Miracle-dz/UniFAR-FTUs huggingface dataset:
LiCaS3: A Simple LiDAR–Camera Self-Supervised Synchronization Method

Recent advances in robotics and deep learning demonstrate promising 3-D perception performances via fusing the light detection and ranging (LiDAR) sensor and camera data, where both spatial calibration and temporal synchronization are generally required. While the LiDAR–camera calibration problem has been actively studied during the past few years, LiDAR–camera synchronization has been less studied and mainly addressed by employing a conventional pipeline consisting of clock synchronization and temporal synchronization. The conventional pipeline has certain potential limitations, which have not been sufficiently addressed and could be a bottleneck for the potential wide adoption of low-cost LiDAR–camera platforms. Different from the conventional pipeline, in this article, we propose the LiCaS3, the first deep-learning-based framework, for the LiDAR–camera synchronization task via self-supervised learning. The proposed LiCaS3 does not require hardware synchronization or extra annotations and can be deployed both online and offline. Evaluated on both the KITTI and Newer College datasets, the proposed method shows promising performances. The code will be publicly available at https://github.com/KleinYuan/LiCaS3.
Brain Regions Activity During a Deceitful Monetary Game: An fMRI Study

: Finding neural correlates underlying deception may have implementations in judicial, security, and financial settings. Telling a successful lie may activate different brain regions associated with risk evaluation, subsequent reward/punishment possibility, decision-making, and theory of mind (ToM). Many other protocols have been developed to study individuals who proceed with deception under instructed laboratory conditions. However, no protocol has practiced lying in a real-life environment. We performed a functional MRI using a 3Tesla machine on 31 healthy individuals to detect the participants who successfully lie in a previously-designed game to earn or lose the monetary reward. The results revealed that lying results in an augmented activity in the right dorsolateral and right dorsomedial prefrontal cortices, the right inferior parietal lobule, bilateral inferior frontal gyri, and right anterior cingulate cortex. The findings would contribute to forensic practices regarding the detection of a deliberate lie. They may also have implications for guilt detection, social cognition, and the societal notions of responsibility.
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems

Localizing root causes for multi-dimensional data is critical to ensure online service systems' reliability. When a fault occurs, only the measure values within specific attribute combinations are abnormal. Such attribute combinations are substantial clues to the underlying root causes and thus are called root causes of multidimensional data. This paper proposes a generic and robust root cause localization approach for multi-dimensional data, PSqueeze. We propose a generic property of root cause for multi-dimensional data, generalized ripple effect (GRE). Based on it, we propose a novel probabilistic cluster method and a robust heuristic search method. Moreover, we identify the importance of determining external root causes and propose an effective method for the first time in literature. Our experiments on two real-world datasets with 5400 faults show that the F1-score of PSqueeze outperforms baselines by 32.89%, while the localization time is around 10 seconds across all cases. The F1-score in determining external root causes of PSqueeze achieves 0.90. Furthermore, case studies in several production systems demonstrate that PSqueeze is helpful to fault diagnosis in the real world.
Biodegradation and Prospect of Polysaccharide from Crustaceans

Marine crustacean waste has not been fully utilized and is a rich source of chitin. Enzymatic degradation has attracted the wide attention of researchers due to its unique biocatalytic ability to protect the environment. Chitosan (CTS) and its derivative chitosan oligosaccharides (COSs) with various biological activities can be obtained by the enzymatic degradation of chitin. Many studies have shown that chitosan and its derivatives, chitosan oligosaccharides (COSs), have beneficial properties, including lipid-lowering, anti-inflammatory and antitumor activities, and have important application value in the medical treatment field, the food industry and agriculture. In this review, we describe the classification, biochemical characteristics and catalytic mechanisms of the major degrading enzymes: chitinases, chitin deacetylases (CDAs) and chitosanases. We also introduced the technology for enzymatic design and modification and proposed the current problems and development trends of enzymatic degradation of chitin polysaccharides. The discussion on the characteristics and catalytic mechanism of chitosan-degrading enzymes will help to develop new types of hydrolases by various biotechnology methods and promote their application in chitosan.
An examination of effect on psychological time by evoking fear in VR

The time that people perceive is called "psychological time" and is classified as "time perception" when the time range is less than 5 s and "time estimation" when the time range is 5 s or more. It is known that "psychological time" is perceived longer by fear, but there is little research on each effect of "time perception" and "time estimation" evoked by fear. Therefore, using VR technology that can give a sense of immersion as users really do, we present VR contents that evoke strong fear safely to users both in the "time perception" and "time estimation" ranges and investigate the differences between the effects of "time perception" and "time estimation" evoked by fear.
Investigating Remote Teaching: How Google Meet and Zoom Affect Teachers and Students' Experience

