosity range of 1.0 to 1.2. The dendritic system is more stable than the reticular counterpart due to the effects of frequent incision and limited vertical aggradation. Typical modern shoal‐water deltas formed in different climatic conditions (i.e. Poyang Lake delta and Neales River delta) serve as analogues to the proposed conceptual depositional models of distributary networks related to palaeoclimate.
Spatial and Temporal Measurement of the Interaction between the County Economy and Rural Transformation in Xinjiang, China

Given the background of urbanization and rural revitalization in the new era, it is important to explore the synergy between regional macroeconomics and rural transformation, as a balanced and coordinated urban–rural relationship must be built to promote regional sustainable development and rural revitalization. This paper used the spatial econometric model to study the spatiotemporal synergy and interaction between Xinjiang’s county economy and rural transformation from 2007 to 2017. The conclusions were as follows. A clear spatial difference exists between the county economy and the rural transformation level, and regional bulk agricultural products lack competitiveness. The synergy between the county economy and rural transformation is weak, as the county economy is lagging while rural transformation progresses without collaboration, indicating different types of non-equivalence. The county economy has a stronger spatial dependence on rural transformation and insufficient spillover, a stagnating effect, mainly negative driving effects, and unstable interaction effects; while the unstable changes in rural transformation affect the county economy. The urbanization rate, urban wage level, rural employment structure, and planting area per capita were the main influencing factors. It is necessary to deepen rural transformation, consolidate and enhance its stability, cultivate regional growth poles, promote overall development, and promote regional coordination.
Effet de l'alimentation calcique séparée sur les performances de production de la poule LHOMAN BROWN sous climat tropical humide

Effect of the separate calcium feeding on the performances of LHOMAN BROWN laying hens under tropical climate Objective: in hot climates, the performances of laying hens are compromised by heat stress. The separate calcium feeding has been suggested as one of the ways to reduce the harmful effect of heat on the productivity of hens under hot climate. The aim of this work was to evaluate the response of the Lhoman Brown strain subjected to a separate calcium feeding. Journal of Applied Biosciences 97:9212 – 9219
Aspiring for Change: Ethiopian Women's Labor Migration to the Middle East

Abstract:This paper examines why young women in rural Ethiopia decide to migrate as domestic workers to the Middle East. Based on survey data and 84 in-depth interviews, it explores the forces shaping young women's aspirations and capabilities to migrate, challenging the dominant narratives of trafficking, deception, and victimization that surround this migration corridor. It finds, first, that migration to the Middle East is one migration trajectory embedded within a broader urban transition occurring across Ethiopia. For rural women, labor emigration is often a long-distance, short-term strategy to access the capital needed to realize a long-term, short-distance move to town. Second, the aspiration to migrate emerges at a particular moment in the life course, as young women transition from adolescence into adulthood and when local opportunities do not provide promising pathways to achieve their life aspirations. This paper shows why labor emigration can simultaneously be a reasonable, capabilities-enhancing choice for young women and a response to a critical lack of capabilities in other domains of their lives. Finally, through applying an aspiration–capability framework, this paper advances a theoretical approach that avoids the common binary between "forced" and "voluntary" migration and thus contributes to advancing research on other forms of precarious migration occurring under highly constrained conditions.
Identification of Optimal Left-Turn Restriction Locations using Heuristic Methods

Restricting left turns throughout a network improves overall flow capacity by eliminating conflicts between left-turning and through-moving vehicles. However, doing so requires vehicles to travel longer distances. Implementing left-turn restrictions at only a subset of locations can help balance this tradeoff between increased capacity and longer trips. Unfortunately, identifying exactly where these restrictions should be implemented is a complex problem because of the many configurations that must be considered and interdependencies between left-turn restriction decisions at adjacent intersections. This paper compares three heuristic solution algorithms to identify optimal location of left-turn restrictions at individual intersections in perfect and imperfect grid networks. Scenarios are tested in which restriction decisions are the same for all intersection approaches and only the same for approaches in the same direction. The latter case is particularly complex as it increases the number of potential configurations exponentially. The results suggest all methods tested can be effectively used to solve this problem, although the hybrid method proposed in this paper appears to perform the best under scenarios with larger solution spaces. The proposed framework and procedures can be applied to realistic city networks to identify where left-turn restrictions should be implemented to improve overall network operations. Application of these methods to square grid networks under uniform demand patterns reveal a general pattern in which left turns should be restricted at central intersections that carry larger vehicle flows but allowed otherwise. Such findings can be used as a starting point for where to restrict left turns in more realistic networks.
Magnetic circular dichroism of thiolate-protected plasmonic gold nanoparticles: separating the effects of interband transitions and surface magnetoplasmon resonance

