Miracle-dz/UniFAR-FTUs huggingface dataset:
Student’s scheme in solving mathematics problems

The purpose of this study was to investigate students’ scheme in solving mathematics problems. Scheme are data structures for representing the concepts stored in memory. In this study, we used it in solving mathematics problems, especially ratio and proportion topics. Scheme is related to problem solving that assumes that a system is developed in the human mind by acquiring a structure in which problem solving procedures are integrated with some concepts. The data were collected by interview and students’ written works. The results of this study revealed are students’ scheme in solving the problem of ratio and proportion as follows: (1) the content scheme, where students can describe the selected components of the problem according to their prior knowledge, (2) the formal scheme, where students can explain in construct a mental model based on components that have been selected from the problem and can use existing schemes to build planning steps, create something that will be used to solve problems and (3) the language scheme, where students can identify terms, or symbols of the components of the problem.Therefore, by using the different strategies to solve the problems, the students’ scheme in solving the ratio and proportion problems will also differ.
Elastic-plastic analysis for functionally graded thick-walled tube subjected to internal pressure

The elastic-plastic response of the functionally graded thick-walled tube subjected to internal pressure is investigated by using the relation of the volume average stresses of constituents and the macroscopic stress of composite material in micromechanics. The tube consists of two idealized isotropic elastic-plastic materials whose volume fractions are power functions of the radius. As the internal pressure increases, the deformations of one phase and two phases from elastic to plastic are analyzed. In order to simplify the calculations we assume both materials with the same Poisson's ratio. By using the assumption of a uniform strain field within the representative volume element and the Tresca yield criterion, the theoretical solutions are obtained for the case of two elastic phases and the case of two plastic phases, and the function of the radial displacement is presented for the case with both elastic and plastic phases. The yield criterion of functionally graded material is given in terms of the yield stresses and volume fractions of constituents rather than Young's modulus and yield stress with different unknown parameters of the whole material in the existing papers. Finally we also discuss the position where the plastic deformation first occurs and the conditions for which material first yields in the tube.
Adaptive responses and transgenerational plasticity of a submerged plant to benthivorous fish disturbance

Abstract Submerged macrophytes play a key role in the restoration of shallow eutrophic lakes. However, in some subtropical lakes, benthivorous fishes dominate the fish assemblages and influence the growth of submerged plants. A comprehensive understanding of the direct and indirect effects of benthivorous fishes on submerged plants is important. We conducted mesocosm experiments to examine the effects of three densities of benthivorous fish, Misgurnus anguillicaudatus, on the water properties, the growth, asexual reproduction, and the germination of turions of Potamogeton crispus L. Our results showed that fish disturbance increased TN, TP, PO4–P, NH4–N, and NO3–N of the water, raising the extinction coefficient K, Chl a, and the periphyton biomass. Benthivorous fish disturbance reduced the total biomass, root length, relative growth rate (RGR), and branching number while increasing the plant height of P. crispus. The P stoichiometric homeostasis coefficient (H P) (except turions) and H N was lower in plant tissues due to fish disturbance. Benthivorous fish disturbances promoted turions formation (e.g., increased turions total numbers and biomass) of P. crispus. Moreover, P. crispus exhibited transgenerational plasticity for benthivorous fish affecting turion emergence. The maximum final germination rate occurred only when fish density in the mother plant grow experiment matched that in the turion germination experiment. Turions generated by P. crispus disturbed by low‐density fish exhibited increased germination rates. Our findings suggest that controlling benthivorous fish reduces its indirect and direct effects on submerged vegetation, facilitating the successful restoration of these plants.
A hollow void catalyst of Co@C(Z-d)@void@CeO2 for enhancing the performance and stability of the Fischer–Tropsch synthesis

To enhance the catalyst performance of Fischer–Tropsch synthesis (FTS), removing the mass-transfer restriction in the catalysis synthesis is essential. Although the core–shell nanostructures can improve the activity and stability of the catalyst, they can restrict the reactants' diffusion towards the active sites and the transfer of the products from these sites in FTS. Creating an adequate porosity between the core and the outer shell of the catalyst structure can tackle this issue. In this work, the synthesized cobalt-based nano-catalyst is encapsulated with two shells and a middle porous shell. The first shell is a carbon shell at the core of the catalyst derived from ZIF-67, the second one is the outer shell of ceria, and the middle porous shell is formed by removing the sacrificial silica shell through the etching technique. The characterization and performance tests represent significant evidence of the etching treatment's impact on the FTS catalyst performance. Besides, molecular dynamics simulation is also utilized to clarify its effect. The FTS catalytic performance is enhanced more than 2 times with the etched catalyst versus the catalyst without it at 17.5 bar and a (H2/CO) ratio of 1.2. In addition, not only does the etched catalyst with high porosity play the role of a nanoreactor and intensify its catalytic performance, but it also has higher stability.
Compounds and multi-word expressions in Finnish

