Miracle-dz/UniFAR-FTUs huggingface dataset:
MINE REHABILITATION: CAN WE KNOW THE FUTURE? A GEOMORPHOLOGICAL PERSPECTIVE FROM AUSTRALIA

As mine rehabilitation planning is an integral part of the mine plan, it is essential to be able to predict the likely success of rehabilitation in terms of its sustainability, the risk of failure, and the potential impact on surrounding ecosystems. A requirement of many regulatory authorities is the inclusion of rehabilitation plans in the Environmental Impact Statement, and at the development stage. Thus rehabilitation forecasts are commonly required in the early stages of mine planning and usually well before mining operations cease. Geomorphic modeling of structural stability, and particularly of the erosion, transport, and deposition of particulate and soluble phases of eroded materials, is an integral part of the rehabilitation assessment. Geomorphic models have to be integrated with other biophysical models in order to provide a holistic picture of the rehabilitation and its potential environmental impacts. The predictive modeling of a proposed rehabilitation structure at Ranger Uranium Mine, North.
Resultat från avkommeprövning av plusträd av vårtbjörk (Betula pendula)

Foradlingsarbetet pa vartbjork (Betula pendula Roth) fick ett uppsving pa slutet av 80-talet efter en andrad opinion om bjorkens betydelse. En ny foradlingsplan togs fram med mal att foradla fram tidig hojdutveckling, hogre torrsubstansproduktion och battre virkeskvalitet. Syftet med denna studie ar att undersoka mojliga forbattringar av vartbjork utifran matningar av ett forsok med halvsyskonfamiljer. Detta genom berakningar av heritabilitet, genetisk vinst, variationskoefficient och korrelationer for egenskaperna diameter, hojd, vitalitet, klykor, rakhet och grenstruktur, vid 10 och 21 ars alder. For den statiskista analysen anvandes en mixad linjar modell som kordes i programmet ASReml, vilket bygger pa restricted maximum likelihood metoden. Resultatet visar att foradlingsmojligheter for vartbjork ar goda speciellt for hojd och diameter, genetisk vinst ar skattad till 20 % respektive 25 %. Klykor, rakhet och grenstruktur, visade inte lika lovande resultat, genetisk vinst lag pa 13 %, 7 % respektive 7 % vid ar tio. Korrelationerna mellan egenskaperna tyder pa svarigheter att foradla for bade battre tillvaxt och kvalitet, till exempel diametern vid ar 10 har en negativ korrelation med grenstrukturen vid ar 21 pa -0,681.
Potential of Using Waste Materials in Flexible Pavement Structures Identified by Optimization Design Approach

This paper presents the design of geosynthetic reinforced flexible pavements and their modification by incorporating waste materials into bonded and unbonded layers of the pavement structure. The optimal design of flexible pavements was achieved by minimizing the construction cost of the pavement. The incorporation of waste materials into the pavement structure affects the material properties. Therefore, along with the traffic load, the effects of the material properties of the asphalt concrete, base layer, sub-base layer, and subgrade were analyzed in terms of pavement structure costs and CO2 emissions of materials used in pavement construction. In addition, a comparison was made between pavements with and without geosynthetic reinforcement in terms of design, optimum construction cost, and CO2 emissions. The use of geosynthetics is even more effective in pavement structures that contain waste materials in an unbound layer, both in terms of cost and CO2 emissions. The minimum value of the California Bearing Ratio of the subgrade was determined at which the use of geosynthetic reinforcement for pavement structure with and without the inclusion of waste materials is economically and sustainably justified. The use of geosynthetics could result in a 15% reduction in pavement structure cost and a 9% reduction in CO2 emissions due to the reduced thickness of unbound layers. In addition, reducing the CBR of the unbound layer from 100% to 30% due to the inclusion of waste materials implies a cost increase of up to 13%. While the present study is based on an empirical pavement design method in which pavement thickness is limited by the pavement thickness index, the same minimum thicknesses are obtained in the optimization process regardless of whether the objective function is the minimum construction cost or minimum CO2 emissions.
aNNoTest: An Annotation-based Test Generation Tool for Neural Network Programs

