Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of classification and regression trees (CART) for analyzing determinants of winter wheat yield variation among fields in Poland

Summary Wheat is one of the modern world’s staple food sources. Its production requires good environmental conditions, which are not always available. However, agricultural practices may mitigate the effects of unfavorable weather or poor-quality soils. The influence of environmental and crop management variables on yield can be evaluated only based on representative long-term data collected on farms through well-prepared surveys.The authors of this work analyzed variation in winter wheat yield among 3868 fields in western and eastern Poland for 12 years, as dependent on both soil/weather and crop management factors, using the classification and regression tree (CART) method. The most important crop management deficiencies which may cause low wheat yields are insufficient use of fungicides, phosphorus deficiency, non-optimal date of sowing, poor quality of seeds, failure to apply herbicides, lack of crop rotation, and use of cultivars of unknown origin not suitable for the region. Environmental variables of great importance for the obtaining of high yields include large farm size (10 ha or larger) and good-quality soils with stable pH. This study makes it possible to propose strategies supporting more effective winter wheat production based on the identification of characteristics that are crucial for wheat cultivation in a given region.
The Application Design of Interactive Multimedia of IT-based Mathematics Learning on Strengtening Students' Characters

This research aims to develop interactive multimedia application of Coordinate System-based on the strengthening of Grade VIII Junior High students’ characters. The development model used in this study refers to the 4-D model proposed by Thiagarajan, Semmel and Semmel consisting of Define, Design, Develop, and Disseminate stages. Product development was tested on 20 students and field test was conducted in three junior high schools namely SMPN 3 Gorontalo, SMPN 1 Kabila Bone Bolango District and SMPN 11 Gorontalo City. The results of this study indicate that interactive multimedia Coordinate System that has been developed: (1) Categorized valid and feasible according to the expert; (2) Multimedia interactive coordinate system is easy to use and improves learners' response in learning. In addition, the implementation of learning by using multimedia coordinate system is in very good criteria, (3) Multimedia can improve the activity and learning outcomes of learners which based on observations obtained the percentage of student activities by 89.75% for limited and average trial class percentage for the field trial class of 94.87% with very good criteria. Students' learning outcomes provide classical completeness data for the limited trial class of 87.50% and field trial classes obtained by an average percentage of 89.33% with very good criteria, (4) Improving character based on the above, the interactive Multimedia coordinate system developed has been said to be valid, practical and effective so that it can be used in the process of Mathematics learning at grade VIII Junior High School.
The path decomposition technique for systems of hyperbolic conservation laws

We are concerned with the problem of the global (in time) existence of weak solutions to hyperbolic systems of conservation laws, in one spatial dimension. First, we provide a survey of the different facets of a technique that has been used in several papers in the last years: the path decomposition. Then, we report on two very recent results that have been achieved by means of suitable applications of this technique. The first one concerns a system of three equations arising in the dynamic modeling of phase transitions, the second one is the famous Euler system for nonisentropic fluid flow. In both cases, the results concern classes of initial data with possibly large total variation.
“You can be the kind of woman that you are”: the discursive management of intersecting identities in leadership talk

The present study investigates how culturally and linguistically diverse (CALD), and Aboriginal and Torres Strait Islander (ATSI) women mobilize intersecting identities through speeches delivered during women in leadership forums. As more women aspire to positions of leadership, the discursive analysis of identity management for understanding how identities are made relevant is critical. Using a discursive psychological approach, this research examines intersectionality as a social action, as it is played out in practice rather than as a theoretical concept. Here it is being anchored to empirical data to explore how it operates in the broader context of leadership talk, in particular, how diverse women represent themselves as leaders and what key identities emerge. The analysis demonstrates that in accounting for how these women achieved leadership positions, the speakers used their multiple identities as strategic resources. These identities included the categories of race, culture, gender, and parenthood. The insights from this study are significant as they shed light on the persisting barriers for women in achieving equal opportunity.
Improving response to an establishment survey through the use of web-push data collection methods

ABSTRACT The web-push method has been shown to increase web response rates in general public surveys. Response rates from two waves of the Emergency Medical Services for Children Program’s Performance Measures Survey, a state-administered establishment survey, were compared to determine if the second wave's revised, centralized implementation strategy improved response rates and consistency across states. The centralized strategy included the web-push design; a carefully timed contacts; and a three-month timeline. The results of the centralized web-push method included a higher overall response rate for a three-month period (81.0% compared to 56.6%) as well as greater consistency in results across states.
Control of flow around a low Reynolds number airfoil using longitudinal strips

