Miracle-dz/UniFAR-FTUs huggingface dataset:
Cascading parametric decay coupling between whistler and ion acoustic waves: Darwin particle-in-cell simulations

We present the results of numerical studies of the whistler wave parametric decay instability in the system with the suppressed Landau damping of ion acoustic waves (IAWs) based on the self-consistent Darwin particle-in-cell (PIC) model. It has been demonstrated that a monochromatic whistler wave launched along the background magnetic field couples to a counter-propagating whistler mode and co-propagating ion acoustic mode. The coupling of the electromagnetic mode to the electrostatic mode is guided by a ponderomotive force that forms spatio-temporal beat patterns in the longitudinal electric field generated by the counter-propagating whistler and the pump whistler wave. The threshold amplitude for the instability is determined to be δB w /B 0 = 0.028 and agrees with a prediction for the ion decay instability: δB w /B 0 = 0.042 based on the linear kinetic damping rates, and δB w /B 0 = 0.030 based on the simulation derived damping rates. Increasing the amplitude of the pump whistler wave, the secondary and tertiary decay thresholds are reached, and cascading parametric decay from the daughter whistler modes is observed. At the largest amplitude (δB w /B 0 ∼ 0.1) the primary IAW evolves into a short-lived and highly nonlinear structure. The observed dependence of the IAW growth rate on the pump wave amplitude agrees with the expected trend; however, quantitatively, the growth rate of the IAW is larger than expected from theoretical predictions. We discuss the relevant space regimes where the instability could be observed and extensions to the parametric coupling of whistler waves with the electron acoustic wave (EAW).
Correctness and response time distributions in the MemTrax continuous recognition task: Analysis of strategies and a reverse-exponential model

A critical issue in addressing medical conditions is measurement. Memory measurement is difficult, especially episodic memory, which is disrupted by many conditions. On-line computer testing can precisely measure and assess several memory functions. This study analyzed memory performances from a large group of anonymous, on-line participants using a continuous recognition task (CRT) implemented at https://memtrax.com. These analyses estimated ranges of acceptable performance and average response time (RT). For 344,165 presumed unique individuals completing the CRT a total of 602,272 times, data were stored on a server, including each correct response (HIT), Correct Rejection, and RT to the thousandth of a second. Responses were analyzed, distributions and relationships of these parameters were ascertained, and mean RTs were determined for each participant across the population. From 322,996 valid first tests, analysis of correctness showed that 63% of these tests achieved at least 45 correct (90%), 92% scored at or above 40 correct (80%), and 3% scored 35 correct (70%) or less. The distribution of RTs was skewed with 1% faster than 0.62 s, a median at 0.890 s, and 1% slower than 1.57 s. The RT distribution was best explained by a novel model, the reverse-exponential (RevEx) function. Increased RT speed was most closely associated with increased HIT accuracy. The MemTrax on-line memory test readily provides valid and reliable metrics for assessing individual episodic memory function that could have practical clinical utility for precise assessment of memory dysfunction in many conditions, including improvement or deterioration over time.
RNA-seq and qRT-PCR analyses reveal the physiological response to acute hypoxia and reoxygenation in Epinephelus coioides

Hypoxia is a critical problem in intensive Epinephelus coioides aquaculture systems. In the present study, the physiological responses of E. coioides muscle to acute hypoxic stress (DO = 0.6 ± 0.1 mg/L) and reoxygenation (DO = 6.0 ± 0.1 mg/L) were analyzed by transcriptome sequencing (RNA-seq) and quantitative real-time PCR (qRT–PCR). RNA-seq was conducted on the muscle tissues of E. coioides in the hypoxia-tolerant (EMS), hypoxia-sensitive (EMW), and normoxic (CM) groups. Among the three groups, a total of 277 differentially expressed genes (DEGs) were identified. KEGG analysis revealed that the pathways significantly enriched after hypoxic stress are involved in the immune response, glycolysis/gluconeogenesis, energy metabolism, vasodilation and proliferation, cell proliferation, and apoptosis. qRT‒PCR verified that the differentially expressed genes FIH-1, PHD-2, PPARα, BCL-XL, LDH-A, and Flt-1 were significantly upregulated after hypoxic stress and returned to normal levels after reoxygenation, suggesting that these DEGs play important roles in responding to hypoxia treatment. In addition, the HIF-1 signaling pathway was also activated under hypoxic stress, and qRT‒PCR confirmed that the expression level of HIF-1α was significantly elevated under acute hypoxic stress, indicating that the HIF-1 signaling pathway is the central pathway in the E. coioides hypoxic response mechanism and activates other related pathways to adapt to hypoxic stress. These pathways jointly regulate energy metabolism, substance synthesis, blood vessel proliferation, cell proliferation, and differentiation and prolong survival time. These results provide ideas for understanding physiological regulation after hypoxic stress and reoxygenation and provide basic insights for the future breeding of hypoxia-tolerant E. coioides.
Ex-post consequences of participatory foresight processes in agriculture. How to help dairy farmers to face outcomes of collective decisions planning?

