Miracle-dz/UniFAR-FTUs huggingface dataset:
Monogenic Parkinson’s Disease: Genotype, Phenotype, Pathophysiology, and Genetic Testing

Parkinson’s disease may be caused by a single pathogenic variant (monogenic) in 5–10% of cases, but investigation of these disorders provides valuable pathophysiological insights. In this review, we discuss each genetic form with a focus on genotype, phenotype, pathophysiology, and the geographic and ethnic distribution. Well-established Parkinson’s disease genes include autosomal dominant forms (SNCA, LRRK2, and VPS35) and autosomal recessive forms (PRKN, PINK1 and DJ1). Furthermore, mutations in the GBA gene are a key risk factor for Parkinson’s disease, and there have been major developments for X-linked dystonia parkinsonism. Moreover, atypical or complex parkinsonism may be due to mutations in genes such as ATP13A2, DCTN1, DNAJC6, FBXO7, PLA2G6, and SYNJ1. Furthermore, numerous genes have recently been implicated in Parkinson’s disease, such as CHCHD2, LRP10, TMEM230, UQCRC1, and VPS13C. Additionally, we discuss the role of heterozygous mutations in autosomal recessive genes, the effect of having mutations in two Parkinson’s disease genes, the outcome of deep brain stimulation, and the role of genetic testing. We highlight that monogenic Parkinson’s disease is influenced by ethnicity and geographical differences, reinforcing the need for global efforts to pool large numbers of patients and identify novel candidate genes.
Antioxidant and Anti-Inflammatory Effects of Coenzyme Q10 Supplementation on Infectious Diseases

With the appearance of new viruses and infectious diseases (ID) such as COVID-19 in 2019, as well as the lack of specific pharmacological tools for the management of patients with severe complications or comorbidities, it is important to search for adjuvant treatments that help improve the prognosis of infectious disease patients. It is also important that these treatments limit the oxidative and hyperinflammatory damage caused as a response to pathogenic agents, since, in some cases, an inflammatory syndrome may develop that worsens the patient’s prognosis. The potential benefits of complementary nutrients and dietary interventions in the treatment of pathological processes in which oxidative stress and inflammation play a fundamental role have been widely evaluated. Coenzyme Q10 (CoQ10) is a supplement that has been shown to protect cells and be effective in cardiovascular diseases and obesity. Additionally, some studies have proposed it as a possible adjuvant treatment in viral infections. Preclinical and clinical studies have shown that CoQ10 has anti-inflammatory and antioxidant effects, and effects on mitochondrial dysfunction, which have been linked to the inflammatory response.
Positioning Accuracy of the Zhurong Mars Rover's Hand–Eye System

The hand–eye system is an important component of the Zhurong rover, which is crucial for positioning, terrain reconstruction, stereo vision measurement and mission planning functions. The hand–eye system consists of a navigation camera and mast mechanism, and its positioning accuracy has an important effect on the teleoperation mission of the Zhurong rover. A positioning method that combines close‐range photogrammetry and robot kinematics is proposed. It includes geometric calibration, stereo vision measurement and coordinate transformations. Experiments were carried out in different scenes (for example, field, laboratory and Mars) to verify the positioning accuracy of the hand–eye system. The minimum and maximum positioning errors of the hand–eye system, as verified by in‐orbit checkpoints, were 16.5 and 28.7 mm, respectively. This positioning accuracy can effectively satisfy the requirements of the teleoperation mission of the Zhurong rover.
Structure, Morphology, and Permeability of Cellulose Films

The work is focused on the study of the influence of the cellulose type and processing parameters on the structure, morphology, and permeability of cellulose films. The free volume of the cellulose films was evaluated by the sorption of n-decane, which is a non-solvent for cellulose. The structural features of the membranes and their morphology were studied using X-ray diffraction, IR spectroscopy, SEM, and AFM methods. The characteristic features of the porous structure and properties of cellulose films regenerated from cellulose solutions in the N-methylmorpholine-N-oxide (NMMO) and cellophane films were compared. Generally, cellulose films obtained from solutions in NMMO have a higher permeability and a lower rejection (as measured using Orange II dye) as compared to cellophane films. It was also found that the cellulose films have a higher ultimate strength and modulus, whereas the cellophane films are characterized by higher elongation at break.
The Past, Present, and Future in Antinuclear Antibodies (ANA)

