Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in Blue/Green Water Partitioning Under Severe Drought

Much attention has been given to the disproportionate streamflow deficits (relative to rainfall deficits) experienced by many catchments during the Millennium Drought (1998–2009) in southeastern Australia, along with lack of post‐drought streamflow recovery in some cases. However, mechanisms behind the coupled hydrologic and ecosystem dynamics are poorly understood. We applied a process‐based ecohydrologic model (RHESSys) in a Melbourne water supply catchment to examine changes in ecohydrologic behavior during and after the drought. Our simulations suggested that average transpiration (green water) was maintained under drought despite a substantial (12%) decrease in average rainfall, meaning that the entire rainfall deficit translated to reduced streamflow (blue water). Altered spatial patterns of vegetation behavior across the terrain helped the ecosystem maintain this unexpectedly high green water use. Decreased transpiration upland was compensated by increases in the riparian zone, which was less water limited and therefore able to meet higher water demand during drought. In the post‐drought period, we found greater transpiration and reduced subsurface water storage relative to pre‐drought, suggesting a longer‐term persistence in altered water partitioning. The post‐drought outcome was attributed to a combination of warmer climate and the persisting effects of the drought on nutrient availability. Given the importance of shifting ecohydrologic patterns across space, our results raise concerns for applying lumped conceptual hydrologic models under nonstationary or extreme conditions. Additionally, the processes we identified have important implications for water supply in Australia's second largest city under projected drying.
Capillary pruning couples tissue perfusion and oxygenation with cardiomyocyte maturation in the postnatal mouse heart

Introduction: Removal of poorly perfused capillaries by pruning contributes to remodeling the microvasculature to optimize oxygen and nutrient delivery. Blood flow drives this process by promoting the intravascular migration of endothelial cells in developing networks, such as in the yolk sac, zebrafish brain or postnatal mouse retina. Methods: In this study, we have implemented innovative tools to recognize capillary pruning in the complex 3D coronary microvasculature of the postnatal mouse heart. We have also experimentally tested the impact of decreasing pruning on the structure and function of this network by altering blood flow with two different vasodilators: losartan and prazosin. Results: Although both drugs reduced capillary pruning, a combination of experiments based on ex vivo imaging, proteomics, electron microscopy and in vivo functional approaches showed that losartan treatment resulted in an inefficient coronary network, reduced myocardial oxygenation and metabolic changes that delayed the arrest of cardiomyocyte proliferation, in contrast to the effects of prazosin, probably due to its concomitant promotion of capillary expansion. Discussion: Our work demonstrates that capillary pruning contributes to proper maturation and function of the heart and that manipulation of blood flow may be a novel strategy to refine the microvasculature and improve tissue perfusion after damage.
Digital Twin Modeling Method of Three-Phase Inverter-Driven PMSM Systems for Parameter Estimation

This article proposes a digital twin modeling method of a three-phase inverter-driven permanent magnet synchronous motor (PMSM) for system parameter estimation offline, which does not require any signal injection or additional sensor and measuring equipment, resulting in a noninvasive approach for the digital modeling and parameter estimation of three-phase PMSM. In the proposed method, a digital twin model that includes the inverter-driven PMSM power stage and the close-loop controller is established in a first step. The key parameters of the PMSM (e.g., stator resistance, stator inductance, and flux linkage) are then obtained with a chaotic particle swarm optimization algorithm by comparing the output data of the digital twin model and the actual physical circuit. To verify the correctness of the proposed digital twin model, a series of experimental studies at different operating conditions are performed. In addition, the effectiveness of the parameter estimation based on the digital twin model has been confirmed, and the accuracy of the estimated parameters is acceptable.
MESSENGER observations of induced magnetic fields in Mercury's core

Orbital data from the Magnetometer on the MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) spacecraft allow investigation of magnetic fields induced at the top of Mercury's core by time‐varying magnetospheric fields. We used 15 Mercury years of observations of the magnetopause position as well as the magnetic field inside the magnetosphere to establish the presence and magnitude of an annual induction signal. Our results indicate an annual change in the internal axial dipole term, g10, of 7.5 to 9.5 nT. For negligible mantle conductivity, the average annual induction signal provides an estimate of Mercury's core radius to within ±90 km, independent of geodetic results. Larger induction signals during extreme events are expected but are challenging to identify because of reconnection‐driven erosion. Our results indicate that the magnetopause reaches the dayside planetary surface 1.5–4% of the time.
Recall and Recognition of Fraternal Values and Person–Organization Fit for Members of Men’s College Social Fraternities

Abstract The purpose of the present quantitative study was to examine the recall and recognition of espoused values of undergraduate fraternity members and measures of person–organization fit. The results of this study will help researchers and fraternity professionals best understand the extent to which values are being retained in a cognitive way (espoused) and the relationship to values congruence between members and their fraternity. Benefits to members can result from any programming related values-based initiatives that can be developed as a result of study findings as well as improved assessment of values congruence in fraternal organizations.
The Influence of Democratic Parenting and Self-Regulated Learning on Students’ Academic Procrastination in Ngaglik