The analysis of the consequences of participatory foresight in agriculture over the long term is little studied in the scientific literature. In particular, it questions how farmers deal with the proposed scenarios afterwards and the modalities of their implementation. This article aims to overcome this by proposing an ex-post analysis of a foresight process with New World Kirkpatrick's Model (NWKM) carried out in mid-2018 in the Fourme de Montbrison cheese Protected Designation of Origin (PDO) area in the Massif Central (France). A set of 24 semi-structured interviews was conducted in spring and summer 2020 with the dairy farmers involved. Moreover, collective organization has been investigated through participatory observation and an analysis of project's progress reports until March 2021. The results show that while the engagement of farmers in the collective dynamic remains, it needs to be continuously rebuilt over time, particularly in order to overcome the effects of social risk-taking and insecurity that farmers must face. In addition, the place of stakeholders needs to be clarified. The article proposes a series of guidelines based on the project's experience and the “Monitor and Adjust” approach of the NWKM. It demonstrates the importance of establishing long-term follow-ups to foresight approaches to encourage farmers into action.
Intercellular communication analysis of the human retinal pigment epithelial and choroidal cells predicts pathways associated with aging, cellular senescence and age-related macular degeneration

The retinal pigment epithelium (RPE) and the choroid are ocular tissues with fundamental roles in supporting neuroretinal function. The pathogenesis of age-related macular degeneration (AMD), a leading cause of irreversible blindness for which aging is the highest risk factor is closely linked with progressive impairment of various functions of these tissues. Cellular senescence, marked by cell cycle arrest and secretion of proinflammatory factors, is known to be associated with aging and has been proposed as a potential driver of AMD. Here, we investigated the role played by intercellular communication in the RPE/choroid within the context of aging, senescence and AMD. We inferred cell–cell interactions in the RPE/choroid by applying CellChat and scDiffCom on a publicly available scRNA-seq dataset from three human donors with and without AMD. We identified age-regulated ligand and receptor genes by using limma on a separate publicly available bulk microarray dataset providing RPE/choroid samples at multiple time points. Cellular senescence was investigated by assigning a score to each cell and each sample of these scRNA-seq and microarray datasets, respectively, based on the expression of key signature genes determined by a previous senescence meta-analysis. We identified VEGF-, BMP-and tenascin-mediated pathways supporting some of the strongest cell–cell interactions between RPE cells, fibroblasts and choroidal endothelial cells and as strong intercellular communication pathways related to both aging and senescence. Their signaling strength was enhanced between subpopulations of cells having high senescence scores. Predominant ligands of these pathways were upregulated with age whereas predominant receptors were downregulated. Globally, we also observed that cells from AMD samples presented slightly bigger senescence scores than normal cells and that the senescence score positively correlated with age in bulk samples (R = 0.26, value of p < 0.01). Hence, our analysis provides novel information on RPE/choroid intercellular communication that gives insights into the connection between aging, senescence and AMD.
Novel industrial surface-defect detection using deep nested convolutional network with attention and guidance modules

Industrial defect inspection plays a crucial role in maintaining the high quality of the product. Although deep learning technologies have been applied to conduct automatic defect inspection, it is still difficult to detect industrial surface defects accurately due to complex variations. This study proposes a novel approach to industrial surface-defect detection that segments defect areas accurately and robustly from the complex background using a deep nested convolutional network (NC-Net) with attention and guidance modules. NC-Net consists of the encoder-decoder with nested residual U-blocks and feature enhancement modules. Each layer block of the encoder and decoder is also represented as a residual U-block. In addition, features are adaptively refined by applying the attention module to the skip connection between the encoder and decoder. Low-level encoder features are refined through edge guidance, and high-level encoder features through mask guidance, which can keep local and global contexts for accurate and robust defect detection. A comprehensive evaluation was conducted to verify the novelty and robustness of NC-Net using four datasets, including magnetic tile surface defects, steel surface defects, rail surface defects, and road surface defects. The proposed method outperformed previous state-of-the-art studies. An additional dataset was also evaluated to prove the extensibility and generality of the proposed approach.
BAC: A block alliance consensus mechanism for the mine consortium blockchain

