bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interpretable early warning recommendations in interactive learning environments: a deep-neural network approach based on learning behavior knowledge graph
Authors: Xia Xiaona , Qi Wanxue 
Published: May 2023

AbstractEarly warning recommendation is crucial for tracking learning behavior and represents a significant issue in interactive learning environments. However, an interactive learning environment-based learning process may not always achieve expected goals, leading to inefficient or ineffective learning behavior and negative emotions. Additionally, many learners fail assessments due to these issues. To address this problem, this study proposes relevant test problems for interpretable early warning recommendations based on massive learning behavior instances and potential relationships. We design an applicable learning analysis model, namely a deep-neural network based on the knowledge graph of learning behavior, and verify its feasibility and reliability through extensive experiments and data analysis. Our results demonstrate that the interactive learning process must match multi-factor analysis at different temporal sequences to determine key temporal sequences or intervals. This is limited by the classification of learning contents and interpretable concepts, which provide effective reference for subsequent learning content with similar concept classes and knowledge structures. Our approach recommends effective learning behavior in appropriate temporal sequences as soon as possible or constructs feasible intervention measures to improve learners’ participation. This research deepens and expands early warning by proposing a feasible new method and obtaining key conclusions with vital practical significance.
Effect of selected environmental factors on the seed germination of the invasive species Polygala myrtifolia (Polygalaceae) in Australia
Authors: Roberts Natalie , Moloney Katrina , Monie Kristin , Florentine Singarayer 
Published: May 2023

Context Polygala myrtifolia L. has become a significant environmental weed in Australia, where it has invaded coastal ecosystems in temperate regions and there is a high risk of extensive further spread. Knowledge of seed-germination behaviour is essential to understand the potential future impact of this species. Aims We investigated the effects of selected environmental factors and dormancy on P. myrtifolia seed germination and emergence to improve management strategies. Methods Seeds were exposed to light, temperature, pH, salinity, osmotic potential and burial depth treatments to assess germination responses, dormancy and viability. Key results Non-dormant seeds readily germinated to high percentages (93.0–95.0%) under specific day–night temperatures of 25°C–15°C regardless of light conditions and across all soil pH (75.0–100.0%). Salinities were tolerated up to 100 mM NaCl (70.0% germination) before sharply declining. Germination reduced from 98.3% to 40.0% at osmotic potentials of −0.4 MPa and −0.6 MPa respectively. Emergence was greatest on the soil surface (48.33%) and absent from depths of 8 cm. Conclusions Germination was high during autumn, winter and spring conditions and across soils of any pH. The species is unlikely to invade areas of high salinity; however, it is moderately tolerant of low soil moisture during germination. Implications There is high risk of P. myrtifolia further invading sensitive ecosystems because of its high germination success. Preventing seed dispersal and ensuring seedlings are controlled on emergence are critical to reducing its impact. We recommend that the cultivation and sale of this species should be prohibited across Australia to prevent further spread.
Using environmental tracers to understand soil organic carbon and soil erosion on a steep slope hillslope in south-east Australia
Authors: Hancock G. R. 
Published: May 2023

Context It is well recognised that soil organic carbon (SOC) can be transported and deposited along the same pathways as those of soil erosion and deposition. Aims To examine the viability of environmental tracers 137Cs and unsupported 210Pb (210Pbex) as tools to inform soil erosion and deposition patterns as well as that of the distribution of SOC. Methods Multiple soil cores were collected along two transects of similar length and aspect in a steep-slope soil mantled environment in south-east Australia. Key results Average SOC concentration was high for both transects (~6% and 4%). SOC decreased moving downslope suggesting loss of SOC by erosion. There were strong and significant positive relationships of SOC with 137Cs and 210Pbex (both r > 0.77, P < 0.0001). At this site, SOC concentration appears related to erosion and deposition patterns. Conclusion The hillslope distribution of 137Cs and 210Pbex were very similar, indicating that both tracers were viable in this environment (r = 0.9, P < 0.0001). The different origins and half-lives of 137Cs and 210Pbex also demonstrate that the patterns of erosion and deposition are consistent at decadal time scales. Implications The use of 210Pbex provides an alternative method for understanding erosion and deposition patterns as well as that of SOC, given that the viability of 137Cs (half-life of 30.1 years) is now questionable due to no new replenishment.
An experimental investigation of P/Case‑drop in Korean gapping
Authors: Kim Jeong-Seok 
Published: May 2023