Procrastination can cause significant problems and disrupt the education systems of high school students, including those at State Senior High School 1 Ngaglik. This study examines the influence of democratic parenting and self-regulated learning on students’ academic procrastination. We performed this quantitative study using a cluster-random sampling technique. Three measurement tools were used: academic procrastination scale, democratic parenting scale, and self-regulated learning scale. In total, 86 participants completed the survey. Data analysis used analyze multiple regression on SPSS. The findings support our initial hypothesis that democratic parenting and self-regulated learning significantly influence academic procrastination. However, the coefficient value of democratic parenting styles’ influence on academic procrastination was greater than 0.01 (0.245), indicating that the first minor hypothesis is unsupported. The subsequent minor hypothesis testing shows a coefficient value of -0.366 0.01, indicating that self-regulated learning has a significant positive influence on academic procrastination. This finding becomes the basis for explaining how self-regulated learning could contribute to lowering students’ academic procrastination. Increasing self-regulated learning behavior could motivate students to improve their cognitive and problem-solving skills. We believe that the findings from this research still require more exploration from future studies.
Where the buffalo roam: The role of history and genetics in the conservation of bison on U.S. federal lands

As an emblem of the Great Plains, American Indians, and wildlife conservation, the American bison (Bison bison) is one of the most visible and well-known of wildlife species in North America (fig. 1, above). Species of the genus Bison originally entered the continent via the Bering land bridge from northern Eurasia in the Illinoian glacial period of the Pleistocene epoch (125,000–500,000 years ago). Bison are the largest species in North America to have survived the late Pleistocene–early Holocene megafauna extinction period (around 9,000–11,000 years ago), but likely experienced a dramatic population reduction triggered by environmental changes and increased human hunting pressures around this time (Dary 1989; McDonald 1981). The modern American bison species (Bison bison) emerged and expanded across the grasslands of North America around 4,000–5,000 years ago (McDonald 1981). As the major grazer of the continent, bison populations ranged from central Mexico to northern Canada and nearly from the east to west coasts (fig. 2; McDonald 1981), with 25–40 million bison estimated to have roamed the Great Plains prior to the 19th century (Flores 1991; McHugh 1972; Shaw 1995).
THE POWER OF TELEVISION SPECTACLE: FEMINISM AND POPULAR TELEVISION

Popular television is perhaps the most important tool for the production and promotion of popular culture content. It is a strong place of resistance and a space for various cultural struggles, including the feminist struggle that we observe through a number of genres and characters that resist established definitions of femininity and typical female characters. Products of popular culture, such as television soap operas, and lately a number of other genres, especially those that put female characters in the role of heroines, have enabled the development of a diverse spectre of female characters and given their audience a place where they can find authentic representations of their identities and life experiences. Through the analysis of such series, this paper will show how popular television, empowered by the ideals of feminism, and above all, popular feminism, introduced many female characters to a wider audience, and has undeniably become one of the primary places for female consumption of popular culture.
Appressorium formation is regulated by the Msb2‐ and Sho1‐dependent hierarchical transcriptional network in Colletotrichum gloeosporioides

Colletotrichum gloeosporioides, which penetrates the plant hosts via special infection structures called appressoria, causes anthracnose in many plants worldwide. However, the biological mechanism underlying appressorium formation is not fully characterized in this pathogen. In the present study, the overall gene expression pattern of appressorium formation was studied by targeted gene deletion and expression analysis during the conidial germination of wildtype and ΔCgMsb2Sho1 double mutant strains of C. gloeosporioides on hydrophobic surfaces. Significant transcriptional changes were detected for nearly 41.9% and 45.4% of the genes in the wildtype and ΔCgMsb2Sho1 strains, respectively. Two genes encoding the cAMP‐dependent protein kinase regulatory subunit and adenylate cyclase had higher expression in the wild type than in the ΔCgMsb2Sho1 mutant; cAMP then activates the mitogen‐activated protein kinase (MAPK) signalling pathway. However, we revealed that genes involved in the MAPK signalling pathway may inhibit appressorium formation by encoding proteins that disrupt the downstream signal transduction process after recognition of the host by the cell membrane surface receptor proteins mucin (Msb2) and the sensor protein Sho, encoded by CgMsb2 and CgSho1, respectively. Finally, the regulation of transcription factors on lipid metabolism and plant cell wall‐degrading enzymes was affected. The results provide a comprehensive overview of the changes in the expression of important genes during the early stage of appressorium formation, which may be useful for understanding the molecular mechanism of appressorium formation in C. gloeosporioides.
Effect of Indian clubbell exercises on cricket fast bowlers’ shoulder kinematics

