Miracle-dz/UniFAR-FTUs huggingface dataset:
Is there an epilepsy belt of high prevalence rate in China?

Background Epilepsy is one of the leading neurological diseases. Our study is aimed to determine whether there is a focal region of high epilepsy prevalence in China. Methods All studies published between 1981 and 2020 investigating the prevalence of epilepsy in China were systematically reviewed. The geographical location, sample size, number of cases, urbanization rate, gross domestic product (GDP) per capita, percentage of <15 years old, and medical insurance per capita were derived and analyzed. Criteria for a provincial region of high prevalence was defined as with higher epilepsy prevalence than the average prevalence of epilepsy in China. Results A total of 60 studies provided data on the prevalence of epilepsy in 29 of 33 provincial regions of China. The average prevalence in China was 1.68 per 1,000, and 12 provincial regions met our criteria for a region of high epilepsy prevalence and constitute an epilepsy belt ranging along the division between the second step and the third step of China. The prevalence in the epilepsy belt was 331.9 per 100,000 population compared with 125.3 per 100,000 in regions outside the belt (P < 0.05). Surprisingly, there was no significant difference in sample size, number of cases, urbanization rate, GDP per capita, percentage of <15 years old, or medical insurance per capita between the regions in and outside the epilepsy belt. Conclusions An epilepsy belt of high prevalence exists in 12 provincial regions locating along the division between the second step and the third step of China.
Spatial transcriptomics of the lacrimal gland features macrophage activity and epithelium metabolism as key alterations during chronic inflammation

The lacrimal gland (LG) is an exocrine gland that produces the watery part of the tear film that lubricates the ocular surface. Chronic inflammation, such as Sjögren’s syndrome (SS), is one of the leading causes of aqueous-deficiency dry eye (ADDE) disease worldwide. In this study we analyzed the chronic inflammation in the LGs of the NOD.B10Sn-H2b/J (NOD.H-2b) mice, a mouse model of SS, utilizing bulk RNAseq and Visium spatial gene expression. With Seurat we performed unsupervised clustering and analyzed the spatial cell distribution and gene expression changes in all cell clusters within the LG sections. Moreover, for the first time, we analyzed and validated specific pathways defined by bulk RNAseq using Visium technology to determine activation of these pathways within the LG sections. This analysis suggests that altered metabolism and the hallmarks of inflammatory responses from both epithelial and immune cells drive inflammation. The most significant pathway enriched in upregulated DEGs was the “TYROBP Causal Network”, that has not been described previously in SS. We also noted a significant decrease in lipid metabolism in the LG of the NOD.H-2b mice. Our data suggests that modulation of these pathways can provide a therapeutic strategy to treat ADDE.
The Density of a family of monogenic number fields

A monogenic polynomial $f$ is a monic irreducible polynomial with integer coefficients which produces a monogenic number field. For a given prime $q$, using the Chebotarev density theorem, we will show the density of primes $p$, such that $t^q-p$ is monogenic, is bigger or equal than $(q-1)/q$. We will also prove that, when $q=3$, the density of primes $p$, which $\mathbb{Q}(\sqrt[3]{p})$ is non-monogenic, is at least 1/9.
Probability and Uncertainty in Economic Modeling, Second Version

Economic modeling assumes, for the most part, that agents are Bayesian, that is, that they entertain probabilistic beliefs, objective or subjective, regarding any event in question. We argue that the formation of such beliefs calls for a deeper examination and for explicit modeling. Models of belief formation may enhance our understanding of the probabilistic beliefs when these exist, and may also help up characterize situations in which entertaining such beliefs is neither realistic nor necessarily rational.
P REDICTING OF URBAN EXPAN S ION U SING C ONVOLUTIONAL LSTM N ETWORK MODEL : T HE CASE OF SEOUL METROPOLI T AN AREA, KOREA