We suggest longitudinal strips attached to an airfoil surface as a new stall control device. Their effects on the stall delay and flow modifications are experimentally investigated. The airfoil considered is SD7003 and the Reynolds numbers are Re = 60,000 and 180,000 based on the chord length and freestream velocity. The drag and lift forces on the airfoil are measured by varying the angle of attack from α = 0◦ to 16◦ with and without strips. The optimal strip configuration is determined using a response surface method. Without strip, the stall occurs at α = 11◦ and 13◦ for Re = 60,000 and 180,000, respectively, whereas it is delayed to α = 13◦ and 15◦ with optimal strips. The lift and drag coefficients are significantly increased and decreased by the strips, respectively, at post-stall angles of attack. A corner vortex is generated at each corner of strip near the leading edge. Clockwise and counter-clockwise streamwise vortices are generated at the leftand right-facing corners, respectively, and they slowly move away from the corners while travelling downstream. These vortices provide additional momentum to the airfoil suction surface, resulting in fully attached flow above the strips and reattachment of flow above grooved surface. The longitudinal strips presented here are different from other devices such as
The evaluation of behavior of geopolymer reinforced concrete and conventional reinforced concrete beams: a critical review

As concrete technology has evolved, Geopolymer Concrete (GPC) has emerged as an ecologically friendly material compared to Ordinary Portland Cement (OPC) concrete, which has several complex environmental impacts. Without using OPC, which is typically used as a binder, the GPC has been developed. The base constituent material of GPC, like fly ash, is used to produce binder for geopolymer-reinforced concrete as an alternative. In building construction, the most frequently used component of the reinforced concrete element is a beam made by combining OPC concrete and steel reinforcement. This research involves a critical investigation of the bending behavior of control beams made of conventional reinforced concrete (CRC) and geopolymer reinforced concrete (GRC) beams. This critical review intentions to clarify how to differentiate a flexural behavior between GRC and CRC beams. Data from different experimental studies, which are divided into five parameters namely cracks and failure patterns, failure loads, load and deflection relationships, deflections, and ductility, provide the basis for the research. The results of the analytical review support the claim that the flexural behavior of the two beams exhibits similarities, and is quite typical. Therefore, it is possible to analyze and design GRC beams using the theory and standards used by CRC beams.
Upper semicontinuity of global attractors for a viscoelastic equations with nonlinear density and memory effects

This paper is devoted to showing the upper semicontinuity of global attractors associated with the family of nonlinear viscoelastic equations |∂tu|ρ∂ttu−Δ∂ttu−Δu+∫0+∞μ(s)Δu(t−s)ds+f(u)=h, in a three‐dimensional space, for f growing up to the critical exponent and dependent on ρ ∈ [0,4), as ρ→0+. This equation models extensional vibrations of thin rods with nonlinear material density ϱ(∂tu) = |∂tu|ρ and presence of memory effects. This type of problems has been extensively studied by several authors; the existence of a global attractor with optimal regularity for each ρ ∈ [0,4) were established only recently. The proof involves the optimal regularity of the attractors combined with Hausdorff's measure.
TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry

Recently, transformer architecture has gained great success in the computer vision community, such as image classification, object detection, etc. Nonetheless, its application for 3D vision remains to be explored, given that point cloud is inherently sparse, irregular, and unordered. Furthermore, existing point transformer frameworks usually feed raw point cloud of N×3 dimension into transformers, which limits the point processing scale because of their quadratic computational costs to the input size N. In this paper, we rethink the structure of point transformer. Instead of directly applying transformer to points, our network (TransLO) can process tens of thousands of points simultaneously by projecting points onto a 2D surface and then feeding them into a local transformer with linear complexity. Specifically, it is mainly composed of two components: Window-based Masked transformer with Self Attention (WMSA) to capture long-range dependencies; Masked Cross-Frame Attention (MCFA) to associate two frames and predict pose estimation. To deal with the sparsity issue of point cloud, we propose a binary mask to remove invalid and dynamic points. To our knowledge, this is the first transformer-based LiDAR odometry network. The experiment results on the KITTI odometry dataset show that our average rotation and translation RMSE achieves 0.500°/100m and 0.993% respectively. The performance of our network surpasses all recent learning-based methods and even outperforms LOAM on most evaluation sequences.Codes will be released on https://github.com/IRMVLab/TransLO.
The CXCL13 Index as a Predictive Biomarker for Activity in Clinically Isolated Syndrome