Background The glenohumeral joint’s rotational range of motion (ROM) and muscle strength are essential to execute the cricket bowling action. Performing shoulder rotation exercises may increase the rotator cuff muscle strength and rotational ROM. Objectives The aim of this study was to test the effect of a six-week exercise programme on shoulder rotational ROM and muscle strength. Methods Twenty-one healthy male cricket fast bowlers were recruited, ranked and pair-matched on initial shoulder rotator muscle strength and assigned to either a shoulder exercise (SE) group or cricket training (CT) only group. The SE group incorporated Indian clubbell exercises in addition to their cricket training. Results Bowlers in both groups displayed a large increase on the dominant shoulder’s internal rotation (IR) ROM, but only the SE group’s bowlers displayed ROM improvements (p<0.001) bilaterally for both internal and external rotation. The CT group’s fast bowler’s non-dominant shoulder IR ROM significantly decreased (p=0.02) during the six weeks. Between groups, only the SE group’s bowler’s internal rotator muscle strength improved (p<0.001) bilaterally. The observed kinematic changes were statistically significantly greater at a 5% level for the SE group’s bowlers (bilateral internal rotators muscle strength, non-dominant shoulder IR ROM and horizontal adduction ROM). Conclusion Maintenance of the shoulder’s rotational ROM and muscle strength is vital for a fast bowler. Cricket bowlers who perform regular clubbell exercises might increase their shoulder’s ROM and internal rotator cuffs’ muscle strength, which may aid in stabilising their glenohumeral joint while bowling.
Synergetic Photodynamic-Photothermal-Chemotherapy Dual Targeting Nanoplatform Effective Against Breast Cancer in-Mice Model

Introduction Combined multimodal therapy for breast cancer is a promising therapeutic approach to increase treatment efficacy and reduce systemic toxicity. The present study aimed to develop a novel multifunctional drug release nanoplatform based on RGD-conjugated hyaluronic acid (HA)-functionalized copper sulfide (CuS) for activatable dual-targeted synergetic therapy against cancer. Methods The pH and NIR-responsive dual-targeting nanoplatform CuS:Ce6@HA:DOX@RGD was prepared, characterized, and evaluated for its stability and photodynamic and photothermal properties. The loading and release of the drug were measured at different pH values with or without laser radiation using the dialysis method. The cellular uptake of the platform specifically by the tumor cells treated with different formulations was investigated through fluorescence imaging. The in vitro and in vivo biosafety levels were assessed systematically. Finally, the antitumor efficiencies against breast cancer were assessed via in vitro and in vivo experiments. Results The spheroid CuS:Ce6@HA:DOX@RGD exhibited remarkable stability and monodispersity in solution. The photosensitive CuS and Ce6 could simultaneously absorb the near-infrared light efficiently to convert NIR light to fatal heat and to generate reactive oxygen species. The CuS:Ce6@HA:DOX@RGD dissociated under an acid environment, causing the release of DOX into the tumor to accelerate upon laser irradiation. The CuS:Ce6@HA:DOX@RGD exhibited target-specific and strong binding ability via a synergic CD44/αvβ3 receptor-mediated bimodal targeting, which led to improved therapeutic efficacy. The tumor growth was effectively inhibited using synergetic photodynamic/photothermal/chemo therapy. No evident systemic toxicity was noted during treatment. Conclusion The newly prepared CuS:Ce6@HA:DOX@RGD has great potential as an activatable theranostic nanoplatform for efficient dual-targeted synergistic therapy against breast cancer.
Purification of Long Non-coding RNAs on Replication Forks Using iROND (Isolate RNAs on Nascent DNA)

Fork stability is key to genome DNA duplication and genetic integrity. Long non-coding RNAs (LncRNAs) may play vital roles in fork stabilization and chromatin remodeling. Existing techniques such as NCC-RNA sequencing are useful to identify LncRNAs on nascent chromatin DNA. However, there is still a lack of methods for LncRNAs purification directly from replicative forks, hindering a deep understanding of the functions of LncRNAs in fork regulation. Here, we provide a step-by-step protocol named iROND (isolate RNAs on nascent DNA). iROND was developed and modified from iPOND, a well-known method for purifying fork-associated proteins. iROND relies on click chemistry reaction of 5'-ethynyl-2'-deoxyuridine (EdU)-labeled forks and biotin. After streptavidin pull down, fork-associated LncRNAs and proteins are purified simultaneously. iROND is compatible with downstream RNA sequencing, qPCR confirmation, and immunoblotting. Integrated with functional methods such as RNA fluorescent in situ hybridization (RNA FISH) and DNA fiber assay, it is feasible to screen fork-binding LncRNAs in defined cell lines and explore their functions. In summary, we provide a purification pipeline of fork-associated LncRNAs. iROND is also useful for studying other types of fork-associated non-coding RNAs. Key features • Purify long non-coding RNAs (LncRNAs) directly from replication forks. • Connects to RNA sequencing for screening easily. • Allows testing various genotoxic stress responses. • Provides LncRNA candidate list for downstream functional research.
Uncertainty-Aware Hand–Eye Calibration