: As urbanization progresses, many studies about the analysis and prediction of land-use change and urban sprawl have been conducted recently. As the sprawl phenomenon progresses rapidly, the urban expansion phenomenon became uncontrolled and it has affected negatively on the city's environment and transportation finally. So, it is essential to identify lands likely to be urbanized in the future because it aids in establishing land use plans and policies pre-acting the negative impact of spatially urban expansion the sprawl by determining factors affecting the urban sprawl. Previous studies based on statistical models are limited to identifying determining factors, so the prediction performance is low compared to deep learning. On the other hand, existing studies using machine learning and deep learning overlook selecting specific region-focused variables. Therefore, this study aims to analyze and predict changes in the Seoul Metropolitan Area's sprawl in Korea using the Convolutional Long Short-Term Memory Network (ConvLSTM) with factors at the city scale and neighboring factors at the local scale in the Seoul Metropolitan Area (SMA). ConvLSTM is a type of combination model: combining Recurrent Neural Network(RNN) and Convolutional Neural Network(CNN). This study showed that ConvLSTM with factors at the city and neighboring factors at the local scale predicted the urbanized land. The determinants contain population and roads ratio at the city scale, and neighboring urban lands, distance to the nearest subway stations, slope, and elevation at the local scale. The results reveal that predicted urban lands in 2020 increase over the entire region. In particular, the expected urban lands in 2020 increase by reducing farmlands in the southern part of the SMA. It is consistent with the trend of urbanized lands from 1980 to 2010. In addition, urbanization occurs in areas adjacent to Seoul due to the well-established urban infrastructure. The results of this study can be used as evidence to establish sustainable land use plans and regulations in the future.
Interactive Segmentation of Textured Point Clouds

We present a method for the interactive segmentation of textured 3D point clouds. The problem is formulated as a minimum graph cut on a k-nearest neighbor graph and leverages the rich information contained in high-resolution photographs as the discriminative feature. We demonstrate that the achievable segmentation accuracy is signiﬁcantly improved compared to using an average color per point as in prior work. The method is designed to work efﬁciently on large datasets and yields results at interactive rates. This way, an interactive workﬂow can be realized in an immersive virtual environment, which supports the segmentation task by improved depth perception and the use of tracked 3D input devices. Our method enables to create high-quality segmentations of textured point clouds fast and conveniently.
Towards Perception and Usage of Social Networking Sites among Students in the Ghana Institute of Journalism.

This study explored the perceptions and usage of Social Networking Sites (SNS) among tertiary communication students. It speciﬁcally investigated students' perceptions about Social Media, their most preferred SNS and the uses of social media among students. This study sought to determine the relationship between perception of social media and frequency of use of social media among young communication students in the Ghana Institute of Journalism, Accra. Theories underpinning the study are the Social Community of Inquiry model, Cognitive Theory , and the Uses and Gratiﬁcation theory. The study adopted a Random Stratiﬁed sampling technique to respond to three hypothetical issues: 1. That Students' frequency in using social networking sites will not signiﬁcantly relate to their research and learning; 2. That there is no signiﬁcant relationship between frequency of using social networking sites and eﬀective advertising of goods and services; 3. That there is a signiﬁcant relationship between student perception of Social Networking Sites and frequency of use. The study revealed that students perceived social media as an interesting tool useful for research and learning and concluded that communication students enjoy using social media but the use of the platforms for learning is limited. SNS was also perceived as a relevant tool for advertising and stimulating sales. un outil pertinent pour la publicité et la stimulation des ventes.
An E�cient Real-Time Embedded Application Mapping For NoC Based Multiprocessor System on Chip

