Miracle-dz/UniFAR-FTUs huggingface dataset:
Context Aware Monitoring for Smart Grids

Today's energy grids face an increasing number of decentralized and renewable energy sources as well as growing e-mobility. Therefore, reliable grid monitoring becomes a key element for a sustainable grid operation. Traditional grid monitoring concepts are either fully manual, need a detailed system model, or rely on computationally heavy machine learning concepts. However, with the given complexity of the energy grid, a model-free and context-aware monitoring approach can save resources and efforts. Recently, we introduced the Confidence-based Context-Aware Condition Monitoring (CCAM) system and successfully tested it on two different industrial use-cases: a hydraulic circuit and an AC motor. In this paper, we enhance CCAM for a third, entirely different industrial use case, an energy grid, by introducing two extensions - a continuous reevaluation and a state mooring approach. Furthermore, we present a new Smart Grid monitoring methodology on top of CCAM, paving the way for new real-time grid control systems. We evaluate our approach based on historical load data from a low voltage grid section. Our results show that characteristics of a daily load profile can be learned and outliers can be detected.
Different Stand types Alter Soil Properties and Microbial Community in Warm Temperate Forest

Soil microorganism play an important role in maintaining the structure and function in warm temperate forest ecosystem. In order to explore the characteristics of soil microbial community under different stand types in in warm temperate zone, Illunima Miseq High-throughput Sequencing was used to assess the soil bacteria (16S rRNA) and fungi (ITS rRNA) communities of five forest stands (Pinus tabulaeformis [PT], Juglans mandshurica [JM], Betula platyphylla [BP], Betula dahurica [BD] and Quercus mongolica [QM]) in Songshan Nature Reserve. The results showed that the bacterial diversity under Juglans mandshurica forest was higher than other types, the fungal diversity under Pinus tabulaeformis forest was higher than other types. The dominant phyla and gene of soil bacteria were similar in different stand types, but there were significant differences in abundance and dominant gene of fungal community. VPA analysis showed that soil explained 49.1% of the variance in bacterial community composition and 70.6% of the variance in fungal community composition. RDA analysis showed that the dominant phyla were significantly correlated with soil pH, SOM, TN and AN. Based on our results, there are significant differences in soil microbial community structure among different stand types. Consequently, our results have important implications for understanding the driving mechanisms that control the soil microbial community during warm temperate forest.
Evaluating the imitation game as a method for comparative research: a replication study using imitation games about religion

ABSTRACT The Imitation Game is a new method and, as such, it is important to show that its results are plausible and replicable. We tested this by conducting Imitation Games on religion in a range of European countries, returning approximately 12 months later to repeat the research. The idea was that non-Christian members of strongly Christian countries would find it easy to pass as members of the practicing majority because Christian beliefs and practices would be ubiquitous. In more secular countries, the expectation was that non-Christians would find it harder to pass as Christian because religious practices are less visible. We show that, despite some anomalous results, the data are consistent with expectations derived from survey data and that the claim to have replicated the results can be supported. We also suggest that our experiences show that questions of replication in the social sciences cannot be resolved by statistical meta-analysis alone.
Risk Culture and COVID-19 Protective Behaviors: A Cross-Sectional Survey of Residents in China

The COVID-19 outbreak caused by the Severe Acute Respiratory Syndrome CoronaVirus type 2 (SARS-CoV-2) has spread across the world. However, our understanding of the public responses, in particular in adopting protective behaviors, has been limited. The current study aimed to determine the level of protective behaviors adopted by the residents in China and its association with their cultural attributes. A national cross-sectional online survey was conducted in mainland China from 4th to 13th August 2020. Protective behaviors were assessed as a summed score (ranging from 0 to 40) measured by ten items. The self-report tendency of study participants toward the four cultural attributes (individualism, egalitarianism, fatalism, hierarchy) was rated on a seven-point Likert scale. A total of 17651 respondents returned a valid questionnaire, representing 47.9% of those who accessed the online survey. Most (89.8%) respondents aged between 18 and 45 years in the age range of and 47.7% were male. High levels of protective behaviors (34.04 ± 5.78) were reported. The respondents had high scores in the cultural attributes of hierarchy (Median = 5) and egalitarianism (Median = 5), compared with low scores in individualism (Median = 1) and fatalism (Median = 1). High levels of protective behaviors were associated a higher tendency toward egalitarianism (AOR = 2.90, 95% CI 2.67–3.15) and hierarchy (AOR = 1.66, 95% CI 1.53–1.81) and a low tendency toward fatalism (AOR = 1.79, 95% CI 1.63–1.97) and individualism (AOR = 2.62, 95% CI 2.41–2.85). The cultural attributes explained 17.3% of the variations in the protective behavioral scores. In conclusion, the adoption of protective behaviors is associated a risk culture characterized by high levels of hierarchy and egalitarianism and low levels of individualism and fatalism. Government actions and communication strategies need to adapt to the cultural characteristics of their target audience.
Ochratoxins’ Effects on the Functional Properties and Nutritional Compositions of Grains