Even though neural network (NN) programs are often written in Python, using general-purpose test-generation tools for Python to test them is likely to be ineffective, as these tools do not support the particular input constraints that NN programs often require. To address this challenge, we present aNNoTest: an automated unit-test generation tool for NN programs written in Python. aNNoTest offers a simple annotation language that is suitable to concisely express the usual input constraints of NN programs; it then uses these annotations to precisely generate valid inputs that are capable of revealing bugs. This short paper describes how aNNoTest works in practice, and reports some experiments that demonstrate its effectiveness as a bug-finding tool for NN programs. aNNoTest is available as open source.
Determination of Candidate Alternative Plant Actives for Dementia and Alzheimer’s Disease Proteins through Docking Studies

: Alzheimer's disease (AD) is a common type of dementia, which is a progressive brain disorder causing memory, thought and behavioral issues. Effective therapeutic treatments for AD and/or Dementia have not yet been developed. In this study select transcriptomic datasets were analyzed and disease proteins that comply with selection criteria were identified. These proteins were then docked with Donepezil, Galantamine, Memantine and Rivastigmine drugs as well as Thymus cilicius , Melissa officinalis , Salvia sclarea , Linum usitatissimum and Curcuma longa plant actives. Resulting binding energy values for mutant proteins are significantly different from wild type, especially in MET (MET proto-oncogene, receptor tyrosine kinase) (PDB ID: 3ZXZ). The plant actives showed notable Relative
Intuitionistic fuzzy 2-absorbing semiprimary ideals of commutative rings

Abstract The aim of this paper is to define intuitionistic fuzzy 2-absorbing semiprimary ideals and to give their properties. Also, we represent image and inverse image of intuitionistic fuzzy 2-absorbing semiprimary ideal. Furthermore, we provide some properties of cartesian product and give equivalent case for IF2ASPI.
Kalpa Publications in Computing

Nowadays, online news sources generate continuous streams of information that includes references to real locations. Linking these locations to coordinates in a map usually requires two steps involving the named entity: extraction and disambiguation. In past years, efforts have been devoted mainly to the first task. Approaches to location disambiguation include knowledge-based, map-based and data-driven methods. In this paper, we present a work in progress for location disambiguation in news documents that uses a vector-semantic representation learned from information sources that include events and geographic descriptions, in order to obtain a ranking for the possible locations. We will describe the proposed method and the results obtained so far, as well as ideas for future work.
Document-level Text Simplification with Coherence Evaluation

We present a coherence-aware evaluation of document-level Text Simplification (TS), an approach that has not been considered in TS so far. We improve current TS sentence-based models to support a multi-sentence setting and the implementation of a state-of-the-art neural coherence model for simplification quality assessment. We enhanced English sentence simplification neural models for document-level simplification using 136,113 paragraph-level samples from both the general and medical domains to generate multiple sentences. Additionally, we use document-level simplification, readability and coherence metrics for evaluation. Our contributions include the introduction of coherence assessment into simplification evaluation with the automatic evaluation of 34,052 simplifications, a fine-tuned state-of-the-art model for document-level simplification, a coherence-based analysis of our results and a human evaluation of 300 samples that demonstrates the challenges encountered when moving towards document-level simplification.
Non-uniform cue-trading: Differential effects of surprisal on pause usage and pause duration in German

Pause occurrence is conditional on contextual (un)predictability (in terms of surprisal) [10, 11], and so is the acoustic implementation of duration at multiple linguistic levels. Although these cues (i.e., pause usage/pause duration and syllable duration) are subject to the influence of the same factor, it is not clear how they are related to one another. A recent study in [1] using pause duration to define prosodic boundary strength reported a more pronounced surprisal effect on syllable duration, hinting at a trading relationship. The current study aimed to directly test for trading relationships among pause usage, pause duration and syllable duration in different surprisal contexts, analysing German radio news in the DIRNDL corpus. No trading relationship was observed between pause usage and surprisal, or between pause usage and syllable duration. However, a trading relationship was found between the durations of a pause and a syllable for accented items.
Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022