Most of the processes to expand the vocabulary of a language are based on a recycling principle: Instead of creating not yet occupied arbitrary sound sequences for new concepts, existing lexemes or morphemes are reused as material for new words. This can happen by borrowing a word from some other language or by altering the meaning and thus shifting the extension of an existing word. Yet, these means are fairly unsystematic. Instead, a system of word-formation offers productive models for expanding the lexicon in an economic way, and it is actually the most common way it happens.1 Word-formation types such as (1a–f) are usually regarded as a domain of morphology:
Development of ankylosing spondylitis in patients with ulcerative colitis: A systematic meta-analysis

Background Ulcerative colitis (UC) is a manifestation of inflammatory bowel disease (IBD), which can cause inflammation of the intestinal tract. Ankylosing spondylitis (AS) is an inflammatory disease of the sacroiliac joints. Many studies have found that some UC patients progress to AS. In this study, we conducted a literature search and meta-analysis to investigate the prevalence of AS among UC patients during follow-up. Methods The studies related to the AS among patients with UC were obtained from PubMed, Web of Science, Embase, and Cochrane Library databases since its inception-December 2022. The literature was screened strictly according to inclusion and exclusion criteria. Forest plots were used to detect the overall incidence of AS in UC and to compare the risk ratios for the development of AS in the UC. The heterogeneity of studies was assessed using I2 statistical methods. Results 1) 17 studies with 98704 UC patients were included. 2)700 UC patients developed AS during follow-up (1.66%, 95% CI: 0.89–2.62%). Human leukocyte antigen B27 (HLA-B27) was reported in 3 studies. HLA-B27 positivity was significantly higher than the incidence of HLA-B27 negativity in AS patients (68.29% vs 31.71%, P < 0.0001). There was significantly increased risk of AS development in HLA-B27 positive IBD patients (RR: 22.17, 95% CI: 11.79–41.66, P < 0.0001). 3)The definite follow-up time was reported in 12 studies (range: 0.3–40 years). After follow-up for ≥5 years, the incidence of AS among patients with UC was 1.75% (95% CI: 0.62–3.37%). Meanwhile, after follow-up for <5 years, the incidence of AS among patients with UC was 1.41% (95% CI: 0.65–2.37%) which was significant. Conclusion Patients with UC are more likely to develop AS in the future. Furthermore, the IBD patients are at a higher risk of AS who have positive HLA-B27. The incidence of AS increased with longer follow-up time.
Antenatal care follow-up was significantly associated with a higher probability of high dietary diversity score among pregnant women in okra-producing areas of western Ethiopia: proportional odds model

Background Dietary diversity is important for pregnant women since it has been associated with nutrient adequacy. It is very crucial to ensure optimal fetal health and development. There is no evidence at the community level on the magnitude of dietary diversity and its predictors among pregnant women in okra-producing areas of western Ethiopia. Objective This study aimed to assess the level of dietary diversity and its associated factors among pregnant women. Design A community-based cross-sectional study was employed among randomly selected 224 pregnant women in western Ethiopia. An interviewer-administered questionnaire was used to collect the data. The qualitative open 24-h recall was used to assess the level of dietary diversity. Ordinal logistic regression analyses were used by SPSS version 25. An adjusted proportional odds ratio along with a 95% confidence interval [CI] was computed to measure the strengths of the association at a P ≤ 0.05. Result This study revealed that more than one-fourth, 64 (28.6%), of the respondents were found to have high dietary diversity scores. Antenatal Care [ANC] visits (Adjusted Odds Ratio [AOR] = 2.10, [95% CI: 1.13, 3.90], P = 0.01), changing food intake (AOR = 2.97, [95% CI: 1.16, 3.67], P = 0.002), and being food secure household (AOR = 2.63, [95% CI: 1.38, 5.00], P = 0.003) were significantly associated with a higher probability of having high dietary diversity score. However, lack of formal education (AOR = 0.34, [95% CI: 0.61, 0.89]) was inversely associated with the probability of having high dietary diversity. Conclusion More than half of pregnant women in western Ethiopia were found to have low dietary diversity. Therefore, ANC follow-up, dietary modification, and promotion of frequent use of wild edible plants (okra) to maintain household food security were very crucial.
Semantic Modeling of Places using Objects