This study assessed the effects of total ochratoxins on the nutritional composition and functional properties of grain flours. The grains cowpea, sorghum, maize, groundnut, rice, millet, and acha were milled. The proximate composition, functional properties, as well as Total Ochratoxin levels, were determined. The effects of the Ochratoxins on the nutritional and functional properties of the grains were evaluated. Ochratoxin levels in grain flours ranged from 0.09 to 54.41 μg/kg and not seen in some rice samples. Most Total Ochratoxin levels found in the grains were beyond the WHO/EU/FAO permissible limit, 5.00 µg/kg. Groundnut and Cowpea have a significant high content of protein and fiber. Groundnut had the highest average fat content, 41.84 %. The ash content of the grains ranged from 0.73 to 3.61%. The presence of ochratoxins had a significant impact on the grain's carbohydrates, proteins, and fat. Their presence had moderate effects on crude fiber, ash, and functional properties and negligible effect on grain moisture.
Hard Work, Risk-Taking, and Diversity in a Model of Collective Problem Solving

We studied an agent-based model of collective problem solving in which teams of agents search on an NK landscape and share information about newly found solutions. We analyzed the e ects of team members’ behavioral strategies, team size, and team diversity on overall performance. Depending on the landscape complexity and a team’s features a teammay eventually find the best possible solution or become trapped at a local maximum. Hard-working agents can explore more solutions per unit time, while risk-taking agents inject randomness in the solutions they test. We found that when teams solve complex problems, both strategies (risk-taking and hard work) have positive impacts on the final score, and the positive e ect of moderate risktaking is substantial. However, risk-taking has a negative e ect on how quickly a team achieves its final score. If time restrictions can be relaxed, a moderate level of risk can produce an improved score. If the highest priority is instead to achieve the best possible score in the shortest amount of time, the hard work strategy has the greatest impact. When problems are simpler, risk-taking behavior has a negative e ect on performance, while hard work decreases the time required to solve the problem. We also find that larger teams generally solved problems more e ectively, and that some of this positive e ect is due to the increase in diversity. We showmore generally that increasing the diversity of teams has a positive impact on the team’s final score, while morediverse teamsalso require less time to reach their final solution. Thiswork contributesoverall to the larger literature on collective problem solving in teams.
Combined Photothermotherapy and Chemotherapy of Oral Squamous Cell Carcinoma Guided by Multifunctional Nanomaterials Enhanced Photoacoustic Tomography