Abstract. Surface melting is one of the primary drivers of ice shelf collapse in Antarctica and is expected to increase in the future as the global climate continues to warm because there is a statistically significant positive relationship between air temperature and melting. Enhanced surface melt will impact the mass balance of the Antarctic Ice Sheet (AIS) and, through dynamic feedbacks, induce changes in global mean sea level (GMSL). However, the current understanding of surface melt in Antarctica remains limited in terms of the uncertainties in quantifying surface melt and understanding the driving processes of surface melt in past, present and future contexts. Here, we construct a novel grid-cell-level spatially distributed positive degree-day (PDD) model, forced with 2 m air temperature reanalysis data and spatially parameterized by minimizing the error with respect to satellite estimates and surface energy balance (SEB) model outputs on each computing cell over the period 1979 to 2022. We evaluate the PDD model by performing a goodness-of-fit test and cross-validation. We assess the accuracy of our parameterization method, based on the performance of the PDD model when considering all computing cells as a whole, independently of the time window chosen for parameterization. We conduct a sensitivity experiment by adding ±10 % to the training data (satellite estimates and SEB model outputs) used for PDD parameterization and a sensitivity experiment by adding constant temperature perturbations (+1, +2, +3, +4 and +5 ∘C) to the 2 m air temperature field to force the PDD model. We find that the PDD melt extent and amounts change analogously to the variations in the training data with steady statistically significant correlations and that the PDD melt amounts increase nonlinearly with the temperature perturbations, demonstrating the consistency of our parameterization and the applicability of the PDD model to warmer climate scenarios. Within the limitations discussed, we suggest that an appropriately parameterized PDD model can be a valuable tool for exploring Antarctic surface melt beyond the satellite era.
A Review of Single-Cell Microrobots: Classification, Driving Methods and Applications

Single-cell microrobots are new microartificial devices that use a combination of single cells and artificial devices, with the advantages of small size, easy degradation and ease of manufacture. With externally driven strategies such as light fields, sound fields and magnetic fields, microrobots are able to carry out precise micromanipulations and movements in complex microenvironments. Therefore, single-cell microrobots have received more and more attention and have been greatly developed in recent years. In this paper, we review the main classifications, control methods and recent advances in the field of single-cell microrobot applications. First, different types of robots, such as cell-based microrobots, bacteria-based microrobots, algae-based microrobots, etc., and their design strategies and fabrication processes are discussed separately. Next, three types of external field-driven technologies, optical, acoustic and magnetic, are presented and operations realized in vivo and in vitro by applying these three technologies are described. Subsequently, the results achieved by these robots in the fields of precise delivery, minimally invasive therapy are analyzed. Finally, a short summary is given and current challenges and future work on microbial-based robotics are discussed.
Relief effects of salicylic acid against the stress of heavy metal in fritillaria hupehensis hsiao et K.C.Hsia

It is well known that salicylic acid (SA) can help plants tolerate abiotic stresses. Nevertheless, the regulatory functions of SA in plants, such as the response of Fritillaria hupehensis Hsiao et K.C. Hsia to exogenous SA rational application under heavy metal stress, remain unknown. This study aimed to assess the relief effects of SA on the damage of F. hupehensis caused by heavy metal cadmium (Cd), as measured by physiological and biochemical characteristics. The results showed that bulb germination and seedling growth of F. hupehensis Hsiao et k. c. Hsia decreased under different Cd toxicity treatments. The radicle length and mitotic index also significantly decreased under Cd stress (P < 0.05), especially under high concentrations of Cd stress. The bulb germination and seedling growth increased slightly under medium concentration treatment compared to low concentration treatment. Cd toxicity treatment significantly reduced the contents of pigment, protein, and sugar in seedlings compared with the control. The contents of total antioxidants and malondialdehyde in Cd-poisoned seedlings increased significantly. The comprehensive treatment promoted the growth of bulbs and seedlings. As a result of Cd stress, SA application significantly increased the bulb germination rate, radicle length, mitotic index, pigment, protein, and sugar content. Lipid peroxidation and total antioxidants were decreased by comprehensive treatments compared with Cd toxicity treatment. This simple study remarkably broadened our understanding of the application and protection of SA in Cd stress. Bangladesh J. Bot. 52(2): 601-606, 2023 (June) Special
Differential modulation of IL-4, IL-10, IL-17, and IFN-γ production mediated by IgG from Human T-lymphotropic virus-1 (HTLV-1) infected patients on healthy peripheral T (CD4+, CD8+, and γδ) and B cells

