Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial-Temporal Attention Graph Convolution Network on Edge Cloud for Traffic Flow Prediction

Accurate short-term traffic flow prediction plays an important role in providing road condition information in the immediate future. With the information, intelligent vehicles can plan and adjust the route to prevent congestion. As a result, many models for short-term traffic flow forecasting have been proposed to date. However, most of them focus on the prediction of the entire traffic network, which could lead to several problems: (1) the entire traffic network could have a large scale and a complex structure, for which the model training is likely to be time-consuming as well as inefficient; (2) processing a large amount of training data on the central cloud could cause much calculation pressure on the server and increase the risk of privacy leakage. In this paper, we propose a Spatial-Temporal Attention Graph Convolution Network on Edge Cloud model (STAGCN-EC). We first divide the entire traffic network into several parts to reduce its scale and complexity. Then, we allocate each part of the network to a certain Roadside Unit (RSU) for training, thus there is no need to process all data on the central server. Besides, we utilize spatial-temporal attention and features extracting module that fits the low computational power devices like RSUs, to capture spatial-temporal dependence and predict traffic flow. At last, we use two highway datasets from District 7 and District 4 in California to validate our model. Through the experiments, we find out that our model performs well both in predicted precision and efficiency compared with the five baseline methods.
How do culture and religion interact worldwide? A cultural match approach to understanding religiosity and well-being in the Many Analysts Religion Project

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The Influence of Financial Literacy on Financial Inclusion: Social Capital as Mediating Variable

This study aims to examine how financial literacy affects financial inclusion through social capital mediation. This study uses 150 respondents who have experience, in the investment field in the Indonesian capital market. The independent variable in this study is financial literacy, using four dimensions: skill, behavior, knowledge, and attitude. The mediating variable is social capital using four dimensions (i.e., trust, bonding & bridging, and collective action). At the same time, the dependent variable in this study is financial inclusion, which has four dimensions (i.e., access, quality, usage, and welfare). The result of this research is that social capital has a significant positive effect on financial literacy and financial inclusion, but in this study, social capital has a partial mediating effect. The higher a person's financial literacy, the higher the social capital that person has. The higher a person's financial literacy, the higher the financial inclusion that person has. Our study result states that the higher a person’s financial literacy, the higher the person’s social capital. Besides, the higher a person’s financial literacy, the higher the financial inclusion.
A Log-Det Heuristics for Covariance Matrix Estimation: The Analytic Setup

This paper studies a new nonconvex optimization problem aimed at recovering high-dimensional covariance matrices with a low rank plus sparse structure. The objective is composed of a smooth nonconvex loss and a nonsmooth composite penalty. A number of structural analytic properties of the new heuristics are presented and proven, thus providing the necessary framework for further investigating the statistical applications. In particular, the first and the second derivative of the smooth loss are obtained, its local convexity range is derived, and the Lipschitzianity of its gradient is shown. This opens the path to solve the described problem via a proximal gradient algorithm.
Modeling the Impact of Vaccination on COVID-19 and Its Delta and Omicron Variants

Vaccination is an important means to fight against the spread of the SARS-CoV-2 virus and its variants. In this work, we propose a general susceptible-vaccinated-exposed-infected-hospitalized-removed (SVEIHR) model and derive its basic and effective reproduction numbers. We set Hong Kong as an example and calculate conditions of herd immunity for multiple vaccines and disease variants. The model shows how the number of confirmed COVID-19 cases in Hong Kong during the second and third waves of the COVID-19 pandemic would have been reduced if vaccination were available then. We then investigate the relationships between various model parameters and the cumulative number of hospitalized COVID-19 cases in Hong Kong for the ancestral, Delta, and Omicron strains. Numerical results demonstrate that the static herd immunity threshold corresponds to one percent of the population requiring hospitalization or isolation at some point in time. We also demonstrate that when the vaccination rate is high, the initial proportion of vaccinated individuals can be lowered while still maintaining the same proportion of cumulative hospitalized/isolated individuals.
Comparison between direct and indirect protocols of aerobic fitness evaluation in physically active individuals