The evolution of the components embedded on a single chip is growing faster day by day, resulting in a considerable impact on the performance metrics and communication between the cores in the NoC architecture. So, to overcome such issues, it is important to provide an eﬃcient mapping between the cores, such that the communication between them increases. To improve the performance of a network, throughput and latency also play a signiﬁcant role. In this research paper, an eﬃcient mapping strategy implemented on the real-time embedded applications named ERTEAM. In this algorithm, based on the minimum Core Average Distance (CAD) the mapping region is ﬁnal-ized, ensuring the overall mapping area reduced. The PE’s mapped according to the minimum communication energy in the selected mapping region. This research evaluated a set of embedded applications, which reveals a reduction in latency at 12.3% against BBPCR and 8.4% against SBMAP. The simulation time reduces at an average of 19% against BBPCR and 9.6% against SBMAP. The throughput increases at an average of 14.5% against BBPCR and 7.8% against SBMAP and reduces the communication energy by 15.6% against BBPCR and 5.2% against SBMAP.
Journal Pre-proof promotes mouse ESC self-renewal and PGCLC specification through enhancement of Stat3 activity

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Influence of auditors’ behavior during organizational conflicts on the trust and cooperation established between internal and external auditors

Objective : To analyze the influence of auditors’ behavior during organizational conflicts on the trust and cooperation between internal and external auditors. Method : This descriptive and qualitative survey addressed a sample of 226 internal auditors and 267 external auditors working in Brazilian companies. Based on the factors generated by the factor analysis of the trust and cooperation elements, multiple linear regressions were performed considering the non-confrontation, solution-oriented, and control dimensions for the auditors’ attitudes toward organizational conflicts. Results show that internal and external auditors hold different perspectives on the factors guiding the decision on whether to trust and cooperate. Auditors are also influenced by age, sex, and position. As for their behavior when facing organizational conflicts, most internal and external auditors present attitudes directed toward solving conflicts. This profile positively influences trust and cooperation between internal and external auditors. Contributions : this study indicates the importance of identifying the profile of auditors and its impact on audit processes, contributing to decision-making in the governance field, to optimize the resources invested in the auditing process.
Calcium Phosphate-Based Biomaterials for Bone Repair

Traumatic, tumoral, and infectious bone defects are common in clinics, and create a big burden on patient’s families and society. Calcium phosphate (CaP)-based biomaterials have superior properties and have been widely used for bone defect repair, due to their similarities to the inorganic components of human bones. The biological performance of CaPs, as a determining factor for their applications, are dependent on their physicochemical properties. Hydroxyapatite (HAP) as the most thermally stable crystalline phase of CaP is mostly used in the form of ceramics or composites scaffolds with polymers. Nanostructured CaPs with large surface areas are suitable for drug/gene delivery systems. Additionally, CaP scaffolds with hierarchical nano-/microstructures have demonstrated excellent ability in promoting bone regeneration. This review focuses on the relationships and interactions between the physicochemical/biological properties of CaP biomaterials and their species, sizes, and morphologies in bone regeneration, including synthesis strategies, structure control, biological behavior, and the mechanisms of CaP in promoting osteogenesis. This review will be helpful for scientists and engineers to further understand CaP-based biomaterials (CaPs), and be useful in developing new high-performance biomaterials for bone repair.
The effect of local anesthetic solution volume applied in retrobulbar block in cataract surgery on the duration of anesthesia and patient comfort