Abstract
This study examines two syntactic analyses of P/Case-drop in Korean gapping (aka
right-node-raising or right-peripheral ellipsis): LF copying (Abe & Hoshi 1997) and
PF deletion (Kim 1997). We employ two online acceptability rating experiments to
investigate to what extent the distribution of P/Case-drop is controlled by grammatical and extra-grammatical constraints. The
experimental findings suggest that (a) linear non-parallelism elicits a processing cost for gapping and (b) P/Case-drop is a
costly operation, which results in higher frequencies of PP fragments (in relation to NP fragments) and Case-marked NP fragments
(in relation to Case-less NP fragments). We argue that the parallelism effect follows from the parser’s general preference to keep
the structure of each conjunct maximally parallel in a coordination structure (Kim et al.
2020). Given this, we conclude that P/Case-drop phenomena in Korean gapping are better explained by a PF deletion
analysis, supplemented with extra deletion (An 2016, 2019; Erschler 2022) and ellipsis parallelism (Frazier, Munn & Clifton 2000; Kehler 2000;
Frazier & Clifton 2001; Carlson
2002), rather than by an LF copying analysis.
Slowly rotating Tolman VII solution
Authors: Posada Camilo , Stuchlík Zdeněk 
Published: May 2023

Abstract
We present a model of a slowly rotating Tolman VII (T-VII) fluid sphere, at second order in the angular velocity. The structure of this configuration is obtained by integrating numerically the Hartle–Thorne equations for slowly rotating relativistic masses. We consider a sequence of models where we vary the parameter

R

/

R

S

, where R is the radius of the configuration and

R

S

is its Schwarzschild radius, representing an adiabatic and quasi-stationary contraction by progressively reducing the radius while keeping the angular momentum and gravitational mass constant. We determined the moment of inertia I, mass quadrupole moment Q, and the ellipticity ɛ, for various configurations. Similarly to previous results for Maclaurin and polytropic spheroids, in slow rotation, we found a change in the behavior of the ellipticity when

R

/

R

S

reaches a certain critical value. Based on our analysis for the T-VII solution, we found variations of

in the

and

relations, and

variation in the I − Q relation, with respect to the universal fittings proposed for realistic neutron stars (NSs). Our results suggest that the T-VII solution can be considered a rather good approximation for the description of the interior of NSs.
Defect properties of a body-centered cubic equiatomic TiVZrTa high-entropy alloy from atomistic simulations
Authors: Li Yalin , Qiang Wenjiang 
Published: May 2023

Abstract
TiVZrTa high-entropy alloys (HEAs) have been experimentally proven to exhibit excellent irradiation tolerance. In this work, defect energies and evolution were studied to reveal the underlying mechanisms of the excellent irradiation tolerance in TiVZrTa HEA via molecular statics calculations and molecular dynamics simulations. The atomic size mismatch of TiVZrTa is ∼6%, suggesting a larger lattice distortion compared to most face-centered cubic and body-centered cubic M/HEAs. Compared to pure Ta and V, smaller vacancy formation and migration energies with large energy spreads lead to higher equilibrium vacancy concentration and faster vacancy diffusion via low-energy migration paths. Vacancies in TiVZrTa have weaker abilities to form large vacancy clusters and prefer to form small clusters, indicating excellent resistance to radiation swelling. The formation energies of different types of dumbbells in TiVZrTa show significant differences and have large energy spreads. The binding abilities of interstitials in TiVZrTa are weaker compared to that in pure Ta and V. In TiVZrTa, fast vacancy diffusion and slow interstitial diffusion result in closer mobilities of vacancies and interstitials, significantly promoting point defect recombination. We further studied the effects of short-range ordered structures (SROs) on defect diffusion and evolution. SROs in TiVZrTa can effectively lead to higher fractions of defect recombination and fewer surviving defects. Our findings provide a comprehensive understanding of the underlying mechanisms of the high irradiation tolerance in body-centered cubic HEAs with large lattice distortion and suggest SROs are beneficial microstructures for enhancing irradiation tolerance.
A polynomial constitutive model of shape memory alloys based on kinematic hardening
Authors: Yang Cheng , Zhang Dayi , Scarpa Fabrizio , Zhang Qicheng , Sun He , Zhang Xiaoyong 
Published: May 2023

Abstract
This paper describes the derivation of a phenomenological model for shape memory alloys under the framework of classical plasticity theory. The proposed model combines the Souza constitutive approach with kinematic hardening; the model requires solving only one nonlinear equation rather than several nonlinear ones, therefore increasing the computational efficiency and convergence. Moreover, the original Souza model is improved by adding an odd polynomial function to describe the phase transformation of the shape memory alloys, making it possible to use a lower number of parameters for the inverse identification of the constitutive properties of SMAs from simple tensile tests. A tangent stiffness formulation is also derived to simulate the variation of the elastic modulus during the phase transformation. The tangent stiffness formulation proposed here extends the one used in classical plasticity and improves the convergence of the proposed model. The reliability and fidelity of the model described in this work are benchmarked against experimental data and other models. The numerical results show that the proposed phenomenological approach can describe well the pseudoelasticity and shape memory effect of shape memory alloys. The formulation described in this paper can be readily generalized to finite strains and other formulations based on existing formulations related to classical plasticity theory.
Many body density of states of a system of non interacting spinless fermions
Authors: Lefèvre Rémi , Zawadzki Krissia , Ithier Grégoire 
Published: May 2023