The individual anaerobic threshold (IAT), individual glucose threshold (IGT), critical velocity (CV), and the velocity associated to VO 2max (Vmax) and to 3,000 m running performance (Vm3km) have been used for the aerobic evaluation and exercise prescription in runners. However, a comparison of these variables and their usefulness for physically active non-athlete individuals were not investigated yet. The objectives of this study were to compare and to verify the relationship between Vmax, Vm3km, CV, IAT and IGT in physically active non-athlete individuals. Eleven healthy and physically active individuals (20.7 ± 1.8 yr., 74.2 ± 14.5 kg, 48.9 ± 5.8 mlO 2 .kg.min-1), randomly accomplished to the following running tests on different days: 1) 3,000 m performance for Vm3km; 2) an all-out 500 m running track and 3) an incremental treadmill test for IAT, IGT, VO 2max and Vmax determination. The CV was determined by linear regression (distance-time relation) by using the 3,000 m and 500 m running tests. The running velocities corresponding to IAT, IGT, Vmax, Vm3km and CV were 184.8 ± 27.7; 182.8 ± 27.9; 211.1 ± 30; 213.4 ± 32.2 and 199.8 ± 30.4 m.min-1, respectively. Despite the high correlation between the parameters studied, the CV overestimated the IAT and IGT (P 0.05). We concluded that the Vm3km can be used for Vmax estimation and that CV identification on track may be useful for aerobic evaluation as well as for delimiting the high to severe exercise intensity domains. However, the CV does not seem be a good estimation of anaerobic threshold for physically active individuals.
Response Mechanisms of “Hass” Avocado to Sequential 1–methylcyclopropene Applications at Different Maturity Stages during Cold Storage

1–Methylcyclopropene (1–MCP) is used for extending the postharvest life of the avocado during storage. Evaluated the effect of 1–MCP application at different times after harvest, i.e., 0, 7, 14, and 21 d at 5 °C, to identify the threshold of the ethylene inhibition response in “Hass” avocado. Our results showed that fruits from two maturity stages at harvest: low dry matter (20–23%) and high dry matter (27%). Changes in ethylene production rates and transcript accumulation of genes involved in ethylene metabolism were measured at harvest and during storage. 1–MCP treated fruit up to 14 d of storage showed similar values of firmness and skin color as fruit treated at harvest time. In contrast, when the application was performed after 21 d, the fruit showed ripening attributes similar to those of the untreated ones. To further understand the molecular mechanisms responsible for the lack of response to 1–MCP at 21 d of storage, transcriptomic analysis was performed. Gene ontology analyses based on the DEG analysis showed enrichment of transcripts involved in the ‘response to ethylene’ for both maturity stages. All genes evaluated showed similar expression profiles induced by cold storage time, with a peak at 21 d of storage and an increased softening of the fruit and peel color. This was a two-year field study, and results were consistent across the two experimental years. Our results should help growers and markets in selecting the optimal timing of 1–MCP application in “Hass” avocados and should contribute to a deeper understanding of the molecular mechanisms of the avocado ripening process.
CORRELATION BETWEEN SYMPTOMS AND REFLUX IN PATIENTS WITH GASTROESOPHAGEAL REFLUX DISEASE.

BACKGROUND Esophageal symptoms of gastroesophageal reflux are the same in functional heartburn, non-erosive disease, and erosive disease. Their patient-perceived intensity may be related to gastroesophageal reflux intensity. OBJECTIVE To evaluate whether the symptoms in GERD patients are related to the intensity of gastroesophageal acid reflux. METHODS To test this hypothesis, 68 patients with heartburn (18 with functional heartburn, 28 with non-erosive reflux disease, and 22 with erosive reflux disease) had their symptoms evaluated by the Velanovich score (which mainly focuses on heartburn) and the Eating Assessment Tool (EAT-10) (which focuses on dysphagia). They were submitted to esophageal endoscopy and then, on another day, they answered the Velanovich and EAT-10 questionnaires and underwent manometry and 24-hour pHmetry (measured 5 cm proximal to the upper border of the lower esophageal sphincter). RESULTS The Velanovich score was higher in patients with non-erosive and erosive diseases than in those with functional heartburn. The mean EAT-10 score did not differ between functional heartburn, erosive, and non-erosive gastroesophageal reflux disease. Considering the threshold of ≥5 to define dysphagia, 4 (22%) patients with functional heartburn, 12 (43%) with non-erosive disease, and 9 (41%) with erosive disease had dysphagia (P=0.18). There was: a) a moderate correlation between the Velanovich and DeMeester score and between Velanovich score and the percentage of acid exposure time (AET); b) a weak correlation between EAT-10 and DeMeester score and between EAT-10 and acid exposure time. CONCLUSION There is a moderate positive correlation between heartburn and gastroesophageal reflux measurement. Dysphagia has a weak positive correlation with reflux measurement.
Activation of the Ventrolateral Preoptic Neurons Projecting to the Perifornical-Hypothalamic Area Promotes Sleep: DREADD Activation in Wild-Type Rats