Objective: To compare the use of 2 different local anesthetic solution (LAS) volumes of 1.5 mL and 3 mL in retrobulbar block in patients undergoing cataract surgery in terms of anesthesia, akinesia, and pain levels. Methods: 80 patients between 18-90 years old, ASA I-II-III, were included in the study. For retrobulbar anesthesia, 1.5 mL LAS was applied to one group (Group LV), and 3 mL LAS to the other group (Group HV). The patients’ ocular and eyelid motion scores were evaluated and recorded in the first, third, fifth, and tenth minutes after the block, and at 30-minute intervals for 4 hours post-operatively. One day later, the first hour of analgesic need and the number of times they took analgesic agents were asked and recorded. In addition, side effects were questioned and recorded. Results: The 39 (48.75%) patients were male and 41 (51.25%) patients were female. The criteria determined in terms of ocular motor score after the retrobulbar block (ocular motor score ≤ 4) were met in 92.5% of patients in Group LV in all patients in Group HV, and the time to fulfill the determined criteria in Group HV was found to be significantly lower compared to Group LV (p=0.004). The movements of the eye in all direction except the inward movement recovered in Group LV in a significantly shorter time than Group HV (p=0.004). There was no significant difference in pain levels and side effects between the groups (p=0.34). Conclusions: After 1.5 mL LAS administration in retrobulbar block, adequate akinesia was not achieved in about one tenth of patients, but no significant difference was found between 1.5 mL and 3 mL LAS volumes in analgesic efficacy and side effects.
Unbiased Caustics Rendering Guided by Representative Specular Paths

Caustics are interesting patterns caused by the light being focused when reflecting off glossy materials. Rendering them in computer graphics is still challenging: they correspond to high luminous intensity focused over a small area. Finding the paths that contribute to this small area is difficult, and even more difficult when using camera-based path tracing instead of bidirectional approaches. Recent improvements in path guiding are still unable to compute efficiently the light paths that contribute to a caustic. In this paper, we present a novel path guiding approach to enable reliable rendering of caustics. Our approach relies on computing representative specular paths, then extending them using a chain of spherical Gaussians. We use these extended paths to estimate the incident radiance distribution and guide path tracing. We combine this approach with several practical strategies, such as spatial reusing and parallax-aware representation for arbitrarily curved reflectors. Our path-guided algorithm using extended specular paths outperforms current state-of-the-art methods and handles multiple bounces of light and a variety of scenes.
Nonlinear Thermal Expansion Model for SiC/Al M

— The thermal expansion behaviour of silicon carbide (SCS-2) fibre reinforced 6061 aluminium matrix composite subjected to the influenced thermal mechanical cycling (TMC) process were investigated. The thermal stress has important effect on the longitudinal thermal expansion coefficient of the composites. The present paper used experimental data of the thermal expansion behaviour of a SiC/Al composite for temperatures up to 370 (cid:1) , in which their data was used for carrying out modelling of theoretical predictions.
On solvability and numerical solutions of parameter-dependent differential matrix inequality

This paper considers the solvability condition and numerical algorithm for parameter-dependent differential affine matrix inequality. When the coefficient and solution matrices are assumed to be in a trigonometric polynomial form of the fixed order, the necessary and sufficient solvability condition is given in terms of linear matrix inequalities. The result is based on a simple idea making use of the positive real lemma to preserve positivity on an interval. Multidimensional parameter cases are also discussed.
Amplification of Superconducting Fluctuations in Driven YBa 2 Cu 3 O 6+ x

In cuprate high- T c superconductors, resonant excitation of certain lattice vibrations has been shown to induce transient terahertz reflectivity features suggestive of nonequilibrium superconductivity above the critical temperature T c . A microscopic mechanism for these observations is still lacking. Here, time-resolved measurements of scattering-angle- and polarization-dependent second-harmonic generation in driven YBa 2 Cu 3 O 6 þ x reveal a three-order-of-magnitude amplification of a 2.5-THz electronic mode, which is unique because of its symmetry, momentum, and temperature dependence. A theory for amplification of finite-momentum Josephson plasma polaritons, which are assumed to be well formed below T c but incoherent throughout the pseudogap phase, explains all these observations. A theoretical solution for the Fresnel-Floquet reflection that starts from the coherently oscillating Josephson plasma polaritons provides a possible mechanism for the nonequilibrium superconductorlike terahertz reflectivity reported earlier. Beyond the immediate case of cuprates, this work underscores the role of nonlinear mode mixing to amplify fluctuating modes above the transition temperature in a wide range of materials. DOI:
The Effect of Physiotherapy Interventions in the Workplace through Active Micro-Break Activities for Employees with Standing and Sedentary Work

