Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Impact of COVID-19 Pandemic on the Intraday Efficiency of Agricultural Futures Markets

The investigation of the fractal nature of financial data has been growing in the literature. The purpose of this paper is to investigate the impact of the COVID-19 pandemic on the efficiency of agricultural futures markets by using multifractal detrended fluctuation analysis (MF-DFA). To better understand the relative changes in the efficiency of agriculture commodities due to the pandemic, we split the dataset into two equal periods of seven months, i.e., 1 August 2019 to 10 March 2020 and 11 March 2020 to 25 September 2020. We used the high-frequency data at 15 min intervals of cocoa, cotton, coffee, orange juice, soybean, and sugar. The findings reveal that the COVID-19 pandemic has great but varying impacts on the intraday multifractal properties of the selected agricultural future markets. In particular, the London sugar witnessed the lowest multifractality while orange juice exhibited the highest multifractality before the pandemic declaration. Cocoa became the most efficient while the cotton exhibited the minimum efficient pattern after the pandemic. Our findings show that the highest improvement is found in the market efficiency of orange juice. Furthermore, the behavior of these agriculture commodities shifted from a persistent to an antipersistent behavior after the pandemic. The information given by the detection of multifractality can be used to support investment and policy-making decisions.
On the attenuation of long gravity waves by short breaking waves

It is shown that when short wind-generated gravity waves lose energy by breaking (or other dissipative processes) near the crests of longer waves, the loss is supplied partly by the longer wave because of the second-order radiation-stress interaction. This process is discussed in detail analytically and also from energy considerations with use of the concept of radiation stress. The results are applied to the attenuation of swell by a local wind-generated wave field, and it is shown that the rate of decrease of the amplitude a" of the swell is constant and given by $\frac {da^{\prime\prime}}{dt} =- \frac {3\rho_a u_*^2 c }{2\rho _w c^{\prime\prime 2}},$ where ρa,ρw are the air and water densities, u* is the friction velocity of the wind in the interaction zone, and c", c are the phase velocities of the swell and the component of the locally generated field at the spectral maximum.
First record and new size record for the oceanic species Psenes sio (Actinopterygii: Scombriformes: Nomeidae) in the northern Gulf of California, Mexico

The biological information for many species of the family Nomeidae is scarce, given the difficulty of capturing these species in the oceanic environment. A specimen of the twospine driftfish, Psenes sio Haedrich, 1970, was collected in the northern Gulf of California with a bottom trawl net at the depth of more than 250 m. This specimen represents the northernmost record of this species to date, and provides valuable information on this fish, such as maximum weight and height recorded, vertical distribution and latitudinal range, in addition to meristic counts and body morphometry
Early and On-Ground Image-Based Detection of Poppy (Papaver rhoeas) in Wheat Using YOLO Architectures

Abstract Poppy (also common poppy or corn poppy; Papaver rhoeas L., PAPRH) is one of the most harmful weeds in winter cereals. Knowing the precise and accurate location of weeds is essential for developing effective site-specific weed management (SSWM) for optimized herbicide use. Among the available tools for weed mapping, deep learning (DL) is used for its accuracy and ability to work in complex scenarios. Crops represent intricate situations for weed detection, as crop residues, occlusion of weeds, or spectral similarities between crop and weed seedlings are frequent. Timely discrimination of weeds is needed, because postemergence herbicides are used just when weeds and crops are at an early growth stage. This study addressed P. rhoeas early detection in wheat (Triticum spp.) by comparing the performance of six DL-based object-detection models focused on the “You Only Look Once” (YOLO) architecture (v3 to v5) using proximal RGB images to train the models. The models were assessed using open-source software, and evaluation offered a range of results for quality of recognition of P. rhoeas as well as computational capacity during the inference process. Of all the models, YOLOv5s performed best in the testing phase (75.3%, 76.2%, and 77% for F1-score, mean average precision, and accuracy, respectively). These results indicated that under real field conditions, DL-based object-detection strategies can identify P. rhoeas at an early stage, providing accurate information for developing SSWM.
Association Between Coronary Artery Calcium Score and Bone Mineral Density in Type 2 Diabetes Mellitus with Different Visceral Fat Area

