Miracle-dz/UniFAR-FTUs huggingface dataset:
Reed-Solomon Coding Algorithms Based on Reed-Muller Transform for Any Number of Parities

Based on the Reed-Muller (RM) transform, this paper proposes a Reed-Solomon (RS) encoding/erasure decoding algorithm for any number of parities. Specifically, we first generalize the previous RM-based syndrome calculation, which allows only up to seven parities, to support any number of parities. Then we propose a general encoding/erasure decoding algorithm. The proposed encoding algorithm eliminates the operations in solving linear equations, and this improves the computational efficiency of existing RM-based RS algorithms. In terms of erasure decoding, this paper employs the generalized RM-based syndrome calculation and lower–upper (LU) decomposition to accelerate the computational efficiency. Analysis shows that the proposed encoding/erasure decoding algorithm approaches the complexity of <inline-formula><tex-math notation="LaTeX">$\lfloor \lg T \rfloor + 1$</tex-math><alternatives><mml:math><mml:mrow><mml:mo>⌊</mml:mo><mml:mo form="prefix">lg</mml:mo><mml:mi>T</mml:mi><mml:mo>⌋</mml:mo><mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:math><inline-graphic xlink:href="yu-ieq1-3262922.gif"/></alternatives></inline-formula> XORs per data bit with <inline-formula><tex-math notation="LaTeX">$N$</tex-math><alternatives><mml:math><mml:mi>N</mml:mi></mml:math><inline-graphic xlink:href="yu-ieq2-3262922.gif"/></alternatives></inline-formula> increasing, where <inline-formula><tex-math notation="LaTeX">$T$</tex-math><alternatives><mml:math><mml:mi>T</mml:mi></mml:math><inline-graphic xlink:href="yu-ieq3-3262922.gif"/></alternatives></inline-formula> and <inline-formula><tex-math notation="LaTeX">$N$</tex-math><alternatives><mml:math><mml:mi>N</mml:mi></mml:math><inline-graphic xlink:href="yu-ieq4-3262922.gif"/></alternatives></inline-formula> denote the number of parities and codeword length respectively. To highlight the advantage of the proposed RM-based algorithms, the implementations with Single Instruction Multiple Data (SIMD) technology are provided. Simulation results show that the proposed algorithms are competitive, as compared with other cutting-edge implementations.
The ℓ∞/p$$ {\ell}_{\infty /p} $$ ‐gains for discrete‐time observer‐based event‐triggered systems

This paper aims at computing two types of system gains for discrete‐time observer‐based event‐triggered systems (ETSs) via the linear matrix inequality (LMI) approach. More precisely, an event‐trigger mechanism (ETM) is considered for the discrete‐time control systems consisting of a static controller and a Luenberger observer to determine whether or not the input signal for the controller is updated to the estimated value from the observer. For a tractable treatment of the input/output behavior of such ETMs, we derive their closed‐form representation through a piecewise linear difference equation. Based on this representation, we establish LMI‐based computation approaches to the gains for the ETSs from ℓp$$ {\ell}_p $$ to ℓ∞$$ {\ell}_{\infty } $$ (denoted by ℓ∞/p$$ {\ell}_{\infty /p} $$ ) with p=2,∞$$ p=2,\infty $$ . Finally, the effectiveness of the overall arguments is verified through a numerical example.
Associations Between Internet Addiction, Psychiatric Comorbidity, and Maternal Depression and Anxiety: Potential Underlying Mechanisms [Letter]

Dear editor We are writing to comment on the recent study by Sakamoto et al which we found to be a significant contribution to the field of internet addiction (IA) research. The study sheds light on a compelling association between IA and maternal depression and anxiety, an area that warrants further investigation. As such, we would like to elaborate on some of the possible factors that could be involved in this association. By exploring these mechanisms, we hope to deepen our understanding of the complex relationship between maternal mental health and IA. First, research has demonstrated that mothers experiencing depression or anxiety tend to withdraw from their parental duties, resulting in negative impacts on their child’s development. Accordingly, this lack of parental involvement can also increase the risk of internet addiction indicating the importance of promoting active parental involvement to prevent negative outcomes. Second, maternal depression is linked to reduced time spent closely supervising children. Some studies have shown that active parental involvement, specifically parental mediation, can have a significant impact on reducing the risk of internet addiction and negative online experiences in children and adolescents emphasizing the importance of active parental involvement in reducing this risk of IA. Third, children of mothers with depression often struggle with social competence and have challenges in social situations and relationships, which may influence a child’s preference for online interactions and their risk for internet addiction. Furthermore, excessive use of the internet may serve as a means for avoiding challenging domestic situations and the allure of virtual relationships can also contribute to the development of internet addiction. This reveals the role of the internet as a coping mechanism and a means of temporary escape from stress or negative emotions. Fourth, children of mothers with depression are at a higher risk of developing mood disorders themselves, as well as exhibiting externalizing behaviors. Individuals with IA often experience comorbidity with depression, anxiety, and impulse-control disorders. Consequently, this highlights the need for a comprehensive assessment and treatment plan that addresses all of the individual’s mental health issues. Nonetheless, we would like to draw your attention to a noteworthy observation we made during our examination of the scale used. The 6-Item Kessler Scale (K6) used in this study is a strong predictor of serious mental illness, including clinically significant depression or anxiety. However, the value of the K6 is primarily as a broad screener rather than a specific screener for any one mental disorder. In order to investigate the patterns and associations of specific disorders, we suggest that more specific screening scales should be preferred to the K6 such as the PHQ-9 scale for major depression and GAD-7 scale for anxiety.
VisMole: a molecular representation based on voxel for molecular property prediction