Safety is an important issue in the mining industry and the Internet of Things (IoT) plays an important role to enhance the safety of the underground working environment. The IoT is used to transfer data generated by underground sensors to cloud storage for further processing. However, third‐party platforms are often a target for cyber attacks. Serious mining accidents might occur if the data were tampered with. In the overground scenario, the security of trading data is also an important issue. The Mine Consortium Blockchain (MCB) is proposed to solve the above problems. The MCB avoids the risk of centralized storage and enables data security, provenance and transparency by taking advantage of blockchain technology. The MCB platform ensures that only designated participants can process mineral data. Any violation is immutably recorded in the MCB and is easily traced back by other participants. Classical consensus mechanisms as the core technology of the blockchain cannot be directly and appropriately applied to the mining industry. A Block Alliance Consensus (BAC) mechanism, which is suitable for all consortium blockchain scenarios, is proposed to improve the performance of the MCB. In addition, the block structure of the underground sensor data is optimized: the blocks only contain a hash of the sensor data and the data being stored in the cloud. The efficiency of the BAC is demonstrated by simulation experiments where the performance of the BAC consensus mechanism is compared with with the performance of classical consensus mechanisms. The MCB and the BAC consensus mechanism were also implemented on Hyperledger Fabric. Finally the Hyperledger Caliper evaluation tool was used to evaluate the performance of the system.
Spectroscopy of the 
S01−D21
 clock transition in 
Lu+176

High precision spectroscopy of the $^1S_0$-to-${^1}D_2$ clock transition of $^{176}$Lu is reported. Measurements are performed with Hertz level precision with the accuracy of the hyperfine-averaged frequency limited by the calibration of an active hydrogen maser to the SI definition of the second via a GPS link. The measurements also provide accurate determination of the $^1D_2$ hyperfine structure. Hyperfine structure constants associated with the magnetic octupole and electric hexadecapole moments of the nucleus are considered, which includes a derivation of correction terms from third-order perturbation theory.
Nobelium energy levels and hyperfine-structure constants

Advances in laser spectroscopy of superheavy ($Z>100$) elements enabled determination of the nuclear moments of the heaviest nuclei, which requires high-precision atomic calculations of the relevant hyperfine structure (HFS) constants. Here, we calculated the HFS constants and energy levels for a number of nobelium (Z=102) states using the hybrid approach, combining linearized coupled-cluster and configuration interaction methods. We also carried out an extensive study of the No energies using 16-electron configuration interaction method to determine the position of the (5f^{13}7s^2 6d) and (5f^{13}7s^2 7p) levels with a hole in the 5f shell to evaluate their potential effect on the hyperfine structure calculations of the low-lying (5f^{14}7s6d) and (5f^{14}7s7p) levels. We find that unlike the case of Yb, the mixing of the low-lying levels with filled and unfilled f shell is small and does not significantly influence their properties. The resulting HFS constants for the 5f^{14}7s7p 1P1 level, combined with laser-spectroscopy measurement, were used to extract nobelium nuclear properties [S. Raeder et al., Phys. Rev. Lett. 120, 232503 (2018)]
Global livestock development: Policies and vision

Owing to the anthropogenic pressures, the global food system is undergoing significant changes. Due to increasing human population forecasted, more than 9 billion by 2050, there is an increase in the food demand and consumption by whole population. The world as a whole is undergoing several transformative changes. Growing population, changing lifestyles, expanding urbanization and accelerated climate changes are forming novel challenges for the global livestock system. Day-by-day due to continuous changes in food consumption patterns, i.e. increased demand for cattle products, resulting from urbanisation, rising affluence, and nutritional and environmental concerns are influencing what we eat, who consumes it, and how much we eat more than ever before. The dual burdens of nutrition, i.e. either overconsumption or malnutrition, along with the need to alleviate the climate change effects, are shaping research priorities, influencing policy, and changing peopleâ€™s perceptions of food in different ways. The livestock industry is a fast-paced industry. It is changing in developing nations as a result of the rapidly increasing demand for animal products. Demand for cattle products is stagnant in industrialised countries, while many production techniques are improving their efficiency and environmental sustainability. Human population expansion, wealth growth, and urbanisation have all influenced demand for products of livestock in the past, and the production response in various livestock systems has been linked to science and technology and rises in animal population. Rivalry for natural resources, notably land and water, as well as competition between food and feed, will progressively effect output in the future. Recognition of United Nations (UN) 2030 Agenda for Sustainable Development as a broad framework that directs growth of the global livestock sector.
Pipeline Processing of VLBI Data

As part of an on-going effort to simplify the data analysis path for VLBI experiments, a pipeline procedure has been developed at JIVE to carry out much of the data reduction required for EVN experiments in an automated fashion. This pipeline procedure runs entirely within AIPS, the standard data reduction package used in astronomical VLBI, and is used to provide preliminary calibration of EVN experiments correlated at the EVN MkIV data processor. As well as simplifying the analysis for EVN users, the pipeline reduces the delay in providing information on the data quality to participating telescopes, hence improving the overall performance of the array. A description of this pipeline is presented here.
IL-2 Flexible Loops Might Play a Role in IL-2 Interaction with the High-Affinity IL-2 Receptor: A Molecular Dynamics (MD) Study