The ventrolateral preoptic area (VLPO) predominantly contains sleep-active neurons and is involved in sleep regulation. The perifornical-hypothalamic area (PF-HA) is a wake-regulatory region and predominantly contains wake-active neurons. VLPO GABAergic/galaninergic neurons project to the PF-HA. Previously, the specific contribution of VLPO neurons projecting to the PF-HA (VLPO > PF-HAPRJ) in sleep regulation in rats could not be investigated due to the lack of tools that could selectively target these neurons. We determined the contribution of VLPO > PF-HAPRJ neurons in sleep regulation by selectively activating them using designer receptors exclusively activated by designer drugs (DREADDs) in wild-type Fischer-344 rats. We used a combination of two viral vectors to retrogradely deliver the Cre-recombinase gene, specifically, in VLPO > PF-HA neurons, and further express hM3Dq in those neurons to selectively activate them for delineating their specific contributions to sleep–wake functions. Compared to the control, in DREADD rats, clozapine-N-oxide (CNO) significantly increased fos-expression, a marker of neuronal activation, in VLPO > PF-HAPRJ neurons (2% vs. 20%, p < 0.01) during the dark phase. CNO treatment also increased nonREM sleep (27% vs. 40%, p < 0.01) during the first 3 h of the dark phase, when rats are typically awake, and after exposure to the novel environment (55% vs. 65%; p < 0.01), which induces acute arousal during the light phase. These results support a hypothesis that VLPO > PF-HAPRJ neurons constitute a critical component of the hypothalamic sleep–wake regulatory circuitry and promote sleep by suppressing wake-active PF-HA neurons.
Experimental study of reinforced concrete beams reinforced with hybrid spiral-hooked end steel fibres under static and impact loads

Discrete short steel fibres were proposed to be mixed with concrete for arresting cracks and enhancing the post-cracking resistance. It has been proven in previous tests that spiral steel fibres possessed markedly higher bonding to concrete matrix, leading to significantly improved performance of steel fibre reinforced concrete (SFRC) in terms of crack controllability, impact resistance, deformability and energy absorption capability. However, at the initial stage of cracking, SFRC reinforced with spiral fibres has relatively lower resistance to crack opening as compared to that reinforced with other types of steel fibres because of spiral shape stretching. To overcome this shortcoming, in the present study, short hooked-end steel fibres that exhibit high pull-out resistance at the crack initiation stage were mixed with spiral steel fibres in the normal-strength concrete matrix. A total volume fraction of 1% of hybrid steel fibres was mixed to cast SFRC specimens. With various mix ratios between spiral and hooked-end fibres considered, five batches of SFRC specimens were tested. Uniaxial compressive tests and four-point bending tests were carried out to compare the mechanical properties of SFRC materials with hybrid fibres while three-point bending tests on SFRC structural beams under static, drop-weight impact and post-impact static loading tests were conducted to investigate the structural performances. An equal dosage of hooked-end and spiral fibres was found to outperform other blend proportions to provide synergetic reinforcement to concrete matrix in terms of post-cracking resistance, energy absorption capacity and post-impact performance.
Assessment of some sesame mutants under normal and water-stress conditions

ABSTRACT Sesame (Sesamum indicum L.) is a tropical oilseed crop that is also cultivated in arid and semi-arid environments, where drought occurs frequently. The objective of this study was to assess the performance of some sesame mutants, developed by our team through EMS-mutagenesis in 2020, under well-watered conditions and restricted irrigation by analyzing certain morphological, physiological, and agronomic attributes. The experiment was conducted in pots under field conditions according to a completely randomized design with three replications. The stress was simulated by suspending and reducing irrigation to 50% of the control, from the beginning of flowering until the appearance of the first capsule. The results showed variation attributable to genotypes, water regimes and their interaction was significant for all parameters studied, except the number of seeds per capsule. The mutants “ML2-5”, “ML2-72” and “ML2-37” were found to be the most tolerant to drought, exhibiting lowest stress sensitivity index and highest seed yield were associated with higher proline content in the leaves, more developed root system, higher chlorophyll content, and higher stomatal conductance than the rest of the mutants studied. This is the first report of sesame mutant lines with such high tolerance to drought during flowering. They could be used for developing high-performing cultivars with tolerance to drought during the flowering stage. The number of capsules per plant and stomatal conductance can be considered selection criteria to improve water-stress tolerance in sesame.
A Step Toward the Exploration of Better Spirometric Parameters for Early Diagnosis of Pulmonary Dysfunction in Persons With Type 2 Diabetes Mellitus