Purpose The relationship between coronary artery calcification and bone mineral density (BMD) in T2DM is still unclear. The aim of this study is to analyze the association between coronary artery calcium score (CACs) and BMD in T2DM with different visceral fat area (VFA), and further to explore the clinical significance of CACs in predicting osteoporosis in T2DM patients. Patients and Methods A total of 479 T2DM patients aged ≥50 years were included. Agatston was applied to calculate CACs to evaluate the degree of coronary artery calcification. Dual-energy X-ray absorptiometry (DXA) was used to measure BMD. According to VFA, all subjects were divided into VFA <100cm2 and VFA ≥100cm2 group. Adjusted regression analysis was performed to analyze the association between CACs and BMD. ROC curve was used to analyze the optimal cut-off value of CACs for screening osteoporosis. Results The baseline showed that in VFA ≥100cm2 group, CACs increased significantly than that in VFA <100cm2 group (212.1±195.9 vs 139.3±141.8, p<0.001) and total hip BMD decreased obviously (0.968±0.19 vs 1.021±0.184, p=0.01). After multivariable adjustment, CACs was not significantly associated with BMD in all patients (p>0.05). However, CACs was negatively associated with BMD of total hip and lumbar spine in patients with VFA ≥100cm2 (total hip β=−0.087 p=0.01; lumbar spine β=−0.052 p=0.005), but not VFA <100cm2. ROC curve analysis showed that the optimal cut-off value of CACs for screening osteoporosis was 191.505. Conclusion The present study implied that associations between CACs and BMD varied by the visceral fat deposition. It is critical to evaluate the condition of visceral fat accumulation for exploring the complex interplay of coronary artery calcification and BMD in T2DM patients. It may be of some clinical value for CACs in predicting osteoporosis in T2DM with visceral obesity.
Neural underpinnings of biological motion perception under attentional load

NEURAL UNDERPINNINGS OF BIOLOGICAL MOTION PERCEPTION UNDER ATTENTIONAL LOAD Hilal Nizamoğlu Çalışkan M.S. in Neuroscience Advisor: Burcu Ayşen Ürgen June 2022 Humans can detect and differentiate biological motion from non-biological motion stimuli effortlessly, even if the stimuli were shown as simplistic as a composition of moving dots (i.e. point-light displays [PLD]). Considering its survival and social significance, BM perception is assumed to occur automatically. Indeed, Thornton and Vuong [1] showed that task-irrelevant BM in the periphery interfered with task performance at the fovea. However, the neural underpinnings of this bottom-up processing of BM lacks thorough examination in the field. Under selective attention, BM perception is supported by a network of regions including the occipito-temporal, parietal, and premotor cortices. A retinotopy mapping study on BM showed distinct maps for its processing under and away from selective attention [2]. Based on these findings, we investigated how bottom-up perception of BM would be processed under attentional load when it was shown away from the focus of attention as a task-irrelevant stimulus. Participants (N=31) underwent an fMRI study in which they performed an attentionally demanding visual detection task at the fovea while intact or scrambled PLDs of BM were shown at the periphery. Our results showed the main effect of attentional load in fronto-parietal regions; as well as, the main effect of peripheral stimuli in occipito-temporal cortex. Both univariate and multivariate pattern analysis results support the attentional load modulation on BM. Lastly, ROI results on each core node of BM processing network expanded these findings by showing that the attentional load modulation on both intact and scrambled BM stimuli were the strongest in bilateral occipito-temporal regions as compared to parietal and premotor cortices. In conclusion, BM was processed within the motion sensitive regions in the occipito-temporal cortex when shown away from the selective attention, and was modulated by attentional load.
Validation of the Multi-Dimensional Student Perceptions of School Questionnaire (MSPSQ): Early findings and next steps