To make computers understand the molecules, the first and important thing is to represent molecules in a proper way, which will affect the efficiency of chemistry tasks like property prediction and molecular design. In this work, we introduce a molecular representation for noncrystalline small molecules based on the theory of quantum physics. This representation captures the microscopic spatial structure of the molecule, which ensures it reflects more visual perception information about the molecule. We use Drug3DNet as our baseline and test the efficiency of our representation. By comparing with several other representations, we prove that our representation performs better on most of the properties.
Dependence of cognitive ability on synchronous neural interactions determined by magnetoencephalography

Previous studies have shown that synchronous neural interactions (SNI) underlying healthy brain function can be readily distinguished from neural anomalies associated with diseases including dementia; however, it is imperative to identify biomarkers that facilitate early identification of individuals at risk for cognitive decline prior to the onset of clinical symptoms. Here we evaluated whether variation in brain activity, measured directly with magnetoencephalography, corresponds with subtle differences in cognitive performance in cognitively healthy women. A total of 251 women (age range 24-102 y) who performed above established cutoffs on the Montreal Cognitive Assessment (MoCA) also underwent a task-free magnetoencephalography scan from which SNI were computed. The results demonstrated that increased SNI was significantly associated with decreased cognitive performance (, controlling for age. Compared to the lowest performers with normal cognition (MoCA = 26), SNI of the highest performers (MoCA = 30) was associated with decorrelation primarily in the right anterior temporal cortex region, with additional (weaker) foci in the left anterior temporal cortex, right posterior temporal cortex, and cerebellum. These findings highlight the relevance of neural network decorrelation on cognitive functioning and suggest that subtle increases in SNI may presage future cognitive impairment.
Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations

High temporal resolution aerosol optical depth (AOD) observations derived from new-generation geostationary (GEO) satellites possess unique advantages in analyzing aerosol fast variation processes and thereby providing more accurate assessments of their climate effects and health risks. Unfortunately, the expected advantages and values are dramatically limited by a relatively large proportion of data missing in the GEO AOD products due to cloud obscuration and intrinsic retrieval algorithm. Although several data recovery algorithms have been proposed in recent years to improve the spatial coverage for GEO AOD products, most of them aim at filling up the data blanks rather than reconstructing the temporally continuous variation of aerosol. Accordingly, in this study, a novel framework of nested spatiotemporal fusion blending GEO with the sun-synchronous orbit (SSO) satellite observations based on the Bayesian maximum entropy (BME) theorem is developed for GEO Himawari-8 Advanced Himawari Imager (AHI) AOD recovery with the sufficient excavation of complementary information from GEO and SSO satellite observations, where the minute-stage and hour-stage BME fusion are jointly employed to reconcile temporal inconsistency and data discrepancies between GEO and SSO observations. The results demonstrate that the AOD spatial coverage is dramatically increased by 240.9% (from 20.5% to 70%) with ensured accuracy after Nested-BME fusion. Additionally, two case analyses, during the development and dispersion processes of haze respectively, both demonstrate that the proposed Nested-BME fusion framework could reconstruct the reliable aerosol diurnal variation trends on the basis of recovering missing data for Himawari-8 AHI AOD datasets, while the AHI official level-2 and level-3 AOD products fail to capture these key trends. Furthermore, the developed Nested-BME AOD fusion framework is also applicable for other GEO satellites over other regions, which could substantially enhance the availability and value of high temporal resolution AOD products for better scientific applications.
Facial symmetry assessment based on geometric features