Due to the suspension of in-person classes caused by the COVID-19 pandemic, educational institutions had to adapt to remote teaching. Thus, videoconferencing tools were adopted to make it possible. However, using these tools can impact the remote teaching experience. In this paper, we present an investigation about the Google Meet and Zoom. We considered teacher and students profiles concerning Usability, a quality attribute that allows assessing the ease of use of user interfaces, and the User Experience (UX), which provides a holistic view focusing on subjective aspects such as affect and emotions. The purpose of Usability and UX is to understand the impacts of the tools on the quality of the remote teaching experience. Our results indicate that besides the tools, the interaction between teacher and student, in the context of synchronous classes, impacts the remote teaching experience, being an essential aspect of discussion and enabling further investigations within the technology-supported education community. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
Additional Measurement Approaches for Sleep Disturbances. Comment on “A Transdiagnostic Self-management Web-Based App for Sleep Disturbance in Adolescents and Young Adults: Feasibility and Acceptability Study”

1. Electroencephalogram: Multiple brain electrode patches are placed on the scalp to record the various stages of sleep. Thus, we can obtain a brainwave diagram for analysis. 2. Electromyography: 4 electrode patches are used to monitor muscle tension. Muscle tension will decrease significantly during sleep. We can also detect whether periodic limb movement disorder occurs and then compare the results with other data. 3. Electrocardiography: this can record the activity of the heart, including T waves, P waves, and QRS waves. 4. Electrooculography: this can record the potential difference between the cornea and the retina, so that we know when the rapid eye movement period occurs, allowing us to judge the stages of sleep. 5. Oxygen saturation: by recording this, we can know if the body remains in good condition during sleep. 6. Thoracic abdominal effort. 7. Nasal and oral airflow.
Esophagogastroduodenal Findings in Patients with Intraductal Papillary Mucinous Neoplasms

The association between intraductal papillary mucinous neoplasms (IPMNs) and extra-pancreatic malignancies is controversial. This cross-sectional study compared esophagogastroduodenal findings in 340 IPMN patients to those of age- and gender-matched controls without known IPMNs who underwent esophagogastroduodenoscopies (EGDs) for similar clinical reasons. The presence of gastric and esophageal cancer, Barrett’s esophagus, neuroendocrine tumors (NETs), gastrointestinal stromal tumors (GISTs), gastric adenomas, and ampullary tumors was assessed. The results showed that 4/340 (1.2%) of the IPMN patients had gastric cancer and 1/340 (0.3%) had esophageal cancer. The matched control group had a similar incidence of gastric cancer (5/340) (1.5%), with no esophageal cancer cases (p > 0.999). The overall incidence of other esophagogastroduodenal conditions did not significantly differ between the IPMN patients and the controls. However, the incidence of gastric cancer in the IPMN patients was higher than expected based on national cancer registry data (standardized incidence ratio of 31.39; p < 0.001; CI 8.38–78.76). In conclusion, IPMN patients have a significantly higher incidence of gastric cancer compared to the general population. However, the incidence of esophagogastroduodenal findings, including gastric and esophageal cancer, is similar between IPMN patients and those who undergo an EGD for similar clinical indications. Further research is needed to determine optimal surveillance strategies for IPMN patients regarding their risk of developing gastric cancer.
Lifestyle, mental health and social support of citizens living in India and Nepal during post-COVID-19

This study was undertaken to determine the lifestyle, mental health and social support of the citizens living in India and Nepal during post-Covid-19.Two different areas were taken for the present study, i.e. India and Nepal. In Nepal, subjects were taken from the Bagmati district of Kathmandu and the Kapurthala district of Punjab. 100 subjects were taken (50 from Nepal and 50 from India) among Nepal subjects, the equal number of male and female subjects were taken, it was followed among Indian subjects in the same way. The subjects were also matched in age, education and occupation. All the subjects were very cooperative and free from any severe physical or mental illness. Mental Health Battery, Lifestyle Scale and Multidimensional Scale of Perceived Social Support were employed with each of the subjects in two sessions respectively.It revealed that the people of Nepal showed deterioration in mental health compared to the subjects of the Indian population. In the other two dimensions, like lifestyle scale and social support scale, Indian subjects showed less prominence compared to Nepal subjects. Covid pandemic was so unexpected that the people were in a state of severe shock, who survived.
Temporal variation in stomatal sensitivity to vapor pressure deficit in western riparian forests