Objectives: This study aims to determine the forced vital capacity (FVC) and slow vital capacity (SVC) along with other pulmonary functions in Indian diabetic patients for early diagnosis of pulmonary function reduction and to compare the ratios of forced expiratory volume in one second (FEV1) with FVC and SVC (FEV1/FVC and FEV1/SVC) in diabetic patients. Materials and methods: A prospective observational study was carried out in the physiology department for two years after the approval of the institutional ethics committee. The study included 90 type 2 diabetes mellitus patients previously diagnosed by the physician and 90 age and sex-matched controls for spirometric tests. Medspiror having Helios 401 software (Recorders & Medicare Systems Pvt. Ltd., Panchkula, India) was used to assess the pulmonary function in all subjects. A comparison of dynamic pulmonary function parameters among non-diabetic and diabetic groups and non-obese vs. overweight/obese individuals of the diabetic group has been done. FEV1/FVC ratio vs. FEV1/SVC ratio comparison was conducted between the non-obese vs. the overweight/obese group in diabetic patients. Results: A significant variation in FEV1 and FVC was observed in the type 2 diabetic group as compared to the non-diabetic group. However, in the case of type 2 diabetic subjects, FEV1/FVC ratio was almost constant in both BMI groups, whereas the FEV1/SVC ratio increased in the overweight/obese group. Conclusion: Type 2 diabetes mellitus accounts for a predictive factor for worsening pulmonary function. SVC, particularly the FEV1/SVC ratio, can be an earlier diagnostic marker for pulmonary dysfunction in diabetic subjects as this ratio changes even with a constant FEV1/FVC ratio.
Image Fusion and Axial Labeling of the Spine

In order to improve radiological diagnosis of back pain and spine disease, two new algorithms have been developed to aid the 75% of Canadians who will suffer from back pain in a given year. With the associated medical imaging required for many of these patients, there is a potential for improvement in both patient care and healthcare economics by increasing the accuracy and efficiency of spine diagnosis. A real-time spine image fusion system and an automatic vertebra/disc labeling system have been developed to address this. Both magnetic resonance (MR) images and computed tomography (CT) images are often acquired for patients. The MR image highlights soft tissue detail while the CT image highlights bone detail. It is desirable to present both modalities on a single fused image containing the clinically relevant detail. The fusion problem was encoded in an energy functional balancing three competing goals for the fused image: 1) similarity to the MR image, 2) similarity to the CT image and 3) smoothness (containing natural transitions). Graph-Cut and convex solutions have been developed. They have similar performance to each other and outperform other fusion methods from recent literature. The convex solution has real-time performance on modern graphics processing units, allowing for interactive control of the fused image. Clinical validation has been conducted on the convex solution based on 15 patient images. The fused images have been shown to increase confidence of diagnosis compared to unregistered MR and CT images, with no change in time for diagnosis based on readings from 5 radiologists. Spinal vertebrae serve as a reference for the location of surrounding tissues, but vertebrae have a very similar appearance to each other, making it time consume for radiologist to keep track of their locations. To automate this, an axial MR labeling algorithm was developed that runs in near real-time. Probability product kernels and fast integral images combined with simple geometric rules were used to classify pixels, slices and vertebrae. Evaluation was conducted on 32 lumbar spine images and 24 cervical spine images. The algorithm demonstrated 99% and 79% accuracy on the lumbar and cervical spine respectively.
Comparative Transcriptome Analysis Reveals Differential Gene Expression in Resistant and Susceptible Watermelon Varieties in Response to Meloidogyne incognita

M. incognita is a major parasitic plant disease in watermelon production, causing serious economic losses. Although there are many studies on root-knot nematode, the resistance mechanism is still unclear. In this study, in order to fully understand the mechanism of watermelon resistance to root-knot nematode, the relatively strongly resistant ‘Hongzi watermelon’ variety and the susceptible ‘M16’ watermelon variety were used as materials, combined with RNA sequencing (RNA-seq), to analyze the expression abundance of resistant and susceptible varieties at 0, 2, 8 and 15 days post-infection (DPI) by M. incognita. The number of differentially expressed genes (DEGs) in the four comparison groups (A0_B0, A1_B1, A2_B2 and A3_B3) was 3645, 2306, 4449 and 2362, respectively, and there were 835 shared DEGs among them. GO annotation and KEGG pathway enrichment analysis showed that 835 DEGs were mainly involved in phenylpropane biosynthesis and carbon metabolism. Furthermore, lignin-biosynthesis-related genes (4CL (4-coumaric acid-CoA ligase), C3H (coumaric acid 3-hydroxylase), CSE (caffeoyl shikimate esterase), COMT (caffeic acid-O-methyltransferase), CCR (cinnamyl CoA reductase) and PRX (peroxidase)), defense-related proteins (UDP-glucoronosyl/UDP-glucosyl transferase, UGT84A13; salicylic acid binding protein, SABP2) and some transcription factors (TFs) were highlighted, which may be potential candidate genes for further analysis in the infection process of M. incognita. These results suggest that watermelon can achieve resistance to M. incognita by increasing the content of lignin and phenols in root or improving ROS level. These RNA-seq data provide new knowledge for future functional studies and will be helpful to further elucidate the molecular mechanism of resistance to M. incognita in watermelon.