Human T-lymphotropic virus 1 (HTLV-1) infected individuals remain as asymptomatic carriers (ACs) or can develop the chronic neurological disorder HTLV-1-associated myelopathy/Tropical Spastic Paraparesis (HAM/TSP) or the adult T-cell leukemia/lymphoma (ATLL), and the immunological mechanisms involved in this pathologies need to be elucidated. Recently, it has been demonstrated that induced or naturally developed IgG repertoires obtained from different groups of donors, grouped by immune status, can modulate human T and B cell functions. Here we aimed to evaluate if the IgG obtained from HTLV-1-infected ACs, HAM/TSP, and ATLL patients can differentially modulate the production of cytokines by human T and B cells. With this purpose, we cultured PBMCs with IgG purified from ACs, HAM/TSP, or ATLL donors and evaluated the frequency and intracellular cytokine production by flow cytometry. Our results indicate that IgG from HAM/TSP patients could induce an augment of IL-17-producing CD4+ T cells, reduce the frequency of IL-4-producing CD4+ T cells, increase IFN-γ-producing CD8+ T cells, and reduce IL-4-producing CD8+ T cells. IgG from ATLL could reduce the frequency of IL-4-producing CD4+ T cells, similarly to IgG from HAM/TSP /TSP, and could reduce the frequency of IFN-γ-producing γδT cells without influence on IL-17- and IL4-producing γδT and could reduce the frequency of IL-10- producing B cells. Finally, IgG from both HAM/TSP and ATLL patients could reduce the frequency of IFN-γ producing B cells. In conclusion, these results suggest that these preparations are active, partly overlapping in their effects, and able to elicit distinct effects on target populations.
A Screw Theory-Based Semi-Analytical Approach for Elastodynamics of the Tricept Robot

Taking the well-known Tricept robot as an example, this paper presents a semi-analytical approach for elastodynamic modeling of five or six degrees of freedom (DOF) hybrid robots composed of a 3-DOF parallel mechanism plus a 2- or 3-DOF wrist. Drawing heavily on screw theory combined with structural dynamics, the kinetic and elastic potential energies of the parallel mechanism and of the wrist are formulated using the dual properties of twist/wrench systems and a static condensation technique. This results in a 9-DOF dynamic model that enables the lower-order dynamic behavior over the entire workspace to be estimated in a very efficient and accurate manner. The lower-order natural frequencies and mode shapes estimated by the proposed approach are shown to have very good agreement with those obtained by a full-order finite element (FE) model. It thus provides a very time-effective tool for optimal design within a virtual prototyping framework for hybrid robot-based machine tools.
Carbon Fluxes across Boundaries in the Pacific Sector of the Arctic Ocean in a Changing Environment

In this chapter we examine carbon fluxes across the land-ocean and air-sea boundaries in the Pacific Arctic Region (PAR) as well as ocean gateway exchanges in the region. The latter ocean gateway fluxes includes dissolved inorganic carbon (DIC) transported into the area from the Pacific Ocean via Bering Strait and exported to the Atlantic Ocean via the Canadian Archipelago, as well as exchanges between various sub-regions within the system. We emphasize the changes in the magnitudes of these fluxes in the context of climate warming and sea-ice melt, as well as other hydrological cycle changes in the Arctic. We conclude that while the inflow of DIC from the Pacific Ocean is relatively well quantified (623 ± 78 Tg C yr-1; T=1012), the intermittent input flux from the East Siberian Sea (ESS) is not (32 ± 16 Tg C yr-1). Most of the uncertainty is associated with variability in actual water flux rather than DIC content of this water, and thus is viewed as a systematic error in our DIC mass balance analysis. Furthermore, we determined an export flux of 749 Tg C yr-1 to the Atlantic Ocean, with the caveat that this term has unknown uncertainty due to a paucity of DIC data from the Canadian Archipelago. Within the PAR, the Chukchi Sea is the dominant site for atmospheric carbon dioxide (CO2) uptake (up to 35-46 Tg C yr-1), while the Beaufort Sea (2.9 Tg C yr-1) and the Canadian Archipelago (~10 Tg C yr-1) take-up much less CO2 with latter potentially a weak source of CO2 to the atmosphere during certain times of the year. Additionally, the ESS shelf is a net source of CO2 for the atmosphere (< 5 Tg C yr-1). Summertime CO2 uptake capacity in the deep Canada Basin has increased greatly over the past few years as sea-ice retreat progresses rapidly though earlier flux estimates may be on the high end. Overall, the PAR appears to export more DIC to the Atlantic Ocean than it receives through the combined inputs from the Pacific Ocean, the ESS, the atmosphere, and the rivers by a small amount (45 Tg C yr-1 or 6%). Our preliminary DIC budget suggests that the PAR is probably weakly net heterotrophic (i.e., respiring more organic carbon, OC, than its production). This tentative assessment of the trophic status of the PAR, if supported by further data, suggests that in addition to labile OC produced in the highly productive marginal seas, some riverine and coastal erosion-derived OC is also recycled within this Arctic system. As warming progresses, the Arctic Ocean may produce and export more DIC to the Atlantic Ocean. Whether this change will turn the Arctic Ocean into a weaker CO2 sink or even a CO2 source for the atmosphere is uncertain and dependent on multiple factors that control the rate of surface water CO2 increase versus the rate of the atmospheric CO2 increase.
Battery Maintenance of Pedelec Sharing System: Big Data Based Usage Prediction and Replenishment Scheduling