Background Squamous cell carcinoma of the head and neck is the sixth most common cancer worldwide, with 40% occurring in the oral cavity. Although the level of early diagnosis and treatment of OSCC has improved significantly, the five-year survival rate of advanced patients remains unsatisfactory. However, the main challenges before us are how to get an early and accurate diagnosis and how to formulate effective treatment. Nanoparticle-based chemo-photothermal therapy has proven to be a promising non-invasive approach to treating oral squamous cell carcinoma treatment. Methods In this study, we tried to design and synthesize multifunctional hyaluronic acid (HA) modified gold nanorods/mesoporous silica-based nanoparticles loaded with doxorubicin hydrochloride (DOX) for photoacoustic imaging (PAI) guided cooperative chemo-photothermal therapy. Results The resultant nanocomposite shows favorable biocompatibility, relatively low cytotoxicity, ideal drug loading capability and strong PAI signals. In addition, they showed an excellent photothermal conversion efficiency of 49.02% for photothermal therapy (PTT). Moreover, in vivo and in vitro experiments have shown that synergistic chemo-photothermal therapy has better therapeutic effects than chemotherapy alone or PTT (P < 0.05). After being injected into the CAL-27 tumor-bearing mice, the DOX-AuNRs@mSiO2-HA nanoparticles could accumulate rapidly at the tumor sites and achieve complete ablation of tumors when combined with near-infrared laser irradiation, without obvious side effects on normal tissues. Conclusion Our research provides a solid demonstration of the potential of DOX–AuNRs@mSiO2-HA as a multifunctional platform in PAI-guided photothermal chemotherapy for oral squamous cell carcinoma.
Orai1–STIM1 Regulates Increased Ca2+ Mobilization, Leading to Contractile Duchenne Muscular Dystrophy Phenotypes in Patient-Derived Induced Pluripotent Stem Cells

Ca2+ overload is one of the factors leading to Duchenne muscular dystrophy (DMD) pathogenesis. However, the molecular targets of dystrophin deficiency-dependent Ca2+ overload and the correlation between Ca2+ overload and contractile DMD phenotypes in in vitro human models remain largely elusive. In this study, we utilized DMD patient-derived induced pluripotent stem cells (iPSCs) to differentiate myotubes using doxycycline-inducible MyoD overexpression, and searched for a target molecule that mediates dystrophin deficiency-dependent Ca2+ overload using commercially available chemicals and siRNAs. We found that several store-operated Ca2+ channel (SOC) inhibitors effectively prevented Ca2+ overload and identified that STIM1–Orai1 is a molecular target of SOCs. These findings were further confirmed by demonstrating that STIM1–Orai1 inhibitors, CM4620, AnCoA4, and GSK797A, prevented Ca2+ overload in dystrophic myotubes. Finally, we evaluated CM4620, AnCoA4, and GSK7975A activities using a previously reported model recapitulating a muscle fatigue-like decline in contractile performance in DMD. All three chemicals ameliorated the decline in contractile performance, indicating that modulating STIM1–Orai1-mediated Ca2+ overload is effective in rescuing contractile phenotypes. In conclusion, SOCs are major contributors to dystrophin deficiency-dependent Ca2+ overload through STIM1–Orai1 as molecular mediators. Modulating STIM1–Orai1 activity was effective in ameliorating the decline in contractile performance in DMD.
Trajectories of Depression and Their Associations with Mortality in Older People in Korea over 12 Years

Background: As the course of depression and depressive symptoms over a lifetime varies between individuals, we used trajectory models based on the Korean Longitudinal Study of Aging to repeatedly measure symptoms over a follow-up period of 12 years to reveal the association with mortality.Methods: Three thousand five hundred sixty-one (1,483 men and 2,078 women) subjects aged over 65 years were included. Using the 10-item Center for Epidemiological Studies Depression Scale (CES-D 10), a trajectory model was classified into different depressive symptom groups by gender. Cox proportional hazards models were used to investigate the association between depression trajectory and all-cause mortality.Results: We identified four trajectories of depressive symptoms in both men and women characterized by low CES-D 10 scores throughout the study: Low trajectory (LT), Moderate high trajectory (MHT), High, but increasing trajectory (HIT), and High, but decreasing trajectory (HDT). The adjusted hazard ratios of the HIT, HDT, and MHT compared with LT in men were 2.12 (95% confidence interval [CI], 1.43-3.16), 1.52 (95% CI, 0.96-2.40), and 1.58 (95% CI, 1.10-2.26), respectively. In women, ratios of each group were 1.62 (95% CI, 1.25-2.10), 0.84 (95% CI, 0.61-1.16), and 1.20 (95% CI, 0.99-1.46). Conclusions: Highly depressive symptoms that increased over the 12 years period were associated with the highest risk of mortality in the Korean elderly population. The trajectory group with remitting depressive symptoms (HDT), despite having a similar baseline level of mood symptoms as the high increasing group (HIT) experienced a lower mortality risk in both men and women.
Spinal Subdural Hematoma With Paraplegia Mimicking Dorsolumbar Prolapsed Disc: A Case Report