Multiple sclerosis (MS) is a clinically heterogenous disease. Currently, we cannot identify patients with more active disease who may potentially benefit from earlier interventions. Previous data from our lab identified the CXCL13 index (ICXCL13), a measure of intrathecal production of CXCL13, as a potential biomarker to predict future disease activity in MS patients two years after diagnosis. Patients with clinically isolated syndrome (CIS) or radiologically isolated syndrome (RIS) underwent a lumbar puncture and blood draw, and the ICXCL13 was determined. They were then followed for at least 5 years for MS activity. Patients with high ICXCL13 were more likely to convert to clinically definite MS (82.4%) compared to those with low ICXCL13 (10.0%). The data presented below demonstrate that this predictive ability holds true in CIS and RIS patients, and for at least five years compared to our initial two-year follow-up study. These data support the concept that ICXCL13 has the potential to be used to guide immunomodulatory therapy in MS.
Contribution of Internal Audits on the Effectiveness of Procurement Assignments in Tanzania’s Local Government Authorities (LGAs)

The paper assesses internal audit effects on procurement in Local Government Authorities (LGAs). The data is from a structured questionnaire to 241 respondents from LGAs, Public Procurement Regulatory Authorities (PPRA), Internal Audit General office and the National Audit office. The study uses exploratory factor and multiple regression methods to analyse the data using STATA programme and finds that internal audit competencies, procedure and independence affect positively the contribution of internal audit to procurement by LGAs. Thus, the study recommends that internal auditors be exposed to different audit environments and implement strictly the Public Procurement Act (PPA). Employers should employ auditors with various skills. Auditors should know the procedure in PPA and the procurement cycle, which the entities have to follow. Lastly, authorities should enforce the auditors’ independence through providing sufficient resources for the internal audit functions, ensure the audit units access all information and discourage political interference in auditors’ work.
Robust Sliding Mode Control based MPPT for a PV/Wind Hybrid Energy System

In this paper, we present a modeling and simulation study of a hybrid energy system for isolated sites, which combines photovoltaic system with wind turbine based on permanent magnet synchronous generator (PMSG). With the aim of improving the performances and extracting the maximum energy produced by the two Photovoltaic (PV) and Wind sources, we developed a maximum power point tracking (MPPT) controller with robust algorithms based on the nonlinear sliding mode control (SMC). Thus, other conventional MPPT methods have been simulated and evaluated to compare them with the proposed algorithms in order to deduce the most efficient in terms of the maximum power reach and the system behavior during optimal power point tracking. And for a better analysis study, the simulations are carried out under variable weather conditions. The simulation results show that the proposed robust sliding mode control techniques (RSMC) are more efficient and have better performance than other MPPT algorithms.
Investigation of Customer Satisfaction on Damri Bus Services at Soekarno-Hatta Airport

Purpose: The aim of this study is to determine the direct effect of service quality, trust, and price perception on customer satisfaction, and to determine the indirect effect of service quality, trust, and perceived value on customer satisfaction through service quality, trust, and perception of prices for Damri Bus passengers at Soekarno Airport. Theoretical framework: This study uses quantitative methods. The number of samples in this study were 239 respondents from Damri Bus passengers at Soekarno Hatta Airport. Methodology/Approach: The data collection technique used in this research is by distributing questionnaires. Data analysis in this study used SEM techniques assisted by SPSS 25.0 and LISREL 8.8 applications. Findings: The results of this study indicate that service quality, trustworthiness, and price perception have a positive and significant influence on customer satisfaction. Service quality has no positive and significant effect on customer satisfaction through price perception. Service quality has a positive and significant influence on customer satisfaction through trust. Research, Practical & Social implications: Trust has a positive and significant influence on customer satisfaction through price perception. Trust has no positive and significant effect on customer satisfaction through service quality. Price perception has no positive and significant effect on customer satisfaction through service quality. Price perception has a positive and significant effect on customer satisfaction through trust.
Exciting and propagating characteristics of two coexisting kinetic geodesic acoustic modes in the edge of plasma