While robot mapping has seen massive strides recently, higher level abstractions in map representation are still not widespread. Maps containing semantic concepts such as objects and labels are essential for many tasks in manmade environments as well as for human-robot interaction and map communication. In keeping with this aim, we present a model for places using objects as the basic unit of representation. Our model is a 3D extension of the constellation object model, popular in computer vision, in which the objects are modeled by their appearance and shape. The 3D location of each object is maintained in a coordinate frame local to the place. The individual object models are learned in a supervised manner using roughly segmented and labeled training images. Stereo range data is used to compute 3D locations of the objects. We use the Swendsen-Wang algorithm, a cluster MCMC method, to solve the correspondence problem between image features and objects during inference. We provide a technique for building panoramic place models from multiple views of a location. An algorithm for place recognition by comparing models is also provided. Results are presented in the form of place models inferred in an indoor environment.We envision the use of our place model as a building block towards a complete object-based semantic mapping system.
Huygens–Fresnel principle and Abbe formula

Abstract. The paper describes the approach for identification of the spatial bandwidth of an optical system in the lateral and axial directions. This approach considers application of Huygens–Fresnel principle to obtain the integral for calculation of amplitude distribution near a focal point. The replacement of integration variables leads to identification of the limits of integration in a space of spatial frequencies. These limits are the spatial cutoff frequencies for amplitude distribution. Doubling these values produces the spatial cutoff frequencies for intensity distribution, and it shows the same result as Abbe theory predicts. The proposed approach can be used for mathematical explanation why optical systems have limited spatial resolution and why the spatial harmonics with high frequencies cannot pass through optical systems. The analog of Abbe theory for axial direction is proposed. To identify the spatial bandwidth in axial direction, it has to consider the grating located in the plane with an optical axis and with slits perpendicular to this axis. Then it is possible to follow Abbe theory: to consider the diffraction on this grating, formation of a spatial spectrum, and a grating image with axial orientation in an image space.
Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Abstract The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) is a brain area subject to many theories and debates over its function(s). Even its precise anatomical borders are subject to much controversy. In the past decades, the dmPFC/dACC has been associated with more than 15 different cognitive processes, which sometimes appear quite unrelated (e.g. body perception, cognitive conflict). As a result, understanding what the dmPFC/dACC does has become a real challenge for many neuroscientists. Several theories of this brain area's function(s) have been developed, leading to successive and competitive publications bearing different models, which sometimes contradict each other. During the last two decades, the lively scientific exchanges around the dmPFC/dACC have promoted fruitful research in cognitive neuroscience. In this review, we provide an overview of the anatomy of the dmPFC/dACC, summarize the state of the art of functions that have been associated with this brain area and present the main theories aiming at explaining the dmPFC/dACC function(s). We explore the commonalities and the arguments between the different theories. Finally, we explain what can be learned from these debates for future investigations of the dmPFC/dACC and other brain regions' functions.
Unified semicompeting risks analysis of hepatitis natural history through mediation modeling

Natural history of hepatitis B or C is comprised of multiple milestones such as liver cirrhosis and liver cancer. To fully characterize its natural course, semicompeting risks represent a common problem where liver cirrhosis and liver cancer are both of interest, but only the former may be censored by the latter. Copula, frailty and multistate models serve as well‐established analytics for semicompeting risks. Here, we cast the semicompeting risks in a mediation framework, with liver cirrhosis as a mediator and liver cancer as an outcome. We define the indirect and direct effects as the effects of an exposure on the liver cancer incidence mediated and not mediated through liver cirrhosis, respectively. With the estimands derived as conditional probabilities, we derive respective expressions under the copula, frailty, and multistate models. Next, we propose estimators based on nonparametric maximum likelihood or U‐statistics and establish their asymptotic results. Numerical studies demonstrate that the efficiency of copula models leads to potential bias due to model misspecification. Moreover, the robustness of frailty models is accompanied by a loss in efficiency, and multistate models balance the efficiency and robustness. We demonstrate the utility of the proposed methods by a hepatitis study, showing that hepatitis B and C lead to a higher incidence of liver cancer by increasing liver cirrhosis incidence. Thus, mediation modeling provides a unified framework that accommodates various semicompeting risks models.
Turbulent structure in the transition from super- to subcritical flow without a hydraulic jump

ABSTRACT In spite of some progress in the study of the transition from super- to subcritical flow without a hydraulic jump, many issues remain unclear, particularly in relation to the turbulence structure and dissipative mechanisms in the transition region. This paper therefore is focused on the experimental investigation of the turbulence characteristics in the transition region from super- to subcritical flow without a hydraulic jump. Instantaneous velocities were measured using an acoustic Doppler velocimeter and mean velocities, turbulence intensities, and Reynolds stresses were computed for different geometrical and hydraulic conditions. The turbulence intensities and Reynolds stresses were found to decrease in the transition region downstream and then approach the levels of the fully-developed turbulent open channel flow. The length of this transitional region was found to be three to seven times the tailwater depth for the range of Froude numbers between 1.3 and 4.5. The obtained results imply that the transition is driven by the longitudinal deceleration of the flow in the transition region.
Perspective: Interface generation of spin-orbit torques