Research in Indigenous and non-Indigenous education in Australia over the last two decades has begun to turn towards quantitative methods of understanding various factors affecting student outcomes. The current article presents a new measurement instrument, the Multi-Dimensional Student Perceptions of School Questionnaire (MSPSQ), validated with a moderate-sized sample of secondary students in Western Australia (Indigenous: n = 244; non-Indigenous: n = 258; not stated: n = 34). The MSPSQ aimed to measure student perceptions of select experiences within the family, community and school which may factor in school engagement and beliefs regarding normative education behaviour and likely outcomes. Exploratory factor analysis indicated that the 46 scalar items in the MSPSQ adequately reflected 12 underlying constructs for the given sample. The MSPSQ was found to have robust total internal consistency (α = 0.85), as well as good measures of Cronbach’s alpha (α > 0.7) on six constructs of self-reported student experiences: Positive school culture, Student self-efficacy, Pathway development, Provision of study assistance, Family support, and Peer support. Five other constructs had moderate internal consistency (α > 0.6). These were Promotion of Indigenous culture, Access to a suitable study environment, Future aspirations, School importance, and Perceived benefit of education.
A Numerical Study of Insect Flight

A numerical modeling of insect flight is addressed. Unsteady aerodynamics around a flapping wing is studied by using a time accurate solution of the three-dimensional, incompressible, laminar Navier? Stokes equations. A moth's forewing and hindwing are modeled, which can mimic the three-dimensional movements of a realistic flapping wing. Validation of the method is first verified by two extensive numerical tests, which involve comparisons with the experimental and numerical results available. Results are then presented for a hawkmoth's wing undergoing hovering flight and discussed by comparing these with the smoke-visualized flows around a manmade flapper, which validates the computational model and demonstrates the feasibility of this numerical approach on analyzing fluid dynamics phenomena in insect flight.
Thermal Conductivity of Bismuth-Antimony Alloy Single Crystals

The absolute Seebeck coefficient, electrical resistivity, and thermoelectric figure of merit have simultaneously measured on Bi 97 Sb 3 and Bi 90 Sb 10 alloy single crystals of various orientations between 77°K and 300°K. Under the assumption of independent three valley bands for both the valence and conduction bands, the electronic thermal conductivities have been calculated. They are anisotropic and the larger values being those perpendicular to the trigonal axis. In the 3 at. % antimony alloy, the total thermal conductivities both parallel and perpendicular to the trigonal axis are practically constant ( K || =50±5 mW/cm·deg and K ⊥ =75±5 mW/cm·deg) between 77°K and 300°K. In the 10 at. % antimony alloy, each of them gradually increase with temperature. It seems that most of heat are transported by carriers in the studied temperature range in both alloys.
Bone Marrow Infiltration in Rosai–Dorfman Disease

Rosai–Dorfman disease (RDD) is a rare and benign nonLangerhans cell histiocytosis. RDD commonly affects children and young adults typically presenting with massive, painless, and bilateral cervical lymphadenopathy. Extranodal involvement is present in about 40% of cases, and bone marrow infiltration is rare and unusual. RDD prognosis is usually good, however, involvement of bone marrow is associated with poor prognosis. We report a case of RDD with bone marrow involvement occurring in a 5-year-old female. She was admitted for asthenia, gingival bleeding, and diffuse bone pain without fever. Physical examination showed pallor, petechiae over the abdomen, painless and bilateral cervical lymphadenopathy, and several bony nodules, without splenomegaly or hepatomegaly. Cell blood count revealed microcytic hypochromic anemia with thrombocytopenia. Bone marrow aspiration showed infiltration by large histiocytes with hypochromatic nuclei and abundant vacuolated cytoplasm without emperipolesis. Biopsies of bone marrow, lymph node, and bone revealed immunohistochemical features of RDD: the histiocytes were positive for CD68 and S100 protein, but negative for CD1a. The patient initially received symptomatic treatment. One week after admission, she died of septic shock before the final establishment of RDD diagnosis. This case report highlights that bone marrow involvement in RDD is rare and associated with poor prognosis. We also aim to emphasize the obligation of bone marrow exploration in patients with RDD and presenting cytopenias in order to make an early diagnosis of bone marrow infiltration.
n-type β-FeSi2/intrinsic-Si/p-type Si heterojunction photodiodes for near-infrared light detection at room temperature

n-Type β-FeSi2/intrinsic-Si/p-type Si heterojunctions, prepared by facing-targets direct-current sputtering, were evaluated as near-infrared photodetectors. The built-in potential was estimated to be approximately 1 V from capacitance-voltage characteristics. Diodes with a junction area of 0.03 mm2 exhibited a junction capacitance of 4.4 pF at zero bias. At room temperature, the devices exhibited responsivity of 140 mA/W and external quantum efficiency of 13% at a bias voltage of −5 V. The detectivity at zero bias was estimated to be 2.8×109 cm√Hz/W at the wavelength of 1.31 μm. These results indicate their high application potential as near-infrared photodiodes integrated with Si.
Mathematical Model for Evaluation of Tumor Response in Targeted Radionuclide Therapy with 211At Using Implanted Mouse Tumor