Coexisting dual kinetic geodesic acoustic modes (KGAMs) with similar characteristics have been observed with Langmuir probe arrays in the edge plasma of HL-2A tokamak with low density Ohmic discharge. The dual KGAMs are named a low-frequency GAM (LFGAM) and a high-frequency GAM (HFGAM), respectively. By changing the line averaged density from 1.0×1019 m−3 to 0.7×1019 m−3, the study of ne and Te profiles indicate that collision damping rate plays a crucial role on exciting of dual KGAMs, especially for the higher frequency branch (HFGAM). With the application of modulating techniques, we provide direct proof that nonlinear interactions between GAMs and ambient turbulence (AT) show great difference at different radial positions. At the exciting position of GAM, the amplitude modulation of AT is dominant, indicating that GAM is generated in the energy-conserving triad interaction. After the exciting of GAMs, they will propagate both inward and outward. During the propagation, the phase modulation of AT is dominant, GAMs can rarely gain energy from AT, yet they can give back-reactions on AT through shearing effect.
Exploring the Heart–Mind Connection: Unraveling the Shared Pathways between Depression and Cardiovascular Diseases

Civilization diseases are defined as non-communicable diseases that affect a large part of the population. Examples of such diseases are depression and cardiovascular disease. Importantly, the World Health Organization warns against an increase in both of these. This narrative review aims to summarize the available information on measurable risk factors for CVD and depression based on the existing literature. The paper reviews the epidemiology and main risk factors for the coexistence of depression and cardiovascular disease. The authors emphasize that there is evidence of a link between depression and cardiovascular disease. Here, we highlight common risk factors for depression and cardiovascular disease, including obesity, diabetes, and physical inactivity, as well as the importance of the prevention and treatment of CVD in preventing depression and other mental disorders. Conversely, effective treatment of CVD can also help prevent depression and improve mental health outcomes. It seems advisable to introduce screening tests for depression in patients treated for cardiac reasons. Importantly, in patients treated for mood disorders, it is worth controlling CVD risk factors, for example, by checking blood pressure and pulse during routine visits. It is also worth paying attention to the mental condition of patients with CVD. This study underlines the importance of interdisciplinary co-operation.
A weighted stochastic restricted ridge estimator in partially linear model

ABSTRACT In this article, we consider the estimation of a partially linear model when stochastic linear restrictions on the parameter components are assumed to hold. Based on the weighted mixed estimator, profile least-squares method, and ridge method, a weighted stochastic restricted ridge estimator of the parametric component is introduced. The properties of the new estimator are also discussed. Finally, a simulation study is given to show the performance of the new estimator.
Monthly and Seasonal Rainfall Forecasting in Southern Brazil Using Multiple Discriminant Analysis

AbstractA multiple discriminant analysis was employed to forecast monthly and seasonal rainfall in southern Brazil. The methodology used includes six steps: data acquisition, preprocessing, feature extraction, feature selection, classification, and evaluation. The predictors (atmospheric, surface, and oceanic variables) and predictand (rainfall) were obtained from the Twentieth Century Reanalysis (version 2), as well as from the HadISST1 (Met Office Hadley Centre) and Global Precipitation Climatology Centre (GPCC) databases. The definition of key regions (feature extraction step) was performed using spatial principal component analysis. In the selection step, the rainfall time series were allocated into terciles, which were related to the predictors via multiple discriminating analyses. The results revealed that ⅓ of the predictors are associated with atmospheric pressure and also emphasized the role of atmospheric circulation over the Antarctic region and its surroundings. Surface variables (albedo and s.
Dry side of the core: a meta-analysis addressing the original nature of the ABA signalosome at the onset of seed imbibition

The timing of seedling emergence is a major agricultural and ecological fitness trait, and seed germination is controlled by a complex molecular network including phytohormone signalling. One such phytohormone, abscisic acid (ABA), controls a large array of stress and developmental processes, and researchers have long known it plays a crucial role in repressing germination. Although the main molecular components of the ABA signalling pathway have now been identified, the molecular mechanisms through which ABA elicits specific responses in distinct organs is still enigmatic. To address the fundamental characteristics of ABA signalling during germination, we performed a meta-analysis focusing on the Arabidopsis dry seed proteome as a reflexion basis. We combined cutting-edge proteome studies, comparative functional analyses, and protein interaction information with genetic and physiological data to redefine the singular composition and operation of the ABA core signalosome from the onset of seed imbibition. In addition, we performed a literature survey to integrate peripheral regulators present in seeds that directly regulate core component function. Although this may only be the tip of the iceberg, this extended model of ABA signalling in seeds already depicts a highly flexible system able to integrate a multitude of information to fine-tune the progression of germination.