Most of the modern spintronics developments rely on the manipulation of magnetization states via electric currents, which started with the discovery of spin transfer torque effects 20 years ago. By now, it has been realized that spin-orbit coupling provides a particularly efficient pathway for generating spin torques from charge currents. At the same time, spin-orbit effects can be enhanced at interfaces, which opens up novel device concepts. Here, we discuss two examples of such interfacial spin-orbit torques, namely, systems with inherently two-dimensional materials and metallic bilayers with strong Rashba spin-orbit coupling at their interfaces. We show how ferromagnetic resonance excited by spin-orbit torques can provide information about the underlying mechanisms. In addition, this article provides a brief overview of recent developments with respect to interfacial spin-orbit torques and an outlook of still open questions.
Advances in the structural characterization of complexes of therapeutic antibodies with PD-1 or PD-L1

ABSTRACT Antibody-based immune checkpoint blockade (ICB)-based therapeutics have become effective clinical applications for cancers. Applications of monoclonal antibodies (mAbs) to de-activate the PD-1-PD-L1 pathway could effectively reverse the phenotype of depleted activated thymocytes (T cells) to recover their anti-tumoral activities. High-resolution structures of the complexes of the therapeutic monoclonal antibodies with PD-1 or PD-L1 have revealed the key inter-molecular interactions and provided valuable insights into the fundamental mechanisms by which these antibodies inhibit PD-L1-PD-1 binding. Each anti-PD-1 mAb exhibits a unique blockade mechanism, such as interference with large PD-1-PD-L1 contacting interfaces, steric hindrance by overlapping a small area of this site, or binding to an N-glycosylated site. In contrast, all therapeutic anti-PD-L1 mAbs bind to a similar area of PD-L1. Here, we summarized advances in the structural characterization of the complexes of commercial mAbs that target PD-1 or PD-L1. In particular, we focus on the unique characteristics of those mAb structures, epitopes, and blockade mechanisms. It is well known that the use of antibodies as anti-tumor drugs has increased recently and both PD-1 and PD-L1 have attracted substantial attention as target for antibodies derived from new technologies. By focusing on structural characterization, this review aims to aid the development of novel antibodies targeting PD-1 or PD-L1 in the future.
Time resource management of OAR based on fuzzy logic priority for multiple target tracking

: For coping with the multiple target tracking in the presence of complex time-varying environments and unknown target information, a time resource management scheme based on chance-constraint programming (CCP) employing fuzzy logic priority is proposed for opportunistic array radar (OAR). In this scheme, the total beam illuminating time is minimized by effective time resource allocation so that the desired tracking performance is achieved. Meanwhile, owing to the randomness of radar cross section (RCS), the CCP is used to balance tracking accuracy and time resource conditioned on the speci ﬁ ed con ﬁ dence level. The adaptive fuzzy logic prioritization, imitating the human decision-making process for ranking radar targets, can realize the full potential of radar. The Bayesian Cram´er-Rao lower bound (BCRLB) provides us with a low bound of localization estimation root-mean-square error (RMSE), and equally important, it can be calculated predic-tively. Consequently, it is employed as an optimization criterion for the time resource allocation scheme. The stochastic simulation is integrated into the genetic algorithm (GA) to compose a hybrid intelligent optimization algorithm to solve the CCP optimization problem. The simulation results show that the time resource is saved strikingly and the radar performance is also improved.
Research on AGV path tracking method based on global vision and reinforcement learning

As the key to the movement of automated guided vehicle (AGV), the design of control algorithm directly affects whether AGV can follow the preset path. Aiming at the difficulty of AGV control, an AGV path tracking control method based on global vision and reinforcement learning is proposed. Firstly, the global view is obtained by the visual sensor, and the position information of obstacles and AGV is obtained by the target detection algorithm. Secondly, the path planning algorithm is used to obtain the driving path information which is used to establish a virtual environment. Thirdly, the position and pose of the physical AGV are introduced into the virtual environment by the visual sensor, and the virtual AGV is reset. Finally, the image obtained by virtual vehicle camera is input into the reinforcement learning model and the output action is sent to the physical AGV for execution. In the experimental part, this method can not only plan the driving path in different environments but also well control AGV to drive along the specified path, which proves that this method has strong robustness and feasibility.
Genetic Modifiers of Age at Onset for Amyotrophic Lateral Sclerosis: A Genome‐Wide Association Study

Age at onset (AAO) is an essential clinical feature associated with disease progression and mortality in amyotrophic lateral sclerosis (ALS). Identification of genetic variants and environmental risk factors influencing AAO of ALS could help better understand the disease's biological mechanism and provide clinical guidance. However, most genetic studies focused on the risk of ALS, while the genetic background of AAO is less explored. This study aimed to identify genetic and environmental determinants for AAO of ALS.