OBJECTIVES: A growing body of research has incorporated the Social Vulnerability Index (SVI) into an expanded understanding of the social determinants of health. Although each component of SVI and its association with individual-level mental health conditions have been well discussed, variation in mentally unhealthy days (MUDs) at a county level is still unexplored. To systematically examine the geographically varying relationships between SVI and MUDs across the US counties, our study adopted two different methods: 1) aspatial regression modeling (ordinary least square [OLS]); and 2) locally calibrated spatial regression (geographically weighted regression [GWR]). STUDY DESIGN: This study used a cross-sectional statistical design and geospatial data manipulation/analysis techniques. Analytical unit is each of the 3109 counties in the continental USA. METHODS: We tested the model performance of two different methods and suggest using both methods to reduce potential issues (e.g., Simpson's paradox) when researchers apply aspatial analysis to spatially coded data sets. We applied GWR after checking the spatial dependence of residuals and non-stationary issues in OLS. GWR split a single OLS equation into 3109 equations for each county. RESULTS: Among 15 SVI variables, a combination of eight variables showed the best model performance. Notably, unemployment, person with a disability, and single-parent households with children aged under 18 years especially impacted the variation of MUDs in OLS. GWR showed better model performance than OLS and specified each county's varying relationships between subcomponents of SVI and MUDs. For example, GWR specified that 69.3% (2157 of 3109) of counties showed positive relationships between single-parent households and MUDs across the USA. Higher positive relationships were concentrated in Michigan, Kansas, Texas, and Louisiana. CONCLUSIONS: Our findings could contribute to the literature regarding social determinants of community mental health by specifying spatially varying relationships between SVI and MUDs across US counties. Regarding policy implementation, in counties containing more social and physical minorities (e.g., single-parent households and disabled population), policymakers should attend to these groups of people and increase intervention programs to reduce potential or current mental health illness. The results of GWR could help policymakers determine the specific counties that need more support to reduce regional mental health disparities.

• Keywords
• Geographically weighted regression, Mentally unhealthy days (MUDs), Social Vulnerability Index, Spatial modeling,
• MeSH
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Spatial Analysis MeSH
• Spatial Regression * MeSH
• Cross-Sectional Studies MeSH
• Social Vulnerability * MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Michigan MeSH

The municipal police agencies increase the safety of a municipality's citizens and thus increase their quality of life. When performing interventions, municipal police officers may endanger their safety and health. This paper deals with the analysis of the riskiness of municipal police officers working in the Slovak Republic and the Czech Republic from 2004 to 2019 and the assessment of their occupational safety. The risk analysis was carried out on the basis of a risk matrix and calculations of the probability of attack and injury to municipal police officers. Using the Pearson correlation coefficient, the dependence between the selected variables was investigated. The reliability of this dependence was examined by the determination coefficient. The main result of the paper is the determination of the riskiness category of municipal police officer work based on the assessment of the occupational health protection of officers through statistical indicators of their activities and risk matrix. The results will serve as part of the explanatory memorandum for the proposal of legislative changes in order to increase the occupational health protection of municipal police officers.

• Keywords
• municipal police, occupational health, police, risk assessment, vulnerability,
• MeSH
• Occupational Health * MeSH
• Quality of Life MeSH
• Humans MeSH
• Police * MeSH
• Reproducibility of Results MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Czech Republic MeSH
• Slovakia MeSH