Workers worldwide experience a range of occupational musculoskeletal disorders that affect both the functionality of many parts of their body and their overall performance. Physiotherapists provide counseling and treatment programs during work. Recently, physiotherapy interventions have been introduced during work breaks. This study aimed to investigate the value of different types of workplace-based exercise programs administered during work breaks and compare them with counseling methods. Electronic searches were performed in relevant databases by keywords such as: workplace, musculoskeletal disorders, sedentary, standing, employees, micro-breaks, exercise interventions, and ergonomics. Initially, 706 articles were identified. An article sorting procedure was employed by two independent researchers, based on the inclusion and exclusion criteria set for this study, and after the removal of non-relevant articles (n = 391) or duplicates (n = 300), 15 randomized controlled trials (RCTs) remained for qualitative analysis. The methodological quality of the 13 RCTs was performed using the PEDro scale. No risk of bias evaluation was made. The findings suggested that active micro-breaks that contained various exercise programs including stretching, strengthening, torso stabilization, and ergonomic interventions were more beneficial than passive micro-breaks, reducing pain and the feeling of fatigue and increasing employees’ mood. It is concluded that micro-breaks are beneficial to employees with either orthostatic or sedentary work.
Simultaneous Integrated Boost Plan Comparison between Volumetric Modulated Arc Therapy (VMAT) and Intensity Modulated Radiation Therapy (IMRT) for Prostate, Seminal vesicle and Lymph Node Irradiation

Objectives: We performed a planning study to evaluate the dosimetric differences between Volumetric Modulated Arc Therapy (VMAT) and Intensity Modulated Radiation Therapy (IMRT) using simultaneous Integrated Boost (SIB) for prostate cancer cases. Methods: 20 prostate cancer patients scheduled for SIB-VMAT treatment on the Halcyon TM 2.0 linear accelerator were recruited for this study and SIB-IMRT plans were generated for comparison purpose. The pelvic lymph nodes (PTV46), the seminal vesicle (PTV50), and the prostate (PTV60) were simultaneously treated to 46 Gy 50 Gy, and 60 Gy delivered in 20 fractions respectively. Results: SIB-VMAT was better due to its higher (1.41%) CI, lower (2.7%) HI, and lower (26%) GI than SIB-IMRT for PTV60. For PTV50, a higher (7.3%) CI, lower (48%) HI, and a lower (31.73%) GI for SIB-VMAT compared to SIB-IMRT. Also, for PTV46, a higher (9.4%) CI, lower (2.5%) HI, and a lower (16.4%) GI were achieved by SIB-VMAT compared to SIB-IMRT. Conclusion: Better conformal and slightly similar homogeneous dose distribution were noticed in SIB-VMAT plans compared to SIB-IMRT plans. However, SIB-IMRT provided better OARs sparing of the bladder and the femoral heads while SIB-VMAT had better sparing for rectum.
Degree spectra of relations on computable structures in the presence of Δ20 isomorphisms

Abstract We give some new examples of possible degree spectra of invariant relations on Δ20-categorical computable structures, which demonstrate that such spectra can be fairly complicated. On the other hand, we show that there are nontrivial restrictions on the sets of degrees that can be realized as degree spectra of such relations. In particular, we give a sufficient condition for a relation to have infinite degree spectrum that implies that every invariant computable relation on a Δ20-categorical computable structure is either intrinsically computable or has infinite degree spectrum. This condition also allows us to use the proof of a result of Moses [23] to establish the same result for computable relations on computable linear orderings. We also place our results in the context of the study of what types of degree-theoretic constructions can be carried out within the degree spectrum of a relation on a computable structure, given some restrictions on the relation or the structure. From this point of view we consider the cases of Δ20-categorical structures, linear orderings, and 1-decidable structures, in the last case using the proof of a result of Ash and Nerode [3] to extend results of Harizanov [14].