Recent introduction of alpha-emitting radionuclides in targeted radionuclide therapy has stimulated the development of new radiopharmaceuticals. Preclinical evaluation using an animal experiment with an implanted tumor model is frequently used to examine the efficiency of the treatment method and to predict the treatment response before clinical trials. Here, we propose a mathematical model for evaluation of the tumor response in an implanted tumor model and apply it to the data obtained from the previous experiment of 211At treatment in a thyroid cancer mouse model. The proposed model is based on the set of differential equations, describing the kinetics of radiopharmaceuticals, the tumor growth, and the treatment response. First, the tumor growth rate was estimated from the control data without injection of 211At. The kinetic behavior of the injected radionuclide was used to estimate the radiation dose profile to the target tumor, which can suppress the tumor growth in a dose-dependent manner. An additional two factors, including the time delay for the reduction of tumor volume and the impaired recovery of tumor regrowth after the treatment, were needed to simulate the temporal changes of tumor size after treatment. Finally, the parameters obtained from the simulated tumor growth curve were able to predict the tumor response in other experimental settings. The model can provide valuable information for planning the administration dose of radiopharmaceuticals in clinical trials, especially to determine the starting dose at which efficacy can be expected with a sufficient safety margin.
Midastar: Threshold Autoregression with Data Sampled at Mixed Frequencies

We propose Midastar models by combining the Mixed Data Sampling (MIDAS) and the threshold autoregression (TAR). The Midastar model of the (cid:12)rst kind is designed for a low frequency target variable and a high frequency threshold variable. The proposed model can detect threshold eﬀects accurately, while the aggregated TAR has a risk of (cid:12)nding spurious non-threshold eﬀects. The Midastar model of the (cid:12)rst kind has desired asymptotic and (cid:12)nite sample properties. We apply the proposed model to Japan’s COVID-19 data, detecting signi(cid:12)cant threshold eﬀects. We also propose and elaborate the Midastar model of the second kind designed for a high frequency target variable and a low frequency threshold variable.
On the Elliptic Inclusion in Anti-Plane Shear

In this paper, we consider the anti-plane shear problem of an elliptic inclusion embedded in an infinite, isotropic, elastic medium, subjected at infinity to a uniform stress field. Using complex variable methods and the theory of analytic functions, we prove that the state of deformation in the inclusion is a simple shear if and only if the curve enclosing the inclusion is an ellipse.
Controlled synthesis and electromagnetic performance of hollow microstructures assembled of tetragonal MnO2 nano-columns

Hollow microstructures assembled of tetragonal MnO2 nano-columns have been synthesized through a facile hydrothermal method with the introduction of iron ions. The obtained samples were characterized by XRD, SEM, and vector network analysis. Results reveal that the presence of Fe3+ ions leads to transformation of phase structure from α-MnO2 to a mixture of ɛ-MnO2 and α-MnO2, and it is essential to include Fe3+ ions for the formation of the hollow MnO2 microstructures. The formation mechanism was investigated and proposed in detail. Fe-doped MnO2 exhibits decreased dielectric loss, but increased magnetic loss compared with the pure one.
A Tauberian theorem for absolute summability

Let be the given infinite series with {sn} as the sequence of partial sums and let be the binomial coefficient of zn in the power series expansion of the function (l-z)-σ-1 |z| < 1. Now let, for β > – 1, converge for 0 ≤ x < 1. If fβ(x) → s as x → 1–, then we say that ∑an is summable (Aβ) to s. If, further, f(x) is a function of bounded variation in (0, 1), then ∑an is summable |Aβ| or absolutely summable (Aβ). We write this symbolically as {sn} ∈ |Aβ|. This method was first introduced by Borwein in (l) where he proves that for α > β > -1, (Aα) ⊂ (Aβ). Note that for β = 0, (Aβ) is the same as Abel method (A). Borwein (2) also introduced the (C, α, β) method as follows: Let α + β ╪ −1, −2, … Then the (C, α, β) mean is defined by
Stability of Banach Space Properties In The Projective Tensor Product