INTRODUCTION: Morphological correlates of nonpathological déjà vu (DV) have been identified recently within the human brain. Significantly reduced gray matter volume (GMV) within a set of cortical and subcortical regions reported in subjects experiencing DV seems to mirror the distribution of GMV reduction in mesial temporal lobe epilepsy (MTLE) patients but vary in terms of the hippocampus. Another condition associated with hippocampal GMV reduction and DV alike disturbance in memory processing is schizophrenia (SCH). Here, we tested the hypothesis that hippocampal involvement in nonpathological DV resembles more closely the pattern of GMV decrease observed in MTLE compared with that occurring in SCH. METHODS: Using automated segmentation of the MRI data we compared the medians of GMV within 12 specific hippocampal subfields in healthy individuals that do (DV+; N = 87) and do not report déjà vu experience (DV-; N = 26), and patients with MTLE (N = 47) and SCH (N = 29). By Pearson correlation, we then evaluated the similarity of MTLE and SCH groups to DV+ group with respect to spatial distribution of GMV deviation from DV- group. RESULTS: Significant GMV decrease was found in MTLE group in most of the subfields. There were just trends in the hippocampal GMV decrease found in DV+ or SCH groups. Concerning the spatial distribution of GMV decrease, we revealed statistically significant correlation for the left hippocampus for SCH vs DV+. Otherwise there was no statistically significant correlation. CONCLUSIONS: Our findings reveal structural features of hippocampal involvement in nonpathological DV, MTLE, and SCH. Despite our expectations, the pattern of GMV reduction in the DV+ relative to the DV- group does not resemble the pattern observed in MTLE any more than that observed in SCH. The highly similar patterns of the three clinical groups rather suggest an increased vulnerability of certain hippocampal subfields; namely, Cornu Ammonis (CA)4, CA3, dentate gyrus granular cell layer (GC-DG), hippocampal-amygdaloid transition area (HATA) and subiculum.

• Keywords
• deja vu, hippocampal subfields, hippocampal vulnerability, mesial temporal lobe epilepsy, schizophrenia,
• MeSH
• Deja Vu psychology   MeSH
• Adult MeSH
• Epilepsy, Temporal Lobe physiopathology   MeSH
• Hippocampus physiology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Magnetic Resonance Imaging methods   MeSH
• Brain Mapping MeSH
• Adolescent MeSH
• Young Adult MeSH
• Schizophrenia physiopathology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Adolescent MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

This paper deals with the vulnerability of machine learning models to adversarial examples and its implication for robustness and generalization properties. We propose an evolutionary algorithm that can generate adversarial examples for any machine learning model in the black-box attack scenario. This way, we can find adversarial examples without access to model's parameters, only by querying the model at hand. We have tested a range of machine learning models including deep and shallow neural networks. Our experiments have shown that the vulnerability to adversarial examples is not only the problem of deep networks, but it spreads through various machine learning architectures. Rather, it depends on the type of computational units. Local units, such as Gaussian kernels, are less vulnerable to adversarial examples.

• Keywords
• Adversarial examples, Genetic algorithms, Kernel methods, Neural networks, Supervised learning,
• MeSH
• Algorithms MeSH
• Humans MeSH
• Neural Networks, Computer * MeSH
• Supervised Machine Learning * trends   MeSH
• Pattern Recognition, Automated methods   trends   MeSH
• Machine Learning trends   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

Glaucoma, one of the most common causes of blindness in developing countries today, involves a progressive loss of neural cells in the optic nerve that leads to progressive, irreversible vision loss. Increased intraocular pressure (IOP) presents as a major risk factor for glaucoma, although there exist cases of glaucoma patients with normal IOP that exhibit damage to retinal ganglion cells (RGCs) and the optic nerve. However, treatment approaches have maintained their focus on modifying IOP due to a lack of other modifiable risks factors. Traditional concepts in glaucoma involve the neuronal environment and external effects as a source of causative factors; however, studies have yet to investigate whether the molecular profile of RGCs in glaucoma patients makes them more vulnerable and/or susceptible to external damage. Our hypothesis states that molecular changes at the whole cell, gene expression, and electrophysiological level of the neurons can contribute to their degeneration. Herein, we briefly describe different types of glaucoma and any similarities to different molecular and cellular features of neurodegeneration. To test our hypothesis, we describe human induced pluripotent stem cells (hiPSCs) as a reliable cellular tool to model neurodegenerative aspects of glaucoma to reveal the multiple pathological molecular mechanisms underlying disease development.