Handling Editor: Tamir Klein Abstract 1. Increasing atmospheric vapour pressure deficit (D) can influence plant water and carbon uptake. However, growing season variation in stomatal responses to D among tree taxa has not been thoroughly quantified and therefore has not been wellcharacterized in stomatal regulation models. 2. Using sap flux data from nine riparian species spanning a 600m elevation gradient in semiarid northern Utah, USA, we fit a timevarying empirical model of stomatal conductance to D in a hierarchical Bayesian framework. The reference conductance (Gref, conductance at D = 1 kPa) term was modelled as a function of cumulative growing season D, which varied with site elevation. 3. Seven species exhibited Gref that varied significantly with cumulative growing season D, but the direction was not consistent among species. Two lowelevation ringporous species, the invasive Tamarix ramosissima and Elaeagnus angustifolia, exhibited significantly positive correlation between Gref and cumulative D, such that standardized stomatal sensitivity (S) decreased during the season. Despite lower D at the midand highelevation sites, five diffuseporous native species exhibited progressively increasing sensitivity to D during the growing season. 4. Stomatal strategies exhibit seasonal trends that vary by environmental conditions (D) and functional traits (wood anatomy), which complicates the prediction of plant hydraulic function under increasing atmospheric drought. In the increasingly arid western United States, the progressively less sensitive stomatal behaviour of invasive taxa may hasten their dominance in riparian forests.
Gravity flow of broken rock : What is known and unknown

The knowledge in the field has been reviewed by literature studies, and using experience from personal research in sublevel caving. There is a lot of material regarding gravity flow of fine grained materials in bins, but the theory of flow for these materials are normally not applicable for coarse blasted rock. This study was therefore concentrated towards coarse rock fragments created after blasting in orebodies. The goal for this study was to make a report of known knowledge, and identify what we have to learn more about. The Bergmark-Roos theory, which was a paradigm shift in the science of gravity flow, is today the best mathematical theory for calculation of the drawbody for a homogenous material or when we wish to simulate the mean drawbody for a large number of draws. The Bergmark-Roos theory must however be improved, so it can take into account the flow pipe effect. When this is done it will be possible to construct a 3D computer model for calculation of ore extraction versus amount of loaded ore and waste. It is also necessary to find the 3D shape of the flow cone to be able to calculate the 3D ore rest that normally develops on footwalls. Calculations should be done for the draw on several sublevels including determination of the ore losses and temporary ore rests. First when this computer model is developed optimisation of ore recovery and waste rock dilution can start for a given orebody. The author points out the importance for international co-operation and standardisation of methods for determination of material properties. More field tests and model blasting tests should also be done. When enough knowledge is gathered, a handbook of the optimisation of sublevel and block caving should be written
Adaptation to Industry 4.0 in the Visegrád Group

Motivation: The concept of Industry 4.0 is widely recognised, since technological development is an inseparable factor of the modern organisations functioning. Due to this, the interest in the subject of the 4th industrial revolution has grown in recent years. However, far too little attention has been paid to the measurement of readiness and implementation of key attributes in Czechia, Hungary, Poland and Slovakia. Aim: The major objective of this study was to investigate the adaptation to Industry 4.0 in the Visegrád Group. Consequently, in the theoretical part both a historical context and a description of the main components of Industry 4.0 was introduced, which was the basis for the evaluation of the V4 transition toward Industry 4.0 in the empirical section. Materials and methods: Both quantitative (basic statistical analysis) and qualitative (critical analysis of the subject literature) methods were used in this investigation. The research data was drawn mainly from institutional reports and Eurostat database. Results: The investigation indicated that the transition towards Industry 4.0 in V4 countries is less advanced than in other European regions and need particular attention. Despite the relatively good results achieved in the field of robotisation, especially in the foreign-owned automotive industry, in general the Group lags behind the majority of Western and Baltic countries in terms of already adapted technologies, innovations and digital skills.
Social citizenship when living with dementia: A qualitative meta-study

ABSTRACT Background: Dementia has been labelled as a condition leading to ‘prescribed disengagement’ which negatively affects a person’s ability to remain an agentic citizen. Social citizenship has become a central focus within dementia studies and occupational science, with a view of people with dementia (PWD) as capable and active agents. However, PWD still experience stigmatization and exclusion from valued occupations and being treated as passive recipients, preventing them of practicing citizenship. Aim: The aim of this meta-study was to investigate what PWD perceive to enable or hinder social citizenship in their everyday occupations. Method: A qualitative meta-study was undertaken. A systematic search was performed in six databases and additional reports were found in the reference lists of the included reports. The meta-study included 14 reports with publication dates from January 2012 to April 2021. Results: The analysis identified four themes reflecting what may enable or hinder social citizenship in PWD’s everyday lives: 1) Having rights acknowledged and seizing self-empowerment, 2) Experiencing stigmatization and marginalization, 3) Belonging and interdependence, and 4) Connecting with places of community and continuity. Conclusion: The review identifies how contextual forces relating to society, culture, justice, and everyday life can promote and prevent a sense of social citizenship when living with dementia. This meta-study calls for dementia inclusive communities that provide occupational opportunities and view PWD as citizens in their own right, with fundamental rights to participate and contribute as valuable members of society.
Fabrication and Irradiation Effect of Inverted Metamorphic Triple Junction GaInP/GaAs/InGaAs Solar Cells