Autoantibodies are a hallmark of autoimmunity and, specifically, antinuclear antibodies (ANAs) are the most relevant autoantibodies present in systemic autoimmune rheumatic diseases (SARDs). Over the years, different methods from LE cell to HEp-2 indirect immunofluorescence (IIF), solid-phase assays (SPAs), and finally multianalyte technologies have been developed to study ANA-associated SARDs. All of them provide complementary information that is important to provide the most clinically valuable information. The identification of new biomarkers together with multianalyte platforms will help close the so-called “seronegative gap” and to correctly classify and diagnose patients with SARDs. Finally, artificial intelligence and machine learning is an area still to be exploited but in a next future will help to extract patterns within patient data, and exploit these patterns to predict patient outcomes for improved clinical management.
Effets d'une séquence d'écriture collaborative sur l'apprentissage du lexique au 3e cycle du primaire

Cette recherche explore les effets d’une séquence d’écriture collaborative sur l’apprentissage du lexique chez des élèves de 6e année du primaire scolarisés en français. Deux groupes de sixième année ont participé à cette étude quasi expérimentale. Chaque groupe a participé à deux séances de préparation, ainsi que trois séances d’écriture précédées par un enseignement explicite de 5 mots cibles. Les participants du groupe expérimental écrivaient en équipe de quatre tandis que ceux du groupe contrôle écrivaient individuellement. Avant et après l’intervention, des mesures de la connaissance des mots ciblés par l’intervention ont été prises auprès des deux groupes de recherche. Les résultats d’une analyse de variance ANOVA n’ont révélé aucune différence significative entre les deux groupes sur le plan de l’apprentissage des mots cibles. Nos résultats suggèrent que l’écriture collaborative et l’écriture individuelle mènent à un apprentissage semblable des mots et invitent à réfléchir aux conditions qui favorisent l’enseignement du lexique.
Problems Related to the Act on Decisions on Life-Sustaining Treatment and Directions for Improvement

The Act on Decisions on Life-Sustaining Treatment has been in effect since 2018 for end-of-life patients. However, only 20~25% of deaths of terminally ill patients comply with the law, while the remaining 75~80% do not. There is significant confusion in how the law distinguishes between those in the terminal stage and those in the dying process. These 2 stages can be hard to distinguish, and they should be understood as a single unified “terminal stage. ” The number of medical institutions eligible for life-sustaining treatment decisions should be legally expanded to properly reflect patients’ wishes. To prevent unnecessary suffering resulting from futile life-sustaining treatment, life-sustaining treatment decisions for terminal patients without the needed familial relationships should be permitted and made by hospital ethics committees. Adult patients should be permitted to assign a legal representative appointed in advance to represent them. Medical records can be substituted for a patient’s judgment letter (No. 9) and an implementation letter (No. 13) for the decision to suspend life-sustaining treatment. Forms 1, 10, 11, and 12 should be combined into a single form. The purpose of the Life-sustaining Medical Decisions Act is to respect patients’ right to self-determination and protect their best interests. Issues related to the act that have emerged in the 3 years since its implementation must be analyzed, and a plan should be devised to improve upon its shortcomings.
Analysis of the influencing factors of urban residents to use urban public bikes: A case study of Suzhou