Face image symmetry is an important factor affecting the accuracy of automatic face recognition. Selecting high symmetrical face image could improve the performance of the recognition. In this paper, we proposed a novel facial symmetry evaluation scheme based on geometric features, including centroid, singular value, in-plane rotation angle of face and the structural similarity index (SSIM). First, we calculate the value of the four features according to the corresponding formula. Then, we use fuzzy logic algorithm to integrate the value of the four features into a single number which represents the facial symmetry. The proposed method is efficient and can adapt to different recognition methods. Experimental results demonstrate its effectiveness in improving the robustness of face detection and recognition.
Weight Analysis of the Influencing Factors of Homestay Competitiveness in Rural Guangzhou, China

At present, Guangzhou homestay industry is facing a bottleneck. Therefore, it is particularly important to analyze the factors that influence the competitiveness of rural homestays in Guangzhou, determine the evaluation system of competitiveness, and determine the weight of each factor. Based on Porter’s diamond theory, this paper analyzes and summarizes the influencing factors of homestay competitiveness, and divides the influencing factors into 5 primary factors and 34 secondary factors. The analytic hierarchy process (AHP) was used to determine the judgment matrix to form the weight results of each factor, and the results show that product characteristics account for the largest proportion among first level factors. Secondary factors such as theme creativity, personalized brand and the overall score account for a large proportion. The research results can act as a reference for the construction of competitiveness evaluation mechanism and model of local rural quality homestays.
An image analysis tool for cell migration assay with a large sample size

Cell migration assay is the most common research approach for cell migration. Quantitative research and analysis are carried out by measuring the migration of cells into the region that is artificially created among confluent monolayer cells. To improve the efficiency and accuracy of the analysis, the software/tools were developed to assist the image analysis process. However, these software and tools are still at the stage of measuring a single sample, which cannot satisfy the requirement of large sample size for cell migration assay device. In this paper, an image analysis tool based on Fiji is developed, which can segment multiple samples from a scanned image and then analyze a single sample in batch. In addition, the screening function should be added for the application scenario of large sample size. The samples can be filtered according to different conditions to improve the consistency of experimental conditions. The results show that the developed analysis tool ATCA has high accuracy in identifying cell-free zones, with a difference of 2.3% from the tool WHST and 2.9% from manual operation. The analysis efficiency of this tool is 15 times that of manual operation.
When the window of opportunity opens: how does open search impact the business model design of digital startups?

ABSTRACT Open search is crucial to business model design. In recent years, the digital revolution has significantly reshaped the open search environment and the business model landscape. The traditional ‘either/or’ paradigm that separately tests the effects of open search breadth and depth on business model design is no longer applicable. By introducing the ‘both/and’ paradigm, this study explores how open search breadth and depth, both jointly and in an orderly manner, impact hybrid business model design. Using a sample of digital startups during the opportunity window of China’s digital entrepreneurship, we find that open search breadth positively relates to the balance between technology- and consumer-oriented business models. Furthermore, under the premise of high breadth, open search depth shows a U-shaped relationship with this balance. This study not only enriches our knowledge of the antecedents of business model design but also provides a comprehensive understanding of the role of open search.
Responsibility Gaps and Retributive Dispositions: Evidence from the US, Japan and Germany

Danaher (2016) has argued that increasing robotization can lead to retribution gaps : Situation in which the normative fact that nobody can be justly held responsible for a harmful outcome stands in conflict with our retributivist moral dispositions. In this paper, we report a cross-cultural empirical study based on Sparrow’s (2007) famous example of an autonomous weapon system committing a war crime, which was conducted with participants from the US, Japan and Germany. We find that (i) people manifest a considerable willingness to hold autonomous systems morally responsible, (ii) partially exculpate human agents when interacting with such systems, and that more generally (iii) the possibility of normative responsibility gaps is indeed at odds with people’s pronounced retributivist inclinations. We discuss what these results mean for potential implications of the retribution gap and other positions in the responsibility gap literature.
Walsh Functions and Gray Code

Gray code is a natural way of ordering binary vectors in dyadic space, hence it appears frequently in connetion with Walsh functions. In Paley's definition of Walsh functions their sequencies are arranged in Gray code. Gray code also appears in a new Walsh function generation algorithm which obtains a function by locating all its sign changes. There are certain computational advantages in using Gray code rather than sequency ordering. Examples in fast Walsh transform, dyadic convolution and digital filtering are given. Methods of Gray code to binary conversion are discussed.
Stable Recovery of Sparsely Corrupted Signals through Justice Pursuit De-Noising

This paper considers a corrupted compressed sensing problem and is devoted to recover signals that are approximately sparse in some general dictionary but corrupted by a combination of interference having a sparse representation in a second general dictionary and measurement noise. We provide new restricted isometry property (RIP) analysis to achieve stable recovery of sparsely corrupted signals through Justice Pursuit De-Noising (JPDN) with an additional parameter. Our main tool is to adapt a crucial sparse decomposition technique to the analysis of the Justice Pursuit method. The proposed RIP condition improves the existing representative results. Numerical simulations are provided to verify the reliability of the JPDN model.
Frequency of Differential Diagnosis on CT Following a Traumatic Brain Injury