Inverted metamorphic triple junction (IMM3J) GaInP/GaAs/InGaAs solar cells have the advantages of high efficiency, excellent radiation resistance, lightweight and flexible properties, especially suitable for space application. In this paper, we first fabricate the IMM3J GaInP/GaAs/InGaAs solar cell, which has a short circuit current density of 16.5 mA/cm2, an open circuit voltage of 3141.8 mV, a fill factor of 84.3%, and an efficiency of 32.2%. Then, the IMM3J solar cell is irradiated by 2 MeV protons with different fluences from 2 × 1011 cm−2 to 2 × 1012 cm−2. Finally, the output electrical properties of IMM3J solar cells at the beginning of life and end of life are analyzed by current-voltage characterization. The degradation behaviors of each subcell before and after irradiation can also be described by the external quantum efficiency and short circuit current density.
Interactive auralization based on hybrid simulation methods and plane wave expansion

The reconstruction and reproduction of sound fields have been extensively researched in the last decades leading to an intuitive approach to estimate and evaluate the acoustic properties of enclosures. Applications of auralization can be found in acoustic design, subjective tests, virtual reality and entertainment, among others. Different methodologies have been established to generate auralizations for room acoustics purposes, the most common of them, the use of geometrical acoustics and methods based on the numerical solution of the wave equation to synthesize the room impulse responses. The assumptions and limitations of each approach are well known, which in turn, restrict their application to specific frequency bands. If the aim is to reconstruct accurately the sound field in an extended range of frequencies, a combination of these methodologies has to be performed. Furthermore, recent advances in computational power have enabled the possibility to generate interactive atmospheres where the user is able to interact with the environment. This feature, although it expands the applications of the auralization technique, is nowadays mainly based on geometrical acoustics or interpolation methods. The present research addresses the generation of interactive broadband auralizations of enclosures using a combination of the finite element method and geometrical acoustics. For this, modelling parameters for both simulation methods are discussed making emphasis on the assumptions made in each case. Then, the predicted room impulse responses are represented by means of a plane wave expansion, which in turn, enables interactive features such as translation and rotation of the acoustic fields. An analytical expression is derived for the translation in the plane wave domain. Furthermore, the transformation of the plane wave representation in terms of spherical harmonics is also explored allowing the acoustic fields to be rotated. The effects of assuming a plane wave propagation within small enclosures and the consequences of using a finite number of plane waves to synthesize the sound fields are discussed. Finally, an implementation of an interactive auralization system is considered for different reference cases. This methodology enables reconstruction of the aural impression of enclosures in real-time with higher accuracy at low frequencies compared to only geometrical acoustics techniques. The plane wave expansion provides a convenient sound field representation in which the listener can interact with the acoustics of the enclosure. Furthermore, the sound reconstruction can be performed by implementing several sound reproduction techniques extending the versatility of the proposed approach.
Biomarker Candidates for Alzheimer’s Disease Unraveled through In Silico Differential Gene Expression Analysis

Alzheimer’s disease (AD) is neurodegeneration that accounts for 60–70% of dementia cases. Symptoms begin with mild memory difficulties and evolve towards cognitive impairment. The underlying risk factors remain primarily unclear for this heterogeneous disorder. Bioinformatics is a relevant research tool that allows for identifying several pathways related to AD. Open-access databases of RNA microarrays from the peripheral blood and brain of AD patients were analyzed after background correction and data normalization; the Limma package was used for differential expression analysis (DEA) through statistical R programming language. Data were corrected with the Benjamini and Hochberg approach, and genes with p-values equal to or less than 0.05 were considered to be significant. The direction of the change in gene expression was determined by its variation in the log2-fold change between healthy controls and patients. We performed the functional enrichment analysis of GO using goana and topGO-Limma. The functional enrichment analysis of DEGs showed upregulated (UR) pathways: behavior, nervous systems process, postsynapses, enzyme binding; downregulated (DR) were cellular component organization, RNA metabolic process, and signal transduction. Lastly, the intersection of DEGs in the three databases showed eight shared genes between brain and blood, with potential use as AD biomarkers for blood tests.