Pedelecs are an alternative of traditional share bikes by applying the battery-powered motor to assist pedaling and accordingly extend the riding coverage. The large scale deployment of pedelecs, however, requires a careful design of maintenance system to replace the batteries regularly that can be costly. This paper investigates the maintenance of a city-wide pedelec system by developing an offline solution in two steps. First, we develop an optimal and efficient hybrid prediction model which predicts the usage demand of pedelecs in every 48 h on a scale of millions of pedelecs. Our proposal predicts the future usage increment of pedelecs by combining a local predictor, a global predictor, and an inflection predictor, which captures both the short-term and long-term factors affecting the pedelec usage. Second, based on the developed predictor and results of big data analytics, an optimal path planning scheme for the replenishment of pedelec batteries is developed. As compared to other schemes, our scheme can save $40\%$ of the maintenance cost. To verify our proposal, extensive real-data driven simulations are performed which show that the accuracy of the prediction process is high enough than each traditional method and our proposal solves the maintenance problem efficiently.
Genome-wide association study of cooking-caused grain expansion in rice (Oryza sativa L.)

Cooking-caused rice grain expansion (CCRGE) is a critical trait for evaluating the cooking quality of rice. Previous quantitative trait locus (QTL) mapping studies on CCRGE have been limited to bi-parental populations, which restrict the exploration of natural variation and mapping resolution. To comprehensively and precisely dissect the genetic basis of CCRGE, we performed a genome-wide association study (GWAS) on three related indices: grain breadth expansion index (GBEI), grain length expansion index (GLEI), and grain length-breadth ratio expansion index (GREI), using 345 rice accessions grown in two years (environments) and 193,582 SNP markers. By analyzing each environment separately using seven different methods (3VmrMLM, mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB, ISIS EM-BLASSO), we identified a total of 32, 19 and 27 reliable quantitative trait nucleotides (QTNs) associated with GBEI, GLEI and GREI, respectively. Furthermore, by jointly analyzing the two environments using 3VmrMLM, we discovered 19, 22 and 25 QTNs, as well as 9, 5 and 7 QTN-by-environment interaction (QEIs) associated with GBEI, GLEI and GREI, respectively. Notably, 12, 9 and 15 QTNs for GBEI, GLEI and GREI were found within the intervals of previously reported QTLs. In the vicinity of these QTNs or QEIs, based on analyses of mutation type, gene ontology classification, haplotype, and expression pattern, we identified five candidate genes that are related to starch synthesis and endosperm development. The five candidate genes, namely, LOC_Os04g53310 (OsSSIIIb, near QTN qGREI-4.5s), LOC_Os05g02070 (OsMT2b, near QTN qGLEI-5.1s), LOC_Os06g04200 (wx, near QEI qGBEI-6.1i and QTNs qGREI-6.1s and qGLEI-6.1t), LOC_Os06g12450 (OsSSIIa, near QTN qGLEI-6.2t), and LOC_Os08g09230 (OsSSIIIa, near QTN qGBEI-8.1t), are predicted to be involved in the process of rice grain starch synthesis and to influence grain expansion after cooking. Our findings provide valuable insights and will facilitate genetic research and improvement of CCRGE.