Abstract. Magneto-optical activity is demonstrated in thiolate-protected Au nanoparticles with magnetic circular dichroism (MCD) spectroscopy. The samples examined are decanethiolate-protected Au nanoparticles with the mean diameters ranging from 2.0 to 4.7 nm. The nanoparticles larger than 2.4 nm in diameter exhibit a derivative-like MCD signal, indicating the presence of two circular modes of surface magnetoplasmon, but the spectral shape is so asymmetric that its identification is rather difficult. This is due to the contribution of interband transitions occurring at around the localized surface plasmon resonance (LSPR) frequency. We then develop an efficient method to phenomenologically separate the effects of magnetoplasmonic intraband (= Drude) and interband transitions in the measured MCD spectra using an approximation that the optical response of the Au nanoparticle with a critical size (∼2.0 nm) for the disappearance of LSPR, which is also experimentally obtainable, is substantially dominated by the interband transitions. The consistency of the method is ensured for tiopronin-protected Au nanoparticles, and a very small bisignate magnetoplasmonic response hidden in the total MCD spectrum can be extracted. The practical advantage of the proposed method is that we can intuitively and effectively evaluate the characteristic features of the surface magnetoplasmon of thiolate-protected Au nanoparticles without performing complicated Mie or quasielectrostatic calculations.
Geochemical, petrographic, and stratigraphic analyses of the Portage Lake Volcanics of the Keweenawan CFBP: implications for the evolution of main stage volcanism in continental flood basalt provinces

Abstract Continental flood basalt provinces (CFBPs) are large igneous features formed by the extrusion of massive amounts of lavas that require significant evolution within the lithosphere. Although sequential lava flows are effective probes of magmatic systems, CFBPs are typically poorly preserved. We focus on lava flows from the well-preserved 1.1 Ga Keweenawan CFBP that erupted within the Midcontinent Rift System. We present a new geochemical, petrographic, and stratigraphic synthesis from the Main stage Portage Lake Volcanics (PLV). Flow-by-flow analysis of the PLV reveals that major element behaviour is decoupled from trace element behaviour; MgO exhibits limited variability, while compatible and incompatible trace elements deviate from high to low concentrations throughout the sequence. The concentrations of incompatible trace elements slightly decrease from the base of the sequence to the top. We investigate these observations by applying a recharge, evacuation, assimilation and fractional crystallization model to geochemical and petrographic data. Our modelling demonstrates a magmatic system experiencing increased evacuation rates while fractionation and assimilation rates decrease, indicating an increase in magmatic flux. The outcome of this modelling is a progressively more efficient magma system within the PLV. This study highlights the utility of joint petrographic and geochemical interpretation in constraining CFBP magma evolution.
Joint Inversion for Surface Accumulation Rate and Geothermal Heat Flow From Ice‐Penetrating Radar Observations at Dome A, East Antarctica. Part I: Model Description, Data Constraints, and Inversion Results