Abstract
The modeling of out-of-equilibrium many-body quantum systems requires to go beyond low-energy physics and single or few bodies densities of states. Many-body localization, presence or lack of thermalization and quantum chaos are examples of phenomena in which states at different energy scales, including highly excited ones, contribute to dynamics and therefore affect the system’s properties. Quantifying these contributions requires the many-body density of states (MBDoS), a function whose calculation becomes challenging even for non-interacting identical particles due to the difficulty to enumerate accessible states while enforcing the exchange symmetry. In the present work, we introduce a new approach to evaluate the MBDoS in the general case of non-interacting systems of identical quantum particles. The starting point of our method is the principal component analysis of a filling matrix F describing how N particles can be distributed into L single-particle energy levels. We show that the many body spectrum can be expanded as a weighted sum of singular vectors of the filling matrix. The weighting coefficients only involve renormalized energies obtained from the single body spectrum. We illustrate our method in two classes of problems that are mapped into spinless fermions : (i) non-interacting electrons in a homogeneous tight-binding model in 1D and 2D, and (ii) interacting spins in a chain under a transverse field.
Nonminimally assisted inflation: a general analysis
Authors: Hyun Sang Chul , Kim Jinsu , Kodama Tatsuki , Park Seong Chan , Takahashi Tomo 
Published: May 2023

Abstract
The effects of a scalar field, known as the “assistant field,” which nonminimally couples to gravity, on single-field inflationary models are studied. The analysis provides analytical expressions for inflationary observables such as the spectral index (ns
), the tensor-to-scalar ratio (r), and the local-type nonlinearity parameter (f
NL
(local)). The presence of the assistant field leads to a lowering of ns
and r in most of the parameter space, compared to the original predictions. In some cases, ns
may increase due to the assistant field. This revives compatibility between ruled-out single-field models and the latest observations by Planck-BICEP/Keck. The results are demonstrated using three example models: loop inflation, power-law inflation, and hybrid inflation.
Unknown risk: assessing refugee camp flood risk in Ethiopia
Authors: Bernhofen Mark V , Blenkin Faye , Trigg Mark A 
Published: May 2023

Abstract
The number of global refugees has been rising annually for the last decade. Many of these refugees are housed within camps, in temporary structures, vulnerable to the impacts of flooding. The flood risk of refugees is not well understood. Flood risk guidance available for camp planners and managers is vague, and existing flood risk data is often lacking in the remote areas where camps are typically located. We show how global data should, and should not, be used to assess refugee flood risk in Ethiopia; a country hosting 725 000 refugees, primarily from four neighboring countries, in 24 camps. We find that global population (GP) datasets, typically used in national flood risk assessments, do not accurately capture camp populations (CPs). Even the most accurate GP datasets are missing three fifths of camp flood exposure. We propose, and test, alternative approaches for representing exposure that combine reported estimates of CP with data on camp area, building footprints, and population density. Applying these approaches in our national flood risk assessment, we find that 95.8% of camps in Ethiopia are exposed to flooding of some degree and between 143 208 (19.8%) and 182 125 refugees (25.2%) are exposed to a 1% annual exceedance probability flood (100 year return period). South Sudanese refugees are the nationality most exposed to flooding, but Eritrean refugees are the nationality most exposed to flooding with a high risk to life. Promisingly, we find that many camps may be set up in such a way that reduces the exposure of refugees to flooding. Our study demonstrates that global data, augmented with local data, can be useful for understanding the flood risk of refugee camps. The consistent scalable approach can be used as a first-order analysis of risk, identifying risk hotspots, and help to prioritize further detailed analyses to inform within-camp adaptation.
Influence of the Northwest Pacific tripole mode on the mid-summer precipitation in North China and the regulation by the North Atlantic
Authors: Xie Tiejun , Wang Ji , Gao Hui , Zhao Liang , Liu Yanju , Sun Linhai 
Published: May 2023