We provide a generic framework for the hand–eye calibration of vision-guided industrial robots. In contrast to traditional methods, we explicitly model the uncertainty of the robot in a stochastically founded way. Albeit the repeatability of modern industrial robots is high, their absolute accuracy typically is much lower. This uncertainty—especially if not considered—deteriorates the result of the hand–eye calibration. Our proposed framework does not only result in a high accuracy of the computed hand–eye pose but also provides reliable information about the uncertainty of the robot. It further provides corrected robot poses for a convenient and inexpensive robot calibration. Our framework is computationally efficient and generic in several regards. It supports the use of a calibration target as well as self-calibration without the need for known 3-D points. It optionally enables the simultaneous calibration of the interior camera parameters. The framework is also generic with regard to the robot type and, hence, supports antropomorphic as well as selective compliance assembly robot arm (SCARA) robots, for example. Simulated and real experiments show the validity of the proposed methods. An extensive evaluation of our framework on a public dataset shows a considerably higher accuracy than 15 state-of-the-art methods.
PREDICTION CLASSIFICATION AND MODELLING USING DECISION TREE WITH ORDERED REGRESSION AND ITS APPLICATION TO SOCIO-BEHAVIORAL FACTORS ASSOCIATED WITH TOOTHBRUSHING FREQUENCY IN CHILDREN

Toothbrushing is considered the best self-care behavior for the prevention of oral diseases. Brushing teeth twice a day is considered the social norm, but the development of such habits is dependent on psychosocial, economic, and environmental factors. Recognizing the significance of statistical modeling in medical sciences, this study will use decision trees and ordinal regression to predict frequency of toothbrushing in children. The methodology will be harmonized in the R syntax. The study illustrated the development of the method using 527 observations from WHO oral health questionnaire for children. Before regression analysis, the clinical relevance and significance of each of the 28 variables will be assessed using decision tree analysis and tested for accuracy. The classification obtained will be used as an input for the ordinal regression modeling. According to decision tree analysis, smoking, maternal education, dietary habits, history of toothache and self-rated tooth health contributed significantly to the children’s overall toothbrushing frequency. These six variables were used as input for ordinal regression analysis and the developed syntax was used to assess the goodness of fit for the model. Our proposed method achieves the highest level of forecasting precision possible. The process is an alternate to ordinal regression modelling as the selection of appropriate variables is based on computational analysis, forecasting the importance of the independent variables chosen for the final model. This process demonstrates the possibility of developing prediction models which can then be used to formulate clinical hypothesis and inform future researchers.
Comparison and analysis of typical laser point cloud filtering algorithms

Laser radar is widely used in terrain mapping, unmanned driving and other fields because of its characteristics of accurate ranging, high sensitivity and all-weather work. However, more ground point clouds have a negative impact on the accuracy and speed of salient object detection. How to use laser point cloud filtering technology to efficiently extract ground points and non-ground point areas has become the key to improve the calculation speed and reduce the amount of computation. Therefore, this paper takes the SemanticKITTI dataset as the research object and combines theory with experiment to compare the effectiveness of the three-laser point cloud filtering algorithms of current mainstream morphology, CSF and PTD. The research work has guiding significance for scientifically selecting effective laser filtering algorithms.
Effects of Factors Influencing Scar Formation on the Scar Microbiome in Patients with Burns

Skin microbiome dysbiosis has deleterious effects, and the factors influencing burn scar formation, which affects the scar microbiome composition, are unknown. Therefore, we investigated the effects of various factors influencing scar formation on the scar microbiome composition in patients with burns. We collected samples from the burn scar center and margin of 40 patients with burns, subgrouped by factors influencing scar formation. Scar microbiome composition-influencing factors were analyzed using univariate and multivariate analyses. Skin graft, hospitalization period, intensive care unit (ICU) admission, burn degree, sex, age, total body surface area burned (TBSA), time post-injury, transepidermal water loss, the erythrocyte sedimentation rate, and C-reactive protein levels were identified as factors influencing burn scar microbiome composition. Only TBSA and ICU admission were associated with significant differences in alpha diversity. Alpha diversity significantly decreased with an increase in TBSA and was significantly lower in patients admitted to the ICU than in those not admitted to the ICU. Furthermore, we identified microorganisms associated with various explanatory variables. Our cross-sectional systems biology study confirmed that various variables influence the scar microbiome composition in patients with burns, each of which is associated with various microorganisms. Therefore, these factors should be considered during the application of skin microbiota for burn scar management.