Background: Traumatic brain injury is the vigilant insult of brain after a collisional trauma that leads to series ofpathophysiological events. Traumatic brain injury is an exceeding chemical process that leads towards a wide varietyof brain pathologies. There are multiple brain pathologies that are triggered by trauma and can easily be visualizedon the computed tomography. And there are wide spectra of clinical manifestation that is associated with each andevery pathology that manifests after brain trauma such as dementia, vomiting, headache, gait disturbances andsensory and visual disturbance. And the Glasgow comma score interprets the severity of the disease in the mild,moderate and severe category. The CT features of the skull fracture, epidural hemorrhage, subdural hemorrhage,subarachnoid hemorrhage and intraventricular hemorrhage can be described normally by the compression ofnormal cortical tissue and compression of mid line structure and raised intracranial pressure. OBJECTIVE: To derive the frequency of differential diagnosis of different pathologies on computed tomographyafter a traumatic brain injury. MATERIAL AND METHODS: A total 195 subjects were considered for this retro prospective analytical study. All thepatients who were admitted with the history of brain trauma and had computed tomography scan as the 1st line ofinvestigation after the clinical diagnosis were considered prime for this study RESULTS: According to our descriptive observational research study we have concluded that. there weremultiple age groups in which different number cases that were frequent in different age group such asfrom age 15-24 we had 9 cases, 25 -34 we had 8 cases ,35-44 we had 5 cases ,45-54 we had 6 cases ,55-65we had 2 cases. According to our research the most frequent cases of TBI pathology was associated withintraventricular hemorrhage with 11 cases followed by subdural hemorrhage with 9 cases, followed byepidural hemorrhage with 6 cases and the least number of cases was associated with skull fracture andhydrocephalus
An antenna pattern measurement technique for eliminating the fields scattered from the edges of a finite ground plane

A novel antenna pattern measurement technique is presented to eliminate the effects of the finite ground plane and anechoic chamber wall reflections which significantly perturb antenna pattern measurements. This technique consists of the measurement of the edge-diffracted fields and their subsequent subtraction from the original pattern. A simple theoretical model is developed to introduce the subtraction technique, and comparisons are made which show the excellent agreement between theoretical (assuming an infinite ground plane) and 'corrected' experimental antenna patterns. Experimental results are given for open-ended waveguide, microstrip patch, and monopole antennas mounted on circular and square ground planes of various sizes. Time gating techniques are illustrated as well. >
A measurement of human body rotation during parabolic flight experiment

Purpose – This paper aims to propose a method for measuring the rotation of moving body during parabolic flight using camera. Design/methodology/approach – An orthogonal matrix used to calculate the Euler angles of rotation is solved by means of singular value decomposition. The translation velocity and position of moving body are measured by a binocular camera system. Findings – The experiment is executed in a jet aircraft to simulate micro-gravity during parabolic flight. And the human moving body is regarded as a rigid body. The results show that this method can calculate the angles effectively. Practical implications – This work is useful for calculation and monitoring body’s motion in space. Originality/value – The paper gives a method which measures the rotation of a rigid body under the microgravity by a binocular camera to modify the measurement error of the interferometer.
Multiple Autonomous Surface Vehicles for Autonomous Cooperative Navigation Tasks in a Marine Environment: Development and Preliminary Field Tests

This paper presents the development and field testing of multiple autonomous surface vehicles (ASVs) for autonomous cooperative navigation tasks in marine environments. The developed ASVs were designed in a catamaran hull form, and various systems related to autonomous functionalities, including the electrical propulsion, wireless communication, and guidance, navigation, and control (GNC) systems, were integrated with the situational awareness sensor system. Because not all of the navigation and situational awareness sensor data can be shared owing to the large network load, the network communication and data protocol structure was designed to enhance the data management efficiency. Furthermore, for cooperative navigation between multiple ASVs, the network communication system was synchronously shared with motion information through a robot operating system (ROS) multi-master system. In particular, an autonomy framework with cooperative navigation and control was designed to enable autonomous cooperative maneuvering with multiple ASVs in a global navigation satellite system (GNSS)-denied environment. Furthermore, a cooperative navigation and control approach based on relative geometric information between vehicles was implemented in the framework, which incorporated the capabilities of following a predefined path and maintaining a specific formation based on the relative distance between ASVs. Moreover, to demonstrate the essential maneuvering and functional capabilities of the cooperative navigation and control approach of the developed ASVs, preliminary field tests were conducted in an inland water environment, and the test results are discussed in this paper.