Let X be a real or complex Banach space and 1 < p < ∞. We show that L p [0, 1] ⊗ X has a property (P) whenever X has property (P), provided that (P) has certain characteristics. Examples of property (P) are the Radon-Nikodym property, the analytic Radon-Nikodym property, the near Radon-Nikodym property, the complete continuity property, the analytic complete continuity property, and the property of not containing a copy of c 0.
Fecal Microbiota Transplantation in Autism Spectrum Disorder

Abstract Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders that begin in infancy. In recent years, the incidence of ASD in the world is increasing year by year. At present, the etiology and pathogenesis of ASD are not clear, and effective treatments are still lacking. In addition to neurobehavioral symptoms, children with ASD often have obvious gastrointestinal symptoms. Gut microbiota is a large microbial community in the human gut, which is closely related to the nervous system and can affect brain development and behavior through the neuroendocrine, neuroimmune and autonomic nervous systems, forming a microbiota-gut-brain axis connection. Recent studies have shown that children with ASD have significant gut microbiota and metabolic disorders, and fecal microbiota transplantation (FMT) is expected to improve ASD-related symptoms by regulating gut microbiota and metabolism. This review paper will therefore focus on FMT in the treatment of ASD, and FMT is effective in improving gastrointestinal and neurobehavioral symptoms in children with ASD.
Knowledge, Attitude and Practice among Girls ’ in Schools towards Depression, Khamis Maushyt, the Governate of Aseer Region, 2015, Kingdom of Saudi Arabia

Background: Depression is an illness that involves the body, mind, and, thoughts that affect the way a person eats, sleep, feels about him/ her and thinks about things. Objectives: The study aimed to assess knowledge, attitude and practice among girls in schools toward Depression, King Saudi Arabia, Khamis Maushyt, the Governate of Aseer Region. Methods: Community based cross–sectional descriptive study was conducted in Khamis Mushayt School to identify knowledge, attitude and practice among girls towards depression. A total of 207 students (girls) were involved in the study. They were selected by using simple random sampling techniques. Data were collected through a questionnaire and analyzed using SPSS software version 20. Result: The study showed that 180 (87%) students knew what depression means, 151(72.9%) of study group did not feel depressed, while 79 (38.2%) of the study group sometimes felt lonely. In the study, 50 (24.2%) of students go to the physician when they feel depressed and 53 (25.6%) students in the study group think that depression has medical treatment while 109 (52.7%) of study group believed that depression might have other treatment such as Holy Qur’an. Conclusion: There is a need for a national intervention program to promote of adolescent mental health in schools. The program should include the screening of students using psychometric scales.
“Performing Emotions and Suffering” Recovery of Depressive Symptoms Involving Adolescent Intervention in Art and Dance Schools

8 Introduction: In previous studies, a large majority of dance students reported mental health issues, mainly eating disorders and depression. Aims: This project aimed to promote mental health and well-being as well as prevent maladaptive and risky behaviors – namely suicidal behavior – among adolescents who attend art and dance schools. It was implemented in sequential stages, including six moments of classroom intervention for adolescents. Methods: A quasi-experimental research design was applied, with two assessment moments (before and after the intervention) using questionnaires filled out by the adolescents. Results: The project was implemented in three art schools (Center and South of Portugal), and the sample consisted of 122 adolescents. 72.9% of our sample were girls aged 12–18 years ( M = 13.88; SD = 1.54). Boys showed significantly higher well-being scores ( M = 16.53; SD = 4.24 vs M = 14.67, SD = 4.17), and girls showed higher coping scores ( M = 153.3; SD = 13.53 vs M = 146.73; SD = 13.22). Concerning depressive symptoms, 34.8% of adolescents had moderate/severe depressive symptoms, which decreased by 10% after the intervention. Conclusions: Adolescents attending art schools might be more vulnerable to developing mental distress, and this intervention proved to be an effective approach for promoting mental health and well-being as well as preventing suicidal behaviors.