The clinical use of high-dose IL-2 in cancer immunotherapy faces several drawbacks such as toxicity and unfavorable pharmacokinetic profile. These drawbacks can be avoided by inhibiting IL-2 interaction with the CD25 subunit, which is a component of the high-affinity IL-2 receptor (IL-2Rαβγ). Several studies showed mutations of potential IL-2 residues such as R38, F42, Y45, and Y72 would produce IL-2 that is CD25-independent. In essence, structural comparison between wild-type (WT) IL-2 and CD25-independent IL-2 can be very insightful to assess the role of IL-2 flexibility and conformation in the IL-2 receptor interactions. Here, we investigated the flexibility loops and conformation of IL-2m (F24A, Y45A, and L72G), which is known to be CD25-independent, and IL-2m2 (F42Y and L72R) mutants along with WT IL-2 using MD simulations. Despite residue mutations, both IL-2m and IL-2m2 showed comparable conformational compactness and better stability than WT IL-2. Interestingly, IL-2m and IL-2m2 mutants showed rigid BC and CD loops in comparison to WT IL-2 . Also, the AB loop conformation of IL-2m was a bent structure compared to the WT IL-2 and IL-2m2. Principal component analysis (PCA) and free-energy landscape results suggested IL-2m and IL-2m2 have stable conformations compared to the WT IL-2. Therefore, these mutation sites of IL-2 produced stable and rigid loops that might prevent IL-2 from binding to the CD25 subunit. Our results can help to assess IL-2 flexibility loops to design new CD25-independent IL-2 mutants without compromising the IL-2 structure.
Digital cartography of soil classes with fuzzy logic in mountain areas

In order to strengthen the study of soil-landscape relationships in mountain areas, a digital soil mapping approach based on fuzzy set theory was applied. Initially, soil properties were estimated with the regression kriging (RK) method, combining soil data and auxiliary information derived from a digital elevation model (DEM) and satellite images. Subsequently, the grouping of soil properties in raster format was performed with the fuzzy c-means (FCM) algorithm, whose final product resulted in a fuzzy soil class variation model at a semi-detailed scale. The validation of the model showed an overall reliability of 88% and a Kappa index of 84%, which shows the usefulness of fuzzy clustering in the evaluation of soil-landscape relationships and in the correlation with soil taxonomic categories.
Action Research: The Use of PCMRI2 in Analysing Journal Articles

This study focused on the use of PCMRI2 in analysing journal articles for semester 1 students of the Institute of Teacher Education Ilmu Khas Campus. The primary objective was to improve students' skills in analysing journal articles. Six students from PKUK3013E Course were selected as participants in this intervention. The Scaffolding approach was employed for the two-week intervention. The findings revealed an improvement in assessment scores compared to prior to the intervention. Participants in the study demonstrated that PCMRI2 could facilitate them in effective article analysis as well as academic writing. This study suggested that the study of PCMRI2 could be enhanced to include more study samples to achieve high validity and reliability.
Online Quantum Learning

Quantum state tomography concerns the task of learning an unknown quantum state ρ from a series of measurements conducted on copies of the state generated by some black box apparatus. Of primary interest is the sample complexity, or the minimum number of copies required to learn the unknown state ρ sufficiently well. The choice of setting that makes “sufficiently well” precise can drastically affect the sample complexity. For example, if we want to learn the density matrix representation of ρ up to small error in trace norm (see Definition 1.5) distance, then for independently chosen (nonadaptive) measurements, the sample complexity is necessarily at least cubic in the dimension of ρ [3]. On the other hand, if we want to accurately predict expectation values of randomly drawn binary measurements on ρ, it turns out that the sample complexity is logarithmic in the dimension of ρ [2].
Research Based on the Operation of NBA Marketing Strategy

The passage “ Research Based on the Operation of NBA Marketing Strategy “ aimed to looking forward to the strategy of the NBA league used, including three major parts of the marketing strategy of the NBA league in the whole world which are the ticket selling, the broadcasting right and the promotion. The broadcasting rights was mostly mentioned due to the importance of it in the global market and the benefits it takes to the NBA league. There is a close relationship between the new technologies and the whole strategy of the NBA league, especially the mobile phones. The strategy of ticket selling changed to online since the fans are willing to browse the internet and buy tickets online, NBA league is able to earn more revenue with more fans buying their tickets. So does the broadcasting, more people are able to watch the match on their self-phones and the NBA league receive a high bill through selling their broadcasting rights. The promotion prefers the real commodities like shoes. There is a great influence through the world when the basketball stars in the NBA league participate in the publicity of basketball and NBA itself.