Background and Importance: Spinal Subdural Hematoma (SSH) is a rare condition with an unknown incidence in the general population. Iatrogenic spinal subdural hematoma radiologically mimicking a prolapsed dorsolumbar disc has not been published in the literature. Case Presentation: A 65-year-old female presented with altered sensorium and generalized weakness for 3 days evaluated by a neurologist who diagnosed it as a metabolic encephalopathy with Syndrome of Inappropriate Antidiuretic Hormone secretion (SIADH) with severe anemia and hypothyroidism. She underwent a diagnostic lumbar puncture and following which, within 24 hours, she developed weakness of both the lower limbs. MRI of dorsolumbar spine was done which revealed D12-L1 extruded disc causing severe compression to the conus medullaris with D12-L2 subarachnoid lesion and cord edema. On opening the dura, a large organized hematoma on the anterior aspect of the conus was seen and evacuated. Conclusion: Spinal subdural hematoma presents with a spectrum of signs and symptoms. Although MRI is the investigation of choice but SSH presenting like a prolapsed intervertebral disc on MRI is one of its kinds and should be kept in mind since it carries a grave prognosis if not treated early with emergency decompression.
Relationship between Arterial Hypertension with Cognitive Performance in Elderly. Systematic Review and Meta-Analysis

Background: Previous systematic reviews report that arterial hypertension (AHT) is associated with lower performance in cognition in the elderly. However, some studies show that with higher blood pressure, a better cognitive performance is obtained. Objective: The aim of this study was to determine the relationship between AHT with cognitive performance in the elderly. Methods: the review involved a search on PubMed, Scopus and PsycINFO databases from January 1990 to March, 2020 to identify the relationship among AHT and cognitive performance in older people. Results: 1170 articles were identified, 136 complete papers were reviewed, a qualitative analysis of 26 studies and a quantitative analysis of eight studies were carried out. It was found that people with AHT have a lower performance in processing speed SMD = 0.40 (95% CI: 0.25, 0.54), working memory SMD = 0.28 (95% CI: 0.15, 0.41) in short-term memory and learning SMD = −0.27 (95% CI: −0.37, −0.17) and delayed recall SMD = −0.20 (95% CI: −0.35, −0.05). Only one study found that higher blood pressure was associated with better memory performance. Conclusion: Our results suggest that high blood pressure primarily affects processing speed, working memory, short-term memory and learning and delayed recall.
AUTOMATUM DATA: Drone-based highway dataset for the development and validation of automated driving software for research and commercial applications

Recent innovation in highly automated driving in industrial and scientific domains has created a growing demand for logical description of statistically meaningful real-world motion data. On one hand this data supports learning-based probabilistic methods in software development while on the other it allows validation and testing. The AUTOMATUM DATA dataset is a new dataset which is now available at automatum-data.com, and was generated initially using 12 characteristic highway-like scenes from 30 hours of drone videos. The processing pipeline for determining the object trajectories was validated with reference vehicles, where the relative speed error was less than 0.2 percent. To generate the dataset described in this study, the objects from the drone videos were first identified and classified. The detected objects were then linked to their coordinate system results to produce valid object trajectories. The presented dataset is freely available for future research and development-based endeavors (Creative Commons license model CC BY-ND).
Behavioural Intrusion Detection for Wireless Sensor Networks

Wireless sensor networks are used increasingly in various different fields. The information which they measure and distribute is often sensitive or valuable and this incentivises attacks on the networks. Moreover, they are distributed and make use of wireless communications which makes them vulnerable to attack. This paper presents an intrusion detector for wireless sensor networks which makes use of behavioural data from the network. The intrusion detectors was evaluated in a resource constrained environment because wireless sensor networks have limited computational and energy resources. The developed system was found to be very accurate as well as computationally lightweight.
Quercetin Alleviates Demyelination to Mitigate Neuropsychiatric Symptoms Through Promoting Microglia M2 Polarization in Mice with Vascular Dementia