• Keywords
• 3D organoids, Glaucoma, disease modelling, induced pluripotent stem cells, neurodegenerative diseases, retinal ganglion cells,
• MeSH
• Genetic Predisposition to Disease * MeSH
• Glaucoma * etiology   genetics   metabolism   pathology   MeSH
• Induced Pluripotent Stem Cells * MeSH
• Humans MeSH
• Neurodegenerative Diseases * etiology   genetics   metabolism   pathology   MeSH
• Retinal Ganglion Cells * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH
• Research Support, N.I.H., Extramural MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH

OBJECTIVE AND METHODS: 5-Hydroxytryptamine (serotonin) receptor 2B (HTR2B) is involved in brain development. Although expressed in the human brain, HTR2B has not been investigated much for its role in higher brain functions. Here we describe a genome-scan with 391 simple sequence repeat markers in 300 Caucasians, identifying HTR2B gene as a candidate for drug abuse vulnerability. RESULTS: From DNA re-sequencing of 110 subjects, we discovered three novel single nucleotide polymorphisms (SNPs), two of which confer a double-mutant of the receptor protein in a drug-abusing population. Arg6, a conserved basic residue, and the conserved acidic Glu42 are mutated simultaneously into Gly, termed R6G/E42G. Furthermore, this double-mutant tends to associate with drug abuse (P = 0.08 by chi2 test). The third SNP that is a synonymous mutation in the codon of Gln11 showed significant association with drug abuse (P = 0.0335 by Fisher's exact test). CONCLUSION: Our data are the first suggesting that HTR2B contributes to brain architecture and pathways that are involved in illegal drug reward.

• MeSH
• Alleles MeSH
• White People genetics   MeSH
• Adult MeSH
• Gene Frequency MeSH
• Genetic Variation MeSH
• Genetic Markers MeSH
• Glycine metabolism   MeSH
• Polymorphism, Single Nucleotide * MeSH
• Codon MeSH
• Cohort Studies MeSH
• Humans MeSH
• Microsatellite Repeats MeSH
• Substance-Related Disorders genetics   MeSH
• Receptor, Serotonin, 5-HT2B genetics   MeSH
• Sequence Analysis, DNA MeSH
• Amino Acid Substitution MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, U.S. Gov't, P.H.S. MeSH
• Comparative Study MeSH
• Names of Substances
• Genetic Markers MeSH
• Glycine MeSH
• Codon MeSH
• Receptor, Serotonin, 5-HT2B MeSH

Wind and bark beetle disturbances have increased in recent decades, affecting Europe's coniferous forests with particular severity. Management fostering forest diversity and resilience is deemed to effectively mitigate disturbance impacts, yet its efficiency and interaction with other disturbance management measures remain unclear.We focused on Central Europe, which has become one of the hotspots of recent disturbance changes. We used the iLand ecosystem model to understand the interplay between species composition of the forest, forest disturbance dynamics affected by climate change, and disturbance management. The tested measures included (a) active transformation of tree species composition toward site-matching species; (b) intensive removal of windfelled trees, which can support the buildup of bark beetle populations; and (c) reduction of mature and vulnerable trees on the landscape via modified harvesting regimes.We found that management systems aiming to sustain the dominance of Norway spruce in the forest are failing under climate change, and none of the measures applied could mitigate the disturbance impacts. Conversely, management systems fostering forest diversity substantially reduced the level of disturbance. Significant disturbance reduction has been achieved even without salvaging and rotation length reduction, which is beneficial for ecosystem recovery, carbon, and biodiversity. Synthesis and applications: We conclude that climate change amplifies the contrast in vulnerability of monospecific and species-diverse forests to wind and bark beetle disturbance. Whereas forests dominated by Norway spruce are not likely to be sustained in Central Europe under climate change, different management strategies can be applied in species-diverse forests to reach the desired control over the disturbance dynamic. Our findings justify some unrealistic expectations about the options to control disturbance dynamics under climate change and highlight the importance of management that fosters forest diversity.

• Keywords
• Central Europe, bark beetles, climate change, disturbance management, salvage logging, simulation model, tree species diversity,
• Publication type
• Journal Article MeSH

Top dieback in 40-60 years old forest stands of Norway spruce [Picea abies (L.) Karst.] in southern Norway is supposed to be associated with climatic extremes. Our intention was to learn more about the processes related to top dieback and in particular about the plasticity of possible predisposing factors. We aimed at (i) developing proxies for P 50 based on anatomical data assessed by SilviScan technology and (ii) testing these proxies for their plasticity regarding climate, in order to (iii) analyze annual variations of hydraulic proxies of healthy looking trees and trees with top dieback upon their impact on tree survival. At two sites we selected 10 tree pairs, i.e., one healthy looking tree and one tree with visual signs of dieback such as dry tops, needle shortening and needle yellowing (n = 40 trees). Vulnerability to cavitation (P 50) of the main trunk was assessed in a selected sample set (n = 19) and we thereafter applied SilviScan technology to measure cell dimensions (lumen (b) and cell wall thickness (t)) in these specimen and in all 40 trees in tree rings formed between 1990 and 2010. In a first analysis step, we searched for anatomical proxies for P 50. The set of potential proxies included hydraulic lumen diameters and wall reinforcement parameters based on mean, radial, and tangential tracheid diameters. The conduit wall reinforcement based on tangential hydraulic lumen diameters ((t/b ht)(2)) was the best estimate for P 50. It was thus possible to relate climatic extremes to the potential vulnerability of single annual rings. Trees with top dieback had significantly lower (t/b ht)(2) and wider tangential (hydraulic) lumen diameters some years before a period of water deficit (2005-2006). Radial (hydraulic) lumen diameters showed however no significant differences between both tree groups. (t/b ht)(2) was influenced by annual climate variability; strongest correlations were found with precipitation in September of the previous growing season: high precipitation in previous September resulted in more vulnerable annual rings in the next season. The results are discussed with respect to an "opportunistic behavior" and genetic predisposition to drought sensitivity.

• Keywords
• Norway spruce, Picea abies, climatic extremes, conduit wall reinforcement, functional wood anatomy, global warming, top dieback,
• Publication type
• Journal Article MeSH

In today's world, the volume of cyber attacks grows every year. These attacks can cause many people or companies high financial losses or loss of private data. One of the most common types of attack on the Internet is a DoS (denial-of-service) attack, which, despite its simplicity, can cause catastrophic consequences. A slow DoS attack attempts to make the Internet service unavailable to users. Due to the small data flows, these attacks are very similar to legitimate users with a slow Internet connection. Accurate detection of these attacks is one of the biggest challenges in cybersecurity. In this paper, we implemented our proposal of eleven major and most dangerous slow DoS attacks and introduced an advanced attack generator for testing vulnerabilities of protocols, servers, and services. The main motivation for this research was the absence of a similarly comprehensive generator for testing slow DoS vulnerabilities in network systems. We built an experimental environment for testing our generator, and then we performed a security analysis of the five most used web servers. Based on the discovered vulnerabilities, we also discuss preventive and detection techniques to mitigate the attacks. In future research, our generator can be used for testing slow DoS security vulnerabilities and increasing the level of cyber security of various network systems.

• Keywords
• detection, network security, prevention, slow DoS attacks, vulnerability testing,
• MeSH
• Humans MeSH
• Forecasting MeSH
• Computer Security * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

The operational safety assessment of the unmanned vehicles is crucial for their subsequent practical use. The safety limit criteria used for the operation assessment, especially values closely related to the safety of persons and their vulnerability to collision with these vehicles, represent nowadays a significant limitation. This contribution presents the currently discussed and proposed human safety criteria for the UAS, evaluates the available data from the collision dynamic tests and computer modelling and provides the possibility to compare and evaluate these criteria on a validated set of data. A total of five small UAS, three multi-rotor quadcopters and two fixed-wing aircrafts were used to verify the current methods and serve as a basis for the assessment. The results of the measurements obtained through the crash tests demonstrate the excessive restrictiveness of the currently used kinetic energy threshold values and the limited value of some proposed criterions, e.g. the blunt criterion. On the contrary, they point to the appropriateness of the application of car vulnerability criterions. The UAS mass or kinetic energy tests represent an easily definable threshold value, however, the available data sets and the tests performed showed limitations of its applicability for the deformable and fragile UAS structures. The article aims to verify, based on its own impact tests, the adequacy of the evaluation of the safety criteria of the UAS operation in relation to the development of the current legislation that defines the conditions of use of these machines.

• Keywords
• Crash tests, Ground risks, Human vulnerability model, Threshold, UAS,
• Publication type
• Journal Article MeSH