Because of the advantages of zero-emission, strong flexibility and high accessibility, urban public bikes have become an important urban vehicle for conversion and connection between bus and subway, and is also a crucial mode of transportation for short distance travel. By taking Suzhou's public bikes as a study object, this paper builds a hypothetical structural equation model of the influence on the satisfaction of using public-bike based on exploratory factor analysis(EFA) and empirically studies the satisfaction and its impact mechanism of urban residents to use public-bike based on confirmatory factor analysis(CFA). The results are shown as follows. (1) Convenience and flexibility, design and layout,comfortability and environmental friendliness, as well as safety are the key factors of residents' satisfaction of using public-bike and economic costs and operational services are important ones. (2) Convenience and flexibility has the greatest influence on satisfaction with the path coefficient of 0.40, followed by design and layout, comfortability and environmental friendliness, with the path coefficients of 0.39 and 0.36, respectively. The influences of safety,economic costs and operational services are relatively small. (3) Convenience and flexibility,design and layout, comfortability and environmental friendliness, safety, as well as operational services show positive correlations with satisfaction, while economic costs show a negative one. Finally, countermeasures of improving the construction and the development of urban public-bike are proposed in order to improve the utilization and to achieve the goal of energy conservation, environmental friendliness and green travel.
An Overview of Systematic Reviews of the Role of Vitamin D on Inflammation in Patients with Diabetes and the Potentiality of Its Application on Diabetic Patients with COVID-19

Almost two years have passed since the outbreak reported for the first time in Wuhan of coronavirus disease 2019 (COVID-19), due to severe acute respiratory syndrome (SARS)-CoV-2 coronavirus, rapidly evolved into a pandemic. This infectious disease has stressed global health care systems. The mortality rate is higher, particularly in elderly population and in patients with comorbidities such as hypertension, diabetes mellitus, cardiovascular disease, chronic lung disease, chronic renal disease, and malignancy. Among them, subjects with diabetes have a high risk of developing severe form of COVID-19 and show increased mortality. How diabetes contributes to COVID-19 severity remains unclear. It has been hypothesized that it may be correlated with the effects of hyperglycemia on systemic inflammatory responses and immune system dysfunction. Vitamin D (VD) is a modulator of immune-response. Data from literature showed that vitamin D deficiency in COVID-19 patients increases COVID-19 severity, likely because of its negative impact on immune and inflammatory responses. Therefore, the use of vitamin D might play a role in some aspects of the infection, particularly the inflammatory state and the immune system function of patients. Moreover, a piece of evidence highlighted a link among vitamin D deficiency, obesity and diabetes, all factors associated with COVID-19 severity. Given this background, we performed an overview of the systematic reviews to assess the association between vitamin D supplementation and inflammatory markers in patients with diabetes; furthermore, vitamin D’s possible role in COVID-19 patients was assessed as well. Three databases, namely MEDLINE, PubMed Central and the Cochrane Library of Systematic Reviews, were reviewed to retrieve the pertinent data. The aim of this review is to provide insight into the recent advances about the molecular basis of the relationship between vitamin D, immune response, inflammation, diabetes and COVID-19.
Does freedom of information contribute to more open administrations? An empirical analysis of the link between active and passive forms of transparency

ABSTRACT Government transparency has been widely commented through the adoption of freedom of information laws. Several studies have shown a positive effect of access to information on government transparency. This contribution, based on a quantitative analysis of 2,222 Swiss municipalities, adds to the literature by combining disclosure of information on municipalities’ websites and constrained release of information. The findings indicate that more proactive transparency practices are not observed in regional entities that have enacted transparency laws. Nevertheless, they also indicate that levels of proactive transparency are slightly higher in municipalities where freedom of information has been implemented for a long time.
Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India

The prevalence and predictors of osteoporosis and osteopenia remain to be examined in the postmenopausal women of Punjab, India. The present cross-sectional study screened 1628 postmenopausal women during September 2019 to March 2020. Osteoporosis and osteopenia were confirmed on the basis of T-scores using dual energy X-ray absorptiometry (DXA) at the hip (femoral neck) and lumbar spine regions (L1–L4 vertebrae). The prevalence of osteoporosis and osteopenia was observed to be 30.50% and 44.20%, respectively, in postmenopausal women of Punjab. In univariable and multivariable regression analysis, variables independently influencing the risk of osteoporosis and osteopenia were: higher systolic blood pressure (95%CI: 1.22–3.11 & 1.08–2.49), triglyceride levels (95%CI: 1.21–3.10 & 1.42–2.51), poor sleep quality (95%CI: 1.91–2.47 & 1.76–3.47) and C-reactive protein levels (95%CI: 2.18–3.56 & 1.03–2.18). Years since menopause >10 years was observed to be an independent predictor for the risk of osteopenia but not for osteoporosis. Higher body mass index (>30 kg·m−2) was observed to be a significant protective factor against the risk of osteoporosis (95%CI: 0.26–0.68) and osteopenia (95%CI: 0.19–0.52). The higher prevalence rates of osteoporosis and osteopenia in postmenopausal women of Punjab are alarming, which solicits awareness and earlier testing of those women who are approaching menopause.
Identification and analysis of a prognostic ferroptosis and iron-metabolism signature for esophageal squamous cell carcinoma

Background: The role of ferroptosis in esophageal squamous cell carcinoma (ESCC) is still unclear. Methods: The association of iron metabolism and ferroptosis-related genes with the prognosis, copy number variation (CNV), TMB, and immune cell infiltration of ESCC was explored using data from the GEO and TCGA database and validated by immunofluorescence in 112 ESCC patients from our center. The potential anti-cancer drugs and compounds from the GDSC and the Connectivity Map database were also screened. Results: A total of 117 iron metabolism and ferroptosis-related genes were identified. We found the expressions of PRNP, SLC3A2, SLC39A8, and SLC39A14 negatively related to the prognosis of ESCC patients, while ATP6V0A1 and LCN2 were opposite, which was validated in 112 ESCC samples from our center. And a prognostic signature was constructed based on their expressions and Cox regression coefficient (β). The low-score group exhibited a significantly worse OS. Besides, analysis of 179 ESCC samples from GSE53625 revealed that patients of poorly differentiation, more than 60 years, T4 stage, advanced N stage, advanced stage, and adjuvant therapy also exhibited a significantly shorter OS, based on which a nomogram to predict the OS was established. Moreover, the low-score group exhibited significantly higher CNV and TMB and more frequent mutations of TP53, MUC16, and NOTCH1. Higher proportion of Macrophages M2, and lower proportion of T cells follicular helper were observed in the low-score group. We discovered that AZD7762, Sunitinib, Cytarabine, Docetaxel, Vinblastine, and Elesclomol exhibited lower IC50 in the low-score group. And 20 potential compounds were identified from the CMap database. Conclusions: Six iron metabolism and ferroptosis-related genes were associated with the prognosis, CNV, TMB, and immune cell infiltration of ESCC. Some potential anti-cancer drugs and compounds may be helpful for OS.
COUPLING MECHANICS AND TRANSPORT IN DISCRETE MESO-LEVEL MODEL: VERIFICATION

Cracking in concrete has a paramount impact on the durability of structures. The natural permeability of a healthy material is severely magnified in the presence of cracks. Cracks form a network of channels capable to transport a fluid that may chemically or physically interact with concrete constituents or the reinforcing steel, leading to deterioration of structural members or entire structures. Moreover, the presence of a pressurized fluid in cracks and pores leads to further crack development and therefore also to further increase in permeability. In order to predict the behavior of fractured quasibrittle solids filled with a pressurized fluid, a robust mechanical model is needed to describe the crack widths, connectivity, tortuosity, spacing, etc. The mechanical model must be fully coupled with a transport model into a multiphysical solver. We present such a solver, and validate it by comparison with experimental data from literature. The model is discrete, allowing to easily embody cracks and the coupling mechanisms. Individual discrete units represent mineral aggregates while the inter-particle contacts account for matrix between them.
A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks

Today’s advancements in wireless communication technologies have resulted in a tremendous volume of data being generated. Most of our information is part of a widespread network that connects various devices across the globe. The capabilities of electronic devices are also increasing day by day, which leads to more generation and sharing of information. Similarly, as mobile network topologies become more diverse and complicated, the incidence of security breaches has increased. It has hampered the uptake of smart mobile apps and services, which has been accentuated by the large variety of platforms that provide data, storage, computation, and application services to end-users. It becomes necessary in such scenarios to protect data and check its use and misuse. According to the research, an artificial intelligence-based security model should assure the secrecy, integrity, and authenticity of the system, its equipment, and the protocols that control the network, independent of its generation, in order to deal with such a complicated network. The open difficulties that mobile networks still face, such as unauthorised network scanning, fraud links, and so on, have been thoroughly examined. Numerous ML and DL techniques that can be utilised to create a secure environment, as well as various cyber security threats, are discussed. We address the necessity to develop new approaches to provide high security of electronic data in mobile networks because the possibilities for increasing mobile network security are inexhaustible.
Elliptical Birefringent Rib‐Channel Chirowaveguides for Quasicircularly Polarized Light Applications in Integrated Photonics