Abstract
The North China mid-summer (July) precipitation (NCJP) contributes the largest proportion of total annual precipitation in North China, with significant interdecadal and interannual variability. The interannual variability of the NCJP was further investigated on the basis of a study of its interdecadal variability and found that a sea surface temperature (SST) pattern in July located in the northwest Pacific, defined here as the northwest Pacific SST tripole (NWPT), can significantly influence the interannual variability of the NCJP, and that this relationship is regulated by the decadal northern North Atlantic SST (NNASST). Diagnostic analysis and the linear baroclinic model experiment indicate that the positive (negative) NWPT in July can excite an anomalous anticyclone (cyclone) in the region centered on the Korean peninsula and an anomalous cyclone (anticyclone) in the northwest Pacific off southeast Japan, thereby strengthening (weakening) the NCJP. When the decadal NNASST is in a significantly positive phase, the positive geopotential height anomalies it excites in the northwestern region off North China are not favorable for the connection between the NWPT and the NCJP. When the decadal NNASST is in a negative or insignificantly positive phase, the July NWPT and the NCJP have a significant positive correlation on interannual timescale.
Production Risk Identification and Assessment of Prawn Crackers Product using Fuzzy Failure Mode and Effect Analysis: A Case Study
Authors: Atmaka Sri Dharma Cyntya , Santoso Imam , Deoranto Panji , Dania Wike Agustin Prima 
Published: May 2023

Abstract
PT. XYZ is an agro-industrial company that produces and exports prawn crackers. During the production process, this company faced various risks of production failure such as the non-fulfillment of product standards. Therefore, proper risk identification and assessment are needed. This study aims to identify and analyze potential failure modes (FM) of each stage of prawn cracker production using the Fuzzy Failure Mode and Effect Analysis (Fuzzy-FMEA) method. Identification was carried out to determine the potential FM, failure causes, and failure effects. Then, the assessment was carried out to determine the risk priorities based on the value of the Fuzzy Risk Priority Number (FRPN) of each identified FM. The results showed that there were 45 FM were identified from 10 stages of the production process. Priority risks for each are the risk of the raw materials not meeting the organoleptic test at the raw materials preparation stage, the risk of damage to mixing machines and equipment at the mixing stage, the risk of uncooked cuboid dough contamination at the forming stage, the risk of damage to steaming machines and equipment at the steaming stage, the risk of cooked cuboid dough damage at the pressing stage, the risk of damage pre-drying machines and equipment at the pre-drying stage, the risk of damage to the chilling machines and equipment during the chilling stage, the risk of damage to the slicing machines and equipment at the slicing stage, the risk of damage to the drying machines and equipment at the drying stage, and the risk of damage to the packaging machines and equipment at the final product packaging and storing stage.
Economic Transformation of Pepper Farmer’s Households in Lampung Province
Authors: Indah Lidya Sari Mas , Arifin Bustanul , Ambya  , Syahidah Nurfath Bella 
Published: May 2023

Abstract
This study aims to analyze: (1) pepper farming income (2) income and economic transformation of pepper farmer’s households. This research was conducted in 3 districts that were chosen purposively because these locations are the main black pepper producers in Lampung Province. There were 100 farmer respondents and were taken by simple random sampling method. Data collection was carried out from April to September 2020. The analytical method used was farming analysis and farmer household income. The results showed that pepper farming activities in Way Kanan, North Lampung, and East Lampung Regency were profitable to cultivate because the RC ratio was more than one, the economic income of farmer’s households came from on farm pepper, on farm non pepper, non-farm and off farm.
The policy impacts and implications from the insights of mangosteen export chains
Authors: Sayekti A L , Hayati N Q , Sulistyaningrum A , Sjafrina N , Mulyono D , Anwarudinsyah M J , Hafizah D , Prabawati S 
Published: May 2023

Abstract
Mangosteen has the highest contribution to Indonesian fruit export under the national fruit trade balance deficit. As this fruit is mainly cultivated by small-scale farmers in rural areas in an agroforestry pattern, mangosteen is essential for farmers’ income and environmental sustainability. However, there are noticeable gaps between the mangosteen production and export demand which means the potential market for Indonesia is to increase export. On the other hand, some bottlenecks along the supply chain of exporting mangosteen in Indonesia. This study employs the value chain analysis to evaluate the governance of mangosteen export. Results show that the primary issue is the transparency of the standard quality of exported mangosteen along the supply chains. The significant differences between the local and exported market prices are expected to be the disadvantages farmers face. The information on the mangosteen quality between farmers and traders is different, potentially decreasing the prices received by farmers as the standard in the farmers’ levels is higher than in the traders. Government and farmer groups should work with traders to resolve this problem to enhance the fairness of the benefit earned by each actor along the supply chain. Suppose this information is transferred transparently among actors along the supply chain. In that case, it will not only enhance the farmers’ income but also motivate them to increase productivity and quality, eventually enhancing the export of Indonesian mangosteen.