Ice‐penetrating radar data contain a wealth of information about the bed and internal structure of the ice sheet. While these data have long been used to diagnose the presence of basal water, infer attenuation rates, or explore the internal stratigraphy of the ice sheet, they have rarely been used jointly in a formal inverse model for the ice sheet temperature structure. Here, we invert a coupled thermomechanical ice sheet and basal hydrology model to infer both geothermal heat flow (GHF) and accumulation rate from multiple classes of radar observations in the area around Dome A, East Antarctica. Our forward model solves for a coupled steady state between the ice sheet flow field, temperature, and basal hydrology, including melt, water transport, and freeze‐on. We fit radar observations of basal water, freeze‐on, and internal layers, along with a GHF prior based on aeromagnetic observations. We minimize the combined misfit function by first using an evolutionary algorithm followed by localized perturbation tests. In addition to inferring the spatial distribution of GHF and accumulation rate, we are also able to estimate the uncertainty about our best‐fit answer, as well as quantify how our result depends on each individual data constraint. Our results demonstrate a new method for combining multiple glaciological constraints into a single inverse model of the ice sheet, and give us a more rigorous picture of the information content provided by each data set. In a companion paper we analyze and interpret the best‐fit model.
Security-Constrained Optimal Sizing and Siting of BESS in Hybrid AC/DC Microgrid Considering Post-Contingency Corrective Rescheduling

Hybrid AC/DC microgrids allow the integration of diverse renewable energy resources. However, the security and the reliability of hybrid AC/DC microgrid systems are challenged by various contingencies. In this paper, we propose a BESS sizing and siting approach which uses a combined stochastic programming and robust optimization method to cope with uncertainties of loads, wind power generation, and BESS charging/discharging efficiency. The proposed iterative solution enhances voltage and frequency regulation performances in an islanded hybrid AC/DC microgrid which is subject to post-contingency corrective rescheduling. A successive linear power flow approximation method is adopted to simulate post-fault power flows and represent static frequency characteristics of loads and generators. The proposed iterative solution for the mixed-integer linear programming (MILP) formulation can achieve computational tractability for determining pre-fault and post-fault initial operation points. Case studies corroborate the effectiveness of the proposed model and the solution method.
Enhancing Surface Fault Detection Using Machine Learning for 3D Printed Products

In the era of Industry 4.0, the idea of 3D printed products has gained momentum and is also proving to be beneficial in terms of financial and time efforts. These products are physically built layer-by-layer based on the digital Computer Aided Design (CAD) inputs. Nonetheless, 3D printed products are still subjected to defects due to variation in properties and structure, which leads to deterioration in the quality of printed products. Detection of these errors at each layer level of the product is of prime importance. This paper provides the methodology for layer-wise anomaly detection using an ensemble of machine learning algorithms and pre-trained models. The proposed combination is trained offline and implemented online for fault detection. The current work provides an experimental comparative study of different pre-trained models with machine learning algorithms for monitoring and fault detection in Fused Deposition Modelling (FDM). The results showed that the combination of the Alexnet and SVM algorithm has given the maximum accuracy. The proposed fault detection approach has low experimental and computing costs, which can easily be implemented for real-time fault detection.
What Could Entrepreneurial Vision Do for Sustainable Development? Explore the Cross-Level Impact of Organizational Members’ Green Shared Vision on Green Creativity

Entrepreneurial vision promotes innovation, which is a critical factor contributing to the success of an organization in the globalized world. However, the increasing awareness regarding sustainable development among people worldwide has not induced an increase in organizations’ concerns about environmental issues. An organization’s green shared vision (GSV) states its environmentally friendly philosophy to its members; however, few studies have examined GSV from a cross-level perspective. To fill this research gap, this study examined the influences of GSV on the psychological processes, attitudes, and behaviors of organization members. This study focuses on individuals’ psychological processes to explore the relationships among an organization’s GSV, green product psychological ownership (GPPO), proactive green innovation (PGI), reactive green innovation (RGI), and green creativity (GC). This study’s participants are employees from the research and development, design, marketing, and sales departments of small and medium-sized enterprises in Taiwan. The results obtained by surveying 575 employees in 72 teams indicate that team-level GSV has a positive and significant relationship with GPPO and GC at the individual level. In addition, our research results indicate the existence of mediating effects in the relationships between GPPO and GC and between PGI and RGI. Thus, GSV, GPPO, PGI and RGI greatly influence GC. Consequently, an organization should develop GSV to promote GPPO among its members to facilitate green innovation and enhance the GC of its members.