Polarization in photonic‐integrated circuits (PICs) is governed by transverse electric (TE) and magnetic (TM) polarizations due to the planar structure of the chips. Therefore, all states of polarization (SOPs) other than TE and TM, in particular circular polarization, cannot be routed without modification across the chips. Herein, the realization of rib‐channel chirowaveguides supporting elliptically polarized guided modes by combining linear and circular birefringences as predicted by the coupled mode approach is shown. The sol–gel process and the imprint technique to make channel chirowaveguides with different sizes and consequently modulate ellipticity of the eigenmodes from linear to quasicircular are used. Circularly polarized light propagates therefore with a low polarization beating and in particular without handedness inversion. These results open the field of application of PICs to all domains where circularly polarized light is relevant.
χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM

In a network architecture, an intrusion detection system (IDS) is one of the most commonly used approaches to secure the integrity and availability of critical assets in protected systems. Many existing network intrusion detection systems (NIDS) utilize stand-alone classifier models to classify network traffic as an attack or as normal. Due to the vast data volume, these stand-alone models struggle to reach higher intrusion detection rates with low false alarm rates( FAR). Additionally, irrelevant features in datasets can also increase the running time required to develop a model. However, data can be reduced effectively to an optimal feature set without information loss by employing a dimensionality reduction method, which a classification model then uses for accurate predictions of the various network intrusions. In this study, we propose a novel feature-driven intrusion detection system, namely χ2-BidLSTM, that integrates a χ2 statistical model and bidirectional long short-term memory (BidLSTM). The NSL-KDD dataset is used to train and evaluate the proposed approach. In the first phase, the χ2-BidLSTM system uses a χ2 model to rank all the features, then searches an optimal subset using a forward best search algorithm. In next phase, the optimal set is fed to the BidLSTM model for classification purposes. The experimental results indicate that our proposed χ2-BidLSTM approach achieves a detection accuracy of 95.62% and an F-score of 95.65%, with a low FAR of 2.11% on NSL-KDDTest+. Furthermore, our model obtains an accuracy of 89.55%, an F-score of 89.77%, and an FAR of 2.71% on NSL-KDDTest−21, indicating the superiority of the proposed approach over the standard LSTM method and other existing feature-selection-based NIDS methods.
Dendropanax trifidus Sap-Mediated Suppression of Obese Mouse Body Weight and the Metabolic Changes Related with Estrogen Receptor Alpha and AMPK-ACC Pathways in Muscle Cells

Dendropanax trifidus (DT) is a medicinal herb native to East Asia, which has been used extensively for its therapeutic properties in traditional medicine. In this study, we examined the effects of DT sap on the regulation of body weight and muscle metabolism in mice. Obese model db/db mice were administered daily with DT sap or vehicle control over a 6-week period. The effects of DT sap on muscle metabolism were studied in C2C12 muscle cells, where glycolytic and mitochondrial respiration rates were monitored. As AMP-activated protein kinase (AMPK) is a master regulator of metabolism and plays an important function as an energy sensor in muscle tissue, signaling pathways related with AMPK were also examined. We found that DT sap inhibited body weight increase in db/db, db/+, and +/+ mice over a 6-week period, while DT sap-treated muscle cells showed increased muscle metabolism and also increased phosphorylation of AMPK and Acetyl-CoA Carboxylase (ACC). Finally, we found that DT sap, which is enriched in estrogen in our previous study, significantly activates estrogen alpha receptor in a concentration-dependent manner, which can drive the activation of AMPK signaling and may be related to the muscle metabolism and weight changes observed here.