Cerebral hypoperfusion plays a pivotal role in the ictus and development of vascular dementia (VaD) with neuropsychiatric symptoms. To date, few pharmacological interventions for neuropsychiatric symptoms are available in the VaD patients with neuropsychiatric impairments. Here, our results demonstrated that the extent of demyelination was dramatically deteriorated and the thickness of myelin sheath were evidently decreased in the presence of cerebral hypoperfusion, whereas Quercetin possessed the potential of abrogating these effects at least in part, then relieving anxiety and depression-like behavior when mice exposed to bilateral carotid artery stenosis (BCAS)/chronic restraint stress (CRS). The underlying mechanism was that Quercetin facilitated microglia transformation into M2 phenotype, which expedited secretion of anti-inflammatory cytokines (IL-4 and IL-10), and in turn decreased production of pro-inflammatory factors (TNF-α and IL-1β), thereafter enhancing the microglial engulfment ability of myelin fragments in vitro and in vivo. Collectively, the results demonstrated that that Quercetin facilitated microglia transition into M2 phenotype to reduce demyelination in ventral hippocampus (vHIP), thereafter mitigating neuropsychiatric deficits (including anxiety and depression). The present research broadens the therapeutic scope of Quercetin in central nervous system (CNS) disorders with presence of white matter damage and/or the insufficient activation of M2 microglia, particularly for vascular dementia with/without neuropsychiatric symptoms.
Asynchronous Peer-to-Peer Federated Capability-based Targeted Ransomware Detection Model for Industrial IoT

Industrial Internet of Thing (IIoT) systems are considered attractive ransomware targets because they operate critical services that affect human lives and have substantial operational costs. The major concern is with brownfield IIoT systems since they have legacy edge systems that are not fully prepared to integrate with IoT technologies. Various existing security solutions can detect and mitigate such attacks but are often ineffective due to the heterogeneous and distributed nature of the IIoT systems and their interoperability demands. Consequently, developing new detection solutions is essential. Therefore, this paper proposes a novel targeted ransomware detection model tailored for IIoT edge systems. It uses Asynchronous Peer-to-Peer Federated Learning (AP2PFL) and Deep Learning (DL) techniques as a targeted ransomware detection algorithm. The proposed model consists of two modules: 1) Data Purifying Module (DPM) aims to refine and reconstruct a valuable and robust representation of data based on Contractive Denoising Auto-Encoder (CDAE), and 2) Diagnostic and Decision Module (DDM) is used to identify targeted ransomware and its stages based on Deep Neural Network (DNN) and Batch Normalization (BN). The main strengths of this proposed model include: 1) each edge gateway’s modules work cooperatively with its neighbors in an asynchronous manner and without a third party, 2) it deals with both homogeneous and heterogeneous data, and 3) it is robust against evasion attacks. An exhaustive set of experiments on three datasets prove the high effectiveness of the proposed model in detecting targeted ransomware (known and unknown attacks) in brownfield IIoT and the superiority over the state-of-the-art models.
Diurnal Dynamics of Nectar Secretion in Cucurbita maxima Duch: Implications for Effective Pollen Transfer by Japanese Wild Pollinators

To determine whether visits by wild pollinators correspond well with the physiological patterns of animal-pollinated crops, we investigated the diurnal dynamics of nectar secretion in the male and female flowers of cultivated kabocha squash Cucurbita maxima Duch, and its effect on the temporal visitation pattern by bumblebees, their Japanese wild pollinators, relative to visits by introduced honeybees Apis mellifera L. in Hokkaido, Japan. The amount of nectar secreted and the frequency of pollinator visits were monitored from floral opening at dawn until wilting in the early afternoon. Flowers of both sexes secreted nectar in a unimodal diurnal pattern, with secretion peaking during the middle stage of anthesis. The total production of nectar in female flowers was twice that in male flowers. Although the availability of pollinators varied between days, the frequency of visits by bumblebees corresponded well with the dynamics of nectar secretion by the flowers. The diurnal dynamics of nectar secretion and the large availability of nectar reward in female flowers would increase the probability of transferring viable pollen to female flowers and contributing to fruit production of this crop. Bumblebee visits were negatively correlated with honeybee visits. Although this negative correlation could be explained by the complementary effects of pollinators or competitive exclusion, the effects of introducing honeybees on wild pollinators cannot be easily evaluated and thus should be carefully examined by